diff --git a/.gitignore b/.gitignore index 71c5eaf..0c3e4fe 100644 --- a/.gitignore +++ b/.gitignore @@ -174,4 +174,5 @@ cython_debug/ .pypirc #Project specific -output/ \ No newline at end of file +output/ +.DS_Store diff --git a/comparison_algs_src/BioHEL/.gitignore b/comparison_algs_src/BioHEL/.gitignore deleted file mode 100644 index 0ee6b91..0000000 --- a/comparison_algs_src/BioHEL/.gitignore +++ /dev/null @@ -1,45 +0,0 @@ -/.depend -/BioHEL-original.config -/BioHEL-original.creator -/BioHEL-original.files -/BioHEL-original.includes -/JString.o -/agentPerformance.o -/agentPerformanceTraining.o -/attributesInfo.o -/classifierFitness.o -/classifier_gabil.o -/classifier_hyperrect.o -/classifier_hyperrect_list.o -/classifier_hyperrect_list_discrete.o -/classifier_hyperrect_list_real.o -/classifier_hyperrect_sse.o -/classifier_rotated_hyperrect.o -/factory.o -/ga.o -/instance.o -/instanceSet.o -/lex.yy.o -/main.o -/mtwist.o -/populationWrapper.o -/random.o -/test1.conf -/timeManagement.o -/timerCrossover.o -/timerEvolutionStats.o -/timerGlobals.o -/timerHierar.o -/timerMDL.o -/timerMutation.o -/timerRealKR.o -/timerSymbolicKR.o -/timersManagement.o -/utils.o -/windowingGWS.o -/windowingILAS.o -/*.creator.user -/BioHEL-local.config -/BioHEL-local.creator -/BioHEL-local.files -/BioHEL-local.includes diff --git a/comparison_algs_src/BioHEL/JHashtable.h b/comparison_algs_src/BioHEL/JHashtable.h deleted file mode 100644 index cbde1a3..0000000 --- a/comparison_algs_src/BioHEL/JHashtable.h +++ /dev/null @@ -1,371 +0,0 @@ -/* - This library was downloaded from: http://www.mike95.com - - This library is copyright. It may freely be used for personal purposes - if the restriction listed below is adhered to. - Author: Michael Olivero - Email: mike95@mike95.com - - //=============================== - //Start of Restriction Definition - //=============================== - Anyone can have full use of the library provided they keep this complete comment - with the source. Also I would like to ask if any changes are made to the - code for efficiency reasons, please let me know so I may look into your change and - likewise incorporate it into library. If a suggestion makes it into the library, - your credits will be added to this information. - - Authors of Computer related books are welcome to include this source code as part - of their publishing, provided credit the Author and make note of where the source - code was obtained from: http://www.mike95.com - //============================= - //End of Restriction Definition - //============================= - - Description: - Visit http://www.mike95.com/c_plusplus/classes/JHashtable/ - - This class is a based on the Java JHashtable class and as such contains all the public - member functions of it's Java equivalent. Unlike Java, typecasts are not necessary - since C++ allows template enstatiation of types at compile time. - - Note: Since java has hashItem() as a member of the base Object class, all - Java classes are inheritly hashable. Since the template parameter types do - not necessarily have to have a built in hashing function, the user of the class - must specify a hash function by calling setHashFunction() passing a pointer - to the hash function. - - The has function must be declared as the following: - - UINT function( const KeyType& ); - - Where: - function = any name you choose to use for the function name - KeyType = the type used for the key in the construction of the JHashtable object. - - Example: - UINT myHash( const int& ) - { - //your hashing code here for a key of type int. - } - - - //The following people have contributed to the solution - //of bugs or additional features in this library - //===================================================== - //Jeremy Friesner, email: jaf@chem.ucsd.edu - //Roxana Arama, email:roxanaa@tlc.ro - -*/ -#include "M95_types.h" -#include "JVector.h" - -template -class JHashtable -{ -public: - JHashtable( UINT initialCapacity = 101, float loadFactor = 0.5f ); - virtual ~JHashtable(); - - //Inspectors - //========== - UINT size() const { return m_count; } - bool isEmpty() const { return m_count == 0; } - bool contains( const ObjType& value ) const; - bool containsKey( const KeyType& key ) const; - const ObjType& get( const KeyType& key ); - JVector keys(); - - - //Modifiers - //========= - void rehash(); - ObjType put( const KeyType& key, const ObjType& value ); - ObjType remove( const KeyType& key ); - void clear(); - - //C++ specific user hash function - void setHashFunction( UINT(*func)(const KeyType& key) ) { UserHash = func; } - -private: - //type for Entries - struct JHashtableEntry - { - UINT hash; - KeyType key; - ObjType value; - JHashtableEntry* next; - }; - - //Member variables - UINT m_count; //the size of the elements in the hashtable - UINT m_tableSize; //the size of the table. - UINT m_threshold; - float m_loadFactor; - JHashtableEntry** m_table; - - - //Helper functions - UINT nextPrime( UINT start ); - UINT (*UserHash)( const KeyType& key ); - - ObjType NULL_ITEM; //used for returns of not found - -}; - - -//=============================================================== -//Implementation of constructor, destructor, and member functions -//Necessary location for appropriate template enstantiation. -//=============================================================== -template -JHashtable::JHashtable( UINT initialCapacity, float loadFactor ) -{ - if ( loadFactor <= 0.0 ) - { - cerr << "Bad Argument for loadFactor" << endl; - exit(1); - } - - m_count = 0; - m_tableSize = initialCapacity; - m_loadFactor = loadFactor; - m_threshold = (UINT)(initialCapacity * loadFactor); - - //initialize and set to null - //========================== - m_table = new JHashtableEntry*[m_tableSize]; - for( UINT i = 0; i < m_tableSize; i++ ) - m_table[i] = NULL; - - //nullify the user hash function pointer - UserHash = NULL; -} - -template -JHashtable::~JHashtable( ) -{ - clear(); - delete [] m_table; -} - -template -bool -JHashtable::contains( const ObjType& value ) const -{ - JHashtableEntry** tab = m_table; - for( UINT i = 0; i < m_tableSize; i++ ) - { - for( JHashtableEntry* e = tab[i]; e != NULL; e = e->next ) - { - if ( e->value == value ) - return true; - } - } - - return false; -} - -template -bool -JHashtable::containsKey( const KeyType& key ) const -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - - UINT index = hash % m_tableSize; - - for( JHashtableEntry* e = tab[index]; e != NULL; e = e->next ) - { - if ( e->hash == hash && e->key == key ) - return true; - } - - return false; -} - -template -const ObjType& -JHashtable::get( const KeyType& key ) -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - UINT index = hash % m_tableSize; - - for( JHashtableEntry* e = tab[index]; e != NULL; e = e->next ) - { - if ( e->hash == hash && e->key == key ) - return e->value; - } - - return NULL_ITEM; //if not found -} - -template -void -JHashtable::rehash() -{ - UINT oldTableSize = m_tableSize; - JHashtableEntry** oldTable = m_table; - - UINT newTableSize = nextPrime( 2 * oldTableSize ); - JHashtableEntry** newTable = new JHashtableEntry*[newTableSize]; - UINT i; - for( i = 0; i < newTableSize; i++ ) - newTable[i] = NULL; - - m_threshold = (UINT)(newTableSize * m_loadFactor); - m_table = newTable; - - //copy all the entries from the old to the new table - for( i = 0; i < oldTableSize; i++ ) - { - for( JHashtableEntry* old = oldTable[i]; old != NULL; ) - { - JHashtableEntry* e = old; - old = old->next; - - UINT index = e->hash % newTableSize; - e->next = newTable[index]; - newTable[index] = e; - } - } - - m_tableSize = newTableSize; - - delete [] oldTable; -} - -template -ObjType -JHashtable::put( const KeyType& key, const ObjType& value ) -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - UINT index = hash % m_tableSize; - - //Makes sure the key is not already in the hashtable - //replace item if found - JHashtableEntry* e; - for( e = tab[index]; e != NULL; e = e->next ) - { - if ( (e->hash == hash) && e->key == key ) - { - ObjType old = e->value; - e->value = value; - return old; - } - } - - //Rehash the table if the threshold is exceeded - if ( m_count >= m_threshold ) - { - rehash(); - return put(key, value); - } - - //Creates the new entry here - e = new JHashtableEntry(); - e->hash = hash; - e->key = key; - e->value = value; - e->next = tab[index]; - tab[index] = e; - m_count++; - - return NULL_ITEM; -} - -template -ObjType -JHashtable::remove( const KeyType& key ) -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - UINT index = hash % m_tableSize; - - for( JHashtableEntry* e = tab[index], *prev = NULL; e != NULL; prev = e, e = e->next) - { - if ( e->hash == hash && e->key == key ) - { - if ( prev != NULL ) - prev->next = e->next; - else - tab[index] = tab[index]->next; - - ObjType theReturn = e->value; - delete e; - m_count--; //decrement counter - return theReturn; - } - } - - return NULL_ITEM; -} - -template -void -JHashtable::clear() -{ - JHashtableEntry** tab = m_table; - - for(UINT i = 0; i < m_tableSize; i++ ) - { - JHashtableEntry* e = tab[i]; - while( e != NULL ) - { - JHashtableEntry* tmp = e; - e = e->next; - delete tmp; - } - - tab[i] = NULL; - } - - //reset the counter - m_count = 0; -} - -template -UINT -JHashtable::nextPrime( UINT start ) -{ - if( start % 2 == 0 ) - start++; - - UINT i; - - for( ; ; start += 2 ) - { - for( i = 3; i * i <= start; i += 2 ) - if( start % i == 0 ) - break; - - if( i * i > start ) - return start; - } -} - -template -JVector -JHashtable::keys() -{ - JVector results; - - JHashtableEntry** tab = m_table; - - for(UINT i = 0; i < m_tableSize; i++ ) - { - JHashtableEntry* e = tab[i]; - while( e != NULL ) - { - results.addElement(e->key); - e = e->next; - } - } - - return results; -} - - - diff --git a/comparison_algs_src/BioHEL/JString.cpp b/comparison_algs_src/BioHEL/JString.cpp deleted file mode 100644 index 13b1eed..0000000 --- a/comparison_algs_src/BioHEL/JString.cpp +++ /dev/null @@ -1,421 +0,0 @@ - /******************************************* - Downloaded from: http://www.mike95.com - Copyright (c)1997 Michael Olivero - All Rights Reserved - ********************************************/ - #include "JString.h" - #include - #include - #include - #include - -//============ - //Constructors - //============ - JString::JString( const char *Value ) - { - if ( Value == NULL ) - Value = ""; - - GetBuffer( Length = strlen( Value ) ); - strcpy( Buffer, Value ); - } - -JString::JString( const JString &Value ) - { - GetBuffer( Length = Value.Length ); - strcpy( Buffer, Value.Buffer ); - } - -char - JString::charAt( UINT loc ) const - { - return operator[]( loc ); - } - -int - JString::compareTo( const JString &s2 ) const - { - return strcmp( Buffer, s2.Buffer ); - } - -const JString & - JString::concat( const JString &s2 ) - { - return (*this) += s2; - } - -const JString & - JString::operator=( const JString &Rhs ) - { - if ( this == &Rhs ) - return *this; - - if ( Rhs.Length > Length ) - { - delete [] Buffer; - GetBuffer( Rhs.Length ); - } - - Length = Rhs.Length; - strcpy( Buffer, Rhs.Buffer ); - - return *this; - } - -const JString & - JString::operator+=( const char aChar ) - { - if ( Length == BufferLen ) - Double(); - - Buffer[ Length++ ] = aChar; - Buffer[ Length ] = '\0'; - - return *this; - } - -const JString & - JString::operator+=( const JString &other ) - { - Length += other.Length; - if ( Length > BufferLen ) - { - char *temp = Buffer; - GetBuffer( Length ); - strcpy( Buffer, temp ); - delete [] temp; - } - strcat( Buffer, other.Buffer ); - - return *this; - } - - - int - JString::operator==( const JString &Rhs ) const - { - return ( Length == Rhs.Length && strcmp( Buffer, Rhs.Buffer ) == 0 ); - } - -int - JString::operator!=( const JString &Rhs ) const - { - return ( Length != Rhs.length() || strcmp( Buffer, Rhs.cstr() ) != 0 ); - } - -int - JString::operator<( const JString &Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) < 0; - } - -int - JString::operator>( const JString &Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) > 0; - } - -int - JString::operator<=( const JString &Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) <= 0; - } - -int - JString::operator>=( const JString & Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) >= 0; - } - -char & - JString::operator[]( UINT Index ) - { - verifyIndex( Index ); - return Buffer[ Index ]; - } - -char - JString::operator[]( UINT Index ) const - { - verifyIndex( Index ); - return Buffer[ Index ]; - } - - - int - JString::endsWith( const JString &s2 ) const - { - if ( Length < s2.Length ) - return 0; - - return strcmp( &Buffer[ Length - s2.Length], s2.cstr() ) == 0; - } - -int - JString::equals( const JString &s2 ) const - { - return ( Length == s2.Length && strcmp( Buffer,s2.Buffer ) == 0 ); - } - - - int - JString::equalsIgnoreCase( const JString &s2 ) const - { - if ( this == &s2 ) - return 1; - else if ( Length != s2.Length ) - return 0; - - return strcmp(toLowerCase().cstr(), s2.toLowerCase().cstr()) == 0; - } - -void - JString::Format( const char* fmt, ... ) - { - va_list iterator; - va_start( iterator, fmt ); - - - va_end( iterator ); - } - - - void - JString::replace( char findChar, char replaceChar ) - { - char* temp = Buffer; - while( temp = strchr( temp, findChar ) ) - *temp = replaceChar; - } - void - JString::replace( const JString& match, const JString& replace ) - { - JString temp = Buffer, newString; - - int loc; - while ( (loc = temp.indexOf( match )) != -1 ) - { - newString += temp.substring( 0, loc ); - newString += replace; - temp = temp.substring( loc + match.Length ); - } - - newString += temp; //get rest of string; - - *this = newString; - } - -int - JString::indexOf( char temp ) const - { - return indexOf( temp, 0 ); - } - -int - JString::indexOf( char ch, UINT fromIndex ) const - { - if ( fromIndex >= Length ) - return -1; - - const char* temp = strchr( &Buffer[fromIndex], ch ); - if ( temp == NULL ) - return -1; - - return temp - Buffer; - } - -int - JString::indexOf( const JString &s2 ) const - { - return indexOf( s2, 0 ); - } - - - int - JString::indexOf( const JString &s2, UINT fromIndex ) const - { - if ( fromIndex >= Length ) - return -1; - - const char *theFind = strstr( &Buffer[ fromIndex ], s2.cstr() ); - - if ( theFind == NULL ) - return -1; - - return theFind - Buffer; //pointer substraction - } - - - -int - JString::lastIndexOf( char theChar ) const - { - return lastIndexOf( theChar, Length - 1 ); - } - -int - JString::lastIndexOf( char ch, UINT fromIndex ) const - { - if ( fromIndex >= Length ) - return -1; - - char tempchar = Buffer[fromIndex + 1]; - Buffer[fromIndex + 1] = '\0'; - char* temp = strrchr( Buffer, ch ); - Buffer[fromIndex + 1] = tempchar; - - if ( temp == NULL ) - return -1; - - return temp - Buffer; - } - -int - JString::lastIndexOf( const JString &s2 ) const - { - return lastIndexOf( s2, Length - s2.Length ); - } - -int - JString::lastIndexOf( const JString &s2, UINT fromIndex ) const - { - //============================= - //avoid check for empty strings - //============================= - if ( s2.Length == 0 || s2.Length - 1 > fromIndex || - fromIndex >= Length ) - return -1; - - //======================== - //matching first character - //======================== - char temp = s2[ 0 ]; - - for ( int i = fromIndex; i >= 0; i-- ) - { - if ( Buffer[ i ] == temp && - (*this).substring( i, i + s2.Length ).equals( s2 ) ) - return i; - } - return -1; - } - -int - JString::startsWith( const JString &s2 ) const - { - if ( Length < s2.Length ) - return 0; - - return startsWith( s2, 0 ); - } - -int - JString::startsWith( const JString &s2, UINT offset ) const - { - if ( offset > Length - s2.Length ) - return 0; - - return strncmp( &Buffer[offset], s2.cstr(), s2.Length ) == 0; - } - -JString - JString::substring( UINT left ) const - { - return substring( left, Length ); - } - -JString - JString::substring( UINT left, UINT right ) const - { - if ( left > right ) - { - int temp = right; - right = left; - left = temp; - } - - if ( right > Length ) - { - cerr << "Index Out Of Bounds Exception w/ substring(" << left - << "," << right << "]:\n" << Buffer << endl; - exit(1); - } - - char temp = Buffer[ right ]; //save the replaced character - Buffer[ right ] = '\0'; //nullify the the character - - JString outPut = ( Buffer + left ); //Pointer arithmetic - - Buffer[ right ] = temp; //restore character - - return outPut; - } - -JString - JString::toLowerCase( ) const - { - JString temp = Buffer; - - for ( UINT i = 0; i < Length; i++ ) - temp.Buffer[ i ] = tolower( temp.Buffer[ i ] ); - - return temp; - } - -JString - JString::toUpperCase() const - { - JString temp = Buffer; - - for ( UINT i = 0; i < Length; i++ ) - temp.Buffer[ i ] = toupper( temp.Buffer[ i ] ); - - return temp; - } - -JString - JString::trim() const - { - JString temp = Buffer; - UINT i,j; - - for ( i = 0; i < Length; i++ ) - { - if ( !isspace(Buffer[i]) ) - break; - } - - for ( j = temp.Length - 1; j > i; j-- ) - { - if ( !isspace(Buffer[j]) ) - break; - } - - return temp.substring( i, j + 1); - } - -istream & - operator >> ( istream &In, JString &Value ) - { - static char Str[ 2048 ]; // allocate max size of 2048 characters - - In >> Str; - - Value = Str; // assign to reference JString - - return In; // Return istream - } - -ostream & - operator << ( ostream &Out, const JString &Value ) - { - Out << Value.Buffer; - return Out; - } - - - - - - diff --git a/comparison_algs_src/BioHEL/JString.h b/comparison_algs_src/BioHEL/JString.h deleted file mode 100644 index 50400f8..0000000 --- a/comparison_algs_src/BioHEL/JString.h +++ /dev/null @@ -1,173 +0,0 @@ - /* - This library was downloaded from: http://www.mike95.com - - This library is copyright. It may freely be used for personal purposes - if the restriction listed below is adhered to. - Author: Michael Olivero - Email: mike95@mike95.com - - //=============================== - //Start of Restriction Definition - //=============================== - Anyone can have full use of the library provided they keep this complete comment - with the source. Also I would like to ask if any changes are made to the - code for efficiency reasons, please let me know so I may look into your change and - likewise incorporate it into library. If a suggestion makes it into the library, - your credits will be added to this information. - - Authors of Computer related books are welcome to include this source code as part - of their publishing, provided credit the Author and make note of where the source - code was obtained from: http://www.mike95.com - //============================= - //End of Restriction Definition - //============================= - - - Description: - Visit http://www.mike95.com/c_plusplus/classes/JString/ - - This library avoids the need to use pointers to char or manual - memory manipulation while working with Strings. This class has been - based on the Java String class, and thus has all of the Java public functionality - with a few extras [replace()] needed for useful functionality. - - //The following people have contributed to the solution - //of bugs or improvements in this library - //===================================================== - //Carl Pupa, [pumacat@erols.com] - //Thomas Watson, [w@tson.dk] - //Subbiah, Venkat [vsubbiah@corvis.com] - //Oren Tirosh [mailto:oren@hishome.net] -*/ - - #ifndef __JString - #define __JString - - #include - #include - #include - #include "M95_types.h" - -using namespace std; - - class JString { - public: - // Constructor(s) / Destructors - //----------------------------- - JString( const char *Value = "" ); - JString( const JString &Value ); - virtual ~JString() { delete [] Buffer; } - - //Operators - //---------- - const JString & operator = ( const JString &Rhs ); - const JString & operator +=( const JString &Rhs ); - const JString & operator +=( const char ); - int operator ==( const JString &Rhs ) const; - int operator !=( const JString &Rhs ) const; - int operator < ( const JString &Rhs ) const; - int operator > ( const JString &Rhs ) const; - int operator <=( const JString &Rhs ) const; - int operator >=( const JString &Rhs ) const; - char operator []( UINT Index ) const; - char& operator []( UINT Index ); - - //Methods - //------- - //INSPECTORS - //========== - char charAt( UINT index ) const; - int compareTo( const JString &anotherString ) const; - const char* cstr( ) const { return Buffer; } - int endsWith( const JString &suffix ) const; - int equals( const JString &anObject ) const; - int equalsIgnoreCase( const JString &anotherString ) const; - int indexOf( char ch ) const; - int indexOf( char ch, UINT fromIndex ) const; - int indexOf( const JString &str ) const; - int indexOf( const JString &str, UINT fromIndex ) const; - int lastIndexOf( char ch ) const; - int lastIndexOf( char ch, UINT fromIndex ) const; - int lastIndexOf( const JString &str ) const; - int lastIndexOf( const JString &str, UINT fromIndex ) const; - UINT length( ) const { return Length; } - int startsWith( const JString &prefix ) const; - int startsWith( const JString &prefix, UINT toffset ) const; - JString substring( UINT beginIndex ) const; - JString substring( UINT beginIndex, UINT endIndex ) const; - JString toLowerCase( ) const; - JString toUpperCase( ) const; - JString trim( ) const; - - //Methods - //------- - //MODIFIERS - //========= - const JString& concat( const JString &str ); - void replace( char oldChar, char newChar ); - void replace( const JString& match, const JString& replace ); - void Format( const char* fmt, ...); - - // Friends - //-------- - friend JString operator + ( JString Lhs, const JString &Rhs ); - friend ostream& operator<< ( ostream &Out, const JString &Value ); - friend istream& operator>> ( istream &In, JString &Value ); - -protected: - //Members - //------- - char *Buffer; // Stores the chars - UINT BufferLen; // Max strlen for Buffer - UINT Length; // Length of string - - void GetBuffer(UINT MaxStrLen); - void Double( ); - void verifyIndex( UINT number ) const; - }; - -//Class Functions - //=============== - inline void - JString::GetBuffer(UINT MaxStrLen) - { - BufferLen = MaxStrLen; - Buffer = new char[BufferLen + 1]; - } - -inline void - JString::Double( ) - { - char *temp = Buffer; - GetBuffer( ++BufferLen * 2 ); - strcpy( Buffer, temp ); - delete [] temp; - } - -inline void - JString::verifyIndex( UINT index ) const - { - if ( index >= Length ) - { - //throw "Index Out Of Bounds Exception"; - cerr << "Index Out Of Bounds Exception at [" - << index << "] in:\n" << Buffer << endl; - exit(1); - } - } - -//Friend Functions - //================ - inline JString - operator+( JString Lhs, const JString &Rhs ) -{ - return Lhs += Rhs; - } - -#endif - - - - - - diff --git a/comparison_algs_src/BioHEL/JVector.h b/comparison_algs_src/BioHEL/JVector.h deleted file mode 100644 index a6ce0e2..0000000 --- a/comparison_algs_src/BioHEL/JVector.h +++ /dev/null @@ -1,441 +0,0 @@ -/* - This library was downloaded from: http://www.mike95.com - - This library is copyright. It may freely be used for personal purposes - if the restriction listed below is adhered to. - Author: Michael Olivero - Email: mike95@mike95.com - - //=============================== - //Start of Restriction Definition - //=============================== - Anyone can have full use of the library provided they keep this complete comment - with the source. Also I would like to ask if any changes are made to the - code for efficiency reasons, please let me know so I may look into your change and - likewise incorporate it into library. If a suggestion makes it into the library, - your credits will be added to this information. - - Authors of Computer related books are welcome to include this source code as part - of their publishing, provided credit the Author and make note of where the source - code was obtained from: http://www.mike95.com - //============================= - //End of Restriction Definition - //============================= - - Description: - Visit http://www.mike95.com/c_plusplus/classes/JVector/ - - Standard collection class. It's public member functions - are identical to the Java Vector public member functions (except for any Java specific - Java related functions). - - //The following people have contributed to the solution - //of bugs or additional features in this library - //===================================================== - //Carl Pupa, email: pumacat@erols.com - //Adam Doppelt, email: amd@gurge.com -*/ - -#include -#include -#ifndef _JVECTOR_H_ -#define _JVECTOR_H_ - -#include "M95_types.h" - -using namespace std; - -template -class JVector -{ -public: - JVector( UINT initialCapacity = 100, UINT capacityIncrement = 100 ); - JVector( const JVector& rhv ); - virtual ~JVector(); - - //Inspectors (additional exception throwing inspectors below) - //=========================================================== - UINT capacity() const; - bool contains( const Etype &elem ) const; - const Etype & firstElement() const; - int indexOf( const Etype &elem ) const; - bool isEmpty() const; - const Etype & lastElement() const; - int lastIndexOf( const Etype &elem ) const; - UINT size() const; - void copyInto( Etype* array ) const; - - //Modifiers (additional exception throwing inspectors below) - //========================================================== - void addElement( const Etype &obj ); - void ensureCapacity( UINT minCapacity ); - void removeAllElements(); - bool removeElement( const Etype &obj ); - void setSize( UINT newSize ); - void trimToSize(); - - //Exceptions are thrown at run time with the following functions if - //the index parameter is not within a valid range. If the data - //is uncertain (i.e. user inputed), then you should wrap these function - //calls with the try/catch blocks and handle them appropriately. - //=============================================== - Etype & elementAt( UINT index ) const; //inspector - void insertElementAt( const Etype &obj, UINT index ); //modifier - void removeElementAt( UINT index ); //modifier - void setElementAt( const Etype &obj, UINT index ); //modifier - - - //C++ specific operations - //======================= - const Etype & operator[]( UINT index ) const; - Etype & operator[]( UINT index ); - bool operator ==(const JVector& rhv); - -protected: - int min( UINT left, UINT right ) const; - void verifyIndex( UINT index ) const; - UINT m_size; - UINT m_capacity; - UINT m_increment; - Etype** m_pData; -}; - -//=============================================================== -//Implementation of constructor, destructor, and member functions -//Necessary location for appropriate template enstantiation. -//=============================================================== -template -JVector::JVector( UINT initialCapacity, UINT capacityIncrement ) -{ - m_size = 0; - m_capacity = initialCapacity; - m_pData = new Etype*[ m_capacity ]; - m_increment = capacityIncrement; -} - -template -JVector::JVector( const JVector& rhv ) -{ - m_size = rhv.m_size; - m_capacity = rhv.m_capacity; - m_pData = new Etype*[ m_capacity ]; - m_increment = rhv.m_increment; - - for( UINT i = 0; i < m_size; i++ ) - { - m_pData[i] = new Etype( *(rhv.m_pData[i]) ); - } -} - -template -JVector::~JVector() -{ - removeAllElements(); - delete [] m_pData; -} - -template -UINT -JVector::capacity() const -{ - return m_capacity; -} - -template -bool -JVector::contains( const Etype &elem ) const -{ - for ( UINT i = 0; i < m_size; i++ ) - { - if ( *m_pData[i] == elem ) - return true; - } - - return false; -} - -template -void -JVector::copyInto( Etype* array ) const -{ - for( UINT i = 0; i < m_size; i++ ) - array[i] = *m_pData[i]; -} - - -template -Etype & -JVector::elementAt( UINT index ) const -{ - verifyIndex( index ); - return *m_pData[index]; -} - -template -const Etype & -JVector::firstElement() const -{ - if ( m_size == 0 ) - { - //throw "Empty JVector Exception"; - cerr << "firstElement() called on empty JVector" << endl; - exit(1); - } - - return *m_pData[ 0 ]; -} - -template -int -JVector::indexOf( const Etype &elem ) const -{ - for ( UINT i = 0; i < m_size; i++ ) - { - if ( *m_pData[ i ] == elem ) - return i; - } - - return -1; -} - -template -bool -JVector::isEmpty() const -{ - return m_size == 0; -} - -template -const Etype & -JVector::lastElement() const -{ - if ( m_size == 0 ) - { - //throw "Empty JVector Exception" - cerr << "lastElement() called on empty JVector" << endl; - exit(1); - } - - return *m_pData[ m_size - 1 ]; -} - -template -int -JVector::lastIndexOf( const Etype &elem ) const -{ - //check for empty vector - if ( m_size == 0 ) - return -1; - - UINT i = m_size; - - do - { - i -= 1; - if ( *m_pData[i] == elem ) - return i; - - } - while ( i != 0 ); - - return -1; -} - -template -UINT -JVector::size() const -{ - return m_size; -} - -template -void -JVector::addElement( const Etype &obj ) -{ - if ( m_size == m_capacity ) - ensureCapacity( m_capacity + m_increment ); - - m_pData[ m_size++ ] = new Etype( obj ); -} - -template -void -JVector::ensureCapacity( UINT minCapacity ) -{ - if ( minCapacity > m_capacity ) - { - UINT i; - m_capacity = minCapacity; - - Etype** temp = new Etype*[ m_capacity ]; - - //copy all the elements over upto newsize - for ( i = 0; i < m_size; i++ ) - temp[i] = m_pData[i]; - - delete [] m_pData; - m_pData = temp; - } -} - -template -void -JVector::insertElementAt( const Etype &obj, UINT index ) -{ - verifyIndex( index ); //this will throw if true - - if ( m_size == m_capacity ) - ensureCapacity( m_capacity + m_increment); - - Etype* newItem = new Etype(obj); //pointer to new item - Etype* tmp; //temp to hold item to be moved over. - - for( UINT i = index; i <= m_size; i++ ) - { - tmp = m_pData[i]; - m_pData[i] = newItem; - - if ( i != m_size ) - newItem = tmp; - else - break; - } - - m_size++; -} - -template -void -JVector::removeAllElements() -{ - //avoid memory leak - for ( UINT i = 0; i < m_size; i++ ) - delete m_pData[i]; - - m_size = 0; -} - -template -bool -JVector::removeElement( const Etype &obj ) -{ - for ( UINT i = 0; i < m_size; i++ ) - { - if ( *m_pData[i] == obj ) - { - removeElementAt( i ); - return true; - } - } - - return false; -} - -template -void -JVector::removeElementAt( UINT index ) -{ - verifyIndex( index ); - - delete m_pData[ index ]; - - for ( UINT i = index+1; i < m_size; i++ ) - m_pData[ i - 1 ] = m_pData[ i ]; - - m_size--; -} - -template -void -JVector::setElementAt( const Etype &obj, UINT index ) -{ - verifyIndex( index ); - - *m_pData[ index ] = obj; -} - -template -void -JVector::setSize( UINT newSize ) -{ - if ( newSize > m_capacity ) - ensureCapacity( newSize ); - else if ( newSize < m_size ) - { - for( UINT i = newSize; i < m_size; i++ ) - delete m_pData[i]; - - m_size = newSize; - } -} - -template -void -JVector::trimToSize() -{ - if ( m_size != m_capacity ) - { - Etype** temp = new Etype*[ m_size ]; - UINT i; - - for ( i = 0; i < m_size; i++ ) - temp[i] = m_pData[i]; - - delete [] m_pData; - - m_pData = temp; - m_capacity = m_size; - } -} - -template -int -JVector::min( UINT left, UINT right ) const -{ - return left < right ? left : right; -} - -template -void -JVector::verifyIndex( UINT index ) const -{ - if ( index >= m_capacity ) - { - //throw "Index Out Of Bounds"; - cerr << "Index Out Of Bounds"; - exit(1); - } -} - -template -bool -JVector::operator==( const JVector& rhv) -{ - int i; - - if(m_size!=rhv.m_size) return false; - - for(i=0;i -const Etype & -JVector::operator[]( UINT index ) const -{ - return elementAt( index ); -} - -template -Etype & -JVector::operator[]( UINT index ) -{ - verifyIndex( index ); - return *m_pData[ index ]; -} - -#endif diff --git a/comparison_algs_src/BioHEL/M95_types.h b/comparison_algs_src/BioHEL/M95_types.h deleted file mode 100644 index 85d7d23..0000000 --- a/comparison_algs_src/BioHEL/M95_types.h +++ /dev/null @@ -1,16 +0,0 @@ -#ifndef TYPES_H -#define TYPES_H - -typedef unsigned int UINT; - -#ifndef _WIN32 -#define bool int -#define false 0 -#define true 1 -#endif - - -#endif - - - diff --git a/comparison_algs_src/BioHEL/Makefile b/comparison_algs_src/BioHEL/Makefile deleted file mode 100644 index 733e8ca..0000000 --- a/comparison_algs_src/BioHEL/Makefile +++ /dev/null @@ -1,92 +0,0 @@ -# ----------------------------- -# BioHEL (CPU-only) Makefile -# ----------------------------- - -EXEC := biohel - -CXX := g++ -LEX := flex - -# Adjust standard if needed (c++11/c++14/c++17) to match your codebase -CXXFLAGS = -O3 -fPIC -std=gnu++03 -CXXFLAGS += -fpermissive -CXXFLAGS += -Wno-narrowing -Wno-deprecated -Wno-write-strings -# Add include paths here if you have local headers in non-default dirs: -# CXXFLAGS += -Iinclude - - -LDFLAGS := -LDLIBS := - -# ----------------------------- -# Objects (CPU-only) -# ----------------------------- -OBJS := random.o classifier_gabil.o classifierFitness.o instanceSet.o \ - lex.yy.o instance.o timeManagement.o JString.o populationWrapper.o \ - timersManagement.o ga.o factory.o attributesInfo.o timerHierar.o \ - timerMDL.o timerSymbolicKR.o timerRealKR.o agentPerformance.o utils.o \ - timerGlobals.o timerMutation.o timerEvolutionStats.o windowingILAS.o \ - timerCrossover.o classifier_hyperrect.o mtwist.o \ - agentPerformanceTraining.o classifier_hyperrect_sse.o \ - classifier_rotated_hyperrect.o classifier_hyperrect_list.o windowingGWS.o \ - classifier_hyperrect_list_real.o classifier_hyperrect_list_discrete.o \ - main.o - -# ----------------------------- -# Default target -# ----------------------------- -.PHONY: all -all: $(EXEC) - -# ----------------------------- -# Link -# ----------------------------- -$(EXEC): $(OBJS) - $(CXX) $(LDFLAGS) -o $@ $(OBJS) $(LDLIBS) - -# ----------------------------- -# Compile rules -# ----------------------------- -%.o: %.cpp - $(CXX) $(CXXFLAGS) -c $< -o $@ - -%.o: %.c - $(CXX) $(CXXFLAGS) -c $< -o $@ - -# ----------------------------- -# Flex rule (regenerates lex.yy.cpp and compiles it) -# Keep dependencies explicit to mimic your original Makefile behavior. -# ----------------------------- -lex.yy.o: lex.yy.cpp configManagement.h dictionary.h configCodes.h \ - JVector.h M95_types.h attributesInfo.h JString.h instance.h random.h \ - mt19937ar-cok.h lex_conf.l - $(LEX) -i -olex.yy.cpp lex_conf.l - $(CXX) $(CXXFLAGS) -c lex.yy.cpp -o lex.yy.o - -# Ensure lex.yy.cpp exists (optional convenience) -lex.yy.cpp: lex_conf.l - $(LEX) -i -olex.yy.cpp lex_conf.l - -# ----------------------------- -# Dependency generation (optional) -# ----------------------------- -.PHONY: dep -dep: - $(CXX) -MM $(CXXFLAGS) *.cpp > .depend - --include .depend - -# ----------------------------- -# Install (optional) -# ----------------------------- -.PHONY: install -install: $(EXEC) - cp $(EXEC) $(HOME)/bin - -# ----------------------------- -# Clean -# ----------------------------- -.PHONY: clean -clean: - rm -f *.o core $(EXEC) lex.yy.cpp .depend -# ----------------------------- \ No newline at end of file diff --git a/comparison_algs_src/BioHEL/MakefileOld b/comparison_algs_src/BioHEL/MakefileOld deleted file mode 100644 index fd4d39c..0000000 --- a/comparison_algs_src/BioHEL/MakefileOld +++ /dev/null @@ -1,79 +0,0 @@ -SUFFIX= -EXEC=biohel biohelcuda - - -OBJS=random.o classifier_gabil.o classifierFitness.o instanceSet.o \ - lex.yy.o instance.o timeManagement.o JString.o populationWrapper.o \ - timersManagement.o ga.o factory.o attributesInfo.o timerHierar.o \ - timerMDL.o timerSymbolicKR.o timerRealKR.o agentPerformance.o utils.o \ - timerGlobals.o timerMutation.o timerEvolutionStats.o windowingILAS.o \ - timerCrossover.o classifier_hyperrect.o mtwist.o \ - agentPerformanceTraining.o classifier_hyperrect_sse.o \ - classifier_rotated_hyperrect.o classifier_hyperrect_list.o windowingGWS.o \ - classifier_hyperrect_list_real.o classifier_hyperrect_list_discrete.o - - -CUDA_OBJS=functions.o kernels.cu.o random.o classifier_gabil.o classifierFitness.o instanceSet.o \ - lex.yy.o instance.o timeManagement.o JString.o populationWrapper.o \ - timersManagement.o ga.o factory.o attributesInfo.o timerHierar.o \ - timerMDL.o timerSymbolicKR.o timerRealKR.o agentPerformance.o utils.o \ - timerGlobals.o timerMutation.o timerEvolutionStats.o windowingILAS.o \ - timerCrossover.o classifier_hyperrect.o mtwist.o \ - agentPerformanceTraining.o classifier_hyperrect_sse.o \ - classifier_rotated_hyperrect.o classifier_hyperrect_list.o windowingGWS.o \ - classifier_hyperrect_list_real.o classifier_hyperrect_list_discrete.o - - -#CFLAGS=-O3 -m64 -march=opteron -D__CUDA_COMPILED__=1 -#CFLAGS=-O3 -march=athlon-mp -D__CUDA_COMPILED__=1 -CFLAGS=-O3 -#-D__CUDA_COMPILED__=0 -#CFLAGS=-O3 -march=pentium4 -D__CUDA_COMPILED__=1 - -CUDA_SDK_PATH=/usr/local/cuda/NVIDIA_GPU_Computing_SDK/CUDALibraries -CUDA_PATH=/usr/local/cuda - -LDFLAGS=-fPIC -END_LDFLAGS=-L${CUDA_PATH}/lib64 -L${CUDA_SDK_PATH}/lib -L${CUDA_SDK_PATH}/common/lib/linux -lcuda -lcudart -CC=g++ -LEX=flex -NVCC=${CUDA_PATH}/bin/nvcc -CUFLAGS=--ptxas-options=-v --compiler-options -I${CUDA_PATH}/include -I${CUDA_SDK_PATH}/common/inc -DUNIX - -default: biohel - -cuda: cudabuild biohelcuda - -biohel: ${OBJS} main.o - ${CC} ${LDFLAGS} ${OBJS} main.o -o biohel - -biohelcuda: ${CUDA_OBJS} main.o - ${CC} ${LDFLAGS} ${CUDA_OBJS} main.o -o biohelcuda ${END_LDFLAGS} - -cudabuild: - ${NVCC} ${CUFLAGS} -o kernels.cu.o -c kernels.cu - - -install: ${EXEC} - cp ${EXEC} ${HOME}/bin - -dep: - ${CC} -MM ${CFLAGS} *.cpp > .depend - -.cpp.o: - ${CC} ${CFLAGS} -c $< - -.c.o: - ${CC} ${CFLAGS} -c $< - - -clean: - rm -f *.o core ${EXEC} - -lex.yy.o: lex.yy.cpp configManagement.h dictionary.h configCodes.h \ - JVector.h M95_types.h \ - attributesInfo.h JString.h instance.h random.h mt19937ar-cok.h lex_conf.l - ${LEX} -i -olex.yy.cpp lex_conf.l - ${CC} ${CFLAGS} -c lex.yy.cpp - -include .depend diff --git a/comparison_algs_src/BioHEL/agentPerformance.cpp b/comparison_algs_src/BioHEL/agentPerformance.cpp deleted file mode 100644 index da566cd..0000000 --- a/comparison_algs_src/BioHEL/agentPerformance.cpp +++ /dev/null @@ -1,171 +0,0 @@ -#include "agentPerformance.h" -#include "timerGlobals.h" -#include "timerHierar.h" -#include "timerMDL.h" -#include "classifier.h" -#include "messageBuffer.h" - -extern timerGlobals *tGlobals; -extern timerMDL *tMDL; -extern timerHierar *tHierar; -extern messageBuffer mb; - -agentPerformance::agentPerformance(int pNumClassifiers,int pNumClasses) -{ - numClasses=pNumClasses; - numClassifiers=pNumClassifiers; - - numInstancesOK = 0; - numInstancesKO = 0; - numInstancesNC = 0; - numInstancesTotal = 0; - aliveClassifiers=0; - - int i, j; - statisticsForEachClass = new int *[numClasses]; - statisticsConfusionMatrix = new int *[numClasses]; - for (i = 0; i < numClasses; i++) { - statisticsConfusionMatrix[i] = new int[numClasses]; - statisticsForEachClass[i] = new int[3]; - } - - - classifierActivated = new int[numClassifiers]; - classifierCorrect = new int[numClassifiers]; - classifierWrong = new int[numClassifiers]; - for (i = 0; i < numClassifiers; i++) { - classifierActivated[i] = 0; - classifierCorrect[i] = 0; - classifierWrong[i] = 0; - } - - for (i = 0; i < numClasses; i++) { - for (j = 0; j < numClasses; j++) - statisticsConfusionMatrix[i][j] = 0; - for (j = 0; j < 3; j++) - statisticsForEachClass[i][j] = 0; - } -} - -void agentPerformance::addPrediction(int realClass,int predictedClass - ,int usedClassifier) -{ - numInstancesTotal++; - if(usedClassifier!=-1) { - if(!classifierActivated[usedClassifier]) { - aliveClassifiers++; - } - classifierActivated[usedClassifier]++; - statisticsConfusionMatrix[realClass][predictedClass]++; - if (predictedClass == realClass) { - numInstancesOK++; - statisticsForEachClass[realClass][0]++; - classifierCorrect[usedClassifier]++; - } else { - classifierWrong[usedClassifier]++; - numInstancesKO++; - statisticsForEachClass[realClass][1]++; - } - } else { - numInstancesNC++; - statisticsForEachClass[realClass][2]++; - } -} - -void agentPerformance::dumpStatsBrief() -{ - int i,j; - - mb.printf("Accuracy : %f\n", numInstancesOK / numInstancesTotal); - for (i = 0; i < numClasses; i++) mb.printf("%d\t", i); - mb.printf("\n"); - for (i = 0; i < numClasses; i++) { - for (j = 0; j < numClasses; j++) - mb.printf("%d\t", statisticsConfusionMatrix[i][j]); - mb.printf("\n"); - } -} - -void agentPerformance::dumpStats2() -{ - int i; - for (i = 0; i < numClassifiers; i++) - mb.printf("Accuracy of rule %d:%f/%d\n", i, - (double)classifierCorrect[i]/(double)classifierActivated[i] - ,classifierActivated[i]); -} - - -void agentPerformance::dumpStats(const char *prefix) -{ - int i,j; - - mb.printf("%s accuracy : %f\n", prefix, - numInstancesOK / numInstancesTotal); - - mb.printf("%s error : %f\n", prefix, - numInstancesKO / numInstancesTotal); - mb.printf("%s not classified : %f\n", prefix, - numInstancesNC / numInstancesTotal); - mb.printf("%s For each class:\n", prefix); - for (i = 0; i < numClasses; i++) { - mb.printf("%d: accuracy : %d\n", i, statisticsForEachClass[i][0]); - mb.printf("%d: error : %d\n", i, statisticsForEachClass[i][1]); - mb.printf("%d: not classified : %d\n", i, - statisticsForEachClass[i][2]); - } - - mb.printf("%s Confusion Matrix. Row real class, Column predicted class\n" - , prefix); - for (i = 0; i < numClasses; i++) mb.printf("%d\t", i); - mb.printf("\n"); - for (i = 0; i < numClasses; i++) { - for (j = 0; j < numClasses; j++) - mb.printf("%d\t", statisticsConfusionMatrix[i][j]); - mb.printf("\n"); - } - - mb.printf("Performance of each classifier:\n"); - for (i = 0; i < numClassifiers; i++) - mb.printf("Classifier %d: %d/%d=%f%c\n", i, classifierCorrect[i], - classifierActivated[i], (double) classifierCorrect[i] / - (double) classifierActivated[i] * 100.0, '%'); -} - -agentPerformance::~agentPerformance() -{ - delete classifierActivated; - delete classifierCorrect; - delete classifierWrong; - - int i; - for (i = 0; i < numClasses; i++) { - delete statisticsConfusionMatrix[i]; - } - delete statisticsConfusionMatrix; - - for (i = 0; i < numClasses; i++) { - delete statisticsForEachClass[i]; - } - delete statisticsForEachClass; -} - -double agentPerformance::getAverageActivation() -{ - /*int num=numClassifiers; - int i; - double count=0; - - if(tGlobals->defaultClassPolicy!=DISABLED) num--; - for(i=0;i=3) count++; - } - //count/=(double)num; - - return count;*/ - double actDR=0; - if(tGlobals->defaultClassPolicy!=DISABLED) - actDR=classifierActivated[numClassifiers-1]; - return (numInstancesTotal-numInstancesNC-actDR)/numInstancesTotal; -} - diff --git a/comparison_algs_src/BioHEL/agentPerformance.h b/comparison_algs_src/BioHEL/agentPerformance.h deleted file mode 100644 index 6a65f68..0000000 --- a/comparison_algs_src/BioHEL/agentPerformance.h +++ /dev/null @@ -1,63 +0,0 @@ -#ifndef _AGENT_PERFORMANCE_H_ -#define _AGENT_PERFORMANCE_H_ - -class classifier; - -class agentPerformance { - int numClassifiers; - int numClasses; - - double numInstancesOK; - double numInstancesKO; - double numInstancesNC; - double numInstancesTotal; - int **statisticsForEachClass; - int **statisticsConfusionMatrix; - int *classifierActivated; - int *classifierCorrect; - int *classifierWrong; - int aliveClassifiers; - -public: - agentPerformance(int pNumClassifiers,int pNumClasses); - ~agentPerformance(); - void addPrediction(int realClass,int predictedClass,int usedClassifier); - inline double getAccuracy() { return numInstancesOK/numInstancesTotal; } - inline double getError(){return numInstancesKO/numInstancesTotal;} - inline double getNC(){return numInstancesNC/numInstancesTotal;} - inline int getNumError(){return (int)numInstancesKO;} - inline int getNumNC(){return (int)numInstancesNC;} - inline int getActivationsOfClassifier(int classifier) { - return classifierActivated[classifier]; - } - int getCorrectPredictionsOfClassifier(int classifier) { - return classifierCorrect[classifier]; - } - double getAccOfClassifier(int classifier) { - return (double)classifierCorrect[classifier] - /(double)classifierActivated[classifier]; - } - void dumpStats(const char *prefix); - void dumpStats2(); - void dumpStatsBrief(); - int getAliveClassifiers(){return aliveClassifiers;} - double getAverageActivation(); - void disableClassifier(int classifier) { - classifierActivated[classifier]=0; - } - - double getLSacc(int classifier) { - if(classifierActivated[classifier]==0) return 0; - double acc=getAccOfClassifier(classifier); - double laplaceAcc=(classifierCorrect[classifier]+1.0) - /(classifierActivated[classifier]+numClasses); - return (accmdlAccuracy) { - ind.computeTheoryLength(); - fitness=tMDL->mdlFitness(ind,this); - } else { - //fitness=2*(numInstancesTotal-numInstancesKO)+numInstancesOK; //+ind.getCoverageRatio(); - //fitness=getAccuracy2(); - fitness=getFMeasure(); - fitness*=fitness; - } - - return fitness; -} diff --git a/comparison_algs_src/BioHEL/agentPerformanceTraining.h b/comparison_algs_src/BioHEL/agentPerformanceTraining.h deleted file mode 100644 index 65e9228..0000000 --- a/comparison_algs_src/BioHEL/agentPerformanceTraining.h +++ /dev/null @@ -1,79 +0,0 @@ -#ifndef _AGENT_PERFORMANCE_TRAINING_H_ -#define _AGENT_PERFORMANCE_TRAINING_H_ - -class classifier; - -#include - -class agentPerformanceTraining { - int ruleClass; - - //int numInstancesOK; - //int numInstancesKO; - //int numInstancesNC; - - int numInstancesPos; - int numInstancesPosOK; - int numInstancesTotal; - int numInstancesMatched; - -public: - agentPerformanceTraining(int pNumInstances,int pRuleClass); - - inline void addMatch(int realClass,int predictedClass) { - if(realClass==ruleClass) numInstancesPos++; - numInstancesMatched++; - - if (predictedClass == realClass) { - numInstancesPosOK++; - } - } - - inline void addNoMatch(int realClass) { - if(realClass==ruleClass) numInstancesPos++; - } - - inline double getAccuracy() { return (double)numInstancesPosOK/(double)numInstancesTotal; } - //inline double getAccuracy() { return (double)numInstancesOK/(double)numInstancesTotal; } - //inline double getError() { return (double)numInstancesKO/(double)numInstancesTotal; } - //inline double getError2() { - // if(numInstancesOK+numInstancesKO==0) return 0; - // return (double)numInstancesKO/(double)(numInstancesOK+numInstancesKO); - //} - inline double getAccuracy2() { - if(numInstancesMatched==0) return 0; - return (double)numInstancesPosOK/(double)numInstancesMatched; - //if(numInstancesOK+numInstancesKO==0) return 0; - //return (double)numInstancesOK/(double)(numInstancesOK+numInstancesKO); - } - //inline double getCoverage() { return (double)(numInstancesOK+numInstancesKO)/(double)numInstancesTotal;} - inline double getCoverage() { return (double)numInstancesMatched/(double)numInstancesTotal;} - inline double getCoverage2() { return (double)numInstancesPosOK/(double)numInstancesTotal;} - inline int getNumOK() { return numInstancesPosOK;} - inline int getNumPos() { return numInstancesPos;} - inline int getNumMatched() { return numInstancesMatched; } - inline int getNumKO() { return numInstancesMatched-numInstancesPosOK;} - inline int getNumTotal() { return numInstancesTotal;} - inline double getNC(){return (double)(1-numInstancesMatched)/(double)numInstancesTotal;} - inline double getRecall(){ return (double)numInstancesPosOK/(double)numInstancesPos; } - inline double getFMeasure() { - double precision=getAccuracy2(); - double recall=getRecall(); - return 2*precision*recall/(precision+recall); - } - double getFitness(classifier &ind); - - inline void setNumMatched(int i) { - numInstancesMatched = i; - } - - inline void setNumPos(int i) { - numInstancesPos = i; - } - - inline void setNumOK(int i) { - numInstancesPosOK = i; - } -}; - -#endif diff --git a/comparison_algs_src/BioHEL/attributesInfo.cpp b/comparison_algs_src/BioHEL/attributesInfo.cpp deleted file mode 100644 index f7b9e18..0000000 --- a/comparison_algs_src/BioHEL/attributesInfo.cpp +++ /dev/null @@ -1,407 +0,0 @@ -#include "attributesInfo.h" -#include -#include "messageBuffer.h" -#include "configManagement.h" -#include - -extern messageBuffer mb; -extern configManagement cm; - -attributesInfo::attributesInfo() -{ - numAttributes=-1; - numExamples=0; - thereAreNominal=thereAreRealValued=0; -} - -void attributesInfo::setNumAttributes(int num) -{ - int i; - - numAttributes=num; - numAttributesMC=num-1; - typeOfAttributes=new int[num]; - valuesOfNominalAttributes=new JVector[num]; - - minDomain=new float[num-1]; - maxDomain=new float[num-1]; - sizeDomain=new float[num-1]; - sizeDomain2=new float[num-1]; - - averageOfAttribute=new float *[num-1]; - deviationOfAttribute=new float *[num-1]; - countNumValuesForRealAttributes=new int *[num-1]; - valueFrequenciesForNominalAttributes=new float **[num-1]; - mostFrequentValueForNominalAttributes=new int *[num-1]; - - for(i=0;i=numAttributes ) { - fprintf(stderr,"Incorrect values at attributesInfo::setTypeOfAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=-1) { - fprintf(stderr,"Already defined type for attribute %d\n",attribute); - exit(1); - } -#endif - - if(attribute=numAttributes) { - fprintf(stderr,"Incorrect value at attributesInfo::insertNominalValue %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::insertNominalValue %d\n",attribute); - exit(1); - } -#endif - - valuesOfNominalAttributes[attribute].addElement(value); -} - -JString *attributesInfo::getNominalValue(int attribute,int value) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes) { - fprintf(stderr,"Incorrect attr at attributesInfo::getNominalValue %d\n",attribute); - exit(1); - } - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::insertNominalValue %d\n",attribute); - exit(1); - } - if(value<0 || value>=valuesOfNominalAttributes[attribute].size()) { - fprintf(stderr,"Incorrect value at attributesInfo::getNominalValue %d\n",value); - exit(1); - } -#endif - - - return valuesOfNominalAttributes[attribute].elementAt(value); -} - - -int attributesInfo::getNumValuesAttribute(int attribute) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute\n",attribute); - exit(1); - } -#endif - - return valuesOfNominalAttributes[attribute].size(); -} - -void attributesInfo::insertInstance(instance *ins) -{ - int i,j,k; - - //First sample - if(!numExamples) { - int numClasses=getNumValuesAttribute(numAttributes-1); - classOfInstances=new int[numClasses]; - for(i=0;igetClass(); - classOfInstances[instanceClass]++; - - if(ins->hasMissingValues()) { - for(i=0;iisMissing(i)) { - if(typeOfAttributes[i]==NOMINAL) { - valueFrequenciesForNominalAttributes - [i][instanceClass] - [ins->valueOfAttribute(i)]++; - } else { - float value=ins->realValueOfAttribute(i); - averageOfAttribute[i][instanceClass]+=value; - deviationOfAttribute[i][instanceClass]+=(value*value); - countNumValuesForRealAttributes[i][instanceClass]++; - if(!numExamples) { - minDomain[i] = maxDomain[i] = value; - } else { - if(valuemaxDomain[i]) - maxDomain[i]=value; - } - sizeDomain[i]=maxDomain[i]-minDomain[i]; - sizeDomain2[i]=sizeDomain[i]/2; - } - } - } - } else { - for(i=0;ivalueOfAttribute(i)]++; - } else { - float value=ins->realValueOfAttribute(i); - averageOfAttribute[i][instanceClass]+=value; - deviationOfAttribute[i][instanceClass]+=(value*value); - countNumValuesForRealAttributes[i][instanceClass]++; - if(!numExamples) { - minDomain[i] = maxDomain[i] = value; - } else { - if(valuemaxDomain[i]) - maxDomain[i]=value; - } - sizeDomain[i]=maxDomain[i]-minDomain[i]; - sizeDomain2[i]=sizeDomain[i]/2; - } - } - } - - numExamples++; -} - -void attributesInfo::calculateAverages() -{ - int i,j,k; - - int numClasses=getNumValuesAttribute(numAttributes-1); - - mostFrequentClass=leastFrequentClass=0; - int numMostFrequent=classOfInstances[0]; - int numLeastFrequent=classOfInstances[0]; - for(i=1;inumMostFrequent) { - mostFrequentClass=i; - numMostFrequent=classOfInstances[i]; - } - if(classOfInstances[i]maxGlob) { - maxGlob=globalFreq[j]; - bestValGlob=j; - } - } - - for(j=0;jmax) { - max=(int)valueFrequenciesForNominalAttributes[i][j][k]; - bestVal=k; - } - } - if(max>0) { - mostFrequentValueForNominalAttributes[i][j]=bestVal; - } else { - mostFrequentValueForNominalAttributes[i][j]=bestValGlob; - } - //printf("Moda de Attribute %d per Classe %d:%d\n", - // i,j,mostFrequentValueForNominalAttributes[i][j]); - for(k=0;k=numAttributes-1) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=REAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } -#endif - - return deviationOfAttribute[attribute][whichClass]; -} - -float attributesInfo::getAverageOfAttribute(int whichClass,int attribute) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes-1) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=REAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } -#endif - - return averageOfAttribute[attribute][whichClass]; -} - -float attributesInfo::getFrequencyOfValueOfAttribute(int whichClass - ,int attribute,int value) -{ - return valueFrequenciesForNominalAttributes[attribute][whichClass][value]; -} - -int attributesInfo::getMostFrequentValueOfAttribute(int whichClass,int attribute) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes-1) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } -#endif - - return mostFrequentValueForNominalAttributes[attribute][whichClass]; -} - -void attributesInfo::setBounds(float *min,float *max) -{ - int i; - - for(i=0;iequals(tmp)) value=i; - } - return value; -} - diff --git a/comparison_algs_src/BioHEL/attributesInfo.h b/comparison_algs_src/BioHEL/attributesInfo.h deleted file mode 100644 index b6f14ef..0000000 --- a/comparison_algs_src/BioHEL/attributesInfo.h +++ /dev/null @@ -1,107 +0,0 @@ -#ifndef _ATTRIBUTES_INFO_H_ -#define _ATTRIBUTES_INFO_H_ - -#include "JString.h" -#include "JVector.h" -#include "instance.h" - -#define NOMINAL 1 -#define ENTER 2 -#define REAL 3 - -class attributesInfo { - int numAttributes; - int numAttributesMC; - int *typeOfAttributes; - float *minDomain,*maxDomain,*sizeDomain,*sizeDomain2; - float **averageOfAttribute; - float **deviationOfAttribute; - int **countNumValuesForRealAttributes; - int *classOfInstances; - float ***valueFrequenciesForNominalAttributes; - int **mostFrequentValueForNominalAttributes; - JVector *valuesOfNominalAttributes; - JVector attributeNames; - int numExamples; - int mostFrequentClass; - int leastFrequentClass; - int thereAreNominal; - int thereAreRealValued; - -public: - attributesInfo(); - void setNumAttributes(int num); - inline int getNumAttributes() {return numAttributes;} - inline int getNumAttributesMC() {return numAttributesMC;} - void setTypeOfAttribute(int attribute,int type); - void insertNominalValue(int attribute,JString *value); - JString *getNominalValue(int attribute,int value); - - void insertAttributeName(JString *name) { - attributeNames.addElement(name); - } - - JString *getAttributeName(int attr) { - return attributeNames.elementAt(attr); - } - - void updateClassCounters(int *counts) { - int i; - int numC=getNumClasses(); - for(i=0;i=numAttributes ) { - fprintf(stderr,"Incorrect values at attributesInfo::getTypeOfAttribute %d\n",attribute); - exit(1); - } - #endif - return typeOfAttributes[attribute]; - } - inline int * getTypeOfAttributes() { - return typeOfAttributes; - } - - - void calculateAverages(); - float getAverageOfAttribute(int whichClass,int attribute); - float getDeviationOfAttribute(int whichClass,int attribute); - int getMostFrequentValueOfAttribute(int whichClass,int attribute); - float getFrequencyOfValueOfAttribute(int whichClass,int attribute,int value); - void setBounds(float *min,float *max); - float getMinDomain(int attribute) {return minDomain[attribute];} - float getMaxDomain(int attribute) {return maxDomain[attribute];} - float getSizeDomain(int attribute) {return sizeDomain[attribute];} - float getSizeDomain2(int attribute) {return sizeDomain2[attribute];} - - int valueOfNominalAttribute(int attribute,char *def); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/biohel b/comparison_algs_src/BioHEL/biohel deleted file mode 100755 index 0a8f9fd..0000000 Binary files a/comparison_algs_src/BioHEL/biohel and /dev/null differ diff --git a/comparison_algs_src/BioHEL/classifier.h b/comparison_algs_src/BioHEL/classifier.h deleted file mode 100644 index b4fb0b5..0000000 --- a/comparison_algs_src/BioHEL/classifier.h +++ /dev/null @@ -1,181 +0,0 @@ -#ifndef _CLASSIFIER_H_ -#define _CLASSIFIER_H_ - -#include "configCodes.h" -#include "attributesInfo.h" -#include "classifierFitness.h" -#include "timerHierar.h" -#include "timerGlobals.h" -#include "timerMDL.h" -#include "random.h" -#include - -extern attributesInfo ai; -extern timerHierar *tHierar; -extern timerGlobals *tGlobals; -extern timerMDL *tMDL; -extern Random rnd; - -class agentPerformanceTraining; - -class classifier { - protected: - int length; // Length of the individual in genes - - double scaledFitness; - - int front; - double exceptionsLength; //For MDL fitness function - double accuracy; - double accuracy2; - double coverage; - double coverageTerm; - double recall; - - int numAttributesMC; - double theoryLength; - - public: - - int numAttributes; - double fitness; - int modif; - - inline classifier() { - length = 0; - modif = 1; - } - - inline ~classifier() { - } - - inline int getLength(void) { - return length; - } - - inline void fitnessComputation() { - modif = 0; - fitness = classifierFitness(*this); - } - - inline void setScaledFitness(double pFitness) { - scaledFitness = pFitness; - } - inline double getFitness(void) { - return fitness; - } - inline void setFitness(double pFit) { - fitness=pFit; - } - inline double getScaledFitness(void) { - return scaledFitness; - } - inline void setAccuracy(double acc) { - accuracy = acc; - } - inline double getAccuracy() { - return accuracy; - } - inline void setAccuracy2(double acc) { - accuracy2 = acc; - } - inline double getAccuracy2() { - return accuracy2; - } - inline void setCoverage(double cov) { - coverage = cov; - } - inline double getCoverage() { - return coverage; - } - - inline void adjustFitness() { - if(tMDL->mdlAccuracy) { - fitness=exceptionsLength; - } - } - - - inline double getExceptionsLength() { - return exceptionsLength; - } - inline void setExceptionsLength(double excep) { - exceptionsLength = excep; - } - inline int isModified() { - return modif; - } - inline void activateModified() { - modif = 1; - } - inline double getTheoryLength() { - return theoryLength; - } - - inline double getCoverageTerm() { - return coverageTerm; - } - - inline void setCoverageTerm(double ct) { - coverageTerm = ct; - } - - inline double getRecall() { - return recall; - } - - inline void setRecall(double r) { - recall=r; - } - - virtual int getClass() = 0; - virtual int doMatch(instance * i) = 0; - virtual void dumpPhenotype(char *string) = 0; - virtual void dumpGenotype(char *string) {} - virtual double computeTheoryLength() = 0; - // Second parent of CX & the two sons - virtual void crossover(classifier *, classifier *, classifier *) = 0; - - virtual void mutation() = 0; - virtual int numSpecialStages() = 0; - virtual void doSpecialStage(int stage) = 0; - virtual void postprocess() {} - - virtual void initiateEval() {} - virtual void finalizeEval() {} - - virtual int equals(classifier * i2) {} - - inline int compareToIndividual(classifier * i2, int maxmin) { - if (maxmin == MAXIMIZE) { - if (fitness>i2->fitness) - return +69; - if (fitnessfitness) - return -69; - return 0; - } - if (fitnessfitness) - return +69; - if (fitness>i2->fitness) - return -69; - return 0; - } - - inline int compareToIndividual2(classifier * i2, int maxmin) { - if (maxmin == MAXIMIZE) { - if (fitness>i2->fitness) - return -69; - if (fitnessfitness) - return +69; - return 0; - } - if (fitnessfitness) - return -69; - if (fitness>i2->fitness) - return +69; - return 0; - } - -}; - -#endif diff --git a/comparison_algs_src/BioHEL/classifierFitness.cpp b/comparison_algs_src/BioHEL/classifierFitness.cpp deleted file mode 100644 index 7940291..0000000 --- a/comparison_algs_src/BioHEL/classifierFitness.cpp +++ /dev/null @@ -1,144 +0,0 @@ -#include -#include -#include -#include - -#include "classifier.h" -#include "classifier_aggregated.h" -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMDL.h" -#include "agentPerformance.h" -#include "agentPerformanceTraining.h" -#include "instanceSet.h" -#include "JVector.h" -#include "messageBuffer.h" -#include "factory.h" - -extern attributesInfo ai; -extern instanceSet *is; -extern timerGlobals *tGlobals; -extern timerMDL *tMDL; -extern int lastIteration; -extern messageBuffer mb; -extern int nodeRank; - -using namespace std; - -void classifierStats(classifier_aggregated & ind, char instancesFile[], - const char *typeOfFile) -{ - int i; - agentPerformance ap(ind.getNumClassifiers(), ai.getNumClasses()); - instanceSet *is = new instanceSet(instancesFile, TEST); - int numInstances = is->getNumInstancesOfIteration(); - - for (i = 0; i < numInstances; i++) { - instance *ins = is->getInstance(i); - int realClass = ins->getClass(); - int predictedClass = -1; - int whichClassifier=ind.classify(ins); - if (whichClassifier != -1) { - predictedClass = ind.getClass(whichClassifier); - } - ap.addPrediction(realClass, predictedClass, - whichClassifier); - } - - ind.setAccuracy(ap.getAccuracy()); - ap.dumpStats(typeOfFile); - delete is; -} - -int isMajority(classifier & ind) -{ - int i; - int numInstances = is->getNumInstances(); - instance **instances=is->getAllInstances(); - - int cl=ind.getClass(); - - int nc=ai.getNumClasses(); - int classCounts[nc]; - for(i=0;iinstanceClass==cl) numPos++; - if(ind.doMatch(instances[i])) { - classCounts[instances[i]->instanceClass]++; - } - } - - ind.finalizeEval(); - - double ratio=(double)classCounts[cl]/(double)numPos; - if(ratiocoverageBreaks[cl]/3) return 0; - - int max=classCounts[0]; - int posMax=0; - int tie=0; - - for(i=1;imax) { - max=classCounts[i]; - posMax=i; - tie=0; - } else if(classCounts[i]==max) { - tie=1; - } - } - - return (max>0 && !tie && posMax==cl); -} - - -void classifierBriefTest(classifier_aggregated & ind, instanceSet *is) -{ - int i; - agentPerformance ap(ind.getNumClassifiers(), ai.getNumClasses()); - int numInstances = is->getNumInstancesOrig(); - instance **instances=is->getOrigInstances(); - - for (i = 0; i < numInstances; i++) { - int predictedClass = -1; - int whichClassifier=ind.classify(instances[i]); - if (whichClassifier != -1) { - predictedClass = ind.getClass(whichClassifier); - } - ap.addPrediction(instances[i]->instanceClass, predictedClass, whichClassifier); - } - - ap.dumpStatsBrief(); -} - -double classifierFitness(classifier & ind) -{ - int i; - int numInstances = is->getNumInstancesOfIteration(); - int cl=ind.getClass(); - agentPerformanceTraining ap(numInstances,cl); - instance **instances=is->getInstancesOfIteration(); - - ind.initiateEval(); - - for (i = 0; i < numInstances; i++) { - if(ind.doMatch(instances[i])) { - ap.addMatch(instances[i]->instanceClass,cl); - } else { - ap.addNoMatch(instances[i]->instanceClass); - } - } - ind.finalizeEval(); - //printf("Matched %d Pos %d OK %d\n",ap.getNumMatched(),ap.getNumPos(),ap.getNumOK()); - ind.setAccuracy(ap.getAccuracy()); - ind.setAccuracy2(ap.getAccuracy2()); - ind.setCoverage(ap.getCoverage()); - - double fitness=ap.getFitness(ind); - return fitness; -} - diff --git a/comparison_algs_src/BioHEL/classifierFitness.h b/comparison_algs_src/BioHEL/classifierFitness.h deleted file mode 100644 index 2695810..0000000 --- a/comparison_algs_src/BioHEL/classifierFitness.h +++ /dev/null @@ -1,19 +0,0 @@ -#ifndef _CLASSIFIER_FITNESS_H_ - -#define _CLASSIFIER_FITNESS_H_ - -class classifier; -class instance; -class instanceSet; -class classifierFactory; -class classifier_aggregated; -#include "JVector.h" - - -double classifierFitness(classifier & ind); -void classifierBriefTest(classifier_aggregated &ind, instanceSet *is); -void classifierStats(classifier_aggregated &ind, char instancesFile[], const char *typeOfFile); -void evaluateIndividuals(classifierFactory *cf); -int isMajority(classifier & ind); - -#endif diff --git a/comparison_algs_src/BioHEL/classifier_aggregated.h b/comparison_algs_src/BioHEL/classifier_aggregated.h deleted file mode 100644 index 56c39a6..0000000 --- a/comparison_algs_src/BioHEL/classifier_aggregated.h +++ /dev/null @@ -1,127 +0,0 @@ -#ifndef _CLASSIFIER_AGGREGATED_ - -#define _CLASSIFIER_AGGREGATED_ - -#include "classifier.h" -#include "JVector.h" -#include "instanceSet.h" -#include "configManagement.h" - -extern configManagement cm; - -class classifier_aggregated { - JVectorclassifiers; - int defaultClass; - double accuracy; - int defaultClassPolicy; - -public: - inline classifier_aggregated() { - defaultClassPolicy=(int)cm.getParameter(DEFAULT_CLASS); - switch(defaultClassPolicy) { - case MAJOR: - defaultClass=ai.getMostFrequentClass(); - //defaultClass=0; - break; - case MINOR: - //defaultClass=0; - defaultClass=ai.getLeastFrequentClass(); - break; - case FIXED: - defaultClass=(int)cm.getParameter(FIXED_DEFAULT_CLASS); - break; - case DISABLED: - default: - defaultClass=-1; - break; - } - } - - inline ~classifier_aggregated() { - int i; - - for(i=0;igetClass(); - } - - inline int getNumClassifiers() { - int numCL=classifiers.size(); - if(defaultClass!=-1) numCL++; - return numCL; - } - - inline void setDefaultRule(instanceSet *is) { - int i; - - if(defaultClassPolicy!=DISABLED) return; - - int nc=ai.getNumClasses(); - int classCounts[nc]; - for(i=0;igetNumInstances(); - instance **instances=is->getAllInstances(); - for(i=0;iinstanceClass]++; - } - - int max=classCounts[0]; - int posMax=0; - for(i=1;imax) { - posMax=i; - max=classCounts[i]; - } - } - - defaultClass=posMax; - } - - inline int classify(instance *ins) { - int i; - - int size=classifiers.size(); - for(i=0;idoMatch(ins)) return i; - } - if(defaultClass!=-1) return size; - return -1; - } - - inline double getAccuracy() {return accuracy;} - inline void setAccuracy(double acc) {accuracy=acc;} - - inline void dumpPhenotype(char *string) { - int i; - char temp[2000000]; - - int size=classifiers.size(); - strcpy(string,""); - for(i=0;idumpPhenotype(temp); - strcat(string,temp); - } - if(defaultClass!=-1) { - sprintf(temp, "%d:Default rule -> %s\n", i - ,ai.getNominalValue(tGlobals->numAttributesMC - ,defaultClass)->cstr()); - strcat(string, temp); - } - strcat(string, "\n"); - } - - inline void addClassifier(classifier *cl) { - cl->initiateEval(); - classifiers.addElement(cl); - } -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_gabil.cpp b/comparison_algs_src/BioHEL/classifier_gabil.cpp deleted file mode 100644 index 236a1eb..0000000 --- a/comparison_algs_src/BioHEL/classifier_gabil.cpp +++ /dev/null @@ -1,520 +0,0 @@ -#include "classifier_gabil.h" -#include "random.h" -#include -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerSymbolicKR.h" -#include "timerHierar.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerGlobals.h" -#include "instanceSet.h" -#include "sampling.h" - -extern attributesInfo ai; -extern timerSymbolicKR *tSymbolic; -extern timerHierar *tHierar; -extern timerGlobals *tGlobals; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern Random rnd; -extern instanceSet *is; -extern int lastIteration; - -using namespace std; - -double classifier_gabil::computeTheoryLength() -{ - int j, k; - unsigned char *ptr = chromosome; - theoryLength = 0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - int numFalse = 0; - int numValues = tSymbolic->sizeAttribute[j]; - for (k = 0; k < numValues; k++) { - if (!ptr[k]) numFalse++; - } - theoryLength += (double)numFalse/(double)numValues; - ptr+=numValues; - } - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_gabil::classifier_gabil() -{ - int i; - - length = tSymbolic->ruleSize; - chromosome = new unsigned char[length]; - - classifier_gabil::initializeChromosome(); -} - -classifier_gabil:: -classifier_gabil(const classifier_gabil & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new unsigned char[length]; - bcopy(orig.chromosome, chromosome, - length * sizeof(unsigned char)); - } else { - chromosome = NULL; - } -} - -classifier_gabil::~classifier_gabil() -{ - delete chromosome; -} - -void classifier_gabil::gabilRuleCover(unsigned char *rule,instance *ins,double prob) -{ - int j, k; - - unsigned char *ptr=rule; - for (j = 0; j < tGlobals->numAttributesMC; j++) { - int value; - if(ins) value=(unsigned char)ins->realValues[j]; - else value = -1; - for (k = 0; k < tSymbolic->sizeAttribute[j]; k++){ - if(k!=value) { - if (!rnd < prob) ptr[k]=1; - else ptr[k]=0; - } else { - ptr[k]=1; - } - } - ptr+=tSymbolic->sizeAttribute[j]; - } - - if(ins) { - ptr[0]=ins->getClass(); - } else { - int cl; - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED - && cl==tGlobals->defaultClass); - ptr[0]=cl; - } -} - -void classifier_gabil::initializeChromosome() -{ - int i; - - unsigned char *ptr=chromosome; - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - gabilRuleCover(ptr,ins,tGlobals->probOne); -} - -void classifier_gabil::setGene(short int gene, short int value - , unsigned char nfo) -{ - chromosome[tSymbolic->offsetAttribute[gene] + value] = nfo; - modif = 1; -} - -unsigned char classifier_gabil::getGene(short int gene, short int value) -{ - return chromosome[tSymbolic->offsetAttribute[gene] + value]; -} - -void classifier_gabil::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - - switch (tCross->cxOperator) { - case CROSS_INFORMED: - crossover_informed(this, (classifier_gabil *) in, - (classifier_gabil *) out1, - (classifier_gabil *) out2); - break; - case CROSS_2P: - crossover_2px(this, (classifier_gabil *) in, - (classifier_gabil *) out1, - (classifier_gabil *) out2); - break; - case CROSS_1P: - default: - crossover_1px(this, (classifier_gabil *) in, - (classifier_gabil *) out1, - (classifier_gabil *) out2); - } - -} - -void classifier_gabil::mutation() -{ - int i; - int attribute, value; - - // Modificarem el chromosome - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,tSymbolic->sizeAttribute[attribute]-1); - } - - if (attribute != tGlobals->numAttributesMC ) { - if (getGene(attribute, value) == 0) - setGene(attribute, value, 1); - else - setGene(attribute, value, 0); - } else { - int oldValue=getGene(attribute,value); - int newValue; - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while(newValue==oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } -} - -static void swap(int &a, int &b) -{ - int tmp; - - tmp = a; - a = b; - b = tmp; -} - -void classifier_gabil::crossover_2px(classifier_gabil * in1, - classifier_gabil * in2, - classifier_gabil * out1, - classifier_gabil * out2) -{ - out1->modif = out2->modif = 1; - out1->length = tSymbolic->ruleSize; - out2->length = tSymbolic->ruleSize; - out1->chromosome = new unsigned char[tSymbolic->ruleSize]; - out2->chromosome = new unsigned char[tSymbolic->ruleSize]; - - int cutPoint1 = rnd(0, tSymbolic->ruleSize - 1); - int cutPoint2 = rnd(0, tSymbolic->ruleSize - 1); - if (cutPoint1 > cutPoint2) swap(cutPoint1, cutPoint2); - - bcopy(in1->chromosome, out1->chromosome, cutPoint1); - bcopy(in2->chromosome, out2->chromosome, cutPoint1); - - bcopy(&in1->chromosome[cutPoint1], &out2->chromosome[cutPoint1], cutPoint2-cutPoint1); - bcopy(&in2->chromosome[cutPoint1], &out1->chromosome[cutPoint1], cutPoint2-cutPoint1); - - bcopy(&in1->chromosome[cutPoint2], &out1->chromosome[cutPoint2], tSymbolic->ruleSize-cutPoint2); - bcopy(&in2->chromosome[cutPoint2], &out2->chromosome[cutPoint2], tSymbolic->ruleSize-cutPoint2); -} - -void classifier_gabil::dumpPhenotype(char *string) -{ - unsigned char *ptr = chromosome; - char temp[10000]; - char temp2[1000]; - int i, j, k; - - strcpy(string, ""); - unsigned char *ptr2 = ptr; - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - for (k = 0; k < tSymbolic->sizeAttribute[j]; k++) { - if(ptr2[k]) { - sprintf(temp2,"%s,",ai.getNominalValue(j,k)->cstr()); - strcat(temp,temp2); - } else { - irr=0; - } - } - - if(!irr) { - if(temp[strlen(temp) - 1] == ',') - temp[strlen(temp) - 1] = 0; - strcat(string, temp); - strcat(string, "|"); - } - ptr2 += tSymbolic->sizeAttribute[j]; - } - int cl=(int)*ptr2; - sprintf(temp, "%s\n", - ai.getNominalValue(tGlobals->numAttributesMC - , cl)->cstr()); - strcat(string, temp); -} - -void classifier_gabil::crossover_informed(classifier_gabil * in1, - classifier_gabil * in2, - classifier_gabil * out1, - classifier_gabil * out2) { - out1->modif = out2->modif = 1; - out1->length = tSymbolic->ruleSize; - out2->length = tSymbolic->ruleSize; - out1->chromosome = new unsigned char[tSymbolic->ruleSize]; - out2->chromosome = new unsigned char[tSymbolic->ruleSize]; - - int i,j; - - for(i=0;inumBB;i++) { - // Let's choose parent... - if(!rnd<0.5) { - for(j=0;jsizeBBs[i];j++) { - int att=tCross->defBBs[i][j]; - bcopy(&in1->chromosome[tSymbolic->offsetAttribute[att]] - ,&out1->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - bcopy(&in2->chromosome[tSymbolic->offsetAttribute[att]] - ,&out2->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - } - } else { - for(j=0;jsizeBBs[i];j++) { - int att=tCross->defBBs[i][j]; - bcopy(&in1->chromosome[tSymbolic->offsetAttribute[att]] - ,&out2->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - bcopy(&in2->chromosome[tSymbolic->offsetAttribute[att]] - ,&out1->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - } - } - } -} - -void classifier_gabil::crossover_1px(classifier_gabil * in1, - classifier_gabil * in2, - classifier_gabil * out1, - classifier_gabil * out2) -{ - int cutPoint; - - out1->modif = out2->modif = 1; - - cutPoint = rnd(0, tSymbolic->ruleSize - 1); - out1->length = tSymbolic->ruleSize; - out2->length = tSymbolic->ruleSize; - - out1->chromosome = new unsigned char[tSymbolic->ruleSize]; - out2->chromosome = new unsigned char[tSymbolic->ruleSize]; - - bcopy(in1->chromosome, out1->chromosome, cutPoint); - bcopy(in2->chromosome, out2->chromosome, cutPoint); - - bcopy(&in1->chromosome[cutPoint], &out2->chromosome[cutPoint], tSymbolic->ruleSize-cutPoint); - bcopy(&in2->chromosome[cutPoint], &out1->chromosome[cutPoint], tSymbolic->ruleSize-cutPoint); -} - -void classifier_gabil::postprocess() -{ - int numInstances = is->getNumInstancesOfIteration(); - int instanceMatched[numInstances]; - - cleanRule(instanceMatched); - generalizeRule(instanceMatched); -} - -void classifier_gabil::generalizeRule(int *instanceMap) -{ - int i,j; - int len=tSymbolic->ruleSize-1; - int countPos[len]; - int countNeg[len]; - JVector *candInst[len]; - int numInstances=is->getNumInstancesOfIteration(); - instance **instances=is->getInstancesOfIteration(); - int exitLoop=0; - int lastRound=0; - - do { - if(lastRound) { - if(lastRound==3) exitLoop=1; - lastRound++; - } - - for(i=0;inumAttributesMC;j++) { - int value=(unsigned char)instances[i]->realValues[j]; - int pos=tSymbolic->offsetAttribute[j]+value; - if(chromosome[pos]==0) { - numMatches++; - whichPos=pos; - if(numMatches>=2) break; - } - } - - if(numMatches==1) { - if(candInst[whichPos]==NULL) { - candInst[whichPos] = new JVector((int)(numInstances*0.1)); - } - candInst[whichPos]->addElement(i); - if(instances[i]->instanceClass==cl) { - countPos[whichPos]++; - } else { - countNeg[whichPos]++; - } - } - } - } - - int max=0; - int bestPos; - if(lastRound) { - for(i=0;imax) { - bestPos=i; - max=diff; - } - } - } else { - for(i=0;imax) { - bestPos=i; - max=countPos[i]; - } - } - } - - if(max>0) { - printf("Best %d %d\n",countPos[bestPos],countNeg[bestPos]); - chromosome[bestPos]=1; - for(i=0;ielementAt(i)]=1; - } - } else { - if(lastRound) exitLoop=1; - else lastRound=1; - //exitLoop=1; - } - - for(i=0;igetNumInstancesOfIteration(); - instance **instances=is->getInstancesOfIteration(); - int i,j,k; - - for(i=0;iruleSize - 1]; - int size=tSymbolic->ruleSize - 1; - int numPossibleCandidates; - int exitLoop=0; - int lastRound=0; - - do { - if(lastRound) { - if(lastRound==3) exitLoop=1; - lastRound++; - } - - int posMatch[size]; - int negMatch[size]; - int candidates[size]; - - for(j=0;jinstanceClass==cl) { - for(k=0;knumAttributesMC;k++) { - int pos=tSymbolic->offsetAttribute[k]+(unsigned char)instances[j]->realValues[k]; - posMatch[pos]++; - candidates[pos]=0; - } - } else { - for(k=0;knumAttributesMC;k++) { - int pos=tSymbolic->offsetAttribute[k]+(unsigned char)instances[j]->realValues[k]; - negMatch[pos]++; - if(!posMatch[pos]) { - candidates[pos]=1; - } - } - } - } else { - instanceMatched[j]=0; - } - } - } - - if(lastRound) { - int posMax; - double maxNeg=1; - - for(j=0;jmaxNeg) { - posMax=j; - maxNeg=negMatch[j]; - } - } - } - - if(maxNeg>-1) { - ptr[posMax]=0; - } else { - if(lastRound) exitLoop=1; - else lastRound=1; - //exitLoop=1; - } - } - - } while(!exitLoop); -} diff --git a/comparison_algs_src/BioHEL/classifier_gabil.h b/comparison_algs_src/BioHEL/classifier_gabil.h deleted file mode 100644 index c55595f..0000000 --- a/comparison_algs_src/BioHEL/classifier_gabil.h +++ /dev/null @@ -1,102 +0,0 @@ -#ifndef _CLASSIFIER_GABIL_ - -#define _CLASSIFIER_GABIL_ - -#include "classifier.h" -#include "agentPerformanceTraining.h" -#include "timerGlobals.h" -#include "timerSymbolicKR.h" - - -extern timerGlobals *tGlobals; -extern timerSymbolicKR *tSymbolic; - -class classifier_gabil: public classifier { - - void crossover_informed(classifier_gabil *in1 - ,classifier_gabil *in2 - ,classifier_gabil *out1 - ,classifier_gabil *out2); - void crossover_1px(classifier_gabil *in1 - ,classifier_gabil *in2 - ,classifier_gabil *out1 - ,classifier_gabil *out2); - void crossover_2px(classifier_gabil *in1,classifier_gabil *in2 - , classifier_gabil *out1 - ,classifier_gabil *out2); - unsigned char getGene(short int gene,short int value); - void setGene(short int gene,short int value - ,unsigned char nfo); - void gabilRuleCover(unsigned char *rule,instance *ins,double prob); - - void initializeChromosome(void); - - void cleanRule(int *instanceMatched); - void generalizeRule(int *instanceMatched); - - - inline virtual void dumpGenotype(char *string) - { - unsigned char *ptr=chromosome; - int i,j,k; - - string[0]=0; - char tmp[tSymbolic->ruleSize+tGlobals->numAttributes]; - int countPos=0; - int dead=0; - for (j=0;jnumAttributesMC && !dead;j++) { - int attDead=1; - for(k=tSymbolic->offsetAttribute[j];koffsetAttribute[j]+tSymbolic->sizeAttribute[j];k++) { - if(ptr[k]==1) attDead=0; - tmp[countPos++]=ptr[k]+'0'; - } - tmp[countPos++]='|'; - if(attDead==1) dead=1; - } - - if(!dead) { - tmp[countPos++]=ptr[tSymbolic->ruleSize-1]+'0'; - tmp[countPos]=0; - strcat(string,tmp); - strcat(string,"\n"); - } - } -public: - unsigned char *chromosome; - - classifier_gabil(); - classifier_gabil(const classifier_gabil &orig,int son=0); - ~classifier_gabil(); - - inline int getClass() { - return (int) chromosome[tSymbolic->ruleSize - 1]; - } - - inline int doMatch(instance *ins) - { - int j; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - if (chromosome[tSymbolic->offsetAttribute[j] - //+ ins->nominalValues[j]] == 0) { - + (unsigned char)ins->realValues[j]] == 0) { - return 0; - } - } - return 1; - } - - double computeTheoryLength(); - - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); - -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect.cpp b/comparison_algs_src/BioHEL/classifier_hyperrect.cpp deleted file mode 100644 index 871a8e8..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect.cpp +++ /dev/null @@ -1,308 +0,0 @@ -#include "classifier_hyperrect.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect::computeTheoryLength() -{ - int i, j, k; - float *ptr = chromosome; - theoryLength = 0.0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - if (ai.getTypeOfAttribute(j) == REAL) { - float vmin=ptr[0]; - float vmax=ptr[1]; - float size=ai.getSizeDomain(j); - if(vmin0) { - theoryLength += 1.0 - - (vmax-vmin) / size; - } - } else { - double countFalses = 0; - int numValues=tReal->attributeSize[j]; - for(k=0;kattributeSize[j]; - } - - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect::classifier_hyperrect() -{ - length = tReal->ruleSize; - chromosome = new float[tReal->ruleSize]; - - classifier_hyperrect::initializeChromosome(); -} - -classifier_hyperrect::classifier_hyperrect(const classifier_hyperrect & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new float[tReal->ruleSize]; - bcopy(orig.chromosome, chromosome, - tReal->ruleSize * sizeof(float)); - } else { - chromosome = NULL; - } -} - -classifier_hyperrect::~classifier_hyperrect() -{ - delete chromosome; -} - -void classifier_hyperrect::initializeChromosome() -{ - int i, j, k; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - if (ai.getTypeOfAttribute(j) == REAL) { - float min,max; - float sizeD=ai.getSizeDomain(j); - float minD=ai.getMinDomain(j); - float maxD=ai.getMaxDomain(j); - if(!rndprobIrr) { - max=!rnd*sizeD+minD; - min=!rnd*(maxD-max)+max; - } else { - //float size=(!rnd*0.10+0.90)*ai.getSizeDomain(j); - float size=(!rnd*0.5+0.25)*sizeD; - if(ins) { - float val=ins->realValueOfAttribute(j); - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - } - - setGene(j,0,min); - setGene(j,1,max); - } else { - int value; - if(ins) value=ins->valueOfAttribute(j); - else value=-1; - for(k=0;kattributeSize[j];k++) { - if(k!=value) { - if(!rndprobOne) { - setGene(j,k,1); - } else { - setGene(j,k,0); - } - } else { - setGene(j,k,1); - } - } - } - } - - int cl; - if(ins) { - cl=ins->getClass(); - } else { - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && cl==tGlobals->defaultClass); - } - setGene(tGlobals->numAttributesMC, 0, cl); -} - -void classifier_hyperrect::setGene(short int gene, short int value, float nfo) -{ - chromosome[tReal->attributeOffset[gene] + value] = nfo; - modif = 1; -} - -float classifier_hyperrect::getGene(short int gene, short int value) -{ - return chromosome[tReal->attributeOffset[gene] + value]; -} - -void classifier_hyperrect::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect *) in, - (classifier_hyperrect *) out1, - (classifier_hyperrect *) out2); -} - -float classifier_hyperrect::mutationOffset(float geneValue, float offsetMin, - float offsetMax) -{ - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect::mutation() -{ - int i; - int attribute, value; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,tReal->attributeSize[attribute]-1); - } - - if (attribute != tGlobals->numAttributesMC) { - float oldValue=getGene(attribute,value); - if (ai.getTypeOfAttribute(attribute) == REAL) { - float newValue; - float minOffset, maxOffset; - minOffset = maxOffset = - 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(oldValue, minOffset, - maxOffset); - if (newValue < ai.getMinDomain(attribute)) - newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) - newValue = ai.getMaxDomain(attribute); - setGene(attribute, value, newValue); - } else { - if(oldValue==1) setGene(attribute,value,0); - else setGene(attribute,value,1); - } - } else { - int newValue; - int oldValue = (int) getGene(attribute, value); - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } -} - -void classifier_hyperrect::dumpPhenotype(char *string) -{ - float *ptr = chromosome; - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int numIntervals=0; - int i, j, k; - - strcpy(string, ""); - float *ptr2 = ptr; - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - - if (ai.getTypeOfAttribute(j) == REAL) { - float min = ptr2[0]; - float max = ptr2[1]; - float size = ai.getSizeDomain(j); - - float sizeD=max-min; - if(minattributeSize[j];k++) { - if(ptr2[k]) { - sprintf(temp2,"%s,",ai.getNominalValue(j,k)->cstr()); - strcat(temp,temp2); - } else { - irr=0; - } - } - if(temp[strlen(temp) - 1] == ',') temp[strlen(temp) - 1] = 0; - } - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - ptr2 += tReal->attributeSize[j]; - } - int cl=(int) (*ptr2); - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,cl)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect::crossover_1px(classifier_hyperrect * in1, - classifier_hyperrect * in2, - classifier_hyperrect * out1, - classifier_hyperrect * out2) -{ - out1->modif = out2->modif = 1; - - int cutPoint = rnd(0, tReal->ruleSize - 1); - out1->length = tReal->ruleSize; - out2->length = tReal->ruleSize; - out1->chromosome = new float[tReal->ruleSize]; - out2->chromosome = new float[tReal->ruleSize]; - - bcopy(in1->chromosome, out1->chromosome, cutPoint * sizeof(float)); - bcopy(in2->chromosome, out2->chromosome, cutPoint * sizeof(float)); - - bcopy(&in1->chromosome[cutPoint], &out2->chromosome[cutPoint], - (tReal->ruleSize - cutPoint) * sizeof(float)); - bcopy(&in2->chromosome[cutPoint], &out1->chromosome[cutPoint], - (tReal->ruleSize - cutPoint) * sizeof(float)); -} - -void classifier_hyperrect::postprocess() -{ -} - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect.h b/comparison_algs_src/BioHEL/classifier_hyperrect.h deleted file mode 100644 index bcf3c79..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect.h +++ /dev/null @@ -1,77 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_ -#define _CLASSIFIER_HYPERRECT_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect: public classifier { - float *chromosome; - - /* Operadors de crossover i mutation */ - void crossover_1px(classifier_hyperrect *in1,classifier_hyperrect *in2 - ,classifier_hyperrect *out1,classifier_hyperrect *out2); - float getGene(short int attr,short int value); - void setGene(short int attr,short int value,float nfo); - float mutationOffset(float geneValue,float offsetMin,float offsetMax); - void initializeChromosome(void); - -public: - classifier_hyperrect(); - classifier_hyperrect(const classifier_hyperrect &orig,int son=0); - ~classifier_hyperrect(); - - inline int getClass() { - return (int) chromosome[tReal->ruleSize - 1]; - } - - inline void swapD(float &a,float &b) { - float temp=a; - a=b; - b=temp; - } - - - inline int doMatch(instance * ins) - { - float *ptr = chromosome; - int j, match; - int numAtributs = tGlobals->numAttributesMC; - - float *cAtr = ptr; - for (j = 0; j < numAtributs; j++) { - if (ai.getTypeOfAttribute(j) == REAL) { - float valueAtr = ins->realValues[j]; - float min = cAtr[0]; - float max = cAtr[1]; - if (min max))) - return 0; - } else { - int valueAtr = (unsigned char)ins->realValues[j]; - if (cAtr[valueAtr] == 0) { - return 0; - } - } - cAtr += tReal->attributeSize[j]; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect_list.cpp b/comparison_algs_src/BioHEL/classifier_hyperrect_list.cpp deleted file mode 100644 index f42e860..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect_list.cpp +++ /dev/null @@ -1,622 +0,0 @@ -#include "classifier_hyperrect_list.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect_list::computeTheoryLength() -{ - int i,j,base; - theoryLength = 0.0; - - float *ptr=predicates; - - for(i=0;i0) { - theoryLength += 1.0 - (ptr[1]-ptr[0])/size; - } - } else { - double countFalses = 0; - int numValues=tReal->attributeSize[att]; - for(j=0;jattributeSize[att]; - } - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_list::classifier_hyperrect_list(int empty) -{ - classifier_hyperrect_list::initializeChromosome(empty); -} - -classifier_hyperrect_list::classifier_hyperrect_list(const classifier_hyperrect_list & orig, int son) -{ - *this = orig; - - if (!son) { - whichAtt = new int[numAtt]; - bcopy(orig.whichAtt, whichAtt, numAtt * sizeof(int)); - - offsetPredicates = new int[numAtt]; - bcopy(orig.offsetPredicates, offsetPredicates, numAtt * sizeof(int)); - - predicates = new float[ruleSize]; - bcopy(orig.predicates, predicates, ruleSize * sizeof(float)); - } else { - whichAtt = NULL; - predicates = NULL; - offsetPredicates=NULL; - } -} - -classifier_hyperrect_list::~classifier_hyperrect_list() -{ - delete whichAtt; - delete predicates; - delete offsetPredicates; -} - -void classifier_hyperrect_list::initializeChromosome(int empty) -{ - int i,j,base; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize=0; - if(!empty) { - for(i=0;inumAttributesMC;i++) { - if(!rnd>=tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize+=tReal->attributeSize[i]; - } - } - } - - numAtt=selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for(i=0,base=0;irealValues[att]; - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - - predicates[base]=min; - predicates[base+1]=max; - } else { - int value; - if(ins) value=(unsigned char)ins->realValues[att]; - else value=-1; - for(j=0;jattributeSize[att];j++) { - if(j!=value) { - if(!rndprobOne) { - predicates[base+j]=1; - } else { - predicates[base+j]=0; - } - } else { - predicates[base+j]=1; - } - } - } - - base+=tReal->attributeSize[att]; - } - - if(!empty) { - if(ins) { - classValue=ins->getClass(); - } else { - do { - classValue=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && classValue==tGlobals->defaultClass); - } - } else { - if(tGlobals->defaultClassPolicy != DISABLED) { - classValue=is->getMajorityClassExcept(tGlobals->defaultClass); - } else { - classValue=is->getMajorityClass(); - } - } - -} - -void classifier_hyperrect_list::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect_list *) in, - (classifier_hyperrect_list *) out1, - (classifier_hyperrect_list *) out2); -} - -float classifier_hyperrect_list::mutationOffset(float geneValue, float offsetMin, - float offsetMax) -{ - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_list::mutation() -{ - int i; - int attribute, value,attIndex; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - int newValue; - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == classValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - classValue=newValue; - } else { - if(numAtt>0) { - attIndex=rnd(0,numAtt-1); - attribute=whichAtt[attIndex]; - value=rnd(0,tReal->attributeSize[attribute]-1); - int index=offsetPredicates[attIndex]+value; - - if (ai.getTypeOfAttribute(attribute) == REAL) { - float newValue,minOffset,maxOffset; - minOffset = maxOffset = 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(predicates[index], minOffset, maxOffset); - if (newValue < ai.getMinDomain(attribute)) newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) newValue = ai.getMaxDomain(attribute); - predicates[index]=newValue; - if(value) index--; - if(predicates[index]>predicates[index+1]) { - swapD(predicates[index],predicates[index+1]); - } - } else { - if(predicates[index]==1) predicates[index]=0; - else predicates[index]=1; - } - } - } -} - -void classifier_hyperrect_list::dumpPhenotype(char *string) -{ - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int i,j,index; - - strcpy(string, ""); - for (i = 0,index=0; i < numAtt; i++) { - int attIndex=whichAtt[i]; - sprintf(temp,"Att %s is " ,ai.getAttributeName(attIndex)->cstr()); - int irr=1; - - if (ai.getTypeOfAttribute(attIndex) == REAL) { - float minD=ai.getMinDomain(attIndex); - float maxD=ai.getMaxDomain(attIndex); - if(predicates[index]==minD) { - if(predicates[index+1]==maxD) { - // do nothing - } else { - irr=0; - sprintf(temp2, "[<%f]", predicates[index+1]); - strcat(temp,temp2); - } - } else { - if(predicates[index+1]==maxD) { - irr=0; - sprintf(temp2, "[>%f]", predicates[index]); - strcat(temp,temp2); - } else { - irr=0; - sprintf(tmp1, "%f", predicates[index]); - sprintf(tmp2, "%f", predicates[index+1]); - sprintf(temp2, "[%s,%s]", tmp1, tmp2); - strcat(temp,temp2); - } - } - } else { - for(j=0;jattributeSize[attIndex];j++) { - if(predicates[index+j]) { - sprintf(temp2,"%s,",ai.getNominalValue(attIndex,j)->cstr()); - strcat(temp,temp2); - } else { - irr=0; - } - } - if(temp[strlen(temp) - 1] == ',') temp[strlen(temp) - 1] = 0; - } - - index+=tReal->attributeSize[attIndex]; - - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,classValue)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_list::crossover_1px(classifier_hyperrect_list * in1, - classifier_hyperrect_list * in2, - classifier_hyperrect_list * out1, - classifier_hyperrect_list * out2) -{ - int i; - - out1->modif = out2->modif = 1; - - if(in1->numAtt==0) { - classifier_hyperrect_list *tmp=in2; - in2=in1; - in1=tmp; - } - - if(in1->numAtt==0) { - out1->whichAtt=new int[out1->numAtt]; - out2->whichAtt=new int[out2->numAtt]; - out1->offsetPredicates=new int[out1->numAtt]; - out2->offsetPredicates=new int[out2->numAtt]; - out1->predicates=new float[out1->ruleSize]; - out2->predicates=new float[out2->ruleSize]; - return; - } - - int pos1=rnd(0,in1->numAtt-1); - int selAtt1=in1->whichAtt[pos1]; - - for(i=0;inumAtt && in2->whichAtt[i]numAtt) { - selAtt2=in2->whichAtt[pos2]; - } else { - selAtt2=-1; - } - - out1->numAtt=pos1+1+(in2->numAtt-pos2); - out2->numAtt=pos2+(in1->numAtt-pos1-1); - if(selAtt1==selAtt2) { - out1->numAtt--; - out2->numAtt++; - } - - out1->whichAtt=new int[out1->numAtt]; - out2->whichAtt=new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - - out1->ruleSize=0; - for(i=0;i<=pos1;i++) { - out1->whichAtt[i]=in1->whichAtt[i]; - out1->offsetPredicates[i]=out1->ruleSize; - out1->ruleSize+=tReal->attributeSize[out1->whichAtt[i]]; - } - int lenp1c1=out1->ruleSize; - int base=pos2; - if(selAtt1==selAtt2) { - base++; - } - for(;inumAtt;i++,base++) { - out1->whichAtt[i]=in2->whichAtt[base]; - out1->offsetPredicates[i]=out1->ruleSize; - out1->ruleSize+=tReal->attributeSize[out1->whichAtt[i]]; - } - - out2->ruleSize=0; - for(i=0;iwhichAtt[i]=in2->whichAtt[i]; - out2->offsetPredicates[i]=out2->ruleSize; - out2->ruleSize+=tReal->attributeSize[out2->whichAtt[i]]; - } - int lenp2c1=out2->ruleSize; - base=pos1; - if(selAtt1!=selAtt2) { - base++; - } - for(;inumAtt;i++,base++) { - out2->whichAtt[i]=in1->whichAtt[base]; - out2->offsetPredicates[i]=out2->ruleSize; - out2->ruleSize+=tReal->attributeSize[out2->whichAtt[i]]; - } - - out1->predicates=new float[out1->ruleSize]; - out2->predicates=new float[out2->ruleSize]; - - bcopy(in1->predicates,out1->predicates,lenp1c1*sizeof(float)); - bcopy(in2->predicates,out2->predicates,lenp2c1*sizeof(float)); - - if(selAtt1==selAtt2) { - int baseP1=in1->offsetPredicates[pos1]; - int baseP2=in2->offsetPredicates[pos2]; - int baseO1=out1->offsetPredicates[pos1]; - int baseO2=out2->offsetPredicates[pos2]; - - if (ai.getTypeOfAttribute(selAtt1) == REAL) { - int cutPoint=rnd(0,2); - if(cutPoint==0) { - out1->predicates[baseO1]=in2->predicates[baseP2]; - out1->predicates[baseO1+1]=in2->predicates[baseP2+1]; - out2->predicates[baseO2]=in1->predicates[baseP1]; - out2->predicates[baseO2+1]=in1->predicates[baseP1+1]; - } else if(cutPoint==1) { - float min1=in1->predicates[baseP1]; - float min2=in2->predicates[baseP2]; - float max1=in2->predicates[baseP2+1]; - float max2=in1->predicates[baseP1+1]; - - if(min1>max1) swapD(min1,max1); - if(min2>max2) swapD(min2,max2); - - out1->predicates[baseO1]=min1; - out1->predicates[baseO1+1]=max1; - out2->predicates[baseO2]=min2; - out2->predicates[baseO2+1]=max2; - } else { - out1->predicates[baseO1]=in1->predicates[baseP1]; - out1->predicates[baseO1+1]=in1->predicates[baseP1+1]; - out2->predicates[baseO2]=in2->predicates[baseP2]; - out2->predicates[baseO2+1]=in2->predicates[baseP2+1]; - } - } else { - int size=tReal->attributeSize[selAtt1]; - int cutPoint=rnd(0,size); - bcopy(&in1->predicates[baseP1], &out1->predicates[baseO1], cutPoint * sizeof(float)); - bcopy(&in2->predicates[baseP2], &out2->predicates[baseO2], cutPoint * sizeof(float)); - - bcopy(&in1->predicates[baseP1+cutPoint], &out2->predicates[baseO2+cutPoint] - , (size-cutPoint) * sizeof(float)); - bcopy(&in2->predicates[baseP2+cutPoint], &out1->predicates[baseO1+cutPoint] - , (size-cutPoint) * sizeof(float)); - } - pos2++; - } else { - int base1=in1->offsetPredicates[pos1]; - out1->whichAtt[pos1]=selAtt1; - bcopy(&in1->predicates[base1],&out1->predicates[base1],tReal->attributeSize[selAtt1]*sizeof(float)); - } - - pos1++; - if(pos1numAtt) { - bcopy(&in1->predicates[in1->offsetPredicates[pos1]] - ,&out2->predicates[out2->offsetPredicates[pos2]] - ,(in1->ruleSize-in1->offsetPredicates[pos1])*sizeof(float)); - } - if(pos2numAtt) { - bcopy(&in2->predicates[in2->offsetPredicates[pos2]] - ,&out1->predicates[out1->offsetPredicates[pos1]] - ,(in2->ruleSize-in2->offsetPredicates[pos2])*sizeof(float)); - } - - - if(!rnd<0.5) { - out1->classValue=in1->classValue; - out2->classValue=in2->classValue; - } else { - out1->classValue=in2->classValue; - out2->classValue=in1->classValue; - } -} - -void classifier_hyperrect_list::postprocess() -{ -} - -void classifier_hyperrect_list::doSpecialStage(int stage) -{ - int i; - - if(stage==0) { //Generalize - if(numAtt>0 && !rndprobGeneralizeList) { - int attribute=rnd(0,numAtt-1); - int deletedSize=tReal->attributeSize[whichAtt[attribute]]; - - int *newWhichAtt = new int[numAtt-1]; - int *newOffsetPredicates = new int[numAtt-1]; - float *newPredicates = new float[ruleSize-deletedSize]; - - bcopy(whichAtt,newWhichAtt,attribute*sizeof(int)); - bcopy(offsetPredicates,newOffsetPredicates,attribute*sizeof(int)); - bcopy(predicates,newPredicates,offsetPredicates[attribute]*sizeof(float)); - - if(attribute!=numAtt-1) { - bcopy(&whichAtt[attribute+1],&newWhichAtt[attribute],(numAtt-attribute-1)*sizeof(int)); - bcopy(&offsetPredicates[attribute+1],&newOffsetPredicates[attribute] - ,(numAtt-attribute-1)*sizeof(int)); - bcopy(&predicates[offsetPredicates[attribute+1]],&newPredicates[offsetPredicates[attribute]] - ,(ruleSize-offsetPredicates[attribute+1])*sizeof(float)); - } - - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt--; - ruleSize-=deletedSize; - - for(i=attribute;inumAttributesMC && !rndprobSpecializeList) { - int attMap[tGlobals->numAttributesMC]; - bzero(attMap,tGlobals->numAttributesMC*sizeof(int)); - for(i=0;inumAttributesMC-1); - } while(attMap[selectedAtt]==1); - - int addedSize=tReal->attributeSize[selectedAtt]; - int *newWhichAtt = new int[numAtt+1]; - int *newOffsetPredicates = new int[numAtt+1]; - float *newPredicates = new float[ruleSize+addedSize]; - - int index=0,index2=0; - while(indexattributeSize[whichAtt[index]]*sizeof(float)); - index2+=tReal->attributeSize[whichAtt[index]]; - index++; - } - newWhichAtt[index]=selectedAtt; - newOffsetPredicates[index]=index2; - - if (ai.getTypeOfAttribute(selectedAtt) == REAL) { - float sizeD=ai.getSizeDomain(selectedAtt); - float minD=ai.getMinDomain(selectedAtt); - float maxD=ai.getMaxDomain(selectedAtt); - float size=(!rnd*0.5+0.25)*sizeD; - float min=!rnd*(sizeD-size)+minD; - float max=min+size; - newPredicates[index2]=min; - newPredicates[index2+1]=max; - } else { - for(i=0;iattributeSize[selectedAtt];i++) { - if(!rndprobOne) { - newPredicates[index2+i]=1; - } else { - newPredicates[index2+i]=0; - } - } - - } - - if(index!=numAtt) { - bcopy(&whichAtt[index],&newWhichAtt[index+1],(numAtt-index)*sizeof(int)); - bcopy(&offsetPredicates[index],&newOffsetPredicates[index+1],(numAtt-index)*sizeof(int)); - bcopy(&predicates[index2],&newPredicates[index2+addedSize] - ,(ruleSize-offsetPredicates[index])*sizeof(float)); - } - - delete whichAtt; - whichAtt= newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt++; - ruleSize+=addedSize; - - for(i=index+1;i discrete; - JVector real; - - for(i=0;irealValues[listRealAtt[i]]; - if(valuepredicates[base+1]) return 0; - } - - for(i=0;irealValues[listDiscreteAtt[i]]; - if(predicates[base+value]==0) return 0; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 2;} - void doSpecialStage(int); - - void postprocess(); - - void initiateEval(); - void finalizeEval(); - - -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect_list_discrete.cpp b/comparison_algs_src/BioHEL/classifier_hyperrect_list_discrete.cpp deleted file mode 100644 index 521ad16..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect_list_discrete.cpp +++ /dev/null @@ -1,667 +0,0 @@ -#include "classifier_hyperrect_list_discrete.h" -#include "random.h" -#include -#include -#include -#include -#include - -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -using namespace std; - -double classifier_hyperrect_list_discrete::computeTheoryLength() { - int i, j, base; - theoryLength = 0.0; - - float *ptr = predicates; - - for (i = 0; i < numAtt; i++) { - int att = whichAtt[i]; - - double countFalses = 0; - int numValues = tReal->attributeSize[att]; - for (j = 0; j < numValues; j++) { - if (!ptr[j]) - countFalses++; - } - theoryLength += (double) countFalses / (double) numValues; - - ptr += tReal->attributeSize[att]; - } - theoryLength /= (double) tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_list_discrete::classifier_hyperrect_list_discrete(int numRep) { - classifier_hyperrect_list_discrete::initializeChromosomeNumRep(numRep); -} - -classifier_hyperrect_list_discrete::classifier_hyperrect_list_discrete( - const classifier_hyperrect_list_discrete & orig, int son) { - *this = orig; - - if (!son) { - whichAtt = new int[numAtt]; - bcopy(orig.whichAtt, whichAtt, numAtt * sizeof(int)); - - offsetPredicates = new int[numAtt]; - bcopy(orig.offsetPredicates, offsetPredicates, numAtt * sizeof(int)); - - predicates = new float[ruleSize]; - bcopy(orig.predicates, predicates, ruleSize * sizeof(float)); - } else { - whichAtt = NULL; - predicates = NULL; - offsetPredicates = NULL; - } -} - -classifier_hyperrect_list_discrete::~classifier_hyperrect_list_discrete() { - delete whichAtt; - delete predicates; - delete offsetPredicates; -} - -void classifier_hyperrect_list_discrete::initializeChromosome(int empty) { - int i, j, base; - - instance *ins = NULL; - if (tGlobals->smartInit) { - if (tGlobals->defaultClassPolicy != DISABLED) { - ins = is->getInstanceInit(tGlobals->defaultClass); - } else { - ins = is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize = 0; - if (!empty) { - for (i = 0; i < tGlobals->numAttributesMC; i++) { - if (!rnd >= tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize += tReal->attributeSize[i]; - } - } - } - - numAtt = selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for (i = 0, base = 0; i < numAtt; i++) { - offsetPredicates[i] = base; - int att = selectedAtts[i]; - whichAtt[i] = att; - - int value; - if (ins) - value = (unsigned char) ins->realValues[att]; - else - value = -1; - for (j = 0; j < tReal->attributeSize[att]; j++) { - - if (j != value) { - - if (!rnd < tGlobals->probOne) { - - predicates[base + j] = 1; - } else { - predicates[base + j] = 0; - } - } else { - predicates[base + j] = 1; - } - } - - base += tReal->attributeSize[att]; - } - - if(!empty) { - if (ins) { - classValue = ins->getClass(); - } else { - do { - classValue = rnd(0, ai.getNumClasses() - 1); - } while (tGlobals->defaultClassPolicy != DISABLED && classValue - == tGlobals->defaultClass); - } - } else { - if(tGlobals->defaultClassPolicy != DISABLED) { - classValue=is->getMajorityClassExcept(tGlobals->defaultClass); - } else { - classValue=is->getMajorityClass(); - } - } -} - -void classifier_hyperrect_list_discrete::initializeChromosomeNumRep(int numRep) { - int i, j, base; - - //printf("Numrep %d\n",numRep); - instance *ins = NULL; - if (tGlobals->smartInit) { - if (tGlobals->defaultClassPolicy != DISABLED) { - ins = is->getInstanceInit(tGlobals->defaultClass); - } else { - ins = is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize = 0; - - JVector ind3; - if(numRep == -1) { - for (i = 0; i < tGlobals->numAttributesMC; i++) { - if (!rnd >= tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize += tReal->attributeSize[i]; - } - } } - else { - - - for (int h=0; h < tGlobals->numAttributesMC; h++) { - - ind3.addElement(h); - } - - for (i=0; i < numRep; i++) { - int index=rnd(0,tGlobals->numAttributesMC-i-1); - int index2 = ind3[index]; - - selectedAtts.addElement(index2); - ind3.removeElement(index2); - ruleSize += tReal->attributeSize[index2]; - - } - - - } - - - numAtt = selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for (i = 0, base = 0; i < numAtt; i++) { - offsetPredicates[i] = base; - int att = selectedAtts[i]; - whichAtt[i] = att; - - int value; - if (ins) - value = (unsigned char) ins->realValues[att]; - else - value = -1; - - - - if (numRep == -1) { - - for (j = 0; j < tReal->attributeSize[att]; j++) { - if (j != value) { - if (!rnd < tGlobals->probOne) { - //cout << "1"; - predicates[base + j] = 1; - } else { - //cout << "0"; - predicates[base + j] = 0; - } - } else { - predicates[base + j] = 1; - } - - } - //cout <<"|"; - - } - else{ - //It does not work for copying an instance - int index = rnd(0,tReal->attributeSize[att]-1); - - for (j = 0; j < tReal->attributeSize[att]; j++) { - if (j != index) { - - predicates[base + j] = 0; - } else { - - predicates[base + j] = 1; - } - } - - - - } - - base += tReal->attributeSize[att]; - } - - - if(numRep==-1) { - if (ins) { - classValue = ins->getClass(); - } else { - do { - classValue = rnd(0, ai.getNumClasses() - 1); - } while (tGlobals->defaultClassPolicy != DISABLED && classValue - == tGlobals->defaultClass); - } - } else { - if(tGlobals->defaultClassPolicy != DISABLED) { - classValue=is->getMajorityClassExcept(tGlobals->defaultClass); - } else { - classValue=is->getMajorityClass(); - } - } - -// cout << " **** "; -// -// char phenotype[100000]; -// dumpPhenotype(phenotype); -// printf("%s", phenotype); - -} - -void classifier_hyperrect_list_discrete::crossover(classifier * in, - classifier * out1, classifier * out2) { - crossover_1px(this, (classifier_hyperrect_list_discrete *) in, - (classifier_hyperrect_list_discrete *) out1, - (classifier_hyperrect_list_discrete *) out2); -} - -float classifier_hyperrect_list_discrete::mutationOffset(float geneValue, - float offsetMin, float offsetMax) { - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_list_discrete::mutation() { - int i; - int attribute, value, attIndex; - - modif = 1; - - if (tGlobals->numClasses > 1 && !rnd < 0.10) { - int newValue; - do { - newValue = rnd(0, ai.getNumClasses() - 1); - } while (newValue == classValue || tGlobals->defaultClassPolicy - != DISABLED && newValue == tGlobals->defaultClass); - classValue = newValue; -} else { - if (numAtt > 0) { - attIndex = rnd(0, numAtt - 1); - attribute = whichAtt[attIndex]; - value = rnd(0, tReal->attributeSize[attribute] - 1); - int index = offsetPredicates[attIndex] + value; - - if (predicates[index] == 1) - predicates[index] = 0; - else - predicates[index] = 1; - - } -} -} - -void classifier_hyperrect_list_discrete::dumpPhenotype(char *string) { - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int i, j, index; - - strcpy(string, ""); - for (i = 0, index = 0; i < numAtt; i++) { - int attIndex = whichAtt[i]; - sprintf(temp, "Att %s is ", ai.getAttributeName(attIndex)->cstr()); - int irr = 1; - - for (j = 0; j < tReal->attributeSize[attIndex]; j++) { - if (predicates[index + j]) { - sprintf(temp2, "%s,", ai.getNominalValue(attIndex, j)->cstr()); - strcat(temp, temp2); - } else { - irr = 0; - } - } - if (temp[strlen(temp) - 1] == ',') - temp[strlen(temp) - 1] = 0; - - index += tReal->attributeSize[attIndex]; - - if (!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC, - classValue)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_list_discrete::crossover_1px( - classifier_hyperrect_list_discrete * in1, - classifier_hyperrect_list_discrete * in2, - classifier_hyperrect_list_discrete * out1, - classifier_hyperrect_list_discrete * out2) { - int i; - - out1->modif = out2->modif = 1; - - if (in1->numAtt == 0) { - classifier_hyperrect_list_discrete *tmp = in2; - in2 = in1; - in1 = tmp; - } - - if (in1->numAtt == 0) { - out1->whichAtt = new int[out1->numAtt]; - out2->whichAtt = new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - out1->predicates = new float[out1->ruleSize]; - out2->predicates = new float[out2->ruleSize]; - return; - } - - int pos1 = rnd(0, in1->numAtt - 1); - int selAtt1 = in1->whichAtt[pos1]; - - for (i = 0; i < in2->numAtt && in2->whichAtt[i] < selAtt1; i++) - ; - int pos2 = i; - int selAtt2; - if (pos2 != in2->numAtt) { - selAtt2 = in2->whichAtt[pos2]; - } else { - selAtt2 = -1; - } - - out1->numAtt = pos1 + 1 + (in2->numAtt - pos2); - out2->numAtt = pos2 + (in1->numAtt - pos1 - 1); - if (selAtt1 == selAtt2) { - out1->numAtt--; - out2->numAtt++; - } - - out1->whichAtt = new int[out1->numAtt]; - out2->whichAtt = new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - - out1->ruleSize = 0; - for (i = 0; i <= pos1; i++) { - out1->whichAtt[i] = in1->whichAtt[i]; - out1->offsetPredicates[i] = out1->ruleSize; - out1->ruleSize += tReal->attributeSize[out1->whichAtt[i]]; - } - int lenp1c1 = out1->ruleSize; - int base = pos2; - if (selAtt1 == selAtt2) { - base++; - } - for (; i < out1->numAtt; i++, base++) { - out1->whichAtt[i] = in2->whichAtt[base]; - out1->offsetPredicates[i] = out1->ruleSize; - out1->ruleSize += tReal->attributeSize[out1->whichAtt[i]]; - } - - out2->ruleSize = 0; - for (i = 0; i < pos2; i++) { - out2->whichAtt[i] = in2->whichAtt[i]; - out2->offsetPredicates[i] = out2->ruleSize; - out2->ruleSize += tReal->attributeSize[out2->whichAtt[i]]; - } - int lenp2c1 = out2->ruleSize; - base = pos1; - if (selAtt1 != selAtt2) { - base++; - } - for (; i < out2->numAtt; i++, base++) { - out2->whichAtt[i] = in1->whichAtt[base]; - out2->offsetPredicates[i] = out2->ruleSize; - out2->ruleSize += tReal->attributeSize[out2->whichAtt[i]]; - } - - out1->predicates = new float[out1->ruleSize]; - out2->predicates = new float[out2->ruleSize]; - - bcopy(in1->predicates, out1->predicates, lenp1c1 * sizeof(float)); - bcopy(in2->predicates, out2->predicates, lenp2c1 * sizeof(float)); - - if (selAtt1 == selAtt2) { - int baseP1 = in1->offsetPredicates[pos1]; - int baseP2 = in2->offsetPredicates[pos2]; - int baseO1 = out1->offsetPredicates[pos1]; - int baseO2 = out2->offsetPredicates[pos2]; - - int size = tReal->attributeSize[selAtt1]; - int cutPoint = rnd(0, size); - bcopy(&in1->predicates[baseP1], &out1->predicates[baseO1], cutPoint - * sizeof(float)); - bcopy(&in2->predicates[baseP2], &out2->predicates[baseO2], cutPoint - * sizeof(float)); - - bcopy(&in1->predicates[baseP1 + cutPoint], &out2->predicates[baseO2 - + cutPoint], (size - cutPoint) * sizeof(float)); - bcopy(&in2->predicates[baseP2 + cutPoint], &out1->predicates[baseO1 - + cutPoint], (size - cutPoint) * sizeof(float)); - - pos2++; - } else { - int base1 = in1->offsetPredicates[pos1]; - out1->whichAtt[pos1] = selAtt1; - bcopy(&in1->predicates[base1], &out1->predicates[base1], - tReal->attributeSize[selAtt1] * sizeof(float)); - } - - pos1++; - if (pos1 < in1->numAtt) { - bcopy(&in1->predicates[in1->offsetPredicates[pos1]], - &out2->predicates[out2->offsetPredicates[pos2]], (in1->ruleSize - - in1->offsetPredicates[pos1]) * sizeof(float)); - } - if (pos2 < in2->numAtt) { - bcopy(&in2->predicates[in2->offsetPredicates[pos2]], - &out1->predicates[out1->offsetPredicates[pos1]], (in2->ruleSize - - in2->offsetPredicates[pos2]) * sizeof(float)); - } - - if (!rnd < 0.5) { - out1->classValue = in1->classValue; - out2->classValue = in2->classValue; - } else { - out1->classValue = in2->classValue; - out2->classValue = in1->classValue; - } -} - -void classifier_hyperrect_list_discrete::postprocess() { -} - -void classifier_hyperrect_list_discrete::doSpecialStage(int stage) { - int i; - - if (stage == 0) { //Generalize - if (numAtt > 0 && !rnd < tReal->probGeneralizeList) { - int attribute = rnd(0, numAtt - 1); - int deletedSize = tReal->attributeSize[whichAtt[attribute]]; - - int *newWhichAtt = new int[numAtt - 1]; - int *newOffsetPredicates = new int[numAtt - 1]; - float *newPredicates = new float[ruleSize - deletedSize]; - - bcopy(whichAtt, newWhichAtt, attribute * sizeof(int)); - bcopy(offsetPredicates, newOffsetPredicates, attribute - * sizeof(int)); - bcopy(predicates, newPredicates, offsetPredicates[attribute] - * sizeof(float)); - - if (attribute != numAtt - 1) { - bcopy(&whichAtt[attribute + 1], &newWhichAtt[attribute], - (numAtt - attribute - 1) * sizeof(int)); - bcopy(&offsetPredicates[attribute + 1], - &newOffsetPredicates[attribute], (numAtt - attribute - - 1) * sizeof(int)); - bcopy(&predicates[offsetPredicates[attribute + 1]], - &newPredicates[offsetPredicates[attribute]], (ruleSize - - offsetPredicates[attribute + 1]) - * sizeof(float)); - } - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt--; - ruleSize -= deletedSize; - - for (i = attribute; i < numAtt; i++) { - offsetPredicates[i] -= deletedSize; - } - } - } else { //Specialize - if (numAtt < tGlobals->numAttributesMC && !rnd - < tReal->probSpecializeList) { - int attMap[tGlobals->numAttributesMC]; - bzero(attMap, tGlobals->numAttributesMC * sizeof(int)); - for (i = 0; i < numAtt; i++) { - attMap[whichAtt[i]] = 1; - } - - int selectedAtt; - do { - selectedAtt = rnd(0, tGlobals->numAttributesMC - 1); - } while (attMap[selectedAtt] == 1); - - int addedSize = tReal->attributeSize[selectedAtt]; - int *newWhichAtt = new int[numAtt + 1]; - int *newOffsetPredicates = new int[numAtt + 1]; - float *newPredicates = new float[ruleSize + addedSize]; - - int index = 0, index2 = 0; - while (index < numAtt && whichAtt[index] < selectedAtt) { - newWhichAtt[index] = whichAtt[index]; - newOffsetPredicates[index] = offsetPredicates[index]; - bcopy(&predicates[index2], &newPredicates[index2], - tReal->attributeSize[whichAtt[index]] * sizeof(float)); - index2 += tReal->attributeSize[whichAtt[index]]; - index++; - } - newWhichAtt[index] = selectedAtt; - newOffsetPredicates[index] = index2; - - for (i = 0; i < tReal->attributeSize[selectedAtt]; i++) { - if (!rnd < tGlobals->probOne) { - newPredicates[index2 + i] = 1; - } else { - newPredicates[index2 + i] = 0; - } - } - - if (index != numAtt) { - bcopy(&whichAtt[index], &newWhichAtt[index + 1], (numAtt - - index) * sizeof(int)); - bcopy(&offsetPredicates[index], - &newOffsetPredicates[index + 1], (numAtt - index) - * sizeof(int)); - bcopy(&predicates[index2], &newPredicates[index2 + addedSize], - (ruleSize - offsetPredicates[index]) * sizeof(float)); - } - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt++; - ruleSize += addedSize; - - for (i = index + 1; i < numAtt; i++) { - offsetPredicates[i] += addedSize; - } - } - } -} - -void classifier_hyperrect_list_discrete::initiateEval() { - int i; - JVector discrete; - - for (i = 0; i < numAtt; i++) { - int att = whichAtt[i]; - - discrete.addElement(i); - - } - - numDiscrete = discrete.size(); - listDiscretePos = new int[numDiscrete]; - listDiscreteAtt = new int[numDiscrete]; - for (i = 0; i < numDiscrete; i++) { - listDiscretePos[i] = discrete[i]; - listDiscreteAtt[i] = whichAtt[listDiscretePos[i]]; - } -} - -void classifier_hyperrect_list_discrete::finalizeEval() { - - delete listDiscreteAtt; - delete listDiscretePos; -} - -int classifier_hyperrect_list_discrete::equals(classifier *ind2) { - classifier_hyperrect_list_discrete *i2 = (classifier_hyperrect_list_discrete *) ind2; - - int index, i, j; - for (i = 0, index = 0; i < numAtt; i++) { - int attIndex = whichAtt[i]; - - for (j = 0; j < tReal->attributeSize[attIndex]; j++) { - //printf("Ind pred %d %f %f\n", index+j, predicates[index + j], i2->predicates[index + j]); - if (predicates[index + j] != i2->predicates[index+j]) { - return 0; - } - } - - //printf("Ind Sali\n"); - index += tReal->attributeSize[attIndex]; - - } - - return 1; -} - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect_list_discrete.h b/comparison_algs_src/BioHEL/classifier_hyperrect_list_discrete.h deleted file mode 100644 index 44ea3aa..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect_list_discrete.h +++ /dev/null @@ -1,96 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_LIST_DISCRETE_ -#define _CLASSIFIER_HYPERRECT_LIST_DISCRETE_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -extern attributesInfo ai; -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_list_discrete: public classifier { - - void crossover_1px(classifier_hyperrect_list_discrete *in1,classifier_hyperrect_list_discrete *in2 - ,classifier_hyperrect_list_discrete *out1,classifier_hyperrect_list_discrete *out2); - float mutationOffset(float geneValue,float offsetMin,float offsetMax); - void initializeChromosome(int empty=0); - void initializeChromosomeNumRep(int numRep); - -public: - float *predicates; - int *offsetPredicates; - int numAtt; - int *whichAtt; - int classValue; - int ruleSize; - int numDiscrete; - int *listDiscretePos; - int *listDiscreteAtt; - - - classifier_hyperrect_list_discrete(int numRep=-1); - classifier_hyperrect_list_discrete(const classifier_hyperrect_list_discrete &orig,int son=0); - ~classifier_hyperrect_list_discrete(); - - inline void swapD(float &a,float &b) { - float temp=a; - a=b; - b=temp; - } - - - inline int getClass() { - return classValue; - } - - inline int doMatch(instance * ins) - { - int i; - - for(i=0;irealValues[listDiscreteAtt[i]]; - if(predicates[base+value]==0) return 0; - } - - /*for(i=0;ievaluators[att]->evaluate(&predicates[base],ins->realValues[att])) return 0;*/ - /*if (ai.getTypeOfAttribute(att) == REAL) { - register float value=ins->realValues[att]; - if(valuepredicates[base+1]) return 0; - } else { - register int value=(unsigned char)ins->realValues[att]; - if(predicates[base+value]==0) return 0; - }*/ - //} - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 2;} - void doSpecialStage(int); - - void postprocess(); - - void initiateEval(); - void finalizeEval(); - - int equals(classifier *ind2); - - inline int getNumAtts() { - printf("this num att\n"); - return numAtt; - } - -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect_list_real.cpp b/comparison_algs_src/BioHEL/classifier_hyperrect_list_real.cpp deleted file mode 100644 index f54fbfe..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect_list_real.cpp +++ /dev/null @@ -1,506 +0,0 @@ -#include "classifier_hyperrect_list_real.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect_list_real::computeTheoryLength() -{ - int i,j,base; - theoryLength = 0.0; - - float *ptr=predicates; - - for(i=0;i0) { - theoryLength += 1.0 - (ptr[1]-ptr[0])/size; - } - ptr+=tReal->attributeSize[att]; - } - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_list_real::classifier_hyperrect_list_real() -{ - classifier_hyperrect_list_real::initializeChromosome(); -} - -classifier_hyperrect_list_real::classifier_hyperrect_list_real(const classifier_hyperrect_list_real & orig, int son) -{ - *this = orig; - - if (!son) { - whichAtt = new int[numAtt]; - bcopy(orig.whichAtt, whichAtt, numAtt * sizeof(int)); - - offsetPredicates = new int[numAtt]; - bcopy(orig.offsetPredicates, offsetPredicates, numAtt * sizeof(int)); - - predicates = new float[ruleSize]; - bcopy(orig.predicates, predicates, ruleSize * sizeof(float)); - } else { - whichAtt = NULL; - predicates = NULL; - offsetPredicates=NULL; - } -} - -classifier_hyperrect_list_real::~classifier_hyperrect_list_real() -{ - delete whichAtt; - delete predicates; - delete offsetPredicates; -} - -void classifier_hyperrect_list_real::initializeChromosome() -{ - int i,j,base; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize=0; - for(i=0;inumAttributesMC;i++) { - if(!rnd>=tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize+=tReal->attributeSize[i]; - } - } - - numAtt=selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for(i=0,base=0;irealValues[att]; - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - - predicates[base]=min; - predicates[base+1]=max; - - base+=tReal->attributeSize[att]; - } - - if(ins) { - classValue=ins->getClass(); - } else { - do { - classValue=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && classValue==tGlobals->defaultClass); - } -} - -void classifier_hyperrect_list_real::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect_list_real *) in, - (classifier_hyperrect_list_real *) out1, - (classifier_hyperrect_list_real *) out2); -} - -float classifier_hyperrect_list_real::mutationOffset(float geneValue, float offsetMin, - float offsetMax) -{ - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_list_real::mutation() -{ - int i; - int attribute, value,attIndex; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - int newValue; - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == classValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - classValue=newValue; - } else { - if(numAtt>0) { - attIndex=rnd(0,numAtt-1); - attribute=whichAtt[attIndex]; - value=rnd(0,tReal->attributeSize[attribute]-1); - int index=offsetPredicates[attIndex]+value; - - float newValue,minOffset,maxOffset; - minOffset = maxOffset = 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(predicates[index], minOffset, maxOffset); - if (newValue < ai.getMinDomain(attribute)) newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) newValue = ai.getMaxDomain(attribute); - predicates[index]=newValue; - if(value) index--; - if(predicates[index]>predicates[index+1]) { - swapD(predicates[index],predicates[index+1]); - } - } - } -} - -void classifier_hyperrect_list_real::dumpPhenotype(char *string) -{ - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int i,j,index; - - strcpy(string, ""); - for (i = 0,index=0; i < numAtt; i++) { - int attIndex=whichAtt[i]; - sprintf(temp,"Att %s is " ,ai.getAttributeName(attIndex)->cstr()); - int irr=1; - - float minD=ai.getMinDomain(attIndex); - float maxD=ai.getMaxDomain(attIndex); - if(predicates[index]==minD) { - if(predicates[index+1]==maxD) { - // do nothing - } else { - irr=0; - sprintf(temp2, "[<%f]", predicates[index+1]); - strcat(temp,temp2); - } - } else { - if(predicates[index+1]==maxD) { - irr=0; - sprintf(temp2, "[>%f]", predicates[index]); - strcat(temp,temp2); - } else { - irr=0; - sprintf(tmp1, "%f", predicates[index]); - sprintf(tmp2, "%f", predicates[index+1]); - sprintf(temp2, "[%s,%s]", tmp1, tmp2); - strcat(temp,temp2); - } - } - - index+=tReal->attributeSize[attIndex]; - - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,classValue)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_list_real::crossover_1px(classifier_hyperrect_list_real * in1, - classifier_hyperrect_list_real * in2, - classifier_hyperrect_list_real * out1, - classifier_hyperrect_list_real * out2) -{ - int i; - - out1->modif = out2->modif = 1; - - if(in1->numAtt==0) { - classifier_hyperrect_list_real *tmp=in2; - in2=in1; - in1=tmp; - } - - if(in1->numAtt==0) { - out1->whichAtt=new int[out1->numAtt]; - out2->whichAtt=new int[out2->numAtt]; - out1->offsetPredicates=new int[out1->numAtt]; - out2->offsetPredicates=new int[out2->numAtt]; - out1->predicates=new float[out1->ruleSize]; - out2->predicates=new float[out2->ruleSize]; - return; - } - - int pos1=rnd(0,in1->numAtt-1); - int selAtt1=in1->whichAtt[pos1]; - - for(i=0;inumAtt && in2->whichAtt[i]numAtt) { - selAtt2=in2->whichAtt[pos2]; - } else { - selAtt2=-1; - } - - out1->numAtt=pos1+1+(in2->numAtt-pos2); - out2->numAtt=pos2+(in1->numAtt-pos1-1); - if(selAtt1==selAtt2) { - out1->numAtt--; - out2->numAtt++; - } - - out1->whichAtt=new int[out1->numAtt]; - out2->whichAtt=new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - - out1->ruleSize=0; - for(i=0;i<=pos1;i++) { - out1->whichAtt[i]=in1->whichAtt[i]; - out1->offsetPredicates[i]=out1->ruleSize; - out1->ruleSize+=tReal->attributeSize[out1->whichAtt[i]]; - } - int lenp1c1=out1->ruleSize; - int base=pos2; - if(selAtt1==selAtt2) { - base++; - } - for(;inumAtt;i++,base++) { - out1->whichAtt[i]=in2->whichAtt[base]; - out1->offsetPredicates[i]=out1->ruleSize; - out1->ruleSize+=tReal->attributeSize[out1->whichAtt[i]]; - } - - out2->ruleSize=0; - for(i=0;iwhichAtt[i]=in2->whichAtt[i]; - out2->offsetPredicates[i]=out2->ruleSize; - out2->ruleSize+=tReal->attributeSize[out2->whichAtt[i]]; - } - int lenp2c1=out2->ruleSize; - base=pos1; - if(selAtt1!=selAtt2) { - base++; - } - for(;inumAtt;i++,base++) { - out2->whichAtt[i]=in1->whichAtt[base]; - out2->offsetPredicates[i]=out2->ruleSize; - out2->ruleSize+=tReal->attributeSize[out2->whichAtt[i]]; - } - - out1->predicates=new float[out1->ruleSize]; - out2->predicates=new float[out2->ruleSize]; - - bcopy(in1->predicates,out1->predicates,lenp1c1*sizeof(float)); - bcopy(in2->predicates,out2->predicates,lenp2c1*sizeof(float)); - - if(selAtt1==selAtt2) { - int baseP1=in1->offsetPredicates[pos1]; - int baseP2=in2->offsetPredicates[pos2]; - int baseO1=out1->offsetPredicates[pos1]; - int baseO2=out2->offsetPredicates[pos2]; - - int cutPoint=rnd(0,2); - if(cutPoint==0) { - out1->predicates[baseO1]=in2->predicates[baseP2]; - out1->predicates[baseO1+1]=in2->predicates[baseP2+1]; - out2->predicates[baseO2]=in1->predicates[baseP1]; - out2->predicates[baseO2+1]=in1->predicates[baseP1+1]; - } else if(cutPoint==1) { - float min1=in1->predicates[baseP1]; - float min2=in2->predicates[baseP2]; - float max1=in2->predicates[baseP2+1]; - float max2=in1->predicates[baseP1+1]; - - if(min1>max1) swapD(min1,max1); - if(min2>max2) swapD(min2,max2); - - out1->predicates[baseO1]=min1; - out1->predicates[baseO1+1]=max1; - out2->predicates[baseO2]=min2; - out2->predicates[baseO2+1]=max2; - } else { - out1->predicates[baseO1]=in1->predicates[baseP1]; - out1->predicates[baseO1+1]=in1->predicates[baseP1+1]; - out2->predicates[baseO2]=in2->predicates[baseP2]; - out2->predicates[baseO2+1]=in2->predicates[baseP2+1]; - } - pos2++; - } else { - int base1=in1->offsetPredicates[pos1]; - out1->whichAtt[pos1]=selAtt1; - bcopy(&in1->predicates[base1],&out1->predicates[base1],tReal->attributeSize[selAtt1]*sizeof(float)); - } - - pos1++; - if(pos1numAtt) { - bcopy(&in1->predicates[in1->offsetPredicates[pos1]] - ,&out2->predicates[out2->offsetPredicates[pos2]] - ,(in1->ruleSize-in1->offsetPredicates[pos1])*sizeof(float)); - } - if(pos2numAtt) { - bcopy(&in2->predicates[in2->offsetPredicates[pos2]] - ,&out1->predicates[out1->offsetPredicates[pos1]] - ,(in2->ruleSize-in2->offsetPredicates[pos2])*sizeof(float)); - } - - - if(!rnd<0.5) { - out1->classValue=in1->classValue; - out2->classValue=in2->classValue; - } else { - out1->classValue=in2->classValue; - out2->classValue=in1->classValue; - } -} - -void classifier_hyperrect_list_real::postprocess() -{ -} - -void classifier_hyperrect_list_real::doSpecialStage(int stage) -{ - int i; - - if(stage==0) { //Generalize - if(numAtt>0 && !rndprobGeneralizeList) { - int attribute=rnd(0,numAtt-1); - int deletedSize=tReal->attributeSize[whichAtt[attribute]]; - - int *newWhichAtt = new int[numAtt-1]; - int *newOffsetPredicates = new int[numAtt-1]; - float *newPredicates = new float[ruleSize-deletedSize]; - - bcopy(whichAtt,newWhichAtt,attribute*sizeof(int)); - bcopy(offsetPredicates,newOffsetPredicates,attribute*sizeof(int)); - bcopy(predicates,newPredicates,offsetPredicates[attribute]*sizeof(float)); - - if(attribute!=numAtt-1) { - bcopy(&whichAtt[attribute+1],&newWhichAtt[attribute],(numAtt-attribute-1)*sizeof(int)); - bcopy(&offsetPredicates[attribute+1],&newOffsetPredicates[attribute] - ,(numAtt-attribute-1)*sizeof(int)); - bcopy(&predicates[offsetPredicates[attribute+1]],&newPredicates[offsetPredicates[attribute]] - ,(ruleSize-offsetPredicates[attribute+1])*sizeof(float)); - } - - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt--; - ruleSize-=deletedSize; - - for(i=attribute;inumAttributesMC && !rndprobSpecializeList) { - int attMap[tGlobals->numAttributesMC]; - bzero(attMap,tGlobals->numAttributesMC*sizeof(int)); - for(i=0;inumAttributesMC-1); - } while(attMap[selectedAtt]==1); - - int addedSize=tReal->attributeSize[selectedAtt]; - int *newWhichAtt = new int[numAtt+1]; - int *newOffsetPredicates = new int[numAtt+1]; - float *newPredicates = new float[ruleSize+addedSize]; - - int index=0,index2=0; - while(indexattributeSize[whichAtt[index]]*sizeof(float)); - index2+=tReal->attributeSize[whichAtt[index]]; - index++; - } - newWhichAtt[index]=selectedAtt; - newOffsetPredicates[index]=index2; - - float sizeD=ai.getSizeDomain(selectedAtt); - float minD=ai.getMinDomain(selectedAtt); - float maxD=ai.getMaxDomain(selectedAtt); - float size=(!rnd*0.5+0.25)*sizeD; - float min=!rnd*(sizeD-size)+minD; - float max=min+size; - newPredicates[index2]=min; - newPredicates[index2+1]=max; - - if(index!=numAtt) { - bcopy(&whichAtt[index],&newWhichAtt[index+1],(numAtt-index)*sizeof(int)); - bcopy(&offsetPredicates[index],&newOffsetPredicates[index+1],(numAtt-index)*sizeof(int)); - bcopy(&predicates[index2],&newPredicates[index2+addedSize] - ,(ruleSize-offsetPredicates[index])*sizeof(float)); - } - - delete whichAtt; - whichAtt= newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt++; - ruleSize+=addedSize; - - for(i=index+1;i - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_list_real: public classifier { - - void crossover_1px(classifier_hyperrect_list_real *in1,classifier_hyperrect_list_real *in2 - ,classifier_hyperrect_list_real *out1,classifier_hyperrect_list_real *out2); - float mutationOffset(float geneValue,float offsetMin,float offsetMax); - void initializeChromosome(void); - -public: - float *predicates; - int *offsetPredicates; - int numAtt; - int *whichAtt; - int classValue; - int ruleSize; - - classifier_hyperrect_list_real(); - classifier_hyperrect_list_real(const classifier_hyperrect_list_real &orig,int son=0); - ~classifier_hyperrect_list_real(); - - inline void swapD(float &a,float &b) { - float temp=a; - a=b; - b=temp; - } - - - - inline int getClass() { - return classValue; - } - - - - inline int doMatch(instance * ins) - { - int i,base; - - for(i=0;irealValues[att]; - if(valuepredicates[base+1]) return 0; - } - return 1; - } - - inline virtual float * getPredicates() { - return predicates; - } - - inline virtual int * getWhichAtt() { - return whichAtt; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 2;} - void doSpecialStage(int); - - double getSizePercentage() { - float size=1; - - int i,j,index; - for (i = 0; i < numAtt; i++) { - int attIndex=whichAtt[i]; - int base=offsetPredicates[i]; - float maxSize=ai.getSizeDomain(attIndex); - - //printf("maxSize %f %f %f\n", maxSize, (predicates[base+1] - predicates[base]), (predicates[base+1] - predicates[base])/maxSize); - size *= (predicates[base+1] - predicates[base])/maxSize; - //printf("maxsize %f diff %f size %f\n", maxSize,predicates[base+1] - predicates[base],size ); - - //index+=tReal->attributeSize[attIndex]; - - } - - return size; - } - - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect_sse.cpp b/comparison_algs_src/BioHEL/classifier_hyperrect_sse.cpp deleted file mode 100644 index 007b51d..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect_sse.cpp +++ /dev/null @@ -1,306 +0,0 @@ -#include "classifier_hyperrect_sse.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect_sse::computeTheoryLength() -{ - int i, j, k; - float *ptr = chromosome; - theoryLength = 0.0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - float vmin=ptr[j]; - float vmax=ptr[tReal->sizeBounds+j]; - double size=ai.getSizeDomain(j); - if(vmin0) { - theoryLength += 1.0 - (vmax-vmin) / size; - } - } - - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_sse::classifier_hyperrect_sse() -{ - length = tReal->ruleSize; - chromosome = new aligned_float[tReal->ruleSize]; - classifier_hyperrect_sse::initializeChromosome(); -} - -classifier_hyperrect_sse::classifier_hyperrect_sse(const classifier_hyperrect_sse & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new aligned_float[tReal->ruleSize]; - bcopy(orig.chromosome, chromosome, - tReal->ruleSize * sizeof(float)); - } else { - chromosome = NULL; - } -} - -classifier_hyperrect_sse::~classifier_hyperrect_sse() -{ - delete chromosome; -} - -void classifier_hyperrect_sse::initializeChromosome() -{ - int i, j, k; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - double min,max; - double sizeD=ai.getSizeDomain(j); - double minD=ai.getMinDomain(j); - double maxD=ai.getMaxDomain(j); - if(!rndprobIrr) { - max=!rnd*sizeD+minD; - min=!rnd*(maxD-max)+max; - } else { - //double size=(!rnd*0.10+0.90)*ai.getSizeDomain(j); - double size=(!rnd*0.5+0.25)*sizeD; - if(ins) { - double val=ins->realValueOfAttribute(j); - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - } - - setGene(j,0,min); - setGene(j,1,max); - } - for(;jsizeBounds;j++) { - chromosome[j]=1; - chromosome[j+tReal->sizeBounds]=0; - } - - int cl; - if(ins) { - cl=ins->getClass(); - } else { - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && cl==tGlobals->defaultClass); - } - setGene(tGlobals->numAttributesMC, 0, cl); -} - -void classifier_hyperrect_sse::setGene(short int gene, short int value, double nfo) -{ - if(genenumAttributesMC) { - chromosome[gene + value*tReal->sizeBounds] = (float)nfo; - } else { - chromosome[tReal->ruleSize-1] = (float)nfo; - } - modif = 1; -} - -double classifier_hyperrect_sse::getGene(short int gene, short int value) -{ - if(genenumAttributesMC) { - return chromosome[gene + value*tReal->sizeBounds]; - } else { - return chromosome[tReal->ruleSize-1]; - } -} - -void classifier_hyperrect_sse::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect_sse *) in, - (classifier_hyperrect_sse *) out1, - (classifier_hyperrect_sse *) out2); -} - -double classifier_hyperrect_sse::mutationOffset(double geneValue, double offsetMin, - double offsetMax) -{ - double newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_sse::mutation() -{ - int i; - int attribute=-1, value; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,1); - } - - if (attribute != tGlobals->numAttributesMC) { - double oldValue=getGene(attribute,value); - double newValue; - double minOffset, maxOffset; - minOffset = maxOffset = - 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(oldValue, minOffset, - maxOffset); - if (newValue < ai.getMinDomain(attribute)) - newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) - newValue = ai.getMaxDomain(attribute); - setGene(attribute, value, newValue); - } else { - int newValue; - int oldValue = (int) getGene(attribute, value); - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } -} - -void classifier_hyperrect_sse::dumpPhenotype(char *string) -{ - float *ptr = chromosome; - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int numIntervals=0; - int i, j, k; - - strcpy(string, ""); - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - - double min = ptr[j]; - double max = ptr[j+tReal->sizeBounds]; - double size = ai.getSizeDomain(j); - - double sizeD=max-min; - if(minruleSize-1]; - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,cl)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_sse::crossover_1px(classifier_hyperrect_sse * in1, - classifier_hyperrect_sse * in2, - classifier_hyperrect_sse * out1, - classifier_hyperrect_sse * out2) -{ - out1->modif = out2->modif = 1; - - out1->length = tReal->ruleSize; - out2->length = tReal->ruleSize; - out1->chromosome = new aligned_float[tReal->ruleSize]; - out2->chromosome = new aligned_float[tReal->ruleSize]; - - int cutPoint = rnd(0, tGlobals->numAttributesMC*2); - int att=cutPoint/2; - int value=cutPoint%2; - - - bcopy(in1->chromosome, - out1->chromosome, - att * sizeof(float)); - bcopy(in2->chromosome, - out2->chromosome, - att * sizeof(float)); - bcopy(&in1->chromosome[tReal->sizeBounds], - &out1->chromosome[tReal->sizeBounds], - att * sizeof(float)); - bcopy(&in2->chromosome[tReal->sizeBounds], - &out2->chromosome[tReal->sizeBounds], - att * sizeof(float)); - - if(value) { - out1->chromosome[att]=in1->chromosome[att]; - out2->chromosome[att]=in2->chromosome[att]; - out1->chromosome[att+tReal->sizeBounds]=in2->chromosome[att+tReal->sizeBounds]; - out2->chromosome[att+tReal->sizeBounds]=in1->chromosome[att+tReal->sizeBounds]; - att++; - } - - bcopy(&in1->chromosome[att], - &out2->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att], - &out1->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in1->chromosome[att+tReal->sizeBounds], - &out2->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att+tReal->sizeBounds], - &out1->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - - out1->chromosome[tReal->ruleSize-1]=in2->chromosome[tReal->ruleSize-1]; - out2->chromosome[tReal->ruleSize-1]=in1->chromosome[tReal->ruleSize-1]; -} - -void classifier_hyperrect_sse::postprocess() -{ -} - diff --git a/comparison_algs_src/BioHEL/classifier_hyperrect_sse.h b/comparison_algs_src/BioHEL/classifier_hyperrect_sse.h deleted file mode 100644 index 77e3a19..0000000 --- a/comparison_algs_src/BioHEL/classifier_hyperrect_sse.h +++ /dev/null @@ -1,64 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_SSE_ -#define _CLASSIFIER_HYPERRECT_SSE_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -#include -#include "macros_sse.h" - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_sse: public classifier { - aligned_float *chromosome; - - /* Operadors de crossover i mutation */ - void crossover_1px(classifier_hyperrect_sse *in1,classifier_hyperrect_sse *in2 - ,classifier_hyperrect_sse *out1,classifier_hyperrect_sse *out2); - double getGene(short int attr,short int value); - void setGene(short int attr,short int value,double nfo); - double mutationOffset(double geneValue,double offsetMin,double offsetMax); - void initializeChromosome(void); - -public: - classifier_hyperrect_sse(); - classifier_hyperrect_sse(const classifier_hyperrect_sse &orig,int son=0); - ~classifier_hyperrect_sse(); - - inline int getClass() { - return (int) chromosome[tReal->ruleSize - 1]; - } - - inline int doMatch(instance * ins) - { - int i,j; - __m128i vecRes,vecTmp,vecOne; - __m128 v1,v2,v3; - vecOne=(__m128i){-1,-1}; - - for(j=0;jsizeBounds;j+=tReal->attPerBlock) { - VEC_MATCH(v1,&chromosome[j],v2 - ,&chromosome[j+tReal->sizeBounds],v3 - ,&ins->realValues[j],vecTmp,vecOne,vecRes); - if(!(0xFFFF==_mm_movemask_epi8(vecRes))) return 0; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/classifier_rotated_hyperrect.cpp b/comparison_algs_src/BioHEL/classifier_rotated_hyperrect.cpp deleted file mode 100644 index 7756cab..0000000 --- a/comparison_algs_src/BioHEL/classifier_rotated_hyperrect.cpp +++ /dev/null @@ -1,472 +0,0 @@ -#include "classifier_rotated_hyperrect.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_rotated_hyperrect::computeTheoryLength() -{ - int i, j, k; - float *ptr = chromosome; - theoryLength = 0.0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - float vmin=ptr[j]; - float vmax=ptr[tReal->sizeBounds+j]; - if(vmin<=vmax) { - theoryLength += 1.0 - (vmax-vmin)/tReal->sizeD[j]; - } - } - - theoryLength/=(double)tGlobals->numAttributesMC; - - double defAngles=0; - int base=tReal->sizeBounds*2+1; - for(i=0;inumUsedAngles;i++,base+=2) { - if(ptr[base]!=tReal->step0) defAngles++; - } - defAngles/=(double)tReal->numUsedAngles; - theoryLength+=defAngles*0.05; - - return theoryLength; -} - -classifier_rotated_hyperrect::classifier_rotated_hyperrect() -{ - length = tReal->ruleSize; - chromosome = new float[tReal->ruleSize]; - classifier_rotated_hyperrect::initializeChromosome(); -} - -classifier_rotated_hyperrect::classifier_rotated_hyperrect(const classifier_rotated_hyperrect & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new float[tReal->ruleSize]; - bcopy(orig.chromosome, chromosome, - tReal->ruleSize * sizeof(float)); - } else { - chromosome = NULL; - } -} - -classifier_rotated_hyperrect::~classifier_rotated_hyperrect() -{ - delete chromosome; -} - -void classifier_rotated_hyperrect::initializeChromosome() -{ - int i, j, k; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - int index=tReal->sizeBounds*2; - int attMask[tGlobals->numAttributesMC]; - bzero(attMask,sizeof(int)*tGlobals->numAttributesMC); - int angleMask[tReal->numAngles]; - int countRotAtt=0; - bzero(angleMask,sizeof(int)*tReal->numAngles); - for(j=0;jnumUsedAngles;j++,index+=2) { - int angle; - do { - angle=rnd(0,tReal->numAngles-1); - } while(angleMask[angle]); - angleMask[angle]=1; - - if(attMask[tReal->angleList1[angle]]==0) countRotAtt++; - attMask[tReal->angleList1[angle]]=1; - if(attMask[tReal->angleList2[angle]]==0) countRotAtt++; - attMask[tReal->angleList2[angle]]=1; - - chromosome[index]=angle; - if(!rndprob0AngleInit) { - chromosome[index+1]=tReal->step0; - } else { - chromosome[index+1]=rnd(0,tReal->numSteps-1); - } - } - - int relAttIndex=0; - int rotAtts[countRotAtt]; - for(i=0;inumAttributesMC;i++) { - if(attMask[i]==1) { - rotAtts[relAttIndex++]=i; - } - } - relAttIndex=0; - - double probIrr=tReal->probIrr+(double)countRotAtt/(double)tGlobals->numAttributesMC; - - - float realValues[tGlobals->numAttributesMC]; - if(ins) { - bcopy(ins->realValues,realValues,sizeof(float)*tGlobals->numAttributesMC); - int index=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,index+=2) { - register int angle=(int)chromosome[index+1]; - if(angle!=tReal->step0) { - int pos1=tReal->angleList1[(int)chromosome[index]]; - int pos2=tReal->angleList2[(int)chromosome[index]]; - float newX=realValues[pos1]*tReal->cosTable[angle] - -realValues[pos2]*tReal->sinTable[angle]; - float newY=realValues[pos1]*tReal->sinTable[angle] - +realValues[pos2]*tReal->cosTable[angle]; - realValues[pos1]=newX; - realValues[pos2]=newY; - } - } - - } - - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - double min,max; - if(rotAtts[relAttIndex]!=j && !rndsizeD[j]+tReal->minD[j]; - min=!rnd*(tReal->maxD[j]-max)+max; - } else { - if(rotAtts[relAttIndex]==j) relAttIndex++; - double size=(!rnd*0.5+0.25)*tReal->sizeD[j]; - if(ins) { - double val=realValues[j]; - min=val-size/2.0; - max=val+size/2.0; - if(minminD[j]) { - max+=(tReal->minD[j]-min); - min=tReal->minD[j]; - } - if(max>tReal->maxD[j]) { - min-=(max-tReal->maxD[j]); - max=tReal->maxD[j]; - } - } else { - min=!rnd*(tReal->sizeD[j]-size)+tReal->minD[j]; - max=min+size; - } - } - - setGene(j,0,min); - setGene(j,1,max); - } - - for(;jsizeBounds;j++) { - chromosome[j]=1; - chromosome[j+tReal->sizeBounds]=0; - } - - - int cl; - if(ins) { - cl=ins->getClass(); - } else { - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && cl==tGlobals->defaultClass); - } - setGene(tGlobals->numAttributesMC, 0, cl); -} - -void classifier_rotated_hyperrect::setGene(short int gene, short int value, double nfo) -{ - if(genenumAttributesMC) { - chromosome[gene + value*tReal->sizeBounds] = (float)nfo; - } else { - chromosome[tReal->ruleSize-1] = (float)nfo; - } - modif = 1; -} - -double classifier_rotated_hyperrect::getGene(short int gene, short int value) -{ - if(genenumAttributesMC) { - return chromosome[gene + value*tReal->sizeBounds]; - } else { - return chromosome[tReal->ruleSize-1]; - } -} - -void classifier_rotated_hyperrect::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_rotated_hyperrect *) in, - (classifier_rotated_hyperrect *) out1, - (classifier_rotated_hyperrect *) out2); -} - -double classifier_rotated_hyperrect::mutationOffset(double geneValue, double offsetMin, - double offsetMax) -{ - double newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_rotated_hyperrect::mutation() -{ - int i; - int attribute=-1, value; - - modif = 1; - - int modifAngles=0; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,1); - } - - if (attribute != tGlobals->numAttributesMC) { - double oldValue=getGene(attribute,value); - double newValue; - double minOffset, maxOffset; - minOffset = maxOffset = - 0.5 * tReal->sizeD[attribute]; - newValue = mutationOffset(oldValue, minOffset, - maxOffset); - if (newValue < tReal->minD[attribute]) - newValue = tReal->minD[attribute]; - if (newValue > tReal->maxD[attribute]) - newValue = tReal->maxD[attribute]; - setGene(attribute, value, newValue); - } else { - int newValue; - int oldValue = (int) getGene(attribute, value); - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } - - int pos=tReal->sizeBounds*2+rnd(0,tReal->sizeAngles-1); - if(pos%2) { - if(!rndprob0AngleMut) { - chromosome[pos]=tReal->step0; - } else { - int newValue=(int)chromosome[pos]; - if(!rnd<0.5) { - newValue+=rnd(1,tReal->mutSteps); - if(newValue>=tReal->numSteps) newValue=tReal->numSteps-1; - } else { - newValue-=rnd(1,tReal->mutSteps); - if(newValue<0) newValue=0; - } - chromosome[pos]=newValue; - } - } else { - int angleMask[tReal->numAngles]; - bzero(angleMask,tReal->numAngles*sizeof(int)); - - chromosome[pos]=rnd(0,tReal->numAngles-1); - int base=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,base+=2) { - if(angleMask[(int)chromosome[base]]) { - int pos; - do { - pos=rnd(0,tReal->numAngles-1); - } while(angleMask[pos]); - chromosome[base]=pos; - } - angleMask[(int)chromosome[base]]=1; - } - } -} - -void classifier_rotated_hyperrect::dumpPhenotype(char *string) -{ - float *ptr = chromosome; - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int numIntervals=0; - int i, j, k; - - strcpy(string, ""); - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - - double min = ptr[j]; - double max = ptr[j+tReal->sizeBounds]; - - double size=max-min; - if(minsizeD[j]) { - irr=0; - if(min>tReal->minD[j]) { - if(maxmaxD[j]) { - sprintf(temp2, "[%f,%f]", min, max); - strcat(temp,temp2); - } else { - sprintf(temp2, "[>%f]", min); - strcat(temp,temp2); - } - } else { - sprintf(temp2, "[<%f]", max); - strcat(temp,temp2); - } - } - - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - - - strcat(string,"|"); - int index=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,index+=2) { - if(ptr[index+1]!=tReal->step0) { - sprintf(temp,"Angle %s %s : %f|" - ,ai.getAttributeName(tReal->angleList1[(int)ptr[index]])->cstr() - ,ai.getAttributeName(tReal->angleList2[(int)ptr[index]])->cstr() - ,(ptr[index+1]-tReal->step0)*tReal->stepRatio); - strcat(string,temp); - } - } - - int cl=(int)ptr[tReal->ruleSize-1]; - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,cl)->cstr()); - strcat(string, temp); -} - -void classifier_rotated_hyperrect::crossover_1px(classifier_rotated_hyperrect * in1, - classifier_rotated_hyperrect * in2, - classifier_rotated_hyperrect * out1, - classifier_rotated_hyperrect * out2) -{ - int i; - - out1->modif = out2->modif = 1; - - out1->length = tReal->ruleSize; - out2->length = tReal->ruleSize; - out1->chromosome = new float[tReal->ruleSize]; - out2->chromosome = new float[tReal->ruleSize]; - - int cutPoint = rnd(0, tGlobals->numAttributesMC*2); - - int att=cutPoint/2; - int value=cutPoint%2; - - - bcopy(in1->chromosome, - out1->chromosome, - att * sizeof(float)); - bcopy(in2->chromosome, - out2->chromosome, - att * sizeof(float)); - bcopy(&in1->chromosome[tReal->sizeBounds], - &out1->chromosome[tReal->sizeBounds], - att * sizeof(float)); - bcopy(&in2->chromosome[tReal->sizeBounds], - &out2->chromosome[tReal->sizeBounds], - att * sizeof(float)); - - if(value) { - out1->chromosome[att]=in1->chromosome[att]; - out2->chromosome[att]=in2->chromosome[att]; - out1->chromosome[att+tReal->sizeBounds]=in2->chromosome[att+tReal->sizeBounds]; - out2->chromosome[att+tReal->sizeBounds]=in1->chromosome[att+tReal->sizeBounds]; - att++; - } - - bcopy(&in1->chromosome[att], - &out2->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att], - &out1->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in1->chromosome[att+tReal->sizeBounds], - &out2->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att+tReal->sizeBounds], - &out1->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - - out1->chromosome[tReal->ruleSize-1]=in2->chromosome[tReal->ruleSize-1]; - out2->chromosome[tReal->ruleSize-1]=in1->chromosome[tReal->ruleSize-1]; - - - int cutPoint2 = rnd(0,tReal->sizeAngles-1); - int base=tReal->sizeBounds*2; - bcopy(&in1->chromosome[base], - &out1->chromosome[base], - cutPoint2 * sizeof(float)); - bcopy(&in2->chromosome[base], - &out2->chromosome[base], - cutPoint2 * sizeof(float)); - bcopy(&in1->chromosome[base+cutPoint2], - &out2->chromosome[base+cutPoint2], - (tReal->sizeAngles-cutPoint2) * sizeof(float)); - bcopy(&in2->chromosome[base+cutPoint2], - &out1->chromosome[base+cutPoint2], - (tReal->sizeAngles-cutPoint2) * sizeof(float)); - - int angleMask[tReal->numAngles]; - bzero(angleMask,tReal->numAngles*sizeof(int)); - for(i=0;inumUsedAngles;i++,base+=2) { - if(angleMask[(int)out1->chromosome[base]]) { - int pos; - do { - pos=rnd(0,tReal->numAngles-1); - } while(angleMask[pos]); - out1->chromosome[base]=pos; - } - angleMask[(int)out1->chromosome[base]]=1; - } - - bzero(angleMask,tReal->numAngles*sizeof(int)); - base=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,base+=2) { - if(angleMask[(int)out2->chromosome[base]]) { - int pos; - do { - pos=rnd(0,tReal->numAngles-1); - } while(angleMask[pos]); - out2->chromosome[base]=pos; - } - angleMask[(int)out2->chromosome[base]]=1; - } -} - -void classifier_rotated_hyperrect::postprocess() -{ -} - diff --git a/comparison_algs_src/BioHEL/classifier_rotated_hyperrect.h b/comparison_algs_src/BioHEL/classifier_rotated_hyperrect.h deleted file mode 100644 index fdef7e6..0000000 --- a/comparison_algs_src/BioHEL/classifier_rotated_hyperrect.h +++ /dev/null @@ -1,96 +0,0 @@ -#ifndef _CLASSIFIER_ROTATED_HYPERRECT_ -#define _CLASSIFIER_ROTATED_HYPERRECT_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -#include -#include "macros_sse.h" - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_rotated_hyperrect: public classifier { - float *chromosome; - - /* Operadors de crossover i mutation */ - void crossover_1px(classifier_rotated_hyperrect *in1,classifier_rotated_hyperrect *in2 - ,classifier_rotated_hyperrect *out1,classifier_rotated_hyperrect *out2); - double getGene(short int attr,short int value); - void setGene(short int attr,short int value,double nfo); - double mutationOffset(double geneValue,double offsetMin,double offsetMax); - void initializeChromosome(void); - -public: - classifier_rotated_hyperrect(); - classifier_rotated_hyperrect(const classifier_rotated_hyperrect &orig,int son=0); - ~classifier_rotated_hyperrect(); - - inline int getClass() { - return (int) chromosome[tReal->ruleSize - 1]; - } - - inline int doMatch(instance * ins) - { - int i,j; - __m128i vecRes,vecTmp,vecOne; - __m128 v1,v2,v3; - vecOne=(__m128i){-1,-1}; - float realValues[tReal->sizeBounds]; - - bcopy(ins->realValues,realValues,sizeof(float)*tReal->sizeBounds); - - int index=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,index+=2) { - register int angle=(int)chromosome[index+1]; - if(angle!=tReal->step0) { - int pos1=tReal->angleList1[(int)chromosome[index]]; - int pos2=tReal->angleList2[(int)chromosome[index]]; - float newX=realValues[pos1]*tReal->cosTable[angle] - -realValues[pos2]*tReal->sinTable[angle]; - float newY=realValues[pos1]*tReal->sinTable[angle] - +realValues[pos2]*tReal->cosTable[angle]; - realValues[pos1]=newX; - realValues[pos2]=newY; - } - } - - /*for(i=0;inumAttributesMC;i++) { - if(realValues[i]minD[i] || realValues[i]>tReal->maxD[i]) { - char string[10000]; - dumpPhenotype(string); - printf("Rule %s produces out of range value %d:%f for instance\n",string,i,realValues[i]); - ins->dumpInstance(); - for(j=0;jnumAttributesMC;j++) { - printf("%.3f ",realValues[j]); - } - printf("\n"); - exit(1); - } - }*/ - - for(j=0;jsizeBounds;j+=tReal->attPerBlock) { - VEC_MATCH(v1,&chromosome[j],v2 - ,&chromosome[j+tReal->sizeBounds],v3 - ,&realValues[j],vecTmp,vecOne,vecRes); - if(!(0xFFFF==_mm_movemask_epi8(vecRes))) return 0; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/BioHEL/configCodes.h b/comparison_algs_src/BioHEL/configCodes.h deleted file mode 100644 index 83171c8..0000000 --- a/comparison_algs_src/BioHEL/configCodes.h +++ /dev/null @@ -1,155 +0,0 @@ -#ifndef _CONFIG_CODES_ -#define _CONFIG_CODES_ - -#define PROB_CROSSOVER 10 -#define POP_SIZE 20 -#define ITERATIONS 30 -#define INITIALIZATION_MIN_CLASSIFIERS 40 -#define INITIALIZATION_MAX_CLASSIFIERS 50 -#define IGNORE_MISSING_VALUES 60 -#define DUMP_POPULATION 70 - -#define SELECTION_ALGORITHM 80 - #define TOURNAMENT_SELECTION 1 - #define TOURNAMENT_WOR_SELECTION 2 - #define PARETO_SELECTION 3 -#define TOURNAMENT_SIZE 90 -#define SHOW_FRONTS 100 - -#define CROSSOVER_OPERATOR 110 - #define CROSS_1P 1 - #define CROSS_2P 2 - #define CROSS_INFORMED 3 - -#define FITNESS_FUNCTION 130 - #define ACCURACY 1 - #define MDL 2 -#define MDL_WEIGHT_RELAX_FACTOR 140 -#define MDL_ITERATION 150 -#define MDL_INITIAL_TL_RATIO 170 - -#define MAX_MIN 180 - #define MAXIMIZE 1 - #define MINIMIZE 2 - -#define PRUNING_ITERATION 190 -#define PRUNING_MIN_CLASSIFIERS 200 -#define PRUNING_AUTO_THRESHOLD 205 -#define PRUNING_AUTO_THRESHOLD2 206 -#define PRUNING_AUTO_OFFSET 207 - -#define PROB_INDIVIDUAL_MUTATION 210 - -#define HIERARCHICAL_SELECTION_ITERATION 220 -#define HIERARCHICAL_SELECTION_THRESHOLD 230 -#define HIERARCHICAL_SELECTION_USES_MDL 240 - -#define CHECK_WINDOWING 250 -#define WINDOWING_ILAS 260 -#define WINDOWING_GWS 270 - -#define PROB_ONE 280 -#define PROB_SHARP 290 - -#define KR_ADI 300 -#define PROB_MERGE 310 -#define PROB_SPLIT 320 -#define PROB_REINITIALIZE 330 -#define PROB_REINITIALIZE_AT_END 340 -#define MAX_INTERVALS 350 -#define DUMP_DISCRETIZERS 360 - -#define KR_HYPERRECT 370 -#define KR_HYPERRECT_LIST 373 -#define KR_HYPERRECT_LIST_REAL 374 -#define KR_HYPERRECT_SSE 375 -#define KR_ROTATED_HYPERRECT 376 -#define KR_HYPERRECT_LIST_DISCRETE 377 - -#define KR_LCS 380 -#define KR_INSTANCE_SET 390 - -#define D_OF_FR 400 -#define N_OF_SBX 410 -#define ALPHA_OF_BLX 420 - -#define KR_GABIL 430 - -#define PENALIZE_MIN_SIZE 440 -#define PENALIZE_MIN_SIZE_AT_END 450 - -#define TOTAL_TIME 460 - -#define DEFAULT_CLASS 470 - #define MAJOR 1 - #define MINOR 2 - #define DISABLED 3 - #define AUTO 4 - #define FIXED 5 - -#define FIXED_DEFAULT_CLASS 475 - -#define DUMP_EVOLUTION_STATS 480 - -#define PARETO_SELECTION_ITERATION 490 - -#define CLASS_WISE_INIT 500 - -#define PRUNING_POLICY 510 - #define FTB 1 - #define BTF 2 - #define RANDOM 3 - -#define HARD_NICHING_DISABLE 520 - -#define SMART_INIT 530 -#define DUMP_ACTIVATION 540 - -#define CLASS_WISE_ACC 550 - -#define PROB_SMART_CROSSOVER 570 -#define NUM_PARENTS_SMART_CROSSOVER 580 - -#define ADD_RULES_SMART_CROSSOVER 610 -#define REPETITIONS_RULE_ORDERING 620 -#define ELITISM_WITH_SMART_CROSSOVER 630 -#define ELITISM_LAST_ITERATION_WITH_SMART_CROSSOVER 640 - - -#define DUMP_GENOTYPE_ITERATIONS 650 - -#define FILTER_SMART_CROSSOVER 660 -#define MDL_WEIGHT 670 -#define RULE_CLEANING_PROB 680 -#define RULE_GENERALIZING_PROB 690 -#define INFORMED_CROSSOVER 700 - -#define COVERAGE_BREAKPOINT 710 -#define REPETITIONS_RULE_LEARNING 720 -#define COVERAGE_RATIO 730 - -#define ROTATE_HYPERRECTANGLES 740 -#define RESTRICTED_ROTATED_ATTRIBUTES 750 -#define PROB_0ANGLE_MUT 760 -#define PROB_0ANGLE_INIT 770 - -#define COVERAGE_INIT 780 -#define EXPRESSED_ATT_INIT 790 - -#define PROB_GENERALIZE_LIST 800 -#define PROB_SPECIALIZE_LIST 810 -#define HYPERRECT_LIST 820 - -#define ITERATIONS_COVADJ 830 -#define COVERAGE_BREAK_HEURISTIC 840 -#define POPULATIONS_COVADJ 850 - -#define NUM_ATTS_K 860 - -#define PERC_DEVICE_MEM 900 -#define DEVICE_SELECTED 910 -#define CUDA_ENABLED 920 - -typedef float __attribute__ ((aligned (4))) aligned_float; - -#endif diff --git a/comparison_algs_src/BioHEL/configManagement.h b/comparison_algs_src/BioHEL/configManagement.h deleted file mode 100644 index 38f4376..0000000 --- a/comparison_algs_src/BioHEL/configManagement.h +++ /dev/null @@ -1,31 +0,0 @@ -#ifndef _CONFIG_MANAGEMENT_ - -#define _CONFIG_MANAGEMENT_ - -#include "dictionary.h" -#include "configCodes.h" - -class configManagement -{ - private: - dictionary configuration; - - public: - inline double getParameter(int code) { - return(configuration.getContent(code)); - } - - inline void removeParameter(int code) { - configuration.removeContent(code); - } - - inline void setParameter(double value,int code) { - configuration.insertContent(value,code); - } - - int thereIsParameter(int code) { - return(configuration.keyExists(code)); - } -}; - -#endif diff --git a/comparison_algs_src/BioHEL/crossover.cpp b/comparison_algs_src/BioHEL/crossover.cpp deleted file mode 100644 index 7edcdc1..0000000 --- a/comparison_algs_src/BioHEL/crossover.cpp +++ /dev/null @@ -1,54 +0,0 @@ -#include "timerCrossover.h" -#include "timerGlobals.h" -#include "sampling.h" - -extern timerCrossover *tCross; -extern timerGlobals *tGlobals; - -#define max(a,b) (a)>(b)?(a):(b) - -void geneticAlgorithm::crossTwoParents(int parent1, int parent2, int son1, - int son2) -{ - offspringPopulation[son1] = - cf->cloneClassifier(population[parent1], 1); - offspringPopulation[son2] = - cf->cloneClassifier(population[parent2], 1); - - population[parent1]->crossover(population[parent2] - , offspringPopulation[son1] - , offspringPopulation[son2]); -} - -void geneticAlgorithm::crossOneParent(int parent, int son) -{ - offspringPopulation[son] = - cf->cloneClassifier(population[parent], 0); -} - - -void geneticAlgorithm::crossover() -{ - int i, j, k, countCross = 0; - - Sampling samp(popSize); - int p1 = -1; - for (j = 0; j < popSize; j++) { - if (!rnd < tCross->crossoverProb) { - if (p1 == -1) { - p1 = samp.getSample(); - } else { - int p2 = samp.getSample(); - crossTwoParents(p1, p2, countCross, - countCross + 1); - countCross += 2; - p1 = -1; - } - } else { - crossOneParent(samp.getSample(), countCross++); - } - } - if (p1 != -1) { - crossOneParent(p1, countCross++); - } -} diff --git a/comparison_algs_src/BioHEL/crossover.h b/comparison_algs_src/BioHEL/crossover.h deleted file mode 100644 index 82e895d..0000000 --- a/comparison_algs_src/BioHEL/crossover.h +++ /dev/null @@ -1,9 +0,0 @@ -#ifndef _CROSSOVER_DEF_ -#define _CROSSOVER_DEF_ - -void crossover(); -void crossSmart(int *parents,int numParents,int son); -void crossTwoParents(int parent1,int parent2,int son1,int son2); -void crossOneParent(int parent,int son); - -#endif diff --git a/comparison_algs_src/BioHEL/deviceQuery.txt b/comparison_algs_src/BioHEL/deviceQuery.txt deleted file mode 100644 index 1f98bad..0000000 --- a/comparison_algs_src/BioHEL/deviceQuery.txt +++ /dev/null @@ -1,71 +0,0 @@ -/usr/local/cuda/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/deviceQuery Starting... - - CUDA Device Query (Runtime API) version (CUDART static linking) - -Found 2 CUDA Capable device(s) - -Device 0: "Tesla C1060" - CUDA Driver Version / Runtime Version 4.0 / 4.0 - CUDA Capability Major/Minor version number: 1.3 - Total amount of global memory: 4096 MBytes (4294770688 bytes) - (30) Multiprocessors x ( 8) CUDA Cores/MP: 240 CUDA Cores - GPU Clock Speed: 1.30 GHz - Memory Clock rate: 800.00 Mhz - Memory Bus Width: 512-bit - Max Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048) - Max Layered Texture Size (dim) x layers 1D=(8192) x 512, 2D=(8192,8192) x 512 - Total amount of constant memory: 65536 bytes - Total amount of shared memory per block: 16384 bytes - Total number of registers available per block: 16384 - Warp size: 32 - Maximum number of threads per block: 512 - Maximum sizes of each dimension of a block: 512 x 512 x 64 - Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 - Maximum memory pitch: 2147483647 bytes - Texture alignment: 256 bytes - Concurrent copy and execution: Yes with 1 copy engine(s) - Run time limit on kernels: No - Integrated GPU sharing Host Memory: No - Support host page-locked memory mapping: Yes - Concurrent kernel execution: No - Alignment requirement for Surfaces: Yes - Device has ECC support enabled: No - Device is using TCC driver mode: No - Device supports Unified Addressing (UVA): No - Device PCI Bus ID / PCI location ID: 4 / 0 - Compute Mode: - < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > - -Device 1: "GeForce GT 240" - CUDA Driver Version / Runtime Version 4.0 / 4.0 - CUDA Capability Major/Minor version number: 1.2 - Total amount of global memory: 511 MBytes (536150016 bytes) - (12) Multiprocessors x ( 8) CUDA Cores/MP: 96 CUDA Cores - GPU Clock Speed: 1.34 GHz - Memory Clock rate: 900.00 Mhz - Memory Bus Width: 128-bit - Max Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048) - Max Layered Texture Size (dim) x layers 1D=(8192) x 512, 2D=(8192,8192) x 512 - Total amount of constant memory: 65536 bytes - Total amount of shared memory per block: 16384 bytes - Total number of registers available per block: 16384 - Warp size: 32 - Maximum number of threads per block: 512 - Maximum sizes of each dimension of a block: 512 x 512 x 64 - Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 - Maximum memory pitch: 2147483647 bytes - Texture alignment: 256 bytes - Concurrent copy and execution: Yes with 1 copy engine(s) - Run time limit on kernels: No - Integrated GPU sharing Host Memory: No - Support host page-locked memory mapping: Yes - Concurrent kernel execution: No - Alignment requirement for Surfaces: Yes - Device has ECC support enabled: No - Device is using TCC driver mode: No - Device supports Unified Addressing (UVA): No - Device PCI Bus ID / PCI location ID: 3 / 0 - Compute Mode: - < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > - -deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.0, CUDA Runtime Version = 4.0, NumDevs = 2, Device = Tesla C1060, Device = GeForce GT 240 diff --git a/comparison_algs_src/BioHEL/dictionary.h b/comparison_algs_src/BioHEL/dictionary.h deleted file mode 100644 index 1893373..0000000 --- a/comparison_algs_src/BioHEL/dictionary.h +++ /dev/null @@ -1,148 +0,0 @@ -#ifndef _DICTIONARY_H_ -#define _DICTIONARY_H_ - -#include -#include - -template class node -{ - private: - X content; - int key; - node *next; - - public: - node(X _content,int _key) {content=_content;key=_key; next=NULL;} - node() {next=NULL;} - int getKey() {return key;} - X getContent() {return content;} - void updateContent(X _content) {content=_content;} - void setNext(node *_next) {next=_next;} - node *getNext() {return next;} -}; - -template class dictionary -{ - private: - node *first; - - void insertNew(X element,int key); - public: - dictionary(); - ~dictionary(); - void insertContent(X element,int key); - void removeContent(int key); - X getContent(int key); - int keyExists(int key); -}; - - -template dictionary::dictionary() -{ - first=new node; -} - -template dictionary::~dictionary() -{ - node *tmp; - - while(first!=NULL) { - tmp=first; - first=first->getNext(); - delete tmp; - } -} - - -template void dictionary::insertNew(X element,int key) -{ - node *tmp=new node(element,key); - tmp->setNext(first->getNext()); - first->setNext(tmp); -} - - -template void dictionary::insertContent(X element,int key) -{ - node *tmp; - int found=0; - - tmp=first->getNext(); - - while(!found && tmp!=NULL) { - if(key==tmp->getKey()) { - found=1; - tmp->updateContent(element); - } - else tmp=tmp->getNext(); - } - if(!found) { - insertNew(element,key); - } -} - -template X dictionary::getContent(int key) -{ - node *tmp; - int found=0; - X element; - - tmp=first->getNext(); - - while(!found && tmp!=NULL) { - if(key==tmp->getKey()) { - found=1; - element=tmp->getContent(); - } - else tmp=tmp->getNext(); - } - if(!found) { - fprintf(stderr,"dictionary:getContent:no found %d\n",key); - fprintf(stderr,"Search configCodes.h for the meaning of the code\n"); - exit(1); - } - return element; -} - -template void dictionary::removeContent(int key) -{ - node *tmp; - int found=0; - X element; - - tmp=first; - - while(tmp->getNext()!=NULL) { - if(key==tmp->getNext()->getKey()) { - node *tmp2=tmp->getNext(); - tmp->setNext(tmp2->getNext()); - delete tmp2; - return; - } - tmp=tmp->getNext(); - } -} - - - -template int dictionary::keyExists(int key) -{ -#define TRUE 1 -#define FALSE 0 - - node *tmp; - int found=FALSE; - - tmp=first->getNext(); - - while(!found && tmp!=NULL) { - if(key==tmp->getKey()) { - found=TRUE; - } - else tmp=tmp->getNext(); - } - return found; -} - - -#endif diff --git a/comparison_algs_src/BioHEL/factory.cpp b/comparison_algs_src/BioHEL/factory.cpp deleted file mode 100644 index ad87847..0000000 --- a/comparison_algs_src/BioHEL/factory.cpp +++ /dev/null @@ -1,147 +0,0 @@ -#include "factory.h" - -#include "classifier_gabil.h" -/*#include "classifier_lcs.h" - #include "classifier_adaptive.h"*/ -#include "classifier_hyperrect.h" -#include "classifier_hyperrect_list.h" -#include "classifier_hyperrect_list_real.h" -#include "classifier_hyperrect_sse.h" -#include "classifier_rotated_hyperrect.h" -#include "classifier_hyperrect_list_discrete.h" -/*#include "classifier_instances.h"*/ -#include "configManagement.h" -#include "instanceSet.h" -#include "attributesInfo.h" -#include "timerGlobals.h" - -extern configManagement cm; -extern instanceSet *is; -extern attributesInfo ai; -extern timerGlobals *tGlobals; - -classifierFactory::classifierFactory() { - - /*if (cm.thereIsParameter(KR_ADI)) - classifierType = KR_ADI;*/ - /*else*/ - if (cm.thereIsParameter(KR_HYPERRECT)) { - - if (cm.thereIsParameter(HYPERRECT_LIST)) { - - if (ai.onlyRealValuedAttributes()) { - - classifierType = KR_HYPERRECT_LIST_REAL; -// } else if (!ai.thereAreRealValuedAttributes()) { -// classifierType = KR_HYPERRECT_LIST_DISCRETE; - - } else { - classifierType = KR_HYPERRECT_LIST; - - } - } else { - - if (ai.onlyRealValuedAttributes()) { - - if (cm.thereIsParameter(ROTATE_HYPERRECTANGLES)) { - - classifierType = KR_ROTATED_HYPERRECT; - } else { - - classifierType = KR_HYPERRECT_SSE; - } - } else { - - classifierType = KR_HYPERRECT; - } - } - /*else if (cm.thereIsParameter(KR_INSTANCE_SET)) - classifierType = KR_INSTANCE_SET; - else if (cm.thereIsParameter(KR_LCS)) - classifierType = KR_LCS;*/ - } else { - - classifierType = KR_GABIL; - } - - //mb.printf("Classifier type: %d\n", classifierType); -} - -classifier *classifierFactory::createClassifier(int numRep) { - /*if (classifierType == KR_ADI) - return new classifier_adaptive();*/ - if (classifierType == KR_HYPERRECT) - return new classifier_hyperrect(); - if (classifierType == KR_ROTATED_HYPERRECT) - return new classifier_rotated_hyperrect(); - if (classifierType == KR_HYPERRECT_SSE) - return new classifier_hyperrect_sse(); - if (classifierType == KR_HYPERRECT_LIST) - return new classifier_hyperrect_list(); - if (classifierType == KR_HYPERRECT_LIST_REAL) - return new classifier_hyperrect_list_real(); - if (classifierType == KR_HYPERRECT_LIST_DISCRETE) - return new classifier_hyperrect_list_discrete(numRep); - /*if (classifierType == KR_INSTANCE_SET) - return new classifier_instances(); - if (classifierType == KR_LCS) - return new classifier_lcs();*/ - return new classifier_gabil(); -} - -classifier *classifierFactory::cloneClassifier(classifier * orig, int son) { - /*if (classifierType == KR_ADI) - return new classifier_adaptive( - *((classifier_adaptive *) orig), son);*/ - - if (classifierType == KR_HYPERRECT) - return new classifier_hyperrect(*((classifier_hyperrect *) orig), son); - if (classifierType == KR_HYPERRECT_SSE) - return new classifier_hyperrect_sse( - *((classifier_hyperrect_sse *) orig), son); - if (classifierType == KR_HYPERRECT_LIST) - return new classifier_hyperrect_list( - *((classifier_hyperrect_list *) orig), son); - if (classifierType == KR_HYPERRECT_LIST_REAL) - return new classifier_hyperrect_list_real( - *((classifier_hyperrect_list_real *) orig), son); - if (classifierType == KR_HYPERRECT_LIST_DISCRETE) - return new classifier_hyperrect_list_discrete( - *((classifier_hyperrect_list_discrete *) orig), son); - if (classifierType == KR_ROTATED_HYPERRECT) - return new classifier_rotated_hyperrect( - *((classifier_rotated_hyperrect *) orig), son); - - /*if (classifierType == KR_INSTANCE_SET) - return new classifier_instances( - *((classifier_instances *) orig), son); - - if (classifierType == KR_LCS) - return new classifier_lcs( - *((classifier_lcs *) orig), son);*/ - - return new classifier_gabil(*((classifier_gabil *) orig), son); -} - -void classifierFactory::deleteClassifier(classifier * ind) { - /*if (classifierType == KR_ADI) - delete(classifier_adaptive *) ind; - else*/if (classifierType == KR_HYPERRECT) - delete (classifier_hyperrect *) ind; - else if (classifierType == KR_HYPERRECT_SSE) - delete (classifier_hyperrect_sse *) ind; - else if (classifierType == KR_HYPERRECT_LIST) - delete (classifier_hyperrect_list *) ind; - else if (classifierType == KR_HYPERRECT_LIST_REAL) - delete (classifier_hyperrect_list_real *) ind; - else if (classifierType == KR_HYPERRECT_LIST_DISCRETE) - delete (classifier_hyperrect_list_discrete *) ind; - else if (classifierType == KR_ROTATED_HYPERRECT) - delete (classifier_rotated_hyperrect *) ind; - /*else if (classifierType == KR_INSTANCE_SET) - delete(classifier_instances *) ind; - else if (classifierType == KR_LCS) - delete(classifier_lcs *) ind;*/ - else - delete (classifier_gabil *) ind; -} diff --git a/comparison_algs_src/BioHEL/factory.h b/comparison_algs_src/BioHEL/factory.h deleted file mode 100644 index 6b69890..0000000 --- a/comparison_algs_src/BioHEL/factory.h +++ /dev/null @@ -1,16 +0,0 @@ -#ifndef _CLASSIFIER_FACTORY_H_ -#define _CLASSIFIER_FACTORY_H_ - -#include "classifier.h" - -class classifierFactory { - int classifierType; -public: - - classifierFactory(); - classifier *createClassifier(int numRep=-1); - classifier *cloneClassifier(classifier *orig,int son=0); - void deleteClassifier(classifier *ind); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/functions.cpp b/comparison_algs_src/BioHEL/functions.cpp deleted file mode 100755 index e922ada..0000000 --- a/comparison_algs_src/BioHEL/functions.cpp +++ /dev/null @@ -1,664 +0,0 @@ -#ifndef __CUDA_COMPILED__ -#define __CUDA_COMPILED__ -#endif - -#include -#include -#include -#include - -#include "classifier.h" -#include "instance.h" -#include "agentPerformanceTraining.h" -#include "classifier_hyperrect_list.h" -#include "classifier_hyperrect_list_real.h" -#include "classifier_gabil.h" -#include "configManagement.h" - -extern configManagement cm; - -using namespace std; - -struct ClassifierInfo { - int numAtt; - int predictedClass; -}; - -int deviceSelected = -1; -size_t memDevice = (size_t) 0; -size_t memPerBlock = (size_t) 0; -int tPerBlock; - -int instancesPerRun; -int classifiersPerRun; -int maxNumAtt = 0; -int ruleSize = 0; -int atts = 0; - -float * realValues; -int * realClasses; -//int * typeOfAttributes; -int realClassesSize; -int realValuesSize; -int typeOfAttSize; - -unsigned char * chromosome; -float * predicates; -int * whichAtt; - -ClassifierInfo * info; -int * offsetPred; - -int predSize; -int whichSize; - -int infoSize; -int offsetPredSize = 0; - -int alreadyAllocatedIns = 0; - -extern "C"int **calculateFitnessCudaMixed(int alreadyAllocatedInstances, - int maxNumAtt, int ruleSize, int atts, int numInstances, int popSize, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, int * offsetPred, - int offsetPredSize, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize, int instancesPerRun, int classifiersPerRun, - int strataOffset); - -extern "C"int **calculateFitnessCudaReal(int alreadyAllocatedInstances, - int maxNumAtt, int atts, int numInstances, int popSize, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int instancesPerRun, int classifiersPerRun, int strataOffset); - -extern "C" int **calculateFitnessCudaNominal(int alreadyAllocatedInstances, - int numInstances, int popSize, int atts, int ruleSize, - unsigned char *chromosome, int chromosomeSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int instancesPerRun, int classifiersPerRun, int strataOffset); - -extern "C" void setDevice(size_t * memDevice, size_t * memPerBlock, int * threadsPerBlock, - int * deviceSelected, double percent); - -extern "C"void allocateInstanceMemoryCuda(int realValuesSize, int realClassesSize); - -extern "C"void copyInstancesToDeviceCudaReal(int numInstances, int atts, - int *instancesPerRun, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize); - -extern "C"void copyInstancesToDeviceCudaMixed(int numInstances, int atts, - int *instancesPerRun, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize); - -extern "C" void freeInstanceMemory(); - -extern "C" void copyStaticClassifierInfo(int atts, int *offsetPredicates, - int offsetPredSize); - -extern timerSymbolicKR *tSymbolic; - -inline int getMemPerClassifierMixed() { - return sizeof(ClassifierInfo) + sizeof(float) * ruleSize + sizeof(int) - * maxNumAtt * 2; -} - -inline int getMemPerClassifierReal() { - return sizeof(ClassifierInfo) + sizeof(float) * maxNumAtt * 2 + sizeof(int) - * maxNumAtt; -} - -inline int getMemPerClassifierNominal() { - return sizeof(unsigned char) * ruleSize + sizeof(int); -} - -inline int getMemPerInstance() { - return sizeof(int) * atts + sizeof(int); -} - -inline int getAdditionalMem() { - return 3 * sizeof(int); -} - -inline int memoryFit(int instancesPerRun, int classifiersPerRun, int memPerInstance, int memPerClassifier, int additionalMem, size_t memDevice) { - - return memPerInstance*instancesPerRun + memPerClassifier*classifiersPerRun - + additionalMem*ceil((double)instancesPerRun/tPerBlock)*classifiersPerRun + additionalMem*classifiersPerRun <= memDevice; -} - -void doMemoryCalculation(int memPerClassifier, int numInstances, int popSize) { - - // Memory per instance. Realvalues + real class - int memPerInstance = getMemPerInstance(); - - // Stores information shared between each pair of instance and classifier - int additionalMem = getAdditionalMem(); - - // Calculate if we can fit all instances in memory when considering - // working with only one classifier - instancesPerRun = numInstances; - - if (memoryFit(instancesPerRun,1,memPerInstance,memPerClassifier,additionalMem,memDevice)) { - // If all the instances fit in memory calculate how many classifiers fit in memory - classifiersPerRun = popSize; - - int i=2; - while(!memoryFit(instancesPerRun,classifiersPerRun,memPerInstance,memPerClassifier,additionalMem,memDevice) && classifiersPerRun > 0) { - if (classifiersPerRun == 1) { - classifiersPerRun = 0; - break; - } - classifiersPerRun = min(classifiersPerRun-1,(int) ceil((double)popSize/i++)); - } - - } else { - // If not all the instances fit in memory we calculate the number of classifier - // we could work with considering only one instance. - classifiersPerRun = popSize; - if (memoryFit(1,classifiersPerRun,memPerInstance,memPerClassifier,additionalMem,memDevice)) { - // If all the classifiers fit in memory we recalculate de number of instances. - instancesPerRun = (int) ceil((double)numInstances/2); - - int i=3; - while(!memoryFit(instancesPerRun,classifiersPerRun,memPerInstance,memPerClassifier,additionalMem,memDevice) && instancesPerRun > 0) { - if (instancesPerRun == 1) { - instancesPerRun = 0; - break; - } - instancesPerRun = min(instancesPerRun-1,(int) ceil((double)numInstances/i++)); - } - - } else { - // Dedicate half the memory for the classifiers and half for the instances. - // This is a suboptimal solution. This should consider the shared amount of - // data additionalMem. A Binary search should be done at this point - - double a = ((double) additionalMem*memPerClassifier)/((double) tPerBlock*memPerInstance); - double b = (double) 2*memPerClassifier + 2*additionalMem; - double c = (double) -1*memDevice; - - classifiersPerRun = (int) floor((-b + sqrt(pow(b,2) - 4*a*c))/((double)2*a)); - - instancesPerRun = numInstances; - - int i=2; - while(!memoryFit(instancesPerRun,classifiersPerRun,memPerInstance,memPerClassifier,additionalMem,memDevice) && instancesPerRun > 0) { - - if (instancesPerRun == 1) { - instancesPerRun = 0; - break; - } - instancesPerRun = min(instancesPerRun-1,(int) ceil((double)numInstances/i++)); - } - } - } - - // If at least one calculated value is 0 we abort the execution. - if(instancesPerRun < 1 || classifiersPerRun < 1) { - fprintf(stderr,"It is not possible to store these problem instances in device memory. Please use the serial version.\n"); - exit(1); - } - - printf("Ins per run %d Class per run %d \n", instancesPerRun,classifiersPerRun); - -} - -void doMemoryCalculationInstances(int memPerClassifier, int numInstances) { - - // Memory per instance. Realvalues + real class - int memPerInstance = getMemPerInstance(); - - // Stores information shared between each pair of instance and classifier - int additionalMem = getAdditionalMem(); - - // We check if we can fit all the instances in memory - instancesPerRun = numInstances; - classifiersPerRun = 0; - if (!memoryFit(instancesPerRun,1,memPerInstance,memPerClassifier,additionalMem,memDevice)) { - instancesPerRun = 0; - } - -} - - -void flattenClassifiersReal(classifier ** population, int popSize) { - // Generating the population structures - predicates = (float *) malloc(sizeof(float) * popSize * maxNumAtt * 2); - whichAtt = (int *) malloc(sizeof(int) * popSize * maxNumAtt); - info = (ClassifierInfo *) malloc(sizeof(ClassifierInfo) * popSize); - - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list_real * ind = - static_cast (population[i]); - - info[i].numAtt = ind->numAtt; - - bcopy(ind->whichAtt, &whichAtt[i * maxNumAtt], sizeof(int) - * info[i].numAtt); - bcopy(ind->predicates, &predicates[i * maxNumAtt * 2], sizeof(float) - * info[i].numAtt * 2); - - info[i].predictedClass = ind->classValue; - - - } -} - -void flattenClassifiersNominal(classifier ** population, int popSize) { - // Generating the population structures - chromosome = (unsigned char *) malloc(sizeof(int) * ruleSize * popSize); - - for (int i = 0; i < popSize; i++) { - classifier_gabil * ind = static_cast (population[i]); - - bcopy(ind->chromosome, &chromosome[i * ruleSize], sizeof(unsigned char) - * ruleSize); - - } -} - -void flattenClassifiersMixed(classifier ** population, int popSize) { - // Generating the population structures - predicates = (float *) malloc(sizeof(float) * popSize * ruleSize); - - whichAtt = (int *) malloc(sizeof(int) * popSize * maxNumAtt); - info = (ClassifierInfo *) malloc(sizeof(ClassifierInfo) * popSize); - offsetPred = (int *) malloc(sizeof(int) * popSize * maxNumAtt); - - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list * ind = - static_cast (population[i]); - - info[i].numAtt = ind->numAtt; - - bcopy(ind->whichAtt, &whichAtt[i * maxNumAtt], sizeof(int) - * info[i].numAtt); - bcopy(ind->predicates, &predicates[i * ruleSize], sizeof(float) - * ind->ruleSize); - bcopy(ind->offsetPredicates, &offsetPred[i * maxNumAtt], sizeof(int) - * info[i].numAtt); - - info[i].predictedClass = ind->classValue; - - - } -} - -void freeClassifiersReal() { - - free(predicates); - free(info); - free(whichAtt); - -} - -void freeClassifiersNominal() { - - free(chromosome); -} - -void freeClassifiersMixed() { - - free(predicates); - free(info); - free(whichAtt); - free(offsetPred); - -} - -void freeInstances() { - free(realValues); - free(realClasses); -} - -//This function is only called from the main in case the instances were allocated at the beginning -extern "C"void freeAllInstanceMemory() { - - if(alreadyAllocatedIns) { - freeInstances(); - freeInstanceMemory(); - } -} - -void flattenInstances(instance ** instances, int numInstances) { - - // Generating the instances structures - realValues = (float *) malloc(sizeof(float) * numInstances * atts); - realClasses = (int *) malloc(sizeof(int) * numInstances); - - for (int i = 0; i < numInstances; i++) { - - bcopy(instances[i]->realValues, &realValues[i * atts], sizeof(float) - * atts); - realClasses[i] = instances[i]->instanceClass; - } -} - -inline void getMaxNumAttReal(classifier ** population, int popSize) { - - maxNumAtt = 0; - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list_real* ind = - static_cast (population[i]); - if (ind->numAtt > maxNumAtt) { - maxNumAtt = ind->numAtt; - } - - } -} - -inline void getMaxNumAttMixed(classifier ** population, int popSize) { - - maxNumAtt = 0; - ruleSize = 0; - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list* ind = - static_cast (population[i]); - if (ind->numAtt > maxNumAtt) { - maxNumAtt = ind->numAtt; - } - - if (ind->ruleSize > ruleSize) { - ruleSize = ind->ruleSize; - } - - } - -} - -extern "C"void setDeviceCuda() { - - double percent; - if(cm.thereIsParameter(PERC_DEVICE_MEM)) { - percent = cm.getParameter(PERC_DEVICE_MEM); - } else { - percent = 1; - } - if(cm.thereIsParameter(DEVICE_SELECTED)) { - deviceSelected = (int) cm.getParameter(DEVICE_SELECTED); - } - - setDevice(&memDevice, &memPerBlock, &tPerBlock, &deviceSelected, percent); - -} - -inline void setAtts() { - atts = tGlobals->numAttributesMC; - maxNumAtt = atts; - ruleSize = tReal->ruleSize; -} - -inline void setNumAttsReal(classifier ** population, int popSize) { - getMaxNumAttReal(population, popSize); -} - -inline void setNumAttsNominal(int myruleSize) { - if (ruleSize == 0) - ruleSize = myruleSize; -} - -inline void setNumAttsMixed(classifier ** population, int popSize) { - getMaxNumAttMixed(population, popSize); - -} - -inline void setInstanceSizes() { - - realClassesSize = sizeof(int) * instancesPerRun; - realValuesSize = sizeof(float) * instancesPerRun * atts; - typeOfAttSize = sizeof(int) * atts; - -} - -inline void setClassifierSizesReal() { - - predSize = sizeof(float) * classifiersPerRun * maxNumAtt * 2; - whichSize = sizeof(int) * classifiersPerRun * maxNumAtt; - if (infoSize == 0) - infoSize = sizeof(ClassifierInfo) * classifiersPerRun; -} - -inline void setOffsetPredSize() { - offsetPredSize = sizeof(int) * (atts + 1); -} - -inline void setClassifierSizesNominal() { - predSize = sizeof(int) * ruleSize * classifiersPerRun; -} - -inline void setClassifierSizesMixed() { - - predSize = sizeof(float) * classifiersPerRun * ruleSize; - whichSize = sizeof(int) * classifiersPerRun * maxNumAtt; - if (infoSize == 0) - infoSize = sizeof(ClassifierInfo) * classifiersPerRun; - offsetPredSize = sizeof(int) * classifiersPerRun * maxNumAtt; -} - -extern "C" void copyInstancesToDeviceReal(instance ** instances, int numInstances) { - setAtts(); - - doMemoryCalculationInstances(getMemPerClassifierReal(), numInstances); - - if (instancesPerRun < numInstances) { - alreadyAllocatedIns = 0; - return; - } - - setInstanceSizes(); - flattenInstances(instances, numInstances); - - allocateInstanceMemoryCuda(realValuesSize, realClassesSize); - copyInstancesToDeviceCudaReal(numInstances, atts, &instancesPerRun, - realValues, realValuesSize, realClasses, realClassesSize); - - alreadyAllocatedIns = 1; -} - -extern "C" void copyInstancesToDeviceNominal(instance ** instances, int numInstances) { - - setAtts(); - - setOffsetPredSize(); - - copyStaticClassifierInfo(atts, tSymbolic->offsetAttribute, - offsetPredSize); - - doMemoryCalculationInstances(getMemPerClassifierNominal(), numInstances); - - if (instancesPerRun < numInstances) { - alreadyAllocatedIns = 0; - return; - } - - setInstanceSizes(); - flattenInstances(instances, numInstances); - - allocateInstanceMemoryCuda(realValuesSize, realClassesSize); - copyInstancesToDeviceCudaReal(numInstances, atts, &instancesPerRun, - realValues, realValuesSize, realClasses, realClassesSize); - - alreadyAllocatedIns = 1; - -} - -extern "C" void copyInstancesToDeviceMixed(instance ** instances, int * typeOfAttributes, - int numInstances) { - - - setAtts(); - - doMemoryCalculationInstances(getMemPerClassifierMixed(), numInstances); - - if (instancesPerRun < numInstances) { - alreadyAllocatedIns = 0; - return; - } - - setInstanceSizes(); - flattenInstances(instances, numInstances); - - allocateInstanceMemoryCuda(realValuesSize, realClassesSize); - copyInstancesToDeviceCudaMixed(numInstances, atts, &instancesPerRun, - realValues, realValuesSize, realClasses, realClassesSize, - typeOfAttributes, typeOfAttSize); - - alreadyAllocatedIns = 1; - - -} - -extern "C"void calculateFitnessReal(classifier ** population, - instance ** instances, int popSize, int numInstances, int strataOffset) { - - //Classifiers information - setNumAttsReal(population, popSize); - - doMemoryCalculation(getMemPerClassifierReal(), numInstances, popSize); - setInstanceSizes(); - - if (!alreadyAllocatedIns) { - strataOffset = 0; - flattenInstances(instances, numInstances); - } - - setClassifierSizesReal(); - flattenClassifiersReal(population, popSize); - - - int **counters = calculateFitnessCudaReal(alreadyAllocatedIns, maxNumAtt, - atts, numInstances, popSize, predicates, predSize, whichAtt, - whichSize, info, infoSize, realValues, realValuesSize, realClasses, - realClassesSize, instancesPerRun, classifiersPerRun, strataOffset); - - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list_real* ind = - static_cast (population[i]); - agentPerformanceTraining * aps = new agentPerformanceTraining( - numInstances, ind->getClass()); - aps->setNumMatched(counters[i][0]); - aps->setNumPos(counters[i][1]); - aps->setNumOK(counters[i][2]); - - ind->setAccuracy(aps->getAccuracy()); - ind->setAccuracy2(aps->getAccuracy2()); - ind->setCoverage(aps->getCoverage()); - - ind->modif = 0; - ind->fitness = aps->getFitness(*ind); - } - - if (!alreadyAllocatedIns) - freeInstances(); - freeClassifiersReal(); - free(counters); - -} - -extern "C" void calculateFitnessNominal(classifier ** population, - instance ** instances, int popSize, int numInstances, - int strataOffset) { - - //Classifiers information - setNumAttsNominal(tSymbolic->ruleSize); - - doMemoryCalculation(getMemPerClassifierNominal(), numInstances, popSize); - setInstanceSizes(); - - if (!alreadyAllocatedIns) { - strataOffset = 0; - flattenInstances(instances, numInstances); - } - - setClassifierSizesNominal(); - flattenClassifiersNominal(population, popSize); - - int** counters = calculateFitnessCudaNominal(alreadyAllocatedIns, - numInstances, popSize, atts, tSymbolic->ruleSize, chromosome, predSize, - realValues, realValuesSize, realClasses, realClassesSize, - instancesPerRun, classifiersPerRun, strataOffset); - - for (int i = 0; i < popSize; i++) { - classifier_gabil* ind = static_cast (population[i]); - agentPerformanceTraining * aps = new agentPerformanceTraining( - numInstances, ind->getClass()); - aps->setNumMatched(counters[i][0]); - aps->setNumPos(counters[i][1]); - aps->setNumOK(counters[i][2]); - - ind->setAccuracy(aps->getAccuracy()); - ind->setAccuracy2(aps->getAccuracy2()); - ind->setCoverage(aps->getCoverage()); - - ind->modif = 0; - ind->fitness = aps->getFitness(*ind); - } - - if (!alreadyAllocatedIns) - freeInstances(); - freeClassifiersNominal(); - free(counters); - -} - -extern "C" void calculateFitnessMixed(classifier ** population, - instance ** instances, int * typeOfAttributes, int popSize, - int numInstances, int strataOffset) { - - //Classifiers information - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list* ind = - static_cast (population[i]); - ind->initiateEval(); - } - - setNumAttsMixed(population, popSize); - - doMemoryCalculation(getMemPerClassifierMixed(), numInstances, popSize); - - setInstanceSizes(); - - if (!alreadyAllocatedIns) { - strataOffset = 0; - flattenInstances(instances, numInstances); - } - - setClassifierSizesMixed(); - flattenClassifiersMixed(population, popSize); - - int** counters = calculateFitnessCudaMixed(alreadyAllocatedIns, maxNumAtt, - ruleSize, atts, numInstances, popSize, predicates, predSize, - whichAtt, whichSize, info, infoSize, offsetPred, offsetPredSize, - realValues, realValuesSize, realClasses, realClassesSize, - typeOfAttributes, typeOfAttSize, instancesPerRun, - classifiersPerRun, strataOffset); - - for (int i = 0; i < popSize; i++) { - classifier_hyperrect_list * ind = - static_cast (population[i]); - agentPerformanceTraining * aps = new agentPerformanceTraining( - numInstances, ind->getClass()); - - //printf("Matched %d Pos %d OK %d\n",counters[i][0],counters[i][1],counters[i][2]); - aps->setNumMatched(counters[i][0]); - aps->setNumPos(counters[i][1]); - aps->setNumOK(counters[i][2]); - - ind->setAccuracy(aps->getAccuracy()); - ind->setAccuracy2(aps->getAccuracy2()); - ind->setCoverage(aps->getCoverage()); - - ind->modif = 0; - ind->fitness = aps->getFitness(*ind); - - ind->finalizeEval(); - } - - if (!alreadyAllocatedIns) - freeInstances(); - freeClassifiersMixed(); - free(counters); - -} diff --git a/comparison_algs_src/BioHEL/ga.cpp b/comparison_algs_src/BioHEL/ga.cpp deleted file mode 100644 index 1c9c7a2..0000000 --- a/comparison_algs_src/BioHEL/ga.cpp +++ /dev/null @@ -1,309 +0,0 @@ -#include "ga.h" -#include "configManagement.h" -#include "timerGlobals.h" -#include "random.h" -#include "timeManagement.h" -#include "messageBuffer.h" -#include "timerGlobals.h" -#include "attributesInfo.h" - -extern Random rnd; -extern timeManagement tm; -extern instanceSet *is; -extern configManagement cm; -static int optimizationMethod; -extern int lastIteration; -extern messageBuffer mb; -extern int numTasks; -extern timerGlobals *tGlobals; - -//Including a .cpp is ugly but ... -#include "crossover.cpp" -#include "replacement.cpp" -#include "selection.cpp" -#include "scaling.cpp" -#include "mutation.cpp" - -#ifdef __CUDA_COMPILED__ -extern "C" void calculateFitnessMixed(classifier ** population, - instance ** instances, int * typeOfAttributes, int popSize, - int numInstances, int strataOffset); - -extern "C" void calculateFitnessReal(classifier ** population, - instance ** instances, int popSize, int numInstances, int strataOffset); - -extern "C" void calculateFitnessNominal(classifier ** population, - instance ** instances, int popSize, int numInstances, - int strataOffset); -extern "C" void copyInstancesToDeviceReal(instance ** instances, int numInstances); - -extern "C" void copyInstancesToDeviceMixed(instance ** instances, int * typeOfAttributes, - int numInstances); - -extern "C" void copyInstancesToDeviceNominal(instance ** instances, int numInstances); - -extern "C" void freeAllInstanceMemory(); - -void copyInstances() { - - instance ** instances = is->getStratas(); - - if (ai.onlyRealValuedAttributes()) { - copyInstancesToDeviceReal(instances, - is->getNumInstances()); -// } else if (ai.onlyNominalAttributes() && !cm.thereIsParameter(KR_HYPERRECT)) { -// copyInstancesToDeviceNominal(instances, -// is->getNumInstances()); - } else { - int * typesOfAttributes = ai.getTypeOfAttributes(); - copyInstancesToDeviceMixed(instances, typesOfAttributes, - is->getNumInstances()); - } -} - -void freeInstanceMemory() { - freeAllInstanceMemory(); -} -#endif - - - -int rankOrder(const void *pA, const void *pB) { - rank *a = (rank *) pA; - rank *b = (rank *) pB; - - return a->ind->compareToIndividual2(b->ind, optimizationMethod); -} - -void geneticAlgorithm::createPopulationRank() { - int i; - - for (i = 0; i < popSize; i++) { - populationRank[i].pos = i; - populationRank[i].ind = population[i]; - } - qsort(populationRank, popSize, sizeof(rank), rankOrder); -} - -void geneticAlgorithm::initializePopulation() { - int i; - - popSize = (int) cm.getParameter(POP_SIZE); - - population = new classifier *[popSize]; - offspringPopulation = new classifier *[popSize]; - if (!population || !offspringPopulation) { - perror("out of memory"); - exit(1); - } - - for (i = 0; i < popSize; i++) { - population[i] = cf->createClassifier(); - if (!population[i]) { - perror("out of memory"); - exit(1); - } - } - - populationRank = new rank[popSize]; - flagResetBest=0; - currentIteration = 0; -} - -void geneticAlgorithm::initializeBalancedPopulation() -{ - int i; - - popSize = (int) cm.getParameter(POP_SIZE); - - population = new classifier *[popSize]; - offspringPopulation = new classifier *[popSize]; - if (!population || !offspringPopulation) { - perror("out of memory"); - exit(1); - } - - //Add just one classifier with 0 atts - i=0; - population[i++] = cf->createClassifier(0); - - //Add twice the number of atts of classifiers with 1 atts - for (; i < tGlobals->numAttributesMC*2+1; i++) { - population[i] = cf->createClassifier(1); - } - - int tam; - for (; i < popSize; i++) { - tam = i % (tGlobals->numAttributesMC-2); - population[i] = cf->createClassifier(tam+2); - //cout << tam << " " << i << "\n"; - if (!population[i]) { - perror("out of memory"); - exit(1); - } - } - - populationRank = new rank[popSize]; - flagResetBest=0; - currentIteration = 0; -} - -void geneticAlgorithm::doFitnessComputations() { - int i; - - classifier ** pop = population; - -#ifdef __CUDA_COMPILED__ - instance ** instances = is->getInstancesOfIteration(); - //printf("Fitness con CUDA\n"); - - if (ai.onlyRealValuedAttributes()) { - calculateFitnessReal(pop, instances, popSize, - is->getNumInstancesOfIteration(), - is->getStrataOffsetOfIteration()); -// } else if (ai.onlyNominalAttributes() && !cm.thereIsParameter(KR_HYPERRECT)) { -// calculateFitnessNominal(pop, instances, popSize, -// is->getNumInstancesOfIteration(), -// is->getStrataOffsetOfIteration()); - } else { - int * typesOfAttributes = ai.getTypeOfAttributes(); - calculateFitnessMixed(pop, instances, typesOfAttributes, popSize, - is->getNumInstancesOfIteration(), - is->getStrataOffsetOfIteration()); - } -#else - //printf("Fitness serial\n"); - for(i =0; i < popSize; i++) { - pop[i]->fitnessComputation(); - } -#endif - - - maxFitness = minFitness = population[0]->getFitness(); - for (i = 1; i < popSize; i++) { - double fitness = population[i]->getFitness(); - if (fitness > maxFitness) { - maxFitness = fitness; - } - if (fitness < minFitness) { - minFitness = fitness; - } - } - -} - -void geneticAlgorithm::resetBest() -{ - flagResetBest=1; -} - -void geneticAlgorithm::checkBestIndividual() { - int i; - - int currVer = is->getCurrentVersion(); - - if (best[currVer] == NULL) { - best[currVer] = cf->cloneClassifier(populationRank[0].ind); - } else { - -#ifdef __CUDA_COMPILED__ - classifier ** pop = (classifier **) malloc(sizeof(classifier *)); - pop[0] = best[currVer]; - instance ** instances = is->getInstancesOfIteration(); - if (ai.onlyRealValuedAttributes()) { - calculateFitnessReal(pop, instances, 1, - is->getNumInstancesOfIteration(), - is->getStrataOffsetOfIteration()); - } else { - int * typesOfAttributes = ai.getTypeOfAttributes(); - calculateFitnessMixed(pop, instances, typesOfAttributes, 1, - is->getNumInstancesOfIteration(), - is->getStrataOffsetOfIteration()); - } -#else - best[currVer]->fitnessComputation(); -#endif - if (best[currVer]->compareToIndividual(populationRank[0].ind, - optimizationMethod) < 0) { - //mb.printf("Best indiv %d replaced\n",currVer); - cf->deleteClassifier(best[currVer]); - best[currVer] = cf->cloneClassifier(populationRank[0].ind); - } - } -} - -void geneticAlgorithm::destroyPopulation() -{ - int i; - - for (i = 0; i < popSize; i++) cf->deleteClassifier(population[i]); - delete population; - delete populationRank; - delete offspringPopulation; -} - -geneticAlgorithm::geneticAlgorithm(classifierFactory *pCF,int balanced) -{ - cf = pCF; - - optimizationMethod = (int) cm.getParameter(MAX_MIN); - selectionAlg = (int) cm.getParameter(SELECTION_ALGORITHM); - tournamentSize = (int) cm.getParameter(TOURNAMENT_SIZE); - showFronts = cm.thereIsParameter(SHOW_FRONTS); - - numVersions=is->numVersions(); - best = new classifier *[numVersions+1]; - for(int i=0;ideleteClassifier(best[i]); - delete best; -#ifdef __CUDA_COMPILED__ - freeInstanceMemory(); -#endif -} - -void geneticAlgorithm::doIterations(int n) -{ - for (; n > 0; n--) { - - //tm.startChronometer(); - - selectionAlgorithm(); - crossover(); - mutation(); - - //tm.stopChronometer(); - //tm.addTimeToStage("alpha"); - - replacementAlgorithm(); - - // We already call fitnessComputation in replacement - //fitnessComputation(); - //tm.startChronometer(); - - createPopulationRank(); - checkBestIndividual(); - currentIteration++; - - //tm.stopChronometer(); - //tm.addTimeToStage("alpha"); - } -} - diff --git a/comparison_algs_src/BioHEL/ga.h b/comparison_algs_src/BioHEL/ga.h deleted file mode 100644 index c4d8a7e..0000000 --- a/comparison_algs_src/BioHEL/ga.h +++ /dev/null @@ -1,58 +0,0 @@ -#ifndef _GA_ -#define _GA_ - -#include "factory.h" -#include "random.h" -#include "instanceSet.h" -#include -#include - -typedef struct { - int pos; - classifier *ind; -} rank; - -extern instanceSet *is; - - -class geneticAlgorithm { - int currentIteration; - int popSize; - classifierFactory *cf; - classifier **population, **offspringPopulation; - rank *populationRank; - int flagResetBest; - int numVersions; - classifier **best; - - - void checkBestIndividual(); - - - - void initializePopulation(); - void initializeBalancedPopulation(); - -#include "crossover.h" -#include "scaling.h" -#include "replacement.h" -#include "selection.h" -#include "mutation.h" - -public: - void doFitnessComputations(); - void destroyPopulation(); - geneticAlgorithm(classifierFactory *cf,int balanced=0); - ~geneticAlgorithm(); - void doIterations(int num); - classifier **getPopulation() { return population; } - classifier *getBest() { return best[is->getCurrentVersion()]; } - classifier *getWorst() { - return population[populationRank[popSize - 1].pos]; - } - rank *getPopulationRank() { return populationRank; } - void resetBest(); - void createPopulationRank(); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/instance.cpp b/comparison_algs_src/BioHEL/instance.cpp deleted file mode 100644 index 6cacb5f..0000000 --- a/comparison_algs_src/BioHEL/instance.cpp +++ /dev/null @@ -1,165 +0,0 @@ -#include "instance.h" -#include "JVector.h" -#include "JString.h" -#include -#include "attributesInfo.h" -#include "messageBuffer.h" - -extern attributesInfo ai; -extern messageBuffer mb; - -instance::instance(int pID,char *string,int pTraintest) -{ - int i,j; - - traintest=pTraintest; - id=pID; - missingValues=0; - numAttributes=ai.getNumAttributesMC(); - - //realValues=NULL; - //if(ai.thereAreRealValuedAttributes()) { - int num=numAttributes; - //if(ai.onlyRealValuedAttributes()) { - if(num%4) { - num+=(4-num%4); - } - //} - realValues=new aligned_float[num]; - bzero(realValues,num*sizeof(float)); - //} - - missing=NULL; - - //nominalValues=NULL; - //if(ai.thereAreNominalAttributes()) { - // nominalValues=new unsigned char[numAttributes]; - //} - - parseInstance(string); -} - -int instance::extractNominalValue(char *instance,int attribute) -{ - if(attributecstr()); - mb.printf("%s,",ai.getNominalValue(i, (unsigned char)realValues[i])->cstr()); - } else { - mb.printf("%.3f,",realValues[i]); - } - } - mb.printf("%s\n",ai.getNominalValue(numAttributes, instanceClass)->cstr()); -} - -void instance::normalize() -{ - int i; - - for(i=0;i -#include -#include -#include "JVector.h" -#include "JString.h" -#include "attributesInfo.h" -#include "utils.h" -#include "windowingILAS.h" -#include "windowingGWS.h" -#include "random.h" -#include "messageBuffer.h" -#include "timeManagement.h" -#include "timerMDL.h" - - -extern messageBuffer mb; -extern attributesInfo ai; -extern Random rnd; -extern configManagement cm; -extern timeManagement tm; -extern int nodeRank; -extern timerMDL *tMDL; - -void instanceSet::readFile(char fileName[], int &numInstances, int traintest) -{ - FILE *fp; - char string[200000]; - JVector tempSet(1000,100000); - int num = 0; - - fp = fopen(fileName, "r"); - if (!fp) { - fprintf(stderr,"Can't open %s\n",fileName); - exit(1); - } - - parseHeader(fp, traintest); - - fgets(string, 199999, fp); - while (!feof(fp)) { - string[strlen(string) - 1] = 0; - if(string[strlen(string) - 1]==13) - string[strlen(string) - 1] = 0; - if (string[0] != '%' && strlen(string) > 0) { - instance *tmp=new instance(num,string,traintest); - if(traintest==TRAIN) ai.insertInstance(tmp); - tempSet.addElement(tmp); - num++; - } - fgets(string, 199999, fp); - } - fclose(fp); - - numInstances = num; - set=new instance*[num]; - for(int i=0;i= max) { - fprintf(stderr,"Attribute %d inconsistent:%d %d\n", - numAttr, min, max); - exit(1); - } - ai.setTypeOfAttribute(numAttr,REAL); - mb.printf("Attribute %d integer [%d:%d]\n", numAttr, min, max);*/ - ai.setTypeOfAttribute(numAttr,REAL); - mb.printf("Attribute %d integer\n", numAttr); - -} - -void instanceSet::parseNominal(char *string, int numAttr) -{ - mb.printf("Attribute %d nominal\n", numAttr); - ai.setTypeOfAttribute(numAttr,NOMINAL); - int numValues = 0; - char *ptr = string; - ptr++; - while (*ptr != '}') { - char value[500]; - int size; - while (*ptr == ' ' || *ptr == '\t') ptr++; - for (size = 0; - !(*ptr == 0 || *ptr == ',' || *ptr == '}'); - value[size++] = *ptr++); - if (*ptr == 0) { - fprintf(stderr,"Parse error: %s\n", string); - exit(1); - } - value[size] = 0; - if (size > 0) { - JString *str = new JString(value); - ai.insertNominalValue(numAttr,str); - mb.printf("Value %d of attribute %d: %s\n", numValues, - numAttr, value); - numValues++; - } - if (*ptr == ',') ptr++; - } -} - -void instanceSet::parseAttribute(char *string, int numAttr) -{ - char name[5000]; - - string += 10; - while (*string == ' ' || *string == '\t') - string++; - - if(*string=='\'') { - string++; - int count=0; - while(*string!='\'') { - name[count++]=*string++; - } - name[count]=0; - string++; - } else { - if (sscanf(string, "%s", name) != 1) { - fprintf(stderr,"Parse error:%s\n", string); - exit(1); - } - string += strlen(name); - } - - - while (*string == ' ' || *string == '\t') - string++; - - mb.printf("Attribute %d:Name %s Def:%s\n", numAttr, name, string); - - ai.insertAttributeName(new JString(name)); - - if (!strcasecmp(string, "real") || !strcasecmp(string, "numeric")) { - parseReal(numAttr); - } else if (!strncasecmp(string, "integer", 7)) { - parseInteger(string, numAttr); - } else if (string[0] == '{') { - parseNominal(string, numAttr); - } else { - fprintf(stderr,"Unknown attribute type %s\n", string); - exit(1); - } -} - -void instanceSet::parseHeader(FILE * fp,int traintest) -{ - JVectorheader; - - char string[10000]; - int end = 0; - int numAttr = 0; - - fgets(string, 9999, fp); - while (!feof(fp) && !end) { - string[strlen(string)-1]=0; - if(string[strlen(string) - 1]==13) - string[strlen(string) - 1] = 0; - if (string[0] != '%' && strlen(string) > 1) { - if (!strncasecmp(string, "@relation", 9)) { - if (traintest == TRAIN) parseRelation(string); - } else if (!strncasecmp(string, "@attribute", 10)) { - if (traintest == TRAIN) { - char *tmp=new char[strlen(string)+1]; - strcpy(tmp,string); - header.addElement(tmp); - numAttr++; - } - } else if (!strncasecmp(string, "@data", 5)) { - end = 1; - } else { - fprintf(stderr,"Unknown header element:%s\n" - , string); - exit(1); - } - } - if(!end) - fgets(string, 9999, fp); - } - - if (traintest == TRAIN) { - ai.setNumAttributes(numAttr); - for(int i=0;isetInstances(set,numInstances); - win->newIteration(window,windowSize,strataOffset); - } - } else { - windowingEnabled=0; - window=NULL; - } -} - -instanceSet::instanceSet(char fileName[], int traintest) -{ - int i; - - window=NULL; - win=NULL; - readFile(fileName, numInstances, traintest); - if (!numInstances) { - fprintf(stderr,"Instances file %s is empty\n",fileName); - exit(1); - } - - if(!cm.thereIsParameter(IGNORE_MISSING_VALUES)) { - for(i=0;iupdateMissing(); - } - } - - if(cm.thereIsParameter(ROTATE_HYPERRECTANGLES)) { - for(i=0;inormalize(); - } - } - - origSet = new instance *[numInstances]; - numInstancesOrig=numInstances; - for(i=0;inewIteration(window,windowSize, strataOffset); - if(win->needReEval()) return 1; - return 0; - } - - return 0; -} - -void instanceSet::initInstanceLists() -{ - int i; - int numInst=getNumInstances(); - - countsByClass = new int[numClasses]; - initSamplings = new Sampling *[numClasses]; - instByClass = new int *[numClasses]; - - for(i=0;igetClass(); - countsByClass[cl]++; - } - - for(i=0;igetClass(); - instByClass[cl][countsByClass[cl]++]=i; - } -} - -instance *instanceSet::getInstanceInit(int forbiddenCL) -{ - if(classWiseInit) { - if(forbiddenCL!=numClasses) { - int allEmpty=1; - int i; - - for(i=0;i0) { - allEmpty=0; - break; - } - } - if(allEmpty) { - return NULL; - } - } - - int cl; - do { - if(forbiddenCL!=numClasses) { - cl=rnd(0,numClasses-2); - if(cl>=forbiddenCL) cl++; - } else { - cl=rnd(0,numClasses-1); - } - } while(countsByClass[cl]==0); - - int pos=initSamplings[cl]->getSample(); - int insIndex=instByClass[cl][pos]; - instance *ins=set[insIndex]; - - return ins; - } else { - int nc=numClasses; - int count[nc]; - int total=0; - int i; - if(forbiddenCL!=numClasses) nc--; - - for(i=0;inumSamplesLeft(); - else - count[i]=initSamplings[i+1]->numSamplesLeft(); - total+=count[i]; - } - int pos=rnd(0,total-1); - int acum=0; - int found=0; - for(i=0;i=forbiddenCL) i++; - - pos=initSamplings[i]->getSample(); - int insIndex=instByClass[i][pos]; - instance *ins=set[insIndex]; - - return ins; - } -} - - -void instanceSet::removeInstancesAndRestart(classifier *cla) -{ - int i; - - if(initSamplings) { - for(i=0;iinitiateEval(); - while(indexdoMatch(set[index])) { - //delete set[index]; - set[index]=set[numInstances-1]; - numRemoved++; - numInstances--; - } else { - countClassRem[set[index]->instanceClass]++; - index++; - } - } - cla->finalizeEval(); - - ai.updateClassCounters(countClassRem); - - /*if(tMDL->mdlAccuracy) { - for(i=0;iorigCoverageBreaks[i]; - tMDL->coverageBreaks[i]=ratio; - if(tMDL->coverageBreaks[i]>1) { - tMDL->coverageBreaks[i]=1; - } - if(nodeRank==0) { - mb.printf("New coverage break for class %d:%f\n",i, - tMDL->coverageBreaks[i]); - } - } - }*/ - - /*if(cm.thereIsParameter(WINDOWING_ILAS)) { - double ratio=(double)numOrig/(double)numInstances; - double numS=cm.getParameter(WINDOWING_ILAS)/ratio; - if(numS<2) { - numS=2; - } - if(nodeRank==0) { - mb.printf("New number of strata:%f\n",numS); - } - cm.setParameter(numS,WINDOWING_ILAS); - }*/ - - - if(nodeRank==0) { - mb.printf("Removed %d instances. %d Instances left. Acc of rule %f-%f \n" - ,numRemoved,numInstances,cla->getAccuracy(),cla->getAccuracy2()); - } - - - initInstanceLists(); - - initializeWindowing(TRAIN); -} - -void instanceSet::restart() -{ - int i; - - if(initSamplings) { - for(i=0;igetClass()]++; - } - - int max=counters[0]; - int classMax=0; - for(i=1;imax) { - max=counters[i]; - classMax=i; - } - } - - return classMax; -} - -int instanceSet::getMajorityClassExcept(int cl) -{ - int counters[numClasses]; - int i; - - for(i=0;igetClass(); - if(insCl!=cl) counters[insCl]++; - } - - int max=counters[0]; - int classMax=0; - for(i=1;imax) { - max=counters[i]; - classMax=i; - } - } - - return classMax; -} diff --git a/comparison_algs_src/BioHEL/instanceSet.h b/comparison_algs_src/BioHEL/instanceSet.h deleted file mode 100644 index 344b063..0000000 --- a/comparison_algs_src/BioHEL/instanceSet.h +++ /dev/null @@ -1,101 +0,0 @@ -#ifndef _INSTANCE_SET_ -#define _INSTANCE_SET_ - -#include "classifier.h" -#include -#include "JVector.h" -#include "windowing.h" -#include "sampling.h" - -#define TRAIN 1 -#define TEST 2 - -class instance; - - -class instanceSet { -private: - Sampling **initSamplings; - int *countsByClass; - int **instByClass; - void initInstanceLists(); - int numClasses; - int classWiseInit; - - windowing *win; - instance **set; - instance **origSet; - int numInstances; - int numInstancesOrig; - - int strataOffset; - - int windowingEnabled; - instance **window; - int windowSize; - - void readFile(char fileName[],int &numInstances,int traintest); - void parseHeader(FILE *,int traintest); - void parseRelation(char *string); - void parseReal(int numAtr); - void parseInteger(char *string,int numAtr); - void parseNominal(char *string,int numAtr); - void parseAttribute(char *string,int numAtr); - void initializeWindowing(int traintest); - -public: - instanceSet(char *fileName,int traintest); - ~instanceSet(); - - inline instance *getInstance(int index) { - if(windowingEnabled) return window[index]; - return set[index]; - } - inline instance **getInstancesOfIteration() { - if(windowingEnabled) return window; - return set; - } - - inline instance **getAllInstances() { - return set; - } - - inline instance **getOrigInstances() { - return origSet; - } - inline int getNumInstancesOrig() { - return numInstancesOrig; - } - - inline instance **getStratas() { - return win->getStratas(); - } - - instance *getInstanceInit(int forbiddenCL); - - inline int isWindowingEnabled() {return windowingEnabled;} - int getNumInstancesOfIteration(); - int getStrataOffsetOfIteration(); - int newIteration(int isLast); - inline int getNumInstances(){return numInstances;} - int numVersions(){ - if(windowingEnabled) return win->numVersions(); - return 1; - } - int getCurrentVersion(){ - if(windowingEnabled) return win->getCurrentVersion(); - return 0; - } - - void removeInstancesAndRestart(classifier *cla); - void restart(); - - int getMajorityClass(); - int getMajorityClassExcept(int cl); - - -}; - - - -#endif diff --git a/comparison_algs_src/BioHEL/kernels.cu b/comparison_algs_src/BioHEL/kernels.cu deleted file mode 100644 index 132b681..0000000 --- a/comparison_algs_src/BioHEL/kernels.cu +++ /dev/null @@ -1,1589 +0,0 @@ -#ifndef __CUDA_COMPILED__ -#define __CUDA_COMPILED__ -#endif - -#include -#include -#include -#include -#include -#include - -using namespace std; - -//#define THREADS_PER_BLOCK 512 -#define MAX_TYPE_SIZE 512 -//#define N 512 -#define NOMINAL 1 -#define ENTER 2 -#define REAL 3 - -#ifdef __DEVICE_EMULATION__ -#define EMUSYNC __syncthreads() -#else -#define EMUSYNC -#endif - -struct __align__ (8) ClassifierInfo { - int numAtt; - int predictedClass; -}; - -unsigned char *d_chromosome; -float *d_predicates; -int *d_whichAtt; -ClassifierInfo *d_info; -int *d_offsetPred; - -float *d_realValues; -int *d_realClasses; -__constant__ int c_typeOfAttribute[MAX_TYPE_SIZE]; -__constant__ int c_numAtts[1]; -__constant__ int c_offsetAttribute[MAX_TYPE_SIZE]; -int threadsPerBlock; - - -//template < unsigned int blockSize > -__global__ void reduction6(int *entrada, int * last, int totalObjects, - int arraySize, int a); -//template < unsigned int blockSize > -__global__ static void cudaCalculateMatchMixed(int insPerRun, - int classPerRun, - int maxNumAtt, int ruleSize, int numAttIns, - float *predicates, - int *whichAtt, - ClassifierInfo * info, - int * offsetPredicates, - float *realValues, - int *realClasses, - int *numIns, - int *finalStruct); - -//template < unsigned int blockSize > -__global__ static void cudaCalculateMatchReal(int insPerRun, - int classPerRun, - int maxNumAtt, int numAttIns, - float *predicates, - int *whichAtt, - ClassifierInfo * info, - float *realValues, - int *realClasses, - int *numIns, - int *finalStruct); - -//template < unsigned int blockSize > -__global__ static void cudaCalculateMatchNominal(int insPerRun, - int classPerRun, - int ruleSize, - unsigned char *chromosome, - float *realValues, - int *realClasses, - int *numIns); - -inline int setDeviceFirstTime() { - - // Determine de number of cuda enabled devices available. - int deviceCount; - cudaGetDeviceCount(&deviceCount); - - int deviceSelected; - - // If there is a device available we iterate over the device to select the device with the larger capacity - if (deviceCount > 0) { - int device; - - int maxCapacityFound = 0; - - cudaDeviceProp prop; - for (device = 0; device < deviceCount; device++) { - - cudaGetDeviceProperties(&prop, device); - - if (prop.totalGlobalMem > maxCapacityFound) { - maxCapacityFound = prop.totalGlobalMem; - deviceSelected = device; - // A device with a larger capacity was found - } - - } - - return deviceSelected; - } else { - fprintf(stderr, "There are not CUDA enabled devices available"); - exit(1); - } -} - -extern "C" void setDevice(size_t * memDevice, size_t * memPerBlock, int * tBlock, - int * deviceSelected, double percent) { - - - // Sets 256MB as the global memory in case of using device emulation. -#ifdef __DEVICE_EMULATION__ - - *memDevice = 268435456; - *memPerBlock = 16384; - *tBlock = 512 - threadsPerBlock = 512; -#endif - -#ifndef __DEVICE_EMULATION__ - cudaDeviceProp prop; - if (*deviceSelected == -1) { - *deviceSelected = setDeviceFirstTime(); - } - - if (*memDevice == 0 || *memPerBlock == 0 && *tBlock == 0) { - // If a device was already set previously we collect the data - cudaSetDevice(*deviceSelected); - cudaGetDeviceProperties(&prop, *deviceSelected); -// if(*deviceSelected == 0) { - //double percent = cm.getParameter(PERC_DEVICE_MEM); - *memDevice = (size_t) floor(percent*prop.totalGlobalMem); - fprintf(stdout, "Using %f of device memory %lld\n", percent, prop.totalGlobalMem); -// } else { -// *memDevice = prop.totalGlobalMem; -// } - *memPerBlock = prop.sharedMemPerBlock; - *tBlock = prop.maxThreadsPerBlock; - threadsPerBlock = prop.maxThreadsPerBlock; - //threadsPerBlock = 512; - - // *memDevice = 1024*12; - - fprintf(stdout, "Set mem device %lld memBlock %lld threads %d Device %d\n", *memDevice, *memPerBlock, threadsPerBlock, *deviceSelected); - - } -#endif - -} - -void launchMatchReal(int instancesPerRun, int classifiersPerRun, int blockX, - int maxNumAtt, int numAttIns, int shared_mem_size, int *d_numIns, - int *finalStruct, - int strataOffset) { - - // Initialize block and grid size - dim3 grid = dim3(blockX, classifiersPerRun, 1); - dim3 threads = dim3(threadsPerBlock, 1, 1); - - - // Calculate the match and predicted for each instance and classifier pair. - cudaCalculateMatchReal<<< grid, threads, - shared_mem_size * 3 >>> (instancesPerRun, classifiersPerRun, - maxNumAtt, numAttIns, d_predicates, - d_whichAtt, d_info, &d_realValues[strataOffset*numAttIns], - &d_realClasses[strataOffset], d_numIns, finalStruct); - cutilCheckMsg("Kernel execution failed"); - cudaThreadSynchronize(); - - -} - -void launchMatchNominal(int instancesPerRun, int classifiersPerRun, int blockX, - int shared_mem_size, int atts, int ruleSize, int *d_numIns, - int strataOffset) { - - // Initialize block and grid size - dim3 grid = dim3(blockX, classifiersPerRun, 1); - dim3 threads = dim3(threadsPerBlock, 1, 1); - - - // Calculate the match and predicted for each instance and classifier pair. - cudaCalculateMatchNominal<<< grid, threads, - shared_mem_size * 3 >>> (instancesPerRun, classifiersPerRun, ruleSize, - d_chromosome, - &d_realValues[strataOffset*atts], - &d_realClasses[strataOffset], d_numIns); - cutilCheckMsg("Kernel execution failed"); - cudaThreadSynchronize(); - -} - -void launchMatchMixed(int instancesPerRun, int classifiersPerRun, int blockX, - int maxNumAtt, int ruleSize, int numAttIns, int shared_mem_size, - int *d_numIns, int *finalStruct, int strataOffset) { - - - // Initialize block and grid size - dim3 grid = dim3(blockX, classifiersPerRun, 1); - dim3 threads = dim3(threadsPerBlock, 1, 1); - - // Calculate the match and predicted for each instance and classifier pair. - cudaCalculateMatchMixed<<< grid, threads, - shared_mem_size * 3 >>> (instancesPerRun, classifiersPerRun, - maxNumAtt, ruleSize, numAttIns, d_predicates, - d_whichAtt, d_info, d_offsetPred, &d_realValues[strataOffset*numAttIns], - &d_realClasses[strataOffset], d_numIns, finalStruct); - cutilCheckMsg("Kernel execution failed"); - cudaThreadSynchronize(); - -} - -void launchReduction(int insPerRun, int classPerRun, int shared_mem_size, - int *d_numIns, int *finalStruct) { - - - int blockX = - (int) ceil((double) insPerRun / ((double) threadsPerBlock * 2)); - - //Iterates over the three areas created in the first kernel - for (unsigned int a = 0; a < 3; a++) { - - int offset = a * insPerRun * classPerRun; - unsigned int numThreads = insPerRun; - - - -// int numBlocks = (int) ceil(blockX / (double) N); - int numBlocks = blockX; - - //Runs the reduction until the number of blocks is 0 - while (numBlocks > 0) { - // setup execution parameters - dim3 grid(numBlocks, classPerRun, 1); - dim3 threads(threadsPerBlock, 1, 1); - - //OJO - reduction6<<< grid, threads, - shared_mem_size >>> (&d_numIns[offset], finalStruct, - numThreads, insPerRun,a); - cudaThreadSynchronize(); - cutilCheckMsg("Kernel execution failed"); - - numThreads = numBlocks; - numBlocks = (numBlocks == 1 ? 0 : (int) ceil((double) numThreads - / (double) (threadsPerBlock))); -// numBlocks = (numBlocks == 1 ? 0 : (int) ceil((double) numThreads -// / (double) (threadsPerBlock * N))); - - } - - } - -} - -inline void launchKernelsReal(int instancesPerRun, int classifiersPerRun, - int maxNumAtt, int numAttIns, int classChecked, int *d_numIns, int *finalStruct, - int **counters, int strataOffset) { - - - - unsigned int shared_mem_size = sizeof(int) * threadsPerBlock; - - int blockX = (int) ceil((double) instancesPerRun - / - (double) threadsPerBlock); - - // ************ first kernel ********** - - launchMatchReal(instancesPerRun, classifiersPerRun, blockX, maxNumAtt, - numAttIns, shared_mem_size, d_numIns, finalStruct, strataOffset); - - // *********** second kernel ********** - - if (blockX > 1) { - launchReduction(blockX, classifiersPerRun, shared_mem_size, d_numIns, finalStruct); - } - - - // Copy the memory from device to host and the organize it into de counter structure - int size = sizeof(int) * classifiersPerRun * 3; - int * result = (int *) malloc(size); - cutilSafeCall(cudaMemcpy(result, finalStruct, size, cudaMemcpyDeviceToHost)); - - for (unsigned int classi = 0; classi < classifiersPerRun; classi++) { - - int offset = classi * 3; - counters[classChecked + classi][0] += result[offset]; - counters[classChecked + classi][1] += result[offset + 1]; - counters[classChecked + classi][2] += result[offset + 2]; - - } - - -} - -inline void launchKernelsNominal(int instancesPerRun, int classifiersPerRun, - int classChecked, int atts, int ruleSize, int *d_numIns, int **counters, - int strataOffset) { - - unsigned int shared_mem_size = sizeof(int) * threadsPerBlock; - - int blockX = (int) ceil((double) instancesPerRun - / - (double) threadsPerBlock); - - // ************ first kernel ********** - - launchMatchNominal(instancesPerRun, classifiersPerRun, blockX, - shared_mem_size, atts, ruleSize, d_numIns, strataOffset); - - // *********** second kernel ********** - - if (blockX > 1) { - launchReduction(blockX, classifiersPerRun, shared_mem_size, d_numIns, d_numIns); - } - - int size = sizeof(int) * classifiersPerRun * 3; - int * result = (int *) malloc(size); - cutilSafeCall(cudaMemcpy(result, d_numIns, size, cudaMemcpyDeviceToHost)); - - for (unsigned int classi = 0; classi < classifiersPerRun; classi++) { - - int offset = classi * 3; - counters[classChecked + classi][0] += result[offset]; - counters[classChecked + classi][1] += result[offset + 1]; - counters[classChecked + classi][2] += result[offset + 2]; - - } - - -} - -inline void launchKernelsMixed(int instancesPerRun, int classifiersPerRun, - int maxNumAtt, int ruleSize, int numAttIns, int classChecked, - int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - - unsigned int shared_mem_size = sizeof(int) * threadsPerBlock; - - int blockX = (int) ceil((double) instancesPerRun - / - (double) threadsPerBlock); - - // ************ first kernel ********** - - launchMatchMixed(instancesPerRun, classifiersPerRun, blockX, maxNumAtt, - ruleSize, numAttIns, shared_mem_size, d_numIns, finalStruct, strataOffset); - - // *********** second kernel ********** - - if (blockX > 1) { - launchReduction(blockX, classifiersPerRun, shared_mem_size, d_numIns, finalStruct); - } - - // Copy the memory from device to host and the organize it into de counter structure - int size = sizeof(int) * classifiersPerRun * 3; - int * result = (int *) malloc(size); - cutilSafeCall(cudaMemcpy(result, finalStruct, size, cudaMemcpyDeviceToHost)); - - for (unsigned int classi = 0; classi < classifiersPerRun; classi++) { - - int offset = classi * 3; - counters[classChecked + classi][0] += result[offset]; - counters[classChecked + classi][1] += result[offset + 1]; - counters[classChecked + classi][2] += result[offset + 2]; - - } - -} - -inline void allocateInstanceMemory(int realValuesSize, int realClassesSize) { - // Allocating instance memory - cutilSafeCall(cudaMalloc((void **) &d_realValues, realValuesSize)); - cutilSafeCall(cudaMalloc((void **) &d_realClasses, realClassesSize)); - -} - -extern "C" void freeInstanceMemory() { - - // Setting free the instance memory - cudaFree(d_realValues); - cudaFree(d_realClasses); - -} - -inline void allocateClassifiersMemoryReal(int predSize, int whichSize, - int infoSize) { - // Allocating real classifiers memory - cutilSafeCall(cudaMalloc((void **) &d_whichAtt, whichSize)); - cutilSafeCall(cudaMalloc((void **) &d_predicates, predSize)); - cutilSafeCall(cudaMalloc((void **) &d_info, infoSize)); -} - -inline void allocateClassifiersMemoryNominal(int ruleSize) { - cutilSafeCall(cudaMalloc((void **) &d_chromosome, ruleSize)); - -} - -inline void allocateClassifiersMemoryMixed(int predSize, int whichSize, - int infoSize, int offsetPredSize) { - // Allocating mixed classifiers memory - cutilSafeCall(cudaMalloc((void **) &d_whichAtt, whichSize)); - cutilSafeCall(cudaMalloc((void **) &d_predicates, predSize)); - cutilSafeCall(cudaMalloc((void **) &d_info, infoSize)); - cutilSafeCall(cudaMalloc((void **) &d_offsetPred, offsetPredSize)); -} - -inline void freeClassifiersMemoryReal() { - // Seting free the classifier memory - cudaFree(d_predicates); - cudaFree(d_info); - cudaFree(d_whichAtt); - -} - -inline void freeClassifiersMemoryNominal() { - // Seting free the classifier memory - cudaFree(d_chromosome); - -} - -inline void freeClassifiersMemoryMixed() { - // Seting free the classifier memory - cudaFree(d_predicates); - cudaFree(d_info); - cudaFree(d_whichAtt); - cudaFree(d_offsetPred); - -} - - -extern "C" void copyStaticClassifierInfo(int atts, int *offsetPredicates, - int offsetPredSize) { - - // This information is static a doesn't not chance during the whole execution of the GA. - cutilSafeCall(cudaMemcpyToSymbol(c_numAtts, &atts, 1, 0, - cudaMemcpyHostToDevice)); - cutilSafeCall(cudaMemcpyToSymbol(c_offsetAttribute, offsetPredicates, - offsetPredSize, 0, cudaMemcpyHostToDevice)); - -} - -inline void copyInstanceMemoryReal(int numInstances, int insChecked, int atts, - int *instancesPerRun, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize) { - - // Adjusting the instances per run parameter for the last iteration - if (*instancesPerRun > numInstances - insChecked) { - *instancesPerRun = numInstances - insChecked; - - realClassesSize = sizeof(int) * (*instancesPerRun); - realValuesSize = sizeof(float) * (*instancesPerRun) * atts; - - } - - - // Copying the instance data into the device memory - cutilSafeCall(cudaMemcpy(d_realValues, &(realValues[insChecked * atts]), - realValuesSize, cudaMemcpyHostToDevice)); - - cutilSafeCall(cudaMemcpy(d_realClasses, &(realClasses[insChecked]), - realClassesSize, cudaMemcpyHostToDevice)); - - -} - -inline void copyInstanceMemoryMixed(int numInstances, int insChecked, int atts, - int *instancesPerRun, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize) { - - - // Adjusting the instances per run parameter for the last iteration - if (*instancesPerRun > numInstances - insChecked) { - *instancesPerRun = numInstances - insChecked; - - realClassesSize = sizeof(int) * (*instancesPerRun); - realValuesSize = sizeof(float) * (*instancesPerRun) * atts; - - } - - - // Copying the instance data into the device memory - cutilSafeCall(cudaMemcpy(d_realValues, &(realValues[insChecked * atts]), - realValuesSize, cudaMemcpyHostToDevice)); - - cutilSafeCall(cudaMemcpy(d_realClasses, &(realClasses[insChecked]), - realClassesSize, cudaMemcpyHostToDevice)); - - cutilSafeCall(cudaMemcpyToSymbol(c_typeOfAttribute, typeOfAttributes, - typeOfAttSize, 0, cudaMemcpyHostToDevice)); - - -} - - -// This function is called by functions.cpp to allocate the instances at the beginning -extern "C" void allocateInstanceMemoryCuda(int realValuesSize, int realClassesSize) { - allocateInstanceMemory(realValuesSize, realClassesSize); -} - -// This function is called by functions.cpp to copy the instances at the beginning -extern "C" void copyInstancesToDeviceCudaReal(int numInstances, int atts, - int *instancesPerRun, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize) { - - copyInstanceMemoryReal(numInstances, 0, atts, instancesPerRun, realValues, - realValuesSize, realClasses, realClassesSize); - -} - -// This function is called by functions.cpp to copy the instances at the beginning -extern "C" void copyInstancesToDeviceCudaMixed(int numInstances, int atts, - int *instancesPerRun, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize) { - - - copyInstanceMemoryMixed(numInstances, 0, atts, instancesPerRun, realValues, - realValuesSize, realClasses, realClassesSize, typeOfAttributes, - typeOfAttSize); - -} - - - -inline void copyClassifiersMemoryReal(int popSize, int classChecked, - int maxNumAtt, int *classifiersPerRun, float *predicates, int predSize, - int *whichAtt, int whichSize, ClassifierInfo * info, int infoSize) { - - - // Adjusting the classifiers per run for the last iterations - if (*classifiersPerRun > popSize - classChecked) { - *classifiersPerRun = popSize - classChecked; - - predSize = sizeof(float) * (*classifiersPerRun) * maxNumAtt * 2; - whichSize = sizeof(int) * (*classifiersPerRun) * maxNumAtt; - - } - - // Copying pop info into the device memory - cutilSafeCall(cudaMemcpy(d_predicates, &(predicates[classChecked - * maxNumAtt * 2]), predSize, cudaMemcpyHostToDevice)); - cutilSafeCall(cudaMemcpy(d_whichAtt, &(whichAtt[classChecked * maxNumAtt]), - whichSize, cudaMemcpyHostToDevice)); - cutilSafeCall(cudaMemcpy(d_info, &(info[classChecked]), infoSize, - cudaMemcpyHostToDevice)); - - -} - -inline void copyClassifiersMemoryNominal(int popSize, int classChecked, - int *classifiersPerRun, int ruleSize, unsigned char *chromosome, - int chromosomeSize) { - - - // Adjusting the classifiers per run for the last iterations - if (*classifiersPerRun > popSize - classChecked) { - *classifiersPerRun = popSize - classChecked; - - chromosomeSize = sizeof(unsigned char) * (*classifiersPerRun) - * ruleSize; - - } - - // Copying pop info into the device memory - cutilSafeCall(cudaMemcpy(d_chromosome, - &(chromosome[classChecked * ruleSize]), chromosomeSize, - cudaMemcpyHostToDevice)); - - -} - -inline void copyClassifiersMemoryMixed(int popSize, int classChecked, - int maxNumAtt, int ruleSize, int *classifiersPerRun, float *predicates, - int predSize, int *whichAtt, int whichSize, ClassifierInfo * info, - int infoSize, int * offsetPred, int offsetPredSize) { - - - // Adjusting the classifiers per run for the last iterations - if (*classifiersPerRun > popSize - classChecked) { - *classifiersPerRun = popSize - classChecked; - - predSize = sizeof(float) * (*classifiersPerRun) * ruleSize; - whichSize = sizeof(int) * (*classifiersPerRun) * maxNumAtt; - - offsetPredSize = whichSize; - - } - - // Copying pop info into the device memory - cutilSafeCall(cudaMemcpy(d_predicates, - &(predicates[classChecked * ruleSize]), predSize, - cudaMemcpyHostToDevice)); - cutilSafeCall(cudaMemcpy(d_whichAtt, &(whichAtt[classChecked * maxNumAtt]), - whichSize, cudaMemcpyHostToDevice)); - - cutilSafeCall(cudaMemcpy(d_info, &(info[classChecked]), infoSize, - cudaMemcpyHostToDevice)); - cutilSafeCall(cudaMemcpy(d_offsetPred, &(offsetPred[classChecked - * maxNumAtt]), offsetPredSize, cudaMemcpyHostToDevice)); - - -} - -inline void iteratingOverClassifiersReal(int popSize, int numInstances, - int maxNumAtt, int atts, int classifiersPerRun, int instancesPerRun, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - // Iterating over the classifiers to copy the info into device memory and calculate de counters - int classifiersPerRunOrig = classifiersPerRun; - for (int classChecked = 0; classChecked < popSize; classChecked - = classChecked + classifiersPerRun) { - - copyClassifiersMemoryReal(popSize, classChecked, maxNumAtt, - &classifiersPerRun, predicates, predSize, whichAtt, whichSize, - info, infoSize); - - int instancesPerRunOrig = instancesPerRun; - // Iterate over the instances to copy into device memory and calculate the counters - for (int insChecked = 0; insChecked < numInstances; insChecked - = insChecked + instancesPerRun) { - - copyInstanceMemoryReal(numInstances, insChecked, atts, - &instancesPerRun, realValues, realValuesSize, realClasses, - realClassesSize); - - launchKernelsReal(instancesPerRun, classifiersPerRun, maxNumAtt, - atts, classChecked, d_numIns, finalStruct, counters, strataOffset); - - } - - instancesPerRun = instancesPerRunOrig; - - } - classifiersPerRun = classifiersPerRunOrig; -} - -inline void iteratingOverClassifiersNominal(int popSize, int numInstances, - int atts, int ruleSize, int classifiersPerRun, int instancesPerRun, - unsigned char * chromosome, int chromosomeSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int *d_numIns, int **counters, int strataOffset) { - - // Iterating over the classifiers to copy the info into device memory and calculate de counters - int classifiersPerRunOrig = classifiersPerRun; - for (int classChecked = 0; classChecked < popSize; classChecked - = classChecked + classifiersPerRun) { - - copyClassifiersMemoryNominal(popSize, classChecked, &classifiersPerRun, - ruleSize, chromosome, chromosomeSize); - - int instancesPerRunOrig = instancesPerRun; - // Iterate over the instances to copy into device memory and calculate the counters - for (int insChecked = 0; insChecked < numInstances; insChecked - = insChecked + instancesPerRun) { - - copyInstanceMemoryReal(numInstances, insChecked, atts, - &instancesPerRun, realValues, realValuesSize, realClasses, - realClassesSize); - - launchKernelsNominal(instancesPerRun, classifiersPerRun, - classChecked, atts, ruleSize, d_numIns, counters, strataOffset); - - } - - instancesPerRun = instancesPerRunOrig; - - } - classifiersPerRun = classifiersPerRunOrig; -} - -inline void iteratingOverClassifiersMixed(int popSize, int numInstances, - int maxNumAtt, int ruleSize, int atts, int classifiersPerRun, - int instancesPerRun, float *predicates, int predSize, int *whichAtt, - int whichSize, ClassifierInfo * info, int infoSize, int * offsetPred, - int offsetPredSize, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize, int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - // Iterating over the classifiers to copy the info into device memory and calculate de counters - int classifiersPerRunOrig = classifiersPerRun; - for (int classChecked = 0; classChecked < popSize; classChecked - = classChecked + classifiersPerRun) { - - copyClassifiersMemoryMixed(popSize, classChecked, maxNumAtt, ruleSize, - &classifiersPerRun, predicates, predSize, whichAtt, whichSize, - info, infoSize, offsetPred, offsetPredSize); - - int instancesPerRunOrig = instancesPerRun; - // Iterate over the instances to copy into device memory and calculate the counters - for (int insChecked = 0; insChecked < numInstances; insChecked - = insChecked + instancesPerRun) { - - copyInstanceMemoryMixed(numInstances, insChecked, atts, - &instancesPerRun, realValues, realValuesSize, realClasses, - realClassesSize, typeOfAttributes, typeOfAttSize); - - launchKernelsMixed(instancesPerRun, classifiersPerRun, maxNumAtt, - ruleSize, atts, classChecked, d_numIns, finalStruct, counters, strataOffset); - - } - - instancesPerRun = instancesPerRunOrig; - - } - classifiersPerRun = classifiersPerRunOrig; -} - -inline void iteratingOverInstancesReal(int popSize, int numInstances, - int maxNumAtt, int atts, int classifiersPerRun, int instancesPerRun, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - // Iterate over the instances to copy into device memory and calculate the counters - int instancesPerRunOrig = instancesPerRun; - for (int insChecked = 0; insChecked < numInstances; insChecked - += instancesPerRun) { - - copyInstanceMemoryReal(numInstances, insChecked, atts, - &instancesPerRun, realValues, realValuesSize, realClasses, - realClassesSize); - - int classifiersPerRunOrig = classifiersPerRun; - // Iterating over the classifiers to copy the info into device memory and calculate de counters - for (int classChecked = 0; classChecked < popSize; classChecked - += classifiersPerRun) { - - copyClassifiersMemoryReal(popSize, classChecked, maxNumAtt, - &classifiersPerRun, predicates, predSize, whichAtt, - whichSize, info, infoSize); - - launchKernelsReal(instancesPerRun, classifiersPerRun, maxNumAtt, - atts, classChecked, d_numIns,finalStruct, counters, strataOffset); - - } - - classifiersPerRun = classifiersPerRunOrig; - - } - instancesPerRun = instancesPerRunOrig; -} - -inline void iteratingOverInstancesNominal(int popSize, int numInstances, - int atts, int ruleSize, int classifiersPerRun, int instancesPerRun, - unsigned char * chromosome, int chromosomeSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int *d_numIns, int **counters, int strataOffset) { - - // Iterate over the instances to copy into device memory and calculate the counters - int instancesPerRunOrig = instancesPerRun; - for (int insChecked = 0; insChecked < numInstances; insChecked - += instancesPerRun) { - - copyInstanceMemoryReal(numInstances, insChecked, atts, - &instancesPerRun, realValues, realValuesSize, realClasses, - realClassesSize); - - int classifiersPerRunOrig = classifiersPerRun; - // Iterating over the classifiers to copy the info into device memory and calculate de counters - for (int classChecked = 0; classChecked < popSize; classChecked - += classifiersPerRun) { - - copyClassifiersMemoryNominal(popSize, classChecked, - &classifiersPerRun, ruleSize, chromosome, chromosomeSize); - - launchKernelsNominal(instancesPerRun, classifiersPerRun, - classChecked, atts, ruleSize, d_numIns, counters, strataOffset); - - } - - classifiersPerRun = classifiersPerRunOrig; - - } - instancesPerRun = instancesPerRunOrig; -} - -inline void iteratingOverInstancesMixed(int popSize, int numInstances, - int maxNumAtt, int ruleSize, int atts, int classifiersPerRun, - int instancesPerRun, float *predicates, int predSize, int *whichAtt, - int whichSize, ClassifierInfo * info, int infoSize, int * offsetPred, - int offsetPredSize, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize, int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - // Iterate over the instances to copy into device memory and calculate the counters - int instancesPerRunOrig = instancesPerRun; - for (int insChecked = 0; insChecked < numInstances; insChecked - += instancesPerRun) { - - copyInstanceMemoryMixed(numInstances, insChecked, atts, - &instancesPerRun, realValues, realValuesSize, realClasses, - realClassesSize, typeOfAttributes, typeOfAttSize); - - - int classifiersPerRunOrig = classifiersPerRun; - // Iterating over the classifiers to copy the info into device memory and calculate de counters - for (int classChecked = 0; classChecked < popSize; classChecked - += classifiersPerRun) { - - copyClassifiersMemoryMixed(popSize, classChecked, maxNumAtt, - ruleSize, &classifiersPerRun, predicates, predSize, - whichAtt, whichSize, info, infoSize, offsetPred, - offsetPredSize); - - launchKernelsMixed(instancesPerRun, classifiersPerRun, maxNumAtt, - ruleSize, atts, classChecked, d_numIns, finalStruct, counters, strataOffset); - - } - - classifiersPerRun = classifiersPerRunOrig; - - } - instancesPerRun = instancesPerRunOrig; -} - -void onlyIterateClassifiersReal(int popSize, int maxNumAtt, int atts, - int classifiersPerRun, int instancesPerRun, float *predicates, - int predSize, int *whichAtt, int whichSize, ClassifierInfo * info, - int infoSize, int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - for (int classChecked = 0; classChecked < popSize; classChecked - += classifiersPerRun) { - - copyClassifiersMemoryReal(popSize, classChecked, maxNumAtt, - &classifiersPerRun, predicates, predSize, whichAtt, whichSize, - info, infoSize); - - launchKernelsReal(instancesPerRun, classifiersPerRun, maxNumAtt, atts, - classChecked, d_numIns, finalStruct, counters, strataOffset); - - } -} - -void onlyIterateClassifiersNominal(int popSize, int classifiersPerRun, - int instancesPerRun, int atts, int ruleSize, unsigned char *chromosome, - int chromosomeSize, int *d_numIns, int **counters, int strataOffset) { - - for (int classChecked = 0; classChecked < popSize; classChecked - += classifiersPerRun) { - - copyClassifiersMemoryNominal(popSize, classChecked, &classifiersPerRun, - ruleSize, chromosome, chromosomeSize); - - launchKernelsNominal(instancesPerRun, classifiersPerRun, classChecked, - atts, ruleSize, d_numIns, counters, strataOffset); - - } -} - -void onlyIterateClassifiersMixed(int popSize, int maxNumAtt, int ruleSize, - int atts, int classifiersPerRun, int instancesPerRun, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, int * offsetPred, - int offsetPredSize, int *d_numIns, int *finalStruct, int **counters, int strataOffset) { - - for (int classChecked = 0; classChecked < popSize; classChecked - += classifiersPerRun) { - - copyClassifiersMemoryMixed(popSize, classChecked, maxNumAtt, ruleSize, - &classifiersPerRun, predicates, predSize, whichAtt, whichSize, - info, infoSize, offsetPred, offsetPredSize); - - launchKernelsMixed(instancesPerRun, classifiersPerRun, maxNumAtt, - ruleSize, atts, classChecked, d_numIns, finalStruct, counters, strataOffset); - - } -} - -extern "C" int **calculateFitnessCudaReal(int alreadyAllocatedInstances, - int maxNumAtt, int atts, int numInstances, int popSize, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int instancesPerRun, int classifiersPerRun, int strataOffset) { - - // Initializing the counters for each classifier. This counters will be updated - // after each run, because it is possible that we wont be able to check all the - // classifiers at the same time. - int **counters = (int **) malloc(sizeof(int *) * popSize); - for (int i = 0; i < popSize; i++) { - counters[i] = (int *) malloc(sizeof(int) * 3); - counters[i][0] = 0; - counters[i][1] = 0; - counters[i][2] = 0; - } - - // Reserving device memory for instances - if (!alreadyAllocatedInstances) - allocateInstanceMemory(realValuesSize, realClassesSize); - - //Reserving device memory for classifiers - allocateClassifiersMemoryReal(predSize, whichSize, infoSize); - - - - // Initialize the device output memory - int *d_numIns; - int numInsSize = sizeof(int) * 3 * classifiersPerRun * (int) ceil( - (double) instancesPerRun / (double) threadsPerBlock); - - cutilSafeCall(cudaMalloc((void **) &d_numIns, numInsSize)); - - int *finalStruct; - cutilSafeCall(cudaMalloc((void **) &finalStruct, sizeof(int) * 3 * classifiersPerRun)); - - if (alreadyAllocatedInstances) { - onlyIterateClassifiersReal(popSize, maxNumAtt, atts, classifiersPerRun, - instancesPerRun, predicates, predSize, whichAtt, whichSize, - info, infoSize, d_numIns, finalStruct, counters, strataOffset); - - } else if (classifiersPerRun == popSize) { - iteratingOverClassifiersReal(popSize, numInstances, maxNumAtt, atts, - classifiersPerRun, instancesPerRun, predicates, predSize, - whichAtt, whichSize, info, infoSize, realValues, - realValuesSize, realClasses, realClassesSize, d_numIns, finalStruct, - counters,strataOffset); - } else { - iteratingOverInstancesReal(popSize, numInstances, maxNumAtt, atts, - classifiersPerRun, instancesPerRun, predicates, predSize, - whichAtt, whichSize, info, infoSize, realValues, - realValuesSize, realClasses, realClassesSize, d_numIns, finalStruct, - counters,strataOffset); - } - - if (!alreadyAllocatedInstances) - freeInstanceMemory(); - freeClassifiersMemoryReal(); - cudaFree(d_numIns); - cudaFree(finalStruct); - - return counters; - -} - -extern "C" int **calculateFitnessCudaNominal(int alreadyAllocatedInstances, - int numInstances, int popSize, int atts, int ruleSize, - unsigned char *chromosome, int chromosomeSize, float *realValues, - int realValuesSize, int *realClasses, int realClassesSize, - int instancesPerRun, int classifiersPerRun, int strataOffset) { - - // Initializing the counters for each classifier. This counters will be updated - // after each run, because it is possible that we wont be able to check all the - // classifiers at the same time. - int **counters = (int **) malloc(sizeof(int *) * popSize); - for (int i = 0; i < popSize; i++) { - counters[i] = (int *) malloc(sizeof(int) * 3); - counters[i][0] = 0; - counters[i][1] = 0; - counters[i][2] = 0; - } - - // Reserving device memory for instances - if (!alreadyAllocatedInstances) - allocateInstanceMemory(realValuesSize, realClassesSize); - - //Reserving device memory for classifiers - allocateClassifiersMemoryNominal(ruleSize); - - // Initialize the device output memory - int *d_numIns; - int numInsSize = sizeof(int) * 3 * classifiersPerRun * (int) ceil( - (double) instancesPerRun / (double) threadsPerBlock); - cutilSafeCall(cudaMalloc((void **) &d_numIns, numInsSize)); - - if (alreadyAllocatedInstances) { - onlyIterateClassifiersNominal(popSize, classifiersPerRun, - instancesPerRun, atts, ruleSize, chromosome, chromosomeSize, - d_numIns, counters, strataOffset); - - } else if (classifiersPerRun == popSize) { - iteratingOverClassifiersNominal(popSize, numInstances, atts, ruleSize, - classifiersPerRun, instancesPerRun, chromosome, chromosomeSize, - realValues, realValuesSize, realClasses, realClassesSize, - d_numIns, counters,strataOffset); - } else { - iteratingOverInstancesNominal(popSize, numInstances, atts, ruleSize, - classifiersPerRun, instancesPerRun, chromosome, chromosomeSize, - realValues, realValuesSize, realClasses, realClassesSize, - d_numIns, counters,strataOffset); - } - - if (!alreadyAllocatedInstances) - freeInstanceMemory(); - freeClassifiersMemoryNominal(); - cudaFree(d_numIns); - - return counters; - -} - -extern "C" int **calculateFitnessCudaMixed(int alreadyAllocatedInstances, - int maxNumAtt, int ruleSize, int atts, int numInstances, int popSize, - float *predicates, int predSize, int *whichAtt, int whichSize, - ClassifierInfo * info, int infoSize, int * offsetPred, - int offsetPredSize, float *realValues, int realValuesSize, - int *realClasses, int realClassesSize, int * typeOfAttributes, - int typeOfAttSize, int instancesPerRun, int classifiersPerRun, - int strataOffset) { - - // Initializing the counters for each classifier. This counters will be updated - // after each run, because it is possible that we wont be able to check all the - // classifiers at the same time. - int **counters = (int **) malloc(sizeof(int *) * popSize); - for (int i = 0; i < popSize; i++) { - counters[i] = (int *) malloc(sizeof(int) * 3); - counters[i][0] = 0; - counters[i][1] = 0; - counters[i][2] = 0; - } - - // Reserving device memory for instances - if (!alreadyAllocatedInstances) { - allocateInstanceMemory(realValuesSize, realClassesSize); - } - - //Reserving device memory for classifiers - allocateClassifiersMemoryMixed(predSize, whichSize, infoSize, - offsetPredSize); - - - - // Initialize the device output memory - int *d_numIns; - int numInsSize = sizeof(int) * 3 * classifiersPerRun * (int) ceil( - (double) instancesPerRun / (double) threadsPerBlock); - - - cutilSafeCall(cudaMalloc((void **) &d_numIns, numInsSize)); - - int *finalStruct; - cutilSafeCall(cudaMalloc((void **) &finalStruct, sizeof(int) * 3 * classifiersPerRun)); - - if (alreadyAllocatedInstances) { - onlyIterateClassifiersMixed(popSize, maxNumAtt, ruleSize, atts, - classifiersPerRun, instancesPerRun, predicates, predSize, - whichAtt, whichSize, info, infoSize, offsetPred, - offsetPredSize, d_numIns, finalStruct, counters, strataOffset); - - } else if (classifiersPerRun == popSize) { - iteratingOverClassifiersMixed(popSize, numInstances, maxNumAtt, - ruleSize, atts, classifiersPerRun, instancesPerRun, predicates, - predSize, whichAtt, whichSize, info, infoSize, offsetPred, - offsetPredSize, realValues, realValuesSize, realClasses, - realClassesSize, typeOfAttributes, typeOfAttSize, d_numIns, finalStruct, - counters, strataOffset); - } else { - iteratingOverInstancesMixed(popSize, numInstances, maxNumAtt, ruleSize, - atts, classifiersPerRun, instancesPerRun, predicates, predSize, - whichAtt, whichSize, info, infoSize, offsetPred, - offsetPredSize, realValues, realValuesSize, realClasses, - realClassesSize, typeOfAttributes, typeOfAttSize, d_numIns, finalStruct, - counters, strataOffset); - } - - if (!alreadyAllocatedInstances) - freeInstanceMemory(); - freeClassifiersMemoryMixed(); - cudaFree(d_numIns); - cudaFree(finalStruct); - - return counters; - -} - -//template < unsigned int blockSize > -__global__ static void cudaCalculateMatchReal(int insPerRun, - int classPerRun, - int maxNumAtt, int numAttIns, - float *predicates, - int *whichAtt, - ClassifierInfo * info, - float *realValues, - int *realClasses, - int *numIns, - int *finalStruct) -{ - - // Calculating the classifier and instance indexes inside the device structures - int insIndex = blockIdx.x * blockDim.x + threadIdx.x; - int classIndex = blockIdx.y * blockDim.y + threadIdx.y; - int tid = threadIdx.x; - - extern __shared__ int sdata[]; - - unsigned int tidDim = tid * 3; - - // If this data indexes exist - if (insIndex < insPerRun && classIndex < classPerRun) { - - // Calculate match for the classifier and instance pair - int attIndex = classIndex * maxNumAtt; - int end=attIndex+info[classIndex].numAtt; - int predOffset = attIndex * 2; - int base = insIndex * numAttIns; - int res = 1; - - for (; res && attIndex predicates[predOffset + 1]) res = 0; - } - - int action = (realClasses[insIndex] == info[classIndex].predictedClass); - - sdata[tidDim] = res; - sdata[tidDim + 1] = action; - sdata[tidDim + 2] = action && res; - } else { - sdata[tidDim] = 0; - sdata[tidDim + 1] = 0; - sdata[tidDim + 2] = 0; - } - - __syncthreads(); - - // do reduction in shared mem - if (blockDim.x == 1024 && tid < 512) { - sdata[tidDim] += sdata[tidDim + 1536]; - sdata[tidDim + 1] += sdata[tidDim + 1537]; - sdata[tidDim + 2] += sdata[tidDim + 1538]; - } - __syncthreads(); - if (tid < 256) { - sdata[tidDim] += sdata[tidDim + 768]; - sdata[tidDim + 1] += sdata[tidDim + 769]; - sdata[tidDim + 2] += sdata[tidDim + 770]; - } - __syncthreads(); - if (tid < 128) { - sdata[tidDim] += sdata[tidDim + 384]; - sdata[tidDim + 1] += sdata[tidDim + 385]; - sdata[tidDim + 2] += sdata[tidDim + 386]; - } - __syncthreads(); - if (tid < 64) { - sdata[tidDim] += sdata[tidDim + 192]; - sdata[tidDim + 1] += sdata[tidDim + 193]; - sdata[tidDim + 2] += sdata[tidDim + 194]; - } - __syncthreads(); - -#ifndef __DEVICE_EMULATION__ - if (tid < 32) -#endif - { - volatile int *sd=sdata; - - sd[tidDim] += sd[tidDim + 96]; - sd[tidDim + 1] += sd[tidDim + 97]; - sd[tidDim + 2] += sd[tidDim + 98]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 48]; - sd[tidDim + 1] += sd[tidDim + 49]; - sd[tidDim + 2] += sd[tidDim + 50]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 24]; - sd[tidDim + 1] += sd[tidDim + 25]; - sd[tidDim + 2] += sd[tidDim + 26]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 12]; - sd[tidDim + 1] += sd[tidDim + 13]; - sd[tidDim + 2] += sd[tidDim + 14]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 6]; - sd[tidDim + 1] += sd[tidDim + 7]; - sd[tidDim + 2] += sd[tidDim + 8]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 3]; - sd[tidDim + 1] += sd[tidDim + 4]; - sd[tidDim + 2] += sd[tidDim + 5]; - EMUSYNC; - } - - if (tid == 0) { - - if (gridDim.x == 1) { - - int offset = classIndex*3; - finalStruct[offset] = sdata[0]; - finalStruct[offset + 1] = sdata[1]; - finalStruct[offset + 2] = sdata[2]; - } else { - - int numInsIndex = classIndex * gridDim.x + blockIdx.x; - int numInsOffset = gridDim.x * classPerRun; - - numIns[numInsIndex] = sdata[0]; - numInsIndex+=numInsOffset; - numIns[numInsIndex] = sdata[1]; - numInsIndex+=numInsOffset; - numIns[numInsIndex] = sdata[2]; - } - - } - -} - -//template < unsigned int blockSize > -__global__ static void cudaCalculateMatchNominal(int insPerRun, - int classPerRun, - int ruleSize, - unsigned char *chromosome, - float *realValues, - int *realClasses, - int *numIns) -{ - - // Calculating the classifier and instance indexes inside the device structures - int insIndex = blockIdx.x * blockDim.x + threadIdx.x; - int classIndex = blockIdx.y * blockDim.y + threadIdx.y; - int tid = threadIdx.x; - - extern __shared__ int sdata[]; - - unsigned int tidDim = tid * 3; - - // If this data indexes exist - if (insIndex < insPerRun && classIndex < classPerRun) { - - // Calculate match for the classifier and instance pair - int j; - int res = 1; - - - for (j = 0; res && j < c_numAtts[0]; j++) { - - if (chromosome[classIndex * ruleSize + c_offsetAttribute[j] - + (unsigned char)realValues[insIndex * c_numAtts[0] + j]] == 0) { - res = 0; - } - - } - - int action = - (realClasses[insIndex] == - chromosome[classIndex*ruleSize + ruleSize - 1]); - - sdata[tidDim] = res; - sdata[tidDim + 1] = action; - sdata[tidDim + 2] = action && res; - } else { - sdata[tidDim] = 0; - sdata[tidDim + 1] = 0; - sdata[tidDim + 2] = 0; - } - - __syncthreads(); - - // do reduction in shared mem - if (blockDim.x == 1024 && tid < 512) { - sdata[tidDim] += sdata[tidDim + 1536]; - sdata[tidDim + 1] += sdata[tidDim + 1537]; - sdata[tidDim + 2] += sdata[tidDim + 1538]; - } - __syncthreads(); - if (tid < 256) { - sdata[tidDim] += sdata[tidDim + 768]; - sdata[tidDim + 1] += sdata[tidDim + 769]; - sdata[tidDim + 2] += sdata[tidDim + 770]; - } - __syncthreads(); - if (tid < 128) { - sdata[tidDim] += sdata[tidDim + 384]; - sdata[tidDim + 1] += sdata[tidDim + 385]; - sdata[tidDim + 2] += sdata[tidDim + 386]; - } - __syncthreads(); - if (tid < 64) { - sdata[tidDim] += sdata[tidDim + 192]; - sdata[tidDim + 1] += sdata[tidDim + 193]; - sdata[tidDim + 2] += sdata[tidDim + 194]; - } - __syncthreads(); - -#ifndef __DEVICE_EMULATION__ - if (tid < 32) -#endif - { - sdata[tidDim] += sdata[tidDim + 96]; - sdata[tidDim + 1] += sdata[tidDim + 97]; - sdata[tidDim + 2] += sdata[tidDim + 98]; - EMUSYNC; - - sdata[tidDim] += sdata[tidDim + 48]; - sdata[tidDim + 1] += sdata[tidDim + 49]; - sdata[tidDim + 2] += sdata[tidDim + 50]; - EMUSYNC; - - sdata[tidDim] += sdata[tidDim + 24]; - sdata[tidDim + 1] += sdata[tidDim + 25]; - sdata[tidDim + 2] += sdata[tidDim + 26]; - EMUSYNC; - - sdata[tidDim] += sdata[tidDim + 12]; - sdata[tidDim + 1] += sdata[tidDim + 13]; - sdata[tidDim + 2] += sdata[tidDim + 14]; - EMUSYNC; - - sdata[tidDim] += sdata[tidDim + 6]; - sdata[tidDim + 1] += sdata[tidDim + 7]; - sdata[tidDim + 2] += sdata[tidDim + 8]; - EMUSYNC; - - sdata[tidDim] += sdata[tidDim + 3]; - sdata[tidDim + 1] += sdata[tidDim + 4]; - sdata[tidDim + 2] += sdata[tidDim + 5]; - EMUSYNC; - } - - if (tid == 0) { - - if (gridDim.x == 1) { - - int offset = classIndex*3; - numIns[offset] = sdata[0]; - numIns[offset + 1] = sdata[1]; - numIns[offset + 2] = sdata[2]; - } else { - - int numInsIndex = classIndex * gridDim.x + blockIdx.x; - int numInsOffset = gridDim.x * classPerRun; - - numIns[numInsIndex] = sdata[0]; - numInsIndex+=numInsOffset; - numIns[numInsIndex] = sdata[1]; - numInsIndex+=numInsOffset; - numIns[numInsIndex] = sdata[2]; - } - - } - -} - -//template < unsigned int blockSize > -__global__ static void cudaCalculateMatchMixed(int insPerRun, - int classPerRun, - int maxNumAtt, int ruleSize, int numAttIns, - float *predicates, - int *whichAtt, - ClassifierInfo * info, - int * offsetPredicates, - float *realValues, - int *realClasses, - int *numIns, - int *finalStruct) -{ - - // Calculating the classifier and instance indexes inside the device structures - int insIndex = blockIdx.x * blockDim.x + threadIdx.x; - int classIndex = blockIdx.y * blockDim.y + threadIdx.y; - int tid = threadIdx.x; - - extern __shared__ int sdata[]; - - unsigned int tidDim = tid * 3; - - // If this data indexes exist - if (insIndex < insPerRun && classIndex < classPerRun) { - - // Calculate match for the classifier and instance pair - int res = 1; - int attIndex = classIndex * maxNumAtt; - int end = attIndex+info[classIndex].numAtt; - int baseI = insIndex * numAttIns; - int baseR = classIndex * ruleSize; - - for (; res && attIndex predicates[predOffset + 1]) res = 0; - } else { - if(predicates[predOffset+(int)realValues[baseI + att]]==0) res = 0; - } - } - - - int action = (realClasses[insIndex] == info[classIndex].predictedClass); - - sdata[tidDim] = res; - sdata[tidDim + 1] = action; - sdata[tidDim + 2] = action && res; - } else { - sdata[tidDim] = 0; - sdata[tidDim + 1] = 0; - sdata[tidDim + 2] = 0; - } - - __syncthreads(); - - // do reduction in shared mem - if (blockDim.x == 1024 && tid < 512) { - sdata[tidDim] += sdata[tidDim + 1536]; - sdata[tidDim + 1] += sdata[tidDim + 1537]; - sdata[tidDim + 2] += sdata[tidDim + 1538]; - } - __syncthreads(); - if (tid < 256) { - sdata[tidDim] += sdata[tidDim + 768]; - sdata[tidDim + 1] += sdata[tidDim + 769]; - sdata[tidDim + 2] += sdata[tidDim + 770]; - } - __syncthreads(); - if (tid < 128) { - sdata[tidDim] += sdata[tidDim + 384]; - sdata[tidDim + 1] += sdata[tidDim + 385]; - sdata[tidDim + 2] += sdata[tidDim + 386]; - } - __syncthreads(); - if (tid < 64) { - sdata[tidDim] += sdata[tidDim + 192]; - sdata[tidDim + 1] += sdata[tidDim + 193]; - sdata[tidDim + 2] += sdata[tidDim + 194]; - } - __syncthreads(); - -#ifndef __DEVICE_EMULATION__ - if (tid < 32) -#endif - { - volatile int *sd=sdata; - - sd[tidDim] += sd[tidDim + 96]; - sd[tidDim + 1] += sd[tidDim + 97]; - sd[tidDim + 2] += sd[tidDim + 98]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 48]; - sd[tidDim + 1] += sd[tidDim + 49]; - sd[tidDim + 2] += sd[tidDim + 50]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 24]; - sd[tidDim + 1] += sd[tidDim + 25]; - sd[tidDim + 2] += sd[tidDim + 26]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 12]; - sd[tidDim + 1] += sd[tidDim + 13]; - sd[tidDim + 2] += sd[tidDim + 14]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 6]; - sd[tidDim + 1] += sd[tidDim + 7]; - sd[tidDim + 2] += sd[tidDim + 8]; - EMUSYNC; - - sd[tidDim] += sd[tidDim + 3]; - sd[tidDim + 1] += sd[tidDim + 4]; - sd[tidDim + 2] += sd[tidDim + 5]; - EMUSYNC; - } - - if (tid == 0) { - - if (gridDim.x == 1) { - - int offset = classIndex*3; - finalStruct[offset] = sdata[0]; - finalStruct[offset + 1] = sdata[1]; - finalStruct[offset + 2] = sdata[2]; - } else { - - int numInsIndex = classIndex * gridDim.x + blockIdx.x; - int numInsOffset = gridDim.x * classPerRun; - - numIns[numInsIndex] = sdata[0]; - numInsIndex+=numInsOffset; - numIns[numInsIndex] = sdata[1]; - numInsIndex+=numInsOffset; - numIns[numInsIndex] = sdata[2]; - } - - } - -} - -//template < unsigned int blockSize > -__global__ void reduction6(int *entrada, int * last, int totalObjects, - int arraySize, int a) -{ - - unsigned int blockSize = blockDim.x; - unsigned int classindex = blockIdx.y; - unsigned int insIndex = blockIdx.x * blockSize * 2 + threadIdx.x; - unsigned int realindex = - classindex * arraySize + blockIdx.x * blockSize * 2 + - threadIdx.x; - unsigned int tid = threadIdx.x; - unsigned int gridSize = blockSize * 2 * gridDim.x; - - extern __shared__ int sdata[]; - - sdata[tid] = 0; - - // we reduce multiple elements per thread. The number is determined by the - // number of active thread blocks (via gridSize). More blocks will result - // in a larger gridSize and therefore fewer elements per thread - - while (insIndex < totalObjects) { - - if (insIndex + blockSize < totalObjects) { - sdata[tid] += - entrada[realindex] + entrada[realindex + - blockSize]; - - } else { - sdata[tid] += entrada[realindex]; - - } - insIndex += gridSize; - realindex += gridSize; - } - - __syncthreads(); - - // do reduction in shared mem - if (blockSize == 1024 && tid < 512) { - sdata[tid] += sdata[tid + 512]; - } - __syncthreads(); - if (tid < 256) { - sdata[tid] += sdata[tid + 256]; - } - __syncthreads(); - if (tid < 128) { - sdata[tid] += sdata[tid + 128]; - } - __syncthreads(); - if (tid < 64) { - sdata[tid] += sdata[tid + 64]; - } - __syncthreads(); - -#ifndef __DEVICE_EMULATION__ - if (tid < 32) -#endif - { - volatile int *sd=sdata; - sd[tid] += sd[tid + 32]; - EMUSYNC; - sd[tid] += sd[tid + 16]; - EMUSYNC; - sd[tid] += sd[tid + 8]; - EMUSYNC; - sd[tid] += sd[tid + 4]; - EMUSYNC; - sd[tid] += sd[tid + 2]; - EMUSYNC; - sd[tid] += sd[tid + 1]; - EMUSYNC; - - } - - if(tid == 0) { - - if (gridDim.x == 1) { - last[classindex*3 + a] = sdata[0]; - } else { - entrada[classindex * arraySize + blockIdx.x] = sdata[0]; - } - } - -} diff --git a/comparison_algs_src/BioHEL/kernels.linkinfo b/comparison_algs_src/BioHEL/kernels.linkinfo deleted file mode 100644 index 29c1f36..0000000 --- a/comparison_algs_src/BioHEL/kernels.linkinfo +++ /dev/null @@ -1 +0,0 @@ - --import %laneid,%ctaid,%nctaid,sdata,%smid,A7,%pm3,%pm2,%pm1,__CC-temp__0__,%pm0,%tid,%clock,%warpid,%ntid,%gridid --export _Z23cudaCalculateMatchMixedILj512EEviiiiiPfPiP14ClassifierInfoS1_S0_S1_S1_S1_,_Z22cudaCalculateMatchRealILj512EEviiiiPfPiP14ClassifierInfoS0_S1_S1_S1_,_Z10reduction6ILj512EEvPiS0_iii,_Z25cudaCalculateMatchNominalILj512EEviiiPhPfPiS2_ \ No newline at end of file diff --git a/comparison_algs_src/BioHEL/lex.yy.cpp b/comparison_algs_src/BioHEL/lex.yy.cpp deleted file mode 100644 index 95780fe..0000000 --- a/comparison_algs_src/BioHEL/lex.yy.cpp +++ /dev/null @@ -1,3768 +0,0 @@ -#line 2 "lex.yy.cpp" - -#line 4 "lex.yy.cpp" - -#define YY_INT_ALIGNED short int - -/* A lexical scanner generated by flex */ - -#define FLEX_SCANNER -#define YY_FLEX_MAJOR_VERSION 2 -#define YY_FLEX_MINOR_VERSION 6 -#define YY_FLEX_SUBMINOR_VERSION 1 -#if YY_FLEX_SUBMINOR_VERSION > 0 -#define FLEX_BETA -#endif - -/* First, we deal with platform-specific or compiler-specific issues. */ - -/* begin standard C headers. */ -#include -#include -#include -#include - -/* end standard C headers. */ - -/* flex integer type definitions */ - -#ifndef FLEXINT_H -#define FLEXINT_H - -/* C99 systems have . 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YY_CURRENT_BUFFER ){\ - yyensure_buffer_stack (); \ - YY_CURRENT_BUFFER_LVALUE = \ - yy_create_buffer(yyin,YY_BUF_SIZE ); \ - } \ - YY_CURRENT_BUFFER_LVALUE->yy_at_bol = at_bol; \ - } - -#define YY_AT_BOL() (YY_CURRENT_BUFFER_LVALUE->yy_at_bol) - -/* Begin user sect3 */ - -typedef unsigned char YY_CHAR; - -FILE *yyin = NULL, *yyout = NULL; - -typedef int yy_state_type; - -extern int yylineno; - -int yylineno = 1; - -extern char *yytext; -#ifdef yytext_ptr -#undef yytext_ptr -#endif -#define yytext_ptr yytext - -static yy_state_type yy_get_previous_state (void ); -static yy_state_type yy_try_NUL_trans (yy_state_type current_state ); -static int yy_get_next_buffer (void ); -static void yynoreturn yy_fatal_error (yyconst char* msg ); - -/* Done after the current pattern has been matched and before the - * corresponding action - sets up yytext. - */ -#define YY_DO_BEFORE_ACTION \ - (yytext_ptr) = yy_bp; \ - yyleng = (int) (yy_cp - yy_bp); \ - (yy_hold_char) = *yy_cp; \ - *yy_cp = '\0'; \ - (yy_c_buf_p) = yy_cp; - -#define YY_NUM_RULES 90 -#define YY_END_OF_BUFFER 91 -/* This struct is not used in this scanner, - but its presence is necessary. */ -struct yy_trans_info - { - flex_int32_t yy_verify; - flex_int32_t yy_nxt; - }; -static yyconst flex_int16_t yy_accept[1540] = - { 0, - 0, 0, 91, 89, 88, 88, 89, 89, 89, 89, - 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, - 89, 89, 89, 89, 88, 0, 87, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, - 39, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 42, 42, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 43, 0, 0, 0, 0, 0, 3, 0, - 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 51, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 43, 43, 0, 0, 0, 0, - 0, 3, 3, 0, 0, 0, 0, 0, 30, 30, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 86, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 4, 0, 38, 0, 0, 0, 0, 0, 0, - 43, 0, 0, 0, 0, 0, 3, 0, 0, 0, - 0, 33, 30, 0, 31, 0, 0, 34, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 33, 33, - 0, 31, 31, 0, 0, 34, 34, 0, 0, 0, - 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 41, 0, 0, 53, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 33, 0, 31, 0, - 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 41, - 41, 66, 27, 52, 0, 68, 0, 0, 49, 0, - 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 40, 37, 0, 0, - 17, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 29, 0, - 0, 41, 0, 68, 68, 71, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, - 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 55, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 28, 0, 0, 68, 71, 71, 0, 0, - 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 10, 0, 0, 0, 71, 0, 0, - - 0, 0, 0, 0, 0, 0, 13, 0, 0, 0, - 0, 67, 0, 0, 0, 14, 0, 0, 0, 0, - 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, - 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 35, 0, 0, 0, 0, 0, 0, 0, 18, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, - 85, 8, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 35, 35, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 63, 0, 0, - 0, 0, 70, 85, 85, 0, 0, 0, 0, 0, - 50, 0, 0, 7, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, - 0, 76, 0, 22, 0, 0, 0, 0, 0, 0, - 63, 63, 0, 9, 0, 0, 70, 70, 85, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, - 0, 0, 0, 0, 0, 0, 78, 0, 0, 56, - - 79, 75, 76, 76, 20, 0, 0, 0, 0, 73, - 63, 0, 0, 0, 70, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 16, 16, 0, 0, 0, - 0, 0, 0, 78, 78, 0, 0, 56, 56, 79, - 79, 75, 75, 76, 21, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, - 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, - 0, 78, 0, 0, 56, 79, 75, 0, 0, 0, - 0, 64, 0, 59, 0, 0, 0, 0, 58, 58, - 0, 0, 0, 0, 0, 0, 0, 15, 0, 0, - - 0, 0, 0, 0, 0, 19, 0, 0, 0, 64, - 64, 0, 0, 0, 0, 0, 58, 0, 0, 0, - 0, 0, 0, 0, 15, 15, 0, 0, 0, 0, - 0, 23, 36, 0, 0, 0, 64, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, - 0, 0, 0, 0, 0, 23, 23, 36, 36, 0, - 0, 0, 0, 0, 0, 61, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 47, 0, 0, 23, - 36, 0, 0, 0, 80, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 57, 0, 0, 0, - - 0, 74, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 72, 60, 0, 0, 83, - 0, 0, 0, 0, 0, 0, 0, 69, 0, 0, - 0, 0, 0, 0, 0, 0, 6, 5, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 24, 25, 0, 0, 0, 0, 0, 0, - 0, 25, 25, 0, 0, 0, 0, 0, 0, 0, - 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 81, 0, 0, 0, 0, 0, 77, 0, 82, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, - 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 45, 0, - 0, 65, 0, 0, 0, 0, 0, 46, 0 - } ; - -static yyconst YY_CHAR yy_ec[256] = - { 0, - 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 4, 1, 1, 5, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 6, 7, 1, 8, 8, 9, - 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, - 1, 1, 1, 1, 10, 11, 12, 13, 14, 15, - 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, - 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, - 1, 1, 1, 1, 1, 1, 36, 37, 38, 39, - - 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, - 50, 51, 26, 52, 53, 54, 55, 56, 57, 58, - 59, 60, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1 - } ; - -static yyconst YY_CHAR yy_meta[61] = - { 0, - 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 - } ; - -static yyconst flex_uint16_t yy_base[1546] = - { 0, - 0, 0, 3084, 3085, 59, 62, 3080, 54, 39, 85, - 67, 52, 52, 54, 100, 51, 69, 70, 107, 131, - 122, 68, 58, 86, 87, 3079, 3085, 107, 99, 111, - 113, 128, 102, 124, 138, 132, 148, 144, 150, 144, - 151, 159, 150, 153, 170, 173, 3077, 145, 169, 167, - 171, 156, 173, 172, 176, 184, 187, 181, 197, 199, - 197, 214, 198, 211, 206, 3076, 213, 217, 222, 208, - 223, 211, 231, 227, 233, 227, 223, 225, 235, 228, - 236, 248, 238, 252, 246, 248, 247, 250, 263, 3075, - 3074, 263, 3073, 269, 276, 283, 278, 268, 280, 280, - - 268, 285, 286, 289, 273, 281, 301, 287, 3072, 303, - 291, 313, 310, 305, 299, 301, 303, 3071, 3070, 302, - 322, 3069, 317, 324, 326, 327, 331, 335, 320, 321, - 327, 337, 348, 346, 329, 341, 353, 350, 360, 3068, - 372, 345, 348, 349, 359, 3067, 365, 363, 360, 366, - 367, 3066, 386, 3065, 371, 382, 382, 395, 386, 385, - 3064, 389, 3063, 3062, 401, 395, 406, 407, 405, 413, - 418, 402, 409, 412, 414, 3061, 416, 417, 421, 425, - 439, 422, 438, 432, 431, 434, 442, 448, 448, 456, - 446, 449, 446, 462, 456, 463, 467, 476, 501, 465, - - 467, 472, 476, 481, 489, 464, 485, 3060, 3059, 498, - 485, 490, 503, 506, 518, 505, 506, 517, 509, 518, - 517, 517, 3058, 530, 517, 538, 533, 543, 3057, 532, - 551, 554, 556, 3056, 558, 553, 557, 3085, 562, 550, - 3085, 551, 549, 559, 570, 568, 576, 560, 566, 566, - 3055, 559, 560, 568, 572, 592, 585, 595, 588, 601, - 604, 602, 607, 3054, 596, 615, 3053, 607, 616, 613, - 606, 618, 609, 617, 612, 622, 630, 630, 633, 630, - 633, 645, 646, 651, 3052, 3051, 645, 635, 645, 652, - 3050, 663, 650, 3049, 665, 663, 669, 660, 670, 666, - - 664, 663, 681, 678, 680, 667, 670, 683, 671, 684, - 685, 686, 685, 702, 705, 705, 700, 704, 715, 703, - 717, 714, 723, 724, 725, 714, 3048, 715, 717, 715, - 730, 734, 728, 728, 732, 739, 745, 750, 753, 747, - 747, 3047, 3046, 748, 748, 3045, 752, 769, 68, 769, - 769, 770, 767, 765, 763, 770, 3044, 770, 779, 780, - 780, 774, 781, 3043, 770, 785, 787, 792, 792, 803, - 804, 813, 809, 3042, 811, 817, 809, 819, 3041, 3040, - 811, 809, 824, 822, 827, 3039, 822, 820, 823, 839, - 835, 830, 860, 846, 839, 851, 822, 857, 854, 850, - - 851, 858, 861, 861, 860, 869, 3038, 877, 866, 879, - 881, 895, 3037, 876, 917, 880, 881, 884, 884, 887, - 890, 897, 902, 905, 920, 904, 925, 924, 927, 913, - 926, 933, 917, 934, 937, 920, 3036, 942, 926, 928, - 75, 942, 930, 931, 944, 949, 963, 945, 945, 950, - 950, 970, 978, 970, 964, 963, 972, 966, 3035, 966, - 968, 985, 986, 978, 991, 980, 984, 982, 3034, 982, - 983, 999, 989, 1009, 3033, 995, 1003, 998, 1008, 3032, - 1008, 1015, 1030, 1017, 1028, 1038, 1047, 1034, 1025, 1037, - 1042, 1028, 1025, 1033, 1033, 1033, 1038, 1046, 1041, 1062, - - 1050, 1048, 1052, 1051, 3031, 1062, 1067, 1073, 1053, 1068, - 1073, 3030, 1085, 1067, 1074, 1075, 1092, 1085, 1104, 1086, - 1092, 1108, 1101, 3029, 1116, 1092, 3028, 3027, 1116, 3026, - 1119, 1102, 1119, 1106, 1113, 1124, 1112, 3025, 1124, 1123, - 1133, 1137, 1121, 3085, 3024, 3023, 1134, 1135, 1132, 1124, - 1129, 1129, 1160, 1152, 1150, 1143, 1150, 1168, 1176, 1159, - 1161, 1177, 1162, 1175, 1170, 1169, 1182, 1178, 1173, 1191, - 1184, 1185, 1192, 1191, 1186, 1193, 1209, 1185, 3022, 1199, - 1208, 3021, 1200, 1201, 1232, 1235, 1201, 1224, 3020, 1233, - 1234, 1243, 1249, 3019, 1218, 1233, 1247, 1253, 1257, 1260, - - 1245, 1267, 1258, 1251, 1269, 1256, 1257, 1256, 1267, 3018, - 3017, 3016, 1260, 1261, 1262, 1269, 1270, 3085, 1284, 1266, - 1281, 1265, 1278, 1290, 3015, 1276, 1284, 1291, 1281, 1296, - 1280, 1296, 1301, 3085, 1290, 1286, 1294, 1306, 1307, 1319, - 3014, 3013, 1324, 3012, 1308, 1309, 3011, 1318, 1319, 1316, - 1322, 1343, 1332, 3085, 1321, 1325, 1336, 1327, 1335, 1346, - 1358, 1350, 1357, 1347, 1347, 1353, 1374, 1353, 1365, 1367, - 1357, 1384, 1380, 1384, 1399, 1371, 1377, 1406, 1383, 3010, - 1392, 1380, 1397, 1408, 1386, 1394, 1395, 1403, 1406, 1410, - 1423, 1409, 3009, 1401, 1423, 1410, 1430, 1410, 1411, 1429, - - 1424, 1423, 3008, 1422, 1421, 3007, 3006, 1435, 1427, 1432, - 3005, 1438, 1430, 1447, 1451, 1446, 3004, 1438, 1456, 1455, - 1446, 1453, 3003, 1464, 3002, 1463, 1459, 3001, 1463, 1458, - 3000, 1466, 1474, 1463, 1480, 1471, 1465, 1491, 1499, 1508, - 1482, 1504, 1523, 1485, 1485, 1525, 1529, 1501, 1515, 1495, - 1513, 1507, 1532, 1527, 1517, 1533, 2999, 1515, 1527, 1518, - 1544, 2998, 1529, 1529, 1552, 1533, 1547, 3085, 1537, 1539, - 1571, 2997, 1557, 0, 1540, 1559, 1551, 2996, 1552, 1555, - 1563, 1561, 1565, 1562, 1582, 1582, 2995, 2994, 1573, 2993, - 1587, 1572, 1595, 1588, 2992, 1598, 1598, 2991, 1600, 1604, - - 1591, 1598, 2990, 2989, 1604, 1598, 1619, 1603, 1621, 1596, - 1618, 1629, 1619, 1620, 1622, 1625, 2988, 1636, 2987, 1638, - 1638, 1626, 1634, 1627, 1641, 1630, 1654, 2978, 2977, 1658, - 1676, 3085, 3085, 3085, 1636, 1680, 1662, 1639, 0, 1645, - 2976, 3085, 1647, 1649, 1666, 1681, 2975, 1668, 1671, 1674, - 1675, 1669, 1670, 1671, 1675, 1679, 3085, 1696, 1678, 1681, - 1701, 1678, 1704, 1685, 1688, 1693, 1706, 1713, 1722, 2973, - 2972, 1693, 1706, 2971, 2970, 1720, 1710, 1714, 0, 1713, - 1716, 1715, 1717, 1720, 1725, 1731, 2969, 1736, 1746, 1748, - 1740, 1771, 1740, 1773, 1778, 1781, 1741, 1753, 1786, 1744, - - 2968, 1750, 1756, 1746, 1764, 2967, 1787, 1785, 1773, 1793, - 1790, 1795, 1776, 2966, 1799, 2965, 1802, 1783, 1786, 2963, - 1786, 1794, 1812, 1801, 1802, 1813, 1804, 1812, 1816, 1808, - 1828, 1820, 0, 1817, 1816, 1833, 1839, 1827, 1836, 1826, - 1848, 1848, 1854, 1838, 1843, 1873, 1877, 1880, 1845, 1854, - 1886, 1864, 1865, 1869, 1854, 1876, 1868, 0, 1870, 1887, - 1887, 1882, 1879, 1874, 1881, 2962, 1901, 1882, 1897, 1887, - 2961, 1897, 1906, 1887, 1911, 1926, 1904, 1894, 2956, 1895, - 1910, 1914, 1910, 1930, 1918, 2887, 1929, 1929, 1939, 1930, - 1944, 2850, 1939, 1949, 1939, 1936, 1933, 1958, 2809, 2765, - - 1935, 1954, 1943, 2749, 2742, 1945, 0, 1946, 1946, 1949, - 1950, 3085, 2727, 2695, 1972, 1983, 1966, 1978, 1975, 1984, - 1969, 1980, 2660, 1995, 1978, 1978, 2003, 1994, 1987, 1998, - 1989, 1991, 2004, 2016, 2011, 2014, 2617, 2013, 2605, 2005, - 2011, 2561, 2007, 2554, 0, 2028, 2010, 2013, 2026, 2034, - 2038, 2019, 2539, 2033, 2505, 2039, 2045, 2046, 2034, 2056, - 2060, 2038, 2059, 2062, 2049, 2064, 2052, 2070, 2056, 2072, - 2082, 2058, 2065, 2064, 2065, 2492, 2460, 2071, 2094, 2078, - 2457, 2088, 2079, 2105, 2079, 2444, 2092, 2083, 2107, 0, - 2120, 3085, 2091, 2099, 2098, 2101, 2118, 2125, 2113, 2117, - - 2112, 2120, 2121, 2129, 2138, 2433, 2119, 2121, 2120, 2125, - 2400, 2126, 2363, 2125, 2148, 2152, 2320, 2317, 2275, 2224, - 2163, 2174, 2141, 2152, 2160, 2145, 2161, 2178, 2165, 0, - 2176, 2167, 2186, 2188, 2195, 2218, 2175, 2176, 2176, 2179, - 2200, 2188, 2194, 3085, 2203, 2204, 2208, 2211, 2197, 2194, - 2197, 2217, 2197, 2218, 2225, 2217, 2233, 2222, 2237, 2243, - 2247, 2256, 2251, 2258, 2230, 2222, 2243, 2241, 2241, 2243, - 2264, 2268, 2267, 0, 2250, 2250, 2276, 2279, 2281, 2264, - 2135, 2263, 2265, 2045, 2013, 2266, 2269, 2270, 2279, 2293, - 2276, 2293, 2281, 2281, 2293, 2302, 2306, 2294, 2297, 2322, - - 2332, 2340, 2318, 2343, 1952, 2304, 2326, 2329, 2318, 3085, - 2345, 1941, 2328, 2329, 2350, 2333, 2328, 2333, 2345, 2356, - 2348, 2342, 2344, 2345, 1909, 2366, 2386, 1810, 2348, 2355, - 2363, 2354, 2364, 2379, 2404, 2367, 2378, 2391, 2411, 2406, - 2414, 2416, 2419, 2421, 3085, 1802, 2379, 2395, 2414, 2425, - 2418, 2411, 2426, 2422, 2417, 2431, 2436, 2417, 2430, 2421, - 1796, 2432, 2433, 2442, 2445, 2447, 1759, 2426, 2435, 2443, - 1756, 2461, 1652, 1649, 2471, 2475, 2479, 2481, 2449, 2448, - 2470, 2484, 2466, 3085, 2477, 2468, 2468, 2471, 2494, 2497, - 2494, 2483, 2497, 2488, 2498, 2499, 2502, 2509, 2502, 2509, - - 2502, 1552, 2517, 2520, 2522, 2524, 2518, 2524, 2514, 2539, - 2547, 2516, 2519, 2535, 2543, 2530, 2552, 2536, 2550, 2538, - 2552, 2553, 2554, 2554, 2568, 2572, 2551, 2555, 1539, 2564, - 2573, 2587, 2594, 2564, 2566, 2563, 2596, 2588, 2590, 1489, - 2583, 2600, 2606, 2590, 1481, 1453, 2605, 2606, 2592, 2615, - 2607, 1351, 2618, 2614, 2610, 2622, 2629, 2640, 2649, 2617, - 2623, 2627, 2632, 2637, 2624, 3085, 2625, 2631, 2644, 2640, - 2653, 2639, 2641, 2641, 2642, 2664, 2666, 2651, 2650, 2673, - 2675, 1332, 1278, 2658, 3085, 2660, 2670, 1186, 2677, 2673, - 2685, 2671, 2673, 2674, 2674, 1167, 2698, 2680, 2681, 2704, - - 2708, 3085, 2700, 2704, 2711, 2698, 2708, 2709, 2703, 1144, - 1126, 2721, 2729, 1116, 2710, 2733, 2735, 2724, 2720, 2741, - 2728, 2739, 1004, 2727, 2750, 2754, 2738, 2757, 2755, 2754, - 946, 2741, 894, 842, 2744, 2756, 2767, 2772, 2768, 2762, - 2762, 2771, 832, 2779, 2781, 2774, 2781, 2773, 2787, 2785, - 2770, 2790, 2795, 2798, 2798, 2784, 2786, 2788, 2796, 2806, - 2797, 2821, 2824, 2797, 2798, 736, 2806, 2806, 2809, 2813, - 2834, 2817, 2834, 2842, 2835, 584, 2821, 2828, 2823, 2830, - 2856, 2847, 2858, 506, 2840, 446, 3085, 2852, 2863, 2855, - 2851, 2855, 2863, 2855, 2854, 2864, 2859, 2873, 2875, 2867, - - 2864, 2867, 2868, 2881, 372, 2888, 3085, 2871, 2897, 2876, - 2889, 2883, 2891, 2896, 3085, 342, 2908, 2897, 2908, 2904, - 2905, 2906, 156, 2903, 2922, 2930, 115, 110, 2933, 2937, - 2914, 2941, 2919, 2942, 2934, 91, 2950, 2955, 3085, 2983, - 2985, 84, 77, 2987, 65 - } ; - -static yyconst flex_int16_t yy_def[1546] = - { 0, - 1539, 1, 1539, 1539, 1539, 1539, 1540, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1540, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1541, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1541, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1542, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1542, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1543, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1543, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1544, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1544, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1545, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1545, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 0, 1539, - 1539, 1539, 1539, 1539, 1539 - } ; - -static yyconst flex_uint16_t yy_nxt[3146] = - { 0, - 4, 5, 6, 5, 7, 4, 4, 4, 4, 8, - 9, 10, 11, 12, 13, 4, 14, 15, 4, 16, - 4, 17, 18, 4, 19, 4, 20, 21, 22, 23, - 4, 24, 4, 4, 4, 8, 9, 10, 11, 12, - 13, 4, 14, 15, 4, 16, 4, 17, 18, 4, - 19, 20, 21, 22, 23, 4, 24, 4, 4, 4, - 25, 25, 25, 25, 25, 25, 28, 1174, 30, 41, - 36, 42, 39, 50, 29, 415, 415, 47, 48, 1007, - 37, 49, 513, 513, 40, 64, 933, 43, 25, 25, - 25, 63, 28, 30, 1537, 41, 38, 42, 39, 51, - - 29, 31, 47, 65, 48, 32, 37, 49, 33, 40, - 64, 34, 43, 1531, 35, 44, 52, 63, 1530, 66, - 53, 38, 45, 67, 51, 68, 69, 31, 46, 65, - 54, 32, 71, 55, 33, 60, 34, 70, 61, 35, - 56, 44, 52, 62, 57, 66, 53, 72, 45, 67, - 73, 68, 69, 46, 58, 74, 54, 71, 55, 1526, - 59, 60, 75, 70, 61, 77, 56, 78, 79, 62, - 57, 80, 83, 72, 84, 85, 73, 90, 76, 81, - 58, 74, 94, 82, 86, 59, 88, 87, 75, 91, - 92, 77, 93, 78, 79, 95, 96, 80, 83, 97, - - 84, 85, 90, 76, 81, 98, 99, 94, 82, 102, - 86, 100, 88, 87, 101, 91, 92, 103, 93, 104, - 105, 95, 96, 106, 109, 97, 107, 108, 110, 112, - 98, 113, 99, 114, 102, 115, 116, 100, 117, 101, - 118, 119, 120, 103, 121, 104, 105, 122, 124, 106, - 109, 107, 108, 123, 110, 112, 125, 113, 126, 114, - 115, 127, 116, 117, 128, 129, 118, 119, 120, 130, - 121, 131, 134, 122, 124, 132, 133, 140, 123, 135, - 136, 125, 142, 137, 126, 143, 144, 127, 146, 128, - 147, 129, 148, 149, 151, 130, 150, 131, 134, 152, - - 132, 133, 153, 140, 154, 135, 136, 155, 142, 137, - 156, 143, 145, 157, 146, 159, 147, 160, 148, 149, - 151, 150, 161, 162, 163, 152, 164, 165, 153, 154, - 166, 169, 155, 170, 172, 173, 156, 145, 157, 174, - 175, 159, 160, 176, 177, 1519, 178, 179, 161, 162, - 163, 164, 165, 180, 181, 166, 169, 182, 183, 170, - 172, 173, 184, 185, 186, 174, 175, 187, 196, 176, - 177, 178, 179, 195, 188, 1509, 197, 189, 180, 198, - 181, 192, 200, 182, 183, 193, 201, 184, 202, 185, - 186, 190, 203, 187, 196, 204, 194, 206, 195, 208, - - 188, 197, 209, 189, 210, 198, 211, 192, 200, 212, - 218, 193, 201, 202, 213, 215, 190, 203, 219, 220, - 204, 221, 194, 206, 208, 222, 223, 224, 209, 227, - 210, 225, 211, 226, 234, 212, 218, 228, 229, 213, - 215, 230, 232, 233, 219, 220, 235, 221, 236, 1492, - 237, 222, 223, 224, 227, 238, 239, 225, 240, 226, - 234, 241, 228, 229, 242, 243, 230, 232, 233, 246, - 244, 250, 235, 247, 236, 237, 245, 248, 249, 251, - 252, 238, 239, 240, 253, 254, 241, 263, 264, 265, - 242, 243, 270, 266, 267, 246, 244, 250, 247, 271, - - 268, 245, 248, 249, 269, 251, 252, 274, 275, 1490, - 253, 254, 255, 263, 264, 265, 256, 270, 257, 266, - 267, 276, 258, 277, 259, 271, 268, 260, 261, 278, - 269, 279, 282, 274, 275, 262, 280, 281, 255, 283, - 284, 288, 256, 285, 257, 286, 276, 289, 258, 277, - 259, 290, 260, 261, 291, 278, 292, 279, 282, 294, - 262, 280, 281, 295, 283, 296, 284, 288, 285, 297, - 286, 299, 289, 300, 301, 302, 306, 290, 303, 304, - 291, 305, 292, 307, 294, 308, 309, 1483, 310, 295, - 311, 296, 312, 314, 315, 297, 316, 299, 317, 300, - - 301, 302, 306, 303, 304, 318, 305, 319, 320, 307, - 321, 308, 309, 310, 322, 326, 311, 312, 314, 315, - 323, 316, 327, 317, 329, 324, 330, 332, 325, 333, - 334, 318, 335, 319, 320, 336, 321, 337, 338, 340, - 322, 326, 339, 341, 342, 343, 323, 344, 327, 329, - 345, 324, 330, 332, 325, 333, 334, 335, 346, 347, - 348, 336, 337, 353, 338, 340, 351, 339, 354, 341, - 342, 343, 352, 344, 355, 357, 345, 358, 360, 361, - 362, 363, 364, 365, 346, 347, 348, 366, 353, 367, - 368, 369, 351, 370, 354, 371, 372, 352, 373, 377, - - 355, 357, 358, 374, 360, 361, 362, 363, 364, 365, - 375, 376, 378, 366, 367, 379, 368, 369, 380, 370, - 371, 372, 381, 382, 373, 377, 383, 384, 374, 385, - 386, 387, 388, 389, 395, 375, 376, 378, 390, 1474, - 392, 379, 394, 396, 380, 391, 397, 398, 381, 382, - 399, 400, 383, 384, 385, 401, 386, 387, 388, 389, - 395, 402, 403, 404, 390, 392, 405, 394, 396, 406, - 410, 391, 397, 398, 407, 411, 399, 400, 413, 414, - 416, 401, 417, 418, 419, 420, 421, 402, 403, 404, - 422, 425, 405, 426, 427, 406, 410, 428, 430, 407, - - 411, 423, 429, 413, 432, 414, 416, 433, 417, 418, - 419, 420, 421, 434, 435, 437, 422, 425, 436, 426, - 427, 438, 439, 428, 430, 440, 423, 429, 442, 432, - 443, 444, 445, 433, 448, 1452, 449, 450, 434, 451, - 435, 437, 452, 436, 454, 1445, 455, 438, 439, 456, - 457, 440, 458, 459, 442, 466, 443, 444, 445, 463, - 448, 449, 464, 450, 465, 451, 467, 468, 452, 460, - 454, 455, 469, 470, 456, 471, 457, 461, 458, 459, - 466, 462, 472, 473, 475, 463, 474, 477, 464, 478, - 465, 479, 467, 468, 480, 460, 485, 1444, 469, 470, - - 488, 471, 489, 461, 490, 481, 494, 462, 472, 473, - 475, 474, 482, 477, 491, 478, 492, 479, 493, 495, - 480, 483, 485, 486, 487, 487, 488, 496, 489, 497, - 490, 481, 494, 498, 499, 500, 501, 503, 482, 491, - 502, 492, 504, 493, 505, 495, 483, 506, 507, 1442, - 508, 510, 514, 496, 511, 497, 512, 515, 498, 516, - 499, 500, 501, 503, 517, 502, 518, 520, 504, 505, - 519, 519, 521, 506, 507, 508, 522, 510, 514, 511, - 523, 512, 515, 524, 516, 525, 525, 526, 527, 529, - 517, 528, 518, 520, 530, 532, 533, 521, 534, 536, - - 537, 522, 535, 538, 539, 523, 540, 1435, 541, 524, - 543, 544, 545, 526, 527, 529, 528, 546, 547, 530, - 532, 533, 549, 550, 534, 536, 537, 551, 535, 538, - 539, 552, 540, 541, 554, 543, 544, 555, 545, 556, - 557, 558, 546, 560, 547, 559, 559, 549, 561, 550, - 562, 563, 551, 486, 487, 487, 564, 552, 565, 554, - 566, 567, 568, 555, 569, 556, 557, 558, 570, 560, - 571, 572, 573, 578, 561, 574, 562, 563, 575, 576, - 579, 564, 580, 565, 581, 566, 567, 568, 582, 569, - 583, 585, 586, 586, 570, 571, 587, 572, 573, 578, - - 574, 588, 589, 575, 576, 590, 579, 591, 580, 581, - 592, 593, 593, 594, 582, 595, 583, 596, 597, 1429, - 601, 587, 599, 600, 600, 604, 588, 589, 606, 1426, - 607, 590, 608, 591, 609, 610, 611, 614, 594, 612, - 615, 595, 616, 596, 597, 601, 617, 1425, 618, 621, - 622, 604, 623, 624, 606, 607, 625, 626, 608, 609, - 627, 610, 611, 614, 612, 630, 615, 631, 616, 628, - 1413, 632, 617, 618, 633, 621, 622, 629, 623, 624, - 634, 625, 626, 559, 559, 627, 635, 636, 637, 1405, - 638, 630, 639, 631, 640, 628, 632, 641, 642, 643, - - 633, 644, 645, 629, 646, 647, 634, 648, 649, 650, - 651, 635, 636, 654, 637, 638, 652, 652, 639, 656, - 640, 657, 641, 659, 642, 643, 644, 660, 645, 662, - 646, 647, 653, 648, 649, 650, 651, 663, 654, 661, - 661, 585, 586, 586, 665, 656, 666, 657, 669, 659, - 667, 667, 660, 670, 662, 592, 593, 593, 653, 671, - 672, 672, 674, 663, 673, 673, 599, 600, 600, 676, - 665, 677, 666, 669, 675, 675, 678, 678, 679, 670, - 680, 1401, 681, 682, 688, 671, 686, 687, 674, 689, - 690, 691, 691, 692, 693, 676, 694, 677, 695, 696, - - 698, 699, 700, 701, 679, 702, 680, 681, 703, 682, - 688, 686, 687, 704, 705, 689, 690, 706, 692, 707, - 693, 694, 708, 709, 695, 696, 698, 699, 700, 701, - 710, 702, 711, 703, 714, 1400, 716, 717, 719, 704, - 705, 720, 706, 721, 707, 722, 723, 708, 724, 709, - 652, 652, 725, 726, 1376, 727, 710, 728, 711, 729, - 714, 716, 717, 730, 719, 661, 661, 720, 721, 731, - 734, 722, 723, 724, 732, 733, 735, 725, 736, 726, - 727, 667, 667, 728, 737, 729, 738, 673, 673, 730, - 739, 740, 740, 741, 745, 731, 734, 744, 748, 732, - - 733, 750, 735, 751, 736, 742, 743, 743, 752, 754, - 737, 738, 746, 747, 747, 753, 753, 755, 757, 741, - 745, 756, 744, 758, 748, 759, 760, 750, 762, 751, - 691, 691, 763, 767, 752, 754, 764, 765, 765, 766, - 768, 769, 770, 755, 757, 772, 756, 773, 776, 758, - 777, 759, 760, 762, 778, 780, 1371, 781, 763, 767, - 782, 764, 783, 784, 766, 786, 768, 769, 770, 787, - 788, 772, 773, 789, 776, 790, 777, 792, 794, 795, - 778, 780, 781, 797, 1370, 798, 782, 800, 783, 784, - 786, 801, 1365, 802, 803, 787, 788, 804, 789, 805, - - 806, 790, 808, 792, 794, 795, 807, 807, 810, 797, - 798, 809, 809, 800, 739, 740, 740, 801, 802, 811, - 803, 813, 804, 816, 805, 817, 806, 818, 808, 742, - 743, 743, 812, 812, 810, 746, 747, 747, 814, 753, - 753, 819, 1353, 815, 811, 820, 821, 813, 816, 823, - 824, 817, 825, 818, 826, 1330, 828, 829, 830, 831, - 831, 832, 833, 835, 814, 834, 838, 819, 815, 840, - 820, 841, 821, 842, 823, 844, 824, 825, 836, 836, - 826, 828, 829, 845, 846, 849, 832, 847, 833, 835, - 834, 848, 838, 850, 840, 851, 854, 841, 856, 842, - - 857, 844, 858, 858, 859, 861, 861, 862, 845, 864, - 846, 849, 847, 865, 866, 867, 848, 870, 871, 850, - 872, 851, 854, 873, 856, 857, 807, 807, 809, 809, - 859, 874, 875, 862, 876, 864, 812, 812, 877, 865, - 866, 867, 878, 870, 871, 880, 872, 882, 873, 883, - 884, 885, 1305, 886, 887, 1304, 888, 874, 875, 893, - 876, 889, 889, 901, 877, 892, 892, 897, 878, 896, - 896, 880, 898, 882, 900, 883, 884, 885, 886, 902, - 887, 888, 830, 831, 831, 893, 894, 895, 895, 901, - 903, 905, 897, 906, 907, 908, 912, 898, 909, 900, - - 910, 911, 913, 858, 858, 902, 914, 915, 861, 861, - 916, 917, 917, 918, 919, 920, 903, 905, 921, 906, - 907, 908, 912, 909, 922, 910, 911, 926, 913, 923, - 923, 914, 915, 927, 930, 916, 931, 932, 918, 919, - 934, 920, 935, 936, 921, 937, 938, 939, 940, 942, - 922, 944, 926, 889, 889, 943, 943, 945, 927, 1303, - 930, 931, 1299, 932, 949, 934, 950, 935, 936, 956, - 937, 938, 952, 939, 940, 942, 954, 944, 892, 892, - 946, 946, 955, 945, 894, 895, 895, 947, 948, 948, - 949, 957, 950, 951, 951, 956, 959, 952, 960, 1294, - - 961, 954, 962, 963, 964, 1278, 966, 955, 968, 917, - 917, 970, 965, 1266, 971, 973, 957, 974, 975, 976, - 976, 977, 959, 978, 960, 961, 979, 980, 962, 963, - 964, 966, 981, 982, 968, 984, 970, 983, 965, 971, - 973, 985, 986, 974, 987, 988, 989, 977, 990, 978, - 991, 992, 979, 980, 993, 994, 994, 995, 981, 982, - 984, 943, 943, 983, 996, 997, 1000, 985, 986, 987, - 988, 999, 989, 1001, 990, 1002, 991, 992, 1003, 993, - 946, 946, 1004, 995, 998, 998, 947, 948, 948, 996, - 1005, 997, 1000, 951, 951, 1006, 999, 1008, 1009, 1001, - - 1010, 1002, 1011, 1014, 1003, 1012, 1013, 1004, 1016, 1016, - 1017, 1018, 1264, 1019, 1021, 1022, 1005, 1023, 1024, 1024, - 1006, 1025, 1008, 1026, 1009, 1028, 1010, 1029, 1011, 1014, - 1012, 1013, 975, 976, 976, 1017, 1030, 1018, 1019, 1031, - 1021, 1022, 1023, 1032, 1250, 1033, 1035, 1025, 1026, 1036, - 1028, 1037, 1038, 1029, 1039, 1041, 994, 994, 1042, 1043, - 1245, 1044, 1030, 1047, 1031, 998, 998, 1048, 1052, 1032, - 1033, 1049, 1035, 1053, 1054, 1036, 1055, 1037, 1038, 1056, - 1039, 1041, 1059, 1062, 1042, 1043, 1044, 1063, 1047, 1060, - 1061, 1061, 1064, 1048, 1052, 1065, 1049, 1066, 1053, 1054, - - 1067, 1055, 1024, 1024, 1056, 1069, 1070, 1073, 1059, 1062, - 1071, 1071, 1072, 1063, 1074, 1075, 1221, 1076, 1064, 1077, - 1078, 1065, 1066, 1079, 1079, 1080, 1067, 1081, 1083, 1085, - 1069, 1070, 1086, 1073, 1088, 1091, 1091, 1092, 1072, 1074, - 1093, 1075, 1076, 1094, 1077, 1095, 1078, 1096, 1220, 1097, - 1099, 1080, 1101, 1081, 1083, 1085, 1102, 1103, 1086, 1088, - 1104, 1106, 1092, 1105, 1105, 1093, 1060, 1061, 1061, 1094, - 1107, 1095, 1108, 1096, 1097, 1109, 1099, 1110, 1101, 1111, - 1112, 1114, 1102, 1103, 1113, 1104, 1117, 1106, 1115, 1116, - 1116, 1118, 1119, 1120, 1123, 1124, 1107, 1126, 1108, 1127, - - 1109, 1079, 1079, 1110, 1111, 1129, 1112, 1114, 1131, 1113, - 1132, 1117, 1128, 1128, 1133, 1133, 1118, 1119, 1120, 1136, - 1123, 1124, 1137, 1126, 1138, 1127, 1134, 1135, 1135, 1139, - 1129, 1140, 1141, 1141, 1131, 1132, 1142, 1143, 1217, 1144, - 1145, 1146, 1147, 1151, 1136, 1105, 1105, 1149, 1137, 1138, - 1150, 1152, 1154, 1156, 1139, 1157, 1157, 1140, 1115, 1116, - 1116, 1165, 1142, 1143, 1144, 1166, 1145, 1146, 1147, 1151, - 1162, 1162, 1149, 1169, 1170, 1150, 1152, 1154, 1156, 1163, - 1167, 1164, 1164, 1168, 1171, 1172, 1172, 1165, 1173, 1175, - 1176, 1166, 1177, 1178, 1178, 1179, 1179, 1181, 1169, 1182, - - 1170, 1134, 1135, 1135, 1183, 1184, 1167, 1141, 1141, 1168, - 1185, 1186, 1187, 1188, 1173, 1175, 1176, 1189, 1190, 1190, - 1191, 1180, 1192, 1181, 1193, 1182, 1194, 1161, 1195, 1183, - 1184, 1196, 1197, 1197, 1198, 1199, 1185, 1186, 1187, 1188, - 1157, 1157, 1205, 1189, 1200, 1200, 1191, 1192, 1206, 1193, - 1201, 1201, 1194, 1195, 1202, 1202, 1207, 1196, 1164, 1164, - 1198, 1199, 1203, 1204, 1204, 1164, 1164, 1208, 1205, 1209, - 1210, 1211, 1211, 1206, 1171, 1172, 1172, 1212, 1160, 1213, - 1214, 1216, 1207, 1215, 1215, 1177, 1178, 1178, 1179, 1179, - 1218, 1219, 1208, 1222, 1209, 1210, 1223, 1224, 1225, 1226, - - 1227, 1227, 1228, 1212, 1213, 1214, 1229, 1216, 1230, 1231, - 1232, 1233, 1234, 1235, 1235, 1218, 1219, 1236, 1222, 1237, - 1159, 1223, 1224, 1158, 1225, 1244, 1244, 1228, 1238, 1239, - 1239, 1246, 1229, 1230, 1231, 1247, 1232, 1233, 1240, 1241, - 1241, 1248, 1252, 1236, 1249, 1237, 1242, 1243, 1243, 1203, - 1204, 1204, 1211, 1211, 1251, 1253, 1246, 1215, 1215, 1254, - 1255, 1247, 1256, 1257, 1257, 1258, 1155, 1248, 1252, 1249, - 1261, 1262, 1263, 1265, 1265, 1267, 1259, 1260, 1268, 1251, - 1269, 1253, 1270, 1271, 1254, 1255, 1272, 1272, 1256, 1273, - 1274, 1258, 1226, 1227, 1227, 1261, 1262, 1263, 1275, 1275, - - 1267, 1259, 1260, 1153, 1268, 1279, 1269, 1270, 1280, 1271, - 1234, 1235, 1235, 1276, 1276, 1273, 1274, 1238, 1239, 1239, - 1240, 1241, 1241, 1277, 1277, 1242, 1243, 1243, 1244, 1244, - 1279, 1281, 1282, 1282, 1280, 1283, 1148, 1284, 1285, 1286, - 1287, 1288, 1289, 1290, 1290, 1291, 1292, 1130, 1293, 1295, - 1296, 1297, 1265, 1265, 1298, 1298, 1300, 1281, 1301, 1302, - 1125, 1283, 1284, 1122, 1285, 1286, 1287, 1288, 1272, 1272, - 1291, 1307, 1292, 1293, 1308, 1295, 1296, 1297, 1275, 1275, - 1309, 1300, 1276, 1276, 1301, 1302, 1277, 1277, 1306, 1306, - 1310, 1311, 1311, 1312, 1313, 1121, 1314, 1307, 1315, 1308, - - 1316, 1317, 1317, 1289, 1290, 1290, 1309, 1318, 1100, 1319, - 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1326, 1312, 1327, - 1313, 1314, 1328, 1315, 1329, 1316, 1331, 1332, 1332, 1333, - 1333, 1306, 1306, 1318, 1319, 1334, 1320, 1321, 1322, 1323, - 1324, 1335, 1098, 1336, 1338, 1327, 1337, 1337, 1328, 1339, - 1329, 1340, 1331, 1310, 1311, 1311, 1341, 1089, 1342, 1317, - 1317, 1334, 1343, 1344, 1087, 1345, 1346, 1335, 1336, 1338, - 1347, 1348, 1349, 1351, 1339, 1350, 1350, 1340, 1325, 1326, - 1326, 1352, 1341, 1342, 1354, 1355, 1360, 1343, 1361, 1344, - 1345, 1362, 1346, 1356, 1357, 1357, 1347, 1348, 1349, 1351, - - 1358, 1359, 1359, 1337, 1337, 1363, 1352, 1364, 1084, 1366, - 1354, 1355, 1360, 1367, 1361, 1368, 1362, 1369, 1372, 1373, - 1082, 1374, 1350, 1350, 1375, 1377, 1377, 1378, 1379, 1380, - 1380, 1363, 1382, 1364, 1366, 1356, 1357, 1357, 1383, 1367, - 1384, 1368, 1369, 1385, 1372, 1373, 1374, 1381, 1381, 1386, - 1375, 1387, 1388, 1378, 1379, 1358, 1359, 1359, 1382, 1389, - 1390, 1391, 1392, 1068, 1383, 1393, 1384, 1394, 1395, 1385, - 1396, 1397, 1397, 1377, 1377, 1386, 1387, 1388, 1398, 1399, - 1380, 1380, 1381, 1381, 1389, 1402, 1390, 1391, 1392, 1403, - 1393, 1404, 1394, 1395, 1406, 1396, 1407, 1408, 1058, 1409, - - 1410, 1411, 1412, 1398, 1399, 1397, 1397, 1414, 1415, 1418, - 1402, 1416, 1416, 1419, 1403, 1417, 1417, 1404, 1420, 1420, - 1406, 1421, 1407, 1408, 1409, 1410, 1411, 1412, 1422, 1423, - 1057, 1424, 1414, 1415, 1427, 1418, 1428, 1428, 1430, 1419, - 1416, 1416, 1417, 1417, 1431, 1051, 1432, 1421, 1420, 1420, - 1433, 1434, 1050, 1436, 1422, 1423, 1424, 1437, 1437, 1439, - 1427, 1438, 1438, 1430, 1428, 1428, 1440, 1441, 1046, 1443, - 1431, 1432, 1446, 1447, 1437, 1437, 1433, 1434, 1436, 1438, - 1438, 1448, 1449, 1450, 1451, 1439, 1453, 1453, 1454, 1454, - 1455, 1456, 1440, 1441, 1443, 1457, 1458, 1446, 1459, 1447, - - 1460, 1461, 1453, 1453, 1462, 1463, 1463, 1448, 1449, 1450, - 1451, 1464, 1045, 1465, 1466, 1467, 1455, 1456, 1468, 1469, - 1472, 1457, 1458, 1470, 1459, 1460, 1473, 1461, 1471, 1471, - 1462, 1463, 1463, 1475, 1476, 1477, 1478, 1464, 1465, 1466, - 1467, 1471, 1471, 1479, 1468, 1469, 1472, 1480, 1470, 1481, - 1481, 1473, 1482, 1040, 1484, 1485, 1486, 1487, 1475, 1476, - 1477, 1488, 1478, 1481, 1481, 1489, 1489, 1491, 1479, 1493, - 1489, 1489, 1494, 1480, 1495, 1496, 1497, 1500, 1482, 1484, - 1485, 1486, 1487, 1498, 1499, 1501, 1502, 1488, 1503, 1504, - 1034, 1505, 1491, 1506, 1507, 1493, 1508, 1510, 1494, 1511, - - 1495, 1496, 1497, 1500, 1514, 1515, 1512, 1517, 1498, 1499, - 1501, 1516, 1502, 1518, 1503, 1504, 1505, 1520, 1506, 1507, - 1521, 1522, 1508, 1510, 1511, 1513, 1523, 1524, 1525, 1514, - 1527, 1515, 1512, 1517, 1528, 1534, 1516, 1529, 1529, 1518, - 1529, 1529, 1533, 1520, 1532, 1532, 1521, 1522, 1532, 1532, - 1513, 1535, 1523, 1524, 1525, 1527, 1536, 1538, 1538, 1027, - 1528, 1534, 1538, 1538, 1020, 1015, 972, 1533, 969, 967, - 958, 953, 941, 929, 928, 925, 924, 1535, 904, 899, - 891, 890, 1536, 26, 26, 26, 839, 839, 1090, 1090, - 881, 879, 869, 868, 863, 860, 855, 853, 852, 843, - - 837, 827, 822, 799, 796, 793, 791, 785, 779, 775, - 774, 771, 761, 749, 718, 715, 713, 712, 697, 685, - 684, 683, 668, 664, 658, 655, 620, 619, 613, 605, - 603, 602, 598, 584, 577, 553, 548, 542, 531, 509, - 484, 476, 453, 447, 446, 441, 431, 424, 412, 409, - 408, 393, 359, 356, 350, 349, 331, 328, 313, 298, - 293, 287, 273, 272, 231, 217, 216, 214, 207, 205, - 199, 191, 171, 168, 167, 158, 141, 139, 138, 111, - 89, 27, 27, 1539, 3, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539 - } ; - -static yyconst flex_int16_t yy_chk[3146] = - { 0, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 5, 5, 5, 6, 6, 6, 8, 1545, 9, 13, - 11, 14, 12, 18, 8, 349, 349, 16, 17, 1543, - 11, 17, 441, 441, 12, 23, 1542, 14, 25, 25, - 25, 22, 8, 9, 1536, 13, 11, 14, 12, 18, - - 8, 10, 16, 24, 17, 10, 11, 17, 10, 12, - 23, 10, 14, 1528, 10, 15, 19, 22, 1527, 28, - 19, 11, 15, 29, 18, 30, 31, 10, 15, 24, - 19, 10, 33, 19, 10, 21, 10, 32, 21, 10, - 20, 15, 19, 21, 20, 28, 19, 34, 15, 29, - 35, 30, 31, 15, 20, 36, 19, 33, 19, 1523, - 20, 21, 37, 32, 21, 38, 20, 39, 40, 21, - 20, 41, 42, 34, 43, 44, 35, 48, 37, 41, - 20, 36, 52, 41, 45, 20, 46, 45, 37, 49, - 50, 38, 51, 39, 40, 53, 54, 41, 42, 55, - - 43, 44, 48, 37, 41, 55, 56, 52, 41, 58, - 45, 57, 46, 45, 57, 49, 50, 59, 51, 60, - 61, 53, 54, 62, 64, 55, 63, 63, 65, 67, - 55, 68, 56, 69, 58, 70, 71, 57, 72, 57, - 73, 74, 75, 59, 76, 60, 61, 77, 79, 62, - 64, 63, 63, 78, 65, 67, 80, 68, 81, 69, - 70, 82, 71, 72, 83, 84, 73, 74, 75, 85, - 76, 86, 89, 77, 79, 87, 88, 92, 78, 89, - 89, 80, 94, 89, 81, 95, 96, 82, 97, 83, - 98, 84, 99, 100, 102, 85, 101, 86, 89, 103, - - 87, 88, 104, 92, 105, 89, 89, 106, 94, 89, - 107, 95, 96, 108, 97, 110, 98, 111, 99, 100, - 102, 101, 112, 113, 114, 103, 115, 116, 104, 105, - 117, 120, 106, 121, 123, 124, 107, 96, 108, 125, - 126, 110, 111, 127, 128, 1516, 129, 130, 112, 113, - 114, 115, 116, 131, 132, 117, 120, 133, 134, 121, - 123, 124, 135, 136, 137, 125, 126, 138, 143, 127, - 128, 129, 130, 142, 139, 1505, 144, 139, 131, 145, - 132, 141, 147, 133, 134, 141, 148, 135, 149, 136, - 137, 139, 150, 138, 143, 151, 141, 153, 142, 155, - - 139, 144, 156, 139, 157, 145, 158, 141, 147, 159, - 165, 141, 148, 149, 160, 162, 139, 150, 166, 167, - 151, 168, 141, 153, 155, 169, 170, 171, 156, 172, - 157, 171, 158, 171, 179, 159, 165, 173, 174, 160, - 162, 175, 177, 178, 166, 167, 180, 168, 181, 1486, - 182, 169, 170, 171, 172, 183, 184, 171, 185, 171, - 179, 186, 173, 174, 187, 188, 175, 177, 178, 190, - 189, 194, 180, 191, 181, 182, 189, 192, 193, 195, - 196, 183, 184, 185, 197, 198, 186, 200, 201, 202, - 187, 188, 206, 203, 204, 190, 189, 194, 191, 207, - - 205, 189, 192, 193, 205, 195, 196, 210, 211, 1484, - 197, 198, 199, 200, 201, 202, 199, 206, 199, 203, - 204, 212, 199, 213, 199, 207, 205, 199, 199, 214, - 205, 215, 218, 210, 211, 199, 216, 217, 199, 219, - 220, 224, 199, 221, 199, 222, 212, 225, 199, 213, - 199, 226, 199, 199, 227, 214, 228, 215, 218, 230, - 199, 216, 217, 231, 219, 232, 220, 224, 221, 233, - 222, 235, 225, 236, 237, 239, 244, 226, 240, 242, - 227, 243, 228, 245, 230, 246, 247, 1476, 248, 231, - 249, 232, 250, 252, 253, 233, 254, 235, 255, 236, - - 237, 239, 244, 240, 242, 256, 243, 257, 258, 245, - 259, 246, 247, 248, 260, 262, 249, 250, 252, 253, - 261, 254, 263, 255, 265, 261, 266, 268, 261, 269, - 270, 256, 271, 257, 258, 272, 259, 273, 274, 276, - 260, 262, 275, 277, 278, 279, 261, 280, 263, 265, - 281, 261, 266, 268, 261, 269, 270, 271, 282, 283, - 284, 272, 273, 288, 274, 276, 287, 275, 289, 277, - 278, 279, 287, 280, 290, 292, 281, 293, 295, 296, - 297, 298, 299, 300, 282, 283, 284, 301, 288, 302, - 303, 304, 287, 305, 289, 306, 307, 287, 308, 312, - - 290, 292, 293, 309, 295, 296, 297, 298, 299, 300, - 310, 311, 313, 301, 302, 314, 303, 304, 315, 305, - 306, 307, 316, 317, 308, 312, 318, 319, 309, 320, - 321, 322, 323, 324, 329, 310, 311, 313, 325, 1466, - 326, 314, 328, 330, 315, 325, 331, 332, 316, 317, - 333, 334, 318, 319, 320, 335, 321, 322, 323, 324, - 329, 336, 337, 338, 325, 326, 339, 328, 330, 340, - 344, 325, 331, 332, 341, 345, 333, 334, 347, 348, - 350, 335, 351, 352, 353, 354, 355, 336, 337, 338, - 356, 358, 339, 359, 360, 340, 344, 361, 363, 341, - - 345, 356, 362, 347, 365, 348, 350, 366, 351, 352, - 353, 354, 355, 367, 368, 370, 356, 358, 369, 359, - 360, 371, 372, 361, 363, 373, 356, 362, 375, 365, - 376, 377, 378, 366, 381, 1443, 382, 383, 367, 384, - 368, 370, 385, 369, 387, 1434, 388, 371, 372, 389, - 390, 373, 391, 392, 375, 397, 376, 377, 378, 394, - 381, 382, 395, 383, 396, 384, 398, 399, 385, 393, - 387, 388, 400, 401, 389, 402, 390, 393, 391, 392, - 397, 393, 403, 404, 406, 394, 405, 408, 395, 409, - 396, 410, 398, 399, 411, 393, 414, 1433, 400, 401, - - 416, 402, 417, 393, 418, 412, 422, 393, 403, 404, - 406, 405, 412, 408, 419, 409, 420, 410, 421, 423, - 411, 412, 414, 415, 415, 415, 416, 424, 417, 425, - 418, 412, 422, 426, 427, 428, 429, 431, 412, 419, - 430, 420, 432, 421, 433, 423, 412, 434, 435, 1431, - 436, 438, 442, 424, 439, 425, 440, 443, 426, 444, - 427, 428, 429, 431, 445, 430, 446, 448, 432, 433, - 447, 447, 449, 434, 435, 436, 450, 438, 442, 439, - 451, 440, 443, 452, 444, 453, 453, 454, 455, 457, - 445, 456, 446, 448, 458, 460, 461, 449, 462, 463, - - 464, 450, 462, 465, 466, 451, 467, 1423, 468, 452, - 470, 471, 472, 454, 455, 457, 456, 473, 474, 458, - 460, 461, 476, 477, 462, 463, 464, 478, 462, 465, - 466, 479, 467, 468, 481, 470, 471, 482, 472, 483, - 484, 485, 473, 488, 474, 486, 486, 476, 489, 477, - 490, 491, 478, 487, 487, 487, 492, 479, 493, 481, - 494, 495, 496, 482, 497, 483, 484, 485, 498, 488, - 499, 500, 501, 506, 489, 502, 490, 491, 503, 504, - 507, 492, 508, 493, 509, 494, 495, 496, 510, 497, - 511, 513, 513, 513, 498, 499, 514, 500, 501, 506, - - 502, 515, 516, 503, 504, 517, 507, 518, 508, 509, - 519, 519, 519, 520, 510, 521, 511, 522, 523, 1414, - 526, 514, 525, 525, 525, 529, 515, 516, 531, 1411, - 532, 517, 533, 518, 534, 535, 536, 539, 520, 537, - 540, 521, 541, 522, 523, 526, 542, 1410, 543, 547, - 548, 529, 548, 549, 531, 532, 550, 551, 533, 534, - 552, 535, 536, 539, 537, 554, 540, 555, 541, 553, - 1396, 556, 542, 543, 557, 547, 548, 553, 548, 549, - 558, 550, 551, 559, 559, 552, 560, 561, 562, 1388, - 563, 554, 564, 555, 565, 553, 556, 566, 567, 568, - - 557, 569, 570, 553, 571, 572, 558, 573, 574, 575, - 576, 560, 561, 578, 562, 563, 577, 577, 564, 580, - 565, 581, 566, 583, 567, 568, 569, 584, 570, 587, - 571, 572, 577, 573, 574, 575, 576, 588, 578, 585, - 585, 586, 586, 586, 590, 580, 591, 581, 595, 583, - 592, 592, 584, 596, 587, 593, 593, 593, 577, 597, - 598, 598, 601, 588, 599, 599, 600, 600, 600, 603, - 590, 604, 591, 595, 602, 602, 605, 605, 606, 596, - 607, 1383, 608, 609, 615, 597, 613, 614, 601, 616, - 617, 619, 619, 620, 621, 603, 622, 604, 623, 624, - - 626, 627, 628, 629, 606, 630, 607, 608, 631, 609, - 615, 613, 614, 632, 633, 616, 617, 635, 620, 636, - 621, 622, 637, 638, 623, 624, 626, 627, 628, 629, - 639, 630, 640, 631, 643, 1382, 645, 646, 648, 632, - 633, 649, 635, 650, 636, 651, 653, 637, 655, 638, - 652, 652, 656, 657, 1352, 658, 639, 659, 640, 660, - 643, 645, 646, 662, 648, 661, 661, 649, 650, 663, - 666, 651, 653, 655, 664, 665, 668, 656, 669, 657, - 658, 667, 667, 659, 670, 660, 671, 673, 673, 662, - 672, 672, 672, 674, 677, 663, 666, 676, 679, 664, - - 665, 681, 668, 682, 669, 675, 675, 675, 683, 685, - 670, 671, 678, 678, 678, 684, 684, 686, 688, 674, - 677, 687, 676, 689, 679, 690, 692, 681, 694, 682, - 691, 691, 695, 699, 683, 685, 696, 697, 697, 698, - 700, 701, 702, 686, 688, 704, 687, 705, 708, 689, - 709, 690, 692, 694, 710, 712, 1346, 713, 695, 699, - 714, 696, 715, 716, 698, 718, 700, 701, 702, 719, - 720, 704, 705, 721, 708, 722, 709, 724, 726, 727, - 710, 712, 713, 729, 1345, 730, 714, 732, 715, 716, - 718, 733, 1340, 734, 735, 719, 720, 736, 721, 737, - - 738, 722, 741, 724, 726, 727, 739, 739, 744, 729, - 730, 742, 742, 732, 740, 740, 740, 733, 734, 745, - 735, 748, 736, 750, 737, 751, 738, 752, 741, 743, - 743, 743, 746, 746, 744, 747, 747, 747, 749, 753, - 753, 754, 1329, 749, 745, 755, 756, 748, 750, 758, - 759, 751, 760, 752, 761, 1302, 763, 764, 765, 765, - 765, 766, 767, 770, 749, 769, 773, 754, 749, 775, - 755, 776, 756, 777, 758, 779, 759, 760, 771, 771, - 761, 763, 764, 780, 781, 784, 766, 782, 767, 770, - 769, 783, 773, 785, 775, 786, 789, 776, 791, 777, - - 792, 779, 793, 793, 794, 796, 796, 797, 780, 799, - 781, 784, 782, 800, 801, 802, 783, 805, 806, 785, - 808, 786, 789, 810, 791, 792, 807, 807, 809, 809, - 794, 811, 813, 797, 814, 799, 812, 812, 815, 800, - 801, 802, 816, 805, 806, 818, 808, 820, 810, 821, - 822, 823, 1274, 824, 825, 1273, 826, 811, 813, 835, - 814, 827, 827, 844, 815, 830, 830, 838, 816, 837, - 837, 818, 840, 820, 843, 821, 822, 823, 824, 845, - 825, 826, 831, 831, 831, 835, 836, 836, 836, 844, - 846, 848, 838, 849, 850, 851, 855, 840, 852, 843, - - 853, 854, 856, 858, 858, 845, 859, 860, 861, 861, - 862, 863, 863, 864, 865, 866, 846, 848, 867, 849, - 850, 851, 855, 852, 868, 853, 854, 872, 856, 869, - 869, 859, 860, 873, 876, 862, 877, 878, 864, 865, - 880, 866, 881, 882, 867, 883, 884, 885, 886, 888, - 868, 891, 872, 889, 889, 890, 890, 893, 873, 1271, - 876, 877, 1267, 878, 897, 880, 898, 881, 882, 904, - 883, 884, 900, 885, 886, 888, 902, 891, 892, 892, - 894, 894, 903, 893, 895, 895, 895, 896, 896, 896, - 897, 905, 898, 899, 899, 904, 907, 900, 908, 1261, - - 909, 902, 910, 911, 912, 1246, 913, 903, 915, 917, - 917, 918, 912, 1228, 919, 921, 905, 922, 923, 923, - 923, 924, 907, 925, 908, 909, 926, 927, 910, 911, - 912, 913, 928, 929, 915, 930, 918, 929, 912, 919, - 921, 931, 932, 922, 934, 935, 936, 924, 937, 925, - 938, 939, 926, 927, 940, 941, 941, 942, 928, 929, - 930, 943, 943, 929, 944, 945, 950, 931, 932, 934, - 935, 949, 936, 952, 937, 953, 938, 939, 954, 940, - 946, 946, 955, 942, 947, 947, 948, 948, 948, 944, - 956, 945, 950, 951, 951, 957, 949, 959, 960, 952, - - 961, 953, 962, 965, 954, 963, 964, 955, 967, 967, - 968, 969, 1225, 970, 972, 973, 956, 974, 975, 975, - 957, 977, 959, 978, 960, 980, 961, 981, 962, 965, - 963, 964, 976, 976, 976, 968, 982, 969, 970, 983, - 972, 973, 974, 984, 1212, 985, 987, 977, 978, 988, - 980, 989, 990, 981, 991, 993, 994, 994, 995, 996, - 1205, 997, 982, 1001, 983, 998, 998, 1002, 1006, 984, - 985, 1003, 987, 1008, 1009, 988, 1010, 989, 990, 1011, - 991, 993, 1015, 1017, 995, 996, 997, 1018, 1001, 1016, - 1016, 1016, 1019, 1002, 1006, 1020, 1003, 1021, 1008, 1009, - - 1022, 1010, 1024, 1024, 1011, 1025, 1026, 1028, 1015, 1017, - 1027, 1027, 1027, 1018, 1029, 1030, 1185, 1031, 1019, 1032, - 1033, 1020, 1021, 1034, 1034, 1035, 1022, 1036, 1038, 1040, - 1025, 1026, 1041, 1028, 1043, 1046, 1046, 1047, 1027, 1029, - 1048, 1030, 1031, 1049, 1032, 1050, 1033, 1051, 1184, 1052, - 1054, 1035, 1056, 1036, 1038, 1040, 1057, 1058, 1041, 1043, - 1059, 1062, 1047, 1060, 1060, 1048, 1061, 1061, 1061, 1049, - 1063, 1050, 1064, 1051, 1052, 1065, 1054, 1066, 1056, 1067, - 1068, 1070, 1057, 1058, 1069, 1059, 1072, 1062, 1071, 1071, - 1071, 1073, 1074, 1075, 1078, 1080, 1063, 1082, 1064, 1083, - - 1065, 1079, 1079, 1066, 1067, 1085, 1068, 1070, 1087, 1069, - 1088, 1072, 1084, 1084, 1089, 1089, 1073, 1074, 1075, 1093, - 1078, 1080, 1094, 1082, 1095, 1083, 1091, 1091, 1091, 1096, - 1085, 1097, 1098, 1098, 1087, 1088, 1099, 1100, 1181, 1101, - 1102, 1103, 1104, 1109, 1093, 1105, 1105, 1107, 1094, 1095, - 1108, 1110, 1112, 1114, 1096, 1115, 1115, 1097, 1116, 1116, - 1116, 1123, 1099, 1100, 1101, 1124, 1102, 1103, 1104, 1109, - 1121, 1121, 1107, 1126, 1127, 1108, 1110, 1112, 1114, 1122, - 1125, 1122, 1122, 1125, 1128, 1128, 1128, 1123, 1129, 1131, - 1132, 1124, 1133, 1133, 1133, 1134, 1134, 1137, 1126, 1138, - - 1127, 1135, 1135, 1135, 1139, 1140, 1125, 1141, 1141, 1125, - 1142, 1143, 1145, 1146, 1129, 1131, 1132, 1147, 1148, 1148, - 1149, 1136, 1150, 1137, 1151, 1138, 1152, 1120, 1153, 1139, - 1140, 1154, 1155, 1155, 1156, 1158, 1142, 1143, 1145, 1146, - 1157, 1157, 1165, 1147, 1159, 1159, 1149, 1150, 1166, 1151, - 1160, 1160, 1152, 1153, 1161, 1161, 1167, 1154, 1163, 1163, - 1156, 1158, 1162, 1162, 1162, 1164, 1164, 1168, 1165, 1169, - 1170, 1171, 1171, 1166, 1172, 1172, 1172, 1173, 1119, 1175, - 1176, 1180, 1167, 1177, 1177, 1178, 1178, 1178, 1179, 1179, - 1182, 1183, 1168, 1186, 1169, 1170, 1187, 1188, 1189, 1190, - - 1190, 1190, 1191, 1173, 1175, 1176, 1192, 1180, 1193, 1194, - 1195, 1196, 1197, 1197, 1197, 1182, 1183, 1198, 1186, 1199, - 1118, 1187, 1188, 1117, 1189, 1203, 1203, 1191, 1200, 1200, - 1200, 1206, 1192, 1193, 1194, 1207, 1195, 1196, 1201, 1201, - 1201, 1208, 1214, 1198, 1209, 1199, 1202, 1202, 1202, 1204, - 1204, 1204, 1211, 1211, 1213, 1216, 1206, 1215, 1215, 1217, - 1218, 1207, 1219, 1220, 1220, 1221, 1113, 1208, 1214, 1209, - 1222, 1223, 1224, 1226, 1226, 1229, 1221, 1221, 1230, 1213, - 1231, 1216, 1232, 1233, 1217, 1218, 1234, 1234, 1219, 1236, - 1237, 1221, 1227, 1227, 1227, 1222, 1223, 1224, 1238, 1238, - - 1229, 1221, 1221, 1111, 1230, 1247, 1231, 1232, 1248, 1233, - 1235, 1235, 1235, 1240, 1240, 1236, 1237, 1239, 1239, 1239, - 1241, 1241, 1241, 1242, 1242, 1243, 1243, 1243, 1244, 1244, - 1247, 1249, 1250, 1250, 1248, 1251, 1106, 1252, 1253, 1254, - 1255, 1256, 1257, 1257, 1257, 1258, 1259, 1086, 1260, 1262, - 1263, 1264, 1265, 1265, 1266, 1266, 1268, 1249, 1269, 1270, - 1081, 1251, 1252, 1077, 1253, 1254, 1255, 1256, 1272, 1272, - 1258, 1279, 1259, 1260, 1280, 1262, 1263, 1264, 1275, 1275, - 1281, 1268, 1276, 1276, 1269, 1270, 1277, 1277, 1278, 1278, - 1282, 1282, 1282, 1283, 1285, 1076, 1286, 1279, 1287, 1280, - - 1288, 1289, 1289, 1290, 1290, 1290, 1281, 1291, 1055, 1292, - 1293, 1294, 1295, 1296, 1297, 1298, 1298, 1298, 1283, 1299, - 1285, 1286, 1300, 1287, 1301, 1288, 1303, 1304, 1304, 1305, - 1305, 1306, 1306, 1291, 1292, 1307, 1293, 1294, 1295, 1296, - 1297, 1308, 1053, 1309, 1312, 1299, 1310, 1310, 1300, 1313, - 1301, 1314, 1303, 1311, 1311, 1311, 1315, 1044, 1316, 1317, - 1317, 1307, 1318, 1319, 1042, 1320, 1321, 1308, 1309, 1312, - 1322, 1323, 1324, 1327, 1313, 1325, 1325, 1314, 1326, 1326, - 1326, 1328, 1315, 1316, 1330, 1331, 1334, 1318, 1335, 1319, - 1320, 1336, 1321, 1332, 1332, 1332, 1322, 1323, 1324, 1327, - - 1333, 1333, 1333, 1337, 1337, 1338, 1328, 1339, 1039, 1341, - 1330, 1331, 1334, 1342, 1335, 1343, 1336, 1344, 1347, 1348, - 1037, 1349, 1350, 1350, 1351, 1353, 1353, 1354, 1355, 1356, - 1356, 1338, 1360, 1339, 1341, 1357, 1357, 1357, 1361, 1342, - 1362, 1343, 1344, 1363, 1347, 1348, 1349, 1358, 1358, 1364, - 1351, 1365, 1367, 1354, 1355, 1359, 1359, 1359, 1360, 1368, - 1369, 1370, 1371, 1023, 1361, 1372, 1362, 1373, 1374, 1363, - 1375, 1376, 1376, 1377, 1377, 1364, 1365, 1367, 1378, 1379, - 1380, 1380, 1381, 1381, 1368, 1384, 1369, 1370, 1371, 1386, - 1372, 1387, 1373, 1374, 1389, 1375, 1390, 1391, 1014, 1392, - - 1393, 1394, 1395, 1378, 1379, 1397, 1397, 1398, 1399, 1403, - 1384, 1400, 1400, 1404, 1386, 1401, 1401, 1387, 1405, 1405, - 1389, 1406, 1390, 1391, 1392, 1393, 1394, 1395, 1407, 1408, - 1013, 1409, 1398, 1399, 1412, 1403, 1413, 1413, 1415, 1404, - 1416, 1416, 1417, 1417, 1418, 1005, 1419, 1406, 1420, 1420, - 1421, 1422, 1004, 1424, 1407, 1408, 1409, 1425, 1425, 1427, - 1412, 1426, 1426, 1415, 1428, 1428, 1429, 1430, 1000, 1432, - 1418, 1419, 1435, 1436, 1437, 1437, 1421, 1422, 1424, 1438, - 1438, 1439, 1440, 1441, 1442, 1427, 1444, 1444, 1445, 1445, - 1446, 1447, 1429, 1430, 1432, 1448, 1449, 1435, 1450, 1436, - - 1451, 1452, 1453, 1453, 1454, 1454, 1454, 1439, 1440, 1441, - 1442, 1455, 999, 1456, 1457, 1458, 1446, 1447, 1459, 1460, - 1464, 1448, 1449, 1461, 1450, 1451, 1465, 1452, 1462, 1462, - 1463, 1463, 1463, 1467, 1468, 1469, 1470, 1455, 1456, 1457, - 1458, 1471, 1471, 1472, 1459, 1460, 1464, 1473, 1461, 1474, - 1474, 1465, 1475, 992, 1477, 1478, 1479, 1480, 1467, 1468, - 1469, 1482, 1470, 1481, 1481, 1483, 1483, 1485, 1472, 1488, - 1489, 1489, 1490, 1473, 1491, 1492, 1493, 1496, 1475, 1477, - 1478, 1479, 1480, 1494, 1495, 1497, 1498, 1482, 1499, 1500, - 986, 1501, 1485, 1502, 1503, 1488, 1504, 1506, 1490, 1508, - - 1491, 1492, 1493, 1496, 1510, 1511, 1509, 1513, 1494, 1495, - 1497, 1512, 1498, 1514, 1499, 1500, 1501, 1517, 1502, 1503, - 1518, 1519, 1504, 1506, 1508, 1509, 1520, 1521, 1522, 1510, - 1524, 1511, 1509, 1513, 1525, 1533, 1512, 1526, 1526, 1514, - 1529, 1529, 1531, 1517, 1530, 1530, 1518, 1519, 1532, 1532, - 1509, 1534, 1520, 1521, 1522, 1524, 1535, 1537, 1537, 979, - 1525, 1533, 1538, 1538, 971, 966, 920, 1531, 916, 914, - 906, 901, 887, 875, 874, 871, 870, 1534, 847, 841, - 829, 828, 1535, 1540, 1540, 1540, 1541, 1541, 1544, 1544, - 819, 817, 804, 803, 798, 795, 790, 788, 787, 778, - - 772, 762, 757, 731, 728, 725, 723, 717, 711, 707, - 706, 703, 693, 680, 647, 644, 642, 641, 625, 612, - 611, 610, 594, 589, 582, 579, 546, 545, 538, 530, - 528, 527, 524, 512, 505, 480, 475, 469, 459, 437, - 413, 407, 386, 380, 379, 374, 364, 357, 346, 343, - 342, 327, 294, 291, 286, 285, 267, 264, 251, 234, - 229, 223, 209, 208, 176, 164, 163, 161, 154, 152, - 146, 140, 122, 119, 118, 109, 93, 91, 90, 66, - 47, 26, 7, 3, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, 1539, - 1539, 1539, 1539, 1539, 1539 - } ; - -static yy_state_type yy_last_accepting_state; -static char *yy_last_accepting_cpos; - -extern int yy_flex_debug; -int yy_flex_debug = 0; - -/* The intent behind this definition is that it'll catch - * any uses of REJECT which flex missed. - */ -#define REJECT reject_used_but_not_detected -#define yymore() yymore_used_but_not_detected -#define YY_MORE_ADJ 0 -#define YY_RESTORE_YY_MORE_OFFSET -char *yytext; -#line 1 "lex_conf.l" -#line 2 "lex_conf.l" -#include -#include -#include - -#include "configManagement.h" -#include "attributesInfo.h" -#include "random.h" -#include "messageBuffer.h" - -char *charFilter(char *string); -extern configManagement cm; -extern attributesInfo ai; -extern Random rnd; -extern messageBuffer mb; - - -#line 1669 "lex.yy.cpp" - -#define INITIAL 0 - -#ifndef YY_NO_UNISTD_H -/* Special case for "unistd.h", since it is non-ANSI. We include it way - * down here because we want the user's section 1 to have been scanned first. - * The user has a chance to override it with an option. - */ -#include -#endif - -#ifndef YY_EXTRA_TYPE -#define YY_EXTRA_TYPE void * -#endif - -static int yy_init_globals (void ); - -/* Accessor methods to globals. - These are made visible to non-reentrant scanners for convenience. */ - -int yylex_destroy (void ); - -int yyget_debug (void ); - -void yyset_debug (int debug_flag ); - -YY_EXTRA_TYPE yyget_extra (void ); - -void yyset_extra (YY_EXTRA_TYPE user_defined ); - -FILE *yyget_in (void ); - -void yyset_in (FILE * _in_str ); - -FILE *yyget_out (void ); - -void yyset_out (FILE * _out_str ); - - int yyget_leng (void ); - -char *yyget_text (void ); - -int yyget_lineno (void ); - -void yyset_lineno (int _line_number ); - -/* Macros after this point can all be overridden by user definitions in - * section 1. - */ - -#ifndef YY_SKIP_YYWRAP -#ifdef __cplusplus -extern "C" int yywrap (void ); -#else -extern int yywrap (void ); -#endif -#endif - -#ifndef YY_NO_UNPUT - - static void yyunput (int c,char *buf_ptr ); - -#endif - -#ifndef yytext_ptr -static void yy_flex_strncpy (char *,yyconst char *,int ); -#endif - -#ifdef YY_NEED_STRLEN -static int yy_flex_strlen (yyconst char * ); -#endif - -#ifndef YY_NO_INPUT - -#ifdef __cplusplus -static int yyinput (void ); -#else -static int input (void ); -#endif - -#endif - -/* Amount of stuff to slurp up with each read. */ -#ifndef YY_READ_BUF_SIZE -#ifdef __ia64__ -/* On IA-64, the buffer size is 16k, not 8k */ -#define YY_READ_BUF_SIZE 16384 -#else -#define YY_READ_BUF_SIZE 8192 -#endif /* __ia64__ */ -#endif - -/* Copy whatever the last rule matched to the standard output. */ -#ifndef ECHO -/* This used to be an fputs(), but since the string might contain NUL's, - * we now use fwrite(). - */ -#define ECHO do { if (fwrite( yytext, (size_t) yyleng, 1, yyout )) {} } while (0) -#endif - -/* Gets input and stuffs it into "buf". number of characters read, or YY_NULL, - * is returned in "result". - */ -#ifndef YY_INPUT -#define YY_INPUT(buf,result,max_size) \ - if ( YY_CURRENT_BUFFER_LVALUE->yy_is_interactive ) \ - { \ - int c = '*'; \ - int n; \ - for ( n = 0; n < max_size && \ - (c = getc( yyin )) != EOF && c != '\n'; ++n ) \ - buf[n] = (char) c; \ - if ( c == '\n' ) \ - buf[n++] = (char) c; \ - if ( c == EOF && ferror( yyin ) ) \ - YY_FATAL_ERROR( "input in flex scanner failed" ); \ - result = n; \ - } \ - else \ - { \ - errno=0; \ - while ( (result = (int) fread(buf, 1, (yy_size_t) max_size, yyin)) == 0 && ferror(yyin)) \ - { \ - if( errno != EINTR) \ - { \ - YY_FATAL_ERROR( "input in flex scanner failed" ); \ - break; \ - } \ - errno=0; \ - clearerr(yyin); \ - } \ - }\ -\ - -#endif - -/* No semi-colon after return; correct usage is to write "yyterminate();" - - * we don't want an extra ';' after the "return" because that will cause - * some compilers to complain about unreachable statements. - */ -#ifndef yyterminate -#define yyterminate() return YY_NULL -#endif - -/* Number of entries by which start-condition stack grows. */ -#ifndef YY_START_STACK_INCR -#define YY_START_STACK_INCR 25 -#endif - -/* Report a fatal error. */ -#ifndef YY_FATAL_ERROR -#define YY_FATAL_ERROR(msg) yy_fatal_error( msg ) -#endif - -/* end tables serialization structures and prototypes */ - -/* Default declaration of generated scanner - a define so the user can - * easily add parameters. - */ -#ifndef YY_DECL -#define YY_DECL_IS_OURS 1 - -extern int yylex (void); - -#define YY_DECL int yylex (void) -#endif /* !YY_DECL */ - -/* Code executed at the beginning of each rule, after yytext and yyleng - * have been set up. - */ -#ifndef YY_USER_ACTION -#define YY_USER_ACTION -#endif - -/* Code executed at the end of each rule. */ -#ifndef YY_BREAK -#define YY_BREAK /*LINTED*/break; -#endif - -#define YY_RULE_SETUP \ - YY_USER_ACTION - -/** The main scanner function which does all the work. - */ -YY_DECL -{ - yy_state_type yy_current_state; - char *yy_cp, *yy_bp; - int yy_act; - - if ( !(yy_init) ) - { - (yy_init) = 1; - -#ifdef YY_USER_INIT - YY_USER_INIT; -#endif - - if ( ! (yy_start) ) - (yy_start) = 1; /* first start state */ - - if ( ! yyin ) - yyin = stdin; - - if ( ! yyout ) - yyout = stdout; - - if ( ! YY_CURRENT_BUFFER ) { - yyensure_buffer_stack (); - YY_CURRENT_BUFFER_LVALUE = - yy_create_buffer(yyin,YY_BUF_SIZE ); - } - - yy_load_buffer_state( ); - } - - { -#line 23 "lex_conf.l" - - -#line 1890 "lex.yy.cpp" - - while ( /*CONSTCOND*/1 ) /* loops until end-of-file is reached */ - { - yy_cp = (yy_c_buf_p); - - /* Support of yytext. */ - *yy_cp = (yy_hold_char); - - /* yy_bp points to the position in yy_ch_buf of the start of - * the current run. - */ - yy_bp = yy_cp; - - yy_current_state = (yy_start); -yy_match: - do - { - YY_CHAR yy_c = yy_ec[YY_SC_TO_UI(*yy_cp)] ; - if ( yy_accept[yy_current_state] ) - { - (yy_last_accepting_state) = yy_current_state; - (yy_last_accepting_cpos) = yy_cp; - } - while ( yy_chk[yy_base[yy_current_state] + yy_c] != yy_current_state ) - { - yy_current_state = (int) yy_def[yy_current_state]; - if ( yy_current_state >= 1540 ) - yy_c = yy_meta[(unsigned int) yy_c]; - } - yy_current_state = yy_nxt[yy_base[yy_current_state] + (flex_int16_t) yy_c]; - ++yy_cp; - } - while ( yy_base[yy_current_state] != 3085 ); - -yy_find_action: - yy_act = yy_accept[yy_current_state]; - if ( yy_act == 0 ) - { /* have to back up */ - yy_cp = (yy_last_accepting_cpos); - yy_current_state = (yy_last_accepting_state); - yy_act = yy_accept[yy_current_state]; - } - - YY_DO_BEFORE_ACTION; - -do_action: /* This label is used only to access EOF actions. */ - - switch ( yy_act ) - { /* beginning of action switch */ - case 0: /* must back up */ - /* undo the effects of YY_DO_BEFORE_ACTION */ - *yy_cp = (yy_hold_char); - yy_cp = (yy_last_accepting_cpos); - yy_current_state = (yy_last_accepting_state); - goto yy_find_action; - -case 1: -YY_RULE_SETUP -#line 25 "lex_conf.l" -{ -/* int atributs=atoi(charFilter(yytext)); - ai.setNumAttributes(atributs); - mb.printf("Number of attributes in domain:%d\n" - ,atoi(charFilter(yytext)));*/ -} - YY_BREAK -case 2: -YY_RULE_SETUP -#line 32 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_CROSSOVER); - mb.printf("Crossover probability: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 3: -YY_RULE_SETUP -#line 37 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),POP_SIZE); - mb.printf("Popsize: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 4: -YY_RULE_SETUP -#line 42 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),ITERATIONS); - mb.printf("GA Iterations:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 5: -YY_RULE_SETUP -#line 47 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MIN_CLASSIFIERS); - mb.printf("Minumum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 6: -YY_RULE_SETUP -#line 53 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MAX_CLASSIFIERS); - mb.printf("Maximum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 7: -YY_RULE_SETUP -#line 60 "lex_conf.l" -{ - cm.setParameter(1,IGNORE_MISSING_VALUES); - mb.printf("Ignore missing values\n"); -} - YY_BREAK -case 8: -YY_RULE_SETUP -#line 65 "lex_conf.l" -{ - cm.setParameter(1,DUMP_EVOLUTION_STATS); - mb.printf("Dump learning process statistics at each iteration\n"); -} - YY_BREAK -case 9: -YY_RULE_SETUP -#line 70 "lex_conf.l" -{ - if(!strcasecmp(yytext+20,"TOURNAMENT")) { - cm.setParameter(TOURNAMENT_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection Algorithm\n"); - } else if(!strcasecmp(yytext+20,"TOURNAMENTWOR")) { - cm.setParameter(TOURNAMENT_WOR_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection without replacement Algorithm\n"); - } else if(!strcasecmp(yytext+20,"PARETO")) { - cm.setParameter(PARETO_SELECTION,SELECTION_ALGORITHM); - mb.printf("Pareto Selection Algorithm\n"); - } else { - mb.printf("Unknown selection algorithm:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 10: -YY_RULE_SETUP -#line 86 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),TOURNAMENT_SIZE); - mb.printf("Tournament size:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 11: -YY_RULE_SETUP -#line 91 "lex_conf.l" -{ - cm.setParameter(1,SHOW_FRONTS); - mb.printf("Show Pareto Fronts\n"); -} - YY_BREAK -case 12: -YY_RULE_SETUP -#line 96 "lex_conf.l" -{ - if(!strcasecmp(&yytext[19],"1PX")) { - cm.setParameter(CROSS_1P,CROSSOVER_OPERATOR); - mb.printf("One Point Crossover\n"); - } else if(!strcasecmp(&yytext[19],"2PX")) { - cm.setParameter(CROSS_2P,CROSSOVER_OPERATOR); - mb.printf("Two Points Crossover\n"); - } else if(!strcasecmp(&yytext[19],"INFORMED")) { - cm.setParameter(CROSS_INFORMED,CROSSOVER_OPERATOR); - mb.printf("Informed Crossover\n"); - } else { - mb.printf("Unknown crossover operator:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 13: -YY_RULE_SETUP -#line 112 "lex_conf.l" -{ - if(!strcasecmp(yytext+17,"ACCURACY")) { - cm.setParameter(MAXIMIZE,MAX_MIN); - cm.setParameter(ACCURACY,FITNESS_FUNCTION); - mb.printf("Squared accuracy fitness function\n"); - } else if(!strcasecmp(yytext+17,"MDL")) { - cm.setParameter(MINIMIZE,MAX_MIN); - cm.setParameter(MDL,FITNESS_FUNCTION); - mb.printf("MDL fitness function\n"); - } else { - mb.printf("Unknown fitness function:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 14: -YY_RULE_SETUP -#line 127 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT); - mb.printf("MDL fixed weight %f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 15: -YY_RULE_SETUP -#line 133 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT_RELAX_FACTOR); - mb.printf("MDL Weight relax factor %f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 16: -YY_RULE_SETUP -#line 138 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),MDL_INITIAL_TL_RATIO); - mb.printf("Initial theory length proportion in MDL formula: %f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 17: -YY_RULE_SETUP -#line 143 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),MDL_ITERATION); - mb.printf("Iteracio activacio MDL %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 18: -YY_RULE_SETUP -#line 148 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PRUNING_ITERATION); - mb.printf("Pruning operator activated at iteration:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 19: -YY_RULE_SETUP -#line 153 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PRUNING_MIN_CLASSIFIERS); - mb.printf("Pruning stops if #classifiers is less that %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 20: -YY_RULE_SETUP -#line 158 "lex_conf.l" -{ - cm.setParameter(1,PRUNING_AUTO_THRESHOLD); - mb.printf("The number of min classifiers is automatically set\n"); -} - YY_BREAK -case 21: -YY_RULE_SETUP -#line 162 "lex_conf.l" -{ - cm.setParameter(1,PRUNING_AUTO_THRESHOLD2); - mb.printf("The number of min classifiers is automatically set2\n"); -} - YY_BREAK -case 22: -YY_RULE_SETUP -#line 167 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),PRUNING_AUTO_OFFSET); - mb.printf("The min classifiers offset %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 23: -YY_RULE_SETUP -#line 172 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_INDIVIDUAL_MUTATION); - mb.printf("Individual-wise mutation probability:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 24: -YY_RULE_SETUP -#line 177 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,HIERARCHICAL_SELECTION_ITERATION); - mb.printf("Hierarchical selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 25: -YY_RULE_SETUP -#line 183 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),HIERARCHICAL_SELECTION_THRESHOLD); - mb.printf("Hierarchical selection threshold :%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 26: -YY_RULE_SETUP -#line 189 "lex_conf.l" -{ - cm.setParameter(1,HIERARCHICAL_SELECTION_USES_MDL); - mb.printf("Hierarchical selection uses MDL Theory Length\n"); -} - YY_BREAK -case 27: -YY_RULE_SETUP -#line 194 "lex_conf.l" -{ - cm.setParameter(1,CHECK_WINDOWING); - mb.printf("Performance tests of windowing enabled"); -} - YY_BREAK -case 28: -YY_RULE_SETUP -#line 199 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_ILAS); - mb.printf("ILAS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 29: -YY_RULE_SETUP -#line 204 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_GWS); - mb.printf("GWS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 30: -YY_RULE_SETUP -#line 210 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_ONE); - mb.printf("Probability of value ONE for GABIL and ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 31: -YY_RULE_SETUP -#line 216 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_SHARP); - mb.printf("Probability of value Sharp for LCS/Instances KR:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 32: -YY_RULE_SETUP -#line 222 "lex_conf.l" -{ - cm.setParameter(1,KR_ADI); - mb.printf("Using Adaptive Discretization Intervals Knowledge Representation\n"); -} - YY_BREAK -case 33: -YY_RULE_SETUP -#line 227 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_MERGE); - mb.printf("Probability of merge operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 34: -YY_RULE_SETUP -#line 233 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_SPLIT); - mb.printf("Probability of split operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 35: -YY_RULE_SETUP -#line 239 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE); - mb.printf("Probability of reinitialize operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 36: -YY_RULE_SETUP -#line 245 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE_AT_END); - mb.printf("Probability of reinitialize operator at final iteration in ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 37: -YY_RULE_SETUP -#line 251 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),MAX_INTERVALS); - mb.printf("Maximum number of intervals per attribute in ADI KR:%d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 38: -YY_RULE_SETUP -#line 257 "lex_conf.l" -{ - cm.setParameter(1,KR_HYPERRECT); - mb.printf("Using HYPERRECT Knowledge Representation\n"); -} - YY_BREAK -case 39: -YY_RULE_SETUP -#line 262 "lex_conf.l" -{ - cm.setParameter(1,KR_LCS); - mb.printf("Using LCS Knowledge Representation\n"); -} - YY_BREAK -case 40: -YY_RULE_SETUP -#line 267 "lex_conf.l" -{ - cm.setParameter(1,KR_INSTANCE_SET); - mb.printf("Using Instance Set/1-NN Knowledge Representation\n"); -} - YY_BREAK -case 41: -YY_RULE_SETUP -#line 272 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,ALPHA_OF_BLX); - mb.printf("Using BLX crossover with alpha:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 42: -YY_RULE_SETUP -#line 278 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,D_OF_FR); - mb.printf("Using FR crossover with D:%f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 43: -YY_RULE_SETUP -#line 283 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,N_OF_SBX); - mb.printf("Using SBX crossover with N:%f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 44: -YY_RULE_SETUP -#line 288 "lex_conf.l" -{ - rnd.setSeed((unsigned long int)atof(charFilter(yytext))); - mb.printf("Random seed specified:%s\n",yytext+12); -} - YY_BREAK -case 45: -YY_RULE_SETUP -#line 293 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE); - mb.printf("Penalize the individuals that have a size less than %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 46: -YY_RULE_SETUP -#line 299 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE_AT_END); - mb.printf("Penalize the individuals that have a size less than %d at end\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 47: -YY_RULE_SETUP -#line 305 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PARETO_SELECTION_ITERATION); - mb.printf("Pareto selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 48: -YY_RULE_SETUP -#line 312 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)) ,TOTAL_TIME); - mb.printf("Time spent on the learning process %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 49: -YY_RULE_SETUP -#line 318 "lex_conf.l" -{ - if(!strcasecmp(yytext+14,"MAJOR")) { - cm.setParameter(MAJOR,DEFAULT_CLASS); - mb.printf("Majoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"MINOR")) { - cm.setParameter(MINOR,DEFAULT_CLASS); - mb.printf("Minoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"DISABLED")) { - cm.setParameter(DISABLED,DEFAULT_CLASS); - mb.printf("Default class disabled\n"); - } else if(!strcasecmp(yytext+14,"AUTO")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - mb.printf("Automatical determination of default class\n"); - } else if(!strcasecmp(yytext+14,"AUTO2")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - cm.setParameter(1,HARD_NICHING_DISABLE); - mb.printf("Automatical determination of default class with alternative niching disabling code\n"); - } else if(!strcasecmp(yytext+14,"FIXED")) { - cm.setParameter(FIXED,DEFAULT_CLASS); - mb.printf("Default class fixed\n"); - } else { - mb.printf("Unknown default class policy:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 50: -YY_RULE_SETUP -#line 344 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)) ,FIXED_DEFAULT_CLASS); - mb.printf("User fixed default class %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 51: -YY_RULE_SETUP -#line 350 "lex_conf.l" -{ - cm.setParameter(1 ,SMART_INIT); - mb.printf("Initialization uses examples to create the initial rules\n"); -} - YY_BREAK -case 52: -YY_RULE_SETUP -#line 355 "lex_conf.l" -{ - cm.setParameter(1 ,CLASS_WISE_INIT); - mb.printf("Instances used in initialization are sampled with uniform class distribution\n"); -} - YY_BREAK -case 53: -YY_RULE_SETUP -#line 360 "lex_conf.l" -{ - cm.setParameter(1 ,CLASS_WISE_ACC); - mb.printf("Training accuracy computation will be class-wise\n"); -} - YY_BREAK -case 54: -YY_RULE_SETUP -#line 366 "lex_conf.l" -{ - cm.setParameter(1 ,DUMP_ACTIVATION); - mb.printf("Dump average activation after initialization\n"); -} - YY_BREAK -case 55: -YY_RULE_SETUP -#line 372 "lex_conf.l" -{ - if(!strcasecmp(yytext+15,"FTB")) { - cm.setParameter(FTB,PRUNING_POLICY); - mb.printf("Rule pruning policy is front to back\n"); - } else if(!strcasecmp(yytext+15,"BTF")) { - cm.setParameter(BTF,PRUNING_POLICY); - mb.printf("Rule pruning policy is back to front\n"); - } else if(!strcasecmp(yytext+15,"RANDOM")) { - cm.setParameter(RANDOM,PRUNING_POLICY); - mb.printf("Rule pruning policy is random\n"); - } else { - mb.printf("Unknown pruning policy:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 56: -YY_RULE_SETUP -#line 389 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_SMART_CROSSOVER); - mb.printf("Smart crossover probability: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 57: -YY_RULE_SETUP -#line 394 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),NUM_PARENTS_SMART_CROSSOVER); - mb.printf("Number of parents in smart crossover: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 58: -YY_RULE_SETUP -#line 400 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),FILTER_SMART_CROSSOVER); - mb.printf("Smart crossover filter threshold: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 59: -YY_RULE_SETUP -#line 406 "lex_conf.l" -{ - cm.setParameter(1,ADD_RULES_SMART_CROSSOVER); - mb.printf("Smart crossover adds new rules\n"); -} - YY_BREAK -case 60: -YY_RULE_SETUP -#line 411 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_ORDERING); - mb.printf("Number of repetitions of the rule ordering process in SmartX: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 61: -YY_RULE_SETUP -#line 416 "lex_conf.l" -{ - cm.setParameter(1,ELITISM_WITH_SMART_CROSSOVER); - mb.printf("Elitism stage will use smart crossover\n"); -} - YY_BREAK -case 62: -YY_RULE_SETUP -#line 420 "lex_conf.l" -{ - cm.setParameter(1,ELITISM_LAST_ITERATION_WITH_SMART_CROSSOVER); - mb.printf("Last iteration of elitism stage will use smart crossover\n"); -} - YY_BREAK -case 63: -YY_RULE_SETUP -#line 426 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),RULE_CLEANING_PROB); - mb.printf("Rule cleaning probability : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 64: -YY_RULE_SETUP -#line 431 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),RULE_GENERALIZING_PROB); - mb.printf("Rule generalizing probability : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 65: -YY_RULE_SETUP -#line 437 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),DUMP_GENOTYPE_ITERATIONS); - mb.printf("Genotype of best individual is dumped every %d iterations\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 66: -YY_RULE_SETUP -#line 442 "lex_conf.l" -{ - mb.enable(); -} - YY_BREAK -case 67: -YY_RULE_SETUP -#line 446 "lex_conf.l" -{ - mb.printf("Crossover will use informed cut points (cutPoints.dat)\n"); - cm.setParameter(1,INFORMED_CROSSOVER); -} - YY_BREAK -case 68: -YY_RULE_SETUP -#line 451 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),COVERAGE_INIT); - mb.printf("Coverage ratio in initialization : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 69: -YY_RULE_SETUP -#line 456 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),EXPRESSED_ATT_INIT); - mb.printf("Number of expressed attributes in initialization : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 70: -YY_RULE_SETUP -#line 462 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),COVERAGE_BREAKPOINT); - mb.printf("Coverage breakpoint for MDL fitness : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 71: -YY_RULE_SETUP -#line 467 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),COVERAGE_RATIO); - mb.printf("Coverage ratio for MDL fitness : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 72: -YY_RULE_SETUP -#line 473 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_LEARNING); - mb.printf("Number of times we will try to learn a rule from the current training set: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 73: -YY_RULE_SETUP -#line 478 "lex_conf.l" -{ - mb.printf("Intervalar representation will use rotations\n"); - cm.setParameter(1,ROTATE_HYPERRECTANGLES); -} - YY_BREAK -case 74: -YY_RULE_SETUP -#line 483 "lex_conf.l" -{ - mb.printf("Only a subset of attributes will be rotated (rotatedAttributes.dat)\n"); - cm.setParameter(1,RESTRICTED_ROTATED_ATTRIBUTES); -} - YY_BREAK -case 75: -YY_RULE_SETUP -#line 489 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_INIT); - mb.printf("Probability of setting an angle to 0 degrees in initialization: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 76: -YY_RULE_SETUP -#line 494 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_MUT); - mb.printf("Probability of setting an angle to 0 degrees in mutation: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 77: -YY_RULE_SETUP -#line 499 "lex_conf.l" -{ - mb.printf("Hyperrectangle attribute list knowledge representation\n"); - cm.setParameter(1,HYPERRECT_LIST); -} - YY_BREAK -case 78: -YY_RULE_SETUP -#line 504 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_GENERALIZE_LIST); - mb.printf("Probability of generalizing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 79: -YY_RULE_SETUP -#line 508 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_SPECIALIZE_LIST); - mb.printf("Probability of specializing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 80: -YY_RULE_SETUP -#line 513 "lex_conf.l" -{ - mb.printf("Using the coverage breakpoint adjustment heuristic\n"); - cm.setParameter(1,COVERAGE_BREAK_HEURISTIC); -} - YY_BREAK -case 81: -YY_RULE_SETUP -#line 519 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),ITERATIONS_COVADJ); - mb.printf("Number of iterations of the coverage break adjustement heuristic: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 82: -YY_RULE_SETUP -#line 524 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),POPULATIONS_COVADJ); - mb.printf("Number of populations used in the coverage break adjustement heuristic: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 83: -YY_RULE_SETUP -#line 529 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),NUM_ATTS_K); - mb.printf("Expected number of attributes: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 84: -YY_RULE_SETUP -#line 534 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),DEVICE_SELECTED); - mb.printf("Device selected through configuration: %f\n",atof(charFilter(yytext))); - -} - YY_BREAK -case 85: -YY_RULE_SETUP -#line 540 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PERC_DEVICE_MEM); - mb.printf("Percentage of device memory used: %f\n",atof(charFilter(yytext))); - -} - YY_BREAK -case 86: -YY_RULE_SETUP -#line 546 "lex_conf.l" -{ - mb.printf("CUDA Enabled fitness function activated\n"); - cm.setParameter(1,CUDA_ENABLED); -} - YY_BREAK -case 87: -*yy_cp = (yy_hold_char); /* undo effects of setting up yytext */ -(yy_c_buf_p) = yy_cp -= 1; -YY_DO_BEFORE_ACTION; /* set up yytext again */ -YY_RULE_SETUP -#line 556 "lex_conf.l" -/* eat up one-line comments */ - YY_BREAK -case 88: -/* rule 88 can match eol */ -YY_RULE_SETUP -#line 558 "lex_conf.l" -/* eat up whitespace */ - YY_BREAK -case 89: -YY_RULE_SETUP -#line 560 "lex_conf.l" -mb.printf( "Unrecognized character: %s\n", yytext ); - YY_BREAK -case 90: -YY_RULE_SETUP -#line 562 "lex_conf.l" -ECHO; - YY_BREAK -#line 2747 "lex.yy.cpp" -case YY_STATE_EOF(INITIAL): - yyterminate(); - - case YY_END_OF_BUFFER: - { - /* Amount of text matched not including the EOB char. */ - int yy_amount_of_matched_text = (int) (yy_cp - (yytext_ptr)) - 1; - - /* Undo the effects of YY_DO_BEFORE_ACTION. */ - *yy_cp = (yy_hold_char); - YY_RESTORE_YY_MORE_OFFSET - - if ( YY_CURRENT_BUFFER_LVALUE->yy_buffer_status == YY_BUFFER_NEW ) - { - /* We're scanning a new file or input source. It's - * possible that this happened because the user - * just pointed yyin at a new source and called - * yylex(). If so, then we have to assure - * consistency between YY_CURRENT_BUFFER and our - * globals. Here is the right place to do so, because - * this is the first action (other than possibly a - * back-up) that will match for the new input source. - */ - (yy_n_chars) = YY_CURRENT_BUFFER_LVALUE->yy_n_chars; - YY_CURRENT_BUFFER_LVALUE->yy_input_file = yyin; - YY_CURRENT_BUFFER_LVALUE->yy_buffer_status = YY_BUFFER_NORMAL; - } - - /* Note that here we test for yy_c_buf_p "<=" to the position - * of the first EOB in the buffer, since yy_c_buf_p will - * already have been incremented past the NUL character - * (since all states make transitions on EOB to the - * end-of-buffer state). Contrast this with the test - * in input(). - */ - if ( (yy_c_buf_p) <= &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)] ) - { /* This was really a NUL. */ - yy_state_type yy_next_state; - - (yy_c_buf_p) = (yytext_ptr) + yy_amount_of_matched_text; - - yy_current_state = yy_get_previous_state( ); - - /* Okay, we're now positioned to make the NUL - * transition. We couldn't have - * yy_get_previous_state() go ahead and do it - * for us because it doesn't know how to deal - * with the possibility of jamming (and we don't - * want to build jamming into it because then it - * will run more slowly). - */ - - yy_next_state = yy_try_NUL_trans( yy_current_state ); - - yy_bp = (yytext_ptr) + YY_MORE_ADJ; - - if ( yy_next_state ) - { - /* Consume the NUL. */ - yy_cp = ++(yy_c_buf_p); - yy_current_state = yy_next_state; - goto yy_match; - } - - else - { - yy_cp = (yy_c_buf_p); - goto yy_find_action; - } - } - - else switch ( yy_get_next_buffer( ) ) - { - case EOB_ACT_END_OF_FILE: - { - (yy_did_buffer_switch_on_eof) = 0; - - if ( yywrap( ) ) - { - /* Note: because we've taken care in - * yy_get_next_buffer() to have set up - * yytext, we can now set up - * yy_c_buf_p so that if some total - * hoser (like flex itself) wants to - * call the scanner after we return the - * YY_NULL, it'll still work - another - * YY_NULL will get returned. - */ - (yy_c_buf_p) = (yytext_ptr) + YY_MORE_ADJ; - - yy_act = YY_STATE_EOF(YY_START); - goto do_action; - } - - else - { - if ( ! (yy_did_buffer_switch_on_eof) ) - YY_NEW_FILE; - } - break; - } - - case EOB_ACT_CONTINUE_SCAN: - (yy_c_buf_p) = - (yytext_ptr) + yy_amount_of_matched_text; - - yy_current_state = yy_get_previous_state( ); - - yy_cp = (yy_c_buf_p); - yy_bp = (yytext_ptr) + YY_MORE_ADJ; - goto yy_match; - - case EOB_ACT_LAST_MATCH: - (yy_c_buf_p) = - &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)]; - - yy_current_state = yy_get_previous_state( ); - - yy_cp = (yy_c_buf_p); - yy_bp = (yytext_ptr) + YY_MORE_ADJ; - goto yy_find_action; - } - break; - } - - default: - YY_FATAL_ERROR( - "fatal flex scanner internal error--no action found" ); - } /* end of action switch */ - } /* end of scanning one token */ - } /* end of user's declarations */ -} /* end of yylex */ - -/* yy_get_next_buffer - try to read in a new buffer - * - * Returns a code representing an action: - * EOB_ACT_LAST_MATCH - - * EOB_ACT_CONTINUE_SCAN - continue scanning from current position - * EOB_ACT_END_OF_FILE - end of file - */ -static int yy_get_next_buffer (void) -{ - char *dest = YY_CURRENT_BUFFER_LVALUE->yy_ch_buf; - char *source = (yytext_ptr); - yy_size_t number_to_move, i; - int ret_val; - - if ( (yy_c_buf_p) > &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars) + 1] ) - YY_FATAL_ERROR( - "fatal flex scanner internal error--end of buffer missed" ); - - if ( YY_CURRENT_BUFFER_LVALUE->yy_fill_buffer == 0 ) - { /* Don't try to fill the buffer, so this is an EOF. */ - if ( (yy_c_buf_p) - (yytext_ptr) - YY_MORE_ADJ == 1 ) - { - /* We matched a single character, the EOB, so - * treat this as a final EOF. - */ - return EOB_ACT_END_OF_FILE; - } - - else - { - /* We matched some text prior to the EOB, first - * process it. - */ - return EOB_ACT_LAST_MATCH; - } - } - - /* Try to read more data. */ - - /* First move last chars to start of buffer. */ - number_to_move = (yy_size_t) ((yy_c_buf_p) - (yytext_ptr)) - 1; - - for ( i = 0; i < number_to_move; ++i ) - *(dest++) = *(source++); - - if ( YY_CURRENT_BUFFER_LVALUE->yy_buffer_status == YY_BUFFER_EOF_PENDING ) - /* don't do the read, it's not guaranteed to return an EOF, - * just force an EOF - */ - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars) = 0; - - else - { - int num_to_read = - YY_CURRENT_BUFFER_LVALUE->yy_buf_size - number_to_move - 1; - - while ( num_to_read <= 0 ) - { /* Not enough room in the buffer - grow it. */ - - /* just a shorter name for the current buffer */ - YY_BUFFER_STATE b = YY_CURRENT_BUFFER_LVALUE; - - int yy_c_buf_p_offset = - (int) ((yy_c_buf_p) - b->yy_ch_buf); - - if ( b->yy_is_our_buffer ) - { - int new_size = b->yy_buf_size * 2; - - if ( new_size <= 0 ) - b->yy_buf_size += b->yy_buf_size / 8; - else - b->yy_buf_size *= 2; - - b->yy_ch_buf = (char *) - /* Include room in for 2 EOB chars. */ - yyrealloc((void *) b->yy_ch_buf,(yy_size_t) (b->yy_buf_size + 2) ); - } - else - /* Can't grow it, we don't own it. */ - b->yy_ch_buf = NULL; - - if ( ! b->yy_ch_buf ) - YY_FATAL_ERROR( - "fatal error - scanner input buffer overflow" ); - - (yy_c_buf_p) = &b->yy_ch_buf[yy_c_buf_p_offset]; - - num_to_read = YY_CURRENT_BUFFER_LVALUE->yy_buf_size - - number_to_move - 1; - - } - - if ( num_to_read > YY_READ_BUF_SIZE ) - num_to_read = YY_READ_BUF_SIZE; - - /* Read in more data. */ - YY_INPUT( (&YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[number_to_move]), - (yy_n_chars), num_to_read ); - - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars); - } - - if ( (yy_n_chars) == 0 ) - { - if ( number_to_move == YY_MORE_ADJ ) - { - ret_val = EOB_ACT_END_OF_FILE; - yyrestart(yyin ); - } - - else - { - ret_val = EOB_ACT_LAST_MATCH; - YY_CURRENT_BUFFER_LVALUE->yy_buffer_status = - YY_BUFFER_EOF_PENDING; - } - } - - else - ret_val = EOB_ACT_CONTINUE_SCAN; - - if ((int) ((yy_n_chars) + number_to_move) > YY_CURRENT_BUFFER_LVALUE->yy_buf_size) { - /* Extend the array by 50%, plus the number we really need. */ - int new_size = (yy_n_chars) + number_to_move + ((yy_n_chars) >> 1); - YY_CURRENT_BUFFER_LVALUE->yy_ch_buf = (char *) yyrealloc((void *) YY_CURRENT_BUFFER_LVALUE->yy_ch_buf,(yy_size_t) new_size ); - if ( ! YY_CURRENT_BUFFER_LVALUE->yy_ch_buf ) - YY_FATAL_ERROR( "out of dynamic memory in yy_get_next_buffer()" ); - } - - (yy_n_chars) += number_to_move; - YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)] = YY_END_OF_BUFFER_CHAR; - YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars) + 1] = YY_END_OF_BUFFER_CHAR; - - (yytext_ptr) = &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[0]; - - return ret_val; -} - -/* yy_get_previous_state - get the state just before the EOB char was reached */ - - static yy_state_type yy_get_previous_state (void) -{ - yy_state_type yy_current_state; - char *yy_cp; - - yy_current_state = (yy_start); - - for ( yy_cp = (yytext_ptr) + YY_MORE_ADJ; yy_cp < (yy_c_buf_p); ++yy_cp ) - { - YY_CHAR yy_c = (*yy_cp ? yy_ec[YY_SC_TO_UI(*yy_cp)] : 1); - if ( yy_accept[yy_current_state] ) - { - (yy_last_accepting_state) = yy_current_state; - (yy_last_accepting_cpos) = yy_cp; - } - while ( yy_chk[yy_base[yy_current_state] + yy_c] != yy_current_state ) - { - yy_current_state = (int) yy_def[yy_current_state]; - if ( yy_current_state >= 1540 ) - yy_c = yy_meta[(unsigned int) yy_c]; - } - yy_current_state = yy_nxt[yy_base[yy_current_state] + (flex_int16_t) yy_c]; - } - - return yy_current_state; -} - -/* yy_try_NUL_trans - try to make a transition on the NUL character - * - * synopsis - * next_state = yy_try_NUL_trans( current_state ); - */ - static yy_state_type yy_try_NUL_trans (yy_state_type yy_current_state ) -{ - int yy_is_jam; - char *yy_cp = (yy_c_buf_p); - - YY_CHAR yy_c = 1; - if ( yy_accept[yy_current_state] ) - { - (yy_last_accepting_state) = yy_current_state; - (yy_last_accepting_cpos) = yy_cp; - } - while ( yy_chk[yy_base[yy_current_state] + yy_c] != yy_current_state ) - { - yy_current_state = (int) yy_def[yy_current_state]; - if ( yy_current_state >= 1540 ) - yy_c = yy_meta[(unsigned int) yy_c]; - } - yy_current_state = yy_nxt[yy_base[yy_current_state] + (flex_int16_t) yy_c]; - yy_is_jam = (yy_current_state == 1539); - - return yy_is_jam ? 0 : yy_current_state; -} - -#ifndef YY_NO_UNPUT - - static void yyunput (int c, char * yy_bp ) -{ - char *yy_cp; - - yy_cp = (yy_c_buf_p); - - /* undo effects of setting up yytext */ - *yy_cp = (yy_hold_char); - - if ( yy_cp < YY_CURRENT_BUFFER_LVALUE->yy_ch_buf + 2 ) - { /* need to shift things up to make room */ - /* +2 for EOB chars. */ - int number_to_move = (yy_n_chars) + 2; - char *dest = &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[ - YY_CURRENT_BUFFER_LVALUE->yy_buf_size + 2]; - char *source = - &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[number_to_move]; - - while ( source > YY_CURRENT_BUFFER_LVALUE->yy_ch_buf ) - *--dest = *--source; - - yy_cp += (int) (dest - source); - yy_bp += (int) (dest - source); - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = - (yy_n_chars) = (int) YY_CURRENT_BUFFER_LVALUE->yy_buf_size; - - if ( yy_cp < YY_CURRENT_BUFFER_LVALUE->yy_ch_buf + 2 ) - YY_FATAL_ERROR( "flex scanner push-back overflow" ); - } - - *--yy_cp = (char) c; - - (yytext_ptr) = yy_bp; - (yy_hold_char) = *yy_cp; - (yy_c_buf_p) = yy_cp; -} - -#endif - -#ifndef YY_NO_INPUT -#ifdef __cplusplus - static int yyinput (void) -#else - static int input (void) -#endif - -{ - int c; - - *(yy_c_buf_p) = (yy_hold_char); - - if ( *(yy_c_buf_p) == YY_END_OF_BUFFER_CHAR ) - { - /* yy_c_buf_p now points to the character we want to return. - * If this occurs *before* the EOB characters, then it's a - * valid NUL; if not, then we've hit the end of the buffer. - */ - if ( (yy_c_buf_p) < &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)] ) - /* This was really a NUL. */ - *(yy_c_buf_p) = '\0'; - - else - { /* need more input */ - int offset = (yy_c_buf_p) - (yytext_ptr); - ++(yy_c_buf_p); - - switch ( yy_get_next_buffer( ) ) - { - case EOB_ACT_LAST_MATCH: - /* This happens because yy_g_n_b() - * sees that we've accumulated a - * token and flags that we need to - * try matching the token before - * proceeding. But for input(), - * there's no matching to consider. - * So convert the EOB_ACT_LAST_MATCH - * to EOB_ACT_END_OF_FILE. - */ - - /* Reset buffer status. */ - yyrestart(yyin ); - - /*FALLTHROUGH*/ - - case EOB_ACT_END_OF_FILE: - { - if ( yywrap( ) ) - return 0; - - if ( ! (yy_did_buffer_switch_on_eof) ) - YY_NEW_FILE; -#ifdef __cplusplus - return yyinput(); -#else - return input(); -#endif - } - - case EOB_ACT_CONTINUE_SCAN: - (yy_c_buf_p) = (yytext_ptr) + offset; - break; - } - } - } - - c = *(unsigned char *) (yy_c_buf_p); /* cast for 8-bit char's */ - *(yy_c_buf_p) = '\0'; /* preserve yytext */ - (yy_hold_char) = *++(yy_c_buf_p); - - return c; -} -#endif /* ifndef YY_NO_INPUT */ - -/** Immediately switch to a different input stream. - * @param input_file A readable stream. - * - * @note This function does not reset the start condition to @c INITIAL . - */ - void yyrestart (FILE * input_file ) -{ - - if ( ! YY_CURRENT_BUFFER ){ - yyensure_buffer_stack (); - YY_CURRENT_BUFFER_LVALUE = - yy_create_buffer(yyin,YY_BUF_SIZE ); - } - - yy_init_buffer(YY_CURRENT_BUFFER,input_file ); - yy_load_buffer_state( ); -} - -/** Switch to a different input buffer. - * @param new_buffer The new input buffer. - * - */ - void yy_switch_to_buffer (YY_BUFFER_STATE new_buffer ) -{ - - /* TODO. We should be able to replace this entire function body - * with - * yypop_buffer_state(); - * yypush_buffer_state(new_buffer); - */ - yyensure_buffer_stack (); - if ( YY_CURRENT_BUFFER == new_buffer ) - return; - - if ( YY_CURRENT_BUFFER ) - { - /* Flush out information for old buffer. */ - *(yy_c_buf_p) = (yy_hold_char); - YY_CURRENT_BUFFER_LVALUE->yy_buf_pos = (yy_c_buf_p); - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars); - } - - YY_CURRENT_BUFFER_LVALUE = new_buffer; - yy_load_buffer_state( ); - - /* We don't actually know whether we did this switch during - * EOF (yywrap()) processing, but the only time this flag - * is looked at is after yywrap() is called, so it's safe - * to go ahead and always set it. - */ - (yy_did_buffer_switch_on_eof) = 1; -} - -static void yy_load_buffer_state (void) -{ - (yy_n_chars) = YY_CURRENT_BUFFER_LVALUE->yy_n_chars; - (yytext_ptr) = (yy_c_buf_p) = YY_CURRENT_BUFFER_LVALUE->yy_buf_pos; - yyin = YY_CURRENT_BUFFER_LVALUE->yy_input_file; - (yy_hold_char) = *(yy_c_buf_p); -} - -/** Allocate and initialize an input buffer state. - * @param file A readable stream. - * @param size The character buffer size in bytes. When in doubt, use @c YY_BUF_SIZE. - * - * @return the allocated buffer state. - */ - YY_BUFFER_STATE yy_create_buffer (FILE * file, int size ) -{ - YY_BUFFER_STATE b; - - b = (YY_BUFFER_STATE) yyalloc(sizeof( struct yy_buffer_state ) ); - if ( ! b ) - YY_FATAL_ERROR( "out of dynamic memory in yy_create_buffer()" ); - - b->yy_buf_size = size; - - /* yy_ch_buf has to be 2 characters longer than the size given because - * we need to put in 2 end-of-buffer characters. - */ - b->yy_ch_buf = (char *) yyalloc((yy_size_t) (b->yy_buf_size + 2) ); - if ( ! b->yy_ch_buf ) - YY_FATAL_ERROR( "out of dynamic memory in yy_create_buffer()" ); - - b->yy_is_our_buffer = 1; - - yy_init_buffer(b,file ); - - return b; -} - -/** Destroy the buffer. - * @param b a buffer created with yy_create_buffer() - * - */ - void yy_delete_buffer (YY_BUFFER_STATE b ) -{ - - if ( ! b ) - return; - - if ( b == YY_CURRENT_BUFFER ) /* Not sure if we should pop here. */ - YY_CURRENT_BUFFER_LVALUE = (YY_BUFFER_STATE) 0; - - if ( b->yy_is_our_buffer ) - yyfree((void *) b->yy_ch_buf ); - - yyfree((void *) b ); -} - -/* Initializes or reinitializes a buffer. - * This function is sometimes called more than once on the same buffer, - * such as during a yyrestart() or at EOF. - */ - static void yy_init_buffer (YY_BUFFER_STATE b, FILE * file ) - -{ - int oerrno = errno; - - yy_flush_buffer(b ); - - b->yy_input_file = file; - b->yy_fill_buffer = 1; - - /* If b is the current buffer, then yy_init_buffer was _probably_ - * called from yyrestart() or through yy_get_next_buffer. - * In that case, we don't want to reset the lineno or column. - */ - if (b != YY_CURRENT_BUFFER){ - b->yy_bs_lineno = 1; - b->yy_bs_column = 0; - } - - b->yy_is_interactive = file ? (isatty( fileno(file) ) > 0) : 0; - - errno = oerrno; -} - -/** Discard all buffered characters. On the next scan, YY_INPUT will be called. - * @param b the buffer state to be flushed, usually @c YY_CURRENT_BUFFER. - * - */ - void yy_flush_buffer (YY_BUFFER_STATE b ) -{ - if ( ! b ) - return; - - b->yy_n_chars = 0; - - /* We always need two end-of-buffer characters. The first causes - * a transition to the end-of-buffer state. The second causes - * a jam in that state. - */ - b->yy_ch_buf[0] = YY_END_OF_BUFFER_CHAR; - b->yy_ch_buf[1] = YY_END_OF_BUFFER_CHAR; - - b->yy_buf_pos = &b->yy_ch_buf[0]; - - b->yy_at_bol = 1; - b->yy_buffer_status = YY_BUFFER_NEW; - - if ( b == YY_CURRENT_BUFFER ) - yy_load_buffer_state( ); -} - -/** Pushes the new state onto the stack. The new state becomes - * the current state. This function will allocate the stack - * if necessary. - * @param new_buffer The new state. - * - */ -void yypush_buffer_state (YY_BUFFER_STATE new_buffer ) -{ - if (new_buffer == NULL) - return; - - yyensure_buffer_stack(); - - /* This block is copied from yy_switch_to_buffer. */ - if ( YY_CURRENT_BUFFER ) - { - /* Flush out information for old buffer. */ - *(yy_c_buf_p) = (yy_hold_char); - YY_CURRENT_BUFFER_LVALUE->yy_buf_pos = (yy_c_buf_p); - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars); - } - - /* Only push if top exists. Otherwise, replace top. */ - if (YY_CURRENT_BUFFER) - (yy_buffer_stack_top)++; - YY_CURRENT_BUFFER_LVALUE = new_buffer; - - /* copied from yy_switch_to_buffer. */ - yy_load_buffer_state( ); - (yy_did_buffer_switch_on_eof) = 1; -} - -/** Removes and deletes the top of the stack, if present. - * The next element becomes the new top. - * - */ -void yypop_buffer_state (void) -{ - if (!YY_CURRENT_BUFFER) - return; - - yy_delete_buffer(YY_CURRENT_BUFFER ); - YY_CURRENT_BUFFER_LVALUE = NULL; - if ((yy_buffer_stack_top) > 0) - --(yy_buffer_stack_top); - - if (YY_CURRENT_BUFFER) { - yy_load_buffer_state( ); - (yy_did_buffer_switch_on_eof) = 1; - } -} - -/* Allocates the stack if it does not exist. - * Guarantees space for at least one push. - */ -static void yyensure_buffer_stack (void) -{ - int num_to_alloc; - - if (!(yy_buffer_stack)) { - - /* First allocation is just for 2 elements, since we don't know if this - * scanner will even need a stack. We use 2 instead of 1 to avoid an - * immediate realloc on the next call. - */ - num_to_alloc = 1; /* After all that talk, this was set to 1 anyways... */ - (yy_buffer_stack) = (struct yy_buffer_state**)yyalloc - (num_to_alloc * sizeof(struct yy_buffer_state*) - ); - if ( ! (yy_buffer_stack) ) - YY_FATAL_ERROR( "out of dynamic memory in yyensure_buffer_stack()" ); - - memset((yy_buffer_stack), 0, num_to_alloc * sizeof(struct yy_buffer_state*)); - - (yy_buffer_stack_max) = num_to_alloc; - (yy_buffer_stack_top) = 0; - return; - } - - if ((yy_buffer_stack_top) >= ((yy_buffer_stack_max)) - 1){ - - /* Increase the buffer to prepare for a possible push. */ - yy_size_t grow_size = 8 /* arbitrary grow size */; - - num_to_alloc = (yy_buffer_stack_max) + grow_size; - (yy_buffer_stack) = (struct yy_buffer_state**)yyrealloc - ((yy_buffer_stack), - num_to_alloc * sizeof(struct yy_buffer_state*) - ); - if ( ! (yy_buffer_stack) ) - YY_FATAL_ERROR( "out of dynamic memory in yyensure_buffer_stack()" ); - - /* zero only the new slots.*/ - memset((yy_buffer_stack) + (yy_buffer_stack_max), 0, grow_size * sizeof(struct yy_buffer_state*)); - (yy_buffer_stack_max) = num_to_alloc; - } -} - -/** Setup the input buffer state to scan directly from a user-specified character buffer. - * @param base the character buffer - * @param size the size in bytes of the character buffer - * - * @return the newly allocated buffer state object. - */ -YY_BUFFER_STATE yy_scan_buffer (char * base, yy_size_t size ) -{ - YY_BUFFER_STATE b; - - if ( size < 2 || - base[size-2] != YY_END_OF_BUFFER_CHAR || - base[size-1] != YY_END_OF_BUFFER_CHAR ) - /* They forgot to leave room for the EOB's. */ - return NULL; - - b = (YY_BUFFER_STATE) yyalloc(sizeof( struct yy_buffer_state ) ); - if ( ! b ) - YY_FATAL_ERROR( "out of dynamic memory in yy_scan_buffer()" ); - - b->yy_buf_size = (int) (size - 2); /* "- 2" to take care of EOB's */ - b->yy_buf_pos = b->yy_ch_buf = base; - b->yy_is_our_buffer = 0; - b->yy_input_file = NULL; - b->yy_n_chars = b->yy_buf_size; - b->yy_is_interactive = 0; - b->yy_at_bol = 1; - b->yy_fill_buffer = 0; - b->yy_buffer_status = YY_BUFFER_NEW; - - yy_switch_to_buffer(b ); - - return b; -} - -/** Setup the input buffer state to scan a string. The next call to yylex() will - * scan from a @e copy of @a str. - * @param yystr a NUL-terminated string to scan - * - * @return the newly allocated buffer state object. - * @note If you want to scan bytes that may contain NUL values, then use - * yy_scan_bytes() instead. - */ -YY_BUFFER_STATE yy_scan_string (yyconst char * yystr ) -{ - - return yy_scan_bytes(yystr,(int) strlen(yystr) ); -} - -/** Setup the input buffer state to scan the given bytes. The next call to yylex() will - * scan from a @e copy of @a bytes. - * @param yybytes the byte buffer to scan - * @param _yybytes_len the number of bytes in the buffer pointed to by @a bytes. - * - * @return the newly allocated buffer state object. - */ -YY_BUFFER_STATE yy_scan_bytes (yyconst char * yybytes, int _yybytes_len ) -{ - YY_BUFFER_STATE b; - char *buf; - yy_size_t n; - int i; - - /* Get memory for full buffer, including space for trailing EOB's. */ - n = (yy_size_t) (_yybytes_len + 2); - buf = (char *) yyalloc(n ); - if ( ! buf ) - YY_FATAL_ERROR( "out of dynamic memory in yy_scan_bytes()" ); - - for ( i = 0; i < _yybytes_len; ++i ) - buf[i] = yybytes[i]; - - buf[_yybytes_len] = buf[_yybytes_len+1] = YY_END_OF_BUFFER_CHAR; - - b = yy_scan_buffer(buf,n ); - if ( ! b ) - YY_FATAL_ERROR( "bad buffer in yy_scan_bytes()" ); - - /* It's okay to grow etc. this buffer, and we should throw it - * away when we're done. - */ - b->yy_is_our_buffer = 1; - - return b; -} - -#ifndef YY_EXIT_FAILURE -#define YY_EXIT_FAILURE 2 -#endif - -static void yynoreturn yy_fatal_error (yyconst char* msg ) -{ - (void) fprintf( stderr, "%s\n", msg ); - exit( YY_EXIT_FAILURE ); -} - -/* Redefine yyless() so it works in section 3 code. */ - -#undef yyless -#define yyless(n) \ - do \ - { \ - /* Undo effects of setting up yytext. */ \ - yy_size_t yyless_macro_arg = (n); \ - YY_LESS_LINENO(yyless_macro_arg);\ - yytext[yyleng] = (yy_hold_char); \ - (yy_c_buf_p) = yytext + yyless_macro_arg; \ - (yy_hold_char) = *(yy_c_buf_p); \ - *(yy_c_buf_p) = '\0'; \ - yyleng = yyless_macro_arg; \ - } \ - while ( 0 ) - -/* Accessor methods (get/set functions) to struct members. */ - -/** Get the current line number. - * - */ -int yyget_lineno (void) -{ - - return yylineno; -} - -/** Get the input stream. - * - */ -FILE *yyget_in (void) -{ - return yyin; -} - -/** Get the output stream. - * - */ -FILE *yyget_out (void) -{ - return yyout; -} - -/** Get the length of the current token. - * - */ -int yyget_leng (void) -{ - return yyleng; -} - -/** Get the current token. - * - */ - -char *yyget_text (void) -{ - return yytext; -} - -/** Set the current line number. - * @param _line_number line number - * - */ -void yyset_lineno (int _line_number ) -{ - - yylineno = _line_number; -} - -/** Set the input stream. This does not discard the current - * input buffer. - * @param _in_str A readable stream. - * - * @see yy_switch_to_buffer - */ -void yyset_in (FILE * _in_str ) -{ - yyin = _in_str ; -} - -void yyset_out (FILE * _out_str ) -{ - yyout = _out_str ; -} - -int yyget_debug (void) -{ - return yy_flex_debug; -} - -void yyset_debug (int _bdebug ) -{ - yy_flex_debug = _bdebug ; -} - -static int yy_init_globals (void) -{ - /* Initialization is the same as for the non-reentrant scanner. - * This function is called from yylex_destroy(), so don't allocate here. - */ - - (yy_buffer_stack) = NULL; - (yy_buffer_stack_top) = 0; - (yy_buffer_stack_max) = 0; - (yy_c_buf_p) = NULL; - (yy_init) = 0; - (yy_start) = 0; - -/* Defined in main.c */ -#ifdef YY_STDINIT - yyin = stdin; - yyout = stdout; -#else - yyin = NULL; - yyout = NULL; -#endif - - /* For future reference: Set errno on error, since we are called by - * yylex_init() - */ - return 0; -} - -/* yylex_destroy is for both reentrant and non-reentrant scanners. */ -int yylex_destroy (void) -{ - - /* Pop the buffer stack, destroying each element. */ - while(YY_CURRENT_BUFFER){ - yy_delete_buffer(YY_CURRENT_BUFFER ); - YY_CURRENT_BUFFER_LVALUE = NULL; - yypop_buffer_state(); - } - - /* Destroy the stack itself. */ - yyfree((yy_buffer_stack) ); - (yy_buffer_stack) = NULL; - - /* Reset the globals. This is important in a non-reentrant scanner so the next time - * yylex() is called, initialization will occur. */ - yy_init_globals( ); - - return 0; -} - -/* - * Internal utility routines. - */ - -#ifndef yytext_ptr -static void yy_flex_strncpy (char* s1, yyconst char * s2, int n ) -{ - - int i; - for ( i = 0; i < n; ++i ) - s1[i] = s2[i]; -} -#endif - -#ifdef YY_NEED_STRLEN -static int yy_flex_strlen (yyconst char * s ) -{ - int n; - for ( n = 0; s[n]; ++n ) - ; - - return n; -} -#endif - -void *yyalloc (yy_size_t size ) -{ - return malloc(size); -} - -void *yyrealloc (void * ptr, yy_size_t size ) -{ - - /* The cast to (char *) in the following accommodates both - * implementations that use char* generic pointers, and those - * that use void* generic pointers. It works with the latter - * because both ANSI C and C++ allow castless assignment from - * any pointer type to void*, and deal with argument conversions - * as though doing an assignment. - */ - return realloc(ptr, size); -} - -void yyfree (void * ptr ) -{ - free( (char *) ptr ); /* see yyrealloc() for (char *) cast */ -} - -#define YYTABLES_NAME "yytables" - -#line 562 "lex_conf.l" - - -int yywrap () -{ - return 1; -} - -char *charFilter(char *string) -{ - while(*string && !(isdigit(*string) || *string=='-')) string++; - return string; -} - -void parseConfig(char *configFile) -{ - int i; - - yyin = fopen( configFile, "r" ); - yylex(); -} - diff --git a/comparison_algs_src/BioHEL/lex_conf.h b/comparison_algs_src/BioHEL/lex_conf.h deleted file mode 100644 index f5a2160..0000000 --- a/comparison_algs_src/BioHEL/lex_conf.h +++ /dev/null @@ -1,6 +0,0 @@ -#ifndef _LEX_CONF_H_ -#define _LEX_CONF_H_ - -void parseConfig(char *configFile); - -#endif diff --git a/comparison_algs_src/BioHEL/lex_conf.l b/comparison_algs_src/BioHEL/lex_conf.l deleted file mode 100644 index c5bfc6f..0000000 --- a/comparison_algs_src/BioHEL/lex_conf.l +++ /dev/null @@ -1,580 +0,0 @@ -%{ -#include -#include -#include - -#include "configManagement.h" -#include "attributesInfo.h" -#include "random.h" -#include "messageBuffer.h" - -char *charFilter(char *string); -extern configManagement cm; -extern attributesInfo ai; -extern Random rnd; -extern messageBuffer mb; - - -%} - -DIGIT [0-9] -LETTER [A-Z] - -%% - -"NUM ATTRIBUTES "{DIGIT}+ { -/* int atributs=atoi(charFilter(yytext)); - ai.setNumAttributes(atributs); - mb.printf("Number of attributes in domain:%d\n" - ,atoi(charFilter(yytext)));*/ -} - -"PROB CROSSOVER "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_CROSSOVER); - mb.printf("Crossover probability: %f\n",atof(charFilter(yytext))); -} - -"POP SIZE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),POP_SIZE); - mb.printf("Popsize: %f\n",atof(charFilter(yytext))); -} - -"ITERATIONS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),ITERATIONS); - mb.printf("GA Iterations:%f\n",atof(charFilter(yytext))); -} - -"INITIALIZATION MIN CLASSIFIERS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MIN_CLASSIFIERS); - mb.printf("Minumum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} -"INITIALIZATION MAX CLASSIFIERS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MAX_CLASSIFIERS); - mb.printf("Maximum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} - -"IGNORE MISSING VALUES" { - cm.setParameter(1,IGNORE_MISSING_VALUES); - mb.printf("Ignore missing values\n"); -} - -"DUMP EVOLUTION STATS" { - cm.setParameter(1,DUMP_EVOLUTION_STATS); - mb.printf("Dump learning process statistics at each iteration\n"); -} - -"SELECTION ALGORITHM "{LETTER}+ { - if(!strcasecmp(yytext+20,"TOURNAMENT")) { - cm.setParameter(TOURNAMENT_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection Algorithm\n"); - } else if(!strcasecmp(yytext+20,"TOURNAMENTWOR")) { - cm.setParameter(TOURNAMENT_WOR_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection without replacement Algorithm\n"); - } else if(!strcasecmp(yytext+20,"PARETO")) { - cm.setParameter(PARETO_SELECTION,SELECTION_ALGORITHM); - mb.printf("Pareto Selection Algorithm\n"); - } else { - mb.printf("Unknown selection algorithm:%s\n",yytext); - exit(1); - } -} - -"TOURNAMENT SIZE "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),TOURNAMENT_SIZE); - mb.printf("Tournament size:%f\n",atof(charFilter(yytext))); -} - -"SHOW FRONTS" { - cm.setParameter(1,SHOW_FRONTS); - mb.printf("Show Pareto Fronts\n"); -} - -"CROSSOVER OPERATOR "[a-zA-Z0-9]+ { - if(!strcasecmp(&yytext[19],"1PX")) { - cm.setParameter(CROSS_1P,CROSSOVER_OPERATOR); - mb.printf("One Point Crossover\n"); - } else if(!strcasecmp(&yytext[19],"2PX")) { - cm.setParameter(CROSS_2P,CROSSOVER_OPERATOR); - mb.printf("Two Points Crossover\n"); - } else if(!strcasecmp(&yytext[19],"INFORMED")) { - cm.setParameter(CROSS_INFORMED,CROSSOVER_OPERATOR); - mb.printf("Informed Crossover\n"); - } else { - mb.printf("Unknown crossover operator:%s\n",yytext); - exit(1); - } -} - -"FITNESS FUNCTION "{LETTER}+ { - if(!strcasecmp(yytext+17,"ACCURACY")) { - cm.setParameter(MAXIMIZE,MAX_MIN); - cm.setParameter(ACCURACY,FITNESS_FUNCTION); - mb.printf("Squared accuracy fitness function\n"); - } else if(!strcasecmp(yytext+17,"MDL")) { - cm.setParameter(MINIMIZE,MAX_MIN); - cm.setParameter(MDL,FITNESS_FUNCTION); - mb.printf("MDL fitness function\n"); - } else { - mb.printf("Unknown fitness function:%s\n",yytext); - exit(1); - } -} - -"MDL FIXED WEIGHT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT); - mb.printf("MDL fixed weight %f\n" ,atof(charFilter(yytext))); -} - - -"MDL WEIGHT RELAX FACTOR "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT_RELAX_FACTOR); - mb.printf("MDL Weight relax factor %f\n" ,atof(charFilter(yytext))); -} - -"MDL INITIAL TL RATIO "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),MDL_INITIAL_TL_RATIO); - mb.printf("Initial theory length proportion in MDL formula: %f\n" ,atof(charFilter(yytext))); -} - -"MDL ITERATION "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),MDL_ITERATION); - mb.printf("Iteracio activacio MDL %d\n",atoi(charFilter(yytext))); -} - -"PRUNING ITERATION "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),PRUNING_ITERATION); - mb.printf("Pruning operator activated at iteration:%f\n",atof(charFilter(yytext))); -} - -"PRUNING MIN CLASSIFIERS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),PRUNING_MIN_CLASSIFIERS); - mb.printf("Pruning stops if #classifiers is less that %f\n",atof(charFilter(yytext))); -} - -"PRUNING AUTO THRESHOLD" { - cm.setParameter(1,PRUNING_AUTO_THRESHOLD); - mb.printf("The number of min classifiers is automatically set\n"); -} -"PRUNING AUTO THRESHOLD2" { - cm.setParameter(1,PRUNING_AUTO_THRESHOLD2); - mb.printf("The number of min classifiers is automatically set2\n"); -} - -"PRUNING AUTO OFFSET "-?{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),PRUNING_AUTO_OFFSET); - mb.printf("The min classifiers offset %d\n",atoi(charFilter(yytext))); -} - -"PROB INDIVIDUAL MUTATION "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_INDIVIDUAL_MUTATION); - mb.printf("Individual-wise mutation probability:%f\n",atof(charFilter(yytext))); -} - -"HIERARCHICAL SELECTION ITERATION "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) ,HIERARCHICAL_SELECTION_ITERATION); - mb.printf("Hierarchical selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - -"HIERARCHICAL SELECTION THRESHOLD "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),HIERARCHICAL_SELECTION_THRESHOLD); - mb.printf("Hierarchical selection threshold :%f\n" - ,atof(charFilter(yytext))); -} - -"HIERARCHICAL SELECTION USES MDL THEORY LENGTH" { - cm.setParameter(1,HIERARCHICAL_SELECTION_USES_MDL); - mb.printf("Hierarchical selection uses MDL Theory Length\n"); -} - -"CHECK WINDOWING" { - cm.setParameter(1,CHECK_WINDOWING); - mb.printf("Performance tests of windowing enabled"); -} - -"WINDOWING ILAS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_ILAS); - mb.printf("ILAS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} -"WINDOWING GWS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_GWS); - mb.printf("GWS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} - -"PROB ONE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_ONE); - mb.printf("Probability of value ONE for GABIL and ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - -"PROB SHARP "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_SHARP); - mb.printf("Probability of value Sharp for LCS/Instances KR:%f\n" - ,atof(charFilter(yytext))); -} - -"KR ADI" { - cm.setParameter(1,KR_ADI); - mb.printf("Using Adaptive Discretization Intervals Knowledge Representation\n"); -} - -"PROB MERGE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_MERGE); - mb.printf("Probability of merge operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - -"PROB SPLIT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_SPLIT); - mb.printf("Probability of split operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - -"PROB REINITIALIZE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE); - mb.printf("Probability of reinitialize operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - -"PROB REINITIALIZE AT END "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE_AT_END); - mb.printf("Probability of reinitialize operator at final iteration in ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - -"MAX INTERVALS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),MAX_INTERVALS); - mb.printf("Maximum number of intervals per attribute in ADI KR:%d\n" - ,atoi(charFilter(yytext))); -} - -"KR HYPERRECT" { - cm.setParameter(1,KR_HYPERRECT); - mb.printf("Using HYPERRECT Knowledge Representation\n"); -} - -"KR LCS" { - cm.setParameter(1,KR_LCS); - mb.printf("Using LCS Knowledge Representation\n"); -} - -"KR INSTANCE SET" { - cm.setParameter(1,KR_INSTANCE_SET); - mb.printf("Using Instance Set/1-NN Knowledge Representation\n"); -} - -"ALPHA OF BLX "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,ALPHA_OF_BLX); - mb.printf("Using BLX crossover with alpha:%f\n" - ,atof(charFilter(yytext))); -} - -"D OF FR "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,D_OF_FR); - mb.printf("Using FR crossover with D:%f\n" ,atof(charFilter(yytext))); -} - -"N OF SBX "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,N_OF_SBX); - mb.printf("Using SBX crossover with N:%f\n" ,atof(charFilter(yytext))); -} - -"RANDOM SEED "{DIGIT}+ { - rnd.setSeed((unsigned long int)atof(charFilter(yytext))); - mb.printf("Random seed specified:%s\n",yytext+12); -} - -"PENALIZE INDIVIDUALS WITH LESS CLASSIFIERS THAN "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE); - mb.printf("Penalize the individuals that have a size less than %d\n" - ,atoi(charFilter(yytext))); -} - -"PENALIZE INDIVIDUALS WITH LESS CLASSIFIERS AT END THAN "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE_AT_END); - mb.printf("Penalize the individuals that have a size less than %d at end\n" - ,atoi(charFilter(yytext))); -} - -"PARETO SELECTION ITERATION "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) ,PARETO_SELECTION_ITERATION); - mb.printf("Pareto selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - - -"TOTAL TIME "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)) ,TOTAL_TIME); - mb.printf("Time spent on the learning process %d\n" - ,atoi(charFilter(yytext))); -} - -"DEFAULT CLASS "[A-Z0-9]+ { - if(!strcasecmp(yytext+14,"MAJOR")) { - cm.setParameter(MAJOR,DEFAULT_CLASS); - mb.printf("Majoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"MINOR")) { - cm.setParameter(MINOR,DEFAULT_CLASS); - mb.printf("Minoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"DISABLED")) { - cm.setParameter(DISABLED,DEFAULT_CLASS); - mb.printf("Default class disabled\n"); - } else if(!strcasecmp(yytext+14,"AUTO")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - mb.printf("Automatical determination of default class\n"); - } else if(!strcasecmp(yytext+14,"AUTO2")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - cm.setParameter(1,HARD_NICHING_DISABLE); - mb.printf("Automatical determination of default class with alternative niching disabling code\n"); - } else if(!strcasecmp(yytext+14,"FIXED")) { - cm.setParameter(FIXED,DEFAULT_CLASS); - mb.printf("Default class fixed\n"); - } else { - mb.printf("Unknown default class policy:%s\n",yytext); - exit(1); - } -} - -"FIXED DEFAULT CLASS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)) ,FIXED_DEFAULT_CLASS); - mb.printf("User fixed default class %d\n" - ,atoi(charFilter(yytext))); -} - -"SMART INIT" { - cm.setParameter(1 ,SMART_INIT); - mb.printf("Initialization uses examples to create the initial rules\n"); -} - -"CLASS WISE INIT" { - cm.setParameter(1 ,CLASS_WISE_INIT); - mb.printf("Instances used in initialization are sampled with uniform class distribution\n"); -} - -"CLASS WISE ACC" { - cm.setParameter(1 ,CLASS_WISE_ACC); - mb.printf("Training accuracy computation will be class-wise\n"); -} - - -"DUMP ACTIVATION" { - cm.setParameter(1 ,DUMP_ACTIVATION); - mb.printf("Dump average activation after initialization\n"); -} - - -"PRUNING METHOD "{LETTER}+ { - if(!strcasecmp(yytext+15,"FTB")) { - cm.setParameter(FTB,PRUNING_POLICY); - mb.printf("Rule pruning policy is front to back\n"); - } else if(!strcasecmp(yytext+15,"BTF")) { - cm.setParameter(BTF,PRUNING_POLICY); - mb.printf("Rule pruning policy is back to front\n"); - } else if(!strcasecmp(yytext+15,"RANDOM")) { - cm.setParameter(RANDOM,PRUNING_POLICY); - mb.printf("Rule pruning policy is random\n"); - } else { - mb.printf("Unknown pruning policy:%s\n",yytext); - exit(1); - } -} - - -"PROB SMART CROSSOVER "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_SMART_CROSSOVER); - mb.printf("Smart crossover probability: %f\n",atof(charFilter(yytext))); -} - -"NUM PARENTS SMART CROSSOVER "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),NUM_PARENTS_SMART_CROSSOVER); - mb.printf("Number of parents in smart crossover: %d\n",atoi(charFilter(yytext))); -} - - -"FILTER SMART CROSSOVER "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),FILTER_SMART_CROSSOVER); - mb.printf("Smart crossover filter threshold: %f\n",atof(charFilter(yytext))); -} - - -"ADD RULES SMART CROSSOVER" { - cm.setParameter(1,ADD_RULES_SMART_CROSSOVER); - mb.printf("Smart crossover adds new rules\n"); -} - -"REPETITIONS OF RULE ORDERING "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_ORDERING); - mb.printf("Number of repetitions of the rule ordering process in SmartX: %d\n",atoi(charFilter(yytext))); -} - -"ELITISM WITH SMART CROSSOVER" { - cm.setParameter(1,ELITISM_WITH_SMART_CROSSOVER); - mb.printf("Elitism stage will use smart crossover\n"); -} -"ELITISM LAST ITERATION WITH SMART CROSSOVER" { - cm.setParameter(1,ELITISM_LAST_ITERATION_WITH_SMART_CROSSOVER); - mb.printf("Last iteration of elitism stage will use smart crossover\n"); -} - - -"RULE CLEANING PROB "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),RULE_CLEANING_PROB); - mb.printf("Rule cleaning probability : %f\n",atof(charFilter(yytext))); -} - -"RULE GENERALIZING PROB "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),RULE_GENERALIZING_PROB); - mb.printf("Rule generalizing probability : %f\n",atof(charFilter(yytext))); -} - - -"DUMP GENOTYPE OF BEST INDIVIDUAL EVERY ITERATIONS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),DUMP_GENOTYPE_ITERATIONS); - mb.printf("Genotype of best individual is dumped every %d iterations\n",atoi(charFilter(yytext))); -} - -"BUFFERED OUTPUT" { - mb.enable(); -} - -"INFORMED CROSSOVER" { - mb.printf("Crossover will use informed cut points (cutPoints.dat)\n"); - cm.setParameter(1,INFORMED_CROSSOVER); -} - -"COVERAGE INIT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),COVERAGE_INIT); - mb.printf("Coverage ratio in initialization : %f\n",atof(charFilter(yytext))); -} - -"NUM EXPRESSED ATTRIBUTES INIT "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),EXPRESSED_ATT_INIT); - mb.printf("Number of expressed attributes in initialization : %f\n",atof(charFilter(yytext))); -} - - -"COVERAGE BREAKPOINT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),COVERAGE_BREAKPOINT); - mb.printf("Coverage breakpoint for MDL fitness : %f\n",atof(charFilter(yytext))); -} - -"COVERAGE RATIO "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),COVERAGE_RATIO); - mb.printf("Coverage ratio for MDL fitness : %f\n",atof(charFilter(yytext))); -} - - -"REPETITIONS OF RULE LEARNING "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_LEARNING); - mb.printf("Number of times we will try to learn a rule from the current training set: %d\n",atoi(charFilter(yytext))); -} - -"ROTATE HYPERRECTANGLES" { - mb.printf("Intervalar representation will use rotations\n"); - cm.setParameter(1,ROTATE_HYPERRECTANGLES); -} - -"RESTRICTED ROTATED ATTRIBUTES" { - mb.printf("Only a subset of attributes will be rotated (rotatedAttributes.dat)\n"); - cm.setParameter(1,RESTRICTED_ROTATED_ATTRIBUTES); -} - - -"PROB ZERO ANGLE INIT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_INIT); - mb.printf("Probability of setting an angle to 0 degrees in initialization: %f\n",atof(charFilter(yytext))); -} - -"PROB ZERO ANGLE MUT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_MUT); - mb.printf("Probability of setting an angle to 0 degrees in mutation: %f\n",atof(charFilter(yytext))); -} - -"HYPERRECTANGLE USES LIST OF ATTRIBUTES" { - mb.printf("Hyperrectangle attribute list knowledge representation\n"); - cm.setParameter(1,HYPERRECT_LIST); -} - -"PROB GENERALIZE LIST "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_GENERALIZE_LIST); - mb.printf("Probability of generalizing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} -"PROB SPECIALIZE LIST "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_SPECIALIZE_LIST); - mb.printf("Probability of specializing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} - -"USE COVERAGE BREAK HEURISTIC" { - mb.printf("Using the coverage breakpoint adjustment heuristic\n"); - cm.setParameter(1,COVERAGE_BREAK_HEURISTIC); -} - - -"ITERATIONS OF COV BREAK ADJUSTEMENT "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),ITERATIONS_COVADJ); - mb.printf("Number of iterations of the coverage break adjustement heuristic: %d\n",atoi(charFilter(yytext))); -} - -"POPULATIONS OF COV BREAK ADJUSTEMENT "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),POPULATIONS_COVADJ); - mb.printf("Number of populations used in the coverage break adjustement heuristic: %d\n",atoi(charFilter(yytext))); -} - -"EXPECTED NUMBER OF ATTRIBUTES "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),NUM_ATTS_K); - mb.printf("Expected number of attributes: %d\n",atoi(charFilter(yytext))); -} - -"DEVICE SELECTED "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),DEVICE_SELECTED); - mb.printf("Device selected through configuration: %f\n",atof(charFilter(yytext))); - -} - -"DEVICE MEMORY USED "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PERC_DEVICE_MEM); - mb.printf("Percentage of device memory used: %f\n",atof(charFilter(yytext))); - -} - -"CUDA ENABLED" { - mb.printf("CUDA Enabled fitness function activated\n"); - cm.setParameter(1,CUDA_ENABLED); -} - - - - - - -#.*$ /* eat up one-line comments */ - -[ \t\n]+ /* eat up whitespace */ - -. mb.printf( "Unrecognized character: %s\n", yytext ); - -%% -int yywrap () -{ - return 1; -} - -char *charFilter(char *string) -{ - while(*string && !(isdigit(*string) || *string=='-')) string++; - return string; -} - -void parseConfig(char *configFile) -{ - int i; - - yyin = fopen( configFile, "r" ); - yylex(); -} diff --git a/comparison_algs_src/BioHEL/llista.h b/comparison_algs_src/BioHEL/llista.h deleted file mode 100644 index 28a1192..0000000 --- a/comparison_algs_src/BioHEL/llista.h +++ /dev/null @@ -1,171 +0,0 @@ -#ifndef _LLISTA_CONTENIDOR_ - -#define _LLISTA_CONTENIDOR_ - -#include -#include - -template class node -{ - private: - X info; - int clau; - node *seg; - - public: - node(X _info,int _clau) {info=_info;clau=_clau; seg=NULL;} - node() {seg=NULL;} - int get_clau() {return clau;} - X get_element() {return info;} - void modifica_element(X _info) {info=_info;} - void set_successor(node *_seg) {seg=_seg;} - node *get_successor() {return seg;} -}; - -template class llista -{ - private: - node *primer; - public: - llista(); - ~llista(); - void inserir(X element,int clau); - void modificar(X element,int clau); - void borrar(int clau); - X consultar(int clau); - int hi_ha_param(int clau); -}; - - -template llista::llista() -{ - primer=new node; - - if(!primer) { - perror("llista:llista:out of memory"); - exit(1); - } -} - -template llista::~llista() -{ - node *tmp; - - while(primer!=NULL) { - tmp=primer; - primer=primer->get_successor(); - delete tmp; - } -} - - -template void llista::inserir(X element,int clau) -{ - node *tmp=new node(element,clau); - - if(tmp==NULL) { - perror("llista:inserir:out of memory"); - exit(1); - } - - tmp->set_successor(primer->get_successor()); - primer->set_successor(tmp); - -} - - -template void llista::modificar(X element,int clau) -{ - node *tmp; - int trobat=0; - - tmp=primer->get_successor(); - - while(!trobat && tmp!=NULL) { - if(clau==tmp->get_clau()) { - trobat=1; - tmp->modifica_element(element); - } - else tmp=tmp->get_successor(); - } - if(!trobat) { - inserir(element,clau); - } -} - -template void llista::borrar(int clau) -{ - node *ant,*act; - int trobat=0; - - ant=primer; - act=primer->get_successor(); - - while(!trobat && act!=NULL) { - if(clau==act->get_clau) { - trobat=1; - ant->set_successor(act->get_successor()); - delete act; - } - else { - ant=act; - act=act->get_successor(); - } - } - if(!trobat) { - fprintf(stderr,"llista:borrar:no trobat %d\n",clau); - exit(1); - } - -} - -template X llista::consultar(int clau) -{ - node *tmp; - int trobat=0; - X element; - - tmp=primer->get_successor(); - - while(!trobat && tmp!=NULL) { - if(clau==tmp->get_clau()) { - trobat=1; - element=tmp->get_element(); - } - else tmp=tmp->get_successor(); - } - if(!trobat) { -#ifndef _WINDOWS - fprintf(stderr,"llista:consultar:no trobat %d\n",clau); - exit(1); -#else - CString m_str; - m_str.Format("Llista:consultar:no trobat %d",clau); - AfxMessageBox(m_str); -#endif - } - return element; -} - - -template int llista::hi_ha_param(int clau) -{ -#define TRUE 1 -#define FALSE 0 - - node *tmp; - int trobat=FALSE; - - tmp=primer->get_successor(); - - while(!trobat && tmp!=NULL) { - if(clau==tmp->get_clau()) { - trobat=TRUE; - } - else tmp=tmp->get_successor(); - } - return trobat; -} - - -#endif diff --git a/comparison_algs_src/BioHEL/macros_sse.h b/comparison_algs_src/BioHEL/macros_sse.h deleted file mode 100644 index 4e9db0c..0000000 --- a/comparison_algs_src/BioHEL/macros_sse.h +++ /dev/null @@ -1,122 +0,0 @@ -#ifndef _MACROS_SSE_ -#define _MACROS_SSE_ - -/*typedef int __v2di __attribute__ ((mode (V2DI),aligned(8))); -typedef int __v4si __attribute__ ((mode (V4SI),aligned(8))); -typedef int __v16qi __attribute__ ((mode (V16QI),aligned(8))); -#define __m128i __v2di - -typedef float __v4sf __attribute__ ((__mode__(__V4SF__))); -typedef float __m128 __attribute__ ((__mode__(__V4SF__))); - -#define _MM_SHUFFLE(fp3,fp2,fp1,fp0) \ - (((fp3) << 6) | ((fp2) << 4) | ((fp1) << 2) | (fp0)) - -static __inline __m128 -_mm_load_ps (float const *__P) -{ - return (__m128) __builtin_ia32_loadaps (__P); -} - -static __inline __m128 -_mm_set1_ps (float __F) -{ - __v4sf __tmp = __builtin_ia32_loadss (&__F); - return (__m128) __builtin_ia32_shufps (__tmp, __tmp, _MM_SHUFFLE (0,0,0,0)); -} - -static __inline __m128 -_mm_set_ps1 (float __F) -{ - return _mm_set1_ps (__F); -} - -static __inline __m128 -_mm_sub_ps (__m128 __A, __m128 __B) -{ - return (__m128) __builtin_ia32_subps ((__v4sf)__A, (__v4sf)__B); -} - -static __inline void -_mm_store_ps (float *__P, __m128 __A) -{ - __builtin_ia32_storeaps (__P, (__v4sf)__A); -} - - - -static __inline __m128 -_mm_cmpgt_ps (__m128 __A, __m128 __B) -{ - return (__m128) __builtin_ia32_cmpgtps ((__v4sf)__A, (__v4sf)__B); -} - -static __inline __m128i -_mm_or_si128 (__m128i __A, __m128i __B) -{ - return (__m128i)__builtin_ia32_por128 ((__v2di)__A, (__v2di)__B); -} - -static __inline __m128 -_mm_andnot_ps (__m128 __A, __m128 __B) -{ - return __builtin_ia32_andnps (__A, __B); -} - -static __inline __m128i -_mm_andnot_si128 (__m128i __A, __m128i __B) -{ - return (__m128i)__builtin_ia32_pandn128 ((__v2di)__A, (__v2di)__B); -} - -static __inline __m128i -_mm_and_si128 (__m128i __A, __m128i __B) -{ - return (__m128i)__builtin_ia32_pand128 ((__v2di)__A, (__v2di)__B); -} - -static __inline int -_mm_movemask_epi8 (__m128i __A) -{ - return __builtin_ia32_pmovmskb128 ((__v16qi)__A); -} - -static __inline int -_mm_movemask_ps (__m128 __A) -{ - return __builtin_ia32_movmskps ((__v4sf)__A); -}*/ - -#define VEC_MATCH(vecFLB,fLB,vecFUB,fUB,vecINS,fIN,vecTmp,vecOne,vecRes) {\ - vecFLB = _mm_load_ps(fLB);\ - vecFUB = _mm_load_ps(fUB);\ - vecINS = _mm_load_ps(fIN);\ - \ - vecRes = (__m128i)_mm_cmpgt_ps(vecFUB,vecFLB);\ - vecTmp = _mm_or_si128(\ - (__m128i)_mm_cmpgt_ps(vecFLB,vecINS),\ - (__m128i)_mm_cmpgt_ps(vecINS,vecFUB)\ - );\ - vecRes = _mm_andnot_si128(_mm_and_si128(vecRes,vecTmp),vecOne);\ -} - -#define VEC_MATCH2(vecRule,Rule,vecIns,Ins,vecABS,vecRes) {\ - vecRule = _mm_load_ps(Rule);\ - vecIns = _mm_load_ps(Ins);\ - \ - vecIns = _mm_andnot_ps(vecABS,vecIns);\ - vecRes = _mm_cmpgt_ps(vecIns,vecRule);\ -} - - - -#define VEC_TRANS(vRule,rule,vIns,ins) {\ - vRule = _mm_load_ps(rule);\ - vIns = _mm_load_ps(ins);\ - vIns = _mm_sub_ps(vIns,vRule);\ - _mm_store_ps(ins,vIns);\ -} - - - -#endif diff --git a/comparison_algs_src/BioHEL/main.cpp b/comparison_algs_src/BioHEL/main.cpp deleted file mode 100644 index c03833a..0000000 --- a/comparison_algs_src/BioHEL/main.cpp +++ /dev/null @@ -1,238 +0,0 @@ -#include -#include -#include -#include -#include -#include -#include -#include - -#include "configManagement.h" -#include "populationWrapper.h" -#include "classifierFitness.h" -#include "random.h" -#include "instanceSet.h" -#include "timersManagement.h" -#include "attributesInfo.h" -#include "lex_conf.h" -#include "timeManagement.h" -#include "timerMDL.h" -#include "messageBuffer.h" -#include "classifier_aggregated.h" - -using namespace std; - -int stop = 0; -messageBuffer mb; -attributesInfo ai; -configManagement cm; -instanceSet *is; -timeManagement timeM; -Random rnd; -double percentageOfLearning = 0; -int lastIteration = 0; -int nodeRank; -int numTasks; - -extern timerMDL *tMDL; -float minAcc = 0.5; - -void handler(int sig) { - stop = 1; -} - - -#ifdef __CUDA_COMPILED__ - extern "C"void setDeviceCuda(); - -//extern "C" void copyInstancesToDeviceReal(instance ** instances, int numInstances); -// -//extern "C" void copyInstancesToDeviceMixed(instance ** instances, int * typeOfAttributes, -// int numInstances); -// -//extern "C" void copyInstancesToDeviceNominal(instance ** instances, int numInstances); -// -//extern "C" void freeAllInstanceMemory(); -// -//void copyInstancesM() { -// -// instance ** instances = is->getStratas(); -// -// if (ai.onlyRealValuedAttributes()) { -// copyInstancesToDeviceReal(instances, -// is->getNumInstances()); -// // } else if (ai.onlyNominalAttributes() && !cm.thereIsParameter(KR_HYPERRECT)) { -// // copyInstancesToDeviceNominal(instances, -// // is->getNumInstances()); -// } else { -// int * typesOfAttributes = ai.getTypeOfAttributes(); -// copyInstancesToDeviceMixed(instances, typesOfAttributes, -// is->getNumInstances()); -// } -//} -// -//void freeInstanceMemoryM() { -// freeAllInstanceMemory(); -//} -#endif - -classifier *runGA(timersManagement &timers) { - stop = 0; - lastIteration = 0; - percentageOfLearning = 0; - - populationWrapper pw((int) cm.getParameter(POP_SIZE)); - - timers.setPW(&pw); - signal(SIGINT, handler); - - double ave1, ave2; - pw.getAverageAccuracies(ave1, ave2); - mb.printf("Initial population average accuracy1:%f accuracy2:%f\n", ave1, - ave2); - int countIt = 0, numIterations = (int) cm.getParameter(ITERATIONS); - if (numIterations == 0) - stop = 1; - - for (; !stop;) { - timers.incIteration(lastIteration); - - if (is->newIteration(lastIteration)) { - pw.activateModifiedFlag(); - } - - pw.gaIteration(); - - timers.dumpStats(); - countIt++; - - if (countIt == numIterations) - stop = 1; - else if (countIt == numIterations - 1) - lastIteration = 1; - percentageOfLearning = (double) countIt / (double) (numIterations); - } - - if (stop && countIt < numIterations) - return NULL; - - classifier *ind = pw.getBestOverall(); - mb.printf("Best acc %f %f\n", ind->getAccuracy(), ind->getAccuracy2()); - classifier *clone = pw.cloneClassifier(ind, 0); - //clone->postprocess(); - //clone->fitnessComputation(); - clone->adjustFitness(); - //printf("Postprocessed acc %f %f\n",clone->getAccuracy(),clone->getAccuracy2()); - return clone; -} - -int main(int argc, char *argv[]) { - int rc; - - if (argc < 4) { - fprintf(stderr, "Incorrect parameters\n" - "%s: \n", - argv[0]); - exit(1); - } - - - - //if (argc>=6) mb.setFile(argv[5]); - - parseConfig(argv[1]); - - rnd.dumpSeed(); - is = new instanceSet(argv[2], TRAIN); - timersManagement timers; - - classifier_aggregated ruleSet; - int optimizationMethod = (int) cm.getParameter(MAX_MIN); - classifierFactory cf; - int countRepeat = 0; - - -#ifdef __CUDA_COMPILED__ - printf("Codigo cuda"); - setDeviceCuda(); - //copyInstancesM(); -#endif - -//#ifdef __CUDA_COMPILED__ -// //freeInstanceMemoryM(); -//#endif - - do { - int cancelled = 0; - classifier *best = NULL; - - //#ifdef __CUDA_COMPILED__ - // //copyInstances(); - //#endif - for (int i = 0; i < tGlobals->numRepetitionsLearning; i++) { - classifier *bestIt = runGA(timers); - if (!bestIt) { - cancelled = 1; - break; - } - - if (best == NULL || bestIt->compareToIndividual(best, - optimizationMethod) > 0) { - if (best) - cf.deleteClassifier(best); - best = bestIt; - } - - if (i < tGlobals->numRepetitionsLearning - 1) { - is->restart(); - timers.reinit(); - } - - } - //#ifdef __CUDA_COMPILED__ - // freeInstanceMemory(); - //#endif - if (cancelled) - break; - - - if (isMajority(*best)) { - char phenotype[2000000]; - best->dumpPhenotype(phenotype); - mb.printf("Rule:%s", phenotype); - is->removeInstancesAndRestart(best); - ruleSet.addClassifier(best); - classifierBriefTest(ruleSet, is); - countRepeat = 0; - timers.reinit(); - if (is->getNumInstances() == 0) - break; - } else { - countRepeat++; - cf.deleteClassifier(best); - if (countRepeat == 3) { - ruleSet.setDefaultRule(is); - break; - } else { - is->restart(); - timers.reinit(); - } - } - //#ifdef __CUDA_COMPILED__ - // copyInstances(); - //#endif - - } while (1); - - delete is; - - char phenotype[2000000]; - ruleSet.dumpPhenotype(phenotype); - mb.printf("Phenotype: \n%s\n", phenotype); - - - classifierStats(ruleSet, argv[2], "Train"); - classifierStats(ruleSet, argv[3], "Test"); - - return 0; -} diff --git a/comparison_algs_src/BioHEL/messageBuffer.h b/comparison_algs_src/BioHEL/messageBuffer.h deleted file mode 100644 index 1ceaf3f..0000000 --- a/comparison_algs_src/BioHEL/messageBuffer.h +++ /dev/null @@ -1,147 +0,0 @@ -#ifndef _MESSAGE_BUFFER_H_ -#define _MESSAGE_BUFFER_H_ - -#define GRANULARITY 500000 - -#include -#include -#include -#include -#include "JVector.h" - -class messageBuffer { - JVector < char *>buffer; - int currentSize; - int enabled; - int dumpToFile; - int ignoreMessage; - FILE *fp; - - public: - messageBuffer() { - char *temp = new char[GRANULARITY]; - temp[0] = 0; - buffer.addElement(temp); - currentSize = 0; - enabled = 0; - dumpToFile = 0; - ignoreMessage=0; - } - - ~messageBuffer() { - flushBuffer(); - delete buffer.elementAt(0); - buffer.removeAllElements(); - } - - void ignoreMessages() { - ignoreMessage=1; - } - void allowMessages() { - ignoreMessage=0; - } - - void setFile(char *fileName) { - fp = fopen(fileName, "w"); - if (!fp) { - fprintf(stderr, "Could not open log file\n"); - exit(1); - } - dumpToFile = 1; - } - - inline void flushBuffer() { - while (buffer.size() > 1) { - char *temp = buffer.elementAt(0); - if(dumpToFile) { - fprintf(fp,"%s",temp); - fflush(fp); - } else { - ::printf("%s", temp); - fflush(stdout); - } - delete temp; - buffer.removeElementAt(0); - } - char *temp = buffer.elementAt(0); - if(dumpToFile) { - fprintf(fp,"%s",temp); - fflush(fp); - } else { - ::printf("%s", temp); - fflush(stdout); - } - temp[0] = 0; - currentSize = 0; - } - - - inline void addMessage(char *message) { - if (!enabled) { - if(dumpToFile) { - fprintf(fp,"%s",message); - fflush(fp); - } else { - ::printf("%s", message); - fflush(stdout); - } - return; - } - - int length = strlen(message); - while (currentSize + length >= GRANULARITY) { - strncat(buffer.lastElement(), message, - GRANULARITY - currentSize - 1); - message += GRANULARITY - currentSize - 1; - length -= GRANULARITY - currentSize - 1; - char *temp = new char[GRANULARITY]; - temp[0] = 0; - buffer.addElement(temp); - currentSize = 0; - } - strcat(buffer.lastElement(), message); - currentSize += length; - } - - inline void printf(const char *fmt, ...) { - - if(ignoreMessage) return; - /* Guess we need no more than 100 bytes. */ - int n, size = 1000; - char *p; - va_list ap; - p = (char *) malloc(size); - while (1) { - va_start(ap, fmt); - n = vsnprintf(p, size, fmt, ap); - va_end(ap); - - if (n > -1 && n < size) { - addMessage(p); - free(p); - return; - } - - if (n < 0) { - perror("vsnprintf failed"); - exit(1); - } - size = n + 1; - p = (char *) realloc(p, size); - } - - } - - - - inline void enable() { - enabled = 1; - } - - inline void disable() { - flushBuffer(); - enabled = 0; - } -}; - -#endif diff --git a/comparison_algs_src/BioHEL/mt19937ar-cok.cpp b/comparison_algs_src/BioHEL/mt19937ar-cok.cpp deleted file mode 100644 index 1776d82..0000000 --- a/comparison_algs_src/BioHEL/mt19937ar-cok.cpp +++ /dev/null @@ -1,242 +0,0 @@ -/* - A C-program for MT19937, with initialization improved 2002/2/10. - Coded by Takuji Nishimura and Makoto Matsumoto. - This is a faster version by taking Shawn Cokus's optimization, - Matthe Bellew's simplification, Isaku Wada's real version. - - Before using, initialize the state by using init_genrand(seed) - or init_by_array(init_key, key_length). - - Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, - All rights reserved. - - Redistribution and use in source and binary forms, with or without - modification, are permitted provided that the following conditions - are met: - - 1. Redistributions of source code must retain the above copyright - notice, this list of conditions and the following disclaimer. - - 2. Redistributions in binary form must reproduce the above copyright - notice, this list of conditions and the following disclaimer in the - documentation and/or other materials provided with the distribution. - - 3. The names of its contributors may not be used to endorse or promote - products derived from this software without specific prior written - permission. - - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT - LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR - A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR - CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR - PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF - LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING - NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS - SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - - Any feedback is very welcome. - http://www.math.keio.ac.jp/matumoto/emt.html - email: matumoto@math.keio.ac.jp -*/ - -#include - -/* Period parameters */ -#define N 624 -#define M 397 -#define MATRIX_A 0x9908b0dfUL /* constant vector a */ -#define UMASK 0x80000000UL /* most significant w-r bits */ -#define LMASK 0x7fffffffUL /* least significant r bits */ -#define MIXBITS(u,v) ( ((u) & UMASK) | ((v) & LMASK) ) -#define TWIST(u,v) ((MIXBITS(u,v) >> 1) ^ ((v)&1UL ? MATRIX_A : 0UL)) - -static unsigned long state[N]; /* the array for the state vector */ -static int left = 1; -static int initf = 0; -static unsigned long *next; - -/* initializes state[N] with a seed */ -void init_genrand(unsigned long s) -{ - int j; - state[0]= s & 0xffffffffUL; - for (j=1; j> 30)) + j); - /* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */ - /* In the previous versions, MSBs of the seed affect */ - /* only MSBs of the array state[]. */ - /* 2002/01/09 modified by Makoto Matsumoto */ - state[j] &= 0xffffffffUL; /* for >32 bit machines */ - } - left = 1; initf = 1; -} - -/* initialize by an array with array-length */ -/* init_key is the array for initializing keys */ -/* key_length is its length */ -void init_by_array(unsigned long init_key[], unsigned long key_length) -{ - int i, j, k; - init_genrand(19650218UL); - i=1; j=0; - k = (N>key_length ? N : key_length); - for (; k; k--) { - state[i] = (state[i] ^ ((state[i-1] ^ (state[i-1] >> 30)) * 1664525UL)) - + init_key[j] + j; /* non linear */ - state[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */ - i++; j++; - if (i>=N) { state[0] = state[N-1]; i=1; } - if (j>=key_length) j=0; - } - for (k=N-1; k; k--) { - state[i] = (state[i] ^ ((state[i-1] ^ (state[i-1] >> 30)) * 1566083941UL)) - - i; /* non linear */ - state[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */ - i++; - if (i>=N) { state[0] = state[N-1]; i=1; } - } - - state[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */ - left = 1; initf = 1; -} - -static void next_state(void) -{ - unsigned long *p=state; - int j; - - /* if init_genrand() has not been called, */ - /* a default initial seed is used */ - if (initf==0) init_genrand(5489UL); - - left = N; - next = state; - - for (j=N-M+1; --j; p++) - *p = p[M] ^ TWIST(p[0], p[1]); - - for (j=M; --j; p++) - *p = p[M-N] ^ TWIST(p[0], p[1]); - - *p = p[M-N] ^ TWIST(p[0], state[0]); -} - -/* generates a random number on [0,0xffffffff]-interval */ -unsigned long genrand_int32(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return y; -} - -/* generates a random number on [0,0x7fffffff]-interval */ -long genrand_int31(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (long)(y>>1); -} - -/* generates a random number on [0,1]-real-interval */ -double genrand_real1(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (double)y * (1.0/4294967295.0); - /* divided by 2^32-1 */ -} - -/* generates a random number on [0,1)-real-interval */ -double genrand_real2(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (double)y * (1.0/4294967296.0); - /* divided by 2^32 */ -} - -/* generates a random number on (0,1)-real-interval */ -double genrand_real3(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return ((double)y + 0.5) * (1.0/4294967296.0); - /* divided by 2^32 */ -} - -/* generates a random number on [0,1) with 53-bit resolution*/ -double genrand_res53(void) -{ - unsigned long a=genrand_int32()>>5, b=genrand_int32()>>6; - return(a*67108864.0+b)*(1.0/9007199254740992.0); -} -/* These real versions are due to Isaku Wada, 2002/01/09 added */ - -/* -int main(void) -{ - int i; - unsigned long init[4]={0x123, 0x234, 0x345, 0x456}, length=4; - init_by_array(init, length); - printf("1000 outputs of genrand_int32()\n"); - for (i=0; i<1000; i++) { - printf("%10lu ", genrand_int32()); - if (i%5==4) printf("\n"); - } - printf("\n1000 outputs of genrand_real2()\n"); - for (i=0; i<1000; i++) { - printf("%10.8f ", genrand_real2()); - if (i%5==4) printf("\n"); - } - - return 0; -}*/ diff --git a/comparison_algs_src/BioHEL/mt19937ar-cok.h b/comparison_algs_src/BioHEL/mt19937ar-cok.h deleted file mode 100644 index e8397ab..0000000 --- a/comparison_algs_src/BioHEL/mt19937ar-cok.h +++ /dev/null @@ -1,14 +0,0 @@ -#ifndef _MT19937_H_ -#define _MT19937_H_ - -void init_genrand(unsigned long s); -void init_by_array(unsigned long init_key[], unsigned long key_length); -//static void next_state(void); -unsigned long genrand_int32(void); -long genrand_int31(void); -double genrand_real1(void); -double genrand_real2(void); -double genrand_real3(void); -double genrand_res53(void); - -#endif diff --git a/comparison_algs_src/BioHEL/mtwist.cpp b/comparison_algs_src/BioHEL/mtwist.cpp deleted file mode 100644 index dfa0982..0000000 --- a/comparison_algs_src/BioHEL/mtwist.cpp +++ /dev/null @@ -1,957 +0,0 @@ -/* - * C library functions for generating pseudorandom numbers using the - * Mersenne Twist algorithm. See M. Matsumoto and T. Nishimura, - * "Mersenne Twister: A 623-Dimensionally Equidistributed Uniform - * Pseudo-Random Number Generator", ACM Transactions on Modeling and - * Computer Simulation, Vol. 8, No. 1, January 1998, pp 3--30. - * - * The Web page on the Mersenne Twist algorithm is at: - * - * http://www.math.keio.ac.jp/~matumoto/emt.html - * - * These functions were written by Geoffrey H. Kuenning, Claremont, CA. - * - * IMPORTANT NOTE: the Makefile must define two machine-specific - * variables to get optimum features and performance: - * - * MT_NO_INLINE should be defined if the compiler doesn't support - * the "inline" keyword. - * MT_NO_LONGLONG should be defined if the compiler doesn't support a - * "long long" type for 64-bit integers - * MT_MACHINE_BITS must be either 32 or 64, reflecting the natural - * size of the processor registers. If undefined, it - * will default to 32. - * - * The first two variables above are defined in an inverted sense - * because I expect that most compilers will support inline and - * long-long. By inverting the sense, this common case will require - * no special compiler flags. - * - * IMPORTANT NOTE: this software assumes that the inherent width of a - * "long" is 32 bits. If you are running on a machine that uses - * 64-bit longs, some of the declarations and code will have to be - * modified. - * - * This software is based on LGPL-ed code by Takuji Nishimura. It has - * also been heavily influenced by code written by Shawn Cokus, and - * somewhat influenced by code written by Richard J. Wagner. It is - * therefore also distributed under the LGPL: - * - * This library is free software; you can redistribute it and/or - * modify it under the terms of the GNU Library General Public License - * as published by the Free Software Foundation; either version 2 of - * the License, or (at your option) any later version. - * - * This library is distributed in the hope that it will be useful, but - * WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - * Library General Public License for more details. You should have - * received a copy of the GNU Library General Public License along - * with this library; if not, write to the Free Foundation, Inc., 59 - * Temple Place, Suite 330, Boston, MA 02111-1307 USA - * - * $Log: mtwist.cpp,v $ - * Revision 1.2 2008/10/17 15:23:28 jaume - * Changes changes changes..... - * - * Revision 1.1.1.1 2007/03/05 16:39:24 jaume - * initial import in ductsoup - * - * Revision 1.1.1.1 2006/06/22 09:59:11 jbacardit - * Initial import - * - * - * Revision 1.19 2003/09/11 05:55:19 geoff - * Get rid of some minor compiler warnings. - * - * Revision 1.18 2003/09/11 05:50:53 geoff - * Don't #define inline to nothing, since that breaks standard include - * files. Instead, use MT_INLINE as a synonym. - * - * Revision 1.17 2002/10/31 22:07:10 geoff - * Make WIN32 detection work with GCC as well as MS C - * - * Revision 1.16 2002/10/31 22:04:59 geoff - * Fix a typo in the WIN32 option - * - * Revision 1.15 2002/10/31 06:01:43 geoff - * Incorporate Joseph Brill's Windows-portability changes - * - * Revision 1.14 2002/10/30 07:39:53 geoff - * Reintroduce the old seeding functions (so that old code will still - * produce the same results), and give the new versions new names. - * - * Revision 1.13 2002/10/30 01:08:26 geoff - * Switch to M&T's new initialization method - * - * Revision 1.12 2001/06/18 05:40:12 geoff - * Prefix the compile options with MT_. - * - * Revision 1.11 2001/06/14 10:26:59 geoff - * Invert the sense of the #define flags so that the default is the - * normal case (if gcc is normal!). Also default MT_MACHINE_BITS to 32. - * - * Revision 1.10 2001/06/14 10:10:38 geoff - * Move the RNG functions into the header file so they can be inlined. - * Add saving/loading of state. Add a function that marks the PRNG as - * initialized while also calculating critical constants. Run the - * refresh routine whenever seed32 is called. Add functions to seed - * based on /dev/random or the time. - * - * Revision 1.9 2001/06/11 10:00:04 geoff - * Major changes to improve flexibility and performance, and to prepare - * for inlining. This code is about as fast as it can get without - * inlining the various PRNG functions. Add seed/goodseed/bestseed for - * seeding from random start values. Add the refresh routine a la Cokus, - * but optimize it by unrolling loops. Change getstate to return a - * complete state pointer, since knowing the position in the state vector - * is critical to restoring state. Add more macros to improve - * readability. Rename certain macros in preparation for inlining. Get - * rid of leftover optimizer-bug stuff. Stop using mtwist_guts.h; - * instead use direct code (via macros) and the refresh function. - * - * Revision 1.8 2001/04/23 08:36:03 geoff - * Move the #defined code into a header file to ease stepping with a debugger. - * - * Revision 1.7 2001/04/23 08:00:13 geoff - * Add code to work around optimizer bug - * - * Revision 1.6 2001/04/14 01:33:32 geoff - * Clarify the license - * - * Revision 1.5 2001/04/09 08:45:00 geoff - * Rename default_state to mt_default_state, and make it global so that - * the random-distribution code can use it. - * - * Revision 1.4 2001/04/07 23:24:11 geoff - * My guess in the commentary for the last delta was right: it's faster - * on a x86 to convert the two halves of the PRN to double, multiplying - * them by the appropriate value to scale them, and then add them as - * doubles. I suspect the reason is that there is no instruction to - * convert a 64-bit value directly to a double, so the work of building - * the long long (which isn't easy anyway, without assembly access) is - * worse than wasted. So add support for MT_MACHINE_BITS, and only go - * the via-long-long route on a true 64-bit machine. - * - * Revision 1.3 2001/04/07 23:09:38 geoff - * Get rid of MT_INLINE. Convert all of the code to use preprocessor - * macros for the guts of the PRNG code. Take advantage of the - * conversion to get rid of unnecessary calls initialization tests. Also - * clean up the generation of long-double pseudorandom numbers on - * machines that have the long long type (by converting first to a long - * long, then to a double, saving one floating-point operation). The - * latter change might be a mistake on 32-bit machines. The code is now - * much faster as a result of macro-izing. - * - * Revision 1.2 2001/04/07 22:21:41 geoff - * Make the long-double code a hair faster by always having a 64-bit - * conversion constant. Add commentary to the PRNG loop. - * - * Revision 1.1 2001/04/07 09:43:41 geoff - * Initial revision - * - */ - -#ifdef _WIN32 -#undef WIN32 -#define WIN32 -#endif /* _WIN32 */ - -#include -#include -#ifdef WIN32 -#include -#else /* WIN32 */ -#include -#endif /* WIN32 */ - -/* - * Before we include the Mersenne Twist header file, we must do a bit - * of magic setup. The code for actual random-number generation - * resides in that file rather than here. We need to arrange for the - * code to be compiled into this .o file, either because inlines - * aren't supported or because somebody might want to take a pointer - * to a function. We do so with a couple of careful #defines. - */ -#undef MT_NO_INLINE /* Ask for code to be compiled */ -#define MT_INLINE /* Disable the inline keyword */ -#define MT_EXTERN /* Generate real code for functions */ - -#include "mtwist.h" - -/* - * Table of contents: - */ -void mts_mark_initialized(mt_state* state); - /* Mark a PRNG state as initialized */ -void mts_seed32(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -void mts_seed32new(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -void mts_seedfull(mt_state* state, - unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for any gen. */ -void mts_seed(mt_state* state); - /* Choose seed from random input */ -void mts_goodseed(mt_state* state); - /* Choose seed from more random */ - /* ..input than mts_seed */ -static void mts_devseed(mt_state* state, const char* seed_dev); - /* Choose seed from a device */ -void mts_bestseed(mt_state* state); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow) */ -void mts_refresh(mt_state* state); - /* Generate 624 more random values */ -int mts_savestate(FILE* statefile, mt_state* state); - /* Save state to a file (ASCII) */ -int mts_loadstate(FILE* statefile, mt_state* state); - /* Load state from a file (ASCII) */ - -void mt_seed32(unsigned long seed); - /* Set random seed for default gen. */ -void mt_seed32new(unsigned long seed); - /* Set random seed for default gen. */ -void mt_seedfull(unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for default */ -void mt_seed(void); /* Choose seed from random input */ -void mt_goodseed(void); - /* Choose seed from more random */ - /* ..input than mts_seed */ -void mt_bestseed(void); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow) */ -extern mt_state* mt_getstate(void); - /* Get current state of default */ - /* ..generator */ -int mt_savestate(FILE* statefile); - /* Save state to a file (ASCII) */ -int mt_loadstate(FILE* statefile); - /* Load state from a file (ASCII) */ - - -/* - * The following values are fundamental parameters of the algorithm. - * With the exception of the two masks, all of them were found - * experimentally using methods described in Matsumoto and Nishimura's - * paper. They are exceedingly magic; don't change them. - */ - -/* MT_STATE_SIZE is defined in the header file. */ -#define RECURRENCE_OFFSET 397 /* Offset into state space for the */ - /* ..recurrence relation. The */ - /* ..recurrence mashes together two */ - /* ..values that are separated by */ - /* ..this offset in the state */ - /* ..space. */ -#define MATRIX_A 0x9908b0df /* Constant vector A for the */ - /* ..recurrence relation. The */ - /* ..mashed-together value is */ - /* ..multiplied by this vector to */ - /* ..get a new value that will be */ - /* ..stored into the state space. */ - -/* - * Width of a long. Don't change this even if your longs are 64 bits. - */ -#define BIT_WIDTH 32 /* Work with 32-bit words */ - -/* - * Masks for extracting the bits to be mashed together. The widths of these - * masks are also fundamental parameters of the algorithm, determined - * experimentally -- but of course the masks themselves are simply bit - * selectors. - */ -#define UPPER_MASK 0x80000000 /* Most significant w-r bits */ -#define LOWER_MASK 0x7fffffff /* Least significant r bits */ - -/* - * Macro to simplify code in the generation loop. This function - * combines the top bit of x with the bottom 31 bits of y. - */ -#define COMBINE_BITS(x, y) \ - (((x) & UPPER_MASK) | ((y) & LOWER_MASK)) - -/* - * Another generation-simplification macro. This one does the magic - * scrambling function. - */ -#define MATRIX_MULTIPLY(original, new) \ - ((original) ^ ((new) >> 1) \ - ^ matrix_decider[(new) & 0x1]) - -/* - * Parameters of Knuth's PRNG (Line 25, Table 1, p. 102 of "The Art of - * Computer Programming, Vol. 2, 2nd ed, 1981). - */ -#define KNUTH_MULTIPLIER_OLD \ - 69069 - -/* - * Parameters of Knuth's PRNG (p. 106 of "The Art of Computer - * Programming, Vol. 2, 3rd ed). - */ -#define KNUTH_MULTIPLIER_NEW \ - 1812433253ul -#define KNUTH_SHIFT 30 // Even on a 64-bit machine! - -/* - * Default 32-bit random seed if mts_seed32 wasn't called - */ -#define DEFAULT_SEED32_OLD \ - 4357 -#define DEFAULT_SEED32_NEW \ - 5489ul - -/* - * Where to get random numbers - */ -#define DEVRANDOM "/dev/random" -#define DEVURANDOM "/dev/urandom" - -/* - * Many applications need only a single PRNG, so it's a nuisance to have to - * specify a state. For those applications, we will provide a default - * state, and functions to use it. - */ -mt_state mt_default_state; - -/* - * To generate double-precision random numbers, we need to divide the result - * of mts_lrand or mts_llrand by 2^32 or 2^64, respectively. The quickest - * way to do that on most machines is to multiply by the inverses of those - * numbers. However, I don't trust the compiler to correctly convert the - * corresponding decimal constant. So we will compute the correct number at - * run time as part of initialization, which will produce a nice exact - * result. - */ -double mt_32_to_double; - /* Multiplier to convert long to dbl */ -double mt_64_to_double; - /* Mult'r to cvt long long to dbl */ - -/* - * In the recurrence relation, the new value is XORed with MATRIX_A only if - * the lower bit is nonzero. Since most modern machines don't like to - * branch, it's vastly faster to handle this decision by indexing into an - * array. The chosen bit is used as an index into the following vector, - * which produces either zero or MATRIX_A and thus the desired effect. - */ -static unsigned long matrix_decider[2] = - {0x0, MATRIX_A}; - -/* - * Mark a PRNG's state as having been initialized. This is the only - * way to set that field nonzero; that way we can be sure that the - * constants are set properly before the PRNG is used. - * - * As a side effect, set up some constants that the PRNG assumes are - * valid. These are calculated at initialization time rather than - * being written as decimal constants because I frankly don't trust - * the compiler's ASCII conversion routines. - */ -void mts_mark_initialized( - mt_state* state) /* State vector to mark initialized */ - { - int i; /* Power of 2 being calculated */ - - /* - * Figure out the proper multiplier for long-to-double conversion. We - * don't worry too much about efficiency, since the assumption is that - * initialization is vastly rarer than generation of random numbers. - */ - mt_32_to_double = 1.0; - for (i = 0; i < BIT_WIDTH; i++) - mt_32_to_double /= 2.0; - mt_64_to_double = mt_32_to_double; - for (i = 0; i < BIT_WIDTH; i++) - mt_64_to_double /= 2.0; - - state->initialized = 1; - } - -/* - * Initialize a Mersenne Twist PRNG from a 32-bit seed. - * - * According to Matsumoto and Nishimura's paper, the seed array needs to be - * filled with nonzero values. (My own interpretation is that there needs - * to be at least one nonzero value). They suggest using Knuth's PRNG from - * Line 25, Table 1, p.102, "The Art of Computer Programming," Vol. 2 (2nd - * ed.), 1981. I find that rather odd, since that particular PRNG is - * sensitive to having an initial seed of zero (there are many other PRNGs - * out there that have an additive component, so that a seed of zero does - * not generate a repeating-zero sequence). However, one thing I learned - * from reading Knuth is that you shouldn't second-guess mathematicians - * about PRNGs. Also, by following M & N's approach, we will be compatible - * with other implementations. So I'm going to stick with their version, - * with the single addition that a zero seed will be changed to their - * default seed. - */ -void mts_seed32( - mt_state* state, /* State vector to initialize */ - unsigned long seed) /* 32-bit seed to start from */ - { - int i; /* Loop index */ - - if (seed == 0) - seed = DEFAULT_SEED32_OLD; - - /* - * Fill the state vector using Knuth's PRNG. Be sure to mask down - * to 32 bits in case we're running on a machine with 64-bit - * longs. - */ - state->statevec[MT_STATE_SIZE - 1] = seed & 0xffffffff; - for (i = MT_STATE_SIZE - 2; i >= 0; i--) - state->statevec[i] = - (KNUTH_MULTIPLIER_OLD * state->statevec[i + 1]) & 0xffffffff; - - state->stateptr = MT_STATE_SIZE; - mts_mark_initialized(state); - - /* - * Matsumoto and Nishimura's implementation refreshes the PRNG - * immediately after running the Knuth algorithm. This is - * probably a good thing, since Knuth's PRNG doesn't generate very - * good numbers. - */ - mts_refresh(state); - } - -/* - * Initialize a Mersenne Twist PRNG from a 32-bit seed, using - * Matsumoto and Nishimura's newer reference implementation (Jan. 9, - * 2002). - */ -void mts_seed32new( - mt_state* state, /* State vector to initialize */ - unsigned long seed) /* 32-bit seed to start from */ - { - int i; /* Loop index */ - unsigned long nextval; /* Next value being calculated */ - - /* - * Fill the state vector using Knuth's PRNG. Be sure to mask down - * to 32 bits in case we're running on a machine with 64-bit - * longs. - */ - state->statevec[MT_STATE_SIZE - 1] = seed & 0xffffffffUL; - for (i = MT_STATE_SIZE - 2; i >= 0; i--) - { - nextval = state->statevec[i + 1] >> KNUTH_SHIFT; - nextval ^= state->statevec[i + 1]; - nextval *= KNUTH_MULTIPLIER_NEW; - nextval += (MT_STATE_SIZE - 1) - i; - state->statevec[i] = nextval & 0xffffffffUL; - } - - state->stateptr = MT_STATE_SIZE; - mts_mark_initialized(state); - - /* - * Matsumoto and Nishimura's implementation refreshes the PRNG - * immediately after running the Knuth algorithm. This is - * probably a good thing, since Knuth's PRNG doesn't generate very - * good numbers. - */ - mts_refresh(state); - } - -/* - * Initialize a Mersenne Twist RNG from a 624-long seed. - * - * The 32-bit seeding routine given by Matsumoto and Nishimura has the - * drawback that there are only 2^32 different PRNG sequences that can be - * generated by calling that function. This function solves that problem by - * allowing a full 624*32-bit state to be given. (Note that 31 bits of the - * given state are ignored; see the paper for details.) - * - * Since an all-zero state would cause the PRNG to cycle, we detect - * that case and abort the program (silently, since there is no - * portable way to produce a message in both C and C++ environments). - * An alternative would be to artificially force the state to some - * known nonzero value. However, I feel that if the user is providing - * a full state, it's a bug to provide all zeros and we we shouldn't - * conceal the bug by generating apparently correct output. - */ -void mts_seedfull( - mt_state* state, /* State vector to initialize */ - unsigned long seeds[MT_STATE_SIZE]) - /* Seed array to start from */ - { - int had_nz = 0; /* NZ if at least one NZ seen */ - int i; /* Loop index */ - - for (i = 0; i < MT_STATE_SIZE; i++) - { - if (seeds[i] != 0) - had_nz = 1; - state->statevec[MT_STATE_SIZE - i - 1] = seeds[i]; - } - - if (!had_nz) - { - /* - * It would be nice to abort with a message. Unfortunately, fprintf - * isn't compatible with all implementations of C++. In the - * interest of C++ compatibility, therefore, we will simply abort - * silently. It will unfortunately be up to a programmer to run - * under a debugger (or examine the core dump) to discover the cause - * of the abort. - */ - abort(); - } - - state->stateptr = MT_STATE_SIZE; - mts_mark_initialized(state); - } - -/* - * Choose a seed based on some moderately random input. Prefers - * /dev/urandom as a source of random numbers, but uses the lower bits - * of the current time if /dev/urandom is not available. In any case, - * only provides 32 bits of entropy. - */ -void mts_seed( - mt_state* state) /* State vector to seed */ - { - mts_devseed(state, DEVURANDOM); - } - -/* - * Choose a seed based on some fairly random input. Prefers - * /dev/random as a source of random numbers, but uses the lower bits - * of the current time if /dev/random is not available. In any case, - * only provides 32 bits of entropy. - */ -void mts_goodseed( - mt_state* state) /* State vector to seed */ - { - mts_devseed(state, DEVRANDOM); - } - -/* - * Choose a seed based on a random-number device given by the caller. - * If that device can't be opened, use the lower 32 bits from the - * current time. - */ -static void mts_devseed( - mt_state* state, /* State vector to seed */ - const char* seed_dev) /* Device to seed from */ - { - int bytesread; /* Byte count read from device */ - int nextbyte; /* Index of next byte to read */ - FILE* ranfile; /* Access to device */ - union - { - char ranbuffer[sizeof (unsigned long)]; - /* Space for reading random int */ - unsigned long randomvalue; /* Random value for initialization */ - } - randomunion; /* Union for reading random int */ -#ifdef WIN32 - struct _timeb tb; /* Time of day (Windows mode) */ -#else /* WIN32 */ - struct timeval tv; /* Time of day */ - struct timezone tz; /* Dummy for gettimeofday */ -#endif /* WIN32 */ - - ranfile = fopen(seed_dev, "rb"); - if (ranfile != NULL) - { - for (nextbyte = 0; - nextbyte < (int)sizeof randomunion.ranbuffer; - nextbyte += bytesread) - { - bytesread = fread(&randomunion.ranbuffer[nextbyte], 1, - sizeof randomunion.ranbuffer - nextbyte, ranfile); - if (bytesread == 0) - break; - } - fclose(ranfile); - if (nextbyte == sizeof randomunion.ranbuffer) - { - mts_seed32new(state, randomunion.randomvalue); - return; - } - } - - /* - * The device isn't available. Use the time. We will - * assume that the time of day is accurate to microsecond - * resolution, which is true on most modern machines. - */ -#ifdef WIN32 - (void) _ftime (&tb); -#else /* WIN32 */ - (void) gettimeofday (&tv, &tz); -#endif /* WIN32 */ - - /* - * We just let the excess part of the seconds field overflow - */ -#ifdef WIN32 - randomunion.randomvalue = tb.time * 1000 + tb.millitm; -#else /* WIN32 */ - randomunion.randomvalue = tv.tv_sec * 1000000 + tv.tv_usec; -#endif /* WIN32 */ - mts_seed32new(state, randomunion.randomvalue); - } - -/* - * Choose a seed based on the best random input available. Prefers - * /dev/random as a source of random numbers, and reads the entire - * 624-long state from that device. Because of this approach, the - * function can take a long time (in real time) to complete, since - * /dev/random may have to wait quite a while before it can provide - * that much randomness. If /dev/random is unavailable, falls back to - * calling mts_goodseed. - */ -void mts_bestseed( - mt_state* state) /* State vector to seed */ - { - int bytesread; /* Byte count read from device */ - int nextbyte; /* Index of next byte to read */ - FILE* ranfile; /* Access to device */ - - ranfile = fopen("/dev/random", "rb"); - if (ranfile == NULL) - { - mts_goodseed(state); - return; - } - - for (nextbyte = 0; - nextbyte < (int)sizeof state->statevec; - nextbyte += bytesread) - { - bytesread = fread((char *)&state->statevec + nextbyte, 1, - sizeof state->statevec - nextbyte, ranfile); - if (bytesread == 0) - { - /* - * Something went wrong. Fall back to time-based seeding. - */ - fclose(ranfile); - mts_goodseed(state); - return; - } - } - } - -/* - * Generate 624 more random values. This function is called when the - * state vector has been exhausted. It generates another batch of - * pseudo-random values. The performance of this function is critical - * to the performance of the Mersenne Twist PRNG, so it has been - * highly optimized. - */ -void mts_refresh( - register mt_state* state) /* State for the PRNG */ - { - register int i; /* Index into the state */ - register unsigned long* - state_ptr; /* Next place to get from state */ - register unsigned long - value1; /* Scratch val picked up from state */ - register unsigned long - value2; /* Scratch val picked up from state */ - - /* - * Start by making sure a random seed has been set. If not, set - * one. - */ - if (!state->initialized) - { - mts_seed32(state, DEFAULT_SEED32_OLD); - return; /* Seed32 calls us recursively */ - } - - /* - * Now generate the new pseudorandom values by applying the - * recurrence relation. We use two loops and a final - * 2-statement sequence so that we can handle the wraparound - * explicitly, rather than having to use the relatively slow - * modulus operator. - * - * In essence, the recurrence relation concatenates bits - * chosen from the current random value (last time around) - * with the immediately preceding one. Then it - * matrix-multiplies the concatenated bits with a value - * RECURRENCE_OFFSET away and a constant matrix. The matrix - * multiplication reduces to a shift and two XORs. - * - * Some comments on the optimizations are in order: - * - * Strictly speaking, none of the optimizations should be - * necessary. All could conceivably be done by a really good - * compiler. However, the compilers available to me aren't quite - * smart enough, so hand optimization needs to be done. - * - * Shawn Cokus was the first to achieve a major speedup. In the - * original code, the first value given to COMBINE_BITS (in my - * characterization) was re-fetched from the state array, rather - * than being carried in a scratch variable. Cokus noticed that - * the first argument to COMBINE_BITS could be saved in a register - * in the previous loop iteration, getting rid of the need for an - * expensive memory reference. - * - * Cokus also switched to using pointers to access the state - * array and broke the original loop into two so that he could - * avoid using the expensive modulus operator. Cokus used three - * pointers; Richard J. Wagner noticed that the offsets between - * the three were constant, so that they could be collapsed into a - * single pointer and constant-offset accesses. This is clearly - * faster on x86 architectures, and is the same cost on RISC - * machines. A secondary benefit is that Cokus' version was - * register-starved on the x86, while Wagner's version was not. - * - * I made several smaller improvements to these observations. - * First, I reversed the contents of the state vector. In the - * current version of the code, this change doesn't directly - * affect the performance of the refresh loop, but it has the nice - * side benefit that an all-zero state structure represents an - * uninitialized generator. It also slightly speeds up the - * random-number routines, since they can compare the state - * pointer against zero instead of against a constant (this makes - * the biggest difference on RISC machines). - * - * Second, I returned to Matsumoto and Nishimura's original - * technique of using a lookup table to decide whether to xor the - * constant vector A (MATRIX_A in this code) with the newly - * computed value. Cokus and Wagner had used the ?: operator, - * which requires a test and branch. Modern machines don't like - * branches, so the table lookup is faster. - * - * Third, in the Cokus and Wagner versions the loop ends with a - * statement similar to "value1 = value2", which is necessary to - * carry the fetched value into the next loop iteration. I - * recognized that if the loop were unrolled so that it generates - * two values per iteration, a bit of variable renaming would get - * rid of that assignment. A nice side effect is that the - * overhead of loop control becomes only half as large. - * - * It is possible to improve the code's performance somewhat - * further. In particular, since the second loop's loop count - * factors into 2*2*3*3*11, it could be unrolled yet further. - * That's easy to do, too: just change the "/ 2" into a division - * by whatever factor you choose, and then use cut-and-paste to - * duplicate the code in the body. To remove a few more cycles, - * fix the code to decrement state_ptr by the unrolling factor, and - * adjust the various offsets appropriately. However, the payoff - * will be small. At the moment, the x86 version of the loop is - * 25 instructions, of which 3 are involved in loop control - * (including the decrementing of state_ptr). Further unrolling by - * a factor of 2 would thus produce only about a 6% speedup. - * - * The logical extension of the unrolling - * approach would be to remove the loops and create 624 - * appropriate copies of the body. However, I think that doing - * the latter is a bit excessive! - * - * I suspect that a superior optimization would be to simplify the - * mathematical operations involved in the recurrence relation. - * However, I have no idea whether such a simplification is - * feasible. - */ - state_ptr = &state->statevec[MT_STATE_SIZE - 1]; - value1 = *state_ptr; - for (i = (MT_STATE_SIZE - RECURRENCE_OFFSET) / 2; --i >= 0; ) - { - state_ptr -= 2; - value2 = state_ptr[1]; - value1 = COMBINE_BITS(value1, value2); - state_ptr[2] = - MATRIX_MULTIPLY(state_ptr[-RECURRENCE_OFFSET + 2], value1); - value1 = state_ptr[0]; - value2 = COMBINE_BITS(value2, value1); - state_ptr[1] = - MATRIX_MULTIPLY(state_ptr[-RECURRENCE_OFFSET + 1], value2); - } - value2 = *--state_ptr; - value1 = COMBINE_BITS(value1, value2); - state_ptr[1] = - MATRIX_MULTIPLY(state_ptr[-RECURRENCE_OFFSET + 1], value1); - - for (i = (RECURRENCE_OFFSET - 1) / 2; --i >= 0; ) - { - state_ptr -= 2; - value1 = state_ptr[1]; - value2 = COMBINE_BITS(value2, value1); - state_ptr[2] = - MATRIX_MULTIPLY(state_ptr[MT_STATE_SIZE - RECURRENCE_OFFSET + 2], - value2); - value2 = state_ptr[0]; - value1 = COMBINE_BITS(value1, value2); - state_ptr[1] = - MATRIX_MULTIPLY(state_ptr[MT_STATE_SIZE - RECURRENCE_OFFSET + 1], - value1); - } - - /* - * The final entry in the table requires the "previous" value - * to be gotten from the other end of the state vector, so it - * must be handled specially. - */ - value1 = COMBINE_BITS(value2, state->statevec[MT_STATE_SIZE - 1]); - *state_ptr = - MATRIX_MULTIPLY(state_ptr[MT_STATE_SIZE - RECURRENCE_OFFSET], value1); - - /* - * Now that refresh is complete, reset the state pointer to allow more - * pseudorandom values to be fetched from the state array. - */ - state->stateptr = MT_STATE_SIZE; - } - -/* - * Save state to a file. The save format is compatible with Richard - * J. Wagner's format, although the details are different. Returns NZ - * if the save succeeded. Produces one very long line containing 625 - * numbers. - */ -int mts_savestate( - FILE* statefile, /* File to save to */ - mt_state* state) /* State to be saved */ - { - int i; /* Next word to save */ - - if (!state->initialized) - mts_seed32(state, DEFAULT_SEED32_OLD); - - for (i = MT_STATE_SIZE; --i >= 0; ) - { - if (fprintf(statefile, "%lu ", state->statevec[i]) < 0) - return 0; - } - - if (fprintf(statefile, "%d\n", state->stateptr) < 0) - return 0; - - return 1; - } - -/* - * Load state from a file. Returns NZ if the load succeeded. - */ -int mts_loadstate( - FILE* statefile, /* File to load from */ - mt_state* state) /* State to be loaded */ - { - int i; /* Next word to load */ - - /* - * Set the state to "uninitialized" in case the load fails. - */ - state->initialized = state->stateptr = 0; - - for (i = MT_STATE_SIZE; --i >= 0; ) - { - if (fscanf(statefile, "%lu", &state->statevec[i]) != 1) - return 0; - } - - if (fscanf(statefile, "%d", &state->stateptr) != 1) - return 0; - - /* - * The only validity checking we can do is to insist that the - * state pointer be valid. - */ - if (state->stateptr < 0 || state->stateptr > MT_STATE_SIZE) - { - state->stateptr = 0; - return 0; - } - - mts_mark_initialized(state); - - return 1; - } - -/* - * Initialize the default Mersenne Twist PRNG from a 32-bit seed. - * - * See mts_seed32 for full commentary. - */ -void mt_seed32( - unsigned long seed) /* 32-bit seed to start from */ - { - mts_seed32(&mt_default_state, seed); - } - -/* - * Initialize the default Mersenne Twist PRNG from a 32-bit seed. - * - * See mts_seed32new for full commentary. - */ -void mt_seed32new( - unsigned long seed) /* 32-bit seed to start from */ - { - mts_seed32new(&mt_default_state, seed); - } - -/* - * Initialize a Mersenne Twist RNG from a 624-long seed. - * - * See mts_seedfull for full commentary. - */ -void mt_seedfull( - unsigned long seeds[MT_STATE_SIZE]) - { - mts_seedfull(&mt_default_state, seeds); - } - -/* - * Initialize the PRNG from random input. See mts_seed. - */ -void mt_seed() - { - mts_seed(&mt_default_state); - } - -/* - * Initialize the PRNG from random input. See mts_goodseed. - */ -void mt_goodseed() - { - mts_goodseed(&mt_default_state); - } - -/* - * Initialize the PRNG from random input. See mts_bestseed. - */ -void mt_bestseed() - { - mts_bestseed(&mt_default_state); - } - -/* - * Return a pointer to the current state of the PRNG. The purpose of - * this function is to allow the state to be saved for later - * restoration. The state should not be modified; instead, it should - * be reused later as a parameter to one of the mts_xxx functions. - */ -extern mt_state* mt_getstate() - { - return &mt_default_state; - } - -/* - * Save state to a file. The save format is compatible with Richard - * J. Wagner's format, although the details are different. - */ -int mt_savestate( - FILE* statefile) /* File to save to */ - { - return mts_savestate(statefile, &mt_default_state); - } - -/* - * Load state from a file. - */ -int mt_loadstate( - FILE* statefile) /* File to load from */ - { - return mts_loadstate(statefile, &mt_default_state); - } diff --git a/comparison_algs_src/BioHEL/mtwist.h b/comparison_algs_src/BioHEL/mtwist.h deleted file mode 100644 index d6d29fd..0000000 --- a/comparison_algs_src/BioHEL/mtwist.h +++ /dev/null @@ -1,834 +0,0 @@ -#ifndef MTWIST_H -#define MTWIST_H - -/* - * Header file for C/C++ use of the Mersenne-Twist pseudo-RNG. See - * http://www.math.keio.ac.jp/~matumoto/emt.html for full information. - * - * Author of this header file: Geoffrey H. Kuenning, March 18, 2001. - * - * IMPORTANT NOTE: the Makefile must define two machine-specific - * variables to get optimum features and performance: - * - * MT_NO_INLINE should be defined if the compiler doesn't support - * the "inline" keyword. - * MT_NO_LONGLONG should be defined if the compiler doesn't support a - * "long long" type for 64-bit integers - * MT_MACHINE_BITS must be either 32 or 64, reflecting the natural - * size of the processor registers. If undefined, it - * will default to a value calculated from limits.h. - * - * The first two variables above are defined in an inverted sense - * because I expect that most compilers will support inline and - * long-long. By inverting the sense, this common case will require - * no special compiler flags. - * - * IMPORTANT NOTE: this software assumes that the inherent width of a - * "long" is 32 bits. If you are running on a machine that uses - * 64-bit longs, some of the declarations and code will have to be - * modified. - * - * The executable part of this software is based on LGPL-ed code by - * Takuji Nishimura. The header file is therefore also distributed - * under the LGPL: - * - * This library is free software; you can redistribute it and/or - * modify it under the terms of the GNU Library General Public License - * as published by the Free Software Foundation; either version 2 of - * the License, or (at your option) any later version. - * - * This library is distributed in the hope that it will be useful, but - * WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - * Library General Public License for more details. You should have - * received a copy of the GNU Library General Public License along - * with this library; if not, write to the Free Foundation, Inc., 59 - * Temple Place, Suite 330, Boston, MA 02111-1307 USA - * - * $Log: mtwist.h,v $ - * Revision 1.1.1.1 2007/03/05 16:39:24 jaume - * initial import in ductsoup - * - * Revision 1.1.1.1 2006/06/22 09:59:09 jbacardit - * Initial import - * - * Revision 1.15 2003/09/11 23:56:20 geoff - * Allow stdio references in C++ files; it turns out that ANSI has - * blessed it. Declare the various functions as external even if they're - * inlined or being compiled directly (in mtwist.c). Get rid of a #ifdef - * that can't ever be true. - * - * Revision 1.14 2003/09/11 05:50:53 geoff - * Don't allow stdio references from C++, since they're not guaranteed to - * work on all compilers. Disable inlining using the MT_INLINE keyword - * rather than #defining inline, since doing the latter can affect other - * files and functions than our own. - * - * Revision 1.13 2003/07/01 23:29:29 geoff - * Refer to streams from the standard library using the correct namespace. - * - * Revision 1.12 2002/10/30 07:39:54 geoff - * Declare the new seeding functions. - * - * Revision 1.11 2001/06/19 00:41:16 geoff - * For consistency with other C++ types, don't put out a newline after - * the saved data. - * - * Revision 1.10 2001/06/18 10:09:24 geoff - * Fix some places where I forgot to set one of the result values. Make - * the C++ state vector protected so the random-distributions package can - * pass it to the C functions. - * - * Revision 1.9 2001/06/18 05:40:12 geoff - * Prefix the compile options with MT_. - * - * Revision 1.8 2001/06/14 10:26:59 geoff - * Invert the sense of the #define flags so that the default is the - * normal case (if gcc is normal!). Also default MT_MACHINE_BITS to 32. - * - * Revision 1.7 2001/06/14 10:10:38 geoff - * Move the critical-path PRNG code into the header file so that it can - * be inlined. Add saving/loading of state. Add functions to seed based - * on /dev/random or the time. Add the function-call operator in the C++ - * code. - * - * Revision 1.6 2001/06/11 10:00:04 geoff - * Add declarations of the refresh and /dev/random seeding functions. - * Change getstate to return a complete state pointer, since knowing the - * position in the state vector is critical to restoring the state. - * - * Revision 1.5 2001/04/23 08:36:03 geoff - * Remember to zero the state pointer when constructing, since otherwise - * proper initialization won't happen. - * - * Revision 1.4 2001/04/14 01:33:32 geoff - * Clarify the license - * - * Revision 1.3 2001/04/14 01:04:54 geoff - * Add a C++ class, mt_prng, that makes usage more convenient for C++ - * programmers. - * - * Revision 1.2 2001/04/09 08:45:00 geoff - * Fix the name in the #ifndef wrapper, and clean up some outdated comments. - * - * Revision 1.1 2001/04/07 09:43:41 geoff - * Initial revision - * - */ - -#include -#ifdef __cplusplus -#include -#endif /* __cplusplus */ - -#ifndef MT_MACHINE_BITS -#include -#if INT_MAX == 2147483647 -#define MT_MACHINE_BITS 32 -#else /* INT_MAX */ -#define MT_MACHINE_BITS 64 -#endif /* INT_MAX */ -#endif /* MT_MACHINE_BITS */ - -/* - * The following value is a fundamental parameter of the algorithm. - * It was found experimentally using methods described in Matsumoto - * and Nishimura's paper. It is exceedingly magic; don't change it. - */ -#define MT_STATE_SIZE 624 /* Size of the MT state vector */ - -/* - * Internal state for an MT RNG. The user can keep multiple mt_state - * structures around as a way of generating multiple streams of random - * numbers. - * - * In Matsumoto and Nishimura's original paper, the state vector was - * processed in a forward direction. I have reversed the state vector - * in this implementation. The reason for the reversal is that it - * allows the critical path to use a test against zero instead of a - * test against 624 to detect the need to refresh the state. on most - * machines, testing against zero is slightly faster. It also means - * that a state that has been set to all zeros will be correctly - * detected as needing initialization; this means that setting a state - * vector to zero (either with memset or by statically allocating it) - * will cause the RNG to operate properly. - */ -typedef struct - { - unsigned long statevec[MT_STATE_SIZE]; - /* Vector holding current state */ - int stateptr; /* Next state entry to be used */ - int initialized; /* NZ if state was initialized */ - } - mt_state; - -#ifdef __cplusplus -extern "C" - { -#endif - -/* - * Functions for manipulating any generator (given a state pointer). - */ -extern void mts_mark_initialized(mt_state* state); - /* Mark a PRNG state as initialized */ -extern void mts_seed32(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -extern void mts_seed32new(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -extern void mts_seedfull(mt_state* state, - unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for any gen. */ -extern void mts_seed(mt_state* state); - /* Choose seed from random input. */ - /* ..Prefers /dev/urandom; uses time */ - /* ..if /dev/urandom unavailable. */ - /* ..Only gives 32 bits of entropy. */ -extern void mts_goodseed(mt_state* state); - /* Choose seed from more random */ - /* ..input than mts_seed. Prefers */ - /* ../dev/random; uses time if that */ - /* ..is unavailable. Only gives 32 */ - /* ..bits of entropy. */ -extern void mts_bestseed(mt_state* state); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow). */ - /* ..Prefers /dev/random and reads */ - /* ..the entire state from there. */ - /* ..If /dev/random is unavailable, */ - /* ..falls back to mt_goodseed(). */ - /* ..Not usually worth the cost. */ -extern void mts_refresh(mt_state* state); - /* Generate 624 more random values */ -extern int mts_savestate(FILE* statefile, mt_state* state); - /* Save state to a file (ASCII). */ - /* ..Returns NZ if succeeded. */ -extern int mts_loadstate(FILE* statefile, mt_state* state); - /* Load state from a file (ASCII). */ - /* ..Returns NZ if succeeded. */ - -/* - * Functions for manipulating the default generator. - */ -extern void mt_seed32(unsigned long seed); - /* Set random seed for default gen. */ -extern void mt_seed32new(unsigned long seed); - /* Set random seed for default gen. */ -extern void mt_seedfull(unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for default */ -extern void mt_seed(void); /* Choose seed from random input. */ - /* ..Prefers /dev/urandom; uses time */ - /* ..if /dev/urandom unavailable. */ - /* ..Only gives 32 bits of entropy. */ -extern void mt_goodseed(void); - /* Choose seed from more random */ - /* ..input than mts_seed. Prefers */ - /* ../dev/random; uses time if that */ - /* ..is unavailable. Only gives 32 */ - /* ..bits of entropy. */ -extern void mt_bestseed(void); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow). */ - /* ..Prefers /dev/random and reads */ - /* ..the entire state from there. */ - /* ..If /dev/random is unavailable, */ - /* ..falls back to mt_goodseed(). */ - /* ..Not usually worth the cost. */ -extern mt_state* mt_getstate(void); - /* Get current state of default */ - /* ..generator */ -extern int mt_savestate(FILE* statefile); - /* Save state to a file (ASCII) */ - /* ..Returns NZ if succeeded. */ -extern int mt_loadstate(FILE* statefile); - /* Load state from a file (ASCII) */ - /* ..Returns NZ if succeeded. */ - -#ifdef __cplusplus - } -#endif - -/* - * Functions for generating random numbers. The actual code of the - * functions is given in this file so that it can be declared inline. - * For compilers that don't have the inline feature, mtwist.c will - * incorporate this file with some clever #defining so that the code - * actually gets compiled. In that case, however, "extern" - * definitions will be needed here, so we give them. - */ -#ifdef __cplusplus -#undef MT_NO_INLINE /* C++ definitely has inlining */ -#endif /* __cplusplus */ - -extern unsigned long mts_lrand(mt_state* state); - /* Generate 32-bit value, any gen. */ -#ifndef MT_NO_LONGLONG -extern unsigned long long - mts_llrand(mt_state* state); - /* Generate 64-bit value, any gen. */ -#endif /* MT_NO_LONGLONG */ -extern double mts_drand(mt_state* state); - /* Generate floating value, any gen. */ - /* Fast, with only 32-bit precision */ -extern double mts_ldrand(mt_state* state); - /* Generate floating value, any gen. */ - /* Slower, with 64-bit precision */ - -extern unsigned long mt_lrand(void); /* Generate 32-bit random value */ -#ifndef MT_NO_LONGLONG -extern unsigned long long - mt_llrand(void); - /* Generate 64-bit random value */ -#endif /* MT_NO_LONGLONG */ -extern double mt_drand(void); - /* Generate floating value */ - /* Fast, with only 32-bit precision */ -extern double mt_ldrand(void); - /* Generate floating value */ - /* Slower, with 64-bit precision */ - -#ifndef MT_NO_INLINE -/* - * Tempering parameters. These are perhaps the most magic of all the magic - * values in the algorithm. The values are again experimentally determined. - * The values generated by the recurrence relation (constants above) are not - * equidistributed in 623-space. For some reason, the tempering process - * produces that effect. Don't ask me why. Read the paper if you can - * understand the math. Or just trust these magic numbers. - */ -#define MT_TEMPERING_MASK_B 0x9d2c5680 -#define MT_TEMPERING_MASK_C 0xefc60000 -#define MT_TEMPERING_SHIFT_U(y) \ - (y >> 11) -#define MT_TEMPERING_SHIFT_S(y) \ - (y << 7) -#define MT_TEMPERING_SHIFT_T(y) \ - (y << 15) -#define MT_TEMPERING_SHIFT_L(y) \ - (y >> 18) - -/* - * Macros to do the tempering. MT_PRE_TEMPER does all but the last step; - * it's useful for situations where the final step can be incorporated - * into a return statement. MT_FINAL_TEMPER does that final step (not as - * an assignment). MT_TEMPER does the entire process. Note that - * MT_PRE_TEMPER and MT_TEMPER both modify their arguments. - */ -#define MT_PRE_TEMPER(value) \ - do \ - { \ - value ^= MT_TEMPERING_SHIFT_U(value); \ - value ^= MT_TEMPERING_SHIFT_S(value) & MT_TEMPERING_MASK_B; \ - value ^= MT_TEMPERING_SHIFT_T(value) & MT_TEMPERING_MASK_C; \ - } \ - while (0) -#define MT_FINAL_TEMPER(value) \ - ((value) ^ MT_TEMPERING_SHIFT_L(value)) -#define MT_TEMPER(value) \ - do \ - { \ - value ^= MT_TEMPERING_SHIFT_U(value); \ - value ^= MT_TEMPERING_SHIFT_S(value) & MT_TEMPERING_MASK_B; \ - value ^= MT_TEMPERING_SHIFT_T(value) & MT_TEMPERING_MASK_C; \ - value ^= MT_TEMPERING_SHIFT_L(value); \ - } \ - while (0) - -extern mt_state mt_default_state; - /* State of the default generator */ -extern double mt_32_to_double; - /* Multiplier to convert long to dbl */ -extern double mt_64_to_double; - /* Mult'r to cvt long long to dbl */ - -/* - * In gcc, inline functions must be declared extern or they'll produce - * assembly code (and thus linking errors). We have to work around - * that difficulty with the MT_EXTERN define. - */ -#ifndef MT_EXTERN -#ifdef __cplusplus -#define MT_EXTERN /* C++ doesn't need static */ -#else /* __cplusplus */ -#define MT_EXTERN extern /* C (at least gcc) needs extern */ -#endif /* __cplusplus */ -#endif /* MT_EXTERN */ - -/* - * Make it possible for mtwist.c to disable the inline keyword. We - * use our own keyword so that we don't interfere with inlining in - * C/C++ header files, above. - */ -#ifndef MT_INLINE -#define MT_INLINE inline /* Compiler has inlining */ -#endif /* MT_INLINE */ - -/* - * Generate a random number in the range 0 to 2^32-1, inclusive, working - * from a given state vector. - * - * The generator is optimized for speed. The primary optimization is that - * the pseudorandom numbers are generated in batches of MT_STATE_SIZE. This - * saves the cost of a modulus operation in the critical path. - */ -MT_EXTERN MT_INLINE unsigned long mts_lrand( - register mt_state* state) /* State for the PRNG */ - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (state->stateptr <= 0) - mts_refresh(state); - - random_value = state->statevec[--state->stateptr]; - MT_PRE_TEMPER(random_value); - return MT_FINAL_TEMPER(random_value); - } - -#ifndef MT_NO_LONGLONG -/* - * Generate a random number in the range 0 to 2^64-1, inclusive, working - * from a given state vector. - * - * According to Matsumoto and Nishimura, such a number can be generated by - * simply concatenating two 32-bit pseudorandom numbers. Who am I to argue? - * - * Note that there is a slight inefficiency here: if the 624-entry state is - * recycled on the second call to mts_lrand, there will be an unnecessary - * check to see if the state has been initialized. The cost of that check - * seems small (since it happens only once every 624 random numbers, and - * never if only 64-bit numbers are being generated), so I didn't bother to - * optimize it out. Doing so would be messy, since it would require two - * nearly-identical internal implementations of mts_lrand. - */ -MT_EXTERN MT_INLINE unsigned long long mts_llrand( - register mt_state* state) /* State for the PRNG */ - { - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--state->stateptr <= 0) - { - if (state->stateptr < 0) - { - mts_refresh(state); - random_value_1 = state->statevec[--state->stateptr]; - } - else - { - random_value_1 = state->statevec[state->stateptr]; - mts_refresh(state); - } - } - else - random_value_1 = state->statevec[--state->stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = state->statevec[--state->stateptr]; - MT_PRE_TEMPER(random_value_2); - - return ((unsigned long long) random_value_1 << 32) - | (unsigned long long) MT_FINAL_TEMPER(random_value_2); - } -#endif /* MT_NO_LONGLONG */ - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function is optimized for speed, but it only generates - * 32 bits of precision. Use mts_ldrand to get 64 bits of precision. - */ -MT_EXTERN MT_INLINE double mts_drand( - register mt_state* state) /* State for the PRNG */ - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (state->stateptr <= 0) - mts_refresh(state); - - random_value = state->statevec[--state->stateptr]; - MT_TEMPER(random_value); - - return random_value * mt_32_to_double; - } - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function generates 64 bits of precision. Use - * mts_drand for more speed but less precision. - */ -MT_EXTERN MT_INLINE double mts_ldrand( - register mt_state* state) /* State for the PRNG */ - { -#if MT_MACHINE_BITS == 64 - unsigned long long final_value; /* Final (integer) value */ -#endif /* MT_MACHINE_BITS */ - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--state->stateptr <= 0) - { - if (state->stateptr < 0) - { - mts_refresh(state); - random_value_1 = state->statevec[--state->stateptr]; - } - else - { - random_value_1 = state->statevec[state->stateptr]; - mts_refresh(state); - } - } - else - random_value_1 = state->statevec[--state->stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = state->statevec[--state->stateptr]; - MT_TEMPER(random_value_2); - -#if MT_MACHINE_BITS == 64 - final_value = ((unsigned long long) random_value_1 << 32) - | (unsigned long long) random_value_2; - return final_value * mt_64_to_double; -#else /* MT_MACHINE_BITS */ - return random_value_1 * mt_32_to_double + random_value_2 * mt_64_to_double; -#endif /* MT_MACHINE_BITS */ - } - -/* - * Generate a random number in the range 0 to 2^32-1, inclusive, working - * from the default state vector. - * - * See mts_lrand for full commentary. - */ -MT_EXTERN MT_INLINE unsigned long mt_lrand() - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (mt_default_state.stateptr <= 0) - mts_refresh(&mt_default_state); - - random_value = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_PRE_TEMPER(random_value); - - return MT_FINAL_TEMPER(random_value); - } - -#ifndef MT_NO_LONGLONG -/* - * Generate a random number in the range 0 to 2^64-1, inclusive, working - * from the default state vector. - * - * See mts_llrand for full commentary. - */ -MT_EXTERN MT_INLINE unsigned long long mt_llrand() - { - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--mt_default_state.stateptr <= 0) - { - if (mt_default_state.stateptr < 0) - { - mts_refresh(&mt_default_state); - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - } - else - { - random_value_1 = - mt_default_state.statevec[mt_default_state.stateptr]; - mts_refresh(&mt_default_state); - } - } - else - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_PRE_TEMPER(random_value_2); - - return ((unsigned long long) random_value_1 << 32) - | (unsigned long long) MT_FINAL_TEMPER(random_value_2); - } -#endif /* MT_NO_LONGLONG */ - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function is optimized for speed, but it only generates - * 32 bits of precision. Use mt_ldrand to get 64 bits of precision. - */ -MT_EXTERN MT_INLINE double mt_drand() - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (mt_default_state.stateptr <= 0) - mts_refresh(&mt_default_state); - - random_value = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_TEMPER(random_value); - - return random_value * mt_32_to_double; - } - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function generates 64 bits of precision. Use - * mts_drand for more speed but less precision. - */ -MT_EXTERN MT_INLINE double mt_ldrand(void) - { -#if MT_MACHINE_BITS == 64 - unsigned long long final_value; /* Final (integer) value */ -#endif /* MT_MACHINE_BITS */ - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--mt_default_state.stateptr <= 0) - { - if (mt_default_state.stateptr < 0) - { - mts_refresh(&mt_default_state); - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - } - else - { - random_value_1 = - mt_default_state.statevec[mt_default_state.stateptr]; - mts_refresh(&mt_default_state); - } - } - else - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_TEMPER(random_value_2); - -#if MT_MACHINE_BITS == 64 - final_value = ((unsigned long long) random_value_1 << 32) - | (unsigned long long) random_value_2; - return final_value * mt_64_to_double; -#else /* MT_MACHINE_BITS */ - return random_value_1 * mt_32_to_double + random_value_2 * mt_64_to_double; -#endif /* MT_MACHINE_BITS */ - } - -#endif /* MT_NO_INLINE */ - -#ifdef __cplusplus -/* - * C++ interface to the Mersenne Twist PRNG. This class simply - * provides a more C++-ish way to access the PRNG. Only state-based - * functions are provided. All functions are inlined, both for speed - * and so that the same implementation code can be used in C and C++. - */ -class mt_prng - { - public: - /* - * Constructors and destructors. The default constructor - * leaves initialization (seeding) for later unless pickSeed - * is true, in which case the seed is chosen based on either - * /dev/urandom (if available) or the system time. The other - * constructors accept either a 32-bit seed, or a full - * 624-long seed. - */ - mt_prng( // Default constructor - bool pickSeed = false) - // True to get seed from /dev/urandom - // ..or time - { - state.stateptr = 0; - state.initialized = 0; - if (pickSeed) - mts_seed(&state); - } - mt_prng(unsigned long seed) - // Construct with 32-bit seeding - { - state.stateptr = 0; - state.initialized = 0; - mts_seed32(&state, seed); - } - mt_prng(unsigned long seeds[MT_STATE_SIZE]) - // Construct with full seeding - { - state.stateptr = 0; - state.initialized = 0; - mts_seedfull(&state, seeds); - } - ~mt_prng() { } - - /* - * Copy and assignment are best left defaulted. - */ - - /* - * PRNG seeding functions. - */ - void seed32(unsigned long seed) - // Set 32-bit random seed - { - mts_seed32(&state, seed); - } - void seed32new(unsigned long seed) - // Set 32-bit random seed - { - mts_seed32new(&state, seed); - } - void seedfull(unsigned long seeds[MT_STATE_SIZE]) - // Set complicated random seed - { - mts_seedfull(&state, seeds); - } - void seed() // Choose seed from random input - { - mts_seed(&state); - } - void goodseed() // Choose better seed from random input - { - mts_goodseed(&state); - } - void bestseed() // Choose best seed from random input - { - mts_bestseed(&state); - } - friend std::ostream& - operator<<(std::ostream& stream, const mt_prng& rng); - friend std::istream& - operator>>(std::istream& stream, mt_prng& rng); - - /* - * PRNG generation functions - */ - unsigned long lrand() // Generate 32-bit pseudo-random value - { - return mts_lrand(&state); - } -#ifndef MT_NO_LONGLONG - unsigned long long - llrand() // Generate 64-bit pseudo-random value - { - return mts_llrand(&state); - } -#endif /* MT_NO_LONGLONG */ - double drand() // Generate fast 32-bit floating value - { - return mts_drand(&state); - } - double ldrand() // Generate slow 64-bit floating value - { - return mts_ldrand(&state); - } - - /* - * Following Richard J. Wagner's example, we overload the - * function-call operator to return a 32-bit floating value. - * That allows the common use of the PRNG to be simplified as - * in the following example: - * - * mt_prng ranno(true); - * // ... - * coinFlip = ranno() >= 0.5 ? heads : tails; - */ - double operator()() - { - return mts_drand(&state); - } - protected: - /* - * Protected data - */ - mt_state state; // Current state of the PRNG - }; - -/* - * Save state to a stream. See mts_savestate. - */ -MT_INLINE std::ostream& operator<<( - std::ostream& stream, // Stream to save to - const mt_prng& rng) // PRNG to save - { - for (int i = MT_STATE_SIZE; --i >= 0; ) - { - if (!(stream << rng.state.statevec[i] << ' ')) - return stream; - } - - return stream << rng.state.stateptr; - } - -/* - * Restore state from a stream. See mts_loadstate. - */ -MT_INLINE std::istream& operator>>( - std::istream& stream, // Stream to laod from - mt_prng& rng) // PRNG to load - { - rng.state.initialized = rng.state.stateptr = 0; - for (int i = MT_STATE_SIZE; --i >= 0; ) - { - if (!(stream >> rng.state.statevec[i])) - return stream; - } - - if (!(stream >> rng.state.stateptr)) - { - rng.state.stateptr = 0; - return stream; - } - - /* - * If the state is invalid, all we can do is to make it uninitialized. - */ - if (rng.state.stateptr < 0 || rng.state.stateptr > MT_STATE_SIZE) - { - rng.state.stateptr = 0; - return stream; - } - - mts_mark_initialized(&rng.state); - - return stream; - } -#endif - -#endif /* MTWIST_H */ diff --git a/comparison_algs_src/BioHEL/mutation.cpp b/comparison_algs_src/BioHEL/mutation.cpp deleted file mode 100644 index d3f8633..0000000 --- a/comparison_algs_src/BioHEL/mutation.cpp +++ /dev/null @@ -1,31 +0,0 @@ -#include "timerMutation.h" - -extern timerMutation *tMut; - -void geneticAlgorithm::mutation() -{ - individualMutation(); - specialStages(); -} - -void geneticAlgorithm::specialStages() -{ - int i,j; - int numStages=offspringPopulation[0]->numSpecialStages(); - for(i=0;idoSpecialStage(i); - } - } -} - -void geneticAlgorithm::individualMutation() -{ - int i; - for (i = 0; i < popSize; i++) { - if(!rndmutationProb) { - offspringPopulation[i]->mutation(); - } - } -} - diff --git a/comparison_algs_src/BioHEL/mutation.h b/comparison_algs_src/BioHEL/mutation.h deleted file mode 100644 index 216c4e5..0000000 --- a/comparison_algs_src/BioHEL/mutation.h +++ /dev/null @@ -1,8 +0,0 @@ -#ifndef _MUTATION_H_ -#define _MUTATION_H_ - -void mutation(); -void individualMutation(); -void specialStages(); - -#endif diff --git a/comparison_algs_src/BioHEL/populationWrapper.cpp b/comparison_algs_src/BioHEL/populationWrapper.cpp deleted file mode 100644 index 1660a00..0000000 --- a/comparison_algs_src/BioHEL/populationWrapper.cpp +++ /dev/null @@ -1,150 +0,0 @@ -#include "populationWrapper.h" -#include - -populationWrapper::populationWrapper(int pPopSize, int balanced) -{ - cf=new classifierFactory; - ga=new geneticAlgorithm(cf, balanced); - popSize = pPopSize; -} - -populationWrapper::~populationWrapper() -{ - if (ga != NULL) delete ga; - if (cf != NULL) delete cf; -} - -void populationWrapper::activateModifiedFlag() -{ - int i; - - rank *rk=ga->getPopulationRank(); - for(i=0;iactivateModified(); - ga->resetBest(); -} - -rank *populationWrapper::getPopulationRank() -{ - int i; - - return ga->getPopulationRank(); -} - -void populationWrapper::doFitnessCalculations() { - ga->doFitnessComputations(); -} - -void populationWrapper::createPopulationRank() { - ga->createPopulationRank(); -} - -void populationWrapper::gaIteration() -{ - ga->doIterations(1); -} - -void populationWrapper::releasePopulation() -{ - ga->destroyPopulation(); -} - -classifier *populationWrapper::getBestOverall() -{ - return (classifier *)ga->getBest(); -} - -classifier **populationWrapper::getPopulation() -{ - return (classifier **)ga->getPopulation(); -} - - -classifier *populationWrapper::getBestPopulation() -{ - rank *rk=ga->getPopulationRank(); - return (classifier *)rk[0].ind; -} - -classifier *populationWrapper::getWorstPopulation() -{ - rank *rk=ga->getPopulationRank(); - return (classifier *)rk[popSize - 1].ind; -} - -double populationWrapper::getAverageLength() -{ - int i; - double ave=0; - - rank *rk=ga->getPopulationRank(); - - for(i=0;igetLength(); - - return ave/(double)popSize; -} - -void populationWrapper::getAverageDevAccuracy(double &ave,double &dev) -{ - int i; - ave=0; - dev=0; - - rank *rk=ga->getPopulationRank(); - - for(i=0;igetAccuracy(); - ave+=acc; - dev+=(acc*acc); - } - dev-=(ave*ave)/(double)popSize; - dev/=(double)(popSize-1); - dev=sqrt(dev); - ave/=(double)popSize; -} - -void populationWrapper::getAverageAccuracies(double &ave1,double &ave2) -{ - int i; - ave1=0; - ave2=0; - rank *rk=ga->getPopulationRank(); - - for(i=0;igetAccuracy(); - ave2+=((classifier *)rk[i].ind)->getAccuracy2(); - } - - ave1/=(double)popSize; - ave2/=(double)popSize; -} - - -double populationWrapper::getMaxAccuracy() -{ - int i; - - rank *rk=ga->getPopulationRank(); - double max=((classifier *)rk[0].ind)->getAccuracy(); - - for(i=1;igetAccuracy(); - if(percen>max) max=percen; - } - - return max; -} - -classifier *populationWrapper::cloneClassifier(classifier *orig,int son) -{ - return cf->cloneClassifier(orig,son); -} - -classifier *populationWrapper::createClassifier(int empty) -{ - return cf->createClassifier(empty); -} - -void populationWrapper::destroyClassifier(classifier *orig) -{ - cf->deleteClassifier(orig); -} diff --git a/comparison_algs_src/BioHEL/populationWrapper.h b/comparison_algs_src/BioHEL/populationWrapper.h deleted file mode 100644 index bcdb0d4..0000000 --- a/comparison_algs_src/BioHEL/populationWrapper.h +++ /dev/null @@ -1,39 +0,0 @@ -#ifndef _POPULATION_WRAPPER_H_ -#define _POPULATION_WRAPPER_H_ - -#include "ga.h" - -class classifier; - - -class populationWrapper { - geneticAlgorithm *ga; - classifierFactory *cf; - -public: - int popSize; - populationWrapper(int popSize, int balanced=0); - ~populationWrapper(); - void activateModifiedFlag(); - void gaIteration(); - void doFitnessCalculations(); - void createPopulationRank(); - void dumpPopulation(); - classifier *getBestOverall(); - classifier *getBestPopulation(); - classifier *getWorstPopulation(); - classifier **getPopulation(); - void releasePopulation(); - rank *getPopulationRank(); - double getAverageLength(); - double getAverageElements(); - double getAverageAliveElements(); - void getAverageDevAccuracy(double &ave,double &dev); - void getAverageAccuracies(double &ave1,double &ave2); - double getMaxAccuracy(); - classifier *cloneClassifier(classifier *orig,int son=0); - void destroyClassifier(classifier *orig); - classifier *createClassifier(int empty=0); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/probabilityManagement.h b/comparison_algs_src/BioHEL/probabilityManagement.h deleted file mode 100644 index 1236893..0000000 --- a/comparison_algs_src/BioHEL/probabilityManagement.h +++ /dev/null @@ -1,53 +0,0 @@ -#ifndef _PROBABILITY_MANAGEMENT_H_ -#define _PROBABILITY_MANAGEMENT_H_ - -#include - -#define LINEAR 1 -#define SIGMOIDAL 2 - -extern double percentageOfLearning; - -class probabilityManagement { - double probStart; - double probEnd; - double probLength; - int evolMode; - - double currentProb; - double sigmaYLength; - double sigmaYBase; - double sigmaXOffset; - double beta; - public: - probabilityManagement(double start, double end, int mode) { - probStart = start; - probEnd = end; - evolMode = mode; - - if (mode == LINEAR) { - probLength=end-start; - currentProb = start; - } else { - sigmaYLength = end - start; - sigmaYBase = start; - sigmaXOffset = 0.5; - beta = -10; - } - } - - inline double incStep() { - if (evolMode == LINEAR) { - currentProb=percentageOfLearning*probLength+probStart; - } else { - currentProb = - sigmaYLength / (1 + - exp(beta*(percentageOfLearning-0.5))) - + sigmaYBase; - - } - return currentProb; - } -}; - -#endif diff --git a/comparison_algs_src/BioHEL/random.cpp b/comparison_algs_src/BioHEL/random.cpp deleted file mode 100644 index 6e6b031..0000000 --- a/comparison_algs_src/BioHEL/random.cpp +++ /dev/null @@ -1,74 +0,0 @@ -#include -#include -#include "random.h" -#include -#include -#include -#include -#include -#include -#include "messageBuffer.h" - -extern messageBuffer mb; - -// ------------------------------------ -// Constructor per defecte de la classe -// ------------------------------------ - -Random::Random() -{ - buildSeed(); - mt.seed32(seed); - count1=count2=0; - //init_genrand(seed); -} - -Random::~Random() -{ -} - -void Random::buildSeed() -{ - FILE *fp; - fp = fopen("/dev/urandom", "rb"); - if (!fp) { - perror("random fopen"); - exit(1); - } - - if (fread(&seed, sizeof(unsigned long int), 1, fp) != 1) { - perror("random fread"); - exit(1); - } - fclose(fp); -} - -void Random::dumpSeed() -{ - int i; - mb.printf("Random seed %u\n",seed); -} - -void Random::setSeed(unsigned long int pSeed) -{ - seed=pSeed; - mt.seed32(seed); - //init_genrand(seed); -} - -double Random::operator !(void) -{ - //return genrand_real1(); - return mt.drand(); -} - -unsigned long int Random::operator() (unsigned long int uLow, - unsigned long int uHigh) { - //return (uLow + (unsigned long int)(genrand_real2()*(uHigh + 1 - uLow))); - return (uLow + (unsigned long int)(mt.drand()*(uHigh + 1 - uLow))); -} - -unsigned long int Random::getUInt() -{ - return mt.lrand(); -} diff --git a/comparison_algs_src/BioHEL/random.h b/comparison_algs_src/BioHEL/random.h deleted file mode 100644 index 68c0877..0000000 --- a/comparison_algs_src/BioHEL/random.h +++ /dev/null @@ -1,33 +0,0 @@ -#if !defined(_RANDOM_GEN) -#define _RANDOM_GEN - -#include -#include -//#include "mt19937ar-cok.h" -#include "mtwist.h" -#include "messageBuffer.h" - -extern messageBuffer mb; - -class Random { - private: - unsigned long int seed; - int count1,count2; - mt_prng mt; - - void buildSeed(); - - public: - Random(); - ~Random(); - void dumpSeed(); - unsigned long int getSeed() {return seed;} - void setSeed( unsigned long int seed); - unsigned long int getUInt(); - double operator ! (void); - unsigned long int - operator() (unsigned long int uLow, unsigned long int uHigh); - void dumpCounters() { mb.printf("Random stats %d %d\n",count1,count2);} -}; - -#endif diff --git a/comparison_algs_src/BioHEL/replacement.cpp b/comparison_algs_src/BioHEL/replacement.cpp deleted file mode 100644 index ee5754b..0000000 --- a/comparison_algs_src/BioHEL/replacement.cpp +++ /dev/null @@ -1,111 +0,0 @@ -#include "timerCrossover.h" - -extern timerCrossover *tCross; - -extern "C" void calculateFitnessMixed(classifier ** population, - instance ** instances, int * typeOfAttributes, int popSize, - int numInstances, int strataOffset); - -extern "C" void calculateFitnessReal(classifier ** population, - instance ** instances, int popSize, - int numInstances, int strataOffset); - -void geneticAlgorithm::replacementAlgorithm() { - totalReplacement(); - doFitnessComputations(); - createPopulationRank(); - if(tGlobals->elitismEnabled) doElitism(); -} - -void geneticAlgorithm::doElitism() -{ - int i,j; - int n = 0; - - -#ifdef __CUDA_COMPILED__ - classifier ** pop = (classifier **) malloc(sizeof(classifier *) * numVersions); - for (i = 0; i < numVersions; i++) { - if (best[i]) { - pop[n++] = best[i]; - - } - } - - instance ** instances = is->getInstancesOfIteration(); - if (ai.onlyRealValuedAttributes()) { - calculateFitnessReal(pop, instances, n, - is->getNumInstancesOfIteration(), - is->getStrataOffsetOfIteration()); - } else { - int * typesOfAttributes = ai.getTypeOfAttributes(); - calculateFitnessMixed(pop, instances, typesOfAttributes, n, - is->getNumInstancesOfIteration(), - is->getStrataOffsetOfIteration()); - } -#else - for(i=0;ifitnessComputation(); - } - } -#endif - - int numV=numVersions; - JVector priorities(popSize+numV); - for(i=0;i=popSize) { - ind=best[pos-popSize]; - } else { - ind=population[pos]; - } - - if(best[i]->compareToIndividual(ind,optimizationMethod)>0) { - priorities.insertElementAt(popSize+i,j); - break; - } - } - if(j==size) { - priorities.addElement(popSize+i); - } - } - } - - JVector elite; - for(i=0;i=popSize) { - //mb.printf("Elite element %d enters the population\n",priorities[i]-popSize); - elite.addElement(priorities[i]-popSize); - } - } - int index=0; - int size=priorities.size(); - for(i=popSize;ideleteClassifier(population[pos]); - population[pos]= cf->cloneClassifier(best[elite[index++]]); - } - } - flagResetBest=0; -} - - -void geneticAlgorithm::totalReplacement() -{ - int i; - - for(i=0;ideleteClassifier(population[i]); - } - - classifier **tempPop=population; - population = offspringPopulation; - offspringPopulation=tempPop; -} diff --git a/comparison_algs_src/BioHEL/replacement.h b/comparison_algs_src/BioHEL/replacement.h deleted file mode 100644 index d126fbd..0000000 --- a/comparison_algs_src/BioHEL/replacement.h +++ /dev/null @@ -1,8 +0,0 @@ -#ifndef _REPLACEMENT_ -#define _REPLACEMENT_ - -void replacementAlgorithm(); -void totalReplacement(); -void doElitism(); - -#endif diff --git a/comparison_algs_src/BioHEL/sampling.h b/comparison_algs_src/BioHEL/sampling.h deleted file mode 100644 index ba9e252..0000000 --- a/comparison_algs_src/BioHEL/sampling.h +++ /dev/null @@ -1,44 +0,0 @@ -#ifndef _SAMPLING_H_ -#define _SAMPLING_H_ - -#include "random.h" - -extern Random rnd; - -class Sampling { - int maxSize; - int num; - int *sample; - - void initSampling() { - int i; - for(i=0;i - -void geneticAlgorithm::scalingAlgorithm() -{ - int i; - - for(i=0;igetFitness(); - value=identityScaling(value); - population[i]->setScaledFitness(value); - } -} - -double geneticAlgorithm::identityScaling(double value) -{ - double res; - - if(optimizationMethod==MAXIMIZE) res=value; - else res=maxFitness+minFitness-value; - - if(minFitness<0) res-=minFitness; - - return res; -} - diff --git a/comparison_algs_src/BioHEL/scaling.h b/comparison_algs_src/BioHEL/scaling.h deleted file mode 100644 index 3d0dccf..0000000 --- a/comparison_algs_src/BioHEL/scaling.h +++ /dev/null @@ -1,10 +0,0 @@ -#ifndef _SCALING_DEF_ - -#define _SCALING_DEF_ - -void scalingAlgorithm(); -double identityScaling(double valor); - -double maxFitness,minFitness; - -#endif diff --git a/comparison_algs_src/BioHEL/sec-curves4 b/comparison_algs_src/BioHEL/sec-curves4 deleted file mode 100644 index 052e20e..0000000 --- a/comparison_algs_src/BioHEL/sec-curves4 +++ /dev/null @@ -1,186 +0,0 @@ -1.000000 0.199755 -0.666667 0.199755 -0.444444 0.000000 -0.296296 0.000000 -0.197531 0.083557 -0.131687 0.042167 -0.087791 0.008085 -0.058528 0.008064 -0.039018 0.008052 -0.026012 0.035278 -0.017342 0.029373 -0.011561 0.059355 -0.007707 0.060791 -0.005138 0.062500 -0.003425 0.062500 -0.002284 0.062500 -0.001522 0.062500 -0.001015 0.062500 -0.000677 0.062500 -0.000451 0.062500 -0.000301 0.062500 -0.000200 0.062500 -0.000134 0.062500 -0.000089 0.062500 -0.000059 0.062500 -0.000040 0.062500 -0.000026 0.062500 -0.000018 0.062500 -0.000012 0.062500 -0.000008 0.062500 - -1.000000 0.000000 -0.666667 0.000000 -0.444444 0.000000 -0.296296 0.000000 -0.197531 0.000000 -0.131687 0.001907 -0.087791 0.008136 -0.058528 0.015922 -0.039018 0.015906 -0.026012 0.000000 -0.017342 0.000000 -0.011561 0.000000 -0.007707 0.000000 -0.005138 0.000000 -0.003425 0.000000 -0.002284 0.000000 -0.001522 0.000000 -0.001015 0.000000 -0.000677 0.000000 -0.000451 0.000000 -0.000301 0.000000 -0.000200 0.000000 -0.000134 0.000000 -0.000089 0.000000 -0.000059 0.000000 -0.000040 0.000000 -0.000026 0.000000 -0.000018 0.000000 -0.000012 0.000000 -0.000008 0.000000 - -1.000000 0.117805 -0.666667 0.117805 -0.444444 0.117805 -0.296296 0.000000 -0.197531 0.000000 -0.131687 0.077129 -0.087791 0.020262 -0.058528 0.027250 -0.039018 0.080648 -0.026012 0.005234 -0.017342 0.004662 -0.011561 0.000000 -0.007707 0.000000 -0.005138 0.000000 -0.003425 0.000000 -0.002284 0.000000 -0.001522 0.000000 -0.001015 0.000000 -0.000677 0.000000 -0.000451 0.000000 -0.000301 0.000000 -0.000200 0.000000 -0.000134 0.000000 -0.000089 0.000000 -0.000059 0.000000 -0.000040 0.000000 -0.000026 0.000000 -0.000018 0.000000 -0.000012 0.000000 -0.000008 0.000000 - -1.000000 0.000000 -0.666667 0.000000 -0.444444 0.000000 -0.296296 0.000000 -0.197531 0.006816 -0.131687 0.000000 -0.087791 0.037798 -0.058528 0.005519 -0.039018 0.005851 -0.026012 0.108376 -0.017342 0.032124 -0.011561 0.005482 -0.007707 0.002025 -0.005138 0.000000 -0.003425 0.000000 -0.002284 0.000000 -0.001522 0.000000 -0.001015 0.000000 -0.000677 0.000000 -0.000451 0.000000 -0.000301 0.000000 -0.000200 0.000000 -0.000134 0.000000 -0.000089 0.000000 -0.000059 0.000000 -0.000040 0.000000 -0.000026 0.000000 -0.000018 0.000000 -0.000012 0.000000 -0.000008 0.000000 - -1.000000 0.078798 -0.666667 0.078798 -0.444444 0.078798 -0.296296 0.078798 -0.197531 0.000148 -0.131687 0.040099 -0.087791 0.006777 -0.058528 0.024842 -0.039018 0.098320 -0.026012 0.098642 -0.017342 0.000000 -0.011561 0.000000 -0.007707 0.000000 -0.005138 0.000000 -0.003425 0.000000 -0.002284 0.000000 -0.001522 0.000000 -0.001015 0.000000 -0.000677 0.000000 -0.000451 0.000000 -0.000301 0.000000 -0.000200 0.000000 -0.000134 0.000000 -0.000089 0.000000 -0.000059 0.000000 -0.000040 0.000000 -0.000026 0.000000 -0.000018 0.000000 -0.000012 0.000000 -0.000008 0.000000 - -1.000000 0.000000 -0.666667 0.000000 -0.444444 0.000000 -0.296296 0.000000 -0.197531 0.000000 -0.131687 0.000000 -0.087791 0.010304 -0.058528 0.022362 -0.039018 0.079401 -0.026012 0.083333 -0.017342 0.005120 -0.011561 0.004985 -0.007707 0.001848 -0.005138 0.000000 -0.003425 0.000000 -0.002284 0.000000 -0.001522 0.000000 -0.001015 0.000000 -0.000677 0.000000 -0.000451 0.000000 -0.000301 0.000000 -0.000200 0.000000 -0.000134 0.000000 -0.000089 0.000000 -0.000059 0.000000 -0.000040 0.000000 -0.000026 0.000000 -0.000018 0.000000 -0.000012 0.000000 -0.000008 0.000000 - diff --git a/comparison_algs_src/BioHEL/selection.cpp b/comparison_algs_src/BioHEL/selection.cpp deleted file mode 100644 index 7da4611..0000000 --- a/comparison_algs_src/BioHEL/selection.cpp +++ /dev/null @@ -1,67 +0,0 @@ -#include -#include -#include "random.h" -#include "timerEvolutionStats.h" -#include "instanceSet.h" - -extern timerEvolutionStats *tEvolStats; -extern instanceSet *is; - -void geneticAlgorithm::selectionAlgorithm() -{ - scalingAlgorithm(); - - switch (selectionAlg) { - case TOURNAMENT_WOR_SELECTION: - TournamentSelectionWOR(); - break; - case TOURNAMENT_SELECTION: - default: - TournamentSelection(); - break; - } - - for (int i = 0; i < popSize; i++) cf->deleteClassifier(population[i]); - classifier **tempPop=population; - population = offspringPopulation; - offspringPopulation=tempPop; -} - -void geneticAlgorithm::TournamentSelectionWOR(void) -{ - int i, j, winner, candidate; - - Sampling samp(popSize); - for (i = 0; i < popSize; i++) { - //There can be only one - winner=samp.getSample(); - for (j = 1; j < tournamentSize; j++) { - candidate=samp.getSample(); - if(population[candidate]-> - compareToIndividual(population[winner], - optimizationMethod)>0) { - winner = candidate; - } - } - offspringPopulation[i]=cf->cloneClassifier(population[winner]); - } -} - -void geneticAlgorithm::TournamentSelection(void) -{ - int i, j, winner, candidate; - - for (i = 0; i < popSize; i++) { - //There can be only one - winner=rnd(0,popSize-1); - for (j = 1; j < tournamentSize; j++) { - candidate=rnd(0,popSize-1); - if(population[candidate]-> - compareToIndividual(population[winner], - optimizationMethod)>0) { - winner = candidate; - } - } - offspringPopulation[i]=cf->cloneClassifier(population[winner]); - } -} diff --git a/comparison_algs_src/BioHEL/selection.h b/comparison_algs_src/BioHEL/selection.h deleted file mode 100644 index 54d9f4f..0000000 --- a/comparison_algs_src/BioHEL/selection.h +++ /dev/null @@ -1,32 +0,0 @@ -#ifndef _SELECTION_ -#define _SELECTION_ - -void selectionAlgorithm(); - -void TournamentSelectionWOR(); -int selectNicheWOR(int *quotas,int num); -int selectCandidateWOR(JVector &pool,int whichNiche); -void initPool(JVector &pool,int whichNiche); - -void TournamentSelection(); -int selectNiche(int *quotas,int num); -int selectCandidate(int niche); - -double ParetoOrder(double *a, double *b); -void ParetoSwap(double *a, double *b); -void ParetoQSort(double **objectives, int left, int right); -double ParetoDistance(double *a, double *b); -double ParetoSharing(double val); -void ParetoElitistTournament(double *paretoAvals); -double *ParetoFitness(double **objectives,JVector&front,JVector&elitismGap,int step); -void ParetoSelection(void); -void ScaleObjectives(double **objectives,int num); - -JVector oldBests; -JVector oldFront; -int selectionAlg; -int tournamentSize; -int showFronts; - - -#endif diff --git a/comparison_algs_src/BioHEL/timeManagement.cpp b/comparison_algs_src/BioHEL/timeManagement.cpp deleted file mode 100644 index be868dc..0000000 --- a/comparison_algs_src/BioHEL/timeManagement.cpp +++ /dev/null @@ -1,66 +0,0 @@ -#include "timeManagement.h" - -#include -#include -#include -#include -#include -#include -#include "messageBuffer.h" - -extern messageBuffer mb; - -using namespace std; - -timeManagement::timeManagement() -{ - initialTimeT=currentTimeT(); - initialTimeG=currentTimeG(); -} - -void timeManagement::resetTime() -{ - initialTimeT=currentTimeT(); -} - -timeManagement::~timeManagement() -{ - mb.printf("Total time: %g %g\n",totalTimeT(),totalTimeG()); -} - -double timeManagement::totalTime() -{ - return currentTimeT(); -} - -double timeManagement::totalTimeT() -{ - return currentTimeT()-initialTimeT; -} - -double timeManagement::totalTimeG() -{ - return currentTimeG()-initialTimeG; -} - -double timeManagement::currentTimeT() -{ - struct tms cpu_time; - times(&cpu_time); - return (double)(cpu_time.tms_utime+cpu_time.tms_stime) - /(double)sysconf(_SC_CLK_TCK); -} - -double timeManagement::currentTimeG() -{ - struct timeval tv; - - if(gettimeofday(&tv,NULL)==-1) { - perror("gettimeoday failed"); - exit(1); - } - return (double)tv.tv_sec+(double)tv.tv_usec/1000000.0; -} - - - diff --git a/comparison_algs_src/BioHEL/timeManagement.h b/comparison_algs_src/BioHEL/timeManagement.h deleted file mode 100644 index c268884..0000000 --- a/comparison_algs_src/BioHEL/timeManagement.h +++ /dev/null @@ -1,24 +0,0 @@ -#ifndef _GESTIO_TEMPS_H_ -#define _GESTIO_TEMPS_H_ - -#include "JString.h" - - -class timeManagement { - double startTime; - double timeInterval; - double initialTimeT; - double initialTimeG; - - double currentTimeT(); - double currentTimeG(); - double totalTimeG(); - double totalTimeT(); -public: - timeManagement(); - ~timeManagement(); - double totalTime(); - void resetTime(); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerCrossover.cpp b/comparison_algs_src/BioHEL/timerCrossover.cpp deleted file mode 100644 index abd0f58..0000000 --- a/comparison_algs_src/BioHEL/timerCrossover.cpp +++ /dev/null @@ -1,87 +0,0 @@ -#include "timerCrossover.h" -#include -#include "messageBuffer.h" -#include "attributesInfo.h" - -extern messageBuffer mb; -extern attributesInfo ai; - -timerCrossover::timerCrossover() -{ - int i; - - cxOperator = (int) cm.getParameter(CROSSOVER_OPERATOR); - crossoverProb = cm.getParameter(PROB_CROSSOVER); - - if(cxOperator == CROSS_INFORMED) { - int numAtt=ai.getNumAttributes(); - int attMap[numAtt]; - - for(i=0;isizes; - JVectorBBs; - FILE *fp=fopen("cutPoints.dat","r"); - if(fp==NULL) { - fprintf(stderr,"Cannot open cutPoints.dat\n"); - exit(1); - } - fgets(string,999,fp); - while(!feof(fp)) { - char *token; - token=strtok(string," "); - JVector varsBB; - while(token!=NULL) { - int value=atoi(token); - if(value<0 || value>=numAtt) { - fprintf(stderr,"Attribute %d is out of ranges\n",value); - exit(1); - } - if(attMap[value]==1) { - fprintf(stderr,"Attribute %d has already been used\n",value); - exit(1); - } - attMap[value]=1; - varsBB.addElement(value); - token=strtok(NULL," "); - } - - int size=varsBB.size(); - int *bb=new int[size]; - for(i=0;i bestFitness) - newBest = 1; - } else { - if (iterationBestFitness < bestFitness) - newBest = 1; - } - - if (newBest) { - bestFitness = iterationBestFitness; - iterationsSinceBest = 1; - globalIterationsSinceBest = 1; - //mb.printf("Iteration %d, New best fitness\n", - // iteration); - } else { - iterationsSinceBest++; - globalIterationsSinceBest++; - } - } -} - -void timerEvolutionStats::dumpStats(int iteration) -{ - classifier *ind = pw->getBestOverall(); - double aveAcc,devAcc; - pw->getAverageDevAccuracy(aveAcc,devAcc); - - if(doDumpStats || iteration==0) { - mb.printf("It %d,Best ac:%f %f fi:%f." - " Ave ac:%f,%f\n", iteration, ind->getAccuracy() - ,ind->getAccuracy2(),ind->getFitness(),aveAcc,devAcc); - } - - bestOfIteration(iteration, ind->getFitness(), ind->getAccuracy()); -} diff --git a/comparison_algs_src/BioHEL/timerEvolutionStats.h b/comparison_algs_src/BioHEL/timerEvolutionStats.h deleted file mode 100644 index 84e8b74..0000000 --- a/comparison_algs_src/BioHEL/timerEvolutionStats.h +++ /dev/null @@ -1,29 +0,0 @@ -#ifndef _TIMER_EVOLUTION_STATS_H_ -#define _TIMER_EVOLUTION_STATS_H_ - -#include "timingProcess.h" -#include "JVector.h" - -class timerEvolutionStats: public timingProcess { - int maxMin; - int iterationsSinceBest; - int globalIterationsSinceBest; - double bestFitness; - int doDumpStats; - - void bestOfIteration(int iteration,double bestFitness,double bestAcc); - -public: - int getIterationsSinceBest(); - int getGlobalIterationsSinceBest(); - void resetBestStats(); - - timerEvolutionStats(); - ~timerEvolutionStats(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration) {} - void dumpStats(int iteration); - void reinit(); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerGlobals.cpp b/comparison_algs_src/BioHEL/timerGlobals.cpp deleted file mode 100644 index 1195d00..0000000 --- a/comparison_algs_src/BioHEL/timerGlobals.cpp +++ /dev/null @@ -1,87 +0,0 @@ -#include "instanceSet.h" -#include "timerGlobals.h" -#include "timerEvolutionStats.h" -#include "attributesInfo.h" -#include "messageBuffer.h" - -extern messageBuffer mb; - -extern attributesInfo ai; - -timerGlobals::timerGlobals() -{ - minClassifiersInit = - (int) cm.getParameter(INITIALIZATION_MIN_CLASSIFIERS); - maxClassifiersInit = - (int) cm.getParameter(INITIALIZATION_MAX_CLASSIFIERS); - - if (cm.thereIsParameter(IGNORE_MISSING_VALUES)) { - ignoreMissingValues = 1; - } else { - ignoreMissingValues = 0; - } - - if (cm.thereIsParameter(PENALIZE_MIN_SIZE)) { - penalizeMin=(int)cm.getParameter(PENALIZE_MIN_SIZE); - } else { - penalizeMin=0; - } - - defaultClassPolicy=(int)cm.getParameter(DEFAULT_CLASS); - defaultClass=-1; - switch(defaultClassPolicy) { - case MAJOR: - numClasses=ai.getNumClasses()-1; - //defaultClass=0; - defaultClass=ai.getMostFrequentClass(); - break; - case MINOR: - numClasses=ai.getNumClasses()-1; - //defaultClass=0; - defaultClass=ai.getLeastFrequentClass(); - break; - case FIXED: - numClasses=ai.getNumClasses()-1; - defaultClass=(int)cm.getParameter(FIXED_DEFAULT_CLASS); - break; - case DISABLED: - numClasses=ai.getNumClasses(); - break; - case AUTO: - numClasses=ai.getNumClasses()-1; - break; - - } - - //printf("Default class %d\n",defaultClass); - - elitismEnabled=1; - - smartInit=cm.thereIsParameter(SMART_INIT); - numAttributes=ai.getNumAttributes(); - numAttributesMC=numAttributes-1; - - doTrainAndClean=0; - if(cm.thereIsParameter(RULE_CLEANING_PROB)) { - doTrainAndClean=1; - cleanProb=cm.getParameter(RULE_CLEANING_PROB); - } else { - cleanProb=0; - } - if(cm.thereIsParameter(RULE_GENERALIZING_PROB)) { - doTrainAndClean=1; - generalizingProb=cm.getParameter(RULE_GENERALIZING_PROB); - } else { - generalizingProb=0; - } - - numRepetitionsLearning=(int)cm.getParameter(REPETITIONS_RULE_LEARNING); -} - -void timerGlobals::newIteration(int iteration,int lastIt) -{ -} - -void timerGlobals::dumpStats(int iteration) -{ -} diff --git a/comparison_algs_src/BioHEL/timerGlobals.h b/comparison_algs_src/BioHEL/timerGlobals.h deleted file mode 100644 index d481398..0000000 --- a/comparison_algs_src/BioHEL/timerGlobals.h +++ /dev/null @@ -1,32 +0,0 @@ -#ifndef _TIMER_GLOBAL_H_ -#define _TIMER_GLOBAL_H_ - -#include "timingProcess.h" - -class timerGlobals: public timingProcess { -public: - int minClassifiersInit; - int maxClassifiersInit; - int penalizeMin; - int ignoreMissingValues; - int numClasses; - int defaultClass; - int defaultClassPolicy; - int elitismEnabled; - int smartInit; - double probOne; - int numAttributes; - int numAttributesMC; - int doTrainAndClean; - double cleanProb; - double generalizingProb; - int numRepetitionsLearning; - - - timerGlobals(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerHierar.cpp b/comparison_algs_src/BioHEL/timerHierar.cpp deleted file mode 100644 index f6af9b0..0000000 --- a/comparison_algs_src/BioHEL/timerHierar.cpp +++ /dev/null @@ -1,38 +0,0 @@ -#include "timerHierar.h" -#include "messageBuffer.h" - -extern messageBuffer mb; - -timerHierar::timerHierar() -{ - if (!cm.thereIsParameter(HIERARCHICAL_SELECTION_ITERATION)) { - enabled=0; - activated=0; - return; - } - enabled=1; - - useMDL=cm.thereIsParameter(HIERARCHICAL_SELECTION_USES_MDL); - threshold = cm.getParameter(HIERARCHICAL_SELECTION_THRESHOLD); - startIteration=(int)cm.getParameter(HIERARCHICAL_SELECTION_ITERATION); - if(startIteration==0) activated=1; - else activated=0; -} - -void timerHierar::reinit() -{ - if(enabled) { - if(startIteration==0) activated=1; - else activated=0; - } -} - -void timerHierar::newIteration(int iteration,int lastIteration) -{ - if(!enabled) return; - - if(iteration==startIteration) { - activated=1; - mb.printf("Iteration %d:Hierarchical selection activated\n",iteration); - } -} diff --git a/comparison_algs_src/BioHEL/timerHierar.h b/comparison_algs_src/BioHEL/timerHierar.h deleted file mode 100644 index 9659a76..0000000 --- a/comparison_algs_src/BioHEL/timerHierar.h +++ /dev/null @@ -1,21 +0,0 @@ -#ifndef _TIMER_HIERAR_H_ -#define _TIMER_HIERAR_H_ - -#include "timingProcess.h" - -class timerHierar: public timingProcess { - int startIteration; - int enabled; -public: - int useMDL; - double threshold; - double activated; - - timerHierar(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration) {} - void reinit(); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerMDL.cpp b/comparison_algs_src/BioHEL/timerMDL.cpp deleted file mode 100644 index 3184392..0000000 --- a/comparison_algs_src/BioHEL/timerMDL.cpp +++ /dev/null @@ -1,181 +0,0 @@ -#include "instanceSet.h" -#include "timerMDL.h" -#include "attributesInfo.h" -#include "timerEvolutionStats.h" -#include "populationWrapper.h" -#include "utils.h" -#include "messageBuffer.h" -#include "agentPerformanceTraining.h" - -extern messageBuffer mb; - -extern timerEvolutionStats *tEvolStats; -extern attributesInfo ai; -extern instanceSet *is; - -timerMDL::timerMDL() { - - if (!(cm.getParameter(FITNESS_FUNCTION) == MDL)) { - mdlAccuracy = 0; - return; - } - mdlAccuracy = 1; - - startIteration = (int) cm.getParameter(MDL_ITERATION); - if (!startIteration) - startIteration++; - - mdlWeightRelaxFactor = cm.getParameter(MDL_WEIGHT_RELAX_FACTOR); - - initialTheoryLenghtRatio = cm.getParameter(MDL_INITIAL_TL_RATIO); - fixedWeight = 0; - activated = 0; - iterationMDL = 0; - - if (cm.thereIsParameter(MDL_WEIGHT)) { - fixedWeight = 1; - mdlWeight = cm.getParameter(MDL_WEIGHT); - } - - coverageBreaks = new double[ai.getNumClasses()]; - adjustCovBreak(cm.getParameter(COVERAGE_BREAKPOINT)); - -} - -void timerMDL::adjustCovBreak(double cov) -{ - int i; - - coverageBreak = cov; - coverageRatio = cm.getParameter(COVERAGE_RATIO); - int nc = ai.getNumClasses(); - for (i = 0; i < nc; i++) { -// coverageBreaks[i]=coverageBreak; - coverageBreaks[i] = coverageBreak / (double) ai.getInstancesOfClass(i) - * (double) is->getNumInstances(); - if (coverageBreaks[i] > 1) { - coverageBreaks[i] = 1; - } - mb.printf("Coverage break for class %d : %f\n", i, coverageBreaks[i]); - } -} - - -void timerMDL::reinit() { - fixedWeight = 0; - activated = 0; - iterationMDL = 0; - - if (cm.thereIsParameter(MDL_WEIGHT)) { - fixedWeight = 1; - mdlWeight = cm.getParameter(MDL_WEIGHT); - } -} - -void timerMDL::newIteration(int iteration, int lastIteration) { - if (!mdlAccuracy) - return; - int updateWeight = 0; - iterationMDL++; - - if (iteration == startIteration) { - mb.printf("Iteration %d:MDL fitness activated\n", iteration); - activated = 1; - if (!fixedWeight) { - classifier *ind1 = pw->getBestPopulation(); - double error = ind1->getExceptionsLength(); - double theoryLength = ind1->getTheoryLength(); - mb.printf("Error %f TL %f\n", error, theoryLength); - if (error == 0) { - mdlWeight = 0.1; - fixedWeight = 1; - } else { - mdlWeight = (initialTheoryLenghtRatio / (1 - - initialTheoryLenghtRatio)) * (error / theoryLength); - } - } - updateWeight = 1; - } - - if (activated && !fixedWeight) { - if (pw->getBestPopulation()->getExceptionsLength() != 0) { - if (tEvolStats->getIterationsSinceBest() == 10) { - mdlWeight *= mdlWeightRelaxFactor; - updateWeight = 1; - } - } - } - - if (updateWeight) { - tEvolStats->resetBestStats(); - mb.printf("MDL Theory Length Weight: %.10f (%d)\n", mdlWeight, - tEvolStats->getGlobalIterationsSinceBest()); - pw->activateModifiedFlag(); - } -} - -void timerMDL::dumpStats(int iteration) { - if (mdlAccuracy && activated) { - //classifier *ind1 = pw->getBestPopulation(); - //mb.printf("Iteration %d,MDL Stats: %f %f %f\n", iteration, - // ind1->getTheoryLength() * mdlWeight, - // ind1->getExceptionsLength(), - // ind1->getTheoryLength() * mdlWeight / - // ind1->getFitness()); - } -} - -double timerMDL::mdlFitness(classifier & ind, agentPerformanceTraining * ap) { - double mdlFitness = 0; - if (activated) { - //printf("Valor mdlFitness %f", mdlFitness); - mdlFitness = ind.getTheoryLength() * mdlWeight; - } - - double exceptionsLength; - if (ap->getNumPos() == 0) { - exceptionsLength = 2; - } else { - double acc = 1 - ap->getAccuracy2(); - int cl = ind.getClass(); - ind.setRecall(ap->getRecall()); - ind.setCoverage(ap->getCoverage()); - double cov = ap->getRecall(); - - ind.setRecall(cov); - - if (cov < coverageBreaks[cl] / 3) { - cov = 0; - } else { - if (coverageBreaks[cl] < 1) { - if (cov < coverageBreaks[cl]) { - cov = coverageRatio * cov / coverageBreaks[cl]; - } else { -// if(cov>coverageBreaks[cl]*5) cov=coverageBreaks[cl]*5; -// cov=coverageRatio+(1-coverageRatio)*(cov-coverageBreaks[cl])/(1-coverageBreaks[cl]); - - - if(cov>coverageBreaks[cl]*3) cov=coverageBreaks[cl]*3; - if(cov>1) cov=1; - cov = coverageRatio + (1 - coverageRatio) * (cov - - coverageBreaks[cl]) / (1 - coverageBreaks[cl]); - } - } - } - - cov = 1 - cov;// + 3*ind.getSizePercentage(); - ind.setCoverageTerm(cov); - - - exceptionsLength = acc + cov; - //printf("Acc %f Cov %f\n", acc, cov); - } - - ind.setExceptionsLength(exceptionsLength); - - - mdlFitness += exceptionsLength; - return mdlFitness; -} - - diff --git a/comparison_algs_src/BioHEL/timerMDL.h b/comparison_algs_src/BioHEL/timerMDL.h deleted file mode 100644 index 93498b9..0000000 --- a/comparison_algs_src/BioHEL/timerMDL.h +++ /dev/null @@ -1,45 +0,0 @@ -#ifndef _TIMER_MDL_H_ -#define _TIMER_MDL_H_ - -#include "timingProcess.h" - -class agentPerformanceTraining; -class classifier; - -class timerMDL: public timingProcess { - int startIteration; - double mdlWeight; - double mdlWeightRelaxFactor; - double initialTheoryLenghtRatio; - int fixedWeight; - int mdlWeightRelaxStopIteration; - double mdlWeightRelaxStopAccuracy; - int iterationMDL; - -public: - int activated; - int mdlAccuracy; - double coverageBreak; - double coverageRatio; - double *coverageBreaks; - - int numAttsK; - - double mdlFitness(classifier &ind,agentPerformanceTraining *ap); - timerMDL(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); - void adjustCovBreak(double cov); - void adjustCovBreak(double cov, int clas); - -// void adjustNumAttsK(int k); - void reinit(); - - double getCoverageBreak() { - return coverageBreak; - } - -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerMutation.cpp b/comparison_algs_src/BioHEL/timerMutation.cpp deleted file mode 100644 index 5f51f13..0000000 --- a/comparison_algs_src/BioHEL/timerMutation.cpp +++ /dev/null @@ -1,18 +0,0 @@ -#include "timerMutation.h" -#include -#include "messageBuffer.h" - -extern messageBuffer mb; - -timerMutation::timerMutation() -{ - mutationProb = cm.getParameter(PROB_INDIVIDUAL_MUTATION); -} - -void timerMutation::newIteration(int iteration,int lastIteration) -{ -} - -void timerMutation::dumpStats(int iteration) -{ -} diff --git a/comparison_algs_src/BioHEL/timerMutation.h b/comparison_algs_src/BioHEL/timerMutation.h deleted file mode 100644 index 5df3a97..0000000 --- a/comparison_algs_src/BioHEL/timerMutation.h +++ /dev/null @@ -1,17 +0,0 @@ -#ifndef _TIMER_MUTATION_H_ -#define _TIMER_Mutation_H_ - -#include "timingProcess.h" -#include "probabilityManagement.h" - -class timerMutation: public timingProcess { -public: - double mutationProb; - - timerMutation(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerRealKR.cpp b/comparison_algs_src/BioHEL/timerRealKR.cpp deleted file mode 100644 index 5dd8c02..0000000 --- a/comparison_algs_src/BioHEL/timerRealKR.cpp +++ /dev/null @@ -1,361 +0,0 @@ -#include "classifier_hyperrect_list.h" -#include "timerRealKR.h" -#include "timerMDL.h" -#include "attributesInfo.h" -#include "random.h" -#include "messageBuffer.h" -#include -#include "timerGlobals.h" -#include "populationWrapper.h" - -extern messageBuffer mb; - -extern attributesInfo ai; -extern Random rnd; -extern timerMDL *tMDL; -extern timerGlobals *tGlobals; - -timerRealKR::timerRealKR() -{ - if (!cm.thereIsParameter(KR_HYPERRECT)) { - enabled = 0; - return; - } - enabled = 1; - int i,j; - - tGlobals->probOne = cm.getParameter(PROB_ONE); - - int numAtt=ai.getNumAttributesMC(); - int numExpAtt=(int)cm.getParameter(EXPRESSED_ATT_INIT); - if(numExpAtt>numAtt) numExpAtt=numAtt; - probIrr= 1-(double)numExpAtt/(double)numAtt; - mb.printf("Probability of irrelevant attribute set to %f\n",probIrr); - - hyperrectList=cm.thereIsParameter(HYPERRECT_LIST); - if(hyperrectList) { - probGeneralizeList=cm.getParameter(PROB_GENERALIZE_LIST); - probSpecializeList=cm.getParameter(PROB_SPECIALIZE_LIST); - //fitGen = new int [numAtt]; - //fitSpe = new int [numAtt]; - } - - if(!hyperrectList && ai.onlyRealValuedAttributes()) { - mb.printf("Using SSE instructions for intervalar representation\n"); - attPerBlock=4; - sizeBounds=numAtt; - if(sizeBounds%4) { - sizeBounds+=(4-sizeBounds%4); - } - ruleSize=sizeBounds*2+1; - rotateIntervals=cm.thereIsParameter(ROTATE_HYPERRECTANGLES); - if(rotateIntervals) { - numSteps=64; - step0=numSteps/2; - mutSteps=numSteps/4; - stepRatio=M_PI*2/numSteps; - sinTable=new float[numSteps]; - cosTable=new float[numSteps]; - double angle=-M_PI; - for(i=0;i atts1; - JVector atts2; - fgets(string,99,fp); - while(!feof(fp)) { - char *ptr=strtok(string," "); - int att1=atoi(ptr); - ptr=strtok(NULL," "); - int att2=atoi(ptr); - attMap[att1]++; - attMap[att2]++; - - atts1.addElement(att1); - atts2.addElement(att2); - - fgets(string,99,fp); - } - fclose(fp); - - numAngles=atts1.size(); - angleList1 = new int[numAngles]; - angleList2 = new int[numAngles]; - for(i=0;inumAngles) - numUsedAngles=numAngles; - - for(i=0;inumAngles) - numUsedAngles=numAngles; - - for(i=0;i maxDomain) - maxInterval = maxDomain; - - son1 = !rnd * (maxInterval - minInterval) + minInterval; - son2 = !rnd * (maxInterval - minInterval) + minInterval; -} - -void timerRealKR::crossoverSBX(float parent1, float parent2, - float &son1, float &son2, - float minDomain, float maxDomain) -{ - float u, beta; - - u = !rnd; - u *= 0.9999999999; - if (u <= 0.5) { - beta = pow(2 * u, 1.0 / (nOfSBX + 1)); - } else { - beta = pow(1.0 / (2.0 * (1 - u)), 1.0 / (nOfSBX + 1)); - } - - son1 = 0.5 * ((1 + beta) * parent1 + (1 - beta) * parent2); - if (son1 < minDomain) - son1 = minDomain; - if (son1 > maxDomain) - son1 = maxDomain; - - son2 = 0.5 * ((1 - beta) * parent1 + (1 + beta) * parent2); - if (son2 < minDomain) - son2 = minDomain; - if (son2 > maxDomain) - son2 = maxDomain; -} - -void timerRealKR::crossoverFR(float parent1, float parent2, float &son1, - float &son2, float minDomain, - float maxDomain) -{ - float minPare = fmin(parent1, parent2); - float maxPare = fmax(parent1, parent2); - float interval = maxPare - minPare; - - son1 = - crossoverFRp(minPare, maxPare, interval, minDomain, maxDomain); - son2 = - crossoverFRp(minPare, maxPare, interval, minDomain, maxDomain); -} - -float timerRealKR::crossoverFRp(float minPare, float maxPare, - float interval, float minDomain, - float maxDomain) -{ - float centre; - float valor; - - if (!rnd < 0.5) { - centre = minPare; - } else { - centre = maxPare; - } - - if (!rnd < 0.5) { - valor = centre + (!rnd - 1) * dOfFR * interval; - } else { - valor = centre + (1 - !rnd) * dOfFR * interval; - } - if (valor < minDomain) - valor = minDomain; - if (valor > maxDomain) - valor = maxDomain; - - return valor; -} - -float timerRealKR::fmin(float a, float b) -{ - if (a < b) - return a; - return b; -} -float timerRealKR::fmax(float a, float b) -{ - if (a > b) - return a; - return b; -} - -int rankOrderAtt(const void *pA, const void *pB) -{ - rankAtt *a=(rankAtt *)pA; - rankAtt *b=(rankAtt *)pB; - - if(a->count>b->count) return -1; - if(a->countcount) return +1; - return 0; -} - - -void timerRealKR::newIteration(int iteration,int finalIteration) -{ - if (!enabled) - return; - - /*if(hyperrectList) { - int i,j; - - for(i=0;inumAttributesMC;i++) { - fitGen[i]=0; - } - - int numExp=0; - classifier **pop=pw->getPopulation(); - for(i=0;ipopSize;i++) { - classifier_hyperrect_list *ind=(classifier_hyperrect_list *)pop[i]; - for(j=0;jnumAtt;j++) { - int att=ind->whichAtt[j]; - if(!fitGen[att]) numExp++; - fitGen[att]++; - } - } - - for(i=0;inumAttributesMC;i++) { - fitSpe[i]=pw->popSize-fitGen[i]; - } - - //rankAtt attData[tGlobals->numAttributesMC]; - //for(i=0;inumAttributesMC;i++) { - // attData[i].pos=i; - // attData[i].count=fitGen[i]; - //} - //qsort(attData, tGlobals->numAttributesMC,sizeof(rankAtt),rankOrderAtt); - - //mb.printf("It %d,Number of expressed attributes: %d\n",iteration,numExp); - //mb.printf("Rank of attributes\n"); - //for(i=0;inumAttributesMC;i++) { - // printf("Att %s : %d\n",ai.getAttributeName(attData[i].pos)->cstr(),attData[i].count); - //} - }*/ -} diff --git a/comparison_algs_src/BioHEL/timerRealKR.h b/comparison_algs_src/BioHEL/timerRealKR.h deleted file mode 100644 index ccbd82e..0000000 --- a/comparison_algs_src/BioHEL/timerRealKR.h +++ /dev/null @@ -1,93 +0,0 @@ -#ifndef _TIMER_REAL_KR_H_ -#define _TIMER_REAL_KR_H_ - -#include "timingProcess.h" - -typedef struct { - int count; - int pos; -} rankAtt; - -class evaluator { - public: - virtual int evaluate(float *,float)=0; -}; - -class evaluatorReal : public evaluator { - public: - inline int evaluate(float *term,float value) { - return (valueterm[1]); - } -}; - -class evaluatorNominal : public evaluator { - public: - inline int evaluate(float *term,float value) { - return (term[(unsigned char)value]==0); - } -}; - -class timerRealKR: public timingProcess { - int enabled; -public: - int *attributeSize; - int *attributeOffset; - int ruleSize; - float dOfFR; - float alphaOfBLX; - float nOfSBX; - int thereIsSpecialCrossover; - double instanceTheoryLength; - double probSharp; - double probIrr; - double coverageInit; - - evaluator **evaluators; - - int hyperrectList; - int *fitGen; - int *fitSpe; - - double probGeneralizeList; - double probSpecializeList; - - int attPerBlock; - int sizeBounds; - int rotateIntervals; - float *sinTable; - float *cosTable; - float stepRatio; - float *minD,*maxD; - float *sizeD; - int numSteps; - int mutSteps; - int step0; - int numAngles; - int *angleList1; - int *angleList2; - double prob0AngleInit; - double prob0AngleMut; - int numUsedAngles; - int sizeAngles; - - timerRealKR(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); - - void crossoverBLX(float parent1,float parent2,float &son1 - ,float &son2,float minDomain,float maxDomain); - void crossoverSBX(float parent1,float parent2,float &son1,float &son2 - ,float minDomain,float maxDomain); - void crossoverFR(float parent1,float parent2,float &son1,float &son2 - ,float minDomain,float maxDomain); - float crossoverFRp(float minPare,float maxPare,float interval - ,float minDomain,float maxDomain); - - void specialCrossover(float parent1,float parent2,float &son1 - ,float &son2,float minDomain,float maxDomain); - float fmin(float a,float b); - float fmax(float a,float b); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timerSymbolicKR.cpp b/comparison_algs_src/BioHEL/timerSymbolicKR.cpp deleted file mode 100644 index f734cea..0000000 --- a/comparison_algs_src/BioHEL/timerSymbolicKR.cpp +++ /dev/null @@ -1,54 +0,0 @@ -#include "timerSymbolicKR.h" -#include "timerMDL.h" -#include "timerGlobals.h" -#include "attributesInfo.h" -#include "messageBuffer.h" -#include - -extern messageBuffer mb; -extern attributesInfo ai; -extern timerMDL *tMDL; -extern timerGlobals *tGlobals; - -timerSymbolicKR::timerSymbolicKR() -{ - if(cm.thereIsParameter(KR_ADI) || cm.thereIsParameter(KR_INSTANCE_SET) || cm.thereIsParameter(KR_HYPERRECT)) return; - - - if (cm.thereIsParameter(KR_LCS)) { - probSharp = cm.getParameter(PROB_SHARP); - } else { - if(cm.thereIsParameter(PROB_ONE)) { - tGlobals->probOne = cm.getParameter(PROB_ONE); - } else { - int num=ai.getNumAttributesMC(); - int minR=tGlobals->minClassifiersInit; - double nc=ai.getNumClasses(); - tGlobals->probOne=pow(1-pow(nc,-1.0/minR),1.0/num); - if(tGlobals->probOne<0.90) tGlobals->probOne=0.90; - mb.printf("Probability of ONE set to %f\n",tGlobals->probOne); - } - - sizeAttribute = new int[ai.getNumAttributes()]; - offsetAttribute = new int[ai.getNumAttributes()]; - ruleSize = 0; - int i; - for (i = 0; i < ai.getNumAttributesMC(); i++) { - if (ai.getTypeOfAttribute(i) == REAL) { - fprintf(stderr,"This representation cannot handle real-valued attributes\n"); - exit(1); - } else { - sizeAttribute[i] = ai.getNumValuesAttribute(i); - } - offsetAttribute[i] = ruleSize; - ruleSize += sizeAttribute[i]; - } - sizeAttribute[i]=1; - offsetAttribute[i]=ruleSize; - ruleSize++; - } -} - -void timerSymbolicKR::dumpStats(int iteration) -{ -} diff --git a/comparison_algs_src/BioHEL/timerSymbolicKR.h b/comparison_algs_src/BioHEL/timerSymbolicKR.h deleted file mode 100644 index f188c45..0000000 --- a/comparison_algs_src/BioHEL/timerSymbolicKR.h +++ /dev/null @@ -1,20 +0,0 @@ -#ifndef _TIMER_Discret_H_ -#define _TIMER_Discret_H_ - -#include "timingProcess.h" - -class timerSymbolicKR: public timingProcess { - int enabled; -public: - int *sizeAttribute; - int *offsetAttribute; - int ruleSize; - double probSharp; - - timerSymbolicKR(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int lastIteration) {} - void dumpStats(int iteration); -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timersManagement.cpp b/comparison_algs_src/BioHEL/timersManagement.cpp deleted file mode 100644 index 2782fba..0000000 --- a/comparison_algs_src/BioHEL/timersManagement.cpp +++ /dev/null @@ -1,93 +0,0 @@ -#include "timersManagement.h" - -#include "timerGlobals.h" -//#include "timerADI.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerMutation.h" -#include "timerSymbolicKR.h" -#include "timerRealKR.h" -#include "timerEvolutionStats.h" -#include "timerCrossover.h" - -timerGlobals *tGlobals; -timerMDL *tMDL; -timerHierar *tHierar; -//timerADI *tADI; -timerRealKR *tReal; -timerSymbolicKR *tSymbolic; -timerMutation *tMut; -timerCrossover *tCross; -timerEvolutionStats *tEvolStats; - -timersManagement::timersManagement() -{ - iteration = -1; - - tGlobals=new timerGlobals; - //tADI=new timerADI; - tMDL=new timerMDL; - tHierar=new timerHierar; - tReal=new timerRealKR; - tSymbolic=new timerSymbolicKR; - tMut=new timerMutation; - tEvolStats=new timerEvolutionStats; - tCross=new timerCrossover; - - addTimer(tGlobals); - //addTimer(tADI); - addTimer(tHierar); - addTimer(tMDL); - addTimer(tSymbolic); - addTimer(tReal); - addTimer(tMut); - addTimer(tCross); - addTimer(tEvolStats); -} - -timersManagement::~timersManagement() -{ - delete tGlobals; - //delete tADI; - delete tHierar; - delete tMDL; - delete tSymbolic; - delete tReal; - delete tMut; - delete tCross; - delete tEvolStats; -} - - -void timersManagement::incIteration(int lastIteration) -{ - iteration++; - - int i; - for(i=0;inewIteration(iteration,lastIteration); -} - -void timersManagement::reinit() -{ - iteration=-1; - - int i; - for(i=0;ireinit(); -} - - -void timersManagement::dumpStats() -{ - int i; - for(i=0;idumpStats(iteration); -} - -void timersManagement::setPW(populationWrapper *pPW) -{ - int i; - for(i=0;iinitialize(pPW); -} diff --git a/comparison_algs_src/BioHEL/timersManagement.h b/comparison_algs_src/BioHEL/timersManagement.h deleted file mode 100644 index f58f760..0000000 --- a/comparison_algs_src/BioHEL/timersManagement.h +++ /dev/null @@ -1,21 +0,0 @@ -#ifndef _TIMERS_MANAGEMENT_H_ -#define _TIMERS_MANAGEMENT_H_ - -#include "populationWrapper.h" -#include "JVector.h" -#include "timingProcess.h" - -class timersManagement { - JVector timers; - int iteration; -public: - timersManagement(); - ~timersManagement(); - void incIteration(int lastIteration); - void dumpStats(); - void reinit(); - void setPW(populationWrapper *pPW); - void addTimer(timingProcess *tp){timers.addElement(tp);} -}; - -#endif diff --git a/comparison_algs_src/BioHEL/timingProcess.h b/comparison_algs_src/BioHEL/timingProcess.h deleted file mode 100644 index 46fde4c..0000000 --- a/comparison_algs_src/BioHEL/timingProcess.h +++ /dev/null @@ -1,20 +0,0 @@ -#ifndef _TIMING_PROCESS_H_ -#define _TIMING_PROCESS_H_ - -#include "configManagement.h" - -extern configManagement cm; - -class populationWrapper; - -class timingProcess { -protected: - populationWrapper *pw; -public: - virtual void initialize(populationWrapper *pPW)=0; - virtual void newIteration(int iteration,int finalIteration)=0; - virtual void dumpStats(int iteration)=0; - virtual void reinit(){} -}; - -#endif diff --git a/comparison_algs_src/BioHEL/utils.cpp b/comparison_algs_src/BioHEL/utils.cpp deleted file mode 100644 index ca8d0d8..0000000 --- a/comparison_algs_src/BioHEL/utils.cpp +++ /dev/null @@ -1,24 +0,0 @@ -#include -#include -#include -#include "JVector.h" - -double getAverage(JVector &vect) -{ - double ave=0; - int i,size=vect.size(); - - for(i=0;i &vect) -{ - double ave=getAverage(vect),dev=0; - int i,size=vect.size(); - - for(i=0;i&); -double getDeviation(JVector &); - -#endif diff --git a/comparison_algs_src/BioHEL/windowing.h b/comparison_algs_src/BioHEL/windowing.h deleted file mode 100644 index 3c03f66..0000000 --- a/comparison_algs_src/BioHEL/windowing.h +++ /dev/null @@ -1,18 +0,0 @@ -#ifndef _WINDOWING_H_ -#define _WINDOWING_H_ - -#include "instance.h" - -class populationWrapper; - -class windowing { -public: - virtual void setInstances(instance **set,int howMuch)=0; - virtual void newIteration(instance **&selectedInstances,int &howMuch, int &strataOffset)=0; - virtual instance** getStratas()=0; - virtual int numVersions(){return 1;} - virtual int getCurrentVersion(){return 0;} - virtual int needReEval(){return 1;} -}; - -#endif diff --git a/comparison_algs_src/BioHEL/windowingGWS.cpp b/comparison_algs_src/BioHEL/windowingGWS.cpp deleted file mode 100644 index c95668b..0000000 --- a/comparison_algs_src/BioHEL/windowingGWS.cpp +++ /dev/null @@ -1,81 +0,0 @@ -#include "populationWrapper.h" -#include "windowingGWS.h" -#include "configManagement.h" -#include "attributesInfo.h" -#include "random.h" -#include "classifierFitness.h" -#include "messageBuffer.h" - -extern messageBuffer mb; -extern Random rnd; -extern attributesInfo ai; -extern configManagement cm; -extern int nodeRank; - -void windowingGWS::setInstances(instance **pSet,int pHowMuch) -{ - int i; - - set=pSet; - howMuch=pHowMuch; - - numClasses=ai.getNumClasses(); - numStrata=(int)round(cm.getParameter(WINDOWING_GWS)); - instancesOfClass= new instance **[numClasses]; - classSizes = new int[numClasses]; - classQuota = new double[numClasses]; - - int capacity=0; - for(i=0;igetClass(); - instancesOfClass[cls][classSizes[cls]++]=set[i]; - } - - currentIteration=0; -} - -windowingGWS::~windowingGWS() -{ - int i; - - delete classSizes; - delete classQuota; - for(i=0;ihowMuch) { - delete strata; - strata = new instance *[pHowMuch]; - } - } else { - strata = new instance *[pHowMuch]; - } - - set=pSet; - howMuch=pHowMuch; - currentIteration=0; - reorderInstances(); -} - -windowingILAS::windowingILAS() -{ - numStrata=(int)round(cm.getParameter(WINDOWING_ILAS)); - strataSizes = new int[numStrata]; - strataOffsets = new int[numStrata]; - strata=NULL; -} - -windowingILAS::~windowingILAS() -{ - delete strata; - delete strataSizes; - delete strataOffsets; -} - -void windowingILAS::reorderInstances() -{ - int i,j,k; - int nc=ai.getNumClasses(); - - Sampling **samplings = new Sampling *[nc]; - for(i=0;igetClass(); - int str=samplings[cls]->getSample(); - tempStrata[str][countTemp[str]++]=set[i]; - } - - int acum=0; - for(i=0;i&sample); - double realValuedAttributeValidation(int pClass, int attr, JVector< - instance *>&sample); - double statisticalValidation(int pClass, JVector&sample); - -public: - windowingILAS(); - ~windowingILAS(); - void setInstances(instance **set, int howMuch); - void newIteration(instance ** &selectedInstances, int &howMuch, - int &strataOffset); - int needReEval() { - if (numStrata == 1) - return 0; - return 1; - } - int numVersions() { - return numStrata; - } - int getCurrentVersion() { - return stratum; - } - - instance ** getStratas() { - return strata; - } - -}; - -#endif diff --git a/comparison_algs_src/postprocessing/JHashtable.h b/comparison_algs_src/postprocessing/JHashtable.h deleted file mode 100644 index cbde1a3..0000000 --- a/comparison_algs_src/postprocessing/JHashtable.h +++ /dev/null @@ -1,371 +0,0 @@ -/* - This library was downloaded from: http://www.mike95.com - - This library is copyright. It may freely be used for personal purposes - if the restriction listed below is adhered to. - Author: Michael Olivero - Email: mike95@mike95.com - - //=============================== - //Start of Restriction Definition - //=============================== - Anyone can have full use of the library provided they keep this complete comment - with the source. Also I would like to ask if any changes are made to the - code for efficiency reasons, please let me know so I may look into your change and - likewise incorporate it into library. If a suggestion makes it into the library, - your credits will be added to this information. - - Authors of Computer related books are welcome to include this source code as part - of their publishing, provided credit the Author and make note of where the source - code was obtained from: http://www.mike95.com - //============================= - //End of Restriction Definition - //============================= - - Description: - Visit http://www.mike95.com/c_plusplus/classes/JHashtable/ - - This class is a based on the Java JHashtable class and as such contains all the public - member functions of it's Java equivalent. Unlike Java, typecasts are not necessary - since C++ allows template enstatiation of types at compile time. - - Note: Since java has hashItem() as a member of the base Object class, all - Java classes are inheritly hashable. Since the template parameter types do - not necessarily have to have a built in hashing function, the user of the class - must specify a hash function by calling setHashFunction() passing a pointer - to the hash function. - - The has function must be declared as the following: - - UINT function( const KeyType& ); - - Where: - function = any name you choose to use for the function name - KeyType = the type used for the key in the construction of the JHashtable object. - - Example: - UINT myHash( const int& ) - { - //your hashing code here for a key of type int. - } - - - //The following people have contributed to the solution - //of bugs or additional features in this library - //===================================================== - //Jeremy Friesner, email: jaf@chem.ucsd.edu - //Roxana Arama, email:roxanaa@tlc.ro - -*/ -#include "M95_types.h" -#include "JVector.h" - -template -class JHashtable -{ -public: - JHashtable( UINT initialCapacity = 101, float loadFactor = 0.5f ); - virtual ~JHashtable(); - - //Inspectors - //========== - UINT size() const { return m_count; } - bool isEmpty() const { return m_count == 0; } - bool contains( const ObjType& value ) const; - bool containsKey( const KeyType& key ) const; - const ObjType& get( const KeyType& key ); - JVector keys(); - - - //Modifiers - //========= - void rehash(); - ObjType put( const KeyType& key, const ObjType& value ); - ObjType remove( const KeyType& key ); - void clear(); - - //C++ specific user hash function - void setHashFunction( UINT(*func)(const KeyType& key) ) { UserHash = func; } - -private: - //type for Entries - struct JHashtableEntry - { - UINT hash; - KeyType key; - ObjType value; - JHashtableEntry* next; - }; - - //Member variables - UINT m_count; //the size of the elements in the hashtable - UINT m_tableSize; //the size of the table. - UINT m_threshold; - float m_loadFactor; - JHashtableEntry** m_table; - - - //Helper functions - UINT nextPrime( UINT start ); - UINT (*UserHash)( const KeyType& key ); - - ObjType NULL_ITEM; //used for returns of not found - -}; - - -//=============================================================== -//Implementation of constructor, destructor, and member functions -//Necessary location for appropriate template enstantiation. -//=============================================================== -template -JHashtable::JHashtable( UINT initialCapacity, float loadFactor ) -{ - if ( loadFactor <= 0.0 ) - { - cerr << "Bad Argument for loadFactor" << endl; - exit(1); - } - - m_count = 0; - m_tableSize = initialCapacity; - m_loadFactor = loadFactor; - m_threshold = (UINT)(initialCapacity * loadFactor); - - //initialize and set to null - //========================== - m_table = new JHashtableEntry*[m_tableSize]; - for( UINT i = 0; i < m_tableSize; i++ ) - m_table[i] = NULL; - - //nullify the user hash function pointer - UserHash = NULL; -} - -template -JHashtable::~JHashtable( ) -{ - clear(); - delete [] m_table; -} - -template -bool -JHashtable::contains( const ObjType& value ) const -{ - JHashtableEntry** tab = m_table; - for( UINT i = 0; i < m_tableSize; i++ ) - { - for( JHashtableEntry* e = tab[i]; e != NULL; e = e->next ) - { - if ( e->value == value ) - return true; - } - } - - return false; -} - -template -bool -JHashtable::containsKey( const KeyType& key ) const -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - - UINT index = hash % m_tableSize; - - for( JHashtableEntry* e = tab[index]; e != NULL; e = e->next ) - { - if ( e->hash == hash && e->key == key ) - return true; - } - - return false; -} - -template -const ObjType& -JHashtable::get( const KeyType& key ) -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - UINT index = hash % m_tableSize; - - for( JHashtableEntry* e = tab[index]; e != NULL; e = e->next ) - { - if ( e->hash == hash && e->key == key ) - return e->value; - } - - return NULL_ITEM; //if not found -} - -template -void -JHashtable::rehash() -{ - UINT oldTableSize = m_tableSize; - JHashtableEntry** oldTable = m_table; - - UINT newTableSize = nextPrime( 2 * oldTableSize ); - JHashtableEntry** newTable = new JHashtableEntry*[newTableSize]; - UINT i; - for( i = 0; i < newTableSize; i++ ) - newTable[i] = NULL; - - m_threshold = (UINT)(newTableSize * m_loadFactor); - m_table = newTable; - - //copy all the entries from the old to the new table - for( i = 0; i < oldTableSize; i++ ) - { - for( JHashtableEntry* old = oldTable[i]; old != NULL; ) - { - JHashtableEntry* e = old; - old = old->next; - - UINT index = e->hash % newTableSize; - e->next = newTable[index]; - newTable[index] = e; - } - } - - m_tableSize = newTableSize; - - delete [] oldTable; -} - -template -ObjType -JHashtable::put( const KeyType& key, const ObjType& value ) -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - UINT index = hash % m_tableSize; - - //Makes sure the key is not already in the hashtable - //replace item if found - JHashtableEntry* e; - for( e = tab[index]; e != NULL; e = e->next ) - { - if ( (e->hash == hash) && e->key == key ) - { - ObjType old = e->value; - e->value = value; - return old; - } - } - - //Rehash the table if the threshold is exceeded - if ( m_count >= m_threshold ) - { - rehash(); - return put(key, value); - } - - //Creates the new entry here - e = new JHashtableEntry(); - e->hash = hash; - e->key = key; - e->value = value; - e->next = tab[index]; - tab[index] = e; - m_count++; - - return NULL_ITEM; -} - -template -ObjType -JHashtable::remove( const KeyType& key ) -{ - JHashtableEntry** tab = m_table; - UINT hash = (*UserHash)(key); - UINT index = hash % m_tableSize; - - for( JHashtableEntry* e = tab[index], *prev = NULL; e != NULL; prev = e, e = e->next) - { - if ( e->hash == hash && e->key == key ) - { - if ( prev != NULL ) - prev->next = e->next; - else - tab[index] = tab[index]->next; - - ObjType theReturn = e->value; - delete e; - m_count--; //decrement counter - return theReturn; - } - } - - return NULL_ITEM; -} - -template -void -JHashtable::clear() -{ - JHashtableEntry** tab = m_table; - - for(UINT i = 0; i < m_tableSize; i++ ) - { - JHashtableEntry* e = tab[i]; - while( e != NULL ) - { - JHashtableEntry* tmp = e; - e = e->next; - delete tmp; - } - - tab[i] = NULL; - } - - //reset the counter - m_count = 0; -} - -template -UINT -JHashtable::nextPrime( UINT start ) -{ - if( start % 2 == 0 ) - start++; - - UINT i; - - for( ; ; start += 2 ) - { - for( i = 3; i * i <= start; i += 2 ) - if( start % i == 0 ) - break; - - if( i * i > start ) - return start; - } -} - -template -JVector -JHashtable::keys() -{ - JVector results; - - JHashtableEntry** tab = m_table; - - for(UINT i = 0; i < m_tableSize; i++ ) - { - JHashtableEntry* e = tab[i]; - while( e != NULL ) - { - results.addElement(e->key); - e = e->next; - } - } - - return results; -} - - - diff --git a/comparison_algs_src/postprocessing/JString.cpp b/comparison_algs_src/postprocessing/JString.cpp deleted file mode 100644 index 13b1eed..0000000 --- a/comparison_algs_src/postprocessing/JString.cpp +++ /dev/null @@ -1,421 +0,0 @@ - /******************************************* - Downloaded from: http://www.mike95.com - Copyright (c)1997 Michael Olivero - All Rights Reserved - ********************************************/ - #include "JString.h" - #include - #include - #include - #include - -//============ - //Constructors - //============ - JString::JString( const char *Value ) - { - if ( Value == NULL ) - Value = ""; - - GetBuffer( Length = strlen( Value ) ); - strcpy( Buffer, Value ); - } - -JString::JString( const JString &Value ) - { - GetBuffer( Length = Value.Length ); - strcpy( Buffer, Value.Buffer ); - } - -char - JString::charAt( UINT loc ) const - { - return operator[]( loc ); - } - -int - JString::compareTo( const JString &s2 ) const - { - return strcmp( Buffer, s2.Buffer ); - } - -const JString & - JString::concat( const JString &s2 ) - { - return (*this) += s2; - } - -const JString & - JString::operator=( const JString &Rhs ) - { - if ( this == &Rhs ) - return *this; - - if ( Rhs.Length > Length ) - { - delete [] Buffer; - GetBuffer( Rhs.Length ); - } - - Length = Rhs.Length; - strcpy( Buffer, Rhs.Buffer ); - - return *this; - } - -const JString & - JString::operator+=( const char aChar ) - { - if ( Length == BufferLen ) - Double(); - - Buffer[ Length++ ] = aChar; - Buffer[ Length ] = '\0'; - - return *this; - } - -const JString & - JString::operator+=( const JString &other ) - { - Length += other.Length; - if ( Length > BufferLen ) - { - char *temp = Buffer; - GetBuffer( Length ); - strcpy( Buffer, temp ); - delete [] temp; - } - strcat( Buffer, other.Buffer ); - - return *this; - } - - - int - JString::operator==( const JString &Rhs ) const - { - return ( Length == Rhs.Length && strcmp( Buffer, Rhs.Buffer ) == 0 ); - } - -int - JString::operator!=( const JString &Rhs ) const - { - return ( Length != Rhs.length() || strcmp( Buffer, Rhs.cstr() ) != 0 ); - } - -int - JString::operator<( const JString &Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) < 0; - } - -int - JString::operator>( const JString &Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) > 0; - } - -int - JString::operator<=( const JString &Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) <= 0; - } - -int - JString::operator>=( const JString & Rhs ) const - { - return strcmp( Buffer, Rhs.Buffer ) >= 0; - } - -char & - JString::operator[]( UINT Index ) - { - verifyIndex( Index ); - return Buffer[ Index ]; - } - -char - JString::operator[]( UINT Index ) const - { - verifyIndex( Index ); - return Buffer[ Index ]; - } - - - int - JString::endsWith( const JString &s2 ) const - { - if ( Length < s2.Length ) - return 0; - - return strcmp( &Buffer[ Length - s2.Length], s2.cstr() ) == 0; - } - -int - JString::equals( const JString &s2 ) const - { - return ( Length == s2.Length && strcmp( Buffer,s2.Buffer ) == 0 ); - } - - - int - JString::equalsIgnoreCase( const JString &s2 ) const - { - if ( this == &s2 ) - return 1; - else if ( Length != s2.Length ) - return 0; - - return strcmp(toLowerCase().cstr(), s2.toLowerCase().cstr()) == 0; - } - -void - JString::Format( const char* fmt, ... ) - { - va_list iterator; - va_start( iterator, fmt ); - - - va_end( iterator ); - } - - - void - JString::replace( char findChar, char replaceChar ) - { - char* temp = Buffer; - while( temp = strchr( temp, findChar ) ) - *temp = replaceChar; - } - void - JString::replace( const JString& match, const JString& replace ) - { - JString temp = Buffer, newString; - - int loc; - while ( (loc = temp.indexOf( match )) != -1 ) - { - newString += temp.substring( 0, loc ); - newString += replace; - temp = temp.substring( loc + match.Length ); - } - - newString += temp; //get rest of string; - - *this = newString; - } - -int - JString::indexOf( char temp ) const - { - return indexOf( temp, 0 ); - } - -int - JString::indexOf( char ch, UINT fromIndex ) const - { - if ( fromIndex >= Length ) - return -1; - - const char* temp = strchr( &Buffer[fromIndex], ch ); - if ( temp == NULL ) - return -1; - - return temp - Buffer; - } - -int - JString::indexOf( const JString &s2 ) const - { - return indexOf( s2, 0 ); - } - - - int - JString::indexOf( const JString &s2, UINT fromIndex ) const - { - if ( fromIndex >= Length ) - return -1; - - const char *theFind = strstr( &Buffer[ fromIndex ], s2.cstr() ); - - if ( theFind == NULL ) - return -1; - - return theFind - Buffer; //pointer substraction - } - - - -int - JString::lastIndexOf( char theChar ) const - { - return lastIndexOf( theChar, Length - 1 ); - } - -int - JString::lastIndexOf( char ch, UINT fromIndex ) const - { - if ( fromIndex >= Length ) - return -1; - - char tempchar = Buffer[fromIndex + 1]; - Buffer[fromIndex + 1] = '\0'; - char* temp = strrchr( Buffer, ch ); - Buffer[fromIndex + 1] = tempchar; - - if ( temp == NULL ) - return -1; - - return temp - Buffer; - } - -int - JString::lastIndexOf( const JString &s2 ) const - { - return lastIndexOf( s2, Length - s2.Length ); - } - -int - JString::lastIndexOf( const JString &s2, UINT fromIndex ) const - { - //============================= - //avoid check for empty strings - //============================= - if ( s2.Length == 0 || s2.Length - 1 > fromIndex || - fromIndex >= Length ) - return -1; - - //======================== - //matching first character - //======================== - char temp = s2[ 0 ]; - - for ( int i = fromIndex; i >= 0; i-- ) - { - if ( Buffer[ i ] == temp && - (*this).substring( i, i + s2.Length ).equals( s2 ) ) - return i; - } - return -1; - } - -int - JString::startsWith( const JString &s2 ) const - { - if ( Length < s2.Length ) - return 0; - - return startsWith( s2, 0 ); - } - -int - JString::startsWith( const JString &s2, UINT offset ) const - { - if ( offset > Length - s2.Length ) - return 0; - - return strncmp( &Buffer[offset], s2.cstr(), s2.Length ) == 0; - } - -JString - JString::substring( UINT left ) const - { - return substring( left, Length ); - } - -JString - JString::substring( UINT left, UINT right ) const - { - if ( left > right ) - { - int temp = right; - right = left; - left = temp; - } - - if ( right > Length ) - { - cerr << "Index Out Of Bounds Exception w/ substring(" << left - << "," << right << "]:\n" << Buffer << endl; - exit(1); - } - - char temp = Buffer[ right ]; //save the replaced character - Buffer[ right ] = '\0'; //nullify the the character - - JString outPut = ( Buffer + left ); //Pointer arithmetic - - Buffer[ right ] = temp; //restore character - - return outPut; - } - -JString - JString::toLowerCase( ) const - { - JString temp = Buffer; - - for ( UINT i = 0; i < Length; i++ ) - temp.Buffer[ i ] = tolower( temp.Buffer[ i ] ); - - return temp; - } - -JString - JString::toUpperCase() const - { - JString temp = Buffer; - - for ( UINT i = 0; i < Length; i++ ) - temp.Buffer[ i ] = toupper( temp.Buffer[ i ] ); - - return temp; - } - -JString - JString::trim() const - { - JString temp = Buffer; - UINT i,j; - - for ( i = 0; i < Length; i++ ) - { - if ( !isspace(Buffer[i]) ) - break; - } - - for ( j = temp.Length - 1; j > i; j-- ) - { - if ( !isspace(Buffer[j]) ) - break; - } - - return temp.substring( i, j + 1); - } - -istream & - operator >> ( istream &In, JString &Value ) - { - static char Str[ 2048 ]; // allocate max size of 2048 characters - - In >> Str; - - Value = Str; // assign to reference JString - - return In; // Return istream - } - -ostream & - operator << ( ostream &Out, const JString &Value ) - { - Out << Value.Buffer; - return Out; - } - - - - - - diff --git a/comparison_algs_src/postprocessing/JString.h b/comparison_algs_src/postprocessing/JString.h deleted file mode 100644 index 50400f8..0000000 --- a/comparison_algs_src/postprocessing/JString.h +++ /dev/null @@ -1,173 +0,0 @@ - /* - This library was downloaded from: http://www.mike95.com - - This library is copyright. It may freely be used for personal purposes - if the restriction listed below is adhered to. - Author: Michael Olivero - Email: mike95@mike95.com - - //=============================== - //Start of Restriction Definition - //=============================== - Anyone can have full use of the library provided they keep this complete comment - with the source. Also I would like to ask if any changes are made to the - code for efficiency reasons, please let me know so I may look into your change and - likewise incorporate it into library. If a suggestion makes it into the library, - your credits will be added to this information. - - Authors of Computer related books are welcome to include this source code as part - of their publishing, provided credit the Author and make note of where the source - code was obtained from: http://www.mike95.com - //============================= - //End of Restriction Definition - //============================= - - - Description: - Visit http://www.mike95.com/c_plusplus/classes/JString/ - - This library avoids the need to use pointers to char or manual - memory manipulation while working with Strings. This class has been - based on the Java String class, and thus has all of the Java public functionality - with a few extras [replace()] needed for useful functionality. - - //The following people have contributed to the solution - //of bugs or improvements in this library - //===================================================== - //Carl Pupa, [pumacat@erols.com] - //Thomas Watson, [w@tson.dk] - //Subbiah, Venkat [vsubbiah@corvis.com] - //Oren Tirosh [mailto:oren@hishome.net] -*/ - - #ifndef __JString - #define __JString - - #include - #include - #include - #include "M95_types.h" - -using namespace std; - - class JString { - public: - // Constructor(s) / Destructors - //----------------------------- - JString( const char *Value = "" ); - JString( const JString &Value ); - virtual ~JString() { delete [] Buffer; } - - //Operators - //---------- - const JString & operator = ( const JString &Rhs ); - const JString & operator +=( const JString &Rhs ); - const JString & operator +=( const char ); - int operator ==( const JString &Rhs ) const; - int operator !=( const JString &Rhs ) const; - int operator < ( const JString &Rhs ) const; - int operator > ( const JString &Rhs ) const; - int operator <=( const JString &Rhs ) const; - int operator >=( const JString &Rhs ) const; - char operator []( UINT Index ) const; - char& operator []( UINT Index ); - - //Methods - //------- - //INSPECTORS - //========== - char charAt( UINT index ) const; - int compareTo( const JString &anotherString ) const; - const char* cstr( ) const { return Buffer; } - int endsWith( const JString &suffix ) const; - int equals( const JString &anObject ) const; - int equalsIgnoreCase( const JString &anotherString ) const; - int indexOf( char ch ) const; - int indexOf( char ch, UINT fromIndex ) const; - int indexOf( const JString &str ) const; - int indexOf( const JString &str, UINT fromIndex ) const; - int lastIndexOf( char ch ) const; - int lastIndexOf( char ch, UINT fromIndex ) const; - int lastIndexOf( const JString &str ) const; - int lastIndexOf( const JString &str, UINT fromIndex ) const; - UINT length( ) const { return Length; } - int startsWith( const JString &prefix ) const; - int startsWith( const JString &prefix, UINT toffset ) const; - JString substring( UINT beginIndex ) const; - JString substring( UINT beginIndex, UINT endIndex ) const; - JString toLowerCase( ) const; - JString toUpperCase( ) const; - JString trim( ) const; - - //Methods - //------- - //MODIFIERS - //========= - const JString& concat( const JString &str ); - void replace( char oldChar, char newChar ); - void replace( const JString& match, const JString& replace ); - void Format( const char* fmt, ...); - - // Friends - //-------- - friend JString operator + ( JString Lhs, const JString &Rhs ); - friend ostream& operator<< ( ostream &Out, const JString &Value ); - friend istream& operator>> ( istream &In, JString &Value ); - -protected: - //Members - //------- - char *Buffer; // Stores the chars - UINT BufferLen; // Max strlen for Buffer - UINT Length; // Length of string - - void GetBuffer(UINT MaxStrLen); - void Double( ); - void verifyIndex( UINT number ) const; - }; - -//Class Functions - //=============== - inline void - JString::GetBuffer(UINT MaxStrLen) - { - BufferLen = MaxStrLen; - Buffer = new char[BufferLen + 1]; - } - -inline void - JString::Double( ) - { - char *temp = Buffer; - GetBuffer( ++BufferLen * 2 ); - strcpy( Buffer, temp ); - delete [] temp; - } - -inline void - JString::verifyIndex( UINT index ) const - { - if ( index >= Length ) - { - //throw "Index Out Of Bounds Exception"; - cerr << "Index Out Of Bounds Exception at [" - << index << "] in:\n" << Buffer << endl; - exit(1); - } - } - -//Friend Functions - //================ - inline JString - operator+( JString Lhs, const JString &Rhs ) -{ - return Lhs += Rhs; - } - -#endif - - - - - - diff --git a/comparison_algs_src/postprocessing/JString.o b/comparison_algs_src/postprocessing/JString.o deleted file mode 100644 index e995653..0000000 Binary files a/comparison_algs_src/postprocessing/JString.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/JVector.h b/comparison_algs_src/postprocessing/JVector.h deleted file mode 100644 index 8241fce..0000000 --- a/comparison_algs_src/postprocessing/JVector.h +++ /dev/null @@ -1,441 +0,0 @@ -/* - This library was downloaded from: http://www.mike95.com - - This library is copyright. It may freely be used for personal purposes - if the restriction listed below is adhered to. - Author: Michael Olivero - Email: mike95@mike95.com - - //=============================== - //Start of Restriction Definition - //=============================== - Anyone can have full use of the library provided they keep this complete comment - with the source. Also I would like to ask if any changes are made to the - code for efficiency reasons, please let me know so I may look into your change and - likewise incorporate it into library. If a suggestion makes it into the library, - your credits will be added to this information. - - Authors of Computer related books are welcome to include this source code as part - of their publishing, provided credit the Author and make note of where the source - code was obtained from: http://www.mike95.com - //============================= - //End of Restriction Definition - //============================= - - Description: - Visit http://www.mike95.com/c_plusplus/classes/JVector/ - - Standard collection class. It's public member functions - are identical to the Java Vector public member functions (except for any Java specific - Java related functions). - - //The following people have contributed to the solution - //of bugs or additional features in this library - //===================================================== - //Carl Pupa, email: pumacat@erols.com - //Adam Doppelt, email: amd@gurge.com -*/ - -#include -#include -#ifndef _JVECTOR_H_ -#define _JVECTOR_H_ - -#include "M95_types.h" - -using namespace std; - -template -class JVector -{ -public: - JVector( UINT initialCapacity = 100, UINT capacityIncrement = 100 ); - JVector( const JVector& rhv ); - virtual ~JVector(); - - //Inspectors (additional exception throwing inspectors below) - //=========================================================== - UINT capacity() const; - bool contains( const Etype &elem ) const; - const Etype & firstElement() const; - int indexOf( const Etype &elem ) const; - bool isEmpty() const; - const Etype & lastElement() const; - int lastIndexOf( const Etype &elem ) const; - UINT size() const; - void copyInto( Etype* array ) const; - - //Modifiers (additional exception throwing inspectors below) - //========================================================== - void addElement( const Etype &obj ); - void ensureCapacity( UINT minCapacity ); - void removeAllElements(); - bool removeElement( const Etype &obj ); - void setSize( UINT newSize ); - void trimToSize(); - - //Exceptions are thrown at run time with the following functions if - //the index parameter is not within a valid range. If the data - //is uncertain (i.e. user inputed), then you should wrap these function - //calls with the try/catch blocks and handle them appropriately. - //=============================================== - Etype & elementAt( UINT index ) const; //inspector - void insertElementAt( const Etype &obj, UINT index ); //modifier - void removeElementAt( UINT index ); //modifier - void setElementAt( const Etype &obj, UINT index ); //modifier - - - //C++ specific operations - //======================= - const Etype & operator[]( UINT index ) const; - Etype & operator[]( UINT index ); - bool operator ==(const JVector& rhv); - -protected: - int min( UINT left, UINT right ) const; - void verifyIndex( UINT index ) const; - UINT m_size; - UINT m_capacity; - UINT m_increment; - Etype** m_pData; -}; - -//=============================================================== -//Implementation of constructor, destructor, and member functions -//Necessary location for appropriate template enstantiation. -//=============================================================== -template -JVector::JVector( UINT initialCapacity, UINT capacityIncrement ) -{ - m_size = 0; - m_capacity = initialCapacity; - m_pData = new Etype*[ m_capacity ]; - m_increment = capacityIncrement; -} - -template -JVector::JVector( const JVector& rhv ) -{ - m_size = rhv.m_size; - m_capacity = rhv.m_capacity; - m_pData = new Etype*[ m_capacity ]; - m_increment = rhv.m_increment; - - for( UINT i = 0; i < m_size; i++ ) - { - m_pData[i] = new Etype( *(rhv.m_pData[i]) ); - } -} - -template -JVector::~JVector() -{ - removeAllElements(); - delete [] m_pData; -} - -template -UINT -JVector::capacity() const -{ - return m_capacity; -} - -template -bool -JVector::contains( const Etype &elem ) const -{ - for ( UINT i = 0; i < m_size; i++ ) - { - if ( *m_pData[i] == elem ) - return true; - } - - return false; -} - -template -void -JVector::copyInto( Etype* array ) const -{ - for( UINT i = 0; i < m_size; i++ ) - array[i] = *m_pData[i]; -} - - -template -Etype & -JVector::elementAt( UINT index ) const -{ - verifyIndex( index ); - return *m_pData[index]; -} - -template -const Etype & -JVector::firstElement() const -{ - if ( m_size == 0 ) - { - //throw "Empty JVector Exception"; - cerr << "firstElement() called on empty JVector" << endl; - exit(1); - } - - return *m_pData[ 0 ]; -} - -template -int -JVector::indexOf( const Etype &elem ) const -{ - for ( UINT i = 0; i < m_size; i++ ) - { - if ( *m_pData[ i ] == elem ) - return i; - } - - return -1; -} - -template -bool -JVector::isEmpty() const -{ - return m_size == 0; -} - -template -const Etype & -JVector::lastElement() const -{ - if ( m_size == 0 ) - { - //throw "Empty JVector Exception" - cerr << "lastElement() called on empty JVector" << endl; - exit(1); - } - - return *m_pData[ m_size - 1 ]; -} - -template -int -JVector::lastIndexOf( const Etype &elem ) const -{ - //check for empty vector - if ( m_size == 0 ) - return -1; - - UINT i = m_size; - - do - { - i -= 1; - if ( *m_pData[i] == elem ) - return i; - - } - while ( i != 0 ); - - return -1; -} - -template -UINT -JVector::size() const -{ - return m_size; -} - -template -void -JVector::addElement( const Etype &obj ) -{ - if ( m_size == m_capacity ) - ensureCapacity( m_capacity + m_increment ); - - m_pData[ m_size++ ] = new Etype( obj ); -} - -template -void -JVector::ensureCapacity( UINT minCapacity ) -{ - if ( minCapacity > m_capacity ) - { - UINT i; - m_capacity = minCapacity; - - Etype** temp = new Etype*[ m_capacity ]; - - //copy all the elements over upto newsize - for ( i = 0; i < m_size; i++ ) - temp[i] = m_pData[i]; - - delete [] m_pData; - m_pData = temp; - } -} - -template -void -JVector::insertElementAt( const Etype &obj, UINT index ) -{ - verifyIndex( index ); //this will throw if true - - if ( m_size == m_capacity ) - ensureCapacity( m_capacity + m_increment); - - Etype* newItem = new Etype(obj); //pointer to new item - Etype* tmp; //temp to hold item to be moved over. - - for( UINT i = index; i <= m_size; i++ ) - { - tmp = m_pData[i]; - m_pData[i] = newItem; - - if ( i != m_size ) - newItem = tmp; - else - break; - } - - m_size++; -} - -template -void -JVector::removeAllElements() -{ - //avoid memory leak - for ( UINT i = 0; i < m_size; i++ ) - delete m_pData[i]; - - m_size = 0; -} - -template -bool -JVector::removeElement( const Etype &obj ) -{ - for ( UINT i = 0; i < m_size; i++ ) - { - if ( *m_pData[i] == obj ) - { - removeElementAt( i ); - return true; - } - } - - return false; -} - -template -void -JVector::removeElementAt( UINT index ) -{ - verifyIndex( index ); - - delete m_pData[ index ]; - - for ( UINT i = index+1; i < m_size; i++ ) - m_pData[ i - 1 ] = m_pData[ i ]; - - m_size--; -} - -template -void -JVector::setElementAt( const Etype &obj, UINT index ) -{ - verifyIndex( index ); - - *m_pData[ index ] = obj; -} - -template -void -JVector::setSize( UINT newSize ) -{ - if ( newSize > m_capacity ) - ensureCapacity( newSize ); - else if ( newSize < m_size ) - { - for( UINT i = newSize; i < m_size; i++ ) - delete m_pData[i]; - - m_size = newSize; - } -} - -template -void -JVector::trimToSize() -{ - if ( m_size != m_capacity ) - { - Etype** temp = new Etype*[ m_size ]; - UINT i; - - for ( i = 0; i < m_size; i++ ) - temp[i] = m_pData[i]; - - delete [] m_pData; - - m_pData = temp; - m_capacity = m_size; - } -} - -template -int -JVector::min( UINT left, UINT right ) const -{ - return left < right ? left : right; -} - -template -void -JVector::verifyIndex( UINT index ) const -{ - if ( index >= m_capacity ) - { - throw "Index Out Of Bounds"; - //cerr << "Index Out Of Bounds"; - exit(1); - } -} - -template -bool -JVector::operator==( const JVector& rhv) -{ - int i; - - if(m_size!=rhv.m_size) return false; - - for(i=0;i -const Etype & -JVector::operator[]( UINT index ) const -{ - return elementAt( index ); -} - -template -Etype & -JVector::operator[]( UINT index ) -{ - verifyIndex( index ); - return *m_pData[ index ]; -} - -#endif diff --git a/comparison_algs_src/postprocessing/M95_types.h b/comparison_algs_src/postprocessing/M95_types.h deleted file mode 100644 index 85d7d23..0000000 --- a/comparison_algs_src/postprocessing/M95_types.h +++ /dev/null @@ -1,16 +0,0 @@ -#ifndef TYPES_H -#define TYPES_H - -typedef unsigned int UINT; - -#ifndef _WIN32 -#define bool int -#define false 0 -#define true 1 -#endif - - -#endif - - - diff --git a/comparison_algs_src/postprocessing/Makefile b/comparison_algs_src/postprocessing/Makefile deleted file mode 100644 index ab4898d..0000000 --- a/comparison_algs_src/postprocessing/Makefile +++ /dev/null @@ -1,89 +0,0 @@ -# ----------------------------- -# Postprocess (CPU-only) Makefile -# ----------------------------- - -EXEC := postprocess - -CXX := g++ -LEX := flex - -# Legacy-friendly settings (closest to old GCC 4.x era behavior) -CXXFLAGS := -O3 -fPIC -std=gnu++98 - -# If your legacy code needs extra permissiveness, uncomment: -# CXXFLAGS += -fpermissive -# CXXFLAGS += -Wno-narrowing -Wno-deprecated -Wno-write-strings - -LDFLAGS := -LDLIBS := - -# ----------------------------- -# Objects -# ----------------------------- -OBJS := random.o classifier_gabil.o classifier_hyperrect_list.o classifierFitness.o \ - postprocessingOper.o instanceSet.o \ - lex.yy.o instance.o timeManagement.o JString.o populationWrapper.o \ - timersManagement.o ga.o factory.o attributesInfo.o timerHierar.o \ - timerMDL.o timerSymbolicKR.o timerRealKR.o agentPerformance.o utils.o \ - timerGlobals.o timerMutation.o timerEvolutionStats.o windowingILAS.o \ - timerCrossover.o classifier_hyperrect.o mtwist.o \ - agentPerformanceTraining.o classifier_hyperrect_sse.o \ - classifier_rotated_hyperrect.o windowingGWS.o \ - classifier_hyperrect_list_real.o classifier_hyperrect_list_discrete.o \ - main.o - -# ----------------------------- -# Default target -# ----------------------------- -.PHONY: all -all: $(EXEC) - -# ----------------------------- -# Link -# ----------------------------- -$(EXEC): $(OBJS) - $(CXX) $(LDFLAGS) -o $@ $(OBJS) $(LDLIBS) - -# ----------------------------- -# Compile rules -# ----------------------------- -%.o: %.cpp - $(CXX) $(CXXFLAGS) -c $< -o $@ - -%.o: %.c - $(CXX) $(CXXFLAGS) -c $< -o $@ - -# ----------------------------- -# Flex rule (regenerates lex.yy.cpp and compiles it) -# ----------------------------- -lex.yy.o: lex.yy.cpp configManagement.h dictionary.h configCodes.h \ - JVector.h M95_types.h attributesInfo.h JString.h instance.h random.h \ - mt19937ar-cok.h lex_conf.l - $(LEX) -i -olex.yy.cpp lex_conf.l - $(CXX) $(CXXFLAGS) -c lex.yy.cpp -o lex.yy.o - -lex.yy.cpp: lex_conf.l - $(LEX) -i -olex.yy.cpp lex_conf.l - -# ----------------------------- -# Dependency generation (optional) -# ----------------------------- -.PHONY: dep -dep: - $(CXX) -MM $(CXXFLAGS) *.cpp > .depend - --include .depend - -# ----------------------------- -# Install -# ----------------------------- -.PHONY: install -install: $(EXEC) - cp $(EXEC) $(HOME)/bin - -# ----------------------------- -# Clean -# ----------------------------- -.PHONY: clean -clean: - rm -f *.o core $(EXEC) lex.yy.cpp .depend diff --git a/comparison_algs_src/postprocessing/MakefileOld b/comparison_algs_src/postprocessing/MakefileOld deleted file mode 100644 index eda5b6f..0000000 --- a/comparison_algs_src/postprocessing/MakefileOld +++ /dev/null @@ -1,57 +0,0 @@ -SUFFIX= -EXEC=postprocess - - -OBJS=random.o classifier_gabil.o classifier_hyperrect_list.o classifierFitness.o postprocessingOper.o \ - instanceSet.o \ - lex.yy.o instance.o timeManagement.o JString.o populationWrapper.o \ - timersManagement.o ga.o factory.o attributesInfo.o timerHierar.o \ - timerMDL.o timerSymbolicKR.o timerRealKR.o agentPerformance.o utils.o \ - timerGlobals.o timerMutation.o timerEvolutionStats.o windowingILAS.o \ - timerCrossover.o classifier_hyperrect.o mtwist.o \ - agentPerformanceTraining.o classifier_hyperrect_sse.o \ - classifier_rotated_hyperrect.o windowingGWS.o \ - classifier_hyperrect_list_real.o classifier_hyperrect_list_discrete.o - - -#CFLAGS=-O3 -m64 -march=opteron -#CFLAGS=-O3 -march=athlon-mp -#CFLAGS=-O3 -march=nocona -#CFLAGS=-O3 -march=pentium4 -CFLAGS=-O3 - - -LDFLAGS=-fPIC -CC=g++ -LEX=flex - -default: biohel - - -biohel: ${OBJS} main.o - ${CC} ${LDFLAGS} ${OBJS} main.o -o postprocess - - -install: ${EXEC} - cp ${EXEC} ${HOME}/bin - -dep: - ${CC} -MM ${CFLAGS} *.cpp > .depend - -.cpp.o: - ${CC} ${CFLAGS} -c $< - -.c.o: - ${CC} ${CFLAGS} -c $< - - -clean: - rm -f *.o core ${EXEC} - -lex.yy.o: lex.yy.cpp configManagement.h dictionary.h configCodes.h \ - JVector.h M95_types.h \ - attributesInfo.h JString.h instance.h random.h mt19937ar-cok.h lex_conf.l - ${LEX} -i -olex.yy.cpp lex_conf.l - ${CC} ${CFLAGS} -c lex.yy.cpp - -include .depend diff --git a/comparison_algs_src/postprocessing/README b/comparison_algs_src/postprocessing/README deleted file mode 100644 index 679817e..0000000 --- a/comparison_algs_src/postprocessing/README +++ /dev/null @@ -1,68 +0,0 @@ -************************************** -* University of Nottingham * -* Maria Franco * -* mxf@cs.nott.ac.uk * -* Date: June 11th, 2012. * -************************************** - - -Post-processing Operators for Decision Lists - -1.- Installation - -To compile the code run the following comands: - -$ touch .depend -$ make dep -$ make - -2.- Configuration file - -Inside the compress file there is an example configuration file named "test-pp.conf". This file should be modified by the user depending on the operator or the combination of operators the user wants to use. The system allows up to 6 operators concatenated one after the other. - -To specify an operator in the configuration file use the following line: - -operator {position} policy {oper-type} - -Position: allows numbers from 1 to 6 -Policy: allows the following values: - - CL: Non-conservative cleaning - CL2: Conservative cleaning - PR: Pruning - SW: Rule swapping - NONE: Skip - -Also in the configuration file it is possible to specify which statistics should be dumped to the stardard output by changing the following lines - -trainset stats enabled {option} -testset stats enabled {option} - -The options are: - START: Generates statistics before applying the operators - END: Generates statistics after applying the operators - ALL: Generates statistics before and after. - -Commenting these lines stops the system from generating the respective statistics. - -3.- To run the code over a final ruleset, execute the following comand: - -./postprocessing test-pp.conf [Test set] - -The test set is optional. Not including will stop the system from calculating statistics with it. - -4.- Example - -The folder example/ inside the tar file contains and example training set, test set and ruleset to test our implementation over the Adult problem taken from the UCI repository. Both the training set and the test set should be in WEKA format. The ruleset should have the attributes in the rules separated with "|" and expressed as follows: - -Continuous: - Att {att-name} is [{lower-bound},{upper-bound}] - -Discrete: - Att {att-name} is {valuea},{valueb},{valuec} - -5.- Contact - -For any questions or comments regarding this implementation please contact mxf@cs.nott.ac.uk. - - diff --git a/comparison_algs_src/postprocessing/agentPerformance.cpp b/comparison_algs_src/postprocessing/agentPerformance.cpp deleted file mode 100644 index da566cd..0000000 --- a/comparison_algs_src/postprocessing/agentPerformance.cpp +++ /dev/null @@ -1,171 +0,0 @@ -#include "agentPerformance.h" -#include "timerGlobals.h" -#include "timerHierar.h" -#include "timerMDL.h" -#include "classifier.h" -#include "messageBuffer.h" - -extern timerGlobals *tGlobals; -extern timerMDL *tMDL; -extern timerHierar *tHierar; -extern messageBuffer mb; - -agentPerformance::agentPerformance(int pNumClassifiers,int pNumClasses) -{ - numClasses=pNumClasses; - numClassifiers=pNumClassifiers; - - numInstancesOK = 0; - numInstancesKO = 0; - numInstancesNC = 0; - numInstancesTotal = 0; - aliveClassifiers=0; - - int i, j; - statisticsForEachClass = new int *[numClasses]; - statisticsConfusionMatrix = new int *[numClasses]; - for (i = 0; i < numClasses; i++) { - statisticsConfusionMatrix[i] = new int[numClasses]; - statisticsForEachClass[i] = new int[3]; - } - - - classifierActivated = new int[numClassifiers]; - classifierCorrect = new int[numClassifiers]; - classifierWrong = new int[numClassifiers]; - for (i = 0; i < numClassifiers; i++) { - classifierActivated[i] = 0; - classifierCorrect[i] = 0; - classifierWrong[i] = 0; - } - - for (i = 0; i < numClasses; i++) { - for (j = 0; j < numClasses; j++) - statisticsConfusionMatrix[i][j] = 0; - for (j = 0; j < 3; j++) - statisticsForEachClass[i][j] = 0; - } -} - -void agentPerformance::addPrediction(int realClass,int predictedClass - ,int usedClassifier) -{ - numInstancesTotal++; - if(usedClassifier!=-1) { - if(!classifierActivated[usedClassifier]) { - aliveClassifiers++; - } - classifierActivated[usedClassifier]++; - statisticsConfusionMatrix[realClass][predictedClass]++; - if (predictedClass == realClass) { - numInstancesOK++; - statisticsForEachClass[realClass][0]++; - classifierCorrect[usedClassifier]++; - } else { - classifierWrong[usedClassifier]++; - numInstancesKO++; - statisticsForEachClass[realClass][1]++; - } - } else { - numInstancesNC++; - statisticsForEachClass[realClass][2]++; - } -} - -void agentPerformance::dumpStatsBrief() -{ - int i,j; - - mb.printf("Accuracy : %f\n", numInstancesOK / numInstancesTotal); - for (i = 0; i < numClasses; i++) mb.printf("%d\t", i); - mb.printf("\n"); - for (i = 0; i < numClasses; i++) { - for (j = 0; j < numClasses; j++) - mb.printf("%d\t", statisticsConfusionMatrix[i][j]); - mb.printf("\n"); - } -} - -void agentPerformance::dumpStats2() -{ - int i; - for (i = 0; i < numClassifiers; i++) - mb.printf("Accuracy of rule %d:%f/%d\n", i, - (double)classifierCorrect[i]/(double)classifierActivated[i] - ,classifierActivated[i]); -} - - -void agentPerformance::dumpStats(const char *prefix) -{ - int i,j; - - mb.printf("%s accuracy : %f\n", prefix, - numInstancesOK / numInstancesTotal); - - mb.printf("%s error : %f\n", prefix, - numInstancesKO / numInstancesTotal); - mb.printf("%s not classified : %f\n", prefix, - numInstancesNC / numInstancesTotal); - mb.printf("%s For each class:\n", prefix); - for (i = 0; i < numClasses; i++) { - mb.printf("%d: accuracy : %d\n", i, statisticsForEachClass[i][0]); - mb.printf("%d: error : %d\n", i, statisticsForEachClass[i][1]); - mb.printf("%d: not classified : %d\n", i, - statisticsForEachClass[i][2]); - } - - mb.printf("%s Confusion Matrix. Row real class, Column predicted class\n" - , prefix); - for (i = 0; i < numClasses; i++) mb.printf("%d\t", i); - mb.printf("\n"); - for (i = 0; i < numClasses; i++) { - for (j = 0; j < numClasses; j++) - mb.printf("%d\t", statisticsConfusionMatrix[i][j]); - mb.printf("\n"); - } - - mb.printf("Performance of each classifier:\n"); - for (i = 0; i < numClassifiers; i++) - mb.printf("Classifier %d: %d/%d=%f%c\n", i, classifierCorrect[i], - classifierActivated[i], (double) classifierCorrect[i] / - (double) classifierActivated[i] * 100.0, '%'); -} - -agentPerformance::~agentPerformance() -{ - delete classifierActivated; - delete classifierCorrect; - delete classifierWrong; - - int i; - for (i = 0; i < numClasses; i++) { - delete statisticsConfusionMatrix[i]; - } - delete statisticsConfusionMatrix; - - for (i = 0; i < numClasses; i++) { - delete statisticsForEachClass[i]; - } - delete statisticsForEachClass; -} - -double agentPerformance::getAverageActivation() -{ - /*int num=numClassifiers; - int i; - double count=0; - - if(tGlobals->defaultClassPolicy!=DISABLED) num--; - for(i=0;i=3) count++; - } - //count/=(double)num; - - return count;*/ - double actDR=0; - if(tGlobals->defaultClassPolicy!=DISABLED) - actDR=classifierActivated[numClassifiers-1]; - return (numInstancesTotal-numInstancesNC-actDR)/numInstancesTotal; -} - diff --git a/comparison_algs_src/postprocessing/agentPerformance.h b/comparison_algs_src/postprocessing/agentPerformance.h deleted file mode 100644 index 6a65f68..0000000 --- a/comparison_algs_src/postprocessing/agentPerformance.h +++ /dev/null @@ -1,63 +0,0 @@ -#ifndef _AGENT_PERFORMANCE_H_ -#define _AGENT_PERFORMANCE_H_ - -class classifier; - -class agentPerformance { - int numClassifiers; - int numClasses; - - double numInstancesOK; - double numInstancesKO; - double numInstancesNC; - double numInstancesTotal; - int **statisticsForEachClass; - int **statisticsConfusionMatrix; - int *classifierActivated; - int *classifierCorrect; - int *classifierWrong; - int aliveClassifiers; - -public: - agentPerformance(int pNumClassifiers,int pNumClasses); - ~agentPerformance(); - void addPrediction(int realClass,int predictedClass,int usedClassifier); - inline double getAccuracy() { return numInstancesOK/numInstancesTotal; } - inline double getError(){return numInstancesKO/numInstancesTotal;} - inline double getNC(){return numInstancesNC/numInstancesTotal;} - inline int getNumError(){return (int)numInstancesKO;} - inline int getNumNC(){return (int)numInstancesNC;} - inline int getActivationsOfClassifier(int classifier) { - return classifierActivated[classifier]; - } - int getCorrectPredictionsOfClassifier(int classifier) { - return classifierCorrect[classifier]; - } - double getAccOfClassifier(int classifier) { - return (double)classifierCorrect[classifier] - /(double)classifierActivated[classifier]; - } - void dumpStats(const char *prefix); - void dumpStats2(); - void dumpStatsBrief(); - int getAliveClassifiers(){return aliveClassifiers;} - double getAverageActivation(); - void disableClassifier(int classifier) { - classifierActivated[classifier]=0; - } - - double getLSacc(int classifier) { - if(classifierActivated[classifier]==0) return 0; - double acc=getAccOfClassifier(classifier); - double laplaceAcc=(classifierCorrect[classifier]+1.0) - /(classifierActivated[classifier]+numClasses); - return (accmdlAccuracy) { - ind.computeTheoryLength(); - fitness=tMDL->mdlFitness(ind,this); - } else { - //fitness=2*(numInstancesTotal-numInstancesKO)+numInstancesOK; //+ind.getCoverageRatio(); - //fitness=getAccuracy2(); - fitness=getFMeasure(); - fitness*=fitness; - } - - return fitness; -} diff --git a/comparison_algs_src/postprocessing/agentPerformanceTraining.h b/comparison_algs_src/postprocessing/agentPerformanceTraining.h deleted file mode 100644 index 65e9228..0000000 --- a/comparison_algs_src/postprocessing/agentPerformanceTraining.h +++ /dev/null @@ -1,79 +0,0 @@ -#ifndef _AGENT_PERFORMANCE_TRAINING_H_ -#define _AGENT_PERFORMANCE_TRAINING_H_ - -class classifier; - -#include - -class agentPerformanceTraining { - int ruleClass; - - //int numInstancesOK; - //int numInstancesKO; - //int numInstancesNC; - - int numInstancesPos; - int numInstancesPosOK; - int numInstancesTotal; - int numInstancesMatched; - -public: - agentPerformanceTraining(int pNumInstances,int pRuleClass); - - inline void addMatch(int realClass,int predictedClass) { - if(realClass==ruleClass) numInstancesPos++; - numInstancesMatched++; - - if (predictedClass == realClass) { - numInstancesPosOK++; - } - } - - inline void addNoMatch(int realClass) { - if(realClass==ruleClass) numInstancesPos++; - } - - inline double getAccuracy() { return (double)numInstancesPosOK/(double)numInstancesTotal; } - //inline double getAccuracy() { return (double)numInstancesOK/(double)numInstancesTotal; } - //inline double getError() { return (double)numInstancesKO/(double)numInstancesTotal; } - //inline double getError2() { - // if(numInstancesOK+numInstancesKO==0) return 0; - // return (double)numInstancesKO/(double)(numInstancesOK+numInstancesKO); - //} - inline double getAccuracy2() { - if(numInstancesMatched==0) return 0; - return (double)numInstancesPosOK/(double)numInstancesMatched; - //if(numInstancesOK+numInstancesKO==0) return 0; - //return (double)numInstancesOK/(double)(numInstancesOK+numInstancesKO); - } - //inline double getCoverage() { return (double)(numInstancesOK+numInstancesKO)/(double)numInstancesTotal;} - inline double getCoverage() { return (double)numInstancesMatched/(double)numInstancesTotal;} - inline double getCoverage2() { return (double)numInstancesPosOK/(double)numInstancesTotal;} - inline int getNumOK() { return numInstancesPosOK;} - inline int getNumPos() { return numInstancesPos;} - inline int getNumMatched() { return numInstancesMatched; } - inline int getNumKO() { return numInstancesMatched-numInstancesPosOK;} - inline int getNumTotal() { return numInstancesTotal;} - inline double getNC(){return (double)(1-numInstancesMatched)/(double)numInstancesTotal;} - inline double getRecall(){ return (double)numInstancesPosOK/(double)numInstancesPos; } - inline double getFMeasure() { - double precision=getAccuracy2(); - double recall=getRecall(); - return 2*precision*recall/(precision+recall); - } - double getFitness(classifier &ind); - - inline void setNumMatched(int i) { - numInstancesMatched = i; - } - - inline void setNumPos(int i) { - numInstancesPos = i; - } - - inline void setNumOK(int i) { - numInstancesPosOK = i; - } -}; - -#endif diff --git a/comparison_algs_src/postprocessing/agentPerformanceTraining.o b/comparison_algs_src/postprocessing/agentPerformanceTraining.o deleted file mode 100644 index fb6b3e4..0000000 Binary files a/comparison_algs_src/postprocessing/agentPerformanceTraining.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/attributesInfo.cpp b/comparison_algs_src/postprocessing/attributesInfo.cpp deleted file mode 100644 index 35cf57b..0000000 --- a/comparison_algs_src/postprocessing/attributesInfo.cpp +++ /dev/null @@ -1,410 +0,0 @@ -#include "attributesInfo.h" -#include -#include "messageBuffer.h" -#include "configManagement.h" -#include - -extern messageBuffer mb; -extern configManagement cm; - -attributesInfo::attributesInfo() -{ - numAttributes=-1; - numExamples=0; - thereAreNominal=thereAreRealValued=0; -} - -void attributesInfo::setNumAttributes(int num) -{ - int i; - - numAttributes=num; - numAttributesMC=num-1; - typeOfAttributes=new int[num]; - valuesOfNominalAttributes=new JVector[num]; - - minDomain=new float[num-1]; - maxDomain=new float[num-1]; - sizeDomain=new float[num-1]; - sizeDomain2=new float[num-1]; - - averageOfAttribute=new float *[num-1]; - deviationOfAttribute=new float *[num-1]; - countNumValuesForRealAttributes=new int *[num-1]; - valueFrequenciesForNominalAttributes=new float **[num-1]; - mostFrequentValueForNominalAttributes=new int *[num-1]; - - for(i=0;i=numAttributes ) { - fprintf(stderr,"Incorrect values at attributesInfo::setTypeOfAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=-1) { - fprintf(stderr,"Already defined type for attribute %d\n",attribute); - exit(1); - } -#endif - - if(attribute=numAttributes) { - fprintf(stderr,"Incorrect value at attributesInfo::insertNominalValue %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::insertNominalValue %d\n",attribute); - exit(1); - } -#endif - - valuesOfNominalAttributes[attribute].addElement(value); -} - -JString *attributesInfo::getNominalValue(int attribute,int value) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes) { - fprintf(stderr,"Incorrect attr at attributesInfo::getNominalValue %d\n",attribute); - exit(1); - } - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::insertNominalValue %d\n",attribute); - exit(1); - } - if(value<0 || value>=valuesOfNominalAttributes[attribute].size()) { - fprintf(stderr,"Incorrect value at attributesInfo::getNominalValue %d\n",value); - exit(1); - } -#endif - - - return valuesOfNominalAttributes[attribute].elementAt(value); -} - - -int attributesInfo::getNumValuesAttribute(int attribute) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute\n",attribute); - exit(1); - } -#endif - - return valuesOfNominalAttributes[attribute].size(); -} - -void attributesInfo::insertInstance(instance *ins) -{ - int i,j,k; - - //First sample - if(!numExamples) { - int numClasses=getNumValuesAttribute(numAttributes-1); - classOfInstances=new int[numClasses]; - for(i=0;igetClass(); - classOfInstances[instanceClass]++; - - if(ins->hasMissingValues()) { - for(i=0;iisMissing(i)) { - if(typeOfAttributes[i]==NOMINAL) { - valueFrequenciesForNominalAttributes - [i][instanceClass] - [ins->valueOfAttribute(i)]++; - } else { - float value=ins->realValueOfAttribute(i); - averageOfAttribute[i][instanceClass]+=value; - deviationOfAttribute[i][instanceClass]+=(value*value); - countNumValuesForRealAttributes[i][instanceClass]++; - if(!numExamples) { - minDomain[i] = maxDomain[i] = value; - } else { - if(valuemaxDomain[i]) - maxDomain[i]=value; - } - sizeDomain[i]=maxDomain[i]-minDomain[i]; - sizeDomain2[i]=sizeDomain[i]/2; - } - } - } - } else { - for(i=0;ivalueOfAttribute(i)]++; - } else { - float value=ins->realValueOfAttribute(i); - averageOfAttribute[i][instanceClass]+=value; - deviationOfAttribute[i][instanceClass]+=(value*value); - countNumValuesForRealAttributes[i][instanceClass]++; - if(!numExamples) { - minDomain[i] = maxDomain[i] = value; - } else { - if(valuemaxDomain[i]) - maxDomain[i]=value; - } - sizeDomain[i]=maxDomain[i]-minDomain[i]; - sizeDomain2[i]=sizeDomain[i]/2; - } - } - } - - numExamples++; -} - -void attributesInfo::calculateAverages() -{ - int i,j,k; - - int numClasses=getNumValuesAttribute(numAttributes-1); - - mostFrequentClass=leastFrequentClass=0; - int numMostFrequent=classOfInstances[0]; - int numLeastFrequent=classOfInstances[0]; - for(i=1;inumMostFrequent) { - mostFrequentClass=i; - numMostFrequent=classOfInstances[i]; - } - if(classOfInstances[i]maxGlob) { - maxGlob=globalFreq[j]; - bestValGlob=j; - } - } - - for(j=0;jmax) { - max=(int)valueFrequenciesForNominalAttributes[i][j][k]; - bestVal=k; - } - } - if(max>0) { - mostFrequentValueForNominalAttributes[i][j]=bestVal; - } else { - mostFrequentValueForNominalAttributes[i][j]=bestValGlob; - } - //printf("Moda de Attribute %d per Classe %d:%d\n", - // i,j,mostFrequentValueForNominalAttributes[i][j]); - for(k=0;k=numAttributes-1) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=REAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } -#endif - - return deviationOfAttribute[attribute][whichClass]; -} - -float attributesInfo::getAverageOfAttribute(int whichClass,int attribute) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes-1) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=REAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } -#endif - - return averageOfAttribute[attribute][whichClass]; -} - -float attributesInfo::getFrequencyOfValueOfAttribute(int whichClass - ,int attribute,int value) -{ - return valueFrequenciesForNominalAttributes[attribute][whichClass][value]; -} - -int attributesInfo::getMostFrequentValueOfAttribute(int whichClass,int attribute) -{ -#ifdef DEBUG - if(attribute<0 || attribute>=numAttributes-1) { - fprintf(stderr,"Incorrect value at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } - - if(typeOfAttributes[attribute]!=NOMINAL) { - fprintf(stderr,"Attribute %d is not nominal at attributesInfo::getNumValuesAttribute %d\n",attribute); - exit(1); - } -#endif - - return mostFrequentValueForNominalAttributes[attribute][whichClass]; -} - -void attributesInfo::setBounds(float *min,float *max) -{ - int i; - - for(i=0;iequals(tmp)) value=i; - } - return value; -} - diff --git a/comparison_algs_src/postprocessing/attributesInfo.h b/comparison_algs_src/postprocessing/attributesInfo.h deleted file mode 100644 index c75bc6e..0000000 --- a/comparison_algs_src/postprocessing/attributesInfo.h +++ /dev/null @@ -1,114 +0,0 @@ -#ifndef _ATTRIBUTES_INFO_H_ -#define _ATTRIBUTES_INFO_H_ - -#include "JString.h" -#include "JVector.h" -#include "instance.h" - -#define NOMINAL 1 -#define ENTER 2 -#define REAL 3 - -class attributesInfo { - int numAttributes; - int numAttributesMC; - int *typeOfAttributes; - float *minDomain,*maxDomain,*sizeDomain,*sizeDomain2; - float **averageOfAttribute; - float **deviationOfAttribute; - int **countNumValuesForRealAttributes; - int *classOfInstances; - float ***valueFrequenciesForNominalAttributes; - int **mostFrequentValueForNominalAttributes; - JVector *valuesOfNominalAttributes; - JVector attributeNames; - int numExamples; - int mostFrequentClass; - int leastFrequentClass; - int thereAreNominal; - int thereAreRealValued; - -public: - attributesInfo(); - void setNumAttributes(int num); - inline int getNumAttributes() {return numAttributes;} - inline int getNumAttributesMC() {return numAttributesMC;} - void setTypeOfAttribute(int attribute,int type); - void insertNominalValue(int attribute,JString *value); - JString *getNominalValue(int attribute,int value); - - void insertAttributeName(JString *name) { - attributeNames.addElement(name); - } - - JString *getAttributeName(int attr) { - return attributeNames.elementAt(attr); - } - - void updateClassCounters(int *counts) { - int i; - int numC=getNumClasses(); - for(i=0;icstr())) return i; - } - return -1; - } - - - int getNumValuesAttribute(int attribute); - int getInstancesOfClass(int pClass) {return classOfInstances[pClass];} - int thereAreNominalAttributes() {return thereAreNominal;} - int thereAreRealValuedAttributes() {return thereAreRealValued;} - int onlyRealValuedAttributes() { - return (thereAreRealValued && !thereAreNominal); - } - int onlyNominalAttributes() { - return (!thereAreRealValued && thereAreNominal); - } - - inline int getMostFrequentClass() {return mostFrequentClass;} - inline int getLeastFrequentClass() {return leastFrequentClass;} - - inline int getNumClasses() - { - return valuesOfNominalAttributes[numAttributes-1].size(); - } - - void insertInstance(instance *i); - - inline int getTypeOfAttribute(int attribute) - { - #ifdef DEBUG - if(attribute<0 || attribute>=numAttributes ) { - fprintf(stderr,"Incorrect values at attributesInfo::getTypeOfAttribute %d\n",attribute); - exit(1); - } - #endif - return typeOfAttributes[attribute]; - } - inline int * getTypeOfAttributes() { - return typeOfAttributes; - } - - - void calculateAverages(); - float getAverageOfAttribute(int whichClass,int attribute); - float getDeviationOfAttribute(int whichClass,int attribute); - int getMostFrequentValueOfAttribute(int whichClass,int attribute); - float getFrequencyOfValueOfAttribute(int whichClass,int attribute,int value); - void setBounds(float *min,float *max); - float getMinDomain(int attribute) {return minDomain[attribute];} - float getMaxDomain(int attribute) {return maxDomain[attribute];} - float getSizeDomain(int attribute) {return sizeDomain[attribute];} - float getSizeDomain2(int attribute) {return sizeDomain2[attribute];} - - int valueOfNominalAttribute(int attribute,char *def); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/attributesInfo.o b/comparison_algs_src/postprocessing/attributesInfo.o deleted file mode 100644 index 3d4f0f5..0000000 Binary files a/comparison_algs_src/postprocessing/attributesInfo.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier.h b/comparison_algs_src/postprocessing/classifier.h deleted file mode 100644 index e098d0a..0000000 --- a/comparison_algs_src/postprocessing/classifier.h +++ /dev/null @@ -1,278 +0,0 @@ -#ifndef _CLASSIFIER_H_ -#define _CLASSIFIER_H_ - -#include "configCodes.h" -#include "attributesInfo.h" -#include "classifierFitness.h" -#include "timerHierar.h" -#include "timerGlobals.h" -#include "timerMDL.h" -#include "random.h" -#include -#include - -extern attributesInfo ai; -extern timerHierar *tHierar; -extern timerGlobals *tGlobals; -extern timerMDL *tMDL; -extern Random rnd; - -class agentPerformanceTraining; - -class classifier { -protected: - int length; // Length of the individual in genes - - double scaledFitness; - - int front; - double exceptionsLength; //For MDL fitness function - double accuracy; - double accuracy2; - double coverage; - double coverageTerm; - double recall; - double previousSpecificity; - - //for pruning purposes - int numInstancesMatched; - int numInstancesPos; - int numInstancesPosOK; - - int numAttributesMC; - double theoryLength; - -public: - - int numAttributes; - double fitness; - int modif; - - inline classifier(char * string); - - inline classifier() { - length = 0; - modif = 1; - } - - inline ~classifier() { - } - - virtual inline void boundsRemovalOperator(){} - - virtual inline int hasRequiredSpecificity() - { - return 0; - } - - inline int getLength(void) { - return length; - } - - inline void fitnessComputation() { - modif = 0; - fitness = classifierFitness(*this); - } - - inline int ** fitnessComputationWithMatchSet(int complete) { - modif = 0; - if(complete) { - return classifierFitnessWithMatchSetComplete(*this); - } - return classifierFitnessWithMatchSet(*this); - - } - - inline void setScaledFitness(double pFitness) { - scaledFitness = pFitness; - } - inline double getFitness(void) { - return fitness; - } - inline void setFitness(double pFit) { - fitness = pFit; - } - inline double getScaledFitness(void) { - return scaledFitness; - } - inline void setAccuracy(double acc) { - accuracy = acc; - } - inline double getAccuracy() { - return accuracy; - } - inline void setAccuracy2(double acc) { - accuracy2 = acc; - } - inline double getAccuracy2() { - return accuracy2; - } - inline void setCoverage(double cov) { - coverage = cov; - } - inline double getCoverage() { - return coverage; - } - - inline void adjustFitness() { - if (tMDL->mdlAccuracy) { - fitness = exceptionsLength; - } - } - - inline double getExceptionsLength() { - return exceptionsLength; - } - inline void setExceptionsLength(double excep) { - exceptionsLength = excep; - } - inline int isModified() { - return modif; - } - inline void activateModified() { - modif = 1; - } - inline double getTheoryLength() { - return theoryLength; - } - - inline double getCoverageTerm() { - return coverageTerm; - } - - inline void setCoverageTerm(double ct) { - coverageTerm = ct; - } - - inline double getRecall() { - return recall; - } - - inline void setRecall(double r) { - recall = r; - } - - inline double getPreviousSpecificity() { - return previousSpecificity; - } - - inline void setPreviousSpecificity(double d) { - previousSpecificity = d; - } - - virtual int getNumAttributesSpecified() { - } - - virtual double getAttributesSpecificity() { - return (double) 1.0 / (double) tGlobals->numAttributesMC; - } - virtual classifier *pruneAttributes() { - } - - virtual classifier *pruneAttributes2(int index) { - } - - virtual int cleanAttributes(int index) { - } - - virtual int cleanAttributes2(int index) { - } - - inline int getNumInstancesMatched() { - return numInstancesMatched; - } - - inline void setNumInstancesMatched(int m) { - numInstancesMatched = m; - } - - inline int getNumInstancesPos() { - return numInstancesPos; - } - - inline void setNumInstancesPos(int m) { - numInstancesPos = m; - } - - inline int getNumInstancesPosOK() { - return numInstancesPosOK; - } - - inline void setNumInstancesPosOK(int m) { - numInstancesPosOK = m; - } - - - virtual int getClass() = 0; - virtual int doMatch(instance * i) = 0; - virtual void dumpPhenotype(char *string) = 0; - virtual void dumpGenotype(char *string) { - } - virtual double computeTheoryLength() = 0; - virtual void includeFrequncies(vector > > * freq) { - } - - // Second parent of CX & the two sons - virtual void crossover(classifier *, classifier *, classifier *) = 0; - - virtual void mutation() = 0; - virtual int numSpecialStages() = 0; - virtual void doSpecialStage(int stage) = 0; - - virtual int hasLocalSearch() - { - return 0; - } - virtual classifier* improveByLocalSearch() - { - return NULL; - } - - virtual void postprocess() { - } - - virtual void initiateEval() { - } - virtual void finalizeEval() { - } - - virtual float calculateDistance(classifier * c) { - } - ; - - virtual int equals(classifier * i2) { - } - - inline int compareToIndividual(classifier * i2, int maxmin) { - if (maxmin == MAXIMIZE) { - if (fitness > i2->fitness) - return +69; - if (fitness < i2->fitness) - return -69; - return 0; - } - if (fitness < i2->fitness) - return +69; - if (fitness > i2->fitness) - return -69; - return 0; - } - - inline int compareToIndividual2(classifier * i2, int maxmin) { - if (maxmin == MAXIMIZE) { - if (fitness > i2->fitness) - return -69; - if (fitness < i2->fitness) - return +69; - return 0; - } - if (fitness < i2->fitness) - return -69; - if (fitness > i2->fitness) - return +69; - return 0; - } - -}; - -#endif diff --git a/comparison_algs_src/postprocessing/classifierFitness.cpp b/comparison_algs_src/postprocessing/classifierFitness.cpp deleted file mode 100644 index 20db282..0000000 --- a/comparison_algs_src/postprocessing/classifierFitness.cpp +++ /dev/null @@ -1,277 +0,0 @@ -#include -#include -#include -#include - -#include "classifier.h" -#include "classifier_aggregated.h" -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMDL.h" -#include "agentPerformance.h" -#include "agentPerformanceTraining.h" -#include "instanceSet.h" -#include "JVector.h" -#include "messageBuffer.h" -#include "factory.h" - -extern attributesInfo ai; -extern instanceSet *is; -extern timerGlobals *tGlobals; -extern timerMDL *tMDL; -extern int lastIteration; -extern messageBuffer mb; -extern int nodeRank; - -using namespace std; - -void classifierStats(classifier_aggregated & ind, instanceSet * is, - const char *typeOfFile) { - int i; - agentPerformance ap(ind.getNumClassifiers(), ai.getNumClasses()); - //instanceSet *is = new instanceSet(instancesFile, TEST); - int numInstances = is->getNumInstancesOfIteration(); - - for (i = 0; i < numInstances; i++) { - instance *ins = is->getInstance(i); - int realClass = ins->getClass(); - int predictedClass = -1; - int whichClassifier = ind.classify(ins); - if (whichClassifier != -1) { - predictedClass = ind.getClass(whichClassifier); - } - ap.addPrediction(realClass, predictedClass, whichClassifier); - } - - ind.setAccuracy(ap.getAccuracy()); - ap.dumpStats(typeOfFile); - //delete is; -} - -int isMajority(classifier & ind) { - int i; - int numInstances = is->getNumInstances(); - instance **instances = is->getAllInstances(); - - int cl = ind.getClass(); - - int nc = ai.getNumClasses(); - int classCounts[nc]; - for (i = 0; i < nc; i++) - classCounts[i] = 0; - - ind.initiateEval(); - - int numPos = 0; - for (i = 0; i < numInstances; i++) { - if (instances[i]->instanceClass == cl) - numPos++; - if (ind.doMatch(instances[i])) { - classCounts[instances[i]->instanceClass]++; - } - } - - ind.finalizeEval(); - - double ratio = (double) classCounts[cl] / (double) numPos; - if (ratio < tMDL->coverageBreaks[cl] / 3) - return 0; - - int max = classCounts[0]; - int posMax = 0; - int tie = 0; - - for (i = 1; i < nc; i++) { - - if (classCounts[i] > max) { - max = classCounts[i]; - posMax = i; - tie = 0; - } else if (classCounts[i] == max) { - tie = 1; - } - } - - return (max > 0 && !tie && posMax == cl); -} - -void classifierBriefTest(classifier_aggregated & ind, instanceSet *is) { - int i; - agentPerformance ap(ind.getNumClassifiers(), ai.getNumClasses()); - int numInstances = is->getNumInstancesOrig(); - instance **instances = is->getOrigInstances(); - - for (i = 0; i < numInstances; i++) { - int predictedClass = -1; - int whichClassifier = ind.classify(instances[i]); - if (whichClassifier != -1) { - predictedClass = ind.getClass(whichClassifier); - } - ap.addPrediction(instances[i]->instanceClass, predictedClass, - whichClassifier); - } - - ap.dumpStatsBrief(); -} - -double classifierFitness(classifier & ind) { - int i; - - int cl = ind.getClass(); - int numInstances = is->getNumInstancesOfIteration(); - agentPerformanceTraining ap(numInstances, cl); - instance **instances = is->getInstancesOfIteration(); - - ind.initiateEval(); - - for (i = 0; i < numInstances; i++) { - if (ind.doMatch(instances[i])) { - ap.addMatch(instances[i]->instanceClass, cl); - } else { - ap.addNoMatch(instances[i]->instanceClass); - } - } - ind.finalizeEval(); - - ind.setAccuracy(ap.getAccuracy()); - ind.setAccuracy2(ap.getAccuracy2()); - ind.setCoverage(ap.getCoverage()); - - ind.setNumInstancesMatched(ap.getNumMatched()); - ind.setNumInstancesPosOK(ap.getNumOK()); - ind.setNumInstancesPos(ap.getNumPos()); - - double fitness = ap.getFitness(ind); - return fitness; -} - -int ** classifierFitnessWithMatchSet(classifier & ind) { - int i; - int numInstances = is->getNumInstancesOfIteration(); - int cl = ind.getClass(); - agentPerformanceTraining ap(numInstances, cl); - instance **instances = is->getInstancesOfIteration(); - - JVector pos; - - ind.initiateEval(); - - for (i = 0; i < numInstances; i++) { - if (ind.doMatch(instances[i])) { - ap.addMatch(instances[i]->instanceClass, cl); - if (instances[i]->instanceClass == cl) - pos.addElement(i); - - } else { - ap.addNoMatch(instances[i]->instanceClass); - } - } - ind.finalizeEval(); - - ind.setAccuracy(ap.getAccuracy()); - ind.setAccuracy2(ap.getAccuracy2()); - ind.setCoverage(ap.getCoverage()); - - //double fitness=ap.getFitness(ind); - - int possize = pos.size(); - int ** res = new int *[2]; - res[0] = new int[possize]; - res[1] = new int[1]; - - for (i = 0; i < possize; i++) { - res[0][i] = pos[i]; - } - - res[1][0] = possize; - - return res; - //pos.clear(); - //neg.clear(); - //return matched; -} - -int ** classifierFitnessWithMatchSetComplete(classifier & ind) { - int i; - int numInstances = is->getNumInstancesOfIteration(); - int cl = ind.getClass(); - agentPerformanceTraining ap(numInstances, cl); - instance **instances = is->getInstancesOfIteration(); - - JVector pos; - JVector neg; - - ind.initiateEval(); - - for (i = 0; i < numInstances; i++) { - if (ind.doMatch(instances[i])) { - ap.addMatch(instances[i]->instanceClass, cl); - if (instances[i]->instanceClass == cl) { - pos.addElement(i); - } else { - neg.addElement(i); - } - - } else { - ap.addNoMatch(instances[i]->instanceClass); - - } - } - ind.finalizeEval(); - - ind.setAccuracy(ap.getAccuracy()); - ind.setAccuracy2(ap.getAccuracy2()); - ind.setCoverage(ap.getCoverage()); - - //double fitness=ap.getFitness(ind); - - int possize = pos.size(); - int negsize = neg.size(); - int ** res = new int *[3]; - res[0] = new int[possize]; - //res[1] = new int[1]; - res[1] = new int[negsize]; - res[2] = new int[2]; - - - for (i = 0; i < possize; i++) { - res[0][i] = pos[i]; - } - - for (i = 0; i < negsize; i++) { - res[1][i] = neg[i]; - } - - - - res[2][0] = possize; - res[2][1] = negsize; - - return res; -} - -agentPerformance calculateAgentPerformance(classifier_aggregated & ind) { - - int i; - agentPerformance ap(ind.getNumClassifiers(), ai.getNumClasses()); - int numInstances = is->getNumInstancesOfIteration(); - - for (i = 0; i < numInstances; i++) { - instance *ins = is->getInstance(i); - int realClass = ins->getClass(); - int predictedClass = -1; - - int whichClassifier = ind.classify(ins); - - if (whichClassifier != -1) { - predictedClass = ind.getClass(whichClassifier); - } - ap.addPrediction(realClass, predictedClass, whichClassifier); - } - - return ap; - -} - - - diff --git a/comparison_algs_src/postprocessing/classifierFitness.h b/comparison_algs_src/postprocessing/classifierFitness.h deleted file mode 100644 index 2629b47..0000000 --- a/comparison_algs_src/postprocessing/classifierFitness.h +++ /dev/null @@ -1,25 +0,0 @@ -#ifndef _CLASSIFIER_FITNESS_H_ - -#define _CLASSIFIER_FITNESS_H_ - -class classifier; -class instance; -class instanceSet; -class classifierFactory; -class classifier_aggregated; -#include "JVector.h" -#include "agentPerformance.h" - -double classifierFitness(classifier & ind); - -void classifierBriefTest(classifier_aggregated &ind, instanceSet *is); -void classifierStats(classifier_aggregated &ind, instanceSet *is, const char *typeOfFile); -void evaluateIndividuals(classifierFactory *cf); -int isMajority(classifier & ind); - -int ** classifierFitnessWithMatchSet(classifier & ind); -int ** classifierFitnessWithMatchSetComplete(classifier & ind); - -agentPerformance calculateAgentPerformance(classifier_aggregated & ind); - -#endif diff --git a/comparison_algs_src/postprocessing/classifierFitness.o b/comparison_algs_src/postprocessing/classifierFitness.o deleted file mode 100644 index 197ea1b..0000000 Binary files a/comparison_algs_src/postprocessing/classifierFitness.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_aggregated.h b/comparison_algs_src/postprocessing/classifier_aggregated.h deleted file mode 100644 index db168e8..0000000 --- a/comparison_algs_src/postprocessing/classifier_aggregated.h +++ /dev/null @@ -1,274 +0,0 @@ -#ifndef _CLASSIFIER_AGGREGATED_ - -#define _CLASSIFIER_AGGREGATED_ - -#include "classifier.h" -#include "classifier_hyperrect_list.h" -#include "JVector.h" -#include "instanceSet.h" -#include "configManagement.h" - -extern configManagement cm; - -class classifier_aggregated { - JVector classifiers; - int defaultClass; - double accuracy; - int defaultClassPolicy; - -public: - - inline classifier_aggregated() { - defaultClassPolicy = (int) cm.getParameter(DEFAULT_CLASS); - switch (defaultClassPolicy) { - case MAJOR: - defaultClass = ai.getMostFrequentClass(); - //defaultClass=0; - break; - case MINOR: - //defaultClass=0; - defaultClass = ai.getLeastFrequentClass(); - break; - case FIXED: - defaultClass = (int) cm.getParameter(FIXED_DEFAULT_CLASS); - break; - case DISABLED: - default: - defaultClass = -1; - break; - } - } - - inline ~classifier_aggregated() { - int i; - - for (i = 0; i < classifiers.size(); i++) - delete classifiers[i]; - } - - inline void readClassifiers(char *file) { - defaultClass = -1; - //JVectortmp; - - FILE *fp = fopen(file, "r"); - if (fp == NULL) { - fprintf(stderr, "Cannot open rule set file %s\n", file); - exit(1); - } - - char string[300000]; - fgets(string, 299999, fp); - while (!feof(fp)) { - string[strlen(string) - 1] = 0; - if (string[strlen(string) - 1] == 13) - string[strlen(string) - 1] = 0; - - if (!strncmp(string, "Default rule -> ", 16)) { - char className[100]; - strcpy(className, &string[16]); - defaultClass = ai.valueOfNominalAttribute( - ai.getNumAttributesMC(), className); - if (defaultClass == -1) { - fprintf(stderr, "Unknown default class %s\n", string); - exit(1); - } - } else { - - //char pheno[200000]; - - classifiers.addElement(new classifier_hyperrect_list(string)); - //classifiers[classifiers.size()-1]->dumpPhenotype(pheno); - //printf("Hey %s",pheno); - } - - fgets(string, 299999, fp); - } - - fclose(fp); - - } - - inline classifier_aggregated clone() { - classifier_aggregated clone; - JVector *vector = new JVector ( - classifiers.size()); - - clone.classifiers = *vector; - for (int i = 0; i < classifiers.size(); i++) { - clone.classifiers.addElement(classifiers[i]); - } - - clone.defaultClass = defaultClass; - clone.defaultClassPolicy = defaultClassPolicy; - clone.accuracy = accuracy; - - return clone; - - } - - inline int getClass(int classifier) { - if (defaultClass != -1 && classifier == classifiers.size()) - return defaultClass; - return classifiers[classifier]->getClass(); - } - - inline int getNumClassifiers() { - int numCL = classifiers.size(); - if (defaultClass != -1) - numCL++; - return numCL; - } - - inline void setDefaultRule(instanceSet *is) { - int i; - - if (defaultClassPolicy != DISABLED) - return; - - int nc = ai.getNumClasses(); - int classCounts[nc]; - for (i = 0; i < nc; i++) - classCounts[i] = 0; - - int numInst = is->getNumInstances(); - instance **instances = is->getAllInstances(); - for (i = 0; i < numInst; i++) { - classCounts[instances[i]->instanceClass]++; - } - - int max = classCounts[0]; - int posMax = 0; - for (i = 1; i < nc; i++) { - if (classCounts[i] > max) { - posMax = i; - max = classCounts[i]; - } - } - - defaultClass = posMax; - } - - inline int classify(instance *ins) { - int i; - - int size = classifiers.size(); - for (i = 0; i < size; i++) { - classifiers[i]->initiateEval(); - if (classifiers[i]->doMatch(ins)) { - classifiers[i]->finalizeEval(); - return i; - }; - classifiers[i]->finalizeEval(); - } - if (defaultClass != -1) - return size; - return -1; - } - - inline double getAccuracy() { - return accuracy; - } - inline void setAccuracy(double acc) { - accuracy = acc; - } - - inline void dumpPhenotype(char *string) { - int i; - char temp[2000000]; - - int size = classifiers.size(); - strcpy(string, ""); - for (i = 0; i < size; i++) { - sprintf(temp, "%d:", i); - strcat(string, temp); - classifiers[i]->dumpPhenotype(temp); - strcat(string, temp); - } - if (defaultClass != -1) { - sprintf(temp, "%d:Default rule -> %s\n", i, ai.getNominalValue( - tGlobals->numAttributesMC, defaultClass)->cstr()); - strcat(string, temp); - } - strcat(string, "\n"); - } - - inline void addClassifier(classifier *cl) { - cl->initiateEval(); - classifiers.addElement(cl); - } - - inline int shake(int init) { - - int size = classifiers.size(); - classifier * c1 = (classifiers[init]); - - float max = 0; - int maxindex = -1; - classifier * maxclass; - for (int i = init + 1; i < size; i++) { - classifier * c2 = (classifiers[i]); - float res = c1->calculateDistance(c2); - - if (max < res) { - max = res; - maxindex = i; - maxclass = c2; - } - } - - printf("Max distance %f\n",max); - if (maxindex > 0) { - classifiers.setElementAt(maxclass, init); - classifiers.setElementAt(c1, maxindex); - } - return maxindex; - } - - inline void revertSwap(int index1, int index2) { - classifier * c1 = classifiers[index1]; - classifier * c2 = classifiers[index2]; - - classifiers.setElementAt(c1, index2); - classifiers.setElementAt(c2, index1); - } - - inline void removeElementAt(int index) { - classifiers.removeElementAt(index); - } - - inline void attributePrunning() { - for (int i = 0; i < classifiers.size(); i++) { - classifiers[i]=classifiers[i]->pruneAttributes(); - } - } - - inline void attributePrunning2() { - printf("Attribute pruning\n"); - for (int i = 0; i < classifiers.size(); i++) { - classifiers[i]=classifiers[i]->pruneAttributes2(i); - } - } - - inline void attributeCleaning() { - printf("Attribute cleaning\n"); - for (int i = 0; i < classifiers.size(); i++) { - int change = classifiers[i]->cleanAttributes(i); - // if (change) - // printf("Changed\n"); - } - } - - inline void attributeCleaning2() { - printf("Attribute cleaning2\n"); - for (int i = 0; i < classifiers.size(); i++) { - int change = classifiers[i]->cleanAttributes2(i); - // if (change) - // printf("Changed2\n"); - } - } - - -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_gabil.cpp b/comparison_algs_src/postprocessing/classifier_gabil.cpp deleted file mode 100644 index 236a1eb..0000000 --- a/comparison_algs_src/postprocessing/classifier_gabil.cpp +++ /dev/null @@ -1,520 +0,0 @@ -#include "classifier_gabil.h" -#include "random.h" -#include -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerSymbolicKR.h" -#include "timerHierar.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerGlobals.h" -#include "instanceSet.h" -#include "sampling.h" - -extern attributesInfo ai; -extern timerSymbolicKR *tSymbolic; -extern timerHierar *tHierar; -extern timerGlobals *tGlobals; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern Random rnd; -extern instanceSet *is; -extern int lastIteration; - -using namespace std; - -double classifier_gabil::computeTheoryLength() -{ - int j, k; - unsigned char *ptr = chromosome; - theoryLength = 0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - int numFalse = 0; - int numValues = tSymbolic->sizeAttribute[j]; - for (k = 0; k < numValues; k++) { - if (!ptr[k]) numFalse++; - } - theoryLength += (double)numFalse/(double)numValues; - ptr+=numValues; - } - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_gabil::classifier_gabil() -{ - int i; - - length = tSymbolic->ruleSize; - chromosome = new unsigned char[length]; - - classifier_gabil::initializeChromosome(); -} - -classifier_gabil:: -classifier_gabil(const classifier_gabil & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new unsigned char[length]; - bcopy(orig.chromosome, chromosome, - length * sizeof(unsigned char)); - } else { - chromosome = NULL; - } -} - -classifier_gabil::~classifier_gabil() -{ - delete chromosome; -} - -void classifier_gabil::gabilRuleCover(unsigned char *rule,instance *ins,double prob) -{ - int j, k; - - unsigned char *ptr=rule; - for (j = 0; j < tGlobals->numAttributesMC; j++) { - int value; - if(ins) value=(unsigned char)ins->realValues[j]; - else value = -1; - for (k = 0; k < tSymbolic->sizeAttribute[j]; k++){ - if(k!=value) { - if (!rnd < prob) ptr[k]=1; - else ptr[k]=0; - } else { - ptr[k]=1; - } - } - ptr+=tSymbolic->sizeAttribute[j]; - } - - if(ins) { - ptr[0]=ins->getClass(); - } else { - int cl; - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED - && cl==tGlobals->defaultClass); - ptr[0]=cl; - } -} - -void classifier_gabil::initializeChromosome() -{ - int i; - - unsigned char *ptr=chromosome; - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - gabilRuleCover(ptr,ins,tGlobals->probOne); -} - -void classifier_gabil::setGene(short int gene, short int value - , unsigned char nfo) -{ - chromosome[tSymbolic->offsetAttribute[gene] + value] = nfo; - modif = 1; -} - -unsigned char classifier_gabil::getGene(short int gene, short int value) -{ - return chromosome[tSymbolic->offsetAttribute[gene] + value]; -} - -void classifier_gabil::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - - switch (tCross->cxOperator) { - case CROSS_INFORMED: - crossover_informed(this, (classifier_gabil *) in, - (classifier_gabil *) out1, - (classifier_gabil *) out2); - break; - case CROSS_2P: - crossover_2px(this, (classifier_gabil *) in, - (classifier_gabil *) out1, - (classifier_gabil *) out2); - break; - case CROSS_1P: - default: - crossover_1px(this, (classifier_gabil *) in, - (classifier_gabil *) out1, - (classifier_gabil *) out2); - } - -} - -void classifier_gabil::mutation() -{ - int i; - int attribute, value; - - // Modificarem el chromosome - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,tSymbolic->sizeAttribute[attribute]-1); - } - - if (attribute != tGlobals->numAttributesMC ) { - if (getGene(attribute, value) == 0) - setGene(attribute, value, 1); - else - setGene(attribute, value, 0); - } else { - int oldValue=getGene(attribute,value); - int newValue; - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while(newValue==oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } -} - -static void swap(int &a, int &b) -{ - int tmp; - - tmp = a; - a = b; - b = tmp; -} - -void classifier_gabil::crossover_2px(classifier_gabil * in1, - classifier_gabil * in2, - classifier_gabil * out1, - classifier_gabil * out2) -{ - out1->modif = out2->modif = 1; - out1->length = tSymbolic->ruleSize; - out2->length = tSymbolic->ruleSize; - out1->chromosome = new unsigned char[tSymbolic->ruleSize]; - out2->chromosome = new unsigned char[tSymbolic->ruleSize]; - - int cutPoint1 = rnd(0, tSymbolic->ruleSize - 1); - int cutPoint2 = rnd(0, tSymbolic->ruleSize - 1); - if (cutPoint1 > cutPoint2) swap(cutPoint1, cutPoint2); - - bcopy(in1->chromosome, out1->chromosome, cutPoint1); - bcopy(in2->chromosome, out2->chromosome, cutPoint1); - - bcopy(&in1->chromosome[cutPoint1], &out2->chromosome[cutPoint1], cutPoint2-cutPoint1); - bcopy(&in2->chromosome[cutPoint1], &out1->chromosome[cutPoint1], cutPoint2-cutPoint1); - - bcopy(&in1->chromosome[cutPoint2], &out1->chromosome[cutPoint2], tSymbolic->ruleSize-cutPoint2); - bcopy(&in2->chromosome[cutPoint2], &out2->chromosome[cutPoint2], tSymbolic->ruleSize-cutPoint2); -} - -void classifier_gabil::dumpPhenotype(char *string) -{ - unsigned char *ptr = chromosome; - char temp[10000]; - char temp2[1000]; - int i, j, k; - - strcpy(string, ""); - unsigned char *ptr2 = ptr; - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - for (k = 0; k < tSymbolic->sizeAttribute[j]; k++) { - if(ptr2[k]) { - sprintf(temp2,"%s,",ai.getNominalValue(j,k)->cstr()); - strcat(temp,temp2); - } else { - irr=0; - } - } - - if(!irr) { - if(temp[strlen(temp) - 1] == ',') - temp[strlen(temp) - 1] = 0; - strcat(string, temp); - strcat(string, "|"); - } - ptr2 += tSymbolic->sizeAttribute[j]; - } - int cl=(int)*ptr2; - sprintf(temp, "%s\n", - ai.getNominalValue(tGlobals->numAttributesMC - , cl)->cstr()); - strcat(string, temp); -} - -void classifier_gabil::crossover_informed(classifier_gabil * in1, - classifier_gabil * in2, - classifier_gabil * out1, - classifier_gabil * out2) { - out1->modif = out2->modif = 1; - out1->length = tSymbolic->ruleSize; - out2->length = tSymbolic->ruleSize; - out1->chromosome = new unsigned char[tSymbolic->ruleSize]; - out2->chromosome = new unsigned char[tSymbolic->ruleSize]; - - int i,j; - - for(i=0;inumBB;i++) { - // Let's choose parent... - if(!rnd<0.5) { - for(j=0;jsizeBBs[i];j++) { - int att=tCross->defBBs[i][j]; - bcopy(&in1->chromosome[tSymbolic->offsetAttribute[att]] - ,&out1->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - bcopy(&in2->chromosome[tSymbolic->offsetAttribute[att]] - ,&out2->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - } - } else { - for(j=0;jsizeBBs[i];j++) { - int att=tCross->defBBs[i][j]; - bcopy(&in1->chromosome[tSymbolic->offsetAttribute[att]] - ,&out2->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - bcopy(&in2->chromosome[tSymbolic->offsetAttribute[att]] - ,&out1->chromosome[tSymbolic->offsetAttribute[att]] - ,sizeof(unsigned char) - *tSymbolic->sizeAttribute[att]); - } - } - } -} - -void classifier_gabil::crossover_1px(classifier_gabil * in1, - classifier_gabil * in2, - classifier_gabil * out1, - classifier_gabil * out2) -{ - int cutPoint; - - out1->modif = out2->modif = 1; - - cutPoint = rnd(0, tSymbolic->ruleSize - 1); - out1->length = tSymbolic->ruleSize; - out2->length = tSymbolic->ruleSize; - - out1->chromosome = new unsigned char[tSymbolic->ruleSize]; - out2->chromosome = new unsigned char[tSymbolic->ruleSize]; - - bcopy(in1->chromosome, out1->chromosome, cutPoint); - bcopy(in2->chromosome, out2->chromosome, cutPoint); - - bcopy(&in1->chromosome[cutPoint], &out2->chromosome[cutPoint], tSymbolic->ruleSize-cutPoint); - bcopy(&in2->chromosome[cutPoint], &out1->chromosome[cutPoint], tSymbolic->ruleSize-cutPoint); -} - -void classifier_gabil::postprocess() -{ - int numInstances = is->getNumInstancesOfIteration(); - int instanceMatched[numInstances]; - - cleanRule(instanceMatched); - generalizeRule(instanceMatched); -} - -void classifier_gabil::generalizeRule(int *instanceMap) -{ - int i,j; - int len=tSymbolic->ruleSize-1; - int countPos[len]; - int countNeg[len]; - JVector *candInst[len]; - int numInstances=is->getNumInstancesOfIteration(); - instance **instances=is->getInstancesOfIteration(); - int exitLoop=0; - int lastRound=0; - - do { - if(lastRound) { - if(lastRound==3) exitLoop=1; - lastRound++; - } - - for(i=0;inumAttributesMC;j++) { - int value=(unsigned char)instances[i]->realValues[j]; - int pos=tSymbolic->offsetAttribute[j]+value; - if(chromosome[pos]==0) { - numMatches++; - whichPos=pos; - if(numMatches>=2) break; - } - } - - if(numMatches==1) { - if(candInst[whichPos]==NULL) { - candInst[whichPos] = new JVector((int)(numInstances*0.1)); - } - candInst[whichPos]->addElement(i); - if(instances[i]->instanceClass==cl) { - countPos[whichPos]++; - } else { - countNeg[whichPos]++; - } - } - } - } - - int max=0; - int bestPos; - if(lastRound) { - for(i=0;imax) { - bestPos=i; - max=diff; - } - } - } else { - for(i=0;imax) { - bestPos=i; - max=countPos[i]; - } - } - } - - if(max>0) { - printf("Best %d %d\n",countPos[bestPos],countNeg[bestPos]); - chromosome[bestPos]=1; - for(i=0;ielementAt(i)]=1; - } - } else { - if(lastRound) exitLoop=1; - else lastRound=1; - //exitLoop=1; - } - - for(i=0;igetNumInstancesOfIteration(); - instance **instances=is->getInstancesOfIteration(); - int i,j,k; - - for(i=0;iruleSize - 1]; - int size=tSymbolic->ruleSize - 1; - int numPossibleCandidates; - int exitLoop=0; - int lastRound=0; - - do { - if(lastRound) { - if(lastRound==3) exitLoop=1; - lastRound++; - } - - int posMatch[size]; - int negMatch[size]; - int candidates[size]; - - for(j=0;jinstanceClass==cl) { - for(k=0;knumAttributesMC;k++) { - int pos=tSymbolic->offsetAttribute[k]+(unsigned char)instances[j]->realValues[k]; - posMatch[pos]++; - candidates[pos]=0; - } - } else { - for(k=0;knumAttributesMC;k++) { - int pos=tSymbolic->offsetAttribute[k]+(unsigned char)instances[j]->realValues[k]; - negMatch[pos]++; - if(!posMatch[pos]) { - candidates[pos]=1; - } - } - } - } else { - instanceMatched[j]=0; - } - } - } - - if(lastRound) { - int posMax; - double maxNeg=1; - - for(j=0;jmaxNeg) { - posMax=j; - maxNeg=negMatch[j]; - } - } - } - - if(maxNeg>-1) { - ptr[posMax]=0; - } else { - if(lastRound) exitLoop=1; - else lastRound=1; - //exitLoop=1; - } - } - - } while(!exitLoop); -} diff --git a/comparison_algs_src/postprocessing/classifier_gabil.h b/comparison_algs_src/postprocessing/classifier_gabil.h deleted file mode 100644 index c55595f..0000000 --- a/comparison_algs_src/postprocessing/classifier_gabil.h +++ /dev/null @@ -1,102 +0,0 @@ -#ifndef _CLASSIFIER_GABIL_ - -#define _CLASSIFIER_GABIL_ - -#include "classifier.h" -#include "agentPerformanceTraining.h" -#include "timerGlobals.h" -#include "timerSymbolicKR.h" - - -extern timerGlobals *tGlobals; -extern timerSymbolicKR *tSymbolic; - -class classifier_gabil: public classifier { - - void crossover_informed(classifier_gabil *in1 - ,classifier_gabil *in2 - ,classifier_gabil *out1 - ,classifier_gabil *out2); - void crossover_1px(classifier_gabil *in1 - ,classifier_gabil *in2 - ,classifier_gabil *out1 - ,classifier_gabil *out2); - void crossover_2px(classifier_gabil *in1,classifier_gabil *in2 - , classifier_gabil *out1 - ,classifier_gabil *out2); - unsigned char getGene(short int gene,short int value); - void setGene(short int gene,short int value - ,unsigned char nfo); - void gabilRuleCover(unsigned char *rule,instance *ins,double prob); - - void initializeChromosome(void); - - void cleanRule(int *instanceMatched); - void generalizeRule(int *instanceMatched); - - - inline virtual void dumpGenotype(char *string) - { - unsigned char *ptr=chromosome; - int i,j,k; - - string[0]=0; - char tmp[tSymbolic->ruleSize+tGlobals->numAttributes]; - int countPos=0; - int dead=0; - for (j=0;jnumAttributesMC && !dead;j++) { - int attDead=1; - for(k=tSymbolic->offsetAttribute[j];koffsetAttribute[j]+tSymbolic->sizeAttribute[j];k++) { - if(ptr[k]==1) attDead=0; - tmp[countPos++]=ptr[k]+'0'; - } - tmp[countPos++]='|'; - if(attDead==1) dead=1; - } - - if(!dead) { - tmp[countPos++]=ptr[tSymbolic->ruleSize-1]+'0'; - tmp[countPos]=0; - strcat(string,tmp); - strcat(string,"\n"); - } - } -public: - unsigned char *chromosome; - - classifier_gabil(); - classifier_gabil(const classifier_gabil &orig,int son=0); - ~classifier_gabil(); - - inline int getClass() { - return (int) chromosome[tSymbolic->ruleSize - 1]; - } - - inline int doMatch(instance *ins) - { - int j; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - if (chromosome[tSymbolic->offsetAttribute[j] - //+ ins->nominalValues[j]] == 0) { - + (unsigned char)ins->realValues[j]] == 0) { - return 0; - } - } - return 1; - } - - double computeTheoryLength(); - - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); - -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_gabil.o b/comparison_algs_src/postprocessing/classifier_gabil.o deleted file mode 100644 index b68756f..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_gabil.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect.cpp b/comparison_algs_src/postprocessing/classifier_hyperrect.cpp deleted file mode 100644 index 871a8e8..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect.cpp +++ /dev/null @@ -1,308 +0,0 @@ -#include "classifier_hyperrect.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect::computeTheoryLength() -{ - int i, j, k; - float *ptr = chromosome; - theoryLength = 0.0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - if (ai.getTypeOfAttribute(j) == REAL) { - float vmin=ptr[0]; - float vmax=ptr[1]; - float size=ai.getSizeDomain(j); - if(vmin0) { - theoryLength += 1.0 - - (vmax-vmin) / size; - } - } else { - double countFalses = 0; - int numValues=tReal->attributeSize[j]; - for(k=0;kattributeSize[j]; - } - - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect::classifier_hyperrect() -{ - length = tReal->ruleSize; - chromosome = new float[tReal->ruleSize]; - - classifier_hyperrect::initializeChromosome(); -} - -classifier_hyperrect::classifier_hyperrect(const classifier_hyperrect & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new float[tReal->ruleSize]; - bcopy(orig.chromosome, chromosome, - tReal->ruleSize * sizeof(float)); - } else { - chromosome = NULL; - } -} - -classifier_hyperrect::~classifier_hyperrect() -{ - delete chromosome; -} - -void classifier_hyperrect::initializeChromosome() -{ - int i, j, k; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - if (ai.getTypeOfAttribute(j) == REAL) { - float min,max; - float sizeD=ai.getSizeDomain(j); - float minD=ai.getMinDomain(j); - float maxD=ai.getMaxDomain(j); - if(!rndprobIrr) { - max=!rnd*sizeD+minD; - min=!rnd*(maxD-max)+max; - } else { - //float size=(!rnd*0.10+0.90)*ai.getSizeDomain(j); - float size=(!rnd*0.5+0.25)*sizeD; - if(ins) { - float val=ins->realValueOfAttribute(j); - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - } - - setGene(j,0,min); - setGene(j,1,max); - } else { - int value; - if(ins) value=ins->valueOfAttribute(j); - else value=-1; - for(k=0;kattributeSize[j];k++) { - if(k!=value) { - if(!rndprobOne) { - setGene(j,k,1); - } else { - setGene(j,k,0); - } - } else { - setGene(j,k,1); - } - } - } - } - - int cl; - if(ins) { - cl=ins->getClass(); - } else { - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && cl==tGlobals->defaultClass); - } - setGene(tGlobals->numAttributesMC, 0, cl); -} - -void classifier_hyperrect::setGene(short int gene, short int value, float nfo) -{ - chromosome[tReal->attributeOffset[gene] + value] = nfo; - modif = 1; -} - -float classifier_hyperrect::getGene(short int gene, short int value) -{ - return chromosome[tReal->attributeOffset[gene] + value]; -} - -void classifier_hyperrect::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect *) in, - (classifier_hyperrect *) out1, - (classifier_hyperrect *) out2); -} - -float classifier_hyperrect::mutationOffset(float geneValue, float offsetMin, - float offsetMax) -{ - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect::mutation() -{ - int i; - int attribute, value; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,tReal->attributeSize[attribute]-1); - } - - if (attribute != tGlobals->numAttributesMC) { - float oldValue=getGene(attribute,value); - if (ai.getTypeOfAttribute(attribute) == REAL) { - float newValue; - float minOffset, maxOffset; - minOffset = maxOffset = - 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(oldValue, minOffset, - maxOffset); - if (newValue < ai.getMinDomain(attribute)) - newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) - newValue = ai.getMaxDomain(attribute); - setGene(attribute, value, newValue); - } else { - if(oldValue==1) setGene(attribute,value,0); - else setGene(attribute,value,1); - } - } else { - int newValue; - int oldValue = (int) getGene(attribute, value); - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } -} - -void classifier_hyperrect::dumpPhenotype(char *string) -{ - float *ptr = chromosome; - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int numIntervals=0; - int i, j, k; - - strcpy(string, ""); - float *ptr2 = ptr; - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - - if (ai.getTypeOfAttribute(j) == REAL) { - float min = ptr2[0]; - float max = ptr2[1]; - float size = ai.getSizeDomain(j); - - float sizeD=max-min; - if(minattributeSize[j];k++) { - if(ptr2[k]) { - sprintf(temp2,"%s,",ai.getNominalValue(j,k)->cstr()); - strcat(temp,temp2); - } else { - irr=0; - } - } - if(temp[strlen(temp) - 1] == ',') temp[strlen(temp) - 1] = 0; - } - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - ptr2 += tReal->attributeSize[j]; - } - int cl=(int) (*ptr2); - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,cl)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect::crossover_1px(classifier_hyperrect * in1, - classifier_hyperrect * in2, - classifier_hyperrect * out1, - classifier_hyperrect * out2) -{ - out1->modif = out2->modif = 1; - - int cutPoint = rnd(0, tReal->ruleSize - 1); - out1->length = tReal->ruleSize; - out2->length = tReal->ruleSize; - out1->chromosome = new float[tReal->ruleSize]; - out2->chromosome = new float[tReal->ruleSize]; - - bcopy(in1->chromosome, out1->chromosome, cutPoint * sizeof(float)); - bcopy(in2->chromosome, out2->chromosome, cutPoint * sizeof(float)); - - bcopy(&in1->chromosome[cutPoint], &out2->chromosome[cutPoint], - (tReal->ruleSize - cutPoint) * sizeof(float)); - bcopy(&in2->chromosome[cutPoint], &out1->chromosome[cutPoint], - (tReal->ruleSize - cutPoint) * sizeof(float)); -} - -void classifier_hyperrect::postprocess() -{ -} - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect.h b/comparison_algs_src/postprocessing/classifier_hyperrect.h deleted file mode 100644 index bcf3c79..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect.h +++ /dev/null @@ -1,77 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_ -#define _CLASSIFIER_HYPERRECT_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect: public classifier { - float *chromosome; - - /* Operadors de crossover i mutation */ - void crossover_1px(classifier_hyperrect *in1,classifier_hyperrect *in2 - ,classifier_hyperrect *out1,classifier_hyperrect *out2); - float getGene(short int attr,short int value); - void setGene(short int attr,short int value,float nfo); - float mutationOffset(float geneValue,float offsetMin,float offsetMax); - void initializeChromosome(void); - -public: - classifier_hyperrect(); - classifier_hyperrect(const classifier_hyperrect &orig,int son=0); - ~classifier_hyperrect(); - - inline int getClass() { - return (int) chromosome[tReal->ruleSize - 1]; - } - - inline void swapD(float &a,float &b) { - float temp=a; - a=b; - b=temp; - } - - - inline int doMatch(instance * ins) - { - float *ptr = chromosome; - int j, match; - int numAtributs = tGlobals->numAttributesMC; - - float *cAtr = ptr; - for (j = 0; j < numAtributs; j++) { - if (ai.getTypeOfAttribute(j) == REAL) { - float valueAtr = ins->realValues[j]; - float min = cAtr[0]; - float max = cAtr[1]; - if (min max))) - return 0; - } else { - int valueAtr = (unsigned char)ins->realValues[j]; - if (cAtr[valueAtr] == 0) { - return 0; - } - } - cAtr += tReal->attributeSize[j]; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect.o b/comparison_algs_src/postprocessing/classifier_hyperrect.o deleted file mode 100644 index 20114d1..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_hyperrect.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list.cpp b/comparison_algs_src/postprocessing/classifier_hyperrect_list.cpp deleted file mode 100644 index 15a4701..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_list.cpp +++ /dev/null @@ -1,1255 +0,0 @@ -#include "classifier_hyperrect_list.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -#include - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect_list::computeTheoryLength() { - int i, j, base; - theoryLength = 0.0; - - float *ptr = predicates; - - for (i = 0; i < numAtt; i++) { - int att = whichAtt[i]; - if (ai.getTypeOfAttribute(att) == REAL) { - float size = ai.getSizeDomain(att); - if (size > 0) { - theoryLength += 1.0 - (ptr[1] - ptr[0]) / size; - } - } else { - double countFalses = 0; - int numValues = tReal->attributeSize[att]; - for (j = 0; j < numValues; j++) { - if (!ptr[j]) - countFalses++; - } - theoryLength += (double) countFalses / (double) numValues; - } - ptr += tReal->attributeSize[att]; - } - theoryLength /= (double) tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_list::classifier_hyperrect_list(char *string) { - //JVector termsList; - - JVector pred; - JVector attributeList; - JVector offsets; - int offset = 0; - char *token; - int numAttributes = ai.getNumAttributesMC(); - char *saveptr1; - - token = strtok_r(string, "|", &saveptr1); - int inloop = 1; - while (inloop && token != NULL) { - if (!strncmp(token, "Att ", 4)) { - char *saveptr2; - char *token2 = strtok_r(token, " ", &saveptr2); - if (token2 == NULL || strcmp(token2, "Att")) { - fprintf(stderr, "Wrong term1 %s\n", token); - exit(1); - } - token2 = strtok_r(NULL, " ", &saveptr2); - if (token2 == NULL) { - fprintf(stderr, "Wrong term2 %s\n", token); - exit(1); - } - int attIndex = ai.getAttributeIndex(token2); - offsets.addElement(offset); - if (attIndex == -1) { - fprintf(stderr, "Unknown attribute name %s\n", token2); - exit(1); - } - attributeList.addElement(attIndex); - token2 = strtok_r(NULL, " ", &saveptr2); - if (token2 == NULL || strcmp(token2, "is")) { - fprintf(stderr, "Wrong term3 %s\n", token); - exit(1); - } - token2 = strtok_r(NULL, " ", &saveptr2); - if (token2 == NULL) { - fprintf(stderr, "Wrong term4 %s\n", token); - exit(1); - } - if (ai.getTypeOfAttribute(attIndex) == REAL) { - //term *realTerm; - offset += 2; - float lb, ub; - if (sscanf(token2, "[%f,%f]", &lb, &ub) == 2) { - pred.addElement(lb); - pred.addElement(ub); - //realTerm = new term1(lb,ub); - } else if (sscanf(token2, "[>%f]", &lb) == 1) { - pred.addElement(lb); - pred.addElement(ai.getMaxDomain(attIndex)); - //realTerm = new term3(lb); - } else if (sscanf(token2, "[<%f]", &ub) == 1) { - pred.addElement(ai.getMinDomain(attIndex)); - pred.addElement(ub); - //realTerm = new term2(ub); - } else { - fprintf(stderr, - "Wrong real prediacte %s for attribute %d\n", - token2, attIndex); - exit(1); - } - //termsList.addElement(realTerm); - } else { - int numValues = ai.getNumValuesAttribute(attIndex); - offset += numValues; - int *predicate = new int[numValues]; - bzero(predicate, numValues * sizeof(int)); - char *saveptr3; - char *token3 = strtok_r(token2, ",", &saveptr3); - while (token3 != NULL) { - int value = ai.valueOfNominalAttribute(attIndex, token3); - if (value == -1) { - fprintf(stderr, "Wrong value %s for attribute %d\n", - token3, attIndex); - exit(1); - } - predicate[value] = 1; - token3 = strtok_r(NULL, ",", &saveptr3); - } - - for (int h = 0; h < numValues; h++) { - pred.addElement((float) predicate[h]); - } - //termsList.addElement(new termNominal(predicate,numValues)); - } - } else { - classValue = ai.valueOfNominalAttribute(ai.getNumAttributesMC(), - token); - if (classValue == -1) { - fprintf(stderr, "Wrong class %s\n", token); - exit(1); - } - inloop = 0; - } - token = strtok_r(NULL, "|", &saveptr1); - } - - numAtt = attributeList.size(); - whichAtt = new int[numAtt]; - //terms = new term *[numAtt]; - - for (int i = 0; i < numAtt; i++) { - int att = attributeList[i]; - whichAtt[i] = att; - } - - ruleSize = pred.size(); - predicates = new float[ruleSize]; - for (int i = 0; i < ruleSize; i++) { - predicates[i] = pred[i]; - } - - offsetPredicates = new int[offsets.size()]; - for (int i = 0; i < offsets.size(); i++) { - offsetPredicates[i] = offsets[i]; - } -} - -classifier_hyperrect_list::classifier_hyperrect_list(int empty) { - classifier_hyperrect_list::initializeChromosome(empty); -} - -classifier_hyperrect_list::classifier_hyperrect_list( - const classifier_hyperrect_list & orig, int son) { - *this = orig; - - if (!son) { - whichAtt = new int[numAtt]; - bcopy(orig.whichAtt, whichAtt, numAtt * sizeof(int)); - - offsetPredicates = new int[numAtt]; - bcopy(orig.offsetPredicates, offsetPredicates, numAtt * sizeof(int)); - - predicates = new float[ruleSize]; - bcopy(orig.predicates, predicates, ruleSize * sizeof(float)); - } else { - whichAtt = NULL; - predicates = NULL; - offsetPredicates = NULL; - } -} - -classifier_hyperrect_list::~classifier_hyperrect_list() { - delete whichAtt; - delete predicates; - delete offsetPredicates; -} - -void classifier_hyperrect_list::initializeChromosome(int empty) { - int i, j, base; - - instance *ins = NULL; - if (tGlobals->smartInit) { - if (tGlobals->defaultClassPolicy != DISABLED) { - ins = is->getInstanceInit(tGlobals->defaultClass); - } else { - ins = is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize = 0; - if (!empty) { - for (i = 0; i < tGlobals->numAttributesMC; i++) { - if (!rnd >= tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize += tReal->attributeSize[i]; - } - } - } - - if (!empty) { - if (ins) { - classValue = ins->getClass(); - } else { - do { - classValue = rnd(0, ai.getNumClasses() - 1); - } while (tGlobals->defaultClassPolicy != DISABLED - && classValue == tGlobals->defaultClass); - } - } else { - if (tGlobals->defaultClassPolicy != DISABLED) { - classValue = is->getMajorityClassExcept(tGlobals->defaultClass); - } else { - classValue = is->getMajorityClass(); - } - } - - numAtt = selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for (i = 0, base = 0; i < numAtt; i++) { - offsetPredicates[i] = base; - int att = selectedAtts[i]; - whichAtt[i] = att; - - if (ai.getTypeOfAttribute(att) == REAL) { - float max, min; - float sizeD = ai.getSizeDomain(att); - float minD = ai.getMinDomain(att); - float maxD = ai.getMaxDomain(att); - float size = (!rnd * 0.5 + 0.25) * sizeD; - - if (ins) { - float val = ins->realValues[att]; - min = val - size / 2.0; - max = val + size / 2.0; - if (min < minD) { - max += (minD - min); - min = minD; - } - if (max > maxD) { - min -= (max - maxD); - max = maxD; - } - } else { - min = !rnd * (sizeD - size) + minD; - max = min + size; - } - - predicates[base] = min; - predicates[base + 1] = max; - } else { - int value; - if (ins) - value = (unsigned char) ins->realValues[att]; - else - value = -1; - for (j = 0; j < tReal->attributeSize[att]; j++) { - if (j != value) { - - // int insSum=0; - // double sum = 0; - // for(int k=0; k < ai.getNumClasses();k++) { - // insSum += ai.getInstancesOfClass(k); - // sum += ai.getFrequencyOfValueOfAttribute(k,att,j)*ai.getInstancesOfClass(k); - // } - - double sum = (1 / (double) tReal->attributeSize[att]) - / ai.getFrequencyOfValueOfAttribute(classValue, att, - j); - //sum /= insSum; - //printf("Especificity constant att %d val %d class %d: %f %f\n",att,j,classValue,sum,min(1.0, sum*tGlobals->probOne)); - - //if(!rnd< min(1.0, sum*tGlobals->probOne)) { - - if (!rnd < tGlobals->probOne) { - predicates[base + j] = 1; - } else { - predicates[base + j] = 0; - } - //printf("Adding %d %d %d : %d\n", att,j,classValue, (int) predicates[base+j]); - } else { - predicates[base + j] = 1; - //printf("Adding+ %d %d %d : %d\n", att,j,classValue, (int) predicates[base+j]); - } - } - } - - base += tReal->attributeSize[att]; - } - -} - -void classifier_hyperrect_list::crossover(classifier * in, classifier * out1, - classifier * out2) { - crossover_1px(this, (classifier_hyperrect_list *) in, - (classifier_hyperrect_list *) out1, - (classifier_hyperrect_list *) out2); -} - -float classifier_hyperrect_list::mutationOffset(float geneValue, - float offsetMin, float offsetMax) { - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_list::mutation() { - int i; - int attribute, value, attIndex; - - modif = 1; - - if (tGlobals->numClasses > 1 && !rnd < 0.10) { - int newValue; - do { - newValue = rnd(0, ai.getNumClasses() - 1); - } while (newValue == classValue - || tGlobals->defaultClassPolicy != DISABLED - && newValue == tGlobals->defaultClass); - classValue = newValue; - } else { - if (numAtt > 0) { - attIndex = rnd(0, numAtt - 1); - attribute = whichAtt[attIndex]; - value = rnd(0, tReal->attributeSize[attribute] - 1); - int index = offsetPredicates[attIndex] + value; - - if (ai.getTypeOfAttribute(attribute) == REAL) { - float newValue, minOffset, maxOffset; - minOffset = maxOffset = 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(predicates[index], minOffset, - maxOffset); - if (newValue < ai.getMinDomain(attribute)) - newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) - newValue = ai.getMaxDomain(attribute); - predicates[index] = newValue; - if (value) - index--; - if (predicates[index] > predicates[index + 1]) { - swapD(predicates[index], predicates[index + 1]); - } - } else { - if (predicates[index] == 1) - predicates[index] = 0; - else - predicates[index] = 1; - } - } - } -} - -void classifier_hyperrect_list::dumpPhenotype(char *string) { - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int i, j, index; - - strcpy(string, ""); - - for (i = 0, index = 0; i < numAtt; i++) { - int attIndex = whichAtt[i]; - sprintf(temp, "Att %s is ", ai.getAttributeName(attIndex)->cstr()); - int irr = 1; - - if (ai.getTypeOfAttribute(attIndex) == REAL) { - float minD = ai.getMinDomain(attIndex); - float maxD = ai.getMaxDomain(attIndex); - if (predicates[index] == minD) { - if (predicates[index + 1] == maxD) { - // do nothing - } else { - irr = 0; - sprintf(temp2, "[<%f]", predicates[index + 1]); - strcat(temp, temp2); - } - } else { - if (predicates[index + 1] == maxD) { - irr = 0; - sprintf(temp2, "[>%f]", predicates[index]); - strcat(temp, temp2); - } else { - irr = 0; - sprintf(tmp1, "%f", predicates[index]); - sprintf(tmp2, "%f", predicates[index + 1]); - sprintf(temp2, "[%s,%s]", tmp1, tmp2); - strcat(temp, temp2); - } - } - } else { - for (j = 0; j < tReal->attributeSize[attIndex]; j++) { - if (predicates[index + j]) { - sprintf(temp2, "%s,", - ai.getNominalValue(attIndex, j)->cstr()); - strcat(temp, temp2); - } else { - irr = 0; - } - } - if (temp[strlen(temp) - 1] == ',') - temp[strlen(temp) - 1] = 0; - } - - index += tReal->attributeSize[attIndex]; - - if (!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - sprintf(temp, "%s\n", - ai.getNominalValue(tGlobals->numAttributesMC, classValue)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_list::crossover_1px(classifier_hyperrect_list * in1, - classifier_hyperrect_list * in2, classifier_hyperrect_list * out1, - classifier_hyperrect_list * out2) { - int i; - - out1->modif = out2->modif = 1; - - if (in1->numAtt == 0) { - classifier_hyperrect_list *tmp = in2; - in2 = in1; - in1 = tmp; - } - - if (in1->numAtt == 0) { - out1->whichAtt = new int[out1->numAtt]; - out2->whichAtt = new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - out1->predicates = new float[out1->ruleSize]; - out2->predicates = new float[out2->ruleSize]; - return; - } - - int pos1 = rnd(0, in1->numAtt - 1); - int selAtt1 = in1->whichAtt[pos1]; - - for (i = 0; i < in2->numAtt && in2->whichAtt[i] < selAtt1; i++) - ; - int pos2 = i; - int selAtt2; - if (pos2 != in2->numAtt) { - selAtt2 = in2->whichAtt[pos2]; - } else { - selAtt2 = -1; - } - - out1->numAtt = pos1 + 1 + (in2->numAtt - pos2); - out2->numAtt = pos2 + (in1->numAtt - pos1 - 1); - if (selAtt1 == selAtt2) { - out1->numAtt--; - out2->numAtt++; - } - - out1->whichAtt = new int[out1->numAtt]; - out2->whichAtt = new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - - out1->ruleSize = 0; - for (i = 0; i <= pos1; i++) { - out1->whichAtt[i] = in1->whichAtt[i]; - out1->offsetPredicates[i] = out1->ruleSize; - out1->ruleSize += tReal->attributeSize[out1->whichAtt[i]]; - } - int lenp1c1 = out1->ruleSize; - int base = pos2; - if (selAtt1 == selAtt2) { - base++; - } - for (; i < out1->numAtt; i++, base++) { - out1->whichAtt[i] = in2->whichAtt[base]; - out1->offsetPredicates[i] = out1->ruleSize; - out1->ruleSize += tReal->attributeSize[out1->whichAtt[i]]; - } - - out2->ruleSize = 0; - for (i = 0; i < pos2; i++) { - out2->whichAtt[i] = in2->whichAtt[i]; - out2->offsetPredicates[i] = out2->ruleSize; - out2->ruleSize += tReal->attributeSize[out2->whichAtt[i]]; - } - int lenp2c1 = out2->ruleSize; - base = pos1; - if (selAtt1 != selAtt2) { - base++; - } - for (; i < out2->numAtt; i++, base++) { - out2->whichAtt[i] = in1->whichAtt[base]; - out2->offsetPredicates[i] = out2->ruleSize; - out2->ruleSize += tReal->attributeSize[out2->whichAtt[i]]; - } - - out1->predicates = new float[out1->ruleSize]; - out2->predicates = new float[out2->ruleSize]; - - bcopy(in1->predicates, out1->predicates, lenp1c1 * sizeof(float)); - bcopy(in2->predicates, out2->predicates, lenp2c1 * sizeof(float)); - - if (selAtt1 == selAtt2) { - int baseP1 = in1->offsetPredicates[pos1]; - int baseP2 = in2->offsetPredicates[pos2]; - int baseO1 = out1->offsetPredicates[pos1]; - int baseO2 = out2->offsetPredicates[pos2]; - - if (ai.getTypeOfAttribute(selAtt1) == REAL) { - int cutPoint = rnd(0, 2); - if (cutPoint == 0) { - out1->predicates[baseO1] = in2->predicates[baseP2]; - out1->predicates[baseO1 + 1] = in2->predicates[baseP2 + 1]; - out2->predicates[baseO2] = in1->predicates[baseP1]; - out2->predicates[baseO2 + 1] = in1->predicates[baseP1 + 1]; - } else if (cutPoint == 1) { - float min1 = in1->predicates[baseP1]; - float min2 = in2->predicates[baseP2]; - float max1 = in2->predicates[baseP2 + 1]; - float max2 = in1->predicates[baseP1 + 1]; - - if (min1 > max1) - swapD(min1, max1); - if (min2 > max2) - swapD(min2, max2); - - out1->predicates[baseO1] = min1; - out1->predicates[baseO1 + 1] = max1; - out2->predicates[baseO2] = min2; - out2->predicates[baseO2 + 1] = max2; - } else { - out1->predicates[baseO1] = in1->predicates[baseP1]; - out1->predicates[baseO1 + 1] = in1->predicates[baseP1 + 1]; - out2->predicates[baseO2] = in2->predicates[baseP2]; - out2->predicates[baseO2 + 1] = in2->predicates[baseP2 + 1]; - } - } else { - int size = tReal->attributeSize[selAtt1]; - int cutPoint = rnd(0, size); - bcopy(&in1->predicates[baseP1], &out1->predicates[baseO1], - cutPoint * sizeof(float)); - bcopy(&in2->predicates[baseP2], &out2->predicates[baseO2], - cutPoint * sizeof(float)); - - bcopy(&in1->predicates[baseP1 + cutPoint], - &out2->predicates[baseO2 + cutPoint], - (size - cutPoint) * sizeof(float)); - bcopy(&in2->predicates[baseP2 + cutPoint], - &out1->predicates[baseO1 + cutPoint], - (size - cutPoint) * sizeof(float)); - } - pos2++; - } else { - int base1 = in1->offsetPredicates[pos1]; - out1->whichAtt[pos1] = selAtt1; - bcopy(&in1->predicates[base1], &out1->predicates[base1], - tReal->attributeSize[selAtt1] * sizeof(float)); - } - - pos1++; - if (pos1 < in1->numAtt) { - bcopy(&in1->predicates[in1->offsetPredicates[pos1]], - &out2->predicates[out2->offsetPredicates[pos2]], - (in1->ruleSize - in1->offsetPredicates[pos1]) * sizeof(float)); - } - if (pos2 < in2->numAtt) { - bcopy(&in2->predicates[in2->offsetPredicates[pos2]], - &out1->predicates[out1->offsetPredicates[pos1]], - (in2->ruleSize - in2->offsetPredicates[pos2]) * sizeof(float)); - } - - if (!rnd < 0.5) { - out1->classValue = in1->classValue; - out2->classValue = in2->classValue; - } else { - out1->classValue = in2->classValue; - out2->classValue = in1->classValue; - } -} - -void classifier_hyperrect_list::postprocess() { -} - -void classifier_hyperrect_list::deleteAttribute(int attribute) { - - int i; - int deletedSize = tReal->attributeSize[whichAtt[attribute]]; - int *newWhichAtt = new int[numAtt - 1]; - int *newOffsetPredicates = new int[numAtt - 1]; - float *newPredicates = new float[ruleSize - deletedSize]; - bcopy(whichAtt, newWhichAtt, attribute * sizeof(int)); - bcopy(offsetPredicates, newOffsetPredicates, attribute * sizeof(int)); - bcopy(predicates, newPredicates, - offsetPredicates[attribute] * sizeof(float)); - if (attribute != numAtt - 1) { - bcopy(&whichAtt[attribute + 1], &newWhichAtt[attribute], - (numAtt - attribute - 1) * sizeof(int)); - bcopy(&offsetPredicates[attribute + 1], &newOffsetPredicates[attribute], - (numAtt - attribute - 1) * sizeof(int)); - bcopy(&predicates[offsetPredicates[attribute + 1]], - &newPredicates[offsetPredicates[attribute]], - (ruleSize - offsetPredicates[attribute + 1]) * sizeof(float)); - } - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt--; - ruleSize -= deletedSize; - for (i = attribute; i < numAtt; i++) { - offsetPredicates[i] -= deletedSize; - } -} - -void classifier_hyperrect_list::specifyAttribute(int selectedAtt) { - - int i; - int addedSize = tReal->attributeSize[selectedAtt]; - int *newWhichAtt = new int[numAtt + 1]; - int *newOffsetPredicates = new int[numAtt + 1]; - float *newPredicates = new float[ruleSize + addedSize]; - int index = 0, index2 = 0; - while (index < numAtt && whichAtt[index] < selectedAtt) { - newWhichAtt[index] = whichAtt[index]; - newOffsetPredicates[index] = offsetPredicates[index]; - bcopy(&predicates[index2], &newPredicates[index2], - tReal->attributeSize[whichAtt[index]] * sizeof(float)); - index2 += tReal->attributeSize[whichAtt[index]]; - index++; - } - newWhichAtt[index] = selectedAtt; - newOffsetPredicates[index] = index2; - if (ai.getTypeOfAttribute(selectedAtt) == REAL) { - float sizeD = ai.getSizeDomain(selectedAtt); - float minD = ai.getMinDomain(selectedAtt); - float maxD = ai.getMaxDomain(selectedAtt); - float size = (!rnd * 0.5 + 0.25) * sizeD; - float min = !rnd * (sizeD - size) + minD; - float max = min + size; - newPredicates[index2] = min; - newPredicates[index2 + 1] = max; - } else { - for (i = 0; i < tReal->attributeSize[selectedAtt]; i++) { - if (!rnd < tGlobals->probOne) { - newPredicates[index2 + i] = 1; - } else { - newPredicates[index2 + i] = 0; - } - } - - } - if (index != numAtt) { - bcopy(&whichAtt[index], &newWhichAtt[index + 1], - (numAtt - index) * sizeof(int)); - bcopy(&offsetPredicates[index], &newOffsetPredicates[index + 1], - (numAtt - index) * sizeof(int)); - bcopy(&predicates[index2], &newPredicates[index2 + addedSize], - (ruleSize - offsetPredicates[index]) * sizeof(float)); - } - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt++; - ruleSize += addedSize; - for (i = index + 1; i < numAtt; i++) { - offsetPredicates[i] += addedSize; - } -} - -void classifier_hyperrect_list::doSpecialStage(int stage) { - int i; - - if (stage == 0) { //Generalize - if (numAtt > 0 && !rnd < tReal->probGeneralizeList) { - int attribute = rnd(0, numAtt - 1); - deleteAttribute(attribute); - } - } else { //Specialize - if (numAtt < tGlobals->numAttributesMC - && !rnd < tReal->probSpecializeList) { - int attMap[tGlobals->numAttributesMC]; - bzero(attMap, tGlobals->numAttributesMC * sizeof(int)); - for (i = 0; i < numAtt; i++) { - attMap[whichAtt[i]] = 1; - } - - int selectedAtt; - do { - selectedAtt = rnd(0, tGlobals->numAttributesMC - 1); - } while (attMap[selectedAtt] == 1); - specifyAttribute(selectedAtt); - } - } -} - -void classifier_hyperrect_list::initiateEval() { - int i; - JVector discrete; - JVector real; - - for (i = 0; i < numAtt; i++) { - int att = whichAtt[i]; - if (ai.getTypeOfAttribute(att) == REAL) { - real.addElement(i); - } else { - discrete.addElement(i); - } - } - - numReal = real.size(); - listRealPos = new int[numReal]; - listRealAtt = new int[numReal]; - for (i = 0; i < numReal; i++) { - listRealPos[i] = real[i]; - listRealAtt[i] = whichAtt[listRealPos[i]]; - } - - numDiscrete = discrete.size(); - listDiscretePos = new int[numDiscrete]; - listDiscreteAtt = new int[numDiscrete]; - for (i = 0; i < numDiscrete; i++) { - listDiscretePos[i] = discrete[i]; - listDiscreteAtt[i] = whichAtt[listDiscretePos[i]]; - } -} - -double classifier_hyperrect_list::getAttributeSpecificity(int i) { - int base = offsetPredicates[i]; - int att = whichAtt[i]; - int totVals = ai.getNumValuesAttribute(att); - float result = 0; - for (int j = 0; j < totVals; j++) { - result += predicates[base + j]; - - } - float result2 = result / ((double) totVals); - return result2; - -} - -int classifier_hyperrect_list::getNumAttributesSpecified() { - int res = 0; - for (int i = 0; i < numAtt; i++) { - if (getAttributeSpecificity(i) < 1) - res += 1; - } - return res; -} - -double classifier_hyperrect_list::getAttributesSpecificity() { - - float res = 0; - int a = 0; - for (int i = 0; i < numAtt; i++) { - if (getAttributeSpecificity(i) != 1) { - res += getAttributeSpecificity(i); - a++; - } - } - return res / (double) a; -} - -classifier_hyperrect_list *classifier_hyperrect_list::pruneAttributes() { - classifier_hyperrect_list * orig = new classifier_hyperrect_list(*this, 0); - orig->fitnessComputation(); - double acc = orig->getAccuracy2(); - char pheno[1000000]; - - orig->dumpPhenotype(pheno); - printf("Class Acc %f Cov %f Matched %d Pos %d Ok %d %s", acc, - orig->getCoverage(), orig->getNumInstancesMatched(), - orig->getNumInstancesPos(), orig->getNumInstancesPosOK(), pheno); - instance ** insIter = is->getInstancesOfIteration(); - - for (int i = 0; i < orig->numAtt; i++) { - if (!(orig->getAttributeSpecificity(i) == 1.0)) { - classifier_hyperrect_list * copy3 = new classifier_hyperrect_list( - *orig, 0); - copy3->deleteAttribute(i); - copy3->fitnessComputation(); - copy3->dumpPhenotype(pheno); - - printf("acc %f %f Cov %f Matched %d Pos %d Ok %d %s", acc, - copy3->getAccuracy2(), copy3->getCoverage(), - copy3->getNumInstancesMatched(), - copy3->getNumInstancesPos(), copy3->getNumInstancesPosOK(), - pheno); - if (!(copy3->getAccuracy2() < acc)) { - printf("Eliminado attributo %d\n", i); - i--; - orig = copy3; - - if (copy3->getAccuracy2() > acc) - acc = copy3->getAccuracy2(); - } - - } - - } - - return orig; -} - -//Do not accept covering any new negative examples! -classifier_hyperrect_list *classifier_hyperrect_list::pruneAttributes2(int index) { - classifier_hyperrect_list * orig = new classifier_hyperrect_list(*this, 0); - orig->fitnessComputation(); - double acc = orig->getAccuracy2(); - double cov = orig->getCoverage(); - //char pheno[1000000]; - - //orig->dumpPhenotype(pheno); - int origmatched = orig->getNumInstancesMatched(); - int origok = orig->getNumInstancesPosOK(); - //printf("Class Acc %f Cov %f Matched %d Pos %d Ok %d %s", acc, - // orig->getCoverage(), origmatched, orig->getNumInstancesPos(), - // origok, pheno); - - int atts = 0; - for (int i = 0; i < orig->numAtt; i++) { - - if (!(orig->getAttributeSpecificity(i) == 1.0)) { - classifier_hyperrect_list * copy3 = new classifier_hyperrect_list( - *orig, 0); - copy3->deleteAttribute(i); - copy3->fitnessComputation(); - // copy3->dumpPhenotype(pheno); - - int copymatched = copy3->getNumInstancesMatched(); - int copyok = copy3->getNumInstancesPosOK(); - // printf("acc %f %f Cov %f Matched %d Pos %d Ok %d %s", acc, - // copy3->getAccuracy2(), copy3->getCoverage(), copymatched, - // copy3->getNumInstancesPos(), copyok, pheno); - - if (!(copy3->getAccuracy2() < acc)) { - if ((origmatched - copymatched) == (origok - copyok)) { - - //printf("Eliminado attributo %d\n", i); - atts++; - i--; - orig = copy3; - - if (copy3->getAccuracy2() > acc) - acc = copy3->getAccuracy2(); - } - - } - - } - - } - - if(orig->getAccuracy2() != acc || orig->getCoverage() != cov) { - printf("Class %d: Pruned %d atts Prev: Acc %f Cov %f New: Acc %f Cov %f\n",index,atts,acc,cov,orig->getAccuracy2(),orig->getCoverage()); - } - return orig; -} - -int classifier_hyperrect_list::cleanAttributes(int index) { - - int ** matched = fitnessComputationWithMatchSet(0); - - float accu = getAccuracy2(); - float cove = getCoverage(); - instance ** insIter = is->getInstancesOfIteration(); - - int offset = 0; - int change = 0; - for (int i = 0; i < numAtt; i++) { - - int index = whichAtt[i]; - if (getAttributeSpecificity(i) != 1.0) { - if (ai.getTypeOfAttribute(index) == NOMINAL - && tReal->attributeSize[index] > 2) { - - for (int i = 0; i < tReal->attributeSize[index]; i++) { - - if (predicates[offset + i] == 1) { - int res = 0; - for (int k = 0; !res && k < matched[1][0]; k++) { - if (insIter[matched[0][k]]->realValues[index] - == i) { - res = 1; - } - } - - if (res == 0) { - predicates[offset + i] = res; - change = 1; - } - - } - } - } else if (ai.getTypeOfAttribute(index) == REAL) { - float min = ai.getMaxDomain(index); - float max = ai.getMinDomain(index); - for (int k = 0; k < matched[1][0]; k++) { - if (insIter[matched[0][k]]->realValues[index] > max) { - max = insIter[matched[0][k]]->realValues[index]; - } - if (insIter[matched[0][k]]->realValues[index] < min) { - min = insIter[matched[0][k]]->realValues[index]; - } - - } - - if (min > predicates[offset]) { - predicates[offset] = min; - change = 1; - } - - if (max < predicates[offset + 1]) { - predicates[offset + 1] = max; - change = 1; - } - } - } - - offset += tReal->attributeSize[index]; - - } - - fitnessComputation(); - if(accu != getAccuracy2() || cove != getCoverage()) - printf("Class %d cleaned Prev: Acc %f Cov %f New: Acc %f Cov %f\n", index, accu, cove, getAccuracy2(), getCoverage()); - return change; - -} - -int classifier_hyperrect_list::cleanAttributes2(int index) { - - - int ** matched = fitnessComputationWithMatchSet(1); - - float accu = getAccuracy2(); - float cove = getCoverage(); - instance ** insIter = is->getInstancesOfIteration(); - - int offset = 0; - int change = 0; - for (int i = 0; i < numAtt; i++) { - - int index = whichAtt[i]; - if (getAttributeSpecificity(i) != 1.0) { - if (ai.getTypeOfAttribute(index) == NOMINAL - && tReal->attributeSize[index] > 2) { - - for (int i = 0; i < tReal->attributeSize[index]; i++) { - - if (predicates[offset + i] == 1) { - int resNeg = 0; - int resPos = 0; - for (int k = 0; !resNeg && k < matched[2][1]; k++) { - if (insIter[matched[1][k]]->realValues[index] - == i) { - resNeg = 1; - } - } - - for (int k = 0; !resPos && k < matched[2][0]; k++) { - if (insIter[matched[0][k]]->realValues[index] - == i) { - resPos = 1; - } - } - - if(resNeg && !resPos) { - predicates[offset + i] = 0; - change = 1; - } - - } - } - } else if (ai.getTypeOfAttribute(index) == REAL) { - - float min = predicates[offset]; - float max = predicates[offset+ 1]; - - vector allPosValues; - vector allNegValues; - for (int k=0; k < matched[2][0]; k++) { - allPosValues.push_back(insIter[matched[0][k]]->realValues[index]); - } - for (int k=0; k < matched[2][1]; k++) { - allNegValues.push_back(insIter[matched[1][k]]->realValues[index]); - } - - sort(allPosValues.begin(),allPosValues.end()); - sort(allNegValues.begin(),allNegValues.end()); - - min = allPosValues[0]; - max = allPosValues[allPosValues.size() -1]; - - if(matched[2][1] > 0) { - - int foundmin = 0; - if (allNegValues[0] >= min) foundmin =1; - int foundmax = 0; - if(allNegValues[matched[2][1]- 1] <= max) foundmax=1; - - //printf("Negs %d Min %f Max %f foundmin %d foundmax %d\n",matched[2][1],min,max,foundmin,foundmax); - for (int k=0; k < (matched[2][1]) && (!foundmin || !foundmax); k++) { - //printf("Observing k %d- %f %f\n",k,allNegValues[k],allNegValues[allNegValues.size() -1 -k]); - if (!foundmin && k > 0 && allNegValues[k] >= min) { - min=(allNegValues[k-1]+min)/2.0; - foundmin =1; - //printf("Changed min %f\n",min); - } - - if (!foundmax && k > 0 && allNegValues[allNegValues.size() -1 -k] <= max){ - max=(allNegValues[allNegValues.size() -1 -k + 1]+max)/2.0; - foundmax =1; - //printf("Changed max %f\n",max); - } - } - } - - if (min > predicates[offset]) { - predicates[offset] = min; - change = 1; - } - - if (max < predicates[offset + 1]) { - predicates[offset + 1] = max; - change = 1; - } - } - } - - offset += tReal->attributeSize[index]; - - } - - - fitnessComputation(); - if(accu != getAccuracy2() || cove != getCoverage()) - printf("Class %d cleaned2 Prev: Acc %f Cov %f New: Acc %f Cov %f\n", index, accu, cove, getAccuracy2(), getCoverage()); - return change; - -} - - -void classifier_hyperrect_list::finalizeEval() { - delete listRealAtt; - delete listDiscreteAtt; - delete listRealPos; - delete listDiscretePos; -} - -float classifier_hyperrect_list::calculateDistance(classifier * c2) { - classifier_hyperrect_list* c = static_cast(c2); - - int resultNominal = 0; - int totalNominal = 0; - float resultReal = 0; - int totalReal = 0; - int totalAtts = 0; - int j = 0; - for (int i = 0; i < numAtt || j < c->numAtt;) { - - totalAtts++; - - if (i >= numAtt) { - int att = c->whichAtt[j]; - int base2 = c->offsetPredicates[j]; - - if (ai.getTypeOfAttribute(att) == NOMINAL) { - int size = tReal->attributeSize[att]; - totalNominal += size; - - for (int k = 0; k < size; k++) { - - if (c->predicates[base2 + k] == 1) { - resultNominal += 1; - } - } - } else { - - totalReal++; - resultReal += (c->predicates[base2 + 1] - c->predicates[base2]) - / float(ai.getMaxDomain(att) - ai.getMinDomain(att)); - - } - - j++; - } else if (j >= c->numAtt) { - int att = whichAtt[i]; - int base1 = offsetPredicates[i]; - if (ai.getTypeOfAttribute(att) == NOMINAL) { - int size = tReal->attributeSize[att]; - totalNominal += size; - for (int k = 0; k < size; k++) { - - if (predicates[base1 + k] == 1) { - resultNominal += 1; - } - } - } else { - totalReal++; - resultReal += (predicates[base1 + 1] - predicates[base1]) - / float(ai.getMaxDomain(att) - ai.getMinDomain(att)); - } - i++; - - // The attributes are the same. Count common ones - } else if (whichAtt[i] == c->whichAtt[j]) { - int att = whichAtt[i]; - int base1 = offsetPredicates[i]; - int base2 = c->offsetPredicates[j]; - if (ai.getTypeOfAttribute(att) == NOMINAL) { - int size = tReal->attributeSize[att]; - totalNominal += size; - for (int k = 0; k < size; k++) { - if (predicates[base1 + k] == c->predicates[base2 + k]) { - resultNominal += 1; - } - } - } else { - float lb1 = predicates[base1]; - float ub1 = predicates[base1 + 1]; - float lb2 = c->predicates[base2]; - float ub2 = c->predicates[base2 + 1]; - - totalReal++; - if (ub1 <= lb2 || lb1 >= ub2) { - break; - } else { - float maxlower = max(lb1, lb2); - float minupper = min(ub1, ub2); - resultReal += - (minupper - maxlower) - / float( - ai.getMaxDomain(att) - - ai.getMinDomain(att)); - } - } - - j++; - i++; - - //The first classifier starts in a previous attribute than the other - } else if (whichAtt[i] < c->whichAtt[j]) { - - int att = whichAtt[i]; - int base1 = offsetPredicates[i]; - if (ai.getTypeOfAttribute(att) == NOMINAL) { - int size = tReal->attributeSize[att]; - totalNominal += size; - - for (int k = 0; k < size; k++) { - - if (predicates[base1 + k] == 1) { - resultNominal += 1; - } - } - } else { - totalReal++; - resultReal += (predicates[base1 + 1] - predicates[base1]) - / float(ai.getMaxDomain(att) - ai.getMinDomain(att)); - } - i++; - //The second classifier represents more attributes than the first - } else { - - int att = c->whichAtt[j]; - int base2 = c->offsetPredicates[j]; - if (ai.getTypeOfAttribute(att) == NOMINAL) { - int size = tReal->attributeSize[att]; - totalNominal += size; - - for (int k = 0; k < size; k++) { - - if (c->predicates[base2 + k] == 1) { - resultNominal += 1; - } - } - } else { - totalReal++; - resultReal += (c->predicates[base2 + 1] - c->predicates[base2]) - / float(ai.getMaxDomain(att) - ai.getMinDomain(att)); - } - - j++; - } - - } - - float nominalTerm = 0; - float realTerm = 0; - - if (totalNominal > 0) { - nominalTerm = ((float) resultNominal / (float) totalNominal); - } - - if (totalReal > 0) { - realTerm = float(resultReal); - } - - int missingAtts=ai.getNumAttributesMC()-totalAtts; - - float final = (nominalTerm * (totalAtts - totalReal) / totalAtts) - + (realTerm * totalReal / totalAtts); - - final = final*totalAtts/(float)ai.getNumAttributesMC() + missingAtts/(float)ai.getNumAttributesMC(); - - return final; -} - - - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list.h b/comparison_algs_src/postprocessing/classifier_hyperrect_list.h deleted file mode 100644 index 1f220aa..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_list.h +++ /dev/null @@ -1,100 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_LIST_ -#define _CLASSIFIER_HYPERRECT_LIST_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -extern attributesInfo ai; -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_list: public classifier { - - void crossover_1px(classifier_hyperrect_list *in1, - classifier_hyperrect_list *in2, classifier_hyperrect_list *out1, - classifier_hyperrect_list *out2); - float mutationOffset(float geneValue, float offsetMin, float offsetMax); - void initializeChromosome(int empty); - void specifyAttribute(int selectedAtt); - void deleteAttribute(int attribute); - -public: - float *predicates; - int *offsetPredicates; - int numAtt; - int *whichAtt; - int classValue; - int ruleSize; - int numDiscrete; - int *listDiscretePos; - int *listDiscreteAtt; - int numReal; - int *listRealPos; - int *listRealAtt; - - classifier_hyperrect_list(char *string); - classifier_hyperrect_list(int empty = 0); - classifier_hyperrect_list(const classifier_hyperrect_list & orig, int son = - 0); - ~classifier_hyperrect_list(); - inline void swapD(float & a, float & b) { - float temp = a; - a = b; - b = temp; - } - - inline int getClass() { - return classValue; - } - - inline int doMatch(instance *ins) { - int i; - - for (i = 0; i < numReal; i++) { - int base = offsetPredicates[listRealPos[i]]; - register float value = ins->realValues[listRealAtt[i]]; - if (value < predicates[base] || value > predicates[base + 1]) - return 0; - - } - for (i = 0; i < numDiscrete; i++) { - int base = offsetPredicates[listDiscretePos[i]]; - register int value = - (unsigned char) ((ins->realValues[listDiscreteAtt[i]])); - if (predicates[base + value] == 0) - return 0; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *, classifier *, classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages() { - return 2; - } - void doSpecialStage(int); - - void postprocess(); - - void initiateEval(); - void finalizeEval(); - - double getAttributeSpecificity(int i); - double getAttributesSpecificity(); - int getNumAttributesSpecified(); - classifier_hyperrect_list *pruneAttributes(); - classifier_hyperrect_list *pruneAttributes2(int index); - int cleanAttributes(int index); - int cleanAttributes2(int index); - float calculateDistance(classifier * c2); - -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list.o b/comparison_algs_src/postprocessing/classifier_hyperrect_list.o deleted file mode 100644 index eec168c..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_hyperrect_list.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.cpp b/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.cpp deleted file mode 100644 index c877654..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.cpp +++ /dev/null @@ -1,667 +0,0 @@ -#include "classifier_hyperrect_list_discrete.h" -#include "random.h" -#include -#include -#include -#include -#include - -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -using namespace std; - -double classifier_hyperrect_list_discrete::computeTheoryLength() { - int i, j, base; - theoryLength = 0.0; - - float *ptr = predicates; - - for (i = 0; i < numAtt; i++) { - int att = whichAtt[i]; - - double countFalses = 0; - int numValues = tReal->attributeSize[att]; - for (j = 0; j < numValues; j++) { - if (!ptr[j]) - countFalses++; - } - theoryLength += (double) countFalses / (double) numValues; - - ptr += tReal->attributeSize[att]; - } - theoryLength /= (double) tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_list_discrete::classifier_hyperrect_list_discrete(int numRep) { - classifier_hyperrect_list_discrete::initializeChromosomeNumRep(numRep); -} - -classifier_hyperrect_list_discrete::classifier_hyperrect_list_discrete( - const classifier_hyperrect_list_discrete & orig, int son) { - *this = orig; - - if (!son) { - whichAtt = new int[numAtt]; - bcopy(orig.whichAtt, whichAtt, numAtt * sizeof(int)); - - offsetPredicates = new int[numAtt]; - bcopy(orig.offsetPredicates, offsetPredicates, numAtt * sizeof(int)); - - predicates = new float[ruleSize]; - bcopy(orig.predicates, predicates, ruleSize * sizeof(float)); - } else { - whichAtt = NULL; - predicates = NULL; - offsetPredicates = NULL; - } -} - -classifier_hyperrect_list_discrete::~classifier_hyperrect_list_discrete() { - delete whichAtt; - delete predicates; - delete offsetPredicates; -} - -void classifier_hyperrect_list_discrete::initializeChromosome(int empty) { - int i, j, base; - - instance *ins = NULL; - if (tGlobals->smartInit) { - if (tGlobals->defaultClassPolicy != DISABLED) { - ins = is->getInstanceInit(tGlobals->defaultClass); - } else { - ins = is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize = 0; - if (!empty) { - for (i = 0; i < tGlobals->numAttributesMC; i++) { - if (!rnd >= tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize += tReal->attributeSize[i]; - } - } - } - - numAtt = selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for (i = 0, base = 0; i < numAtt; i++) { - offsetPredicates[i] = base; - int att = selectedAtts[i]; - whichAtt[i] = att; - - int value; - if (ins) - value = (unsigned char) ins->realValues[att]; - else - value = -1; - for (j = 0; j < tReal->attributeSize[att]; j++) { - - if (j != value) { - //printf("%f \n",tGlobals->probOne); - if (!rnd < tGlobals->probOne) { - - predicates[base + j] = 1; - } else { - predicates[base + j] = 0; - } - } else { - predicates[base + j] = 1; - } - } - - base += tReal->attributeSize[att]; - } - - if(!empty) { - if (ins) { - classValue = ins->getClass(); - } else { - do { - classValue = rnd(0, ai.getNumClasses() - 1); - } while (tGlobals->defaultClassPolicy != DISABLED && classValue - == tGlobals->defaultClass); - } - } else { - if(tGlobals->defaultClassPolicy != DISABLED) { - classValue=is->getMajorityClassExcept(tGlobals->defaultClass); - } else { - classValue=is->getMajorityClass(); - } - } -} - -void classifier_hyperrect_list_discrete::initializeChromosomeNumRep(int numRep) { - int i, j, base; - - //printf("Numrep %d\n",numRep); - instance *ins = NULL; - if (tGlobals->smartInit) { - if (tGlobals->defaultClassPolicy != DISABLED) { - ins = is->getInstanceInit(tGlobals->defaultClass); - } else { - ins = is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize = 0; - - JVector ind3; - if(numRep == -1) { - for (i = 0; i < tGlobals->numAttributesMC; i++) { - if (!rnd >= tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize += tReal->attributeSize[i]; - } - } } - else { - - - for (int h=0; h < tGlobals->numAttributesMC; h++) { - - ind3.addElement(h); - } - - for (i=0; i < numRep; i++) { - int index=rnd(0,tGlobals->numAttributesMC-i-1); - int index2 = ind3[index]; - - selectedAtts.addElement(index2); - ind3.removeElement(index2); - ruleSize += tReal->attributeSize[index2]; - - } - - - } - - - numAtt = selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for (i = 0, base = 0; i < numAtt; i++) { - offsetPredicates[i] = base; - int att = selectedAtts[i]; - whichAtt[i] = att; - - int value; - if (ins) - value = (unsigned char) ins->realValues[att]; - else - value = -1; - - - - if (numRep == -1) { - - for (j = 0; j < tReal->attributeSize[att]; j++) { - if (j != value) { - if (!rnd < tGlobals->probOne) { - //cout << "1"; - predicates[base + j] = 1; - } else { - //cout << "0"; - predicates[base + j] = 0; - } - } else { - predicates[base + j] = 1; - } - - } - //cout <<"|"; - - } - else{ - //It does not work for copying an instance - int index = rnd(0,tReal->attributeSize[att]-1); - - for (j = 0; j < tReal->attributeSize[att]; j++) { - if (j != index) { - - predicates[base + j] = 0; - } else { - - predicates[base + j] = 1; - } - } - - - - } - - base += tReal->attributeSize[att]; - } - - - if(numRep==-1) { - if (ins) { - classValue = ins->getClass(); - } else { - do { - classValue = rnd(0, ai.getNumClasses() - 1); - } while (tGlobals->defaultClassPolicy != DISABLED && classValue - == tGlobals->defaultClass); - } - } else { - if(tGlobals->defaultClassPolicy != DISABLED) { - classValue=is->getMajorityClassExcept(tGlobals->defaultClass); - } else { - classValue=is->getMajorityClass(); - } - } - -// cout << " **** "; -// -// char phenotype[100000]; -// dumpPhenotype(phenotype); -// printf("%s", phenotype); - -} - -void classifier_hyperrect_list_discrete::crossover(classifier * in, - classifier * out1, classifier * out2) { - crossover_1px(this, (classifier_hyperrect_list_discrete *) in, - (classifier_hyperrect_list_discrete *) out1, - (classifier_hyperrect_list_discrete *) out2); -} - -float classifier_hyperrect_list_discrete::mutationOffset(float geneValue, - float offsetMin, float offsetMax) { - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_list_discrete::mutation() { - int i; - int attribute, value, attIndex; - - modif = 1; - - if (tGlobals->numClasses > 1 && !rnd < 0.10) { - int newValue; - do { - newValue = rnd(0, ai.getNumClasses() - 1); - } while (newValue == classValue || tGlobals->defaultClassPolicy - != DISABLED && newValue == tGlobals->defaultClass); - classValue = newValue; -} else { - if (numAtt > 0) { - attIndex = rnd(0, numAtt - 1); - attribute = whichAtt[attIndex]; - value = rnd(0, tReal->attributeSize[attribute] - 1); - int index = offsetPredicates[attIndex] + value; - - if (predicates[index] == 1) - predicates[index] = 0; - else - predicates[index] = 1; - - } -} -} - -void classifier_hyperrect_list_discrete::dumpPhenotype(char *string) { - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int i, j, index; - - strcpy(string, ""); - for (i = 0, index = 0; i < numAtt; i++) { - int attIndex = whichAtt[i]; - sprintf(temp, "Att %s is ", ai.getAttributeName(attIndex)->cstr()); - int irr = 1; - - for (j = 0; j < tReal->attributeSize[attIndex]; j++) { - if (predicates[index + j]) { - sprintf(temp2, "%s,", ai.getNominalValue(attIndex, j)->cstr()); - strcat(temp, temp2); - } else { - irr = 0; - } - } - if (temp[strlen(temp) - 1] == ',') - temp[strlen(temp) - 1] = 0; - - index += tReal->attributeSize[attIndex]; - - if (!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC, - classValue)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_list_discrete::crossover_1px( - classifier_hyperrect_list_discrete * in1, - classifier_hyperrect_list_discrete * in2, - classifier_hyperrect_list_discrete * out1, - classifier_hyperrect_list_discrete * out2) { - int i; - - out1->modif = out2->modif = 1; - - if (in1->numAtt == 0) { - classifier_hyperrect_list_discrete *tmp = in2; - in2 = in1; - in1 = tmp; - } - - if (in1->numAtt == 0) { - out1->whichAtt = new int[out1->numAtt]; - out2->whichAtt = new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - out1->predicates = new float[out1->ruleSize]; - out2->predicates = new float[out2->ruleSize]; - return; - } - - int pos1 = rnd(0, in1->numAtt - 1); - int selAtt1 = in1->whichAtt[pos1]; - - for (i = 0; i < in2->numAtt && in2->whichAtt[i] < selAtt1; i++) - ; - int pos2 = i; - int selAtt2; - if (pos2 != in2->numAtt) { - selAtt2 = in2->whichAtt[pos2]; - } else { - selAtt2 = -1; - } - - out1->numAtt = pos1 + 1 + (in2->numAtt - pos2); - out2->numAtt = pos2 + (in1->numAtt - pos1 - 1); - if (selAtt1 == selAtt2) { - out1->numAtt--; - out2->numAtt++; - } - - out1->whichAtt = new int[out1->numAtt]; - out2->whichAtt = new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - - out1->ruleSize = 0; - for (i = 0; i <= pos1; i++) { - out1->whichAtt[i] = in1->whichAtt[i]; - out1->offsetPredicates[i] = out1->ruleSize; - out1->ruleSize += tReal->attributeSize[out1->whichAtt[i]]; - } - int lenp1c1 = out1->ruleSize; - int base = pos2; - if (selAtt1 == selAtt2) { - base++; - } - for (; i < out1->numAtt; i++, base++) { - out1->whichAtt[i] = in2->whichAtt[base]; - out1->offsetPredicates[i] = out1->ruleSize; - out1->ruleSize += tReal->attributeSize[out1->whichAtt[i]]; - } - - out2->ruleSize = 0; - for (i = 0; i < pos2; i++) { - out2->whichAtt[i] = in2->whichAtt[i]; - out2->offsetPredicates[i] = out2->ruleSize; - out2->ruleSize += tReal->attributeSize[out2->whichAtt[i]]; - } - int lenp2c1 = out2->ruleSize; - base = pos1; - if (selAtt1 != selAtt2) { - base++; - } - for (; i < out2->numAtt; i++, base++) { - out2->whichAtt[i] = in1->whichAtt[base]; - out2->offsetPredicates[i] = out2->ruleSize; - out2->ruleSize += tReal->attributeSize[out2->whichAtt[i]]; - } - - out1->predicates = new float[out1->ruleSize]; - out2->predicates = new float[out2->ruleSize]; - - bcopy(in1->predicates, out1->predicates, lenp1c1 * sizeof(float)); - bcopy(in2->predicates, out2->predicates, lenp2c1 * sizeof(float)); - - if (selAtt1 == selAtt2) { - int baseP1 = in1->offsetPredicates[pos1]; - int baseP2 = in2->offsetPredicates[pos2]; - int baseO1 = out1->offsetPredicates[pos1]; - int baseO2 = out2->offsetPredicates[pos2]; - - int size = tReal->attributeSize[selAtt1]; - int cutPoint = rnd(0, size); - bcopy(&in1->predicates[baseP1], &out1->predicates[baseO1], cutPoint - * sizeof(float)); - bcopy(&in2->predicates[baseP2], &out2->predicates[baseO2], cutPoint - * sizeof(float)); - - bcopy(&in1->predicates[baseP1 + cutPoint], &out2->predicates[baseO2 - + cutPoint], (size - cutPoint) * sizeof(float)); - bcopy(&in2->predicates[baseP2 + cutPoint], &out1->predicates[baseO1 - + cutPoint], (size - cutPoint) * sizeof(float)); - - pos2++; - } else { - int base1 = in1->offsetPredicates[pos1]; - out1->whichAtt[pos1] = selAtt1; - bcopy(&in1->predicates[base1], &out1->predicates[base1], - tReal->attributeSize[selAtt1] * sizeof(float)); - } - - pos1++; - if (pos1 < in1->numAtt) { - bcopy(&in1->predicates[in1->offsetPredicates[pos1]], - &out2->predicates[out2->offsetPredicates[pos2]], (in1->ruleSize - - in1->offsetPredicates[pos1]) * sizeof(float)); - } - if (pos2 < in2->numAtt) { - bcopy(&in2->predicates[in2->offsetPredicates[pos2]], - &out1->predicates[out1->offsetPredicates[pos1]], (in2->ruleSize - - in2->offsetPredicates[pos2]) * sizeof(float)); - } - - if (!rnd < 0.5) { - out1->classValue = in1->classValue; - out2->classValue = in2->classValue; - } else { - out1->classValue = in2->classValue; - out2->classValue = in1->classValue; - } -} - -void classifier_hyperrect_list_discrete::postprocess() { -} - -void classifier_hyperrect_list_discrete::doSpecialStage(int stage) { - int i; - - if (stage == 0) { //Generalize - if (numAtt > 0 && !rnd < tReal->probGeneralizeList) { - int attribute = rnd(0, numAtt - 1); - int deletedSize = tReal->attributeSize[whichAtt[attribute]]; - - int *newWhichAtt = new int[numAtt - 1]; - int *newOffsetPredicates = new int[numAtt - 1]; - float *newPredicates = new float[ruleSize - deletedSize]; - - bcopy(whichAtt, newWhichAtt, attribute * sizeof(int)); - bcopy(offsetPredicates, newOffsetPredicates, attribute - * sizeof(int)); - bcopy(predicates, newPredicates, offsetPredicates[attribute] - * sizeof(float)); - - if (attribute != numAtt - 1) { - bcopy(&whichAtt[attribute + 1], &newWhichAtt[attribute], - (numAtt - attribute - 1) * sizeof(int)); - bcopy(&offsetPredicates[attribute + 1], - &newOffsetPredicates[attribute], (numAtt - attribute - - 1) * sizeof(int)); - bcopy(&predicates[offsetPredicates[attribute + 1]], - &newPredicates[offsetPredicates[attribute]], (ruleSize - - offsetPredicates[attribute + 1]) - * sizeof(float)); - } - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt--; - ruleSize -= deletedSize; - - for (i = attribute; i < numAtt; i++) { - offsetPredicates[i] -= deletedSize; - } - } - } else { //Specialize - if (numAtt < tGlobals->numAttributesMC && !rnd - < tReal->probSpecializeList) { - int attMap[tGlobals->numAttributesMC]; - bzero(attMap, tGlobals->numAttributesMC * sizeof(int)); - for (i = 0; i < numAtt; i++) { - attMap[whichAtt[i]] = 1; - } - - int selectedAtt; - do { - selectedAtt = rnd(0, tGlobals->numAttributesMC - 1); - } while (attMap[selectedAtt] == 1); - - int addedSize = tReal->attributeSize[selectedAtt]; - int *newWhichAtt = new int[numAtt + 1]; - int *newOffsetPredicates = new int[numAtt + 1]; - float *newPredicates = new float[ruleSize + addedSize]; - - int index = 0, index2 = 0; - while (index < numAtt && whichAtt[index] < selectedAtt) { - newWhichAtt[index] = whichAtt[index]; - newOffsetPredicates[index] = offsetPredicates[index]; - bcopy(&predicates[index2], &newPredicates[index2], - tReal->attributeSize[whichAtt[index]] * sizeof(float)); - index2 += tReal->attributeSize[whichAtt[index]]; - index++; - } - newWhichAtt[index] = selectedAtt; - newOffsetPredicates[index] = index2; - - for (i = 0; i < tReal->attributeSize[selectedAtt]; i++) { - if (!rnd < tGlobals->probOne) { - newPredicates[index2 + i] = 1; - } else { - newPredicates[index2 + i] = 0; - } - } - - if (index != numAtt) { - bcopy(&whichAtt[index], &newWhichAtt[index + 1], (numAtt - - index) * sizeof(int)); - bcopy(&offsetPredicates[index], - &newOffsetPredicates[index + 1], (numAtt - index) - * sizeof(int)); - bcopy(&predicates[index2], &newPredicates[index2 + addedSize], - (ruleSize - offsetPredicates[index]) * sizeof(float)); - } - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt++; - ruleSize += addedSize; - - for (i = index + 1; i < numAtt; i++) { - offsetPredicates[i] += addedSize; - } - } - } -} - -void classifier_hyperrect_list_discrete::initiateEval() { - int i; - JVector discrete; - - for (i = 0; i < numAtt; i++) { - int att = whichAtt[i]; - - discrete.addElement(i); - - } - - numDiscrete = discrete.size(); - listDiscretePos = new int[numDiscrete]; - listDiscreteAtt = new int[numDiscrete]; - for (i = 0; i < numDiscrete; i++) { - listDiscretePos[i] = discrete[i]; - listDiscreteAtt[i] = whichAtt[listDiscretePos[i]]; - } -} - -void classifier_hyperrect_list_discrete::finalizeEval() { - - delete listDiscreteAtt; - delete listDiscretePos; -} - -int classifier_hyperrect_list_discrete::equals(classifier *ind2) { - classifier_hyperrect_list_discrete *i2 = (classifier_hyperrect_list_discrete *) ind2; - - int index, i, j; - for (i = 0, index = 0; i < numAtt; i++) { - int attIndex = whichAtt[i]; - - for (j = 0; j < tReal->attributeSize[attIndex]; j++) { - //printf("Ind pred %d %f %f\n", index+j, predicates[index + j], i2->predicates[index + j]); - if (predicates[index + j] != i2->predicates[index+j]) { - return 0; - } - } - - //printf("Ind Sali\n"); - index += tReal->attributeSize[attIndex]; - - } - - return 1; -} - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.h b/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.h deleted file mode 100644 index 44ea3aa..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.h +++ /dev/null @@ -1,96 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_LIST_DISCRETE_ -#define _CLASSIFIER_HYPERRECT_LIST_DISCRETE_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -extern attributesInfo ai; -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_list_discrete: public classifier { - - void crossover_1px(classifier_hyperrect_list_discrete *in1,classifier_hyperrect_list_discrete *in2 - ,classifier_hyperrect_list_discrete *out1,classifier_hyperrect_list_discrete *out2); - float mutationOffset(float geneValue,float offsetMin,float offsetMax); - void initializeChromosome(int empty=0); - void initializeChromosomeNumRep(int numRep); - -public: - float *predicates; - int *offsetPredicates; - int numAtt; - int *whichAtt; - int classValue; - int ruleSize; - int numDiscrete; - int *listDiscretePos; - int *listDiscreteAtt; - - - classifier_hyperrect_list_discrete(int numRep=-1); - classifier_hyperrect_list_discrete(const classifier_hyperrect_list_discrete &orig,int son=0); - ~classifier_hyperrect_list_discrete(); - - inline void swapD(float &a,float &b) { - float temp=a; - a=b; - b=temp; - } - - - inline int getClass() { - return classValue; - } - - inline int doMatch(instance * ins) - { - int i; - - for(i=0;irealValues[listDiscreteAtt[i]]; - if(predicates[base+value]==0) return 0; - } - - /*for(i=0;ievaluators[att]->evaluate(&predicates[base],ins->realValues[att])) return 0;*/ - /*if (ai.getTypeOfAttribute(att) == REAL) { - register float value=ins->realValues[att]; - if(valuepredicates[base+1]) return 0; - } else { - register int value=(unsigned char)ins->realValues[att]; - if(predicates[base+value]==0) return 0; - }*/ - //} - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 2;} - void doSpecialStage(int); - - void postprocess(); - - void initiateEval(); - void finalizeEval(); - - int equals(classifier *ind2); - - inline int getNumAtts() { - printf("this num att\n"); - return numAtt; - } - -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.o b/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.o deleted file mode 100644 index e1ad533..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_hyperrect_list_discrete.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list_real.cpp b/comparison_algs_src/postprocessing/classifier_hyperrect_list_real.cpp deleted file mode 100644 index f54fbfe..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_list_real.cpp +++ /dev/null @@ -1,506 +0,0 @@ -#include "classifier_hyperrect_list_real.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect_list_real::computeTheoryLength() -{ - int i,j,base; - theoryLength = 0.0; - - float *ptr=predicates; - - for(i=0;i0) { - theoryLength += 1.0 - (ptr[1]-ptr[0])/size; - } - ptr+=tReal->attributeSize[att]; - } - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_list_real::classifier_hyperrect_list_real() -{ - classifier_hyperrect_list_real::initializeChromosome(); -} - -classifier_hyperrect_list_real::classifier_hyperrect_list_real(const classifier_hyperrect_list_real & orig, int son) -{ - *this = orig; - - if (!son) { - whichAtt = new int[numAtt]; - bcopy(orig.whichAtt, whichAtt, numAtt * sizeof(int)); - - offsetPredicates = new int[numAtt]; - bcopy(orig.offsetPredicates, offsetPredicates, numAtt * sizeof(int)); - - predicates = new float[ruleSize]; - bcopy(orig.predicates, predicates, ruleSize * sizeof(float)); - } else { - whichAtt = NULL; - predicates = NULL; - offsetPredicates=NULL; - } -} - -classifier_hyperrect_list_real::~classifier_hyperrect_list_real() -{ - delete whichAtt; - delete predicates; - delete offsetPredicates; -} - -void classifier_hyperrect_list_real::initializeChromosome() -{ - int i,j,base; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - JVector selectedAtts; - ruleSize=0; - for(i=0;inumAttributesMC;i++) { - if(!rnd>=tReal->probIrr) { - selectedAtts.addElement(i); - ruleSize+=tReal->attributeSize[i]; - } - } - - numAtt=selectedAtts.size(); - whichAtt = new int[numAtt]; - offsetPredicates = new int[numAtt]; - predicates = new float[ruleSize]; - - for(i=0,base=0;irealValues[att]; - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - - predicates[base]=min; - predicates[base+1]=max; - - base+=tReal->attributeSize[att]; - } - - if(ins) { - classValue=ins->getClass(); - } else { - do { - classValue=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && classValue==tGlobals->defaultClass); - } -} - -void classifier_hyperrect_list_real::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect_list_real *) in, - (classifier_hyperrect_list_real *) out1, - (classifier_hyperrect_list_real *) out2); -} - -float classifier_hyperrect_list_real::mutationOffset(float geneValue, float offsetMin, - float offsetMax) -{ - float newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_list_real::mutation() -{ - int i; - int attribute, value,attIndex; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - int newValue; - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == classValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - classValue=newValue; - } else { - if(numAtt>0) { - attIndex=rnd(0,numAtt-1); - attribute=whichAtt[attIndex]; - value=rnd(0,tReal->attributeSize[attribute]-1); - int index=offsetPredicates[attIndex]+value; - - float newValue,minOffset,maxOffset; - minOffset = maxOffset = 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(predicates[index], minOffset, maxOffset); - if (newValue < ai.getMinDomain(attribute)) newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) newValue = ai.getMaxDomain(attribute); - predicates[index]=newValue; - if(value) index--; - if(predicates[index]>predicates[index+1]) { - swapD(predicates[index],predicates[index+1]); - } - } - } -} - -void classifier_hyperrect_list_real::dumpPhenotype(char *string) -{ - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int i,j,index; - - strcpy(string, ""); - for (i = 0,index=0; i < numAtt; i++) { - int attIndex=whichAtt[i]; - sprintf(temp,"Att %s is " ,ai.getAttributeName(attIndex)->cstr()); - int irr=1; - - float minD=ai.getMinDomain(attIndex); - float maxD=ai.getMaxDomain(attIndex); - if(predicates[index]==minD) { - if(predicates[index+1]==maxD) { - // do nothing - } else { - irr=0; - sprintf(temp2, "[<%f]", predicates[index+1]); - strcat(temp,temp2); - } - } else { - if(predicates[index+1]==maxD) { - irr=0; - sprintf(temp2, "[>%f]", predicates[index]); - strcat(temp,temp2); - } else { - irr=0; - sprintf(tmp1, "%f", predicates[index]); - sprintf(tmp2, "%f", predicates[index+1]); - sprintf(temp2, "[%s,%s]", tmp1, tmp2); - strcat(temp,temp2); - } - } - - index+=tReal->attributeSize[attIndex]; - - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,classValue)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_list_real::crossover_1px(classifier_hyperrect_list_real * in1, - classifier_hyperrect_list_real * in2, - classifier_hyperrect_list_real * out1, - classifier_hyperrect_list_real * out2) -{ - int i; - - out1->modif = out2->modif = 1; - - if(in1->numAtt==0) { - classifier_hyperrect_list_real *tmp=in2; - in2=in1; - in1=tmp; - } - - if(in1->numAtt==0) { - out1->whichAtt=new int[out1->numAtt]; - out2->whichAtt=new int[out2->numAtt]; - out1->offsetPredicates=new int[out1->numAtt]; - out2->offsetPredicates=new int[out2->numAtt]; - out1->predicates=new float[out1->ruleSize]; - out2->predicates=new float[out2->ruleSize]; - return; - } - - int pos1=rnd(0,in1->numAtt-1); - int selAtt1=in1->whichAtt[pos1]; - - for(i=0;inumAtt && in2->whichAtt[i]numAtt) { - selAtt2=in2->whichAtt[pos2]; - } else { - selAtt2=-1; - } - - out1->numAtt=pos1+1+(in2->numAtt-pos2); - out2->numAtt=pos2+(in1->numAtt-pos1-1); - if(selAtt1==selAtt2) { - out1->numAtt--; - out2->numAtt++; - } - - out1->whichAtt=new int[out1->numAtt]; - out2->whichAtt=new int[out2->numAtt]; - out1->offsetPredicates = new int[out1->numAtt]; - out2->offsetPredicates = new int[out2->numAtt]; - - out1->ruleSize=0; - for(i=0;i<=pos1;i++) { - out1->whichAtt[i]=in1->whichAtt[i]; - out1->offsetPredicates[i]=out1->ruleSize; - out1->ruleSize+=tReal->attributeSize[out1->whichAtt[i]]; - } - int lenp1c1=out1->ruleSize; - int base=pos2; - if(selAtt1==selAtt2) { - base++; - } - for(;inumAtt;i++,base++) { - out1->whichAtt[i]=in2->whichAtt[base]; - out1->offsetPredicates[i]=out1->ruleSize; - out1->ruleSize+=tReal->attributeSize[out1->whichAtt[i]]; - } - - out2->ruleSize=0; - for(i=0;iwhichAtt[i]=in2->whichAtt[i]; - out2->offsetPredicates[i]=out2->ruleSize; - out2->ruleSize+=tReal->attributeSize[out2->whichAtt[i]]; - } - int lenp2c1=out2->ruleSize; - base=pos1; - if(selAtt1!=selAtt2) { - base++; - } - for(;inumAtt;i++,base++) { - out2->whichAtt[i]=in1->whichAtt[base]; - out2->offsetPredicates[i]=out2->ruleSize; - out2->ruleSize+=tReal->attributeSize[out2->whichAtt[i]]; - } - - out1->predicates=new float[out1->ruleSize]; - out2->predicates=new float[out2->ruleSize]; - - bcopy(in1->predicates,out1->predicates,lenp1c1*sizeof(float)); - bcopy(in2->predicates,out2->predicates,lenp2c1*sizeof(float)); - - if(selAtt1==selAtt2) { - int baseP1=in1->offsetPredicates[pos1]; - int baseP2=in2->offsetPredicates[pos2]; - int baseO1=out1->offsetPredicates[pos1]; - int baseO2=out2->offsetPredicates[pos2]; - - int cutPoint=rnd(0,2); - if(cutPoint==0) { - out1->predicates[baseO1]=in2->predicates[baseP2]; - out1->predicates[baseO1+1]=in2->predicates[baseP2+1]; - out2->predicates[baseO2]=in1->predicates[baseP1]; - out2->predicates[baseO2+1]=in1->predicates[baseP1+1]; - } else if(cutPoint==1) { - float min1=in1->predicates[baseP1]; - float min2=in2->predicates[baseP2]; - float max1=in2->predicates[baseP2+1]; - float max2=in1->predicates[baseP1+1]; - - if(min1>max1) swapD(min1,max1); - if(min2>max2) swapD(min2,max2); - - out1->predicates[baseO1]=min1; - out1->predicates[baseO1+1]=max1; - out2->predicates[baseO2]=min2; - out2->predicates[baseO2+1]=max2; - } else { - out1->predicates[baseO1]=in1->predicates[baseP1]; - out1->predicates[baseO1+1]=in1->predicates[baseP1+1]; - out2->predicates[baseO2]=in2->predicates[baseP2]; - out2->predicates[baseO2+1]=in2->predicates[baseP2+1]; - } - pos2++; - } else { - int base1=in1->offsetPredicates[pos1]; - out1->whichAtt[pos1]=selAtt1; - bcopy(&in1->predicates[base1],&out1->predicates[base1],tReal->attributeSize[selAtt1]*sizeof(float)); - } - - pos1++; - if(pos1numAtt) { - bcopy(&in1->predicates[in1->offsetPredicates[pos1]] - ,&out2->predicates[out2->offsetPredicates[pos2]] - ,(in1->ruleSize-in1->offsetPredicates[pos1])*sizeof(float)); - } - if(pos2numAtt) { - bcopy(&in2->predicates[in2->offsetPredicates[pos2]] - ,&out1->predicates[out1->offsetPredicates[pos1]] - ,(in2->ruleSize-in2->offsetPredicates[pos2])*sizeof(float)); - } - - - if(!rnd<0.5) { - out1->classValue=in1->classValue; - out2->classValue=in2->classValue; - } else { - out1->classValue=in2->classValue; - out2->classValue=in1->classValue; - } -} - -void classifier_hyperrect_list_real::postprocess() -{ -} - -void classifier_hyperrect_list_real::doSpecialStage(int stage) -{ - int i; - - if(stage==0) { //Generalize - if(numAtt>0 && !rndprobGeneralizeList) { - int attribute=rnd(0,numAtt-1); - int deletedSize=tReal->attributeSize[whichAtt[attribute]]; - - int *newWhichAtt = new int[numAtt-1]; - int *newOffsetPredicates = new int[numAtt-1]; - float *newPredicates = new float[ruleSize-deletedSize]; - - bcopy(whichAtt,newWhichAtt,attribute*sizeof(int)); - bcopy(offsetPredicates,newOffsetPredicates,attribute*sizeof(int)); - bcopy(predicates,newPredicates,offsetPredicates[attribute]*sizeof(float)); - - if(attribute!=numAtt-1) { - bcopy(&whichAtt[attribute+1],&newWhichAtt[attribute],(numAtt-attribute-1)*sizeof(int)); - bcopy(&offsetPredicates[attribute+1],&newOffsetPredicates[attribute] - ,(numAtt-attribute-1)*sizeof(int)); - bcopy(&predicates[offsetPredicates[attribute+1]],&newPredicates[offsetPredicates[attribute]] - ,(ruleSize-offsetPredicates[attribute+1])*sizeof(float)); - } - - - delete whichAtt; - whichAtt = newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt--; - ruleSize-=deletedSize; - - for(i=attribute;inumAttributesMC && !rndprobSpecializeList) { - int attMap[tGlobals->numAttributesMC]; - bzero(attMap,tGlobals->numAttributesMC*sizeof(int)); - for(i=0;inumAttributesMC-1); - } while(attMap[selectedAtt]==1); - - int addedSize=tReal->attributeSize[selectedAtt]; - int *newWhichAtt = new int[numAtt+1]; - int *newOffsetPredicates = new int[numAtt+1]; - float *newPredicates = new float[ruleSize+addedSize]; - - int index=0,index2=0; - while(indexattributeSize[whichAtt[index]]*sizeof(float)); - index2+=tReal->attributeSize[whichAtt[index]]; - index++; - } - newWhichAtt[index]=selectedAtt; - newOffsetPredicates[index]=index2; - - float sizeD=ai.getSizeDomain(selectedAtt); - float minD=ai.getMinDomain(selectedAtt); - float maxD=ai.getMaxDomain(selectedAtt); - float size=(!rnd*0.5+0.25)*sizeD; - float min=!rnd*(sizeD-size)+minD; - float max=min+size; - newPredicates[index2]=min; - newPredicates[index2+1]=max; - - if(index!=numAtt) { - bcopy(&whichAtt[index],&newWhichAtt[index+1],(numAtt-index)*sizeof(int)); - bcopy(&offsetPredicates[index],&newOffsetPredicates[index+1],(numAtt-index)*sizeof(int)); - bcopy(&predicates[index2],&newPredicates[index2+addedSize] - ,(ruleSize-offsetPredicates[index])*sizeof(float)); - } - - delete whichAtt; - whichAtt= newWhichAtt; - delete offsetPredicates; - offsetPredicates = newOffsetPredicates; - delete predicates; - predicates = newPredicates; - numAtt++; - ruleSize+=addedSize; - - for(i=index+1;i - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_list_real: public classifier { - - void crossover_1px(classifier_hyperrect_list_real *in1,classifier_hyperrect_list_real *in2 - ,classifier_hyperrect_list_real *out1,classifier_hyperrect_list_real *out2); - float mutationOffset(float geneValue,float offsetMin,float offsetMax); - void initializeChromosome(void); - -public: - float *predicates; - int *offsetPredicates; - int numAtt; - int *whichAtt; - int classValue; - int ruleSize; - - classifier_hyperrect_list_real(); - classifier_hyperrect_list_real(const classifier_hyperrect_list_real &orig,int son=0); - ~classifier_hyperrect_list_real(); - - inline void swapD(float &a,float &b) { - float temp=a; - a=b; - b=temp; - } - - - - inline int getClass() { - return classValue; - } - - - - inline int doMatch(instance * ins) - { - int i,base; - - for(i=0;irealValues[att]; - if(valuepredicates[base+1]) return 0; - } - return 1; - } - - inline virtual float * getPredicates() { - return predicates; - } - - inline virtual int * getWhichAtt() { - return whichAtt; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 2;} - void doSpecialStage(int); - - double getSizePercentage() { - float size=1; - - int i,j,index; - for (i = 0; i < numAtt; i++) { - int attIndex=whichAtt[i]; - int base=offsetPredicates[i]; - float maxSize=ai.getSizeDomain(attIndex); - - //printf("maxSize %f %f %f\n", maxSize, (predicates[base+1] - predicates[base]), (predicates[base+1] - predicates[base])/maxSize); - size *= (predicates[base+1] - predicates[base])/maxSize; - //printf("maxsize %f diff %f size %f\n", maxSize,predicates[base+1] - predicates[base],size ); - - //index+=tReal->attributeSize[attIndex]; - - } - - return size; - } - - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_list_real.o b/comparison_algs_src/postprocessing/classifier_hyperrect_list_real.o deleted file mode 100644 index 806ece5..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_hyperrect_list_real.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_sse.cpp b/comparison_algs_src/postprocessing/classifier_hyperrect_sse.cpp deleted file mode 100644 index 007b51d..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_sse.cpp +++ /dev/null @@ -1,306 +0,0 @@ -#include "classifier_hyperrect_sse.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_hyperrect_sse::computeTheoryLength() -{ - int i, j, k; - float *ptr = chromosome; - theoryLength = 0.0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - float vmin=ptr[j]; - float vmax=ptr[tReal->sizeBounds+j]; - double size=ai.getSizeDomain(j); - if(vmin0) { - theoryLength += 1.0 - (vmax-vmin) / size; - } - } - - theoryLength/=(double)tGlobals->numAttributesMC; - - return theoryLength; -} - -classifier_hyperrect_sse::classifier_hyperrect_sse() -{ - length = tReal->ruleSize; - chromosome = new aligned_float[tReal->ruleSize]; - classifier_hyperrect_sse::initializeChromosome(); -} - -classifier_hyperrect_sse::classifier_hyperrect_sse(const classifier_hyperrect_sse & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new aligned_float[tReal->ruleSize]; - bcopy(orig.chromosome, chromosome, - tReal->ruleSize * sizeof(float)); - } else { - chromosome = NULL; - } -} - -classifier_hyperrect_sse::~classifier_hyperrect_sse() -{ - delete chromosome; -} - -void classifier_hyperrect_sse::initializeChromosome() -{ - int i, j, k; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - double min,max; - double sizeD=ai.getSizeDomain(j); - double minD=ai.getMinDomain(j); - double maxD=ai.getMaxDomain(j); - if(!rndprobIrr) { - max=!rnd*sizeD+minD; - min=!rnd*(maxD-max)+max; - } else { - //double size=(!rnd*0.10+0.90)*ai.getSizeDomain(j); - double size=(!rnd*0.5+0.25)*sizeD; - if(ins) { - double val=ins->realValueOfAttribute(j); - min=val-size/2.0; - max=val+size/2.0; - if(minmaxD) { - min-=(max-maxD); - max=maxD; - } - } else { - min=!rnd*(sizeD-size)+minD; - max=min+size; - } - } - - setGene(j,0,min); - setGene(j,1,max); - } - for(;jsizeBounds;j++) { - chromosome[j]=1; - chromosome[j+tReal->sizeBounds]=0; - } - - int cl; - if(ins) { - cl=ins->getClass(); - } else { - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && cl==tGlobals->defaultClass); - } - setGene(tGlobals->numAttributesMC, 0, cl); -} - -void classifier_hyperrect_sse::setGene(short int gene, short int value, double nfo) -{ - if(genenumAttributesMC) { - chromosome[gene + value*tReal->sizeBounds] = (float)nfo; - } else { - chromosome[tReal->ruleSize-1] = (float)nfo; - } - modif = 1; -} - -double classifier_hyperrect_sse::getGene(short int gene, short int value) -{ - if(genenumAttributesMC) { - return chromosome[gene + value*tReal->sizeBounds]; - } else { - return chromosome[tReal->ruleSize-1]; - } -} - -void classifier_hyperrect_sse::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_hyperrect_sse *) in, - (classifier_hyperrect_sse *) out1, - (classifier_hyperrect_sse *) out2); -} - -double classifier_hyperrect_sse::mutationOffset(double geneValue, double offsetMin, - double offsetMax) -{ - double newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_hyperrect_sse::mutation() -{ - int i; - int attribute=-1, value; - - modif = 1; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,1); - } - - if (attribute != tGlobals->numAttributesMC) { - double oldValue=getGene(attribute,value); - double newValue; - double minOffset, maxOffset; - minOffset = maxOffset = - 0.5 * ai.getSizeDomain(attribute); - newValue = mutationOffset(oldValue, minOffset, - maxOffset); - if (newValue < ai.getMinDomain(attribute)) - newValue = ai.getMinDomain(attribute); - if (newValue > ai.getMaxDomain(attribute)) - newValue = ai.getMaxDomain(attribute); - setGene(attribute, value, newValue); - } else { - int newValue; - int oldValue = (int) getGene(attribute, value); - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } -} - -void classifier_hyperrect_sse::dumpPhenotype(char *string) -{ - float *ptr = chromosome; - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int numIntervals=0; - int i, j, k; - - strcpy(string, ""); - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - - double min = ptr[j]; - double max = ptr[j+tReal->sizeBounds]; - double size = ai.getSizeDomain(j); - - double sizeD=max-min; - if(minruleSize-1]; - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,cl)->cstr()); - strcat(string, temp); -} - -void classifier_hyperrect_sse::crossover_1px(classifier_hyperrect_sse * in1, - classifier_hyperrect_sse * in2, - classifier_hyperrect_sse * out1, - classifier_hyperrect_sse * out2) -{ - out1->modif = out2->modif = 1; - - out1->length = tReal->ruleSize; - out2->length = tReal->ruleSize; - out1->chromosome = new aligned_float[tReal->ruleSize]; - out2->chromosome = new aligned_float[tReal->ruleSize]; - - int cutPoint = rnd(0, tGlobals->numAttributesMC*2); - int att=cutPoint/2; - int value=cutPoint%2; - - - bcopy(in1->chromosome, - out1->chromosome, - att * sizeof(float)); - bcopy(in2->chromosome, - out2->chromosome, - att * sizeof(float)); - bcopy(&in1->chromosome[tReal->sizeBounds], - &out1->chromosome[tReal->sizeBounds], - att * sizeof(float)); - bcopy(&in2->chromosome[tReal->sizeBounds], - &out2->chromosome[tReal->sizeBounds], - att * sizeof(float)); - - if(value) { - out1->chromosome[att]=in1->chromosome[att]; - out2->chromosome[att]=in2->chromosome[att]; - out1->chromosome[att+tReal->sizeBounds]=in2->chromosome[att+tReal->sizeBounds]; - out2->chromosome[att+tReal->sizeBounds]=in1->chromosome[att+tReal->sizeBounds]; - att++; - } - - bcopy(&in1->chromosome[att], - &out2->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att], - &out1->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in1->chromosome[att+tReal->sizeBounds], - &out2->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att+tReal->sizeBounds], - &out1->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - - out1->chromosome[tReal->ruleSize-1]=in2->chromosome[tReal->ruleSize-1]; - out2->chromosome[tReal->ruleSize-1]=in1->chromosome[tReal->ruleSize-1]; -} - -void classifier_hyperrect_sse::postprocess() -{ -} - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_sse.h b/comparison_algs_src/postprocessing/classifier_hyperrect_sse.h deleted file mode 100644 index 77e3a19..0000000 --- a/comparison_algs_src/postprocessing/classifier_hyperrect_sse.h +++ /dev/null @@ -1,64 +0,0 @@ -#ifndef _CLASSIFIER_HYPERRECT_SSE_ -#define _CLASSIFIER_HYPERRECT_SSE_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -#include -#include "macros_sse.h" - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_hyperrect_sse: public classifier { - aligned_float *chromosome; - - /* Operadors de crossover i mutation */ - void crossover_1px(classifier_hyperrect_sse *in1,classifier_hyperrect_sse *in2 - ,classifier_hyperrect_sse *out1,classifier_hyperrect_sse *out2); - double getGene(short int attr,short int value); - void setGene(short int attr,short int value,double nfo); - double mutationOffset(double geneValue,double offsetMin,double offsetMax); - void initializeChromosome(void); - -public: - classifier_hyperrect_sse(); - classifier_hyperrect_sse(const classifier_hyperrect_sse &orig,int son=0); - ~classifier_hyperrect_sse(); - - inline int getClass() { - return (int) chromosome[tReal->ruleSize - 1]; - } - - inline int doMatch(instance * ins) - { - int i,j; - __m128i vecRes,vecTmp,vecOne; - __m128 v1,v2,v3; - vecOne=(__m128i){-1,-1}; - - for(j=0;jsizeBounds;j+=tReal->attPerBlock) { - VEC_MATCH(v1,&chromosome[j],v2 - ,&chromosome[j+tReal->sizeBounds],v3 - ,&ins->realValues[j],vecTmp,vecOne,vecRes); - if(!(0xFFFF==_mm_movemask_epi8(vecRes))) return 0; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_hyperrect_sse.o b/comparison_algs_src/postprocessing/classifier_hyperrect_sse.o deleted file mode 100644 index 3b1fd4c..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_hyperrect_sse.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.cpp b/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.cpp deleted file mode 100644 index 7756cab..0000000 --- a/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.cpp +++ /dev/null @@ -1,472 +0,0 @@ -#include "classifier_rotated_hyperrect.h" -#include "random.h" -#include -#include -#include -#include -#include "attributesInfo.h" -#include "timerGlobals.h" -#include "timerMutation.h" -#include "timerCrossover.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerRealKR.h" -#include "instanceSet.h" - -extern attributesInfo ai; -extern timerGlobals *tGlobals; -extern timerHierar *tHierar; -extern timerMutation *tMut; -extern timerCrossover *tCross; -extern timerMDL *tMDL; -extern timerRealKR *tReal; -extern instanceSet *is; -extern Random rnd; - -double classifier_rotated_hyperrect::computeTheoryLength() -{ - int i, j, k; - float *ptr = chromosome; - theoryLength = 0.0; - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - float vmin=ptr[j]; - float vmax=ptr[tReal->sizeBounds+j]; - if(vmin<=vmax) { - theoryLength += 1.0 - (vmax-vmin)/tReal->sizeD[j]; - } - } - - theoryLength/=(double)tGlobals->numAttributesMC; - - double defAngles=0; - int base=tReal->sizeBounds*2+1; - for(i=0;inumUsedAngles;i++,base+=2) { - if(ptr[base]!=tReal->step0) defAngles++; - } - defAngles/=(double)tReal->numUsedAngles; - theoryLength+=defAngles*0.05; - - return theoryLength; -} - -classifier_rotated_hyperrect::classifier_rotated_hyperrect() -{ - length = tReal->ruleSize; - chromosome = new float[tReal->ruleSize]; - classifier_rotated_hyperrect::initializeChromosome(); -} - -classifier_rotated_hyperrect::classifier_rotated_hyperrect(const classifier_rotated_hyperrect & orig, int son) -{ - *this = orig; - - if (!son) { - chromosome = new float[tReal->ruleSize]; - bcopy(orig.chromosome, chromosome, - tReal->ruleSize * sizeof(float)); - } else { - chromosome = NULL; - } -} - -classifier_rotated_hyperrect::~classifier_rotated_hyperrect() -{ - delete chromosome; -} - -void classifier_rotated_hyperrect::initializeChromosome() -{ - int i, j, k; - - instance *ins=NULL; - if(tGlobals->smartInit) { - if(tGlobals->defaultClassPolicy!=DISABLED) { - ins=is->getInstanceInit(tGlobals->defaultClass); - } else { - ins=is->getInstanceInit(ai.getNumClasses()); - } - } - - int index=tReal->sizeBounds*2; - int attMask[tGlobals->numAttributesMC]; - bzero(attMask,sizeof(int)*tGlobals->numAttributesMC); - int angleMask[tReal->numAngles]; - int countRotAtt=0; - bzero(angleMask,sizeof(int)*tReal->numAngles); - for(j=0;jnumUsedAngles;j++,index+=2) { - int angle; - do { - angle=rnd(0,tReal->numAngles-1); - } while(angleMask[angle]); - angleMask[angle]=1; - - if(attMask[tReal->angleList1[angle]]==0) countRotAtt++; - attMask[tReal->angleList1[angle]]=1; - if(attMask[tReal->angleList2[angle]]==0) countRotAtt++; - attMask[tReal->angleList2[angle]]=1; - - chromosome[index]=angle; - if(!rndprob0AngleInit) { - chromosome[index+1]=tReal->step0; - } else { - chromosome[index+1]=rnd(0,tReal->numSteps-1); - } - } - - int relAttIndex=0; - int rotAtts[countRotAtt]; - for(i=0;inumAttributesMC;i++) { - if(attMask[i]==1) { - rotAtts[relAttIndex++]=i; - } - } - relAttIndex=0; - - double probIrr=tReal->probIrr+(double)countRotAtt/(double)tGlobals->numAttributesMC; - - - float realValues[tGlobals->numAttributesMC]; - if(ins) { - bcopy(ins->realValues,realValues,sizeof(float)*tGlobals->numAttributesMC); - int index=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,index+=2) { - register int angle=(int)chromosome[index+1]; - if(angle!=tReal->step0) { - int pos1=tReal->angleList1[(int)chromosome[index]]; - int pos2=tReal->angleList2[(int)chromosome[index]]; - float newX=realValues[pos1]*tReal->cosTable[angle] - -realValues[pos2]*tReal->sinTable[angle]; - float newY=realValues[pos1]*tReal->sinTable[angle] - +realValues[pos2]*tReal->cosTable[angle]; - realValues[pos1]=newX; - realValues[pos2]=newY; - } - } - - } - - - for (j = 0; j < tGlobals->numAttributesMC; j++) { - double min,max; - if(rotAtts[relAttIndex]!=j && !rndsizeD[j]+tReal->minD[j]; - min=!rnd*(tReal->maxD[j]-max)+max; - } else { - if(rotAtts[relAttIndex]==j) relAttIndex++; - double size=(!rnd*0.5+0.25)*tReal->sizeD[j]; - if(ins) { - double val=realValues[j]; - min=val-size/2.0; - max=val+size/2.0; - if(minminD[j]) { - max+=(tReal->minD[j]-min); - min=tReal->minD[j]; - } - if(max>tReal->maxD[j]) { - min-=(max-tReal->maxD[j]); - max=tReal->maxD[j]; - } - } else { - min=!rnd*(tReal->sizeD[j]-size)+tReal->minD[j]; - max=min+size; - } - } - - setGene(j,0,min); - setGene(j,1,max); - } - - for(;jsizeBounds;j++) { - chromosome[j]=1; - chromosome[j+tReal->sizeBounds]=0; - } - - - int cl; - if(ins) { - cl=ins->getClass(); - } else { - do { - cl=rnd(0,ai.getNumClasses()-1); - } while(tGlobals->defaultClassPolicy!=DISABLED && cl==tGlobals->defaultClass); - } - setGene(tGlobals->numAttributesMC, 0, cl); -} - -void classifier_rotated_hyperrect::setGene(short int gene, short int value, double nfo) -{ - if(genenumAttributesMC) { - chromosome[gene + value*tReal->sizeBounds] = (float)nfo; - } else { - chromosome[tReal->ruleSize-1] = (float)nfo; - } - modif = 1; -} - -double classifier_rotated_hyperrect::getGene(short int gene, short int value) -{ - if(genenumAttributesMC) { - return chromosome[gene + value*tReal->sizeBounds]; - } else { - return chromosome[tReal->ruleSize-1]; - } -} - -void classifier_rotated_hyperrect::crossover(classifier * in, - classifier * out1, classifier * out2) -{ - crossover_1px(this, (classifier_rotated_hyperrect *) in, - (classifier_rotated_hyperrect *) out1, - (classifier_rotated_hyperrect *) out2); -} - -double classifier_rotated_hyperrect::mutationOffset(double geneValue, double offsetMin, - double offsetMax) -{ - double newValue; - if (!rnd < 0.5) { - newValue = geneValue + !rnd * offsetMax; - } else { - newValue = geneValue - !rnd * offsetMin; - } - return newValue; -} - -void classifier_rotated_hyperrect::mutation() -{ - int i; - int attribute=-1, value; - - modif = 1; - - int modifAngles=0; - - if(tGlobals->numClasses>1 && !rnd<0.10) { - attribute = tGlobals->numAttributesMC; - value=0; - } else { - attribute=rnd(0,tGlobals->numAttributesMC-1); - value=rnd(0,1); - } - - if (attribute != tGlobals->numAttributesMC) { - double oldValue=getGene(attribute,value); - double newValue; - double minOffset, maxOffset; - minOffset = maxOffset = - 0.5 * tReal->sizeD[attribute]; - newValue = mutationOffset(oldValue, minOffset, - maxOffset); - if (newValue < tReal->minD[attribute]) - newValue = tReal->minD[attribute]; - if (newValue > tReal->maxD[attribute]) - newValue = tReal->maxD[attribute]; - setGene(attribute, value, newValue); - } else { - int newValue; - int oldValue = (int) getGene(attribute, value); - do { - newValue = rnd(0, ai.getNumClasses()-1); - } while (newValue == oldValue || tGlobals->defaultClassPolicy!=DISABLED && newValue==tGlobals->defaultClass); - setGene(attribute, value, newValue); - } - - int pos=tReal->sizeBounds*2+rnd(0,tReal->sizeAngles-1); - if(pos%2) { - if(!rndprob0AngleMut) { - chromosome[pos]=tReal->step0; - } else { - int newValue=(int)chromosome[pos]; - if(!rnd<0.5) { - newValue+=rnd(1,tReal->mutSteps); - if(newValue>=tReal->numSteps) newValue=tReal->numSteps-1; - } else { - newValue-=rnd(1,tReal->mutSteps); - if(newValue<0) newValue=0; - } - chromosome[pos]=newValue; - } - } else { - int angleMask[tReal->numAngles]; - bzero(angleMask,tReal->numAngles*sizeof(int)); - - chromosome[pos]=rnd(0,tReal->numAngles-1); - int base=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,base+=2) { - if(angleMask[(int)chromosome[base]]) { - int pos; - do { - pos=rnd(0,tReal->numAngles-1); - } while(angleMask[pos]); - chromosome[base]=pos; - } - angleMask[(int)chromosome[base]]=1; - } - } -} - -void classifier_rotated_hyperrect::dumpPhenotype(char *string) -{ - float *ptr = chromosome; - char temp[10000]; - char temp2[10000]; - char tmp1[20]; - char tmp2[20]; - int numIntervals=0; - int i, j, k; - - strcpy(string, ""); - for (j = 0; j < tGlobals->numAttributesMC; j++) { - sprintf(temp,"Att %s is " - ,ai.getAttributeName(j)->cstr()); - int irr=1; - - double min = ptr[j]; - double max = ptr[j+tReal->sizeBounds]; - - double size=max-min; - if(minsizeD[j]) { - irr=0; - if(min>tReal->minD[j]) { - if(maxmaxD[j]) { - sprintf(temp2, "[%f,%f]", min, max); - strcat(temp,temp2); - } else { - sprintf(temp2, "[>%f]", min); - strcat(temp,temp2); - } - } else { - sprintf(temp2, "[<%f]", max); - strcat(temp,temp2); - } - } - - if(!irr) { - strcat(string, temp); - strcat(string, "|"); - } - } - - - strcat(string,"|"); - int index=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,index+=2) { - if(ptr[index+1]!=tReal->step0) { - sprintf(temp,"Angle %s %s : %f|" - ,ai.getAttributeName(tReal->angleList1[(int)ptr[index]])->cstr() - ,ai.getAttributeName(tReal->angleList2[(int)ptr[index]])->cstr() - ,(ptr[index+1]-tReal->step0)*tReal->stepRatio); - strcat(string,temp); - } - } - - int cl=(int)ptr[tReal->ruleSize-1]; - sprintf(temp, "%s\n", ai.getNominalValue(tGlobals->numAttributesMC,cl)->cstr()); - strcat(string, temp); -} - -void classifier_rotated_hyperrect::crossover_1px(classifier_rotated_hyperrect * in1, - classifier_rotated_hyperrect * in2, - classifier_rotated_hyperrect * out1, - classifier_rotated_hyperrect * out2) -{ - int i; - - out1->modif = out2->modif = 1; - - out1->length = tReal->ruleSize; - out2->length = tReal->ruleSize; - out1->chromosome = new float[tReal->ruleSize]; - out2->chromosome = new float[tReal->ruleSize]; - - int cutPoint = rnd(0, tGlobals->numAttributesMC*2); - - int att=cutPoint/2; - int value=cutPoint%2; - - - bcopy(in1->chromosome, - out1->chromosome, - att * sizeof(float)); - bcopy(in2->chromosome, - out2->chromosome, - att * sizeof(float)); - bcopy(&in1->chromosome[tReal->sizeBounds], - &out1->chromosome[tReal->sizeBounds], - att * sizeof(float)); - bcopy(&in2->chromosome[tReal->sizeBounds], - &out2->chromosome[tReal->sizeBounds], - att * sizeof(float)); - - if(value) { - out1->chromosome[att]=in1->chromosome[att]; - out2->chromosome[att]=in2->chromosome[att]; - out1->chromosome[att+tReal->sizeBounds]=in2->chromosome[att+tReal->sizeBounds]; - out2->chromosome[att+tReal->sizeBounds]=in1->chromosome[att+tReal->sizeBounds]; - att++; - } - - bcopy(&in1->chromosome[att], - &out2->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att], - &out1->chromosome[att], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in1->chromosome[att+tReal->sizeBounds], - &out2->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - bcopy(&in2->chromosome[att+tReal->sizeBounds], - &out1->chromosome[att+tReal->sizeBounds], - (tReal->sizeBounds-att) * sizeof(float)); - - out1->chromosome[tReal->ruleSize-1]=in2->chromosome[tReal->ruleSize-1]; - out2->chromosome[tReal->ruleSize-1]=in1->chromosome[tReal->ruleSize-1]; - - - int cutPoint2 = rnd(0,tReal->sizeAngles-1); - int base=tReal->sizeBounds*2; - bcopy(&in1->chromosome[base], - &out1->chromosome[base], - cutPoint2 * sizeof(float)); - bcopy(&in2->chromosome[base], - &out2->chromosome[base], - cutPoint2 * sizeof(float)); - bcopy(&in1->chromosome[base+cutPoint2], - &out2->chromosome[base+cutPoint2], - (tReal->sizeAngles-cutPoint2) * sizeof(float)); - bcopy(&in2->chromosome[base+cutPoint2], - &out1->chromosome[base+cutPoint2], - (tReal->sizeAngles-cutPoint2) * sizeof(float)); - - int angleMask[tReal->numAngles]; - bzero(angleMask,tReal->numAngles*sizeof(int)); - for(i=0;inumUsedAngles;i++,base+=2) { - if(angleMask[(int)out1->chromosome[base]]) { - int pos; - do { - pos=rnd(0,tReal->numAngles-1); - } while(angleMask[pos]); - out1->chromosome[base]=pos; - } - angleMask[(int)out1->chromosome[base]]=1; - } - - bzero(angleMask,tReal->numAngles*sizeof(int)); - base=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,base+=2) { - if(angleMask[(int)out2->chromosome[base]]) { - int pos; - do { - pos=rnd(0,tReal->numAngles-1); - } while(angleMask[pos]); - out2->chromosome[base]=pos; - } - angleMask[(int)out2->chromosome[base]]=1; - } -} - -void classifier_rotated_hyperrect::postprocess() -{ -} - diff --git a/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.h b/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.h deleted file mode 100644 index fdef7e6..0000000 --- a/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.h +++ /dev/null @@ -1,96 +0,0 @@ -#ifndef _CLASSIFIER_ROTATED_HYPERRECT_ -#define _CLASSIFIER_ROTATED_HYPERRECT_ - -#include "classifier.h" -#include "timerRealKR.h" -#include "timerGlobals.h" -#include "agentPerformanceTraining.h" - -#include -#include "macros_sse.h" - -extern timerRealKR *tReal; -extern timerGlobals *tGlobals; - -class classifier_rotated_hyperrect: public classifier { - float *chromosome; - - /* Operadors de crossover i mutation */ - void crossover_1px(classifier_rotated_hyperrect *in1,classifier_rotated_hyperrect *in2 - ,classifier_rotated_hyperrect *out1,classifier_rotated_hyperrect *out2); - double getGene(short int attr,short int value); - void setGene(short int attr,short int value,double nfo); - double mutationOffset(double geneValue,double offsetMin,double offsetMax); - void initializeChromosome(void); - -public: - classifier_rotated_hyperrect(); - classifier_rotated_hyperrect(const classifier_rotated_hyperrect &orig,int son=0); - ~classifier_rotated_hyperrect(); - - inline int getClass() { - return (int) chromosome[tReal->ruleSize - 1]; - } - - inline int doMatch(instance * ins) - { - int i,j; - __m128i vecRes,vecTmp,vecOne; - __m128 v1,v2,v3; - vecOne=(__m128i){-1,-1}; - float realValues[tReal->sizeBounds]; - - bcopy(ins->realValues,realValues,sizeof(float)*tReal->sizeBounds); - - int index=tReal->sizeBounds*2; - for(i=0;inumUsedAngles;i++,index+=2) { - register int angle=(int)chromosome[index+1]; - if(angle!=tReal->step0) { - int pos1=tReal->angleList1[(int)chromosome[index]]; - int pos2=tReal->angleList2[(int)chromosome[index]]; - float newX=realValues[pos1]*tReal->cosTable[angle] - -realValues[pos2]*tReal->sinTable[angle]; - float newY=realValues[pos1]*tReal->sinTable[angle] - +realValues[pos2]*tReal->cosTable[angle]; - realValues[pos1]=newX; - realValues[pos2]=newY; - } - } - - /*for(i=0;inumAttributesMC;i++) { - if(realValues[i]minD[i] || realValues[i]>tReal->maxD[i]) { - char string[10000]; - dumpPhenotype(string); - printf("Rule %s produces out of range value %d:%f for instance\n",string,i,realValues[i]); - ins->dumpInstance(); - for(j=0;jnumAttributesMC;j++) { - printf("%.3f ",realValues[j]); - } - printf("\n"); - exit(1); - } - }*/ - - for(j=0;jsizeBounds;j+=tReal->attPerBlock) { - VEC_MATCH(v1,&chromosome[j],v2 - ,&chromosome[j+tReal->sizeBounds],v3 - ,&realValues[j],vecTmp,vecOne,vecRes); - if(!(0xFFFF==_mm_movemask_epi8(vecRes))) return 0; - } - - return 1; - } - - double computeTheoryLength(); - void crossover(classifier *,classifier *,classifier *); - void mutation(); - void dumpPhenotype(char *string); - - inline int numSpecialStages(){return 0;} - void doSpecialStage(int stage){} - - void postprocess(); -}; - -#endif - diff --git a/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.o b/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.o deleted file mode 100644 index 69aec4f..0000000 Binary files a/comparison_algs_src/postprocessing/classifier_rotated_hyperrect.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/configCodes.h b/comparison_algs_src/postprocessing/configCodes.h deleted file mode 100644 index 2cbef43..0000000 --- a/comparison_algs_src/postprocessing/configCodes.h +++ /dev/null @@ -1,207 +0,0 @@ -#ifndef _CONFIG_CODES_ -#define _CONFIG_CODES_ - -#define PROB_CROSSOVER 10 -#define POP_SIZE 20 -#define ITERATIONS 30 -#define INITIALIZATION_MIN_CLASSIFIERS 40 -#define INITIALIZATION_MAX_CLASSIFIERS 50 -#define IGNORE_MISSING_VALUES 60 -#define DUMP_POPULATION 70 - -#define SELECTION_ALGORITHM 80 - #define TOURNAMENT_SELECTION 1 - #define TOURNAMENT_WOR_SELECTION 2 - #define PARETO_SELECTION 3 -#define TOURNAMENT_SIZE 90 -#define SHOW_FRONTS 100 - -#define CROSSOVER_OPERATOR 110 - #define CROSS_1P 1 - #define CROSS_2P 2 - #define CROSS_INFORMED 3 - -#define FITNESS_FUNCTION 130 - #define ACCURACY 1 - #define MDL 2 -#define MDL_WEIGHT_RELAX_FACTOR 140 -#define MDL_ITERATION 150 -#define MDL_INITIAL_TL_RATIO 170 - -#define MAX_MIN 180 - #define MAXIMIZE 1 - #define MINIMIZE 2 - -#define PRUNING_ITERATION 190 -#define PRUNING_MIN_CLASSIFIERS 200 -#define PRUNING_AUTO_THRESHOLD 205 -#define PRUNING_AUTO_THRESHOLD2 206 -#define PRUNING_AUTO_OFFSET 207 - -#define PROB_INDIVIDUAL_MUTATION 210 - -#define HIERARCHICAL_SELECTION_ITERATION 220 -#define HIERARCHICAL_SELECTION_THRESHOLD 230 -#define HIERARCHICAL_SELECTION_USES_MDL 240 - -#define CHECK_WINDOWING 250 -#define WINDOWING_ILAS 260 -#define WINDOWING_GWS 270 - -#define PROB_ONE 280 -#define PROB_SHARP 290 - -#define KR_ADI 300 -#define PROB_MERGE 310 -#define PROB_SPLIT 320 -#define PROB_REINITIALIZE 330 -#define PROB_REINITIALIZE_AT_END 340 -#define MAX_INTERVALS 350 -#define DUMP_DISCRETIZERS 360 - -#define KR_HYPERRECT 370 -#define KR_HYPERRECT_LIST 373 -#define KR_HYPERRECT_LIST_REAL 374 -#define KR_HYPERRECT_SSE 375 -#define KR_ROTATED_HYPERRECT 376 -#define KR_HYPERRECT_LIST_DISCRETE 377 - -#define KR_LCS 380 -#define KR_INSTANCE_SET 390 - -#define D_OF_FR 400 -#define N_OF_SBX 410 -#define ALPHA_OF_BLX 420 - -#define KR_GABIL 430 - -#define PENALIZE_MIN_SIZE 440 -#define PENALIZE_MIN_SIZE_AT_END 450 - -#define TOTAL_TIME 460 - -#define DEFAULT_CLASS 470 - #define MAJOR 1 - #define MINOR 2 - #define DISABLED 3 - #define AUTO 4 - #define FIXED 5 - -#define FIXED_DEFAULT_CLASS 475 - -#define DUMP_EVOLUTION_STATS 480 - -#define PARETO_SELECTION_ITERATION 490 - -#define CLASS_WISE_INIT 500 - -#define PRUNING_POLICY 510 - #define FTB 1 - #define BTF 2 - #define RANDOM 3 - -#define HARD_NICHING_DISABLE 520 - -#define SMART_INIT 530 -#define DUMP_ACTIVATION 540 - -#define CLASS_WISE_ACC 550 - -#define PROB_SMART_CROSSOVER 570 -#define NUM_PARENTS_SMART_CROSSOVER 580 - -#define ADD_RULES_SMART_CROSSOVER 610 -#define REPETITIONS_RULE_ORDERING 620 -#define ELITISM_WITH_SMART_CROSSOVER 630 -#define ELITISM_LAST_ITERATION_WITH_SMART_CROSSOVER 640 - - -#define DUMP_GENOTYPE_ITERATIONS 650 - -#define FILTER_SMART_CROSSOVER 660 -#define MDL_WEIGHT 670 -#define RULE_CLEANING_PROB 680 -#define RULE_GENERALIZING_PROB 690 -#define INFORMED_CROSSOVER 700 - -#define COVERAGE_BREAKPOINT 710 -#define REPETITIONS_RULE_LEARNING 720 -#define COVERAGE_RATIO 730 - -#define ROTATE_HYPERRECTANGLES 740 -#define RESTRICTED_ROTATED_ATTRIBUTES 750 -#define PROB_0ANGLE_MUT 760 -#define PROB_0ANGLE_INIT 770 - -#define COVERAGE_INIT 780 -#define EXPRESSED_ATT_INIT 790 - -#define PROB_GENERALIZE_LIST 800 -#define PROB_SPECIALIZE_LIST 810 -#define HYPERRECT_LIST 820 - -#define COVERAGE_BREAK_HEURISTIC 830 -#define MAX_NUMBER_RULES_COVADJ 840 -#define RULES_STEP_COVADJ 850 -#define MAX_ACC_REP 860 -#define NUMBER_REP 870 - -#define PERC_DEVICE_MEM 900 -#define DEVICE_SELECTED 910 -#define CUDA_ENABLED 920 - -#define OPERATOR1_POLICY 1000 - #define CL 1 - #define CL2 2 - #define PR 3 - #define SW 4 - #define NONE 5 - -#define OPERATOR2_POLICY 1010 - #define CL 1 - #define CL2 2 - #define PR 3 - #define SW 4 - #define NONE 5 - -#define OPERATOR3_POLICY 1020 - #define CL 1 - #define CL2 2 - #define PR 3 - #define SW 4 - #define NONE 5 - -#define OPERATOR4_POLICY 1030 - #define CL 1 - #define CL2 2 - #define PR 3 - #define SW 4 - #define NONE 5 - -#define OPERATOR5_POLICY 1040 - #define CL 1 - #define CL2 2 - #define PR 3 - #define SW 4 - #define NONE 5 - -#define OPERATOR6_POLICY 1050 - #define CL 1 - #define CL2 2 - #define PR 3 - #define SW 4 - #define NONE 5 - -#define TRAIN_STATS_ENABLED 1060 - #define ALL 1 - #define START 2 - #define END 3 - -#define TEST_STATS_ENABLED 1070 - #define ALL 1 - #define START 2 - #define END 3 - -typedef float __attribute__ ((aligned (4))) aligned_float; - -#endif diff --git a/comparison_algs_src/postprocessing/configManagement.h b/comparison_algs_src/postprocessing/configManagement.h deleted file mode 100644 index 38f4376..0000000 --- a/comparison_algs_src/postprocessing/configManagement.h +++ /dev/null @@ -1,31 +0,0 @@ -#ifndef _CONFIG_MANAGEMENT_ - -#define _CONFIG_MANAGEMENT_ - -#include "dictionary.h" -#include "configCodes.h" - -class configManagement -{ - private: - dictionary configuration; - - public: - inline double getParameter(int code) { - return(configuration.getContent(code)); - } - - inline void removeParameter(int code) { - configuration.removeContent(code); - } - - inline void setParameter(double value,int code) { - configuration.insertContent(value,code); - } - - int thereIsParameter(int code) { - return(configuration.keyExists(code)); - } -}; - -#endif diff --git a/comparison_algs_src/postprocessing/dictionary.h b/comparison_algs_src/postprocessing/dictionary.h deleted file mode 100644 index 1893373..0000000 --- a/comparison_algs_src/postprocessing/dictionary.h +++ /dev/null @@ -1,148 +0,0 @@ -#ifndef _DICTIONARY_H_ -#define _DICTIONARY_H_ - -#include -#include - -template class node -{ - private: - X content; - int key; - node *next; - - public: - node(X _content,int _key) {content=_content;key=_key; next=NULL;} - node() {next=NULL;} - int getKey() {return key;} - X getContent() {return content;} - void updateContent(X _content) {content=_content;} - void setNext(node *_next) {next=_next;} - node *getNext() {return next;} -}; - -template class dictionary -{ - private: - node *first; - - void insertNew(X element,int key); - public: - dictionary(); - ~dictionary(); - void insertContent(X element,int key); - void removeContent(int key); - X getContent(int key); - int keyExists(int key); -}; - - -template dictionary::dictionary() -{ - first=new node; -} - -template dictionary::~dictionary() -{ - node *tmp; - - while(first!=NULL) { - tmp=first; - first=first->getNext(); - delete tmp; - } -} - - -template void dictionary::insertNew(X element,int key) -{ - node *tmp=new node(element,key); - tmp->setNext(first->getNext()); - first->setNext(tmp); -} - - -template void dictionary::insertContent(X element,int key) -{ - node *tmp; - int found=0; - - tmp=first->getNext(); - - while(!found && tmp!=NULL) { - if(key==tmp->getKey()) { - found=1; - tmp->updateContent(element); - } - else tmp=tmp->getNext(); - } - if(!found) { - insertNew(element,key); - } -} - -template X dictionary::getContent(int key) -{ - node *tmp; - int found=0; - X element; - - tmp=first->getNext(); - - while(!found && tmp!=NULL) { - if(key==tmp->getKey()) { - found=1; - element=tmp->getContent(); - } - else tmp=tmp->getNext(); - } - if(!found) { - fprintf(stderr,"dictionary:getContent:no found %d\n",key); - fprintf(stderr,"Search configCodes.h for the meaning of the code\n"); - exit(1); - } - return element; -} - -template void dictionary::removeContent(int key) -{ - node *tmp; - int found=0; - X element; - - tmp=first; - - while(tmp->getNext()!=NULL) { - if(key==tmp->getNext()->getKey()) { - node *tmp2=tmp->getNext(); - tmp->setNext(tmp2->getNext()); - delete tmp2; - return; - } - tmp=tmp->getNext(); - } -} - - - -template int dictionary::keyExists(int key) -{ -#define TRUE 1 -#define FALSE 0 - - node *tmp; - int found=FALSE; - - tmp=first->getNext(); - - while(!found && tmp!=NULL) { - if(key==tmp->getKey()) { - found=TRUE; - } - else tmp=tmp->getNext(); - } - return found; -} - - -#endif diff --git a/comparison_algs_src/postprocessing/example/RuleSet0 b/comparison_algs_src/postprocessing/example/RuleSet0 deleted file mode 100644 index 5138286..0000000 --- a/comparison_algs_src/postprocessing/example/RuleSet0 +++ /dev/null @@ -1,192 +0,0 @@ -Att education is Bachelors,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att capital-gain is [>10841.675781]|>50K -Att age is [>47.580864]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>13.005424]|Att capital-loss is [>1704.922607]|>50K -Att capital-gain is [>36569.398438]|>50K -Att education is Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [12.703605,15.711181]|Att occupation is Tech-support,Craft-repair,Other-service,Exec-managerial,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att capital-loss is [>1855.051758]|>50K -Att education is Bachelors,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att sex is Male|Att capital-gain is [>7400.374512]|>50K -Att workclass is Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att occupation is Tech-support,Craft-repair,Other-service,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att capital-gain is [>7111.356445]|>50K -Att age is [>23.486351]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att capital-gain is [>11144.564453]|>50K -Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att capital-gain is [>7246.770508]|Att hours-per-week is [>49.971096]|>50K -Att age is [<60.907272]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att relationship is Wife,Own-child,Husband,Other-relative|Att capital-gain is [>7100.668457]|>50K -Att education-num is [11.488037,15.898380]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att relationship is Wife,Husband,Not-in-family,Other-relative,Unmarried|Att capital-gain is [<97543.476562]|Att capital-loss is [1942.741577,1978.685913]|Att hours-per-week is [>1.332811]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Honduras,Italy,Poland,Jamaica,Vietnam,Mexico,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong|>50K -Att age is [24.903696,57.249977]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,10th,5th-6th,Preschool|Att marital-status is Married-civ-spouse,Divorced,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att capital-gain is [>5065.727051]|>50K -Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att relationship is Wife,Husband,Other-relative|Att capital-loss is [1854.165161,1894.221924]|>50K -Att workclass is Private,Self-emp-not-inc,Local-gov,State-gov,Without-pay,Never-worked|Att education-num is [>11.848999]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att relationship is Own-child,Husband,Other-relative,Unmarried|Att capital-loss is [1787.198975,1941.358643]|>50K -Att age is [44.139885,53.063652]|Att workclass is Private,Federal-gov,Local-gov,Without-pay|Att education-num is [>16.000000]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Other-service,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att hours-per-week is [37.485321,59.284420]|>50K -Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,1st-4th,10th,5th-6th|Att education-num is [>12.965054]|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att hours-per-week is [44.373173,51.207119]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Ireland,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [44.778099,60.794777]|Att workclass is Private,Federal-gov,State-gov,Without-pay,Never-worked|Att education is 11th,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [13.587448,15.990416]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Tech-support,Other-service,Exec-managerial,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att sex is Male|Att hours-per-week is [48.416256,96.460464]|Att native-country is United-States,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Ireland,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Yugoslavia,Trinadad&Tobago,Peru,Hong|>50K -Att age is [41.110844,49.286900]|Att workclass is Self-emp-inc,Federal-gov,State-gov,Without-pay|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,12th,Masters,10th,5th-6th,Preschool|Att education-num is [>11.058311]|Att occupation is Tech-support,Sales,Prof-specialty,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo|Att capital-gain is [<51706.667969]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,South,Cuba,Iran,Honduras,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Ecuador,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong|>50K -Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>10.149487]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv,Armed-Forces|Att capital-loss is [>2352.589111]|>50K -Att age is [<88.922607]|Att workclass is Private,Self-emp-inc,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,9th,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [13.785851,14.262033]|Att marital-status is Married-civ-spouse,Separated,Married-AF-spouse|Att occupation is Other-service,Sales,Exec-managerial,Handlers-cleaners,Priv-house-serv,Protective-serv,Armed-Forces|Att hours-per-week is [>59.276161]|>50K -Att workclass is Private,Self-emp-not-inc,Self-emp-inc,State-gov,Without-pay|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Handlers-cleaners,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att capital-gain is [<49799.496094]|Att capital-loss is [1770.624023,1992.450195]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Scotland,Thailand,Trinadad&Tobago,Peru,Hong|>50K -Att workclass is Private,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<1065001.125000]|Att education is Some-college,11th,HS-grad,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [12.090843,15.909157]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Other-service,Exec-managerial,Handlers-cleaners,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other,Black|Att hours-per-week is [>47.075485]|Att native-country is United-States,Cambodia,England,Puerto-Rico,India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [32.124897,41.572636]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att education-num is [14.273416,15.461076]|Att occupation is Tech-support,Other-service,Exec-managerial,Prof-specialty,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att hours-per-week is [>53.197865]|>50K -Att age is [49.172459,63.317455]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [>279477.281250]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [10.379189,15.299911]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Handlers-cleaners,Adm-clerical,Priv-house-serv,Protective-serv|Att relationship is Wife,Own-child,Husband,Other-relative|Att capital-loss is [<4351.676270]|Att hours-per-week is [40.966393,73.937622]|>50K -Att age is [>36.130207]|Att workclass is Private,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [164143.875000,1313507.000000]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>14.252657]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [<99187.164062]|Att hours-per-week is [20.733669,46.517086]|>50K -Att age is [54.131290,60.245369]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov|Att fnlwgt is [51918.628906,1017852.500000]|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,10th,Doctorate,Preschool|Att education-num is [>12.052315]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Machine-op-inspct,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband|Att sex is Male|Att capital-gain is [<32416.912109]|Att hours-per-week is [20.945793,40.464069]|Att native-country is United-States,England,Puerto-Rico,Canada,South,China,Iran,Philippines,Italy,Poland,Vietnam,Portugal,Ireland,France,Dominican-Republic,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [33.091629,52.681087]|Att workclass is Self-emp-inc,Local-gov,State-gov,Without-pay|Att fnlwgt is [<506581.593750]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,Doctorate,5th-6th,Preschool|Att education-num is [>13.362398]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Transport-moving,Protective-serv|Att relationship is Wife|Att hours-per-week is [>31.909784]|>50K -Att age is [47.211468,59.913044]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-acdm,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>12.210481]|Att occupation is Craft-repair,Other-service,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-loss is [<1572.499634]|Att hours-per-week is [40.938026,48.711685]|>50K -Att age is [35.321514,48.928043]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [>254831.468750]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th|Att education-num is [>11.009541]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Machine-op-inspct,Priv-house-serv,Protective-serv|Att relationship is Wife,Own-child,Husband|Att race is White,Asian-Pac-Islander|Att capital-loss is [<1447.547485]|Att hours-per-week is [47.883690,69.035751]|Att native-country is United-States,Canada,Germany,India,Japan,China,Iran,Honduras,Philippines,Italy,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru|>50K -Att age is [45.003761,84.363876]|Att workclass is Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<691783.500000]|Att education is HS-grad,Prof-school,9th,7th-8th,12th,Masters,1st-4th,Doctorate,Preschool|Att education-num is [>9.491746]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Priv-house-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att race is White,Amer-Indian-Eskimo,Other,Black|Att hours-per-week is [28.160200,83.839798]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,India,Japan,Greece,China,Cuba,Iran,Honduras,Italy,Poland,Vietnam,Portugal,Ireland,Laos,Ecuador,Taiwan,Haiti,Columbia,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [47.783924,53.186378]|Att workclass is Private,Self-emp-inc,State-gov,Without-pay|Att education-num is [>10.296304]|Att occupation is Tech-support,Other-service,Exec-managerial,Prof-specialty,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband|Att race is White,Other,Black|Att capital-loss is [<4229.311523]|Att hours-per-week is [48.010048,52.641651]|>50K -Att age is [<56.495941]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Never-worked|Att fnlwgt is [162529.015625,838694.187500]|Att education is Bachelors,11th,HS-grad,Prof-school,9th,7th-8th,12th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>14.856051]|Att occupation is Tech-support,Other-service,Sales,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband,Other-relative|Att capital-gain is [<93651.757812]|Att hours-per-week is [26.611406,55.360657]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,South,Cuba,Iran,Honduras,Philippines,Italy,Poland,Portugal,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Holand-Netherlands|>50K -Att age is [32.386478,41.829269]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [>154981.359375]|Att education is Bachelors,Some-college,11th,Prof-school,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate|Att education-num is [10.716559,13.648298]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Other-service,Exec-managerial,Handlers-cleaners,Machine-op-inspct,Priv-house-serv,Armed-Forces|Att relationship is Wife,Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo|Att hours-per-week is [48.864037,59.971504]|Att native-country is United-States,Cambodia,Puerto-Rico,Germany,Japan,Greece,South,China,Cuba,Iran,Honduras,Italy,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [39.171310,50.202660]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,11th,7th-8th,12th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [>11.971729]|Att marital-status is Married-civ-spouse|Att occupation is Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-gain is [<0.000000]|Att capital-loss is [<3732.235840]|Att hours-per-week is [43.130867,47.286781]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,India,Japan,Greece,South,China,Cuba,Iran,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Dominican-Republic,Laos,Haiti,Columbia,Hungary,Nicaragua,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [>54.277092]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-voc,9th,7th-8th,10th,Doctorate,5th-6th|Att education-num is [12.484310,15.196070]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att hours-per-week is [46.836739,55.425514]|>50K -Att age is [41.935215,71.829666]|Att workclass is Private,Self-emp-not-inc,Federal-gov,Local-gov,Never-worked|Att fnlwgt is [<170590.546875]|Att education is 11th,HS-grad,Prof-school,Assoc-voc,7th-8th,10th,Doctorate,Preschool|Att education-num is [>16.000000]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Machine-op-inspct,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att sex is Male|Att capital-loss is [<3402.498779]|Att hours-per-week is [>22.768911]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Greece,China,Iran,Philippines,Italy,Jamaica,Vietnam,Mexico,France,Laos,Ecuador,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [41.951027,50.779579]|Att workclass is Self-emp-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>13.963198]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent|Att occupation is Sales,Exec-managerial,Prof-specialty,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Black|Att capital-gain is [<72123.617188]|Att hours-per-week is [30.659515,42.712666]|>50K -Att age is [>44.503483]|Att workclass is Private,Local-gov,Without-pay,Never-worked|Att fnlwgt is [<591628.250000]|Att education is Bachelors,HS-grad,Assoc-acdm,9th,7th-8th,12th,1st-4th,10th|Att education-num is [>9.996777]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent|Att occupation is Exec-managerial,Priv-house-serv,Protective-serv,Armed-Forces|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-loss is [<1280.892700]|Att hours-per-week is [48.622025,61.056068]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Cuba,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Thailand,Yugoslavia,El-Salvador,Peru,Hong|>50K -Att age is [37.125484,63.585545]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Never-worked|Att fnlwgt is [>343937.093750]|Att education-num is [12.640562,15.751686]|Att occupation is Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Husband|Att capital-loss is [<220.805984]|Att hours-per-week is [7.717467,56.733025]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,India,Japan,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Portugal,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [36.725983,60.941467]|Att workclass is Private,Self-emp-not-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,1st-4th,10th,Doctorate,Preschool|Att education-num is [11.503927,15.091043]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Handlers-cleaners,Priv-house-serv,Armed-Forces|Att relationship is Wife,Other-relative|Att race is White|Att sex is Female|Att capital-loss is [<3905.049072]|Att hours-per-week is [28.138191,41.010082]|>50K -Att age is [28.316071,42.683598]|Att workclass is Private,Self-emp-inc,Never-worked|Att fnlwgt is [<216633.406250]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>12.980889]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent|Att occupation is Sales,Exec-managerial,Farming-fishing,Transport-moving,Protective-serv|Att relationship is Husband,Unmarried|Att race is White,Asian-Pac-Islander,Other|Att capital-gain is [<81564.718750]|Att capital-loss is [<3918.418945]|Att hours-per-week is [45.122662,53.967636]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Italy,Jamaica,Portugal,France,Dominican-Republic,Laos,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Thailand,Yugoslavia,Peru,Hong|>50K -Att age is [44.689884,48.237186]|Att workclass is Private,Self-emp-inc,State-gov,Without-pay,Never-worked|Att fnlwgt is [125772.414062,1108357.625000]|Att education is Bachelors,HS-grad,Prof-school,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>10.509615]|Att marital-status is Married-civ-spouse,Never-married,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv|Att relationship is Wife,Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-gain is [<0.000000]|Att capital-loss is [<1356.776123]|Att hours-per-week is [38.171921,40.157349]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,India,Greece,China,Cuba,Honduras,Philippines,Jamaica,Portugal,Ireland,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Holand-Netherlands|>50K -Att age is [35.146286,37.199253]|Att workclass is Private,Self-emp-inc,Local-gov,Without-pay|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>11.637092]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent|Att occupation is Other-service,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att capital-loss is [<1492.145020]|Att hours-per-week is [>49.064316]|Att native-country is United-States,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Mexico,Portugal,Ireland,France,Dominican-Republic,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Holand-Netherlands|>50K -Att age is [30.937683,35.159351]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [10.576933,15.492382]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Not-in-family,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att capital-gain is [<87857.875000]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Mexico,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Hong|>50K -Att age is [45.842705,46.118767]|Att workclass is Self-emp-not-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<1214004.125000]|Att education-num is [10.799618,13.357343]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att capital-loss is [<4322.837402]|Att hours-per-week is [7.365700,56.966591]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Vietnam,Mexico,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Hong,Holand-Netherlands|>50K -Att age is [<60.604401]|Att workclass is Private,Self-emp-inc,Federal-gov,Never-worked|Att fnlwgt is [39054.562500,127262.101562]|Att education is Some-college,11th,HS-grad,Prof-school,9th,Masters,1st-4th,10th,Preschool|Att education-num is [10.768719,15.495021]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<72387.625000]|Att hours-per-week is [37.553612,41.915161]|Att native-country is United-States,Puerto-Rico,Canada,Germany,India,Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Vietnam,Mexico,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [32.601765,63.010864]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [341543.468750,408565.000000]|Att education is Bachelors,Some-college,Assoc-acdm,Assoc-voc,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>4.283703]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Farming-fishing,Priv-house-serv,Armed-Forces|Att relationship is Husband,Other-relative|Att race is White,Asian-Pac-Islander,Other|Att capital-gain is [<74437.937500]|Att hours-per-week is [6.409320,57.997208]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,South,Cuba,Iran,Honduras,Philippines,Italy,Jamaica,Vietnam,Mexico,Portugal,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru|>50K -Att age is [44.886433,85.260269]|Att workclass is Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [158546.328125,995144.437500]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th|Att education-num is [>13.298400]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Farming-fishing,Priv-house-serv,Protective-serv|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att sex is Male|Att hours-per-week is [>44.479649]|>50K -Att age is [54.150337,62.965855]|Att workclass is Private,Federal-gov,Without-pay,Never-worked|Att fnlwgt is [137395.437500,1388403.750000]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [12.482589,14.846487]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative,Unmarried|Att race is White|Att sex is Male|Att capital-gain is [<78775.882812]|Att capital-loss is [<2422.932617]|Att hours-per-week is [38.490837,44.021301]|>50K -Att age is [35.761620,58.238380]|Att workclass is Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att fnlwgt is [105116.500000,1116109.125000]|Att education is Some-college,11th,Assoc-acdm,Assoc-voc,12th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [7.180138,15.298998]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Armed-Forces|Att sex is Male|Att hours-per-week is [50.430779,72.626976]|Att native-country is United-States,Cambodia,Puerto-Rico,Germany,Japan,Greece,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Mexico,Portugal,Ireland,France,Ecuador,Haiti,Columbia,Hungary,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [35.373493,75.130142]|Att workclass is Private,Self-emp-inc,Without-pay,Never-worked|Att education is Bachelors,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [10.098560,15.905205]|Att marital-status is Married-civ-spouse,Divorced,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Exec-managerial,Handlers-cleaners,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife|Att race is White,Other,Black|Att capital-loss is [<0.000000]|Att hours-per-week is [<70.070816]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Iran,Honduras,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Guatemala,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [33.710342,55.137497]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Never-worked|Att education is Bachelors,Some-college,11th,Prof-school,7th-8th,12th,Masters,10th,Doctorate,5th-6th,Preschool|Att education-num is [>14.183297]|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband,Unmarried|Att sex is Male|Att capital-gain is [<61099.976562]|Att capital-loss is [<1953.590942]|Att hours-per-week is [29.484020,56.812786]|Att native-country is United-States,England,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [46.941151,53.360916]|Att workclass is Private,State-gov,Without-pay|Att fnlwgt is [<242259.218750]|Att education-num is [11.099279,14.900721]|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Adm-clerical,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att hours-per-week is [37.704453,42.452671]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,India,Greece,South,China,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [<63.044945]|Att workclass is Self-emp-inc,Federal-gov,Without-pay|Att fnlwgt is [<1119644.625000]|Att education is Bachelors,Some-college,11th,Prof-school,12th,Masters,1st-4th,Preschool|Att education-num is [7.430705,12.183097]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Unmarried|Att sex is Male|Att hours-per-week is [43.695179,65.170303]|Att native-country is United-States,England,Canada,Outlying-US(Guam-USVI-etc),India,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Ecuador,Haiti,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att workclass is Private,Self-emp-inc,State-gov,Without-pay,Never-worked|Att fnlwgt is [139053.734375,1134942.125000]|Att education is Bachelors,11th,Prof-school,9th,7th-8th,1st-4th,10th,5th-6th|Att education-num is [7.404609,13.873124]|Att marital-status is Married-civ-spouse,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Handlers-cleaners,Machine-op-inspct,Transport-moving,Priv-house-serv,Armed-Forces|Att race is White,Amer-Indian-Eskimo,Black|Att capital-loss is [<1802.044922]|Att hours-per-week is [>55.434261]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,India,Japan,China,Cuba,Iran,Honduras,Italy,Poland,Vietnam,Portugal,Dominican-Republic,Laos,Ecuador,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago|>50K -Att age is [61.292618,79.775810]|Att workclass is Private,Never-worked|Att fnlwgt is [>26914.265625]|Att education-num is [12.509657,14.609626]|Att marital-status is Married-civ-spouse,Separated,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Priv-house-serv,Armed-Forces|Att sex is Male|Att capital-loss is [<4100.432129]|Att hours-per-week is [25.369671,58.605019]|Att native-country is United-States,Cambodia,Canada,Outlying-US(Guam-USVI-etc),Japan,Greece,China,Cuba,Iran,Honduras,Philippines,Italy,Jamaica,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Holand-Netherlands|>50K -Att age is [36.826584,44.653469]|Att workclass is Private,Local-gov,State-gov,Without-pay|Att fnlwgt is [57933.324219,276596.250000]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,1st-4th,10th,Doctorate,5th-6th|Att education-num is [12.918373,15.392131]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Other-service,Prof-specialty,Handlers-cleaners,Priv-house-serv|Att relationship is Wife,Husband|Att sex is Male|Att capital-gain is [<81671.593750]|Att hours-per-week is [40.023369,55.428986]|Att native-country is United-States,Cambodia,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Iran,Honduras,Philippines,Italy,Jamaica,Vietnam,Portugal,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Nicaragua,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [40.639046,47.878822]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att education-num is [>3.257156]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att capital-loss is [1747.996582,1986.353760]|>50K -Att age is [32.984825,53.015175]|Att workclass is Private,Federal-gov|Att fnlwgt is [128181.976562,162733.812500]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>11.184583]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Black|Att capital-gain is [<87719.992188]|Att capital-loss is [<708.241699]|Att hours-per-week is [34.141075,40.226620]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Laos,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [40.297218,65.990540]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,Never-worked|Att fnlwgt is [175926.156250,1061280.500000]|Att education is Some-college,11th,Prof-school,Assoc-acdm,9th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [7.642209,12.357791]|Att marital-status is Married-civ-spouse,Never-married,Separated,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att capital-loss is [<1144.375732]|Att hours-per-week is [53.839081,88.715591]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [28.794300,30.469467]|Att workclass is Private,Federal-gov,Never-worked|Att fnlwgt is [<751735.000000]|Att education is Bachelors,Some-college,Assoc-acdm,9th,7th-8th,12th,1st-4th,10th,Doctorate|Att education-num is [10.479176,15.520824]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Machine-op-inspct,Transport-moving,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo|Att sex is Male|Att capital-gain is [<2111.061279]|Att capital-loss is [<983.777527]|Att hours-per-week is [38.812531,50.850792]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,South,China,Cuba,Iran,Philippines,Italy,Poland,Mexico,Portugal,France,Dominican-Republic,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Hong|>50K -Att age is [30.667063,83.033188]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Local-gov,Without-pay|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att marital-status is Married-civ-spouse,Never-married,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative,Unmarried|Att race is White,Amer-Indian-Eskimo,Other,Black|Att capital-loss is [1822.920166,1986.531006]|Att hours-per-week is [32.601212,67.398788]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Ireland,France,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [33.546650,35.389946]|Att workclass is Private,Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Doctorate,5th-6th|Att education-num is [>11.263686]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Machine-op-inspct,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Husband,Other-relative,Unmarried|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<0.000000]|Att capital-loss is [<2125.964600]|Att hours-per-week is [23.858604,52.943089]|Att native-country is United-States,Cambodia,England,Germany,India,Japan,Greece,China,Mexico,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Nicaragua,Thailand,Yugoslavia,Hong,Holand-Netherlands|>50K -Att marital-status is Divorced,Never-married,Separated,Married-spouse-absent,Married-AF-spouse|Att capital-gain is [8157.915039,30850.507812]|>50K -Att age is [43.697330,44.255589]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Without-pay|Att fnlwgt is [<1231183.125000]|Att education is Bachelors,11th,Assoc-acdm,9th,12th,1st-4th,10th,Preschool|Att education-num is [>11.004302]|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Adm-clerical,Farming-fishing,Armed-Forces|Att relationship is Wife,Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<59453.496094]|Att capital-loss is [<0.000000]|Att hours-per-week is [36.255234,47.289364]|Att native-country is United-States,Cambodia,Germany,Outlying-US(Guam-USVI-etc),India,China,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Ecuador,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [36.838669,37.266468]|Att fnlwgt is [128910.140625,855731.937500]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,7th-8th,12th,Masters,1st-4th,10th,Preschool|Att education-num is [>10.706695]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att sex is Male|Att capital-loss is [<3699.347656]|Att hours-per-week is [>13.570154]|Att native-country is United-States,Cambodia,England,Canada,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [36.880959,44.836967]|Att workclass is Private,Without-pay,Never-worked|Att fnlwgt is [169526.656250,225117.453125]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [11.100261,14.899739]|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Machine-op-inspct,Priv-house-serv|Att relationship is Wife,Husband|Att hours-per-week is [37.288219,43.068096]|Att native-country is United-States,Cambodia,England,Canada,Germany,India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Mexico,Portugal,France,Dominican-Republic,Laos,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [39.992706,54.939556]|Att workclass is Private,State-gov,Without-pay|Att education is Bachelors,Prof-school,7th-8th,12th,Preschool|Att education-num is [>5.358811]|Att marital-status is Married-civ-spouse,Separated|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Priv-house-serv,Armed-Forces|Att relationship is Own-child,Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo|Att sex is Male|Att hours-per-week is [53.260899,61.401093]|Att native-country is United-States,Cambodia,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Honduras,Philippines,Italy,Poland,Vietnam,Portugal,Dominican-Republic,Taiwan,Haiti,Columbia,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [39.005634,53.492516]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay|Att fnlwgt is [198983.421875,260199.515625]|Att education is Some-college,11th,HS-grad,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>11.067161]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo|Att sex is Male|Att capital-gain is [<48307.011719]|Att capital-loss is [<1169.801392]|Att hours-per-week is [31.486217,50.307335]|Att native-country is United-States,Puerto-Rico,Germany,India,Japan,Greece,South,China,Iran,Philippines,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [<42.682579]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<456929.281250]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,12th,Masters,1st-4th,10th|Att education-num is [>12.014277]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Craft-repair,Other-service,Exec-managerial,Prof-specialty,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband|Att sex is Female|Att hours-per-week is [>40.977726]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [44.594173,60.945793]|Att workclass is Private,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [>173667.437500]|Att education is Bachelors,Some-college,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [>10.782270]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent|Att occupation is Craft-repair,Sales,Exec-managerial,Adm-clerical,Priv-house-serv|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<60241.195312]|Att capital-loss is [<1228.851929]|Att hours-per-week is [43.066956,86.649826]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [37.579605,84.420395]|Att workclass is Self-emp-inc,Local-gov,Never-worked|Att fnlwgt is [<125200.953125]|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-acdm,Assoc-voc,9th,7th-8th,Masters,Doctorate,5th-6th,Preschool|Att education-num is [10.921306,15.967978]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent|Att occupation is Other-service,Sales,Exec-managerial,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Transport-moving,Armed-Forces|Att relationship is Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Other,Black|Att capital-loss is [<3302.741699]|Att hours-per-week is [31.260794,48.033047]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Honduras,Philippines,Italy,Poland,Vietnam,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [>39.293083]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [206197.390625,511462.031250]|Att education is Some-college,11th,Assoc-acdm,Assoc-voc,7th-8th,1st-4th,Doctorate,5th-6th|Att education-num is [7.801942,12.981086]|Att marital-status is Married-civ-spouse,Never-married,Separated|Att occupation is Tech-support,Craft-repair,Prof-specialty,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Black|Att capital-gain is [<65980.320312]|Att capital-loss is [<0.000000]|Att hours-per-week is [43.464363,50.734653]|>50K -Att age is [19.842810,55.104797]|Att workclass is Self-emp-not-inc,Without-pay,Never-worked|Att education is Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [13.817976,15.917130]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Transport-moving,Protective-serv,Armed-Forces|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [<96669.078125]|Att capital-loss is [<3581.653809]|Att hours-per-week is [>27.491396]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,India,Japan,Greece,South,China,Cuba,Honduras,Philippines,Italy,Poland,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,Peru,Hong,Holand-Netherlands|>50K -Att age is [35.244129,47.131927]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Never-worked|Att education-num is [11.589695,15.328181]|Att marital-status is Married-civ-spouse,Married-spouse-absent|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att race is White,Asian-Pac-Islander,Black|Att sex is Female|Att hours-per-week is [<37.022636]|Att native-country is United-States,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Greece,South,China,Cuba,Iran,Philippines,Italy,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,10th,Doctorate,5th-6th,Preschool|Att marital-status is Married-civ-spouse,Separated,Married-AF-spouse|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Transport-moving,Armed-Forces|Att sex is Male|Att capital-gain is [>5581.747070]|>50K -Att age is [>29.672409]|Att workclass is Private,Without-pay,Never-worked|Att education is Bachelors,Some-college,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [12.201037,14.280165]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is Asian-Pac-Islander,Amer-Indian-Eskimo|Att capital-loss is [<1970.230347]|Att hours-per-week is [>34.896667]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Cuba,Iran,Honduras,Philippines,Jamaica,Vietnam,Portugal,France,Laos,Taiwan,Haiti,Columbia,Guatemala,Scotland,Thailand,Trinadad&Tobago,Hong|>50K -Att age is [30.430056,48.705891]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,Never-worked|Att education-num is [10.141532,14.936103]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Priv-house-serv,Armed-Forces|Att relationship is Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other,Black|Att capital-loss is [<3014.334717]|Att hours-per-week is [54.181896,69.701126]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Cuba,Honduras,Philippines,Vietnam,Mexico,Portugal,France,Laos,Haiti,Columbia,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [48.440781,57.501461]|Att workclass is Self-emp-not-inc,Federal-gov|Att fnlwgt is [>112501.281250]|Att education is Bachelors,Some-college,11th,Assoc-acdm,7th-8th,Masters,1st-4th,5th-6th,Preschool|Att education-num is [>10.617051]|Att occupation is Craft-repair,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att sex is Male|Att capital-loss is [<3132.412354]|Att hours-per-week is [36.548771,49.273956]|>50K -Att age is [52.379002,56.451073]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att education is 11th,HS-grad,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,1st-4th,10th,Preschool|Att education-num is [8.850870,12.518888]|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Machine-op-inspct,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Other,Black|Att capital-gain is [<63560.398438]|Att capital-loss is [<3518.015137]|Att hours-per-week is [47.384247,56.467640]|>50K -Att age is [38.269047,63.730953]|Att workclass is Private,Federal-gov,Local-gov,Never-worked|Att fnlwgt is [>71852.164062]|Att education is Bachelors,Some-college,Assoc-acdm,9th,7th-8th,12th,Masters,Doctorate,Preschool|Att education-num is [6.259216,11.426273]|Att marital-status is Married-civ-spouse,Never-married,Widowed,Married-AF-spouse|Att occupation is Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att capital-gain is [<99274.664062]|Att capital-loss is [<2967.573975]|Att hours-per-week is [42.033592,47.553806]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Vietnam,France,Dominican-Republic,Laos,Ecuador,Haiti,Hungary,Guatemala,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [37.236309,86.112381]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [101376.132812,140567.109375]|Att education-num is [10.516609,15.483391]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo|Att capital-gain is [<54956.535156]|Att hours-per-week is [45.057030,56.380066]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Poland,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Hungary,Guatemala,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [35.950546,76.682579]|Att workclass is Federal-gov,Local-gov,State-gov,Without-pay|Att fnlwgt is [<487463.875000]|Att education is 11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,10th,Preschool|Att education-num is [>8.528374]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife|Att race is White,Asian-Pac-Islander|Att sex is Female|Att capital-loss is [<774.446777]|Att hours-per-week is [37.033501,90.966499]|Att native-country is United-States,Cambodia,England,Canada,Germany,India,Japan,Greece,China,Cuba,Honduras,Philippines,Poland,Jamaica,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [38.922813,51.778175]|Att workclass is Private,Local-gov,Without-pay|Att fnlwgt is [61413.984375,261898.656250]|Att education is Bachelors,HS-grad,9th,12th,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>9.590737]|Att marital-status is Married-civ-spouse,Divorced,Widowed,Married-spouse-absent|Att occupation is Sales,Adm-clerical,Priv-house-serv|Att relationship is Husband|Att capital-gain is [<77134.007812]|Att capital-loss is [<2604.747559]|Att hours-per-week is [21.140146,44.057980]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Greece,South,Cuba,Iran,Philippines,Italy,Jamaica,Ireland,France,Dominican-Republic,Ecuador,Taiwan,Haiti,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [39.616238,46.624626]|Att workclass is Private,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [214201.937500,1034086.750000]|Att education is Bachelors,Some-college,HS-grad,Assoc-acdm,7th-8th,Masters,1st-4th,10th,Doctorate|Att education-num is [>12.558768]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Priv-house-serv,Armed-Forces|Att relationship is Wife,Husband,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-loss is [<0.000000]|Att hours-per-week is [39.565598,55.382339]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Iran,Honduras,Philippines,Poland,Jamaica,Portugal,Ireland,France,Laos,Haiti,Hungary,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att marital-status is Divorced,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att sex is Male|Att capital-loss is [2340.970703,3742.781982]|>50K -Att age is [37.033684,76.966316]|Att workclass is Federal-gov|Att education is Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,Doctorate,Preschool|Att education-num is [6.012755,10.822127]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander|Att capital-gain is [<56231.781250]|Att capital-loss is [<2839.853760]|Att hours-per-week is [>35.533920]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Greece,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Ecuador,Taiwan,Columbia,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [45.218750,48.886009]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [>191184.187500]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,1st-4th,Preschool|Att education-num is [7.720896,12.279104]|Att marital-status is Married-civ-spouse,Divorced,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Farming-fishing,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband|Att race is White,Asian-Pac-Islander|Att capital-loss is [<0.000000]|Att hours-per-week is [34.902210,47.191231]|>50K -Att age is [35.694366,60.658703]|Att workclass is Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [123827.289062,1283290.875000]|Att education is Bachelors,11th,HS-grad,Assoc-acdm,Assoc-voc,9th,7th-8th,Masters,1st-4th|Att education-num is [6.936772,11.063228]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other,Black|Att sex is Male|Att capital-gain is [<39632.644531]|Att hours-per-week is [52.459740,74.411369]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Greece,South,Philippines,Italy,Poland,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [46.969501,47.734592]|Att workclass is Private,Self-emp-not-inc,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [75175.695312,1322755.500000]|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,10th,Doctorate,5th-6th,Preschool|Att education-num is [7.196264,12.483148]|Att occupation is Tech-support,Sales,Exec-managerial,Machine-op-inspct,Adm-clerical,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att hours-per-week is [>46.613873]|>50K -Att age is [43.239788,48.572338]|Att workclass is Federal-gov,Without-pay|Att education-num is [3.331492,12.574006]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Sales,Prof-specialty,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Armed-Forces|Att sex is Male|Att hours-per-week is [>36.332310]|>50K -Att age is [27.293201,35.632374]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att fnlwgt is [190919.515625,1090618.875000]|Att education is Some-college,11th,HS-grad,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [>12.089149]|Att marital-status is Married-civ-spouse,Separated,Married-AF-spouse|Att occupation is Sales,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Priv-house-serv|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [<52003.195312]|Att hours-per-week is [<85.618126]|Att native-country is United-States,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),South,China,Cuba,Iran,Honduras,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [>48.923424]|Att workclass is Private,Self-emp-inc,Local-gov,State-gov,Without-pay|Att fnlwgt is [152220.328125,1140305.000000]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Doctorate,5th-6th|Att education-num is [9.350182,12.913632]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Machine-op-inspct,Transport-moving,Protective-serv|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att capital-loss is [<1366.692261]|Att hours-per-week is [35.064034,46.346134]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,China,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Portugal,Dominican-Republic,Laos,Haiti,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [39.569801,50.884544]|Att workclass is Private,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [156129.640625,1014098.750000]|Att education is Bachelors,Some-college,11th,Prof-school,9th,12th,Masters,1st-4th,10th,5th-6th|Att education-num is [8.473536,12.347814]|Att marital-status is Married-civ-spouse,Divorced,Widowed,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Farming-fishing,Transport-moving,Protective-serv|Att relationship is Wife,Own-child,Husband,Other-relative|Att sex is Male|Att capital-gain is [<66917.796875]|Att hours-per-week is [59.334911,97.142876]|Att native-country is United-States,England,Germany,India,Japan,Greece,South,China,Iran,Honduras,Italy,Poland,Jamaica,Vietnam,Mexico,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong|>50K -Att age is [55.761333,60.450577]|Att workclass is Private,Self-emp-not-inc,Without-pay,Never-worked|Att fnlwgt is [<1108426.125000]|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-acdm,Assoc-voc,9th,12th,Masters,10th,Doctorate,5th-6th,Preschool|Att education-num is [9.242550,10.952627]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Priv-house-serv|Att relationship is Wife,Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<73679.023438]|Att capital-loss is [<1008.432068]|Att hours-per-week is [26.373684,86.183891]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Japan,Greece,South,Philippines,Italy,Poland,Jamaica,France,Dominican-Republic,Laos,Haiti,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [30.762981,42.907307]|Att workclass is Private,Self-emp-not-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [166383.312500,1053774.875000]|Att education-num is [>12.044893]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att capital-loss is [<937.356812]|Att hours-per-week is [41.684673,49.230999]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Greece,South,Cuba,Iran,Honduras,Philippines,Italy,Poland,Vietnam,Mexico,Portugal,France,Dominican-Republic,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Hong,Holand-Netherlands|>50K -Att age is [>47.512424]|Att workclass is Private,Self-emp-inc,Local-gov,State-gov,Never-worked|Att education is Some-college,11th,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [>8.829190]|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Farming-fishing,Priv-house-serv,Armed-Forces|Att relationship is Husband|Att race is Asian-Pac-Islander,Black|Att capital-gain is [<0.000000]|Att capital-loss is [<3352.052979]|Att hours-per-week is [32.817665,58.279419]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Cuba,Iran,Philippines,Poland,Jamaica,Vietnam,Portugal,Dominican-Republic,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [29.442051,42.444115]|Att workclass is Private,Federal-gov,Never-worked|Att fnlwgt is [80127.367188,218658.593750]|Att education-num is [12.810699,13.680781]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Sales,Exec-managerial,Prof-specialty,Priv-house-serv,Armed-Forces|Att relationship is Own-child,Husband|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<68410.625000]|Att capital-loss is [<773.878357]|Att hours-per-week is [30.316221,40.098316]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Japan,South,China,Iran,Honduras,Italy,Jamaica,Vietnam,Mexico,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [52.087288,57.662132]|Att workclass is Private,State-gov,Without-pay|Att fnlwgt is [33867.671875,195098.031250]|Att education is Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,Doctorate,5th-6th,Preschool|Att education-num is [9.964914,14.035086]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Other,Black|Att capital-gain is [<94563.195312]|Att capital-loss is [<0.000000]|Att hours-per-week is [<50.475323]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),Greece,South,China,Philippines,Italy,Poland,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Haiti,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [27.787409,55.287449]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<227048.078125]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>12.821977]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att relationship is Wife,Husband,Not-in-family,Unmarried|Att race is White,Asian-Pac-Islander,Other,Black|Att hours-per-week is [61.063828,97.541763]|Att native-country is United-States,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Greece,South,China,Iran,Honduras,Philippines,Jamaica,France,Dominican-Republic,Laos,Ecuador,Haiti,Nicaragua,Scotland,Thailand,Yugoslavia,Peru,Hong,Holand-Netherlands|>50K -Att age is [33.594521,58.029114]|Att workclass is Private,Local-gov,State-gov,Without-pay|Att fnlwgt is [<1315825.375000]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [8.022189,11.977811]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-AF-spouse|Att occupation is Craft-repair,Sales,Exec-managerial,Machine-op-inspct,Farming-fishing,Protective-serv|Att relationship is Wife|Att race is White,Asian-Pac-Islander,Other|Att capital-loss is [<4163.904785]|Att hours-per-week is [39.339489,45.738338]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Japan,Greece,South,China,Cuba,Honduras,Italy,Jamaica,Vietnam,Mexico,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [35.550247,89.371925]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Never-worked|Att fnlwgt is [420921.375000,648047.125000]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,1st-4th,10th,Preschool|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-spouse-absent|Att occupation is Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other,Black|Att hours-per-week is [41.936855,86.683624]|Att native-country is United-States,Cambodia,England,Canada,India,Greece,China,Cuba,Iran,Honduras,Philippines,Italy,Jamaica,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [49.311306,50.266979]|Att workclass is Private,Self-emp-inc,Without-pay,Never-worked|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Preschool|Att marital-status is Married-civ-spouse,Divorced,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Adm-clerical,Priv-house-serv,Protective-serv|Att relationship is Own-child,Husband|Att race is White,Black|Att capital-loss is [<4132.198242]|Att hours-per-week is [40.069157,73.094833]|Att native-country is United-States,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Ireland,France,Dominican-Republic,Laos,Ecuador,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [>48.690659]|Att workclass is Self-emp-inc,Federal-gov,State-gov,Without-pay|Att education is Bachelors,Some-college,Prof-school,12th,1st-4th,10th,5th-6th,Preschool|Att education-num is [11.071466,14.928534]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Sales,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Unmarried|Att race is White,Amer-Indian-Eskimo,Black|Att capital-gain is [<48952.398438]|>50K -Att age is [>60.600899]|Att workclass is Private,Federal-gov,Local-gov,Without-pay,Never-worked|Att education-num is [6.066083,9.547384]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-AF-spouse|Att occupation is Exec-managerial,Prof-specialty,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att hours-per-week is [37.828884,45.866093]|>50K -Att age is [35.506767,40.508236]|Att workclass is Private,Local-gov,Never-worked|Att fnlwgt is [<914248.500000]|Att education is Bachelors,Prof-school,Assoc-voc,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>7.677060]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Priv-house-serv,Armed-Forces|Att relationship is Husband,Unmarried|Att sex is Male|Att capital-gain is [<59466.000000]|Att capital-loss is [<3684.532227]|Att hours-per-week is [47.931061,53.954502]|Att native-country is United-States,Cambodia,England,Canada,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Iran,Honduras,Italy,Mexico,France,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [40.846672,49.421860]|Att fnlwgt is [<1051935.250000]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,10th,Doctorate,5th-6th|Att education-num is [>10.176301]|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband|Att race is White,Asian-Pac-Islander,Other,Black|Att sex is Female|Att capital-gain is [<81680.000000]|Att capital-loss is [<1566.647827]|Att hours-per-week is [18.713926,53.129227]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Greece,China,Cuba,Honduras,Philippines,Italy,Poland,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att relationship is Wife,Husband,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-loss is [1742.153198,1952.257324]|Att hours-per-week is [29.564276,75.993454]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Italy,Jamaica,Mexico,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Thailand,Yugoslavia,El-Salvador,Hong|>50K -Att age is [38.759979,69.752045]|Att workclass is Private,Federal-gov,Never-worked|Att fnlwgt is [279700.812500,1293287.500000]|Att education is Bachelors,Prof-school,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [>12.671725]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family|Att race is White,Asian-Pac-Islander,Other,Black|Att capital-gain is [<60685.886719]|Att capital-loss is [<1578.916626]|Att hours-per-week is [36.110111,89.855751]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,China,Cuba,Iran,Honduras,Italy,Poland,Mexico,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [52.988483,54.480648]|Att workclass is Private,Federal-gov,State-gov,Never-worked|Att fnlwgt is [77079.914062,597391.500000]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,Masters,10th,Doctorate,5th-6th,Preschool|Att education-num is [7.405720,10.686517]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Handlers-cleaners,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Other|Att sex is Male|Att capital-gain is [<54688.636719]|Att capital-loss is [<0.000000]|Att hours-per-week is [18.063347,87.974319]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Greece,South,China,Cuba,Honduras,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong|>50K -Att age is [>43.805473]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<52313.234375]|Att education is Bachelors,Some-college,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>8.359249]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Machine-op-inspct,Adm-clerical,Farming-fishing|Att sex is Male|Att hours-per-week is [41.023899,94.495811]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Cuba,Iran,Honduras,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,Laos,Ecuador,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [41.093548,45.148968]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<958108.750000]|Att education is Bachelors,Some-college,11th,Prof-school,9th,12th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>10.286274]|Att marital-status is Married-civ-spouse,Never-married,Married-spouse-absent,Married-AF-spouse|Att occupation is Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<68434.976562]|Att capital-loss is [<409.707733]|Att hours-per-week is [46.530823,55.816719]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,China,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Ecuador,Columbia,Hungary,Guatemala,Nicaragua,Thailand,Yugoslavia,Hong|>50K -Att age is [26.581715,53.136398]|Att workclass is Private,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [<1096559.375000]|Att education-num is [>10.156837]|Att occupation is Tech-support,Exec-managerial,Handlers-cleaners,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Female|Att capital-gain is [<66298.757812]|Att capital-loss is [<4082.264893]|Att hours-per-week is [>15.283592]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [37.515915,42.755016]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [<1023865.937500]|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,1st-4th,10th,Doctorate,5th-6th|Att education-num is [>9.744213]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Not-in-family,Other-relative,Unmarried|Att race is Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-loss is [<2535.636719]|Att hours-per-week is [31.454695,57.204311]|>50K -Att age is [36.446655,45.411278]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<1304042.250000]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-voc,7th-8th,Masters,1st-4th,10th,5th-6th|Att education-num is [7.512853,9.144894]|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Handlers-cleaners,Priv-house-serv,Protective-serv|Att relationship is Husband,Unmarried|Att race is White,Asian-Pac-Islander,Other|Att sex is Male|Att capital-loss is [<797.855530]|Att hours-per-week is [>41.840939]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Greece,South,China,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Laos,Ecuador,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Trinadad&Tobago,Peru|>50K -Att age is [38.399220,48.037010]|Att workclass is Private,Federal-gov,Without-pay|Att fnlwgt is [125209.585938,173122.578125]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,12th,Masters,1st-4th,10th,Preschool|Att education-num is [9.046555,13.673927]|Att marital-status is Married-civ-spouse,Married-spouse-absent|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband,Not-in-family|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo|Att sex is Male|Att capital-gain is [<46456.257812]|Att hours-per-week is [25.476673,57.020218]|>50K -Att age is [46.571762,66.115692]|Att workclass is Self-emp-not-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [<771578.812500]|Att education is Bachelors,HS-grad,Prof-school,9th,12th,Masters,1st-4th,Doctorate,5th-6th|Att education-num is [11.162077,14.974958]|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv|Att relationship is Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att capital-gain is [<59605.906250]|Att capital-loss is [<2431.627197]|Att hours-per-week is [50.567425,63.232597]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Japan,Greece,China,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [>29.331255]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [7.458658,13.382525]|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative,Unmarried|Att sex is Male|Att capital-gain is [1912.479004,3118.886475]|Att hours-per-week is [30.161968,64.721985]|>50K -Att age is [27.216648,35.193062]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov|Att fnlwgt is [<1034567.437500]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-voc,9th,12th,Masters,1st-4th,10th,Doctorate|Att education-num is [>13.636844]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White|Att capital-gain is [<36741.820312]|Att capital-loss is [<908.214600]|Att hours-per-week is [15.416669,49.268784]|>50K -Att age is [36.961750,68.688896]|Att workclass is Self-emp-inc,Federal-gov,Local-gov,Never-worked|Att fnlwgt is [174259.375000,466902.218750]|Att education is Some-college,11th,Assoc-voc,7th-8th,1st-4th,10th,5th-6th,Preschool|Att education-num is [9.528716,10.784583]|Att marital-status is Married-civ-spouse,Widowed|Att occupation is Tech-support,Exec-managerial,Machine-op-inspct,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family,Unmarried|Att race is White,Amer-Indian-Eskimo|Att sex is Male|Att capital-gain is [<95422.500000]|Att hours-per-week is [39.841049,40.615021]|Att native-country is United-States,Cambodia,England,Canada,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att workclass is Private,Self-emp-not-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [<28868.789062]|Att education is Bachelors,Some-college,11th,Assoc-voc,9th,7th-8th,12th,Masters,10th,Doctorate,5th-6th|Att education-num is [8.284033,15.715967]|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Other,Black|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Cuba,Iran,Honduras,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [27.139126,49.074886]|Att workclass is Private,Self-emp-inc,Local-gov,State-gov,Without-pay|Att fnlwgt is [198302.703125,237689.937500]|Att education is Bachelors,Some-college,11th,Assoc-acdm,12th,Masters,10th,Doctorate,5th-6th,Preschool|Att education-num is [>10.142447]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Sales,Prof-specialty,Handlers-cleaners,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband|Att race is White|Att sex is Male|Att capital-loss is [<709.167358]|Att hours-per-week is [27.695351,58.612038]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,India,Japan,South,Cuba,Philippines,Italy,Poland,Vietnam,Mexico,Ireland,Dominican-Republic,Laos,Ecuador,Haiti,Columbia,Hungary,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [50.886753,74.660599]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<1256461.625000]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [8.534100,9.905659]|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Priv-house-serv,Protective-serv|Att relationship is Own-child,Husband,Other-relative|Att hours-per-week is [>52.117645]|>50K -Att age is [27.507925,64.768463]|Att workclass is Private,Federal-gov,Never-worked|Att fnlwgt is [68530.820312,674017.000000]|Att education is Bachelors,Some-college,HS-grad,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [10.220867,13.214468]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Handlers-cleaners,Machine-op-inspct,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Husband,Other-relative|Att hours-per-week is [40.557549,46.181339]|Att native-country is United-States,England,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Laos,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Yugoslavia,Hong|>50K -Att age is [35.441650,58.558350]|Att workclass is Private,Self-emp-not-inc,Federal-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,9th,12th,1st-4th,10th,Preschool|Att education-num is [13.853143,15.812854]|Att marital-status is Divorced,Never-married,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att race is White,Amer-Indian-Eskimo,Other,Black|Att sex is Male|Att capital-gain is [<93281.828125]|Att hours-per-week is [24.696497,87.548767]|Att native-country is United-States,Cambodia,England,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,Cuba,Iran,Honduras,Philippines,Italy,Vietnam,Mexico,Portugal,Dominican-Republic,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [50.073830,74.423218]|Att workclass is Private,State-gov,Never-worked|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [>11.834859]|Att occupation is Craft-repair,Exec-managerial,Machine-op-inspct,Protective-serv,Armed-Forces|Att relationship is Wife,Not-in-family,Other-relative,Unmarried|Att race is White,Amer-Indian-Eskimo,Black|Att hours-per-week is [>36.661446]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Iran,Honduras,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Ecuador,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru|>50K -Att age is [38.607376,44.481499]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [170157.812500,1097398.125000]|Att education is Bachelors,Some-college,Prof-school,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [8.154711,12.567701]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Armed-Forces|Att relationship is Wife,Own-child,Husband|Att race is White,Asian-Pac-Islander,Other,Black|Att sex is Male|Att hours-per-week is [15.409760,48.121738]|>50K -Att age is [45.027065,65.286850]|Att workclass is Self-emp-not-inc,Local-gov,State-gov,Never-worked|Att fnlwgt is [>71705.039062]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [10.678738,13.137716]|Att marital-status is Married-civ-spouse,Divorced,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Handlers-cleaners,Machine-op-inspct,Priv-house-serv,Protective-serv|Att relationship is Own-child,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other|Att hours-per-week is [>29.850702]|Att native-country is United-States,Cambodia,England,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Italy,Jamaica,Mexico,Portugal,Ireland,Dominican-Republic,Ecuador,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [54.336128,59.838219]|Att workclass is Private,Never-worked|Att fnlwgt is [<1044623.875000]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Masters,10th,Doctorate,Preschool|Att education-num is [9.809149,12.726887]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Craft-repair,Other-service,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo|Att sex is Male|Att hours-per-week is [34.155933,40.814980]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,China,Cuba,Iran,Honduras,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Laos,Taiwan,Columbia,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [32.486176,49.663521]|Att workclass is Private,Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att fnlwgt is [79231.585938,214920.765625]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-voc,9th,Masters,1st-4th,5th-6th,Preschool|Att education-num is [9.674194,12.189125]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Prof-specialty|Att relationship is Own-child,Husband,Not-in-family,Other-relative|Att capital-gain is [<70191.406250]|Att capital-loss is [<2476.130859]|Att hours-per-week is [47.281734,54.457039]|Att native-country is United-States,Canada,Germany,Outlying-US(Guam-USVI-etc),India,China,Cuba,Iran,Honduras,Philippines,Italy,Mexico,Portugal,Ireland,France,Ecuador,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att workclass is Federal-gov,Local-gov,State-gov,Without-pay|Att fnlwgt is [<1133531.500000]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [7.839702,11.756400]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Craft-repair,Sales,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family|Att sex is Male|Att capital-gain is [<57801.464844]|Att hours-per-week is [46.679367,69.105522]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,South,China,Cuba,Iran,Honduras,Philippines,Poland,Jamaica,Vietnam,Mexico,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [>54.167809]|Att workclass is Self-emp-not-inc,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [70570.304688,1397191.500000]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [11.727015,14.201558]|Att occupation is Tech-support,Prof-specialty,Handlers-cleaners,Protective-serv|Att relationship is Wife,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-loss is [<3205.331299]|Att native-country is United-States,Cambodia,England,Canada,Outlying-US(Guam-USVI-etc),India,South,China,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Mexico,Portugal,Ireland,France,Dominican-Republic,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Yugoslavia,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [32.163887,83.248032]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att education-num is [>15.530585]|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Not-in-family,Other-relative,Unmarried|Att hours-per-week is [19.306501,98.889023]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Iran,Honduras,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Ecuador,Taiwan,Haiti,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [46.763123,84.495056]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [>205507.343750]|Att education-num is [6.119703,13.680435]|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Transport-moving,Priv-house-serv|Att relationship is Wife,Husband|Att race is White,Other,Black|Att sex is Female|Att capital-gain is [<58804.906250]|Att capital-loss is [<2989.407471]|Att hours-per-week is [33.950184,95.892891]|>50K -Att age is [>26.343161]|Att workclass is Private,Local-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-acdm,9th,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [8.218490,12.800358]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent|Att occupation is Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Own-child,Husband|Att race is White,Asian-Pac-Islander,Other,Black|Att hours-per-week is [72.602493,86.847069]|>50K -Att age is [42.146286,71.510170]|Att workclass is Private,Federal-gov,State-gov,Without-pay,Never-worked|Att education-num is [>10.445715]|Att occupation is Tech-support,Sales,Exec-managerial,Protective-serv|Att relationship is Wife,Husband,Other-relative|Att hours-per-week is [<20.434713]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,India,Japan,South,Iran,Honduras,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Taiwan,Haiti,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Hong|>50K -Att age is [33.903751,47.810387]|Att workclass is Private,Self-emp-inc,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,Masters,10th,Doctorate,Preschool|Att education-num is [>8.053411]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Exec-managerial,Protective-serv,Armed-Forces|Att relationship is Wife|Att race is White,Asian-Pac-Islander|Att hours-per-week is [34.709690,87.846138]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,South,China,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [43.351685,86.648315]|Att workclass is Self-emp-inc,Federal-gov,Never-worked|Att fnlwgt is [<104609.187500]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>8.417299]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-AF-spouse|Att occupation is Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-gain is [<91961.312500]|Att capital-loss is [<2553.647705]|Att hours-per-week is [36.488888,41.688255]|>50K -Att workclass is Self-emp-inc,Without-pay|Att fnlwgt is [202643.421875,1174661.750000]|Att education is Bachelors,HS-grad,Prof-school,Assoc-acdm,12th,Masters,10th,Doctorate,Preschool|Att education-num is [7.084176,11.781717]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family|Att race is White,Amer-Indian-Eskimo,Black|Att sex is Male|Att hours-per-week is [33.616005,55.046513]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,Honduras,Philippines,Italy,Jamaica,Mexico,Portugal,Ireland,Taiwan,Haiti,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,Hong,Holand-Netherlands|>50K -Att age is [47.466606,56.297855]|Att workclass is Private,Without-pay|Att fnlwgt is [<1407090.500000]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [7.822407,10.000226]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Craft-repair,Exec-managerial,Prof-specialty,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att capital-gain is [<27472.384766]|Att capital-loss is [<448.811981]|Att hours-per-week is [34.640282,44.433571]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Cuba,Honduras,Poland,Jamaica,Mexico,Portugal,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Trinadad&Tobago,Peru,Hong|>50K -Att age is [36.886677,48.129341]|Att fnlwgt is [<56506.738281]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,12th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [>12.197112]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Husband|Att race is White,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-gain is [<77674.632812]|Att hours-per-week is [41.039394,79.185127]|>50K -Att age is [31.318516,36.038059]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Never-worked|Att fnlwgt is [<858499.125000]|Att education is Bachelors,Assoc-acdm,7th-8th,10th,Doctorate,Preschool|Att education-num is [>12.414550]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Armed-Forces|Att relationship is Own-child,Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other|Att sex is Male|Att capital-loss is [<3368.443115]|Att hours-per-week is [47.743877,62.986687]|Att native-country is United-States,Outlying-US(Guam-USVI-etc),India,Japan,South,China,Cuba,Iran,Honduras,Vietnam,Mexico,Portugal,Ireland,Ecuador,Hungary,Guatemala,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [36.630707,55.625988]|Att workclass is Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att fnlwgt is [138629.984375,179204.625000]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-voc,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Husband,Other-relative|Att capital-loss is [<0.000000]|Att hours-per-week is [38.865120,88.499565]|>50K -Att age is [39.406994,55.290245]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Never-worked|Att education is HS-grad,Assoc-acdm,Assoc-voc,7th-8th,12th,1st-4th,Doctorate,Preschool|Att education-num is [10.316498,11.485433]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Sales,Prof-specialty,Protective-serv|Att relationship is Husband,Other-relative|Att hours-per-week is [25.874454,46.271893]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),Japan,Greece,South,Cuba,Iran,Philippines,Poland,Jamaica,Mexico,Portugal,France,Dominican-Republic,Laos,Ecuador,Haiti,Columbia,Hungary,Nicaragua,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [>40.551556]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [>61397.171875]|Att education is Bachelors,11th,HS-grad,Assoc-voc,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [6.346467,11.653533]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Other-service,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Own-child,Husband,Not-in-family,Other-relative,Unmarried|Att capital-gain is [4167.362793,99531.828125]|Att hours-per-week is [>36.194214]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,Cuba,Iran,Philippines,Poland,Vietnam,Mexico,Portugal,Ireland,France,Laos,Ecuador,Haiti,Columbia,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong|>50K -Att age is [40.430290,49.190922]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Never-worked|Att fnlwgt is [50406.074219,154879.781250]|Att education is Bachelors,Prof-school,9th,7th-8th,1st-4th,10th,5th-6th,Preschool|Att education-num is [>6.358101]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Prof-specialty,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att race is White,Asian-Pac-Islander,Other|Att hours-per-week is [32.357952,44.859943]|>50K -Att age is [51.615505,53.799038]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Without-pay,Never-worked|Att education is Bachelors,HS-grad,Prof-school,Assoc-acdm,7th-8th,Masters,1st-4th|Att education-num is [1.476471,12.478335]|Att marital-status is Married-civ-spouse,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Priv-house-serv|Att race is White,Asian-Pac-Islander,Black|Att sex is Male|Att hours-per-week is [41.148064,66.555840]|Att native-country is United-States,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Holand-Netherlands|>50K -Att age is [26.311932,36.421349]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [104811.500000,947623.500000]|Att education-num is [>9.483500]|Att occupation is Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife|Att hours-per-week is [1.339872,66.031273]|Att native-country is United-States,Cambodia,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Iran,Italy,Poland,Jamaica,Vietnam,Portugal,France,Dominican-Republic,Taiwan,Columbia,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [33.134525,35.587498]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Never-worked|Att fnlwgt is [124807.281250,1396272.125000]|Att education is Some-college,11th,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [>7.317492]|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other,Black|Att capital-gain is [<98242.546875]|Att hours-per-week is [53.900032,64.449089]|Att native-country is United-States,Cambodia,England,Canada,Germany,Japan,South,China,Cuba,Iran,Honduras,Philippines,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Ecuador,Taiwan,Columbia,Guatemala,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Holand-Netherlands|>50K -Att age is [42.532036,58.121170]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [159642.046875,167011.781250]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-voc,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>6.798553]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent|Att occupation is Other-service,Sales,Exec-managerial,Prof-specialty,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att race is White,Asian-Pac-Islander,Black|Att sex is Male|Att capital-gain is [<55172.871094]|Att hours-per-week is [38.049965,78.315117]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,India,Japan,Greece,South,Iran,Honduras,Vietnam,Portugal,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Hungary,Nicaragua,Thailand,Yugoslavia,El-Salvador,Peru,Hong|>50K -Att age is [>48.474159]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [77442.515625,1043238.687500]|Att education-num is [10.247233,15.752767]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed|Att occupation is Tech-support,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Not-in-family,Other-relative,Unmarried|Att sex is Male|Att capital-loss is [<4340.845703]|Att hours-per-week is [44.798985,96.138458]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),Greece,South,China,Cuba,Philippines,Italy,Vietnam,Portugal,Ireland,France,Laos,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [31.641270,41.795135]|Att workclass is Private,Self-emp-inc,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [183156.703125,377139.125000]|Att education is 11th,HS-grad,Assoc-acdm,7th-8th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [11.892307,15.577299]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Own-child,Husband,Other-relative|Att sex is Male|Att capital-gain is [<89972.515625]|Att capital-loss is [<3679.273193]|Att hours-per-week is [34.533260,47.115551]|Att native-country is United-States,Cambodia,Puerto-Rico,Outlying-US(Guam-USVI-etc),India,Japan,South,China,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [30.864510,49.169121]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay|Att education is Bachelors,Some-college,Prof-school,Assoc-acdm,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [9.148427,11.835080]|Att marital-status is Married-civ-spouse,Widowed|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Handlers-cleaners,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Own-child,Husband,Not-in-family,Other-relative,Unmarried|Att race is White,Amer-Indian-Eskimo,Other,Black|Att hours-per-week is [56.723801,64.476845]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Haiti,Nicaragua,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [43.374763,50.507111]|Att workclass is Private,Federal-gov,Without-pay,Never-worked|Att fnlwgt is [<384618.437500]|Att education is Bachelors,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [6.180212,9.369436]|Att marital-status is Married-civ-spouse,Separated|Att occupation is Tech-support,Craft-repair,Exec-managerial,Transport-moving,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband|Att race is White,Amer-Indian-Eskimo,Other,Black|Att sex is Male|Att capital-gain is [<70236.828125]|Att capital-loss is [<1153.845703]|Att hours-per-week is [45.090088,54.339970]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Taiwan,Haiti,Columbia,Hungary,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [45.582035,59.752728]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Never-worked|Att fnlwgt is [<696220.187500]|Att education is Bachelors,Some-college,Prof-school,Assoc-acdm,7th-8th,Masters,10th,Doctorate,Preschool|Att education-num is [7.202953,11.289715]|Att marital-status is Married-civ-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Not-in-family,Other-relative,Unmarried|Att capital-loss is [<4121.277832]|Att hours-per-week is [32.851181,89.877090]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Greece,South,China,Cuba,Iran,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Dominican-Republic,Laos,Ecuador,Haiti,Guatemala,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [38.443554,43.934353]|Att workclass is Private,State-gov|Att fnlwgt is [160270.734375,1110903.625000]|Att education is Some-college,HS-grad,Prof-school,7th-8th,Masters,Doctorate,Preschool|Att education-num is [<11.966765]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Machine-op-inspct,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife|Att race is White,Amer-Indian-Eskimo,Other|Att sex is Female|Att capital-loss is [<2274.153076]|Att hours-per-week is [32.784966,93.900909]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,China,Cuba,Iran,Honduras,Philippines,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Thailand,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [27.318897,43.497562]|Att workclass is Private,Self-emp-inc,Local-gov,Without-pay,Never-worked|Att fnlwgt is [334150.750000,1272020.125000]|Att education is Bachelors,Some-college,Assoc-acdm,Assoc-voc,9th,7th-8th,1st-4th,Doctorate,5th-6th|Att education-num is [7.863137,12.136863]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Handlers-cleaners,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Husband|Att race is White,Amer-Indian-Eskimo|Att hours-per-week is [>34.760029]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Greece,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Haiti,Columbia,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Peru,Hong|>50K -Att age is [35.176403,48.248508]|Att workclass is Self-emp-inc,Local-gov|Att fnlwgt is [172209.703125,303534.250000]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,10th,Doctorate,5th-6th,Preschool|Att education-num is [6.523499,12.752048]|Att marital-status is Married-civ-spouse,Separated,Widowed|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Priv-house-serv,Protective-serv|Att relationship is Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Other|Att capital-gain is [<99577.828125]|Att hours-per-week is [15.303169,94.103111]|Att native-country is United-States,Cambodia,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,France,Dominican-Republic,Ecuador,Taiwan,Hungary,Guatemala,Scotland,Thailand,El-Salvador,Trinadad&Tobago,Peru|>50K -Att age is [>58.058823]|Att workclass is Private,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<1139047.125000]|Att education is 11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [2.300667,10.896401]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Prof-specialty,Priv-house-serv|Att relationship is Wife,Husband,Other-relative|Att sex is Male|Att capital-loss is [<3243.972168]|Att hours-per-week is [39.141953,50.481045]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Cuba,Iran,Honduras,Philippines,Poland,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Haiti,Hungary,Scotland,Thailand,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [48.379749,51.266956]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [83731.046875,607259.812500]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-voc,9th,7th-8th,12th,Masters,Doctorate,5th-6th|Att education-num is [>7.735344]|Att marital-status is Married-civ-spouse,Separated,Widowed|Att occupation is Sales,Exec-managerial,Prof-specialty,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [<4877.126465]|Att capital-loss is [<0.000000]|Att hours-per-week is [36.471230,42.721893]|Att native-country is United-States,Cambodia,England,Canada,India,South,China,Cuba,Iran,Italy,Poland,Vietnam,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Yugoslavia,Trinadad&Tobago,Holand-Netherlands|>50K -Att age is [24.165386,41.925980]|Att workclass is Private,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [162065.265625,192000.500000]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,9th,12th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>10.633330]|Att marital-status is Married-civ-spouse,Widowed,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Adm-clerical,Transport-moving,Armed-Forces|Att relationship is Wife,Husband,Other-relative|Att race is White,Other,Black|Att capital-loss is [<3490.758057]|Att hours-per-week is [42.643852,71.994011]|Att native-country is United-States,Cambodia,England,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Jamaica,Vietnam,Ireland,France,Dominican-Republic,Taiwan,Columbia,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [56.676716,83.323280]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,State-gov,Without-pay,Never-worked|Att fnlwgt is [<1464674.625000]|Att education is 11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,Masters,1st-4th,10th,5th-6th,Preschool|Att education-num is [>11.319902]|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Protective-serv|Att relationship is Wife,Own-child,Husband|Att race is White,Other|Att sex is Male|Att capital-gain is [<52969.945312]|Att capital-loss is [<1358.036499]|Att hours-per-week is [29.827484,43.998516]|Att native-country is United-States,Cambodia,England,Canada,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Italy,Poland,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Haiti,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Peru|>50K -Att age is [27.700842,29.086540]|Att workclass is Private,Federal-gov,Local-gov,State-gov,Without-pay|Att fnlwgt is [<660235.750000]|Att education is Bachelors,Some-college,11th,Assoc-acdm,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [10.669479,13.417771]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Sales,Exec-managerial,Transport-moving,Protective-serv|Att capital-gain is [<76375.578125]|Att capital-loss is [<1296.232544]|Att hours-per-week is [32.969398,81.603943]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),India,Greece,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [38.252708,68.023354]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov|Att fnlwgt is [<283225.875000]|Att education is Bachelors,11th,HS-grad,Prof-school,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [>10.976882]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Widowed,Married-spouse-absent|Att occupation is Craft-repair,Exec-managerial,Handlers-cleaners,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Own-child,Not-in-family,Other-relative|Att capital-loss is [<2743.850342]|Att hours-per-week is [48.792202,90.436203]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,India,Japan,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,France,Ecuador,Taiwan,Haiti,Columbia,Hungary,Nicaragua,Scotland,Trinadad&Tobago,Peru,Hong|>50K -Att age is [51.784569,61.457550]|Att workclass is Private,Self-emp-inc|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [11.861103,13.498003]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed|Att occupation is Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Husband|Att race is White,Amer-Indian-Eskimo|Att capital-gain is [<57429.390625]|Att hours-per-week is [30.262922,46.604004]|Att native-country is United-States,Cambodia,Canada,Japan,Greece,China,Cuba,Honduras,Philippines,Poland,Jamaica,Portugal,Ireland,France,Taiwan,Haiti,Hungary,Guatemala,Scotland,Thailand,Yugoslavia,Peru,Hong,Holand-Netherlands|>50K -Att age is [26.386635,88.428413]|Att workclass is Private,Self-emp-not-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [<597256.312500]|Att education is Bachelors,Some-college,HS-grad,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,Preschool|Att education-num is [<10.028854]|Att relationship is Husband|Att capital-gain is [<74189.218750]|Att capital-loss is [1358.724731,1523.764893]|Att hours-per-week is [>35.252033]|Att native-country is United-States,Cambodia,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),India,Japan,South,China,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Yugoslavia,El-Salvador,Peru,Hong|>50K -Att age is [67.720444,88.458778]|Att workclass is Private,Self-emp-inc,State-gov,Without-pay|Att fnlwgt is [100187.703125,890901.437500]|Att education is Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [7.906202,12.093798]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Other-relative,Unmarried|Att sex is Male|Att hours-per-week is [<95.408981]|Att native-country is United-States,England,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Portugal,France,Laos,Ecuador,Haiti,Columbia,Hungary,Guatemala,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [34.371780,50.439072]|Att workclass is Private,Self-emp-inc,Never-worked|Att fnlwgt is [81096.531250,1100875.125000]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,9th,7th-8th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [7.198957,12.801043]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife,Husband|Att race is White,Amer-Indian-Eskimo|Att sex is Male|Att capital-gain is [<45711.781250]|Att capital-loss is [<1816.722534]|Att hours-per-week is [2.721097,75.994171]|Att native-country is United-States,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),India,Greece,South,China,Cuba,Iran,Honduras,Philippines,Poland,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Haiti,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago|>50K -Att age is [50.144566,59.965694]|Att workclass is Private|Att fnlwgt is [<235514.593750]|Att education is 11th,HS-grad,Prof-school,Assoc-acdm,7th-8th,12th,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [7.928963,13.008292]|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Priv-house-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Black|Att sex is Male|Att capital-loss is [<1275.046997]|Att hours-per-week is [32.675911,64.332283]|Att native-country is United-States,England,Puerto-Rico,Canada,Japan,Greece,South,Cuba,Honduras,Philippines,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Scotland,Thailand,Yugoslavia,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att fnlwgt is [<1384368.750000]|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att relationship is Own-child,Husband,Other-relative|Att race is White,Asian-Pac-Islander,Other,Black|Att sex is Male|Att capital-gain is [5056.666504,29293.910156]|Att hours-per-week is [34.793262,73.885986]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,Iran,Philippines,Italy,Vietnam,Mexico,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Guatemala,Nicaragua,Scotland,Yugoslavia,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [40.124783,45.397854]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,Masters,10th,Doctorate,5th-6th|Att education-num is [8.744121,9.424309]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Priv-house-serv|Att relationship is Husband|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-gain is [<71480.203125]|Att capital-loss is [<756.589600]|Att hours-per-week is [>50.109608]|Att native-country is United-States,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Cuba,Iran,Honduras,Poland,Mexico,Portugal,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,El-Salvador,Peru|>50K -Att age is [30.163546,53.836456]|Att workclass is Private,Self-emp-not-inc,Federal-gov,Local-gov,Never-worked|Att fnlwgt is [283403.000000,968974.937500]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,12th,Masters,5th-6th,Preschool|Att education-num is [9.077833,12.886292]|Att occupation is Tech-support,Craft-repair,Prof-specialty,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband,Other-relative|Att race is Amer-Indian-Eskimo,Other,Black|Att hours-per-week is [12.457415,58.387993]|>50K -Att age is [36.533531,53.029503]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [356479.593750,385466.843750]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool|Att education-num is [8.120307,15.879693]|Att marital-status is Married-civ-spouse,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Sales,Exec-managerial,Prof-specialty,Machine-op-inspct,Priv-house-serv,Protective-serv|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Other,Black|Att capital-gain is [<87497.914062]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,South,China,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Columbia,Hungary,Guatemala,Nicaragua,Thailand,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [38.704079,39.366226]|Att workclass is Private,Self-emp-not-inc,State-gov,Without-pay|Att fnlwgt is [62152.421875,640439.437500]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,Masters,Doctorate,5th-6th,Preschool|Att education-num is [>1.772292]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Own-child,Husband|Att race is White,Asian-Pac-Islander,Other|Att capital-gain is [<91356.671875]|Att capital-loss is [<4095.242188]|Att hours-per-week is [40.704422,60.429413]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,China,Cuba,Honduras,Italy,Poland,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Peru,Holand-Netherlands|>50K -Att age is [47.935272,48.625652]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Without-pay,Never-worked|Att education-num is [9.246284,11.243365]|Att marital-status is Married-civ-spouse,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Adm-clerical,Protective-serv,Armed-Forces|Att relationship is Wife,Own-child,Husband,Other-relative,Unmarried|Att sex is Male|>50K -Att age is [57.821995,59.762611]|Att workclass is Private,Without-pay|Att education is HS-grad,Prof-school,Assoc-acdm,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att education-num is [6.262557,9.446791]|Att marital-status is Married-civ-spouse,Divorced,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Handlers-cleaners,Farming-fishing,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Wife,Husband,Unmarried|Att race is White,Other|Att sex is Male|Att capital-gain is [<75263.937500]|Att hours-per-week is [25.831455,44.036316]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,India,Greece,South,China,Cuba,Iran,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Thailand,Yugoslavia,Peru,Hong,Holand-Netherlands|>50K -Att age is [>40.162380]|Att workclass is Private,Self-emp-inc,Federal-gov,Without-pay|Att fnlwgt is [171062.843750,1195493.500000]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [<14.466189]|Att marital-status is Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Farming-fishing,Transport-moving,Priv-house-serv,Armed-Forces|Att capital-loss is [2167.033203,3074.299561]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,South,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,France,Dominican-Republic,Laos,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [23.842709,60.144539]|Att workclass is Self-emp-inc,State-gov,Never-worked|Att fnlwgt is [<203754.203125]|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-voc,9th,10th,Doctorate|Att education-num is [10.432734,15.208842]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Adm-clerical,Farming-fishing,Priv-house-serv,Armed-Forces|Att relationship is Husband|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [<53439.273438]|Att capital-loss is [<2466.611328]|Att hours-per-week is [23.191805,42.583618]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,India,Japan,Greece,China,Cuba,Iran,Honduras,Philippines,Jamaica,Mexico,Ireland,France,Ecuador,Columbia,Hungary,Guatemala,Scotland,Thailand,El-Salvador,Peru,Hong,Holand-Netherlands|>50K -Att age is [24.625158,45.374840]|Att workclass is Private,Federal-gov,Local-gov,Without-pay,Never-worked|Att fnlwgt is [114541.164062,936534.000000]|Att education is Bachelors,Some-college,11th,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,1st-4th,Doctorate,5th-6th|Att education-num is [12.129642,13.671492]|Att marital-status is Married-civ-spouse,Divorced,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Other-service,Sales,Prof-specialty,Adm-clerical,Farming-fishing,Priv-house-serv|Att relationship is Wife,Own-child,Husband,Not-in-family,Other-relative|Att race is White,Other|Att sex is Male|Att capital-gain is [<0.000000]|Att capital-loss is [<2148.761230]|Att hours-per-week is [40.784866,48.651871]|>50K -Att age is [28.979519,38.238171]|Att workclass is Private,Federal-gov,Local-gov,State-gov|Att fnlwgt is [196475.468750,1020217.750000]|Att education-num is [10.105919,11.851534]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Craft-repair,Sales,Exec-managerial,Prof-specialty,Farming-fishing,Priv-house-serv,Armed-Forces|Att race is White,Asian-Pac-Islander,Other|Att hours-per-week is [<48.406677]|>50K -Att capital-loss is [1545.981934,1570.156494]|>50K -Att age is [37.700794,48.783184]|Att workclass is Private,State-gov,Without-pay,Never-worked|Att fnlwgt is [<510588.375000]|Att education is Bachelors,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,1st-4th,10th,5th-6th,Preschool|Att marital-status is Married-civ-spouse,Separated,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Exec-managerial,Machine-op-inspct,Priv-house-serv|Att relationship is Wife,Own-child,Husband,Other-relative|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [<63707.589844]|Att capital-loss is [<0.000000]|Att hours-per-week is [42.953217,47.446342]|Att native-country is United-States,Cambodia,England,Canada,Germany,South,China,Cuba,Honduras,Philippines,Italy,Poland,Jamaica,Portugal,Ireland,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Hungary,Thailand,Trinadad&Tobago,Peru,Hong,Holand-Netherlands|>50K -Att age is [45.309246,50.940258]|Att fnlwgt is [<1408755.500000]|Att education is 11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,7th-8th,12th,Masters,10th,Doctorate,5th-6th,Preschool|Att education-num is [8.385077,13.717967]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent|Att occupation is Tech-support,Sales,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Transport-moving,Priv-house-serv,Armed-Forces|Att relationship is Wife,Husband,Unmarried|Att race is White,Asian-Pac-Islander|Att sex is Male|Att hours-per-week is [54.325737,87.017433]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Outlying-US(Guam-USVI-etc),Greece,South,China,Honduras,Italy,Ireland,France,Ecuador,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Yugoslavia,El-Salvador,Trinadad&Tobago|>50K -Att age is [46.352333,57.644806]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Never-worked|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [7.872714,9.847760]|Att occupation is Tech-support,Craft-repair,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Transport-moving,Armed-Forces|Att relationship is Wife,Husband,Other-relative,Unmarried|Att race is White,Amer-Indian-Eskimo,Other|Att capital-gain is [1814.151611,90816.390625]|Att hours-per-week is [>21.007118]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Japan,Cuba,Iran,Jamaica,Vietnam,Mexico,Portugal,Ireland,Dominican-Republic,Laos,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Thailand,El-Salvador,Trinadad&Tobago,Peru|>50K -Att age is [30.548519,31.598606]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Never-worked|Att education is Bachelors,11th,HS-grad,Assoc-acdm,9th,7th-8th,12th,10th,5th-6th,Preschool|Att education-num is [>5.046400]|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-spouse-absent|Att occupation is Other-service,Exec-managerial,Handlers-cleaners,Adm-clerical,Priv-house-serv,Protective-serv|Att relationship is Wife,Husband,Not-in-family|Att native-country is United-States,Cambodia,England,Puerto-Rico,Germany,Outlying-US(Guam-USVI-etc),Japan,Greece,China,Cuba,Iran,Philippines,Italy,Jamaica,Vietnam,Portugal,Ireland,France,Laos,Ecuador,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [33.663177,38.262493]|Att workclass is Private,Self-emp-not-inc,Self-emp-inc,Local-gov,Without-pay|Att fnlwgt is [131612.406250,298502.593750]|Att education is Some-college,HS-grad,Prof-school,Assoc-acdm,7th-8th,12th,Masters,1st-4th,10th,Doctorate|Att education-num is [9.778521,13.516270]|Att marital-status is Married-civ-spouse,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Machine-op-inspct,Priv-house-serv,Armed-Forces|Att relationship is Own-child,Husband,Other-relative,Unmarried|Att race is White,Asian-Pac-Islander,Amer-Indian-Eskimo,Black|Att sex is Male|Att capital-loss is [<167.253677]|Att hours-per-week is [39.846115,57.269798]|Att native-country is United-States,Cambodia,England,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,South,China,Cuba,Philippines,Poland,Jamaica,Mexico,Portugal,Ireland,France,Ecuador,Taiwan,Columbia,Nicaragua,Thailand,Peru,Hong,Holand-Netherlands|>50K -Att age is [61.545464,71.801422]|Att workclass is Self-emp-not-inc,Federal-gov,State-gov,Never-worked|Att education is Bachelors,Some-college,HS-grad,Prof-school,Assoc-acdm,12th,Masters,1st-4th,10th,Doctorate,Preschool|Att education-num is [2.590843,11.608616]|Att occupation is Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Transport-moving,Protective-serv,Armed-Forces|Att relationship is Husband,Other-relative|Att capital-gain is [<58772.875000]|Att capital-loss is [<4119.341797]|Att hours-per-week is [36.709110,91.596375]|>50K -Att age is [40.129398,41.380867]|Att workclass is Private,Without-pay,Never-worked|Att fnlwgt is [<1229923.375000]|Att education is Bachelors,Some-college,11th,HS-grad,Assoc-acdm,9th,12th,Masters,1st-4th,10th,Doctorate,5th-6th|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Tech-support,Sales,Exec-managerial,Prof-specialty,Armed-Forces|Att race is White,Amer-Indian-Eskimo,Other,Black|Att capital-gain is [<73587.882812]|Att hours-per-week is [26.907963,48.553318]|Att native-country is United-States,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Philippines,Jamaica,Vietnam,Portugal,Ireland,Dominican-Republic,Taiwan,Haiti,Hungary,Guatemala,Nicaragua,Scotland,Thailand,El-Salvador,Trinadad&Tobago,Hong|>50K -Att age is [25.876938,36.171963]|Att workclass is Private,Self-emp-not-inc,Local-gov,State-gov,Without-pay,Never-worked|Att fnlwgt is [99970.343750,1124115.625000]|Att education is Bachelors,Some-college,11th,HS-grad,Prof-school,9th,7th-8th,1st-4th,Doctorate,5th-6th,Preschool|Att education-num is [>10.126526]|Att marital-status is Married-civ-spouse,Widowed,Married-spouse-absent,Married-AF-spouse|Att occupation is Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Protective-serv|Att relationship is Wife,Own-child,Other-relative|Att race is White,Black|Att sex is Female|Att capital-gain is [<33297.382812]|Att capital-loss is [<1721.595947]|Att hours-per-week is [22.655380,46.354046]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Dominican-Republic,Laos,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador|>50K -Att age is [31.205164,49.084705]|Att workclass is Self-emp-not-inc,Self-emp-inc,Federal-gov,Without-pay|Att fnlwgt is [<579097.625000]|Att education-num is [2.465700,15.199680]|Att marital-status is Married-civ-spouse,Never-married,Separated,Married-AF-spouse|Att occupation is Craft-repair,Prof-specialty,Handlers-cleaners,Adm-clerical,Priv-house-serv,Armed-Forces|Att relationship is Wife|Att race is White,Amer-Indian-Eskimo,Other|Att hours-per-week is [10.540596,49.247791]|Att native-country is United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),Greece,China,Iran,Philippines,Italy,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Yugoslavia,Trinadad&Tobago,Peru,Holand-Netherlands|>50K -Att age is [36.872719,44.104256]|Att workclass is Private,Self-emp-inc,Federal-gov,Local-gov,State-gov,Never-worked|Att fnlwgt is [72128.148438,839445.625000]|Att education is HS-grad,Assoc-acdm,Assoc-voc,9th,7th-8th,Masters,1st-4th,10th,5th-6th,Preschool|Att marital-status is Married-civ-spouse,Separated,Widowed,Married-AF-spouse|Att occupation is Tech-support,Craft-repair,Exec-managerial,Handlers-cleaners,Adm-clerical,Farming-fishing,Priv-house-serv,Protective-serv,Armed-Forces|Att relationship is Wife|Att race is White,Other|Att capital-loss is [<3281.939453]|Att hours-per-week is [<54.445587]|Att native-country is United-States,England,Puerto-Rico,Canada,Germany,Japan,South,China,Cuba,Honduras,Philippines,Italy,Jamaica,Vietnam,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Scotland,Thailand,El-Salvador,Trinadad&Tobago,Hong,Holand-Netherlands|>50K -Att age is [>42.057728]|Att workclass is Private,Self-emp-inc,Federal-gov,State-gov,Without-pay|Att fnlwgt is [78029.875000,934001.375000]|Att education-num is [8.477427,11.807761]|Att marital-status is Married-civ-spouse,Never-married,Married-spouse-absent,Married-AF-spouse|Att occupation is Craft-repair,Exec-managerial,Priv-house-serv|Att relationship is Wife|Att race is White,Amer-Indian-Eskimo,Other,Black|>50K -Default rule -> <=50K diff --git a/comparison_algs_src/postprocessing/example/TestFold0 b/comparison_algs_src/postprocessing/example/TestFold0 deleted file mode 100644 index 1adde0c..0000000 --- a/comparison_algs_src/postprocessing/example/TestFold0 +++ /dev/null @@ -1,4903 +0,0 @@ -@relation adult - -@attribute age real -@attribute workclass {Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked} -@attribute fnlwgt real -@attribute education {Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool} -@attribute education-num real -@attribute marital-status {Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse} -@attribute occupation {Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces} -@attribute relationship {Wife,Own-child,Husband,Not-in-family,Other-relative,Unmarried} -@attribute race {White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other,Black} -@attribute sex {Female,Male} -@attribute capital-gain real -@attribute capital-loss real -@attribute hours-per-week real -@attribute native-country {United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands} -@attribute class {>50K,<=50K} - -@data -47,Private,298037,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -63,Self-emp-not-inc,147589,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -22,Private,216984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -47,Private,146516,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,48,United-States,<=50K -70,Self-emp-inc,207938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,50,United-States,>50K -51,Self-emp-inc,110327,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -45,Private,260490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,210521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -25,Private,137367,Bachelors,13,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K -61,Private,190682,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Female,0,1669,50,United-States,<=50K -38,Private,184801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Self-emp-not-inc,157639,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,<=50K -36,Private,132879,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K -60,Private,95680,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -60,Private,116707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -45,Local-gov,159816,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,35,United-States,>50K -31,State-gov,75755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -61,Local-gov,224598,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,24,?,<=50K -74,Local-gov,168782,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Private,226883,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,49,United-States,<=50K -22,Private,102258,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,53833,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Private,196280,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Private,196227,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,State-gov,206889,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,?,30475,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -37,Private,186191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,?,<=50K -48,Federal-gov,72808,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -49,Private,209739,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -82,?,52921,Some-college,10,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,3,United-States,<=50K -20,Private,187149,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,80933,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -35,Local-gov,225544,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -56,Private,181220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,162572,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -60,Private,170278,5th-6th,3,Widowed,Sales,Not-in-family,White,Female,0,0,40,Italy,<=50K -40,Private,436493,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -44,Private,99203,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,109015,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,59469,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Iran,<=50K -36,Private,63509,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -27,Private,190525,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -30,Private,207301,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -48,Private,226696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -60,Private,156774,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -52,Local-gov,194788,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4787,0,60,United-States,>50K -23,State-gov,435835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,United-States,<=50K -35,Private,134922,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K -29,Private,363963,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,101603,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,35136,10th,6,Divorced,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Private,350440,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -73,?,185939,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,40135,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -31,Local-gov,156464,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,?,<=50K -25,Private,478836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,170701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,165953,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K -53,Private,228500,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -20,Self-emp-not-inc,190968,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -22,?,177902,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K -55,Private,234327,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -81,Self-emp-not-inc,136063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -54,Private,88019,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,32,United-States,<=50K -28,Private,389713,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,400195,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,265781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,227615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,219591,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -44,Private,187629,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -28,Private,275116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,197558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -30,Federal-gov,423064,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Male,0,0,35,United-States,<=50K -38,Private,289653,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,>50K -38,Private,110607,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -33,Private,330715,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -17,?,179807,10th,6,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -25,State-gov,77661,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K -38,Private,107302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,192323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,330144,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -59,State-gov,173422,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,38,United-States,<=50K -27,Local-gov,230885,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -53,Private,218311,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,State-gov,222800,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,223400,Assoc-acdm,12,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,35,Poland,<=50K -46,Self-emp-not-inc,113434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,126060,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -25,Private,98155,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,129460,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,30,Ecuador,<=50K -33,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,284859,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,308945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -53,State-gov,143822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -38,Private,277022,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Columbia,<=50K -39,Private,205359,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,143699,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -56,Private,77415,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,206512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -23,Private,398904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,393456,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,175641,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -58,State-gov,21838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -20,Private,214238,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,32,Mexico,<=50K -36,Private,225330,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,170086,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -61,Private,172037,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,129499,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,166517,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,State-gov,163480,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,211880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,245626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -37,Self-emp-inc,97986,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K -34,Private,341239,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -37,Federal-gov,54595,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,?,440417,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -20,Private,325744,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,193998,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,33975,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -30,Private,29522,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -56,Private,99894,10th,6,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,30,Japan,>50K -35,Private,348690,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,174714,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,186224,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Self-emp-not-inc,164593,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,?,<=50K -25,Private,247006,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,187724,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -50,Private,283676,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,333119,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,140516,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,142764,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -65,Private,174603,5th-6th,3,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,Italy,<=50K -39,Private,303677,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,15,United-States,<=50K -42,?,195124,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,Dominican-Republic,<=50K -28,State-gov,445824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -32,Private,173351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -47,Local-gov,48195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K -33,Private,69748,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,31964,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Local-gov,191364,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,France,>50K -58,Private,186106,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,104719,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -51,Private,277471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,317539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -27,?,294642,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,102988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Ecuador,>50K -65,Private,161400,11th,7,Widowed,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K -38,Private,359001,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -34,Private,181388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,197054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,147258,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -56,Private,68080,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,>50K -17,Private,29571,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -54,Private,97778,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,244147,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -44,Private,57233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,180881,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,175686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,324421,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,Private,35644,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -27,Private,133937,Masters,14,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,42703,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,202373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -50,Private,95435,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,65,Canada,<=50K -48,Private,101299,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,120359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,167440,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,40,United-States,<=50K -51,Self-emp-inc,338836,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,110702,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,2036,0,60,United-States,<=50K -54,Private,205337,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -38,Private,120074,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -30,Private,302438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,226020,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K -44,Self-emp-not-inc,460259,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,298623,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,137951,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -25,Private,378322,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K -35,Private,234271,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,246891,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -43,Private,145711,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -73,Self-emp-not-inc,151255,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,75,United-States,<=50K -36,Self-emp-not-inc,127740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -47,?,80451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,147206,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -66,Private,127921,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2050,0,55,United-States,<=50K -37,Self-emp-not-inc,58343,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,56,United-States,<=50K -29,Private,140830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,178147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -30,Self-emp-not-inc,609789,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,350387,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Federal-gov,125933,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,122116,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,136331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,243829,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,184846,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,68991,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -42,Private,100479,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,?,78255,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -43,Private,190403,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,107563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,362999,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,236990,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K -41,Local-gov,170924,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,7,United-States,<=50K -39,Private,106347,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,65716,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,Private,223212,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,109117,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -35,Private,261382,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,314322,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Private,115358,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,252947,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -80,Self-emp-not-inc,29441,7th-8th,4,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,15,United-States,<=50K -31,Private,156493,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,150095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,95423,HS-grad,9,Married-AF-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -49,Private,129513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -39,Private,177075,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,101364,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -44,Private,146659,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,35,United-States,>50K -42,Private,424855,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3908,0,40,United-States,<=50K -58,Self-emp-not-inc,115439,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,250217,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,70,United-States,<=50K -27,Private,191177,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,?,415913,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,309170,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -63,Private,30270,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,25820,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -50,Self-emp-not-inc,186565,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -28,Federal-gov,42003,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -53,Private,156843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,54,United-States,>50K -20,Federal-gov,178517,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,331065,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K -34,Private,286675,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,184466,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -46,Private,91262,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -27,Private,277760,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Federal-gov,161926,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,284343,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,247102,10th,6,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,39640,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -59,?,117751,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,8,United-States,<=50K -59,Local-gov,130532,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,257942,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,272671,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -72,?,113044,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,Private,189932,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -55,Local-gov,286967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,101977,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,149640,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,308498,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -42,Local-gov,445382,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -17,Private,142587,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,224541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -80,Self-emp-not-inc,184335,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -36,Local-gov,95462,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,386299,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,180060,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,6849,0,90,United-States,<=50K -42,Private,143342,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,173804,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,?,211743,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K -72,Private,135378,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -32,Private,169768,Bachelors,13,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,164379,Bachelors,13,Divorced,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K -29,?,142443,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -48,Private,128460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -42,Private,167650,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -60,Private,156889,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Local-gov,193130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,178449,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,49,United-States,<=50K -78,Self-emp-not-inc,59583,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -36,Private,334291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,State-gov,142757,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -33,Local-gov,269604,5th-6th,3,Never-married,Other-service,Unmarried,Other,Female,0,0,40,El-Salvador,<=50K -29,Private,106179,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K -31,Private,263561,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,126117,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,209955,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,265077,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,48102,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,50,United-States,>50K -69,State-gov,34339,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,211391,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -62,Private,116104,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Germany,<=50K -27,Private,311446,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K -30,Private,171598,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -52,Private,172165,10th,6,Divorced,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -17,Private,152710,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,32825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -45,State-gov,62726,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,State-gov,159782,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -38,Private,43712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K -61,Private,217125,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -28,Private,72443,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,60,United-States,<=50K -46,Private,72896,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,395026,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -33,Self-emp-not-inc,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,208899,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,?,32897,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -44,Private,192976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -42,Private,228456,Bachelors,13,Separated,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K -51,Private,123053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,5013,0,40,India,<=50K -65,Private,176796,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,208358,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -54,Federal-gov,175083,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -21,State-gov,165474,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,91189,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -45,Private,297676,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K -21,Private,216672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,366842,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,?,>50K -37,Private,174844,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K -44,Private,322799,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,200928,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,40021,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -41,Private,302122,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,251675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -53,Local-gov,163815,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,2179,41,United-States,<=50K -48,Private,276664,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -35,Private,399455,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,52,United-States,<=50K -41,Private,67339,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,416577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K -40,?,162108,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,Private,253716,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,229769,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -52,Local-gov,181132,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -51,Private,205100,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,>50K -21,?,169600,Some-college,10,Married-spouse-absent,?,Own-child,White,Female,0,0,35,United-States,<=50K -53,Self-emp-not-inc,67198,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,80,United-States,<=50K -70,Self-emp-not-inc,155141,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,12,United-States,>50K -40,Private,219164,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,5178,0,40,United-States,>50K -52,Private,193116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,174714,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -26,Private,151626,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,45,United-States,<=50K -29,Federal-gov,107411,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,204557,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,223105,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,130959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,2407,0,6,Canada,<=50K -45,Private,230979,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,36340,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -41,Private,341204,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,?,316663,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K -36,Private,269318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,219199,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,151141,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -46,Private,110646,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,56,United-States,<=50K -32,Private,154087,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,113995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,Private,162302,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -45,Self-emp-inc,188330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,178282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,195919,10th,6,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,40,Dominican-Republic,<=50K -25,Private,154941,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -49,Private,165539,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K -34,Self-emp-inc,127651,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,380674,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K -53,Self-emp-inc,263925,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -54,Private,291755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,142219,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,60,United-States,>50K -23,Private,250743,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,253759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -45,Private,276087,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K -40,Private,137421,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,India,>50K -36,Private,32709,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K -58,Self-emp-not-inc,98015,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K -50,Self-emp-inc,209642,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K -39,Federal-gov,206190,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Private,191503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -40,Private,169031,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Local-gov,100054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,347025,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,?,113445,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -46,Private,188325,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,270421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -51,Private,337195,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K -20,Private,260199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -20,?,133061,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,359131,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K -51,Local-gov,175750,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -47,Local-gov,47270,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,?,260954,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,152742,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K -47,Private,275095,9th,5,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -56,Private,208415,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K -60,Private,184183,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K -55,Self-emp-inc,120920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,227282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,36467,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -26,Private,101150,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,41,United-States,<=50K -53,Local-gov,394765,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,221680,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,112485,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,118947,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,202188,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,50,United-States,<=50K -46,Private,247043,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -52,Private,173987,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,230478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,279173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,154571,Assoc-voc,11,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,50,South,<=50K -18,Private,156950,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -30,Private,87561,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,61343,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -68,Self-emp-not-inc,261897,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -35,Private,288158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,113571,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -18,?,30246,11th,7,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -17,Private,67444,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -36,Private,93225,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Federal-gov,307404,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,142689,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,185408,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Self-emp-not-inc,92792,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,161444,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -31,Private,194752,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -21,Private,235442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,72119,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,276559,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K -77,Private,89655,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,229737,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,India,>50K -56,Private,442116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K -51,Local-gov,174861,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -58,Private,140363,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,30,United-States,<=50K -21,Private,159567,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,?,97261,Some-college,10,Never-married,?,Own-child,White,Male,594,0,30,United-States,<=50K -48,Private,176732,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,73684,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -59,Self-emp-not-inc,178353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -57,Private,27459,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,55500,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,334744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -39,Private,266347,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,170066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,100009,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,132222,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,375603,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,Private,101352,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,53147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,37,United-States,<=50K -34,Private,165737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,43,India,>50K -33,Private,361497,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -45,Local-gov,311080,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -20,Private,194686,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K -41,Private,208613,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,153475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,194504,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,195602,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -52,Private,30846,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,State-gov,135162,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -25,Private,485496,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -72,Self-emp-not-inc,104090,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Scotland,<=50K -49,Private,53893,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -24,Private,174907,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -65,?,174904,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,178780,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,?,175166,Some-college,10,Never-married,?,Own-child,White,Female,2176,0,40,United-States,<=50K -23,Private,195508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -78,Self-emp-not-inc,82815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,3,United-States,>50K -33,Private,40681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,3674,0,16,United-States,<=50K -43,Private,271807,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,105252,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,2392,40,United-States,>50K -54,Private,236157,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,265706,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,169071,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,189468,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -47,Private,192793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -40,Private,173001,Some-college,10,Married-civ-spouse,Tech-support,Own-child,White,Female,0,1902,40,United-States,>50K -28,Private,266070,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Self-emp-inc,137367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K -28,Private,181466,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -45,Local-gov,148254,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K -41,Federal-gov,187462,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -17,Private,132636,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,16,United-States,<=50K -57,Private,140426,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K -43,Private,115562,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -62,Private,177493,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -26,Private,485117,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -58,Private,112945,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,213296,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -63,Private,100099,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,125461,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -42,Private,134220,Assoc-voc,11,Divorced,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Private,73796,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -38,Private,435638,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K -60,Private,240521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -46,Self-emp-inc,170850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Self-emp-not-inc,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -61,State-gov,199495,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,168906,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -41,Private,29591,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -44,Private,103759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,Private,183778,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,234289,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,276310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -44,Private,174283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -17,?,197732,11th,7,Never-married,?,Own-child,White,Female,0,0,20,England,<=50K -53,Private,156612,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,?,45186,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,?,208406,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -54,Private,220115,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -54,Private,324023,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -50,Private,115284,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,126701,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,13550,0,50,United-States,>50K -26,Private,104834,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -32,Private,94041,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,198216,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,166662,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -34,Private,287315,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -20,Private,229414,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -27,Private,199118,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Nicaragua,<=50K -29,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,198330,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K -36,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -44,Private,182383,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -42,Local-gov,261899,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,320984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -48,Private,120724,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -33,Federal-gov,198827,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,191389,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Local-gov,212932,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,20,United-States,<=50K -39,Private,191002,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,Poland,<=50K -56,Self-emp-inc,216636,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,United-States,<=50K -31,Private,241360,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,190333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,State-gov,36741,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,?,313445,HS-grad,9,Separated,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -19,Private,269991,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -26,Private,40915,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -25,Private,301634,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,211319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -34,Private,233729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,>50K -64,Self-emp-not-inc,178748,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -33,?,202366,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K -24,Private,215251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,185360,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -30,?,331237,HS-grad,9,Separated,?,Own-child,Black,Female,0,0,20,United-States,<=50K -29,Private,86613,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K -23,?,99399,Some-college,10,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -42,Self-emp-inc,240628,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -66,Federal-gov,38621,Assoc-voc,11,Widowed,Other-service,Unmarried,Black,Female,3273,0,40,United-States,<=50K -37,Private,34180,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,209818,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,55,United-States,<=50K -62,Private,122033,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Private,82283,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -34,Private,97933,9th,5,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -31,Private,56964,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K -34,Private,153927,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -69,Federal-gov,47341,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -68,Self-emp-not-inc,234859,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -36,Self-emp-not-inc,219611,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,2174,0,50,United-States,<=50K -38,?,70282,Masters,14,Married-civ-spouse,?,Wife,Black,Female,15024,0,2,United-States,>50K -63,Private,209790,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -67,?,126514,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -67,Local-gov,258973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -17,Private,31007,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -45,Self-emp-inc,179030,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,35,South,<=50K -27,Self-emp-not-inc,404998,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,82906,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,4064,0,35,England,<=50K -53,Private,308082,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,15,El-Salvador,<=50K -49,Private,169180,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K -27,Private,200500,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,137314,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,157595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,349365,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,65,United-States,<=50K -47,Private,95155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -56,Private,136472,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -59,Private,159008,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,20,United-States,>50K -37,Private,58337,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -40,Private,151294,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K -25,Private,241825,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,46,United-States,<=50K -45,Local-gov,272182,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,5013,0,40,United-States,<=50K -20,Self-emp-inc,134815,9th,5,Never-married,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K -55,Private,140063,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,31449,Assoc-acdm,12,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,166213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -37,Private,324019,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,?,129476,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -21,Private,129172,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K -33,State-gov,163110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -39,Self-emp-not-inc,188571,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,248010,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,29807,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Japan,<=50K -23,Private,195532,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,308027,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,162228,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,33331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,184224,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,145329,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,401,0,20,United-States,<=50K -36,Private,33157,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,State-gov,392668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,256504,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K -20,Private,188409,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,109494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K -21,Private,356286,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,State-gov,149342,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -28,Private,328949,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,215188,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -69,Self-emp-not-inc,240562,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -42,Self-emp-inc,277256,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -25,Private,183575,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,183125,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -48,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,108836,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,84224,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,314240,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K -60,Private,127084,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2042,34,United-States,<=50K -24,Private,310380,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K -18,?,171088,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,114200,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,198986,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -26,Private,263444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,183780,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K -56,Private,97541,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -37,Self-emp-not-inc,241463,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,65,United-States,>50K -69,Private,295425,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -38,Private,186934,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -54,?,155755,HS-grad,9,Divorced,?,Not-in-family,White,Female,4416,0,25,United-States,<=50K -31,Private,157887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -18,Private,46247,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -31,Local-gov,189269,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,166343,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,50,?,<=50K -35,Private,99156,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,190290,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -51,Private,239155,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,157640,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K -35,Private,57640,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,State-gov,60412,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -34,Private,73585,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -22,Private,138768,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,85019,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -54,Private,294991,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,186328,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,417605,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -90,Private,311184,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,?,<=50K -67,State-gov,173623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,30,United-States,<=50K -46,Private,285750,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,55,United-States,<=50K -53,Private,99185,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -19,Private,218956,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -52,State-gov,338816,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,>50K -55,Federal-gov,31728,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,91964,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,340917,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -25,Private,190107,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -69,Private,269499,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,8,United-States,<=50K -38,Private,216845,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,Mexico,<=50K -49,Private,110669,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -19,Private,571853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,63079,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,297380,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Private,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,109165,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,528616,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -19,Private,204337,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -33,Private,176673,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,372692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,217439,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -55,Private,84231,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,250630,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Private,167476,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,100375,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -22,?,139324,9th,5,Never-married,?,Unmarried,Black,Female,0,0,36,United-States,<=50K -40,Private,26892,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -18,Private,333611,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,54,Mexico,<=50K -38,Private,247506,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,233851,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -59,Self-emp-inc,132559,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,55,United-States,>50K -36,Private,187847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,30012,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -61,Self-emp-not-inc,215591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -30,Self-emp-not-inc,178255,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,?,<=50K -62,Self-emp-not-inc,204085,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -64,?,178556,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,56,United-States,>50K -25,Private,38090,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K -65,State-gov,42488,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2653,0,8,United-States,<=50K -48,Private,115784,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -51,Self-emp-not-inc,168539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -33,Private,194901,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,2444,42,United-States,>50K -70,Private,145419,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K -55,Private,201232,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -35,Local-gov,116960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -63,Local-gov,382882,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,98155,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,213834,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,84661,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,318982,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -28,Private,228075,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Hong,<=50K -57,Local-gov,190748,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -41,Private,70037,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,3004,60,?,>50K -42,State-gov,184527,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -17,Private,134829,11th,7,Never-married,Other-service,Own-child,White,Male,2176,0,20,United-States,<=50K -27,Private,132412,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,?,<=50K -30,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -34,Private,209808,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -17,Private,188996,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Private,226735,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K -71,Private,258126,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,39,Cuba,<=50K -43,Self-emp-inc,140988,Bachelors,13,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,45,India,<=50K -67,?,233182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -27,Private,129009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -23,Private,253190,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -21,Federal-gov,201815,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,30,United-States,<=50K -51,?,117847,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -18,Private,78045,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,75387,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,194748,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,49,United-States,<=50K -29,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,204742,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -41,Private,125461,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -32,Private,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,40,United-States,<=50K -34,Private,34374,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Private,239404,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -50,Private,240496,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -33,Private,55176,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,166193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,283320,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,172186,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,180138,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,172706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,191460,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Federal-gov,786418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -59,State-gov,261584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -55,Private,66356,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,331481,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,1669,60,?,<=50K -32,Self-emp-not-inc,181212,Some-college,10,Separated,Farming-fishing,Unmarried,White,Female,0,0,65,United-States,<=50K -21,Private,176690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -37,Private,191754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -19,Private,158603,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,37,United-States,<=50K -32,Private,250853,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,56201,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -45,Self-emp-not-inc,285335,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -36,Private,108293,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -32,Private,80058,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K -27,Private,336162,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -52,Private,317625,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,22610,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,129573,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -42,Private,135056,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,272944,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,128538,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -52,Private,164519,HS-grad,9,Widowed,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -46,Local-gov,121370,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -49,Self-emp-inc,289707,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,263339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -60,Local-gov,113658,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -27,Private,93021,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -25,Private,192149,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,State-gov,352045,Masters,14,Separated,Craft-repair,Not-in-family,White,Male,99999,0,40,United-States,>50K -18,Private,28648,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,362062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -20,Private,323573,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -62,Private,138157,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,159442,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,203518,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,229826,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,171546,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -42,Self-emp-inc,325159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,196674,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,435022,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,190776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,189565,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,291362,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,226396,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -56,Private,209280,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K -39,Self-emp-not-inc,41017,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -37,Private,234901,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K -30,Private,205916,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -48,Local-gov,204629,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,Canada,>50K -43,Private,243476,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,158746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,271795,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,54260,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,75826,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,162675,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,Cuba,<=50K -31,Private,441949,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,>50K -22,Private,64520,12th,8,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K -21,?,197583,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,141003,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,419554,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K -59,Private,31782,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -30,Private,315640,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,China,>50K -45,Private,112761,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,346014,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,296462,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K -19,State-gov,149528,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -52,Private,191130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -44,Local-gov,339346,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,60,United-States,>50K -33,Private,168981,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -49,Self-emp-inc,201080,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -50,Private,258819,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -34,State-gov,180871,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -58,Self-emp-inc,183870,10th,6,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -23,State-gov,368739,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,216479,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,?,146325,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K -37,Local-gov,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,Local-gov,134768,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -59,State-gov,354948,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -21,Private,214716,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -24,State-gov,330836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,27620,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -17,Private,184924,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,15,United-States,<=50K -28,Private,124680,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,60,United-States,<=50K -31,Private,185814,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K -31,Private,49469,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -22,Private,138504,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -35,Self-emp-not-inc,99357,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -42,Private,175935,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1980,46,United-States,<=50K -35,Federal-gov,38905,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,66622,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -35,Private,350103,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,35166,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K -52,Private,128378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,180859,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K -40,Private,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -43,Federal-gov,72887,Bachelors,13,Married-spouse-absent,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -47,Private,198223,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,187750,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Private,82623,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,48,United-States,>50K -36,Self-emp-not-inc,34180,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,>50K -29,Local-gov,188278,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,433325,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -18,?,255282,11th,7,Never-married,?,Own-child,Black,Male,0,1602,48,United-States,<=50K -39,Federal-gov,410034,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,131230,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -51,Private,169364,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Ireland,<=50K -32,Private,144949,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,148069,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,191910,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,220101,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,387663,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,208978,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K -20,?,348148,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -67,Private,72776,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,10566,0,15,United-States,<=50K -35,Private,302239,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,49020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,177665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -45,Local-gov,168191,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -24,Private,403671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -23,State-gov,241951,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,171393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -45,Private,179048,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,>50K -23,Private,54472,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,306513,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -76,Self-emp-not-inc,42162,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,2,United-States,<=50K -69,Private,136218,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,103948,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,129460,10th,6,Widowed,Adm-clerical,Unmarried,White,Female,0,2238,35,United-States,<=50K -29,Private,498833,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Nicaragua,<=50K -44,Private,462838,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K -60,?,139391,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,42,United-States,<=50K -50,Private,154728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,167476,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,7,United-States,<=50K -18,Private,36882,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,204277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K -40,Private,181015,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,47,United-States,<=50K -72,Local-gov,144515,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K -20,Private,187158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -38,Self-emp-not-inc,194534,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,99999,0,60,United-States,>50K -30,Private,97723,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -36,Private,224541,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,El-Salvador,<=50K -52,Local-gov,89705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,?,145258,11th,7,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K -35,?,153926,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -43,State-gov,99185,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,151584,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -26,Private,143280,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Local-gov,144322,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -40,Private,293485,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,32,United-States,<=50K -45,Private,233511,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,206814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K -22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -66,Private,174491,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,178249,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -19,Private,443809,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -59,Private,175942,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -46,Private,166181,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K -67,Self-emp-inc,323636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,Canada,<=50K -22,Private,266780,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,24,United-States,<=50K -36,Private,248445,HS-grad,9,Separated,Transport-moving,Other-relative,White,Male,0,0,60,Mexico,<=50K -33,Private,159888,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-inc,182750,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -43,Private,248186,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -69,Self-emp-inc,106395,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -22,Federal-gov,218445,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,?,481987,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,122276,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K -46,Self-emp-not-inc,139397,10th,6,Separated,Exec-managerial,Unmarried,White,Female,0,0,15,Ecuador,<=50K -43,Private,148998,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,94235,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,223212,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -27,?,61387,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -29,Private,220692,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Private,174655,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -58,Local-gov,36091,Masters,14,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -37,Private,167735,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -32,?,53042,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,408328,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,187279,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K -35,Private,95708,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,60,United-States,>50K -31,Private,339738,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K -30,Private,95299,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K -39,Private,172718,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,150804,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -50,Private,91475,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -64,?,117349,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -53,Federal-gov,147629,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -19,Private,195805,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -56,Private,162301,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,108140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,205338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,146735,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Private,196894,11th,7,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,325353,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K -57,Private,372020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K -45,Private,408773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -31,Private,373185,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,42,Mexico,<=50K -44,Private,71269,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,114937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,172822,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,98211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,110622,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K -31,Private,106437,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,250423,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,195638,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,141858,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,274096,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -37,Private,334291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,245661,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,197600,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -67,Private,192670,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Private,182740,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -24,?,67586,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K -57,Self-emp-not-inc,222216,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K -39,Private,301628,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -58,Private,132606,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,100997,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,335542,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,50,United-States,<=50K -54,Private,343242,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -23,Private,595461,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -23,Private,216867,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,342642,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,175232,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-inc,224498,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,202091,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,186849,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,41721,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -32,Private,496743,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,34292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,?,83046,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -38,Private,100295,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,Canada,>50K -49,Private,87928,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,176189,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,?,148489,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -60,?,24215,10th,6,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,10,United-States,<=50K -36,?,177974,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,111256,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,175540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,183802,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,200153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,36592,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,91,United-States,<=50K -47,Private,152073,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -50,Federal-gov,339905,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,112974,11th,7,Never-married,Prof-specialty,Other-relative,White,Male,0,0,3,United-States,<=50K -48,Private,185039,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,200445,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1974,40,United-States,<=50K -45,Private,262802,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,171876,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,187115,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,165215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K -54,Private,185042,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K -34,Private,145231,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,35,United-States,<=50K -27,Private,110648,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,353512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,165315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -28,Private,68642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K -17,Private,53611,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -42,Local-gov,159931,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -52,Private,167794,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -20,Private,436253,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -33,Self-emp-not-inc,73585,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Local-gov,311914,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,62865,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Self-emp-not-inc,24961,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,147377,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -26,State-gov,162487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,?,<=50K -25,Local-gov,176616,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,112835,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,202683,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,State-gov,117393,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K -90,?,166343,1st-4th,2,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,209174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -49,Private,83622,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K -47,Private,191277,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,239130,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,40,United-States,>50K -31,Private,111363,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,State-gov,91121,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Local-gov,247507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -48,Private,168283,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -26,Private,31290,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -34,Private,153614,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -28,Private,77009,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -60,Private,113440,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -52,Federal-gov,30731,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Self-emp-not-inc,212318,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Local-gov,216965,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,222115,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K -31,Private,19491,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2202,0,40,United-States,<=50K -43,Self-emp-inc,260960,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,159732,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,79787,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,87205,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K -37,Self-emp-not-inc,400287,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,15,United-States,>50K -50,Private,256861,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -33,Private,709798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -54,Private,111469,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,40955,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K -58,Local-gov,156649,1st-4th,2,Widowed,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,116834,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,?,<=50K -29,State-gov,199450,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,26598,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,198186,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,230168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,91,United-States,<=50K -22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,185068,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,Puerto-Rico,<=50K -47,Private,185385,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,24,United-States,<=50K -24,Private,214542,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,34098,10th,6,Widowed,Farming-fishing,Unmarried,White,Female,0,0,56,United-States,<=50K -69,Private,229418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,183173,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,179413,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,160279,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -63,Self-emp-inc,222289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,37070,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Japan,<=50K -61,Private,84587,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -31,Private,101761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K -24,Private,441700,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,198965,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Federal-gov,194630,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,79646,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -28,Private,407043,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,165360,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,State-gov,71344,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,169460,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -26,Private,28443,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,358886,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,288433,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,95835,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,36,United-States,<=50K -81,Self-emp-not-inc,137018,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -58,Private,233193,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K -19,Private,136758,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,190273,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,287480,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,181820,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,178976,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,43533,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -57,?,137658,HS-grad,9,Married-civ-spouse,?,Husband,Other,Male,0,0,5,Columbia,<=50K -52,Federal-gov,168539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,168943,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,23,United-States,<=50K -18,Self-emp-inc,29582,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -54,Private,229983,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -76,Private,316185,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K -43,State-gov,261929,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,25236,0,64,United-States,>50K -69,?,214923,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -40,Private,109762,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -61,?,198686,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -33,Private,160634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -64,Private,312498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,?,128900,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Private,202239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,State-gov,88528,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K -25,Private,60358,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,32426,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Private,174242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -20,Private,163687,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -67,?,212759,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -33,Self-emp-not-inc,182926,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K -33,Private,287878,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,26,United-States,<=50K -34,Private,349148,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,63,United-States,<=50K -17,Private,120676,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -19,Private,159269,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -44,Private,229954,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,362835,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,226629,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -50,Private,155594,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -43,Private,293176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Private,377401,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,Canada,>50K -75,Private,104896,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2653,0,20,United-States,<=50K -30,Private,197886,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -38,Private,117802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -35,Private,356838,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,55,Poland,<=50K -19,Private,57206,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,173858,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,35,China,<=50K -58,Local-gov,205267,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -31,Private,143653,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -52,Self-emp-not-inc,123011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Private,175083,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,52,United-States,<=50K -26,Private,212800,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -33,Private,213226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -23,State-gov,215443,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K -29,Self-emp-not-inc,241431,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,30973,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,298449,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2179,60,United-States,<=50K -56,?,131608,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -40,Local-gov,179580,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,179557,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,123211,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,>50K -24,Private,108495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,India,<=50K -26,Private,182308,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,352542,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,110622,Masters,14,Divorced,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K -59,Self-emp-not-inc,148526,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,205737,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,254211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K -37,Private,211494,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1980,55,United-States,<=50K -44,Private,222434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,185407,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Poland,>50K -37,Private,203079,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -26,Private,153078,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,80,?,>50K -49,Private,192776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -45,Local-gov,187715,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,36999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -36,Private,224531,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,171315,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,187308,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -21,Private,163595,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,338836,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,36,United-States,>50K -60,Private,232618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -50,Self-emp-not-inc,167728,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -44,Private,160261,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,2377,35,Hong,<=50K -34,Private,134737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -46,Private,96552,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,17,United-States,<=50K -53,Private,299080,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,222978,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K -29,Self-emp-not-inc,69132,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,60,United-States,>50K -67,?,174995,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,2457,40,United-States,<=50K -39,Private,115289,Some-college,10,Divorced,Sales,Own-child,White,Male,0,1380,70,United-States,<=50K -32,Self-emp-not-inc,33124,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Self-emp-not-inc,278557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -26,Private,195105,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K -51,Local-gov,387250,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -30,Self-emp-inc,124420,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K -26,Private,227332,Bachelors,13,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K -36,Private,465326,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,168441,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -20,Private,212582,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -40,Private,478205,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,197613,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Federal-gov,227244,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K -42,Private,153414,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -22,?,61499,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,117201,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,97306,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K -49,Private,357540,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -46,Self-emp-not-inc,95256,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,124680,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,13550,0,35,United-States,>50K -54,Private,138852,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,224716,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -66,Private,423883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,257124,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -27,Private,179915,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,99,United-States,<=50K -33,Private,275632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,295120,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -32,Private,186824,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,85877,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,60,United-States,>50K -38,Private,27016,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K -56,Self-emp-not-inc,125147,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -45,Self-emp-inc,145697,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -67,Self-emp-not-inc,178878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,12,United-States,<=50K -50,Private,158948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,84,United-States,<=50K -23,State-gov,305498,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,45564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,93235,12th,8,Never-married,Other-service,Own-child,White,Female,0,1721,25,United-States,<=50K -22,Private,255575,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Private,74660,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,?,367984,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,188823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -79,Local-gov,132668,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -41,Self-emp-not-inc,120539,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -22,?,22966,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -26,Private,90277,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K -27,Self-emp-inc,399904,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,Mexico,<=50K -20,Private,50397,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,35,United-States,<=50K -25,Local-gov,203408,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,279960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,43819,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,43,United-States,>50K -58,Self-emp-inc,120384,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,177426,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,169129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,144556,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -33,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,>50K -40,Private,154374,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -42,Private,87284,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K -50,Private,108446,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,114719,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -25,Private,40255,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -59,Private,96840,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,105830,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,157605,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,24153,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -23,Private,207415,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -18,Private,347336,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -53,Private,260106,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Local-gov,188245,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -20,Private,224238,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,295010,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,176711,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K -44,Federal-gov,38434,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -30,Private,345522,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K -34,Private,215047,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -53,Private,287927,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,England,<=50K -35,State-gov,102268,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -22,State-gov,181096,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K -34,Private,87131,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -43,Self-emp-not-inc,95246,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K -28,Private,91299,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K -28,Private,177036,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -64,Local-gov,84737,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,United-States,>50K -17,Private,108909,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -59,Private,70857,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -20,Private,215247,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,188243,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -58,Private,29928,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K -38,Federal-gov,77792,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,56,United-States,<=50K -51,Local-gov,199688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -35,Private,32528,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,188738,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K -34,Private,103596,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,59083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,217019,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,28,United-States,<=50K -55,Private,208311,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,20,United-States,>50K -51,Private,76044,Masters,14,Divorced,Prof-specialty,Unmarried,Other,Male,4787,0,35,Mexico,>50K -48,Local-gov,127675,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -37,Private,220237,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,115323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -17,?,170320,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -36,Private,176050,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,113035,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,170785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,Self-emp-not-inc,342635,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,256864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -28,Private,205337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,274720,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K -60,Federal-gov,27466,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K -38,Local-gov,156383,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,167476,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,258657,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,59083,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,45,United-States,>50K -49,Private,81973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -22,Private,193089,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -26,Private,208326,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3942,0,45,United-States,<=50K -23,Private,98283,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -56,Private,314149,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,345405,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K -40,Private,273425,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Private,170142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,330466,Bachelors,13,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -52,Local-gov,278522,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -50,Private,108926,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -55,Private,128045,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,225267,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,123031,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,48,Trinadad&Tobago,<=50K -41,Private,84610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -30,Private,78980,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,315287,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,189702,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,201412,10th,6,Never-married,Farming-fishing,Own-child,White,Male,594,0,5,United-States,<=50K -35,Self-emp-inc,99146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -53,Private,82646,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -41,Self-emp-not-inc,254818,Masters,14,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Peru,<=50K -27,?,501172,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,419,20,Mexico,<=50K -33,Private,58582,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,182703,Masters,14,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -33,Private,91666,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,341846,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,197050,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -59,Local-gov,176118,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,198704,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,117700,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,107218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -42,Private,319588,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,253799,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K -26,Local-gov,208122,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,1055,0,40,United-States,<=50K -29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,225395,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,60,Mexico,<=50K -53,Self-emp-not-inc,263925,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K -51,Federal-gov,306784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -24,Local-gov,111450,10th,6,Never-married,Craft-repair,Unmarried,Black,Male,0,0,65,Haiti,<=50K -57,Private,197994,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,32,United-States,<=50K -25,Private,195201,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,50,United-States,<=50K -42,Private,162003,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Private,338376,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -30,Federal-gov,188569,9th,5,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,258768,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,75,United-States,<=50K -54,Self-emp-not-inc,155965,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -39,Self-emp-not-inc,336793,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -40,Private,191982,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -34,Private,684015,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K -63,Private,187919,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -42,Private,247514,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,>50K -35,Private,41777,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -27,?,188711,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -64,Self-emp-inc,59145,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -58,Local-gov,311409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,30,United-States,>50K -29,Private,152503,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K -90,Self-emp-not-inc,82628,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2964,0,12,United-States,<=50K -55,Private,189528,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -77,Self-emp-not-inc,138714,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,259336,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K -39,Self-emp-inc,33975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -59,Local-gov,197290,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,91658,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Local-gov,337768,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Self-emp-inc,192945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -44,Federal-gov,239539,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -25,Local-gov,31873,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Local-gov,203353,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,12,United-States,<=50K -26,Private,220499,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,166371,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -27,Private,259840,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,178615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,95967,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -26,Private,102875,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,India,<=50K -29,Private,162551,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,>50K -63,Private,361631,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -29,Local-gov,270421,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,192660,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -19,Private,574271,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -53,Private,270546,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K -17,Private,53367,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,97306,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,110622,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -18,Private,126021,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,189194,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,160647,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,296478,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,160187,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,14084,0,38,United-States,>50K -40,Private,30201,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,93287,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,235371,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,177368,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -48,Private,175925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -48,Private,250733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,99014,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -43,Self-emp-inc,253811,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -48,Private,277946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,76487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,203761,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K -58,Private,265579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,277314,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,1902,50,United-States,>50K -46,Private,188325,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -42,Federal-gov,201520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,43,United-States,>50K -49,Private,149809,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -41,Private,104334,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,?,265434,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -32,State-gov,175931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -73,Federal-gov,127858,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,3273,0,40,United-States,<=50K -44,Private,173704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -75,?,35724,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -35,Private,381583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,United-States,>50K -43,Private,159549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Local-gov,249101,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,357954,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,India,<=50K -59,Self-emp-inc,110457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,149486,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -36,Private,94954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,206951,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,34218,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,147548,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,368832,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -45,Self-emp-not-inc,58683,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K -49,Local-gov,321851,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Self-emp-inc,177828,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,>50K -17,Private,236091,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -29,Private,32897,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,Private,347166,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,45,United-States,>50K -24,Self-emp-not-inc,49154,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -48,Private,136455,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -69,Self-emp-inc,169717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,45,United-States,>50K -24,Private,224238,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,159449,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,361742,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,365871,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,32,United-States,<=50K -51,Federal-gov,45334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,70,?,<=50K -35,Private,51700,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,108140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2202,0,45,United-States,<=50K -18,Private,120544,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K -58,State-gov,279878,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,Private,114413,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -51,Private,155403,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -24,Private,192017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,482732,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,269243,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,114639,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Federal-gov,253135,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,?,<=50K -43,Private,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,188436,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -35,?,144172,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K -26,Private,104257,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,553405,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,104729,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,Mexico,<=50K -40,Private,190122,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,241607,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,224059,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,146121,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K -31,Private,422836,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -35,Self-emp-not-inc,313132,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,203894,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Local-gov,129311,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -84,Private,188328,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -61,State-gov,31577,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -64,Local-gov,202738,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -41,State-gov,205153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,1184622,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K -22,Private,91189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -51,?,165637,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Private,115618,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,212944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -20,Private,164922,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,318036,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,95647,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -39,Self-emp-not-inc,151835,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,256294,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -54,Private,170562,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -26,Private,158333,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Columbia,<=50K -24,Private,283613,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,147393,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -28,Private,106935,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-inc,46221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,55,United-States,>50K -30,Local-gov,197886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,37274,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -22,Local-gov,121144,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,18,United-States,<=50K -52,Private,236497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -19,Private,232368,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,59944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Local-gov,123088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,<=50K -36,Federal-gov,203836,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,192572,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -59,Private,187025,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,296158,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,182979,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,26672,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -44,Private,236746,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,45,United-States,>50K -21,Private,305781,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K -24,Private,72887,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -19,Private,343200,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -38,Private,259019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -28,Local-gov,199172,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -75,Local-gov,31195,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Self-emp-not-inc,56328,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K -41,Private,267252,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K -52,Self-emp-not-inc,217210,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -57,Private,145189,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,265099,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -35,Private,265535,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,Jamaica,>50K -51,Federal-gov,237819,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,212895,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,114288,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,129357,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Local-gov,100776,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,117381,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,43904,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,359854,Bachelors,13,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,35,Mexico,<=50K -44,?,468706,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,318483,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,124449,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,8,United-States,>50K -47,Private,182054,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,105460,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -51,Private,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,184698,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -21,Private,220857,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,194352,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K -41,Private,94113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,60,United-States,>50K -34,Private,443546,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,131224,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -41,?,152880,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,28,United-States,<=50K -49,Private,123207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -37,Private,112497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,183751,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -41,Local-gov,90692,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -49,Private,101320,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,1902,40,United-States,>50K -58,Local-gov,310085,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,?,104025,11th,7,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K -40,Self-emp-not-inc,163512,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,8,Guatemala,<=50K -68,Private,225612,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K -37,State-gov,180667,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,?,219122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,167065,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,317809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,348491,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,139364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -29,Private,285419,12th,8,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Local-gov,167835,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K -51,Private,189762,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,>50K -53,Self-emp-not-inc,151159,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K -19,Private,117444,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,265356,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,214541,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -44,Self-emp-not-inc,264740,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,174921,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,106742,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -50,Private,138179,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -20,Private,221955,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,Private,104981,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,48,United-States,<=50K -43,Private,184105,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -47,Self-emp-inc,77660,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -44,Private,194049,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -28,Private,139903,Bachelors,13,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Without-pay,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -42,State-gov,101950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -25,Private,268222,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,415913,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -33,Federal-gov,122220,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -57,Private,182028,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,Private,236341,5th-6th,3,Widowed,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K -47,Private,188330,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K -51,Private,194097,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -58,Self-emp-inc,182062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K -52,Private,94988,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,150025,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K -34,Private,346122,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Local-gov,75785,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,212562,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,343403,Doctorate,16,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,?,<=50K -46,Local-gov,327886,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,234286,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K -44,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -39,State-gov,343646,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Mexico,>50K -42,Private,219155,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -56,Private,151474,9th,5,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,State-gov,175389,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -25,Private,220284,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -25,Private,111058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K -23,Private,194951,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,Ireland,<=50K -44,Private,105936,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,187124,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,116635,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K -57,Private,180920,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -37,Private,256636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,239990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Private,101480,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,33,United-States,<=50K -59,Private,292946,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -53,Private,233780,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,2202,0,40,United-States,<=50K -29,Private,128509,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,38,El-Salvador,<=50K -27,Private,163862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Private,175945,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K -20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -40,Self-emp-not-inc,199303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,249543,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,16,United-States,<=50K -30,Private,56004,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,178780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K -28,Self-emp-not-inc,236471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,Private,154374,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -46,Private,26781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,238186,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K -28,Private,258364,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -58,Self-emp-not-inc,35551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -28,Local-gov,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Federal-gov,341695,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -63,?,331527,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,162688,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,103980,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K -39,Self-emp-not-inc,131808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,80,United-States,>50K -72,Self-emp-not-inc,47203,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4931,0,70,United-States,<=50K -19,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,30,United-States,<=50K -31,State-gov,188900,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,35,United-States,<=50K -18,State-gov,391257,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -27,Private,267325,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,3464,0,40,United-States,<=50K -57,Self-emp-inc,127728,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -35,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -26,State-gov,205333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -70,?,88638,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -22,Private,308334,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -33,Private,424719,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,146538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,406641,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -27,Private,180553,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,102945,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -47,?,99127,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -32,Private,419691,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,339863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -59,Private,179594,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,97419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -60,Self-emp-inc,189098,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,29020,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K -41,Private,193995,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -25,Private,231357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,129573,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,44,United-States,<=50K -45,Self-emp-not-inc,420986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,301359,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,164423,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,43,United-States,<=50K -22,Private,228394,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,108001,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -90,Federal-gov,195433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -27,Private,209641,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Local-gov,220669,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,6849,0,40,United-States,<=50K -42,Private,34218,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,80,United-States,>50K -55,Private,116878,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,30,United-States,>50K -46,Private,215895,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,4787,0,60,United-States,>50K -41,Private,194636,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,356838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K -31,Local-gov,102130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -23,Self-emp-not-inc,216129,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,81497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K -32,Private,212276,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -46,Private,114328,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,220931,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -56,Private,243076,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,21626,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,2202,0,56,United-States,<=50K -26,Private,245880,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,26698,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,66692,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,220979,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,40,United-States,>50K -18,Self-emp-not-inc,29582,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,189123,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,134113,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Self-emp-not-inc,292472,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,>50K -64,Private,151364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,109814,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,State-gov,191269,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K -40,Private,355918,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -48,Federal-gov,186256,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,109621,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,345259,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K -25,?,182810,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1564,37,United-States,>50K -46,Private,70754,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,244602,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -34,Private,561334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -67,Local-gov,191800,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,6360,0,35,United-States,<=50K -39,Private,430336,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,45,United-States,>50K -19,Private,41400,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,140474,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,34761,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,65738,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K -70,Self-emp-not-inc,268832,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,>50K -27,Private,50295,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -42,Private,152889,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K -51,Self-emp-not-inc,22154,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,242564,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2205,40,United-States,<=50K -32,Private,165295,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -25,Private,306352,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K -55,Private,164332,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -59,Federal-gov,190541,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -65,Private,204042,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,Private,310889,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,127948,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,170066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K -47,State-gov,103406,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,218890,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -54,Private,191072,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -54,Private,155433,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -50,Private,257126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,177705,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,242739,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,137421,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,60,Trinadad&Tobago,<=50K -42,Self-emp-not-inc,39539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K -37,Private,203828,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -29,Self-emp-not-inc,102326,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,29075,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -38,Local-gov,255454,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -25,Federal-gov,303704,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,183358,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -36,Local-gov,43712,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,227886,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,35,Jamaica,<=50K -60,Private,202226,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,44,United-States,>50K -43,Private,118308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -32,Self-emp-not-inc,121058,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,237452,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,Cuba,>50K -46,Private,172581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -26,Private,77661,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,90614,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,491000,Bachelors,13,Never-married,Exec-managerial,Other-relative,Black,Male,0,0,45,United-States,<=50K -17,Private,260978,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,14,Philippines,<=50K -48,Private,176810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,75313,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -47,State-gov,103743,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -68,Private,161744,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K -42,Private,303725,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,177087,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,2444,50,United-States,>50K -24,Private,190015,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,194804,Preschool,1,Separated,Transport-moving,Not-in-family,Black,Male,14344,0,40,United-States,>50K -28,Private,338376,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -39,Local-gov,102953,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,128272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,412296,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K -62,Private,343982,10th,6,Widowed,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Private,195584,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,256062,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -49,Private,175070,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,119272,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -27,State-gov,68393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,212304,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -24,Private,174043,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,129121,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,87310,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2174,0,40,United-States,<=50K -40,Private,202168,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -69,Federal-gov,143849,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Private,152636,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Federal-gov,334346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,180138,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,175034,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,175109,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,39060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -25,Private,238605,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,218322,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,334633,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,200559,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -23,Local-gov,210029,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,488720,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,162954,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -40,Private,276096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,State-gov,312351,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,213412,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,413365,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,159589,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,85,United-States,<=50K -33,Private,319854,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4650,0,35,United-States,<=50K -54,Private,105428,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -35,Self-emp-not-inc,368140,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -25,Private,50103,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,246635,Some-college,10,Never-married,Sales,Own-child,White,Female,2597,0,20,United-States,<=50K -65,Private,185455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -22,Private,221406,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,307767,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,166224,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -33,Self-emp-inc,206609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1876,50,United-States,<=50K -60,Self-emp-not-inc,285365,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -46,Self-emp-not-inc,246981,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,23,United-States,<=50K -39,?,142804,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,16,United-States,<=50K -45,Self-emp-not-inc,181307,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K -53,Federal-gov,128141,Bachelors,13,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,432376,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -51,Private,162632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -77,Private,253642,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,30,United-States,<=50K -57,Private,255406,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,1980,44,United-States,<=50K -22,Private,362589,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -25,Private,175382,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -60,State-gov,129447,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,219835,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,Guatemala,<=50K -26,Local-gov,337867,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,173736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,355856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -27,Private,192384,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,108083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-not-inc,187830,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,16,United-States,>50K -26,Local-gov,163189,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,143083,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K -48,Private,278039,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,246124,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,142519,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,105273,Bachelors,13,Widowed,Craft-repair,Unmarried,Black,Female,6497,0,40,United-States,<=50K -72,?,117017,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -34,Private,170017,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,115443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -58,Private,131608,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -42,State-gov,99185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,Private,200671,Bachelors,13,Divorced,Transport-moving,Own-child,Black,Male,6497,0,40,United-States,<=50K -33,State-gov,243678,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K -22,Private,388885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,410509,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,44983,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -26,State-gov,208122,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -40,Private,136244,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -68,Private,223486,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,7,England,<=50K -28,Private,339897,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,Mexico,<=50K -35,Private,77146,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,244147,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -19,Private,120003,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -57,Private,142791,7th-8th,4,Widowed,Sales,Other-relative,White,Female,0,1602,3,United-States,<=50K -38,Private,131827,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -29,Federal-gov,33315,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,315834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -28,Private,192257,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K -18,Private,123856,11th,7,Never-married,Sales,Own-child,White,Female,0,0,49,United-States,<=50K -27,Private,246974,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,151793,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K -59,Private,143372,10th,6,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -62,Local-gov,151369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,123586,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,73,?,>50K -37,Private,359796,Some-college,10,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,33610,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -20,Private,254025,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -26,Private,483822,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Guatemala,<=50K -36,Private,187098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,174308,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,144361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -69,?,183958,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -44,Private,172479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -22,Local-gov,39236,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,594,0,25,United-States,<=50K -55,Private,282753,5th-6th,3,Divorced,Other-service,Unmarried,Black,Male,0,0,25,United-States,<=50K -51,Private,302146,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,338409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,Cuba,<=50K -18,Private,151150,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,27,United-States,<=50K -22,Private,103805,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,36,United-States,<=50K -62,State-gov,202056,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K -48,Private,75104,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,267085,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,89495,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1797,0,4,United-States,<=50K -23,Private,107578,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K -34,Private,56150,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,358740,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -43,State-gov,114537,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -24,?,151153,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,99999,0,50,South,>50K -67,Private,131656,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2392,24,United-States,>50K -33,?,335625,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,190088,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -40,Self-emp-not-inc,240698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -61,Private,238913,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -25,Local-gov,249214,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,151411,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,174645,11th,7,Divorced,Craft-repair,Unmarried,White,Female,0,0,52,United-States,<=50K -59,Private,46466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,Private,183319,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,259719,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,0,40,Nicaragua,<=50K -32,Private,229732,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -31,?,317761,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,191389,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,127772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,112763,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,33644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,61559,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,203463,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,332409,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,276369,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -69,Self-emp-not-inc,227906,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3456,0,30,Germany,<=50K -55,Private,193130,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,116143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,213226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,35,?,<=50K -38,Private,277347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,95835,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,349703,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -45,Private,59380,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-inc,119891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K -33,Self-emp-inc,134737,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,70,United-States,<=50K -47,Private,98524,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,164790,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,50,United-States,>50K -26,Private,195067,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,185287,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,State-gov,120041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,225809,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,96459,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,75673,Some-college,10,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -27,Private,285897,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -46,Local-gov,59174,HS-grad,9,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,33,United-States,<=50K -41,Private,49654,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K -21,Private,190968,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,125031,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,249150,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -46,State-gov,353012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,117767,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -46,Private,282165,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Local-gov,331650,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,9562,0,32,United-States,>50K -45,Private,20534,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -53,Private,104461,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,8614,0,50,Italy,>50K -62,Private,217434,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,145637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -41,Private,59916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,63,United-States,<=50K -51,Private,98719,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,127610,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -72,Self-emp-not-inc,117030,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,197093,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,119735,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -37,Private,31368,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,Local-gov,36364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2267,40,United-States,<=50K -41,Local-gov,33658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -40,Private,105936,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,45564,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,50,United-States,<=50K -46,Private,358533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,265356,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,305834,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,558944,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,231866,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,122000,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -51,Federal-gov,106257,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -59,Private,294395,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,115562,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,160599,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,56019,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K -65,Self-emp-inc,115922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,226497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,332975,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,299828,5th-6th,3,Separated,Sales,Unmarried,Black,Female,0,0,30,Puerto-Rico,<=50K -40,Private,132839,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,119592,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2824,40,?,>50K -37,State-gov,115360,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Local-gov,192684,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -42,Local-gov,339671,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K -31,Self-emp-not-inc,150630,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,153501,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -59,Federal-gov,212448,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,Germany,<=50K -44,State-gov,59460,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -27,Local-gov,132718,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,112358,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,165695,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -61,Private,359367,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,144949,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -33,Self-emp-not-inc,109959,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -18,Private,406491,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,219886,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -30,Private,214993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,34637,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K -63,Private,188976,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,289436,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -19,Private,236396,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Local-gov,252029,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -23,?,370057,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,454915,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,201764,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,175600,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -57,Local-gov,148509,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,India,<=50K -41,Private,98061,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -90,Private,47929,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,101352,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K -34,Private,109917,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,336061,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,212534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,231981,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K -42,Private,318255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,243660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -51,Private,249741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,166585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -22,Private,341610,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,?,<=50K -18,Private,39302,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -48,Private,146497,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -51,Private,280278,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -67,?,39100,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K -24,Private,69045,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -68,Private,186943,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -51,Self-emp-not-inc,156802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K -51,Private,125796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Jamaica,<=50K -37,Private,271767,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -49,Private,60751,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,211531,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,172232,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -42,Self-emp-not-inc,140474,Assoc-acdm,12,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -26,Private,124111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,105431,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,155066,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,301862,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -18,Private,282609,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Honduras,<=50K -44,Private,104269,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -19,State-gov,140985,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,189257,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,24,United-States,<=50K -23,Private,274424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,298661,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Self-emp-inc,289349,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,9386,0,70,Germany,>50K -40,Private,270147,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -37,?,299090,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -32,Private,170983,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,147510,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,117774,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Portugal,<=50K -42,Self-emp-not-inc,206066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -21,?,509629,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -48,Private,41504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -30,?,361817,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,36999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -48,Private,115585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,210526,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,187215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,36,United-States,>50K -74,?,204840,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,56,Mexico,<=50K -19,Private,68552,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,197666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,145638,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,216851,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K -34,State-gov,117186,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -33,Private,31573,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,35644,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,204235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,464484,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,272476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K -44,Private,118212,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,91939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1721,30,United-States,<=50K -51,Private,41806,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,180599,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -47,Private,323212,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,195562,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,20,United-States,<=50K -35,?,476573,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -72,?,201375,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,126441,Some-college,10,Married-spouse-absent,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,227266,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,248220,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,53956,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,57,United-States,<=50K -20,Private,233624,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,154940,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -50,Self-emp-not-inc,29231,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,?,243981,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -48,State-gov,120131,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,8614,0,40,United-States,>50K -32,Private,193260,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -65,?,197883,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -46,Federal-gov,260549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K -65,?,178931,HS-grad,9,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,3818,0,40,United-States,<=50K -47,Private,128378,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,358382,Some-college,10,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,113760,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,80324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,62,United-States,>50K -32,Private,288229,Some-college,10,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,Greece,<=50K -22,Private,283969,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -30,Local-gov,47085,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,279175,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,251603,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,186932,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,176389,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,140027,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -50,Private,175339,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -81,Private,122651,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -39,Private,100032,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,15,United-States,>50K -50,Private,176157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,406811,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -50,Private,27432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -67,?,150264,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,>50K -58,Self-emp-not-inc,95763,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -21,?,205939,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,283724,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,49,United-States,<=50K -62,?,160155,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,6418,0,40,United-States,>50K -31,Private,88231,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -47,Private,219054,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,188917,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,262515,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -42,Private,183765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,515629,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,176162,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,148522,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,State-gov,341643,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,State-gov,252939,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,5455,0,40,United-States,<=50K -45,Private,226081,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,102112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -46,Local-gov,326292,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,105686,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -73,?,84053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -41,Private,117585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K -28,Private,78870,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K -32,Private,185177,Assoc-voc,11,Separated,Tech-support,Own-child,White,Male,0,1590,40,United-States,<=50K -46,Private,27669,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -33,Private,205950,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -61,?,226989,HS-grad,9,Divorced,?,Not-in-family,White,Male,4865,0,40,United-States,<=50K -41,Private,107845,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -44,State-gov,484879,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,98726,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,329752,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -54,Private,74660,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Canada,>50K -68,Private,339168,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -52,Private,357596,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -41,Private,277256,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,?,192321,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,80,United-States,<=50K -22,Private,215074,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,177675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -22,Private,315476,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,107189,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,353281,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -50,?,87263,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K -46,Self-emp-not-inc,342907,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -71,Self-emp-not-inc,130436,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Female,0,0,28,United-States,<=50K -28,Private,209205,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,44,United-States,<=50K -26,Private,211424,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -20,Private,291979,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K -37,Local-gov,249392,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -77,Self-emp-inc,155761,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -27,Local-gov,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -17,Federal-gov,99893,11th,7,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1602,40,United-States,<=50K -67,Private,224984,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,16,Germany,>50K -65,Self-emp-not-inc,336848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,119421,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -36,Private,41017,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -36,Private,112497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,181212,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Local-gov,324791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -22,?,199426,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,154568,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K -42,Private,159911,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,185267,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K -32,Federal-gov,111567,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,116338,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,653,60,United-States,<=50K -40,Private,63503,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,55191,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,154950,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,203027,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,318982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,106347,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -40,Private,132222,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,166181,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K -28,?,129624,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Private,349198,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,21,United-States,>50K -46,Private,213408,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K -19,Private,125591,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,200318,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,291566,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K -32,Private,732102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,120781,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K -28,Private,183885,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,210945,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Haiti,<=50K -66,Private,250226,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -39,Private,260084,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -29,Private,154236,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,58,United-States,>50K -39,Private,187693,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,Private,209213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,?,<=50K -35,Private,151322,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,365307,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -45,Private,358701,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,Mexico,<=50K -26,Self-emp-not-inc,201930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -73,Private,179001,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,7,United-States,<=50K -17,Federal-gov,29078,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K -41,Private,428420,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,226875,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,293594,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,3770,37,Puerto-Rico,<=50K -50,?,194186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -53,Private,149784,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -30,Private,172748,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,194759,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,1669,90,United-States,<=50K -20,?,229843,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K -35,Private,144401,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -24,Private,172594,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,60087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -27,Self-emp-not-inc,114225,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -37,Private,127772,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,22055,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -43,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -33,State-gov,25806,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,?,<=50K -46,Private,158825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K -59,Local-gov,358747,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -65,Private,80174,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,1848,0,50,United-States,<=50K -56,Private,76281,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,195602,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -41,Self-emp-not-inc,240900,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K -27,Private,99897,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -63,?,52750,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,164177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,353541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,185556,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,>50K -33,Self-emp-not-inc,155151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K -24,Private,166827,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -54,Local-gov,127943,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,47462,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,116613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Portugal,<=50K -38,Self-emp-not-inc,280169,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -56,Private,182460,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,222835,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -46,Local-gov,481258,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -34,Private,189759,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,157569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,145643,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K -63,Private,205246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -19,?,71592,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,104196,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,209900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,240467,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -74,?,33114,10th,6,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,1797,0,30,United-States,<=50K -24,Private,291578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,198452,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,58350,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,Private,341797,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -27,?,291547,Bachelors,13,Married-civ-spouse,?,Not-in-family,Other,Female,0,0,6,Mexico,<=50K -22,Private,150175,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -52,Local-gov,155233,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K -32,Self-emp-not-inc,62272,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,276009,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -21,?,96844,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,84977,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,130021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,43501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,Private,473133,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,349221,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,35,United-States,<=50K -35,Private,233533,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K -24,Private,190293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,172307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -43,Private,484861,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,38,United-States,<=50K -45,Private,81400,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,El-Salvador,<=50K -18,Private,129053,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K -31,Private,385959,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,49156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,188096,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -48,Private,171807,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,>50K -61,Self-emp-inc,119986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,154120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -66,Self-emp-not-inc,99927,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Private,455469,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -25,Private,44363,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,68273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,231818,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Greece,<=50K -20,Private,190290,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1602,40,United-States,<=50K -19,Local-gov,202184,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -49,Self-emp-not-inc,99335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,40955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Japan,<=50K -30,Private,180168,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,126945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,115496,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Private,60267,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -44,Local-gov,136986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -34,Private,73199,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -29,Self-emp-inc,104737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,110998,Masters,14,Widowed,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K -26,Private,197967,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,196514,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,?,362787,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K -32,Private,426431,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,400004,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,557082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -25,Private,243560,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Columbia,<=50K -50,Local-gov,125417,Prof-school,15,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,52,United-States,>50K -31,Private,50276,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,?,201196,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,334096,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K -42,Private,150568,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -54,Local-gov,29887,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,<=50K -41,Private,195897,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -51,State-gov,341548,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,142719,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -39,Private,278557,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,48,United-States,<=50K -45,Private,148995,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,30,United-States,>50K -56,Private,274475,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,33884,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Self-emp-inc,378036,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -44,Self-emp-not-inc,234885,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -46,Private,216164,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,29312,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -41,Private,154668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,293628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Philippines,>50K -39,Private,193689,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,113364,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,179112,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,?,<=50K -63,Private,170815,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -45,Private,25649,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -37,Self-emp-inc,27997,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,375313,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Philippines,<=50K -57,Federal-gov,192258,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,221884,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -28,?,174666,10th,6,Separated,?,Not-in-family,White,Male,0,0,80,United-States,<=50K -50,Local-gov,50048,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -43,Private,35824,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Local-gov,237811,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Haiti,<=50K -61,Private,149981,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2414,0,5,United-States,<=50K -34,Self-emp-not-inc,227540,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -28,Private,203171,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,55,United-States,<=50K -41,Private,118001,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -70,Local-gov,31540,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Private,132716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -54,Private,85423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -26,Private,213412,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,178341,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,60,United-States,<=50K -62,Self-emp-not-inc,265007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Ecuador,<=50K -30,Private,220148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K -31,Private,59083,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -51,Self-emp-not-inc,78631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -22,Private,401690,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,Mexico,<=50K -34,Private,263150,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -30,Private,92531,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -61,Private,215944,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -38,Private,284166,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,394690,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,?,108233,Assoc-acdm,12,Separated,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K -48,Self-emp-not-inc,324173,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Self-emp-not-inc,259299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K -19,Private,220001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -17,Private,46496,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,5,United-States,<=50K -35,Self-emp-not-inc,228493,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,65,Mexico,<=50K -46,Private,98350,10th,6,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,37,China,<=50K -46,Private,205100,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -64,Self-emp-not-inc,108654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1421,35,United-States,<=50K -50,Private,99307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K -44,Private,159580,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,State-gov,423561,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,129573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -55,Private,238638,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K -37,Self-emp-inc,186359,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K -54,Private,38795,9th,5,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,212437,Some-college,10,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K -19,Private,101549,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -33,Private,288840,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -55,Self-emp-inc,138594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -47,Private,160474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -30,Private,337494,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -23,Private,398130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,96,United-States,<=50K -25,State-gov,120268,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,50,United-States,>50K -33,Local-gov,184440,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,36,United-States,<=50K -36,Private,170031,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,204751,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -20,Private,391679,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,60,United-States,<=50K -32,Private,431551,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K -32,Private,239662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1579,36,United-States,<=50K -17,Local-gov,192387,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,190961,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,161482,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -27,Federal-gov,196386,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,El-Salvador,<=50K -22,Private,59924,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,405172,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,?,>50K -22,Private,167615,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,24292,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -32,Private,46746,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,254291,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Local-gov,163965,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,162688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,?,190497,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,114158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Local-gov,167027,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,102102,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,132749,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K -55,Private,183884,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,199439,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,Private,160261,HS-grad,9,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,14084,0,35,China,>50K -21,Private,113106,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,19,United-States,<=50K -32,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -54,Private,419712,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -40,State-gov,55294,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -34,Private,82623,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,303942,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,227446,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K -37,Self-emp-not-inc,101561,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -48,Private,99096,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,1590,38,United-States,<=50K -25,Private,135568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,?,123147,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K -19,?,172582,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -38,Private,340763,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,2339,47,United-States,<=50K -41,Private,30759,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,245378,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,137304,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,65,United-States,<=50K -46,State-gov,56841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Private,260997,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,227597,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,143059,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,205359,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -24,Private,51985,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,112656,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -30,Private,323054,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -47,Private,67229,11th,7,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Private,160786,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -76,Private,199949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,50,United-States,>50K -29,Private,31659,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,2202,0,45,United-States,<=50K -30,Self-emp-not-inc,164190,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,309974,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,154410,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,158737,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K -27,Private,467936,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,Mexico,<=50K -38,Private,423605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -28,Private,142712,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K -26,Local-gov,314798,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K -31,Local-gov,357954,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Private,165949,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,213140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,52,United-States,>50K -20,Private,55465,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -57,Private,195835,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,169104,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Male,0,0,75,Thailand,<=50K -36,State-gov,183279,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -21,Self-emp-not-inc,199419,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -39,Self-emp-not-inc,29874,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K -70,?,30772,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,38,United-States,<=50K -37,Private,233490,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,137554,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,135056,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Local-gov,154779,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Private,118230,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,189838,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Self-emp-not-inc,98466,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K -59,Private,158077,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,State-gov,34180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,139364,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,110597,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -18,?,36779,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -47,Local-gov,202606,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,State-gov,49539,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -54,Private,182854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,123586,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Male,0,0,25,United-States,<=50K -52,Private,163027,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K -57,Self-emp-not-inc,69905,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,15024,0,40,United-States,>50K -59,State-gov,109567,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,95763,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -18,State-gov,391257,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,544091,HS-grad,9,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K -52,Private,208302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -27,Self-emp-inc,233724,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -19,?,47235,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -43,Private,153489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,225156,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,424034,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Local-gov,247082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -33,Private,171892,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K -56,Private,92444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -27,Private,297296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,224512,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -71,Federal-gov,101676,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,94113,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -44,Private,476391,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,408717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,168515,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,116789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,274424,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,1831,0,40,United-States,<=50K -47,Self-emp-not-inc,243631,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -32,Private,72591,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,144940,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,188331,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -31,Private,361497,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,0,0,60,Portugal,<=50K -28,Private,212068,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1980,40,United-States,<=50K -21,Private,153542,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -20,?,123536,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,200671,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -67,Private,105438,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -30,Private,103649,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -35,Private,26987,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,170988,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -40,Federal-gov,130749,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Local-gov,100479,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -54,Private,234938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,55,United-States,<=50K -57,Private,358628,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,232569,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,183486,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -65,?,221881,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -47,Federal-gov,326048,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,133201,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K -35,Private,170092,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -36,Private,290409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,?,210547,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,34973,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,60,United-States,>50K -38,Self-emp-not-inc,122493,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -49,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Private,142061,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,164693,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,244402,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -20,Private,42706,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K -22,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,9,United-States,<=50K -20,Private,214387,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,117683,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -36,Self-emp-inc,487085,7th-8th,4,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,190514,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -55,Private,314592,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,State-gov,196900,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,39,United-States,<=50K -50,Federal-gov,111700,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -60,Private,194589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -65,Private,31924,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Private,156464,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,134997,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K -19,?,165416,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,143542,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,148187,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,66917,11th,7,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,40,Mexico,<=50K -51,Private,28978,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,199903,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,168556,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -19,Private,124906,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,25,United-States,<=50K -35,Private,292472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -29,?,339100,11th,7,Divorced,?,Not-in-family,White,Female,3418,0,48,United-States,<=50K -18,Private,130849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,17,United-States,<=50K -36,Private,370767,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,<=50K -56,Private,98630,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,197057,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -51,Private,340588,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,Mexico,<=50K -27,Private,363053,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,Mexico,<=50K -23,Private,99543,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K -21,Private,105577,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,156566,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,249385,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K -30,Private,283767,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -37,Private,154210,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -39,Private,80004,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,157165,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,104729,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K -56,Private,147989,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,110732,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,112139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -40,Private,209833,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,114733,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K -35,Private,225330,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,37522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -23,Private,140414,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,153328,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,51255,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -38,State-gov,156866,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,>50K -56,State-gov,54260,Doctorate,16,Married-civ-spouse,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2885,0,40,China,<=50K -51,Private,280292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,228399,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,32616,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,132476,Doctorate,16,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,United-States,>50K -29,Private,200511,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,240191,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,41310,0,90,South,<=50K -20,Private,233198,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,63503,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,>50K -66,Private,263637,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,193090,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,Private,37302,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,205949,HS-grad,9,Separated,Craft-repair,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,54342,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,60,United-States,>50K -46,Local-gov,66934,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -27,Local-gov,162973,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -31,Private,375221,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K -47,Private,183186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,250639,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -37,Private,405284,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,42,United-States,<=50K -30,Private,270889,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Private,115971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,301814,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,138847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Self-emp-not-inc,216283,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K -25,Private,184569,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K -41,Self-emp-not-inc,219869,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Local-gov,69758,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,48,United-States,>50K -27,Self-emp-not-inc,198493,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,190205,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,21755,Some-college,10,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -38,Local-gov,233571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,93662,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K -45,Private,167523,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,45,United-States,<=50K -40,Federal-gov,36885,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Private,139890,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,706180,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,190756,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -31,Private,246439,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,50,United-States,>50K -51,Local-gov,201040,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,>50K -31,Federal-gov,194141,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -90,Federal-gov,311184,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -46,Local-gov,160187,Masters,14,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -27,Private,198286,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -29,?,227026,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,40,United-States,<=50K -48,Private,147860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K -31,Private,185216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,150683,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,42,United-States,<=50K -44,Self-emp-not-inc,219591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,211585,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,321435,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,176862,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,289620,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,?,>50K -45,Self-emp-not-inc,94962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K -51,Private,99987,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,211032,Preschool,1,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,41310,0,24,Mexico,<=50K -24,Private,326334,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,39665,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -35,Private,227571,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -52,Private,225317,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -50,Private,98228,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -49,Private,82649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K -45,Private,289468,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Local-gov,160187,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,37894,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,242482,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -17,Private,198606,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,16,United-States,<=50K -50,Private,270194,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -20,?,86318,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -21,State-gov,73514,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -37,?,145064,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -19,Private,169758,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,209317,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K -30,Private,213002,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,14,United-States,<=50K -25,Private,67240,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,400356,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,190107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,1719,16,United-States,<=50K -45,Private,191098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -40,Private,47902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,120074,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,165673,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,278322,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Private,132222,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K -75,Private,95985,5th-6th,3,Widowed,Other-service,Unmarried,Black,Male,0,0,10,United-States,<=50K -44,Private,252930,10th,6,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,42,United-States,<=50K -34,Private,203814,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -31,Private,119422,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,111381,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -32,Self-emp-not-inc,210926,11th,7,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Nicaragua,<=50K -41,Private,107276,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Private,202812,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -46,Private,194698,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -23,Private,193586,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,155232,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,>50K -37,Self-emp-not-inc,188563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -20,?,121389,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -40,Self-emp-inc,37997,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,153475,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,El-Salvador,<=50K -32,Private,195576,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,264961,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -60,Private,154589,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,35,United-States,>50K -24,Private,198259,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,291755,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K -28,Private,64940,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -62,Private,69867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -40,Private,209547,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -67,Private,100718,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -44,Private,240043,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -42,Federal-gov,91468,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,62539,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K -46,Private,74895,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,<=50K -25,Private,122999,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,151960,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K -28,Private,175710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,?,<=50K -52,Private,184081,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Jamaica,<=50K -55,Self-emp-not-inc,170166,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -62,Private,226733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,State-gov,203279,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2463,0,50,India,<=50K -66,Private,48034,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -30,State-gov,193380,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K -24,Private,165474,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,39,United-States,<=50K -34,Private,37646,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -49,Self-emp-not-inc,79627,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,153132,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,310085,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,144778,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -27,Private,190784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,45,United-States,<=50K -55,Private,234213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,175931,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,378585,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -51,Self-emp-not-inc,111939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K -45,Local-gov,556652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -30,Private,94145,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -30,Private,262994,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,State-gov,80771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,176696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,236940,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,82726,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -54,Private,50385,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,>50K -49,Private,115784,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,121718,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -44,Private,161819,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,38145,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,102821,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,135776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,Self-emp-not-inc,189528,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,84,United-States,<=50K -45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -40,Private,346964,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,209057,Bachelors,13,Married-spouse-absent,Sales,Own-child,White,Male,0,0,50,United-States,>50K -34,Private,61272,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,173175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -32,Private,119176,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K -18,Private,169745,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,192932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,277112,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,178778,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,328518,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,112812,HS-grad,9,Married-civ-spouse,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,169638,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K -50,Federal-gov,289572,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,280164,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,32,United-States,<=50K -50,Private,92968,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -57,Federal-gov,197875,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,172991,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -70,Self-emp-inc,99554,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,123681,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -63,Private,158199,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,44,Portugal,<=50K -56,Self-emp-inc,205601,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -22,?,227943,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,44,United-States,<=50K -38,Private,200445,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -31,Private,168961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -43,Private,195212,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K -26,Private,381618,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,33983,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,195453,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,139364,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,157894,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -57,Private,367334,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Federal-gov,80057,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,>50K -42,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K -29,Private,286452,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,3418,0,40,United-States,<=50K -27,Private,225768,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -73,?,402363,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K -21,Private,334693,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,154087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,136081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K -22,Private,129172,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -42,Federal-gov,122861,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,251905,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,239877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,68879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,67065,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Male,594,0,25,United-States,<=50K -25,Private,29599,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -38,Private,218490,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -75,Private,256474,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,16,United-States,<=50K -20,Private,162164,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,45,United-States,<=50K -77,State-gov,267799,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,4,United-States,>50K -31,Local-gov,143392,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -54,Private,213092,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,182044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,191982,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K -25,Private,55360,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -61,Private,167840,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,38,United-States,<=50K -25,Private,116358,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,?,162034,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,184026,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,50,United-States,<=50K -24,Private,280960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,24,United-States,<=50K -36,Private,198841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -66,Private,217198,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K -35,Private,207066,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K -30,Federal-gov,73514,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K -39,Private,58343,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -52,Private,155278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -62,?,144583,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,143175,Some-college,10,Widowed,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K -51,Private,29036,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,342730,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,Private,32184,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -38,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Local-gov,229110,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Female,0,0,33,United-States,<=50K -18,?,28357,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -55,Self-emp-not-inc,53566,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -32,Self-emp-not-inc,337696,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,137126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -32,Self-emp-not-inc,420895,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,<=50K -23,Private,239539,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,?,>50K -17,Private,98209,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -25,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,226181,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,244419,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,223613,1st-4th,2,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,Cuba,<=50K -21,Private,102684,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,120939,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,5,United-States,>50K -41,Self-emp-not-inc,66632,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,105803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -31,Local-gov,189265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,84154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,143809,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,54152,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,?,<=50K -45,State-gov,305739,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Local-gov,244413,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,Dominican-Republic,<=50K -61,Private,120933,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,213226,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -31,Private,113667,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -60,Local-gov,232618,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,77816,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -33,Local-gov,254935,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,264876,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,194636,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -48,Private,148995,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,110243,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,229732,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -23,?,164732,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -45,Private,179428,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,203914,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -81,Self-emp-not-inc,108604,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -39,Local-gov,344855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K -21,Private,126314,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -67,Private,24968,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,143953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -23,Private,149574,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Self-emp-inc,65535,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,186256,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,101290,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,158352,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,24,Italy,<=50K -53,Private,126977,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Private,230136,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K -27,Private,333990,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,203126,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,?,<=50K -71,?,52171,7th-8th,4,Divorced,?,Unmarried,White,Male,0,0,45,United-States,<=50K -22,Private,268145,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,96359,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K -42,Private,119679,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,42,United-States,<=50K -43,Self-emp-not-inc,198096,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,457237,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,353550,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -22,Private,141003,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -20,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -40,Private,125461,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,65278,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,119422,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -36,Private,261382,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -46,Private,167915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Local-gov,98350,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,<=50K -27,Private,188171,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,60,United-States,<=50K -45,Local-gov,175958,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,26832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,316101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,?,115376,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -33,Private,150570,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,43,United-States,>50K -42,Local-gov,298885,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -61,?,101602,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,>50K -44,Private,160369,Some-college,10,Married-civ-spouse,Priv-house-serv,Husband,White,Male,0,0,2,United-States,<=50K -38,Private,103323,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,266960,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -39,Private,160623,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,423024,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,190367,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,171150,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,244945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,282944,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,157941,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,142226,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,289309,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -22,Private,482082,11th,7,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -64,State-gov,216160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Columbia,>50K -27,Private,120126,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -31,Private,37546,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,?,355890,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K -43,Private,175224,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,Nicaragua,<=50K -41,Private,279297,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K -23,Private,72922,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -60,Self-emp-not-inc,145209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -55,Federal-gov,238192,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -61,Private,52765,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,99,United-States,<=50K -50,Local-gov,226497,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -45,Private,38240,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,177531,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -20,Private,191948,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,181382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -18,Private,78528,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -55,Private,197399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -59,Federal-gov,115389,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -31,Private,243678,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,?,228620,11th,7,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,40955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,167428,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,445480,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -43,?,82077,Some-college,10,Divorced,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -72,Federal-gov,217864,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,106377,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,109982,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,230248,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -63,?,156799,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -53,Private,375134,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -46,Private,189763,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,State-gov,121294,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,Poland,<=50K -23,Private,297152,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -56,Private,176613,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -47,Private,183013,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,267147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,203488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -70,?,148065,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,>50K -23,Private,145111,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -25,Private,164488,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,?,226379,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,25,United-States,<=50K -22,?,129980,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -34,Private,187203,Assoc-acdm,12,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -24,Private,99386,Bachelors,13,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -41,State-gov,114537,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,219546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,157092,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -23,Local-gov,218678,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,294671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K -66,Private,197414,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Local-gov,141649,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -54,?,99208,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -49,Local-gov,192349,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -33,Private,488720,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -52,Federal-gov,23780,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,114746,11th,7,Married-spouse-absent,?,Own-child,Asian-Pac-Islander,Female,0,1762,40,South,<=50K -30,Private,190385,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -31,Private,162572,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -21,Private,141453,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,224793,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,1719,40,United-States,<=50K -40,Private,254478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -32,Self-emp-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,236861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,208725,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Private,227359,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,140359,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,3900,40,United-States,<=50K -44,Self-emp-not-inc,274562,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K -40,Private,92717,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,325461,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,266668,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,196278,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -33,Self-emp-not-inc,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -54,Private,138845,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,278220,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,40,United-States,<=50K -27,Local-gov,29174,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,83411,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,182460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K -28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,238386,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Private,36222,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -34,Private,235062,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Private,190748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,372898,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,328581,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Private,36270,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,162187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -22,Local-gov,137510,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,339442,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -22,?,118910,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,43,United-States,<=50K -32,Local-gov,95530,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,50459,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -28,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K -32,Private,185732,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,220915,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,87546,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,53956,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -36,Self-emp-not-inc,165855,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Germany,<=50K -37,Private,34378,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -45,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,309311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,143746,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,298539,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,130620,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -19,Self-emp-not-inc,47176,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,15,United-States,<=50K -25,State-gov,260754,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,223277,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -70,Private,121993,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,<=50K -18,Private,125441,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K -28,Private,27956,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,Philippines,<=50K -45,Private,428350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,1740,40,United-States,<=50K -51,Private,221532,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -31,Private,96480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Local-gov,149949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -63,?,445168,Bachelors,13,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,56,United-States,<=50K -45,Private,202496,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,37,United-States,<=50K -29,State-gov,245310,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -22,?,374116,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -43,Self-emp-not-inc,56920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,221955,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,43387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,England,>50K -36,Private,348960,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,State-gov,200068,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K -32,Private,252646,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,306225,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -27,Local-gov,172091,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -34,Private,205072,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,325159,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,318046,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -30,Private,172304,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -34,Private,347166,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -47,Federal-gov,53498,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Local-gov,72338,HS-grad,9,Divorced,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,56,United-States,<=50K -33,Private,277455,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,113175,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -51,Self-emp-inc,195638,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,148429,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,198211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,143909,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,103634,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,112507,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,308945,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,75,United-States,<=50K -36,Private,156352,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,31909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -66,Private,174276,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,50,United-States,>50K -41,Federal-gov,186601,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Local-gov,316582,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -56,Private,106850,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,37932,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,England,<=50K -31,Private,256680,Assoc-acdm,12,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -44,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K -31,Private,87560,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K -48,Private,118158,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -59,State-gov,200732,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,>50K -18,Private,375515,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -43,Local-gov,214242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,159008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,459548,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,Mexico,<=50K -19,Private,355712,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Private,529223,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,10,United-States,<=50K -38,Private,234901,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -45,Private,385793,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -19,Private,283033,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,194404,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -49,?,32184,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5013,0,15,United-States,<=50K -41,Self-emp-inc,99212,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,245482,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -18,Private,120691,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,?,<=50K -38,Private,322092,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,321456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,183470,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,42,United-States,<=50K -21,Private,56582,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -32,Private,176998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,373432,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -19,?,234877,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,154641,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K -38,Private,99388,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -30,Private,19302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -65,Private,195695,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,410034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -19,Private,183258,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,210381,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,65,United-States,>50K -50,Private,238959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -35,Private,342824,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,1151,0,40,United-States,<=50K -70,Private,195739,10th,6,Widowed,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -57,Self-emp-not-inc,25124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -62,?,129246,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,495982,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -41,Private,213019,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K -22,State-gov,125010,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -69,Private,102874,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -28,Federal-gov,183445,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,70,Puerto-Rico,<=50K -44,Private,97159,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,41506,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -24,Private,240137,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -19,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -58,State-gov,159021,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,50223,Some-college,10,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -48,Private,158944,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,>50K -53,?,155233,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,40,Italy,<=50K -33,Private,162312,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Japan,<=50K -52,Private,186785,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K -37,Private,361951,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,?,<=50K -43,Private,346081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -23,Local-gov,265148,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,360689,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1628,48,United-States,<=50K -53,Self-emp-inc,220786,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,128477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,232614,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -44,Federal-gov,240628,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K -43,Private,99212,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,48,United-States,>50K -59,?,87247,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K -60,State-gov,27037,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,182474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K -50,Private,128378,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,?,<=50K -41,Private,187336,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,269355,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K -19,Private,301747,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -36,Self-emp-not-inc,60269,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,153489,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3137,0,40,United-States,<=50K -32,Local-gov,232475,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -63,Private,346975,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K -43,Private,249771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,99,United-States,<=50K -37,Private,114765,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,State-gov,153788,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -38,Private,91716,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,151504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -54,Local-gov,249949,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K -31,Private,284703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,260254,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,450246,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -61,Local-gov,192085,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -20,Private,129240,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,179666,12th,8,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,151809,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -24,Private,198259,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -23,Private,361481,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -52,Private,216558,Some-college,10,Separated,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -26,Local-gov,197897,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,England,<=50K -19,Private,348867,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,15,United-States,<=50K -64,Private,285610,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,168539,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,278039,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,142809,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,910398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Private,74879,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,260782,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -36,Self-emp-not-inc,164526,Masters,14,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K -36,Private,169469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -20,?,308924,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -50,Private,146015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,144995,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,<=50K -35,Private,346766,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,197332,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,133935,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,El-Salvador,>50K -37,Private,116960,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -33,Private,231822,10th,6,Separated,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -50,?,23780,Masters,14,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Private,255191,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,219671,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Private,160703,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,133373,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K -47,Private,386136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -27,Local-gov,187746,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,3325,0,25,United-States,<=50K -18,Private,215190,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,337606,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1485,40,United-States,<=50K -46,Private,238162,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -35,Self-emp-not-inc,193260,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -39,Private,165215,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,15,Poland,<=50K -34,Private,115488,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,196891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,150324,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -75,Self-emp-inc,98116,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -33,Private,163003,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -40,Private,222504,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -63,Private,268965,12th,8,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,107302,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,India,<=50K -30,Local-gov,178383,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,306982,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K -41,Self-emp-inc,160120,Doctorate,16,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -30,Private,236861,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,45,United-States,<=50K -19,Local-gov,292962,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Female,0,0,40,United-States,<=50K -54,Private,227832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,179991,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,157901,11th,7,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,36,United-States,<=50K -18,Private,40822,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -46,Private,504725,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Mexico,<=50K -22,Private,129934,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -37,State-gov,108293,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -22,Private,185582,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,>50K -43,Private,334946,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -70,?,28471,9th,5,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K -47,Private,145041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K -19,Private,100009,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -30,Private,140869,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,440969,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -56,State-gov,67662,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -34,Self-emp-not-inc,168906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -46,Private,389843,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K -42,Private,332401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,193231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,198870,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -60,Private,320422,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,6849,0,50,United-States,<=50K -46,Private,192203,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,301251,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -18,?,274445,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,20,United-States,<=50K -38,Private,43770,Some-college,10,Separated,Other-service,Not-in-family,White,Female,4650,0,72,United-States,<=50K -81,Private,201398,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,?,<=50K -18,Private,185522,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K -62,Local-gov,208266,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,217530,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -51,Private,89652,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,4787,0,24,United-States,>50K -50,Private,131819,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,252046,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,251091,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Local-gov,255252,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,149218,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Federal-gov,84848,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,173730,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,65738,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,186410,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,196494,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K -48,Self-emp-not-inc,218835,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,<=50K -40,Private,27821,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,40,United-States,<=50K -63,Self-emp-not-inc,181561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,167440,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,48947,Assoc-voc,11,Widowed,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K -24,Private,321763,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -42,State-gov,190044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -41,Local-gov,225978,Assoc-voc,11,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -38,Private,110402,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,321577,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,383352,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -53,Private,127117,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,140782,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2415,3,United-States,>50K -24,Private,206827,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -55,Federal-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,312055,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,State-gov,363591,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,97030,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,745817,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K -57,Private,223214,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,29235,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -31,Self-emp-not-inc,30290,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,206862,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,250201,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -58,Private,185459,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,175413,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,35,United-States,<=50K -43,Private,102606,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -38,Self-emp-not-inc,197365,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,160920,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,168330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -42,Private,194636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,97883,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,118500,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,177896,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -38,State-gov,534775,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,50,United-States,<=50K -40,Private,169995,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -19,?,233779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -26,Private,238367,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,173590,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K -35,?,327120,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,107038,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,104196,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -37,Private,99146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -51,Local-gov,202044,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -37,Local-gov,130805,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,>50K -47,Self-emp-not-inc,228660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K -41,Local-gov,134524,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Private,374116,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,51233,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K -31,Private,164461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,<=50K -37,Private,171150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -63,Private,174018,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -38,Private,132879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,186183,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,80,United-States,>50K -33,Private,317660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,27067,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -57,Private,113090,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,290504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,176663,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,140327,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7298,0,35,United-States,>50K -21,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,178623,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K -66,Self-emp-not-inc,140456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,322658,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,91137,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,469697,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,30824,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,211440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -20,Private,24967,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,47,United-States,<=50K -31,Self-emp-inc,229741,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,45,United-States,<=50K -35,Local-gov,145308,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -69,?,106566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -22,Private,125010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -35,Private,295939,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Local-gov,39815,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -47,Private,204692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,264390,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,United-States,<=50K -34,Private,179877,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Local-gov,61778,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -61,Private,221534,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,162094,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,249043,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6767,0,40,United-States,<=50K -68,Local-gov,159643,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -40,Private,222756,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Local-gov,103759,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3942,0,40,United-States,<=50K -36,Self-emp-inc,132879,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -42,Private,31251,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,<=50K -68,Self-emp-not-inc,122094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -56,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K -52,Federal-gov,53905,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Local-gov,83791,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -37,Self-emp-not-inc,154410,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,Private,157778,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -36,Self-emp-not-inc,257250,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K -19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -19,State-gov,112432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,121102,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,2001,30,United-States,<=50K -18,?,340117,11th,7,Never-married,?,Unmarried,Black,Female,0,0,50,United-States,<=50K -40,Private,799281,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -26,Private,236008,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,183747,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,86643,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -55,Private,209535,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,325538,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,?,<=50K -48,Private,141511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,181091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,266324,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,1564,70,Iran,>50K -41,Federal-gov,371382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -65,Private,118779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -38,Self-emp-not-inc,230329,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -62,Private,84784,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1741,40,United-States,<=50K -64,State-gov,269512,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,282722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -34,Local-gov,28568,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Local-gov,24988,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1564,72,United-States,>50K -39,Private,249720,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -22,Private,70160,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,186993,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K -32,Federal-gov,72630,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,55,United-States,>50K -44,Private,171424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,55844,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -62,Local-gov,115023,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,98779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -50,Private,139793,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,3418,0,38,United-States,<=50K -53,Private,209906,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,Puerto-Rico,<=50K -22,Private,305781,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,Canada,<=50K -46,State-gov,250821,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -23,Private,315877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,247867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,80324,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,127895,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Private,125421,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -26,Private,293984,10th,6,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Private,270557,Masters,14,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K -43,Self-emp-not-inc,47261,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,188758,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -66,Local-gov,362165,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,2206,25,United-States,<=50K -41,Private,130126,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -25,Private,80220,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,258768,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,81232,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -43,Private,304175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Self-emp-not-inc,182796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,245524,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -30,Private,97521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -55,Local-gov,85001,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -47,Private,47270,12th,8,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,268913,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Iran,<=50K -59,Private,136413,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -60,Private,123218,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,153064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,321822,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -43,Private,307767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,182360,HS-grad,9,Separated,Prof-specialty,Unmarried,Other,Female,0,0,60,Puerto-Rico,<=50K -28,Private,157391,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,?,162034,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,120760,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -24,Private,388093,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,117251,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -29,Local-gov,376302,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Nicaragua,>50K -37,Private,125550,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,14084,0,35,United-States,>50K -35,Self-emp-not-inc,31095,Some-college,10,Separated,Farming-fishing,Not-in-family,White,Male,4101,0,60,United-States,<=50K -37,Federal-gov,45937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K -47,Local-gov,138342,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,El-Salvador,<=50K -64,Private,144182,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,23,United-States,<=50K -39,Private,76417,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,215895,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K -28,Self-emp-not-inc,119793,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,133456,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Private,105638,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,355320,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,Germany,>50K -36,State-gov,179488,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,55,United-States,>50K -35,Private,223514,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -45,Private,272729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,267967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -23,Local-gov,456665,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -37,Private,70562,1st-4th,2,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K -22,Private,193027,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -68,Self-emp-inc,260198,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,?,55492,Assoc-voc,11,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -70,Private,50468,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,3175,15,United-States,<=50K -29,Private,221366,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,38948,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -27,Private,189974,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -33,Local-gov,298785,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,207213,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,194526,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,246439,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,197558,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,173858,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K -35,Private,340428,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -38,Self-emp-inc,148287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Private,143582,HS-grad,9,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,48,China,<=50K -40,Private,132633,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1741,40,United-States,<=50K -62,Private,118696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,112247,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Self-emp-not-inc,331861,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -45,Private,84790,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -27,Private,144808,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,50791,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,224566,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1669,45,United-States,<=50K -46,Private,160474,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1590,43,United-States,<=50K -26,Private,100147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -57,Private,139290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -20,Private,200967,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -66,?,206560,HS-grad,9,Widowed,?,Not-in-family,Other,Female,0,0,35,Puerto-Rico,<=50K -25,Private,143280,10th,6,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K -51,Private,175122,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,181384,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -20,Private,216889,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -34,Private,617917,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -78,?,143574,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -32,Private,151053,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -53,Private,73134,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -41,Local-gov,176716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,153141,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -45,Private,243743,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,Private,351262,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,38,United-States,>50K -42,Private,184018,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -33,Private,221762,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -74,Private,68326,Assoc-voc,11,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,199198,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K -45,Private,125194,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -83,Private,186112,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,211239,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -47,Private,192984,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Local-gov,238405,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Federal-gov,221943,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,9386,0,40,United-States,>50K -50,Self-emp-not-inc,107581,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,173611,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,48520,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -90,Local-gov,153602,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,6767,0,40,United-States,<=50K -26,Private,197967,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -28,Private,176683,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,>50K -22,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,23,United-States,<=50K -32,State-gov,203849,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,19,United-States,<=50K -31,Local-gov,168906,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -31,Self-emp-not-inc,134615,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,171216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,205816,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -34,Private,184942,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,184321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1887,40,United-States,>50K -20,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -72,Private,249559,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K -35,Private,155611,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,114,0,40,United-States,<=50K -36,Private,240755,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,177625,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,159911,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K -41,Private,173682,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -36,Self-emp-inc,298624,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,34744,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -43,Private,152159,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -55,State-gov,26290,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -35,Private,27408,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,State-gov,247624,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,173804,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K -72,Private,149992,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,208761,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -53,Private,130143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -32,Local-gov,203849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,126743,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K -30,State-gov,107142,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -59,Private,162136,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K -29,Private,144592,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Private,186719,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K -45,State-gov,235431,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Local-gov,84570,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -72,Private,75594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2653,0,40,United-States,<=50K -43,Local-gov,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -50,Private,75472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,?,<=50K -30,Private,194901,Prof-school,15,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -46,Self-emp-inc,326048,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,39380,Some-college,10,Married-spouse-absent,Farming-fishing,Not-in-family,White,Female,27828,0,20,United-States,>50K -24,Private,91189,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,440647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,43607,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K -21,?,188535,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,156797,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -31,Federal-gov,86150,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,5178,0,40,United-States,>50K -35,Private,186035,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,224217,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -36,Private,189703,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,>50K -64,Local-gov,96076,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,189382,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,Local-gov,281784,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,1564,52,United-States,>50K -34,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,162067,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Haiti,<=50K -29,Private,195557,Assoc-acdm,12,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Federal-gov,277420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K -40,Self-emp-not-inc,89413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -43,Private,185670,1st-4th,2,Widowed,Prof-specialty,Unmarried,White,Female,0,0,21,Mexico,<=50K -34,Private,100950,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K -20,Private,227554,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K -30,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -18,Private,285013,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -40,Private,79488,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,220563,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,203836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,Columbia,<=50K -27,State-gov,146243,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,213512,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,105616,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,48,United-States,<=50K -34,State-gov,275880,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K -26,Private,341353,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -59,Private,226922,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,1762,30,United-States,<=50K -90,Private,250832,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,335665,11th,7,Never-married,Other-service,Other-relative,Black,Female,0,0,24,United-States,<=50K -57,Federal-gov,236048,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,?,111340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1573,40,United-States,<=50K -47,Private,328216,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,33678,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -36,Local-gov,32587,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,26252,Some-college,10,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -52,Private,103995,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,409902,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,25,United-States,<=50K -26,Private,51961,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K -22,Private,186452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,Private,138152,12th,8,Never-married,Craft-repair,Other-relative,Other,Male,0,0,48,Guatemala,<=50K -69,?,111238,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,216013,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,86557,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,30,United-States,<=50K -29,Private,119359,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,10,China,>50K -21,Private,285457,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -20,?,150084,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -58,Self-emp-not-inc,266707,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,18,United-States,<=50K -40,Local-gov,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -69,Private,312653,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -23,Private,442478,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -38,Private,102178,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -62,Private,319582,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -45,Self-emp-not-inc,242552,12th,8,Divorced,Craft-repair,Other-relative,Black,Male,0,0,35,United-States,<=50K -37,Private,60313,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -21,?,170038,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,327902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K -26,Private,331861,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,England,<=50K -54,Private,28518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Self-emp-not-inc,282461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,284329,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -63,?,156158,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -48,Private,348144,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,3325,0,53,United-States,<=50K -49,Private,157272,HS-grad,9,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -23,Private,410446,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,161478,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -46,Self-emp-not-inc,103540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,107164,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -56,Private,340171,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -18,Private,176136,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,227465,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,163352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,85,United-States,>50K -36,Self-emp-not-inc,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,107218,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -42,Private,103089,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K -60,Private,276213,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,444089,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,223648,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K -24,State-gov,27939,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,24,?,<=50K -26,Private,34110,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,44,United-States,<=50K -40,Local-gov,321187,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -64,?,178724,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -37,Private,252947,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,1719,32,United-States,<=50K -48,Local-gov,349230,Masters,14,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,37932,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,209415,10th,6,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -37,Local-gov,239161,Some-college,10,Separated,Protective-serv,Own-child,Other,Male,0,0,52,United-States,<=50K -36,Private,225516,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,59469,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -39,Federal-gov,184964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -19,Private,29526,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -52,?,89951,12th,8,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,>50K -48,Private,238567,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,143485,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,199031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,272669,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,South,<=50K -36,Private,355468,10th,6,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,97778,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,221178,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,28,United-States,<=50K -34,Local-gov,174215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -30,Private,151989,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -30,State-gov,119197,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -35,Private,180988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K -43,Self-emp-not-inc,52131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -21,?,247075,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,25,United-States,<=50K -39,Private,114678,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,5455,0,40,United-States,<=50K -26,Private,191573,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Private,315037,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -46,Private,229394,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,257557,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -35,Private,156728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,154076,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -55,Self-emp-not-inc,183810,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -36,Private,182074,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,295520,9th,5,Widowed,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -53,Self-emp-not-inc,137547,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,40,Philippines,>50K -43,Self-emp-inc,83348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,191001,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,179285,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -50,Self-emp-not-inc,124793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -55,?,170994,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -28,State-gov,189346,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,107843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K -38,Self-emp-not-inc,190387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,269028,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,<=50K -43,Self-emp-inc,179228,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -53,Private,167170,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,208881,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -31,Private,259425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,180985,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -50,Private,46155,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -35,Private,82622,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,165519,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,162632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -24,State-gov,231473,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,97261,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,128831,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,107910,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,116230,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,35245,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,204415,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -27,Private,87239,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,200089,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,>50K -31,Private,302679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,90872,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Federal-gov,143123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,442359,HS-grad,9,Never-married,Sales,Own-child,White,Female,8614,0,15,United-States,>50K -23,Federal-gov,482096,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -56,Self-emp-not-inc,206149,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,58,United-States,<=50K -19,Private,301606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -23,Private,119051,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -26,Private,102476,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,379118,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,9,United-States,<=50K -23,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Private,113732,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,51264,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,State-gov,272944,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,266015,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,44,United-States,<=50K -21,?,205940,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,212041,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,373469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,106183,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -23,Private,164231,11th,7,Separated,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -32,State-gov,169973,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -47,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Private,156580,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K -43,Private,186396,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K -52,Private,89054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,140583,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,63861,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K -50,Private,159650,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -44,?,276096,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K -34,Local-gov,108247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,264593,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,173858,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,2597,0,40,?,<=50K -43,Private,143583,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,174575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,155737,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,8614,0,40,United-States,>50K -66,?,188842,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -34,Private,209768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -67,Without-pay,137192,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,12,Philippines,<=50K -22,Private,119474,HS-grad,9,Never-married,Sales,Own-child,White,Female,1055,0,25,United-States,<=50K -39,Private,158592,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,179444,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K -34,?,166545,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7688,0,6,United-States,>50K -64,Self-emp-not-inc,167149,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -18,?,156608,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,335522,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -22,Private,252355,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K -38,Private,149347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,201865,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,?,294691,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,70466,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,292710,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,117363,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Self-emp-not-inc,182677,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -49,Private,195554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -46,Federal-gov,31141,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,149704,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,?,29115,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -48,Private,95388,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,180795,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,255885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -21,Self-emp-not-inc,318987,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -65,?,101427,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,2653,0,30,United-States,<=50K -37,Private,287031,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,75,United-States,>50K -59,Private,175689,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,14,Cuba,>50K -61,Private,139391,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,16,United-States,<=50K -66,Private,80621,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -56,Private,169560,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,165001,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,176356,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -65,Private,195568,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,Private,263015,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,206354,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -27,Self-emp-not-inc,420054,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,9562,0,50,United-States,>50K -47,Private,379118,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -24,Private,82804,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,284061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Private,306785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,244721,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,149898,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,115854,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K -45,Private,45857,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,<=50K -18,Private,138917,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K -51,Private,172046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -41,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,70,United-States,<=50K -52,Self-emp-inc,146574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,255635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -38,Private,178322,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -20,Private,190457,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,182246,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,47818,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -34,Private,196385,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,45,Mexico,<=50K -48,Private,162096,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,45,China,<=50K -38,Private,192939,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,194864,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K -38,Private,32916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,173586,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Local-gov,289886,11th,7,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -29,State-gov,214881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Honduras,>50K -44,Local-gov,65145,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -45,Private,154430,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,50,United-States,>50K -54,Private,169719,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -22,Private,129508,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K -60,Federal-gov,54701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,119098,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,172493,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -33,Private,202046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K -26,Private,33610,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,177211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,304906,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Federal-gov,51664,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,40,United-States,<=50K -19,Private,167859,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,309582,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7298,0,50,United-States,>50K -63,Self-emp-not-inc,289741,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,41310,0,50,United-States,<=50K -49,Private,204057,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,378460,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -51,Self-emp-not-inc,175897,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -26,Self-emp-not-inc,93806,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,155818,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,163322,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,?,<=50K -29,Private,173611,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,200089,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,England,<=50K -37,Private,242713,12th,8,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,156926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,103948,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,185127,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,54,United-States,<=50K -44,Private,167005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -24,Private,125010,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -48,Private,156926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,250423,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,316101,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,400535,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,195554,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -32,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,40,United-States,<=50K -74,Private,154347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K -54,Self-emp-not-inc,42924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,171871,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K -56,Private,188856,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,55,United-States,>50K -21,Private,206891,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K -60,Private,216690,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -55,Private,323887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -53,Private,127749,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,457070,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -22,Private,99199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -24,Private,190591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,209934,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -90,Private,250832,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,40,United-States,<=50K -35,Private,190297,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,65,United-States,>50K -20,Private,193130,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -57,Federal-gov,170066,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,185860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,223881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,?,>50K -29,Private,312845,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -19,?,185619,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -60,Private,142494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,265083,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,Mexico,<=50K -31,Private,244147,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -36,Private,22494,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,94492,11th,7,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K -37,Self-emp-not-inc,107410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,206506,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,10,El-Salvador,<=50K -45,Local-gov,272792,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,50,United-States,>50K -28,State-gov,297735,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K -27,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,United-States,>50K -40,Local-gov,183096,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Yugoslavia,>50K -37,Private,175759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -38,State-gov,143774,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,?,112683,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -35,Private,193094,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,104329,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -67,?,159542,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,194247,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -35,Private,179481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Private,433592,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,>50K -32,Private,132601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,214858,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,228075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,151267,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,102828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K -38,Self-emp-not-inc,175732,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K -35,Local-gov,107233,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K -24,Private,33088,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,153894,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K -40,Local-gov,95639,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,202450,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,295591,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -46,State-gov,87018,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,State-gov,144928,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,State-gov,174171,Some-college,10,Separated,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K -29,Private,251526,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,<=50K -34,Private,231238,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -56,Private,318450,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K -20,Private,59948,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,18,United-States,<=50K -37,Private,112158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,99,United-States,>50K -49,Private,225124,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,186934,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,>50K -23,State-gov,156423,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,85384,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -37,Private,134367,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,>50K -28,Private,109282,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,199698,9th,5,Never-married,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K -34,Private,122616,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K -55,Local-gov,212448,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,182926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -40,Private,183404,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -53,Self-emp-inc,246562,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K -57,Private,73411,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,149823,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,198050,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -67,Self-emp-not-inc,107138,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,48935,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,30,United-States,<=50K -48,Private,168462,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,377405,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -38,Private,179671,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,238311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,36,United-States,>50K -49,Private,102737,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,202046,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -20,?,37932,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -49,Private,104542,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,214702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -19,Private,278915,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,52,United-States,<=50K -50,Private,178530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -28,Private,204734,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -51,?,163998,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,20,United-States,>50K -57,Self-emp-not-inc,105824,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -63,Private,201631,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,199590,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K -27,Private,130067,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K -32,State-gov,159537,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,456236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,?,166425,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,24,United-States,<=50K -44,Private,181762,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,55,United-States,>50K -58,Self-emp-inc,204021,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -38,Private,87556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -37,Local-gov,118909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -19,Private,39026,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,250988,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,270968,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -32,Private,222548,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Local-gov,186035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -34,Private,52537,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,30,United-States,<=50K -52,Private,91048,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,35,United-States,<=50K -42,Private,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,138626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,201319,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,83196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,225065,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K -36,Private,88967,11th,7,Never-married,Transport-moving,Unmarried,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -23,Private,189017,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -31,Private,302626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,97676,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,194897,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,6849,0,40,United-States,<=50K -57,Private,186361,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -66,Private,29431,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,288592,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,291979,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,174938,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -58,Private,111394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,54164,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,14084,0,60,United-States,>50K -44,Private,216907,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -61,Private,316359,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,165064,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,342834,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,296478,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,176069,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -59,Private,208395,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,251854,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -40,Private,220589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Local-gov,203525,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -38,Federal-gov,122240,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -20,Private,285295,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K -49,State-gov,209482,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,226215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,129629,Assoc-voc,11,Never-married,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K -42,Private,344572,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -36,Local-gov,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,40021,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,70,United-States,<=50K -30,Private,216811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -47,Private,158286,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,33435,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,43587,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Self-emp-not-inc,183081,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -32,Private,126132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -24,Local-gov,69640,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,33234,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,65624,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -48,Private,307440,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,45,Philippines,>50K -25,Private,111675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -32,Private,204374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -20,Private,166527,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,United-States,<=50K -53,Private,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Private,84790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,47429,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,Private,182323,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -52,Self-emp-not-inc,182187,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Haiti,>50K -50,Private,205803,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -33,Private,283921,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,50459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,40,United-States,<=50K -57,State-gov,170108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -39,Private,358837,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,34722,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,163212,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K -43,Self-emp-not-inc,207578,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -25,Private,164488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -25,Local-gov,109526,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -46,Private,24728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,48,United-States,<=50K -66,Self-emp-not-inc,298045,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -45,Private,161954,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K -41,Private,34278,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,176471,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -48,Private,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -37,Private,176159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,90273,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,>50K -28,Private,81540,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,108496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2907,0,40,United-States,<=50K -26,Private,82488,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -64,Private,134912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -38,Federal-gov,205852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,>50K -39,Self-emp-inc,186934,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,229051,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -35,Private,189251,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Iran,<=50K -35,Self-emp-not-inc,185621,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,213644,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,225211,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -27,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -32,Private,309903,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -31,Self-emp-inc,455995,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -40,Local-gov,55363,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,150057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -36,Private,374983,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,169583,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -43,Local-gov,143046,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -57,Self-emp-not-inc,181031,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,145242,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,20,United-States,>50K -31,Private,145935,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -17,Local-gov,182070,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -76,Self-emp-not-inc,236878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,121319,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Poland,<=50K -18,Private,257421,12th,8,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -39,Private,160916,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K -54,Self-emp-not-inc,278230,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,10520,0,30,United-States,>50K -24,Private,143246,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,2597,0,45,United-States,<=50K -26,Private,128553,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,183111,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,192017,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,113708,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,59,United-States,>50K -24,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -50,Without-pay,123004,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,1887,40,United-States,>50K -45,Private,142909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,130364,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,330715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -34,Private,118710,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -28,Private,411587,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Honduras,<=50K -30,Private,108386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,239439,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -46,Local-gov,213668,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,117872,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -51,Private,68882,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,35,Portugal,<=50K -39,Federal-gov,72338,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -34,Private,117529,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K -52,Private,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -17,Local-gov,191910,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -19,?,455665,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K -62,Self-emp-not-inc,226546,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -66,Private,154164,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K -65,Private,264188,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -61,Private,43554,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2339,40,United-States,<=50K -30,Private,139012,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,2463,0,40,Vietnam,<=50K -42,Local-gov,70655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -30,Private,270577,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,191777,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,175935,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,153155,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -42,Private,175943,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,35,United-States,>50K -27,Self-emp-not-inc,208577,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,State-gov,130557,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,108253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,40,United-States,<=50K -29,?,256211,1st-4th,2,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -37,Private,184456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,116632,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -36,Private,353263,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -37,Private,176357,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,33394,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -22,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,108945,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -19,Private,177945,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,41210,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,Private,76860,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -32,Private,87643,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,200194,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,177526,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,218630,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,?,218415,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -64,Private,210082,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,167651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Private,186272,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,50,United-States,<=50K -46,Private,98524,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Canada,>50K -49,Self-emp-inc,30751,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -23,?,280134,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,84399,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,103218,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,155213,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,121488,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,334357,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,286750,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K -55,Private,100054,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,126978,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -53,Private,208302,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K -42,Private,149546,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K -59,Private,42959,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K -37,Local-gov,397877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -17,Private,240143,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -57,Private,233382,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Cuba,<=50K -62,Private,183735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,159549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,222450,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,73471,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1573,45,United-States,<=50K -64,Private,98586,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -26,Private,206307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,?,426589,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -56,State-gov,153451,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -61,Federal-gov,229062,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -50,Private,400630,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -59,Private,171242,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,147098,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,187592,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Private,61523,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -44,Private,209093,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,144259,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K -23,Private,278391,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,246156,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,24,Honduras,<=50K -41,Federal-gov,510072,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,181382,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -23,Private,43535,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -44,Local-gov,135056,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,16,?,<=50K -35,Private,148015,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,146161,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Local-gov,120451,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,205407,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,150125,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,204629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -81,Private,55314,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,4,United-States,>50K -49,Private,291783,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -66,Local-gov,75134,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -35,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -28,Private,142264,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K -29,Private,370509,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K -23,Private,107801,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1617,25,United-States,<=50K -19,Private,146189,11th,7,Never-married,Sales,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,United-States,<=50K -65,Private,258561,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,137063,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -63,Self-emp-not-inc,141962,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -18,Private,394954,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,64102,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -63,State-gov,216871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,40,United-States,<=50K -24,Private,187229,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Private,488541,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -21,Private,135267,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -17,Private,354201,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,133373,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,188003,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -20,Private,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,213321,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,167787,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,339142,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,268661,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,?,134886,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K -76,Self-emp-not-inc,174309,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -29,Self-emp-not-inc,389857,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -50,Private,104501,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,376393,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -37,Private,161226,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K -42,Private,30424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Local-gov,32185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,194733,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -67,Private,165082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,Private,30237,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K -36,Private,305935,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -28,Private,100829,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -47,?,104489,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -61,Self-emp-inc,227232,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -71,Private,138145,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,188563,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K -38,Federal-gov,115433,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,33,United-States,>50K -41,Private,219155,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Italy,<=50K -31,Private,451744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,243283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,224943,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,65,United-States,<=50K -33,Private,249409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K -57,Private,250040,7th-8th,4,Divorced,Prof-specialty,Other-relative,White,Female,0,0,20,?,<=50K -37,Private,486194,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -31,Private,219619,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,48,United-States,<=50K -48,Private,30289,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -42,Private,220776,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K -23,Private,406641,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,18,United-States,<=50K -27,Private,167031,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Female,0,0,33,United-States,<=50K -30,Private,324120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -48,Local-gov,328610,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,Private,203240,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,Private,157229,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K -31,Private,120461,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,116626,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,18,United-States,<=50K -17,?,172145,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -39,Private,56269,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -50,State-gov,288353,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -44,Private,107218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -55,Private,334308,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -51,State-gov,187686,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -39,Private,248694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,?,140242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -55,Private,276229,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,181557,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -57,Private,61761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K -61,Private,226297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,62463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K -39,State-gov,195148,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,175412,9th,5,Divorced,Craft-repair,Unmarried,White,Male,114,0,55,United-States,<=50K -43,Private,111949,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -55,Private,265579,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K -30,Private,202051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -21,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -44,Private,419134,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Federal-gov,113688,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,63434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Local-gov,117227,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -48,Private,207946,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K -62,Private,81116,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1974,40,United-States,<=50K -34,Private,71865,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Portugal,<=50K -23,Private,224115,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Private,160920,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,216181,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,229729,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,49595,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -51,Self-emp-not-inc,421132,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,191196,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,170169,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,116878,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K -40,Local-gov,26671,Bachelors,13,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -66,?,186061,Some-college,10,Widowed,?,Unmarried,Black,Female,0,4356,40,United-States,<=50K -18,?,326640,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -64,Private,344014,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,1741,40,United-States,<=50K -35,Private,202263,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -48,Private,121424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Private,116910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Self-emp-not-inc,281678,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -60,Private,125832,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,Canada,<=50K -28,Private,247445,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,131230,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,207578,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -43,Self-emp-not-inc,187778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,303942,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,170108,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Local-gov,352056,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,218955,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -41,Self-emp-not-inc,157686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,363418,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,>50K -37,Federal-gov,334314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -83,Self-emp-inc,153183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,55,United-States,>50K -36,Private,178487,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -31,Local-gov,50442,Some-college,10,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K -35,Private,177482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,29904,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Self-emp-not-inc,72143,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,118993,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Female,0,0,40,?,<=50K -26,State-gov,197156,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,37778,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,185647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -74,Private,148867,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6418,0,24,United-States,>50K -25,Private,361307,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -21,?,355686,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -81,Private,114670,9th,5,Widowed,Priv-house-serv,Not-in-family,Black,Female,2062,0,5,United-States,<=50K -30,Private,103642,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,176341,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K -49,Local-gov,349633,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -66,Private,97847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -35,Private,196899,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Haiti,<=50K -25,Private,207621,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,406734,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -62,Private,167652,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,175120,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,210311,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,162988,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -27,Private,103634,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -37,Private,217838,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -43,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -28,Self-emp-not-inc,160786,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,101375,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,201495,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,201908,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -80,Private,252466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -59,Private,219426,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,849067,12th,8,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,174020,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,38,United-States,<=50K -27,Local-gov,273929,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,94057,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -43,Private,145784,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -36,Private,171676,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,40,United-States,<=50K -40,Private,244835,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -28,Private,179498,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,135289,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,143816,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K -59,Private,329059,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,195573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,166988,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -50,Private,22418,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Private,113522,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,64520,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,187046,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,204322,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -64,Self-emp-inc,182158,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -51,Private,35576,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -58,Self-emp-not-inc,274917,Masters,14,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -64,?,205479,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -43,State-gov,167298,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,213140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -52,Local-gov,137753,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,20,United-States,<=50K -41,Private,207685,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,<=50K -40,Private,154076,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,158218,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K -35,Private,65876,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -65,Private,461715,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,?,<=50K -21,?,405684,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,35,Mexico,<=50K -50,Private,126592,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Private,144579,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,271466,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -18,Private,54440,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,464103,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -73,Local-gov,161027,5th-6th,3,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K -51,Private,191965,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -33,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,161599,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,168515,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -59,Self-emp-not-inc,49996,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -25,Private,129806,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -27,Private,91189,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -90,Private,313749,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Private,147265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,292569,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,65,United-States,>50K -25,Private,195118,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K -33,Private,79303,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -52,Local-gov,240638,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,302606,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,226027,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -56,Self-emp-not-inc,346635,Masters,14,Divorced,Sales,Unmarried,White,Female,0,2339,60,United-States,<=50K -47,Federal-gov,169549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,?,>50K -52,Private,200853,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,60,United-States,<=50K -33,?,212491,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,168294,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -76,?,239900,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -45,?,187439,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -55,Private,213894,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,279543,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Cuba,>50K -36,Self-emp-not-inc,129150,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -19,Private,197861,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -34,Private,117779,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,2977,0,65,United-States,<=50K -34,Private,177216,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,233740,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -22,Private,167787,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,194140,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,50,United-States,<=50K -46,Self-emp-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K -18,?,118847,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K -30,Self-emp-not-inc,227429,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Yugoslavia,<=50K -28,Private,122913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,196675,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,70,United-States,<=50K -33,Private,260782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K -19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -66,Local-gov,188220,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,>50K -28,Private,265074,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,556902,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,?,181118,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -36,Private,172538,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -48,Private,247053,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,411950,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,163392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K -38,Private,175268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,239409,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -84,Self-emp-not-inc,155057,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -43,Private,398959,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,108247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -42,Private,149210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -31,Private,206609,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,351711,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,101562,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,48894,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K -24,Private,250647,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -27,Federal-gov,508336,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K -20,Private,112668,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,117963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,226267,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -51,?,175985,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,135315,9th,5,Never-married,Sales,Own-child,Other,Female,0,0,32,United-States,<=50K -40,Private,199191,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,England,>50K -31,Private,121308,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,259109,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -31,Self-emp-not-inc,247088,HS-grad,9,Separated,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K -38,Private,65291,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,<=50K -23,Private,292023,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -64,Private,133144,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -34,Local-gov,202729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -59,State-gov,115439,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -26,Private,287797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,Local-gov,286101,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,37,United-States,<=50K -29,Private,224215,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,48029,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -63,Private,236338,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -29,Private,113464,HS-grad,9,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K -30,Private,226296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,73333,Prof-school,15,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,32,United-States,<=50K -19,Private,304299,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,129232,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,152710,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,59380,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,175130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -28,State-gov,319027,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,148644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,State-gov,258589,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -44,Private,184105,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K -42,Private,344624,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K -27,Private,115945,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -37,Private,169426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -49,Federal-gov,420282,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,?,28132,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -41,?,217921,9th,5,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -43,Private,91959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Private,271282,11th,7,Divorced,Protective-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Self-emp-not-inc,52870,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,?,194809,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,50,United-States,<=50K -49,?,188141,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,60,United-States,<=50K -50,Private,301583,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,?,31588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2635,0,40,United-States,<=50K -44,Private,94706,Bachelors,13,Married-spouse-absent,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -25,Private,220098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -33,Federal-gov,373043,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,34,Germany,<=50K -26,Private,337940,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K -41,Local-gov,213154,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -50,Private,178529,11th,7,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,39388,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -38,Federal-gov,214542,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,96975,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -34,State-gov,252529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -57,Local-gov,118481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -32,Private,153588,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,30824,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,16,United-States,<=50K -39,Private,181553,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,261504,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,330724,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,?,<=50K -36,Private,104858,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K -22,Private,272591,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,Private,158846,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -25,?,126797,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,183580,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K -45,Private,44791,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,159168,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,3004,40,United-States,>50K -25,Private,122175,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -21,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,343476,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Japan,>50K -52,Private,226084,HS-grad,9,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,239303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K -38,Private,33887,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,193380,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,112459,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,118710,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -45,Private,239864,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,181820,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -25,Private,131178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,23,United-States,<=50K -46,Private,187581,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -65,Private,151287,Masters,14,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,20,United-States,<=50K -20,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -50,Private,235567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K -23,Private,372898,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,131776,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,Germany,<=50K -42,Private,13769,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Private,134184,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,2597,0,36,United-States,<=50K -65,Private,350498,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,10605,0,20,United-States,>50K -33,Local-gov,175509,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,126675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,118081,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,3103,0,42,United-States,<=50K -41,Private,160785,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -63,Private,156127,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,74305,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,140576,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,368256,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Self-emp-not-inc,269509,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -55,Private,202559,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K -22,Private,306967,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,301031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -51,Local-gov,88120,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,178251,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -30,Private,48520,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K -40,Self-emp-inc,190650,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,45,South,>50K -26,?,157008,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,272780,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,Mexico,>50K -39,Private,117683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,51240,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,183845,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,El-Salvador,<=50K -32,Private,174201,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,>50K -39,Self-emp-inc,51089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -64,?,108082,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,293485,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,40,United-States,>50K -39,Private,198097,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,?,205940,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,232840,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -25,Private,169100,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -72,Self-emp-inc,149689,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K -71,Private,244688,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,6514,0,40,United-States,>50K -64,Private,321166,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,5,United-States,<=50K -52,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,Greece,>50K -24,Private,257621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,190072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Iran,>50K -66,Local-gov,30740,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -60,Self-emp-not-inc,231770,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K -66,?,106791,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,218302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -20,Federal-gov,347935,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -28,Private,252013,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,Japan,<=50K -34,Private,349169,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,195636,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -27,Private,215014,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,363296,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,72,United-States,<=50K -53,Private,157059,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,250733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -36,Private,373952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,377061,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Private,151856,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,109209,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,238267,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -48,State-gov,55863,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,46,United-States,>50K -38,Private,191479,Some-college,10,Divorced,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,39764,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,303781,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -44,Private,227399,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,260797,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,23,United-States,<=50K -35,Local-gov,297322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -55,Private,380357,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,>50K -70,Private,131060,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -34,Private,259818,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,202182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,?,296613,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -30,State-gov,252818,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,354236,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -59,?,191665,Some-college,10,Widowed,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K -52,Private,253784,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -37,Private,237995,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K -38,Private,231037,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -49,Local-gov,149210,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K -31,Self-emp-inc,344275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -42,Private,190179,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -74,Federal-gov,39890,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Female,0,0,18,United-States,<=50K -54,Local-gov,163557,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,141323,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,290640,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-not-inc,175674,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -67,Private,176835,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,161950,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -57,Private,161964,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,147110,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,>50K -41,Self-emp-inc,153078,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,70,South,>50K -58,Private,162970,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -44,Self-emp-not-inc,33121,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -52,Private,149908,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,44,United-States,>50K -61,Private,68268,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -18,?,128538,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K -58,Private,187487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,580591,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,28,Mexico,<=50K -37,Private,120074,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,125461,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -53,?,199665,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -35,Private,51700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,120243,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -58,Private,186121,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,156807,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K -19,Private,86860,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,15,United-States,<=50K -25,Private,443855,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -42,State-gov,222884,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,164488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,50,United-States,>50K -24,Private,83783,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,354923,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,231797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -37,Private,143582,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Female,4101,0,35,United-States,<=50K -22,Private,170800,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -65,Self-emp-not-inc,72776,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,2964,0,40,United-States,<=50K -59,Self-emp-not-inc,64102,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -20,Private,227411,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -54,Private,387540,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,268482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,181652,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,323790,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K -32,Private,42596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -33,Private,178107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -24,Federal-gov,215115,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K -39,Without-pay,334291,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Local-gov,152171,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,10,United-States,<=50K -72,Self-emp-not-inc,336423,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,293091,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -59,Private,200700,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,>50K -20,Private,172047,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -47,Private,102318,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,188696,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,47086,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,138285,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Iran,<=50K -41,Private,187322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -52,Private,165681,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,247425,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -63,Private,134960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Scotland,<=50K -25,Private,25386,Assoc-voc,11,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -41,Private,215479,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,43,United-States,<=50K -44,Local-gov,141186,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,35,United-States,>50K -23,Private,215395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Local-gov,191777,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,196338,9th,5,Separated,Priv-house-serv,Unmarried,White,Female,0,0,16,Mexico,<=50K -22,?,140001,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,185405,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -39,Private,324420,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -32,Private,96480,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,73434,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,>50K -34,Private,87943,7th-8th,4,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,?,<=50K -21,Private,43535,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Local-gov,321770,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,35,United-States,<=50K -23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -70,Private,227515,10th,6,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,Greece,<=50K -42,Self-emp-not-inc,217597,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,50,?,<=50K -31,Self-emp-not-inc,189843,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Self-emp-inc,156815,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -17,?,64785,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -52,Private,144361,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -32,Private,202952,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,163628,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,437994,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -45,Private,148549,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,56,United-States,>50K -50,Private,125417,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -49,Private,207677,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -43,Private,158177,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -40,Local-gov,138634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,33309,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K -49,Private,224393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -38,Private,227945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -46,Federal-gov,33794,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -66,Local-gov,154171,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K -27,Private,133937,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,180667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,199512,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,44159,12th,8,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K -40,Self-emp-not-inc,170866,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -42,Private,303388,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -40,Self-emp-not-inc,76487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Local-gov,38268,HS-grad,9,Separated,Other-service,Unmarried,White,Male,0,0,40,United-States,>50K -22,Private,130356,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -25,Private,176864,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,149640,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,1506,0,40,Honduras,<=50K -36,Private,428251,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,83930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,186950,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,24504,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Self-emp-not-inc,279802,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,3,United-States,<=50K -37,Private,168475,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,370990,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,159938,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,24,Italy,<=50K -19,?,255117,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Local-gov,106297,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,42,United-States,<=50K -54,Self-emp-not-inc,58898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,48,United-States,<=50K -44,Self-emp-not-inc,112507,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -74,?,29887,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,United-States,<=50K -33,Private,137088,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Ecuador,<=50K -29,Private,79481,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,376755,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -44,Private,32185,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,70,United-States,<=50K -23,Private,41721,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -43,Private,152617,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,State-gov,99199,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,10,United-States,<=50K -45,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -50,Local-gov,153064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -51,Private,234057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -72,Private,38360,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K -41,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -61,Private,184167,12th,8,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,<=50K -35,Private,99146,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,375574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Mexico,>50K -33,Self-emp-not-inc,202729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,217363,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,119891,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K -50,Private,279129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -20,Private,230574,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -30,Private,54334,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,118657,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,444822,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K -22,Private,203240,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,368825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -34,Private,193036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -40,Private,101593,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,256362,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K -35,Private,175232,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,50178,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,383670,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -58,Private,204678,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -30,Private,316606,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,215503,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -41,Private,806552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -53,Local-gov,35305,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,57,United-States,<=50K -25,Private,97952,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -25,Private,264136,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,242406,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K -29,Private,255817,5th-6th,3,Never-married,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -64,Self-emp-inc,119182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K -50,Self-emp-not-inc,158352,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,153643,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,70,United-States,<=50K -65,?,266081,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,136985,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,58522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,326005,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -67,?,74335,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,Germany,<=50K -40,Private,27766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,165315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,43,United-States,>50K -33,Private,111567,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,State-gov,227931,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -19,Private,258633,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -56,Private,202220,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K -44,Private,175943,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -34,Local-gov,104509,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,202286,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,27678,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -22,Private,110684,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,282313,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,1602,40,United-States,<=50K -19,Private,217039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K -35,Private,151835,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -21,Private,292264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,61178,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,138441,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,<=50K -49,Private,165937,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,249948,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -21,?,208117,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,69132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K -32,Private,117779,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K -38,Private,309122,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,124187,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,175406,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -30,Private,36069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,222011,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,283731,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,163559,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,?,<=50K -47,Private,145636,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -77,Private,271000,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -25,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,?,100903,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -30,State-gov,182271,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,446358,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,134787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -55,State-gov,294395,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,6849,0,40,United-States,<=50K -45,State-gov,271962,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,191230,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Yugoslavia,<=50K -43,Private,146770,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -77,?,88545,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Self-emp-not-inc,402812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K -19,Private,140459,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,United-States,<=50K -28,Private,96219,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -29,Private,182521,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,Private,241350,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,169182,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,49,Dominican-Republic,<=50K -56,Private,158752,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -23,Private,262744,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,158688,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,93997,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,355477,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -44,Private,112482,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -19,Private,199441,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,264314,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Columbia,<=50K -58,Self-emp-not-inc,35723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -65,Private,115890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,253814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -18,?,266287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,315065,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K -41,Private,192107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -73,Local-gov,114561,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,25,Philippines,<=50K -40,Federal-gov,77332,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,275364,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,Germany,>50K -41,Private,291965,Some-college,10,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -28,Self-emp-not-inc,315417,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,2176,0,40,United-States,<=50K -52,Private,245127,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -27,Private,131712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,50,United-States,>50K -50,Private,132465,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -23,State-gov,112137,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,Canada,<=50K -32,Private,171637,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,25837,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -34,Private,170769,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -35,Private,135162,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,216411,1st-4th,2,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,Dominican-Republic,<=50K -24,Private,43535,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -42,Self-emp-not-inc,64632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,211129,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -46,Private,360096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -58,Private,117299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,Private,415578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,173212,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,2354,0,45,United-States,<=50K -39,State-gov,372130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,5013,0,56,United-States,<=50K -41,Self-emp-inc,177905,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K -44,Private,68729,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K -48,Private,158924,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -67,Self-emp-not-inc,141085,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Private,88368,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,194496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -73,?,281907,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -29,Private,359155,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K -25,Private,217006,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,227626,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,367655,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,168195,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K -32,Private,244268,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,48,United-States,<=50K -31,?,346736,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,45,United-States,<=50K -33,Private,228931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -59,Self-emp-not-inc,32552,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -55,?,136819,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,51008,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,254613,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Cuba,<=50K -24,Private,124751,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,283116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,1506,0,50,United-States,<=50K -46,Federal-gov,269890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -26,State-gov,106491,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,202156,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,111567,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,589809,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -21,Private,287681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -35,Private,193815,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,293196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -75,Private,316119,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -31,?,251167,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,30,Mexico,<=50K -31,Private,184889,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,United-States,<=50K -76,Private,152839,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -56,Self-emp-inc,208809,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -46,Private,200947,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,Italy,<=50K -39,Private,114844,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K -38,Private,130007,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,86723,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,52,United-States,<=50K -21,Private,37482,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,Federal-gov,224858,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,283715,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,42,United-States,>50K -42,Local-gov,118261,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -23,Private,135138,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -65,Local-gov,103153,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1411,40,United-States,<=50K -44,Private,277533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,275625,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,>50K -25,Private,441210,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,145377,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,187440,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -57,Private,98926,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K -45,Private,61751,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -27,Private,68037,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Local-gov,231166,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,106728,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,37232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,48,United-States,>50K -29,Private,108431,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2415,40,United-States,>50K -31,Private,147654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,170721,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -21,Federal-gov,169003,12th,8,Never-married,Adm-clerical,Own-child,Black,Male,0,0,25,United-States,<=50K -31,Private,38158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,244813,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,127185,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,27856,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,142030,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -51,Private,93193,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,37070,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,267912,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -52,Federal-gov,202452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -35,Self-emp-not-inc,256992,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,Mexico,<=50K -51,Private,155963,9th,5,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,363418,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,169532,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -55,Federal-gov,35723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Local-gov,317185,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -49,Private,207772,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,174714,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,162544,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,30,United-States,<=50K -36,?,216256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3464,0,30,United-States,<=50K -35,Private,44780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K -37,Private,254973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K -40,Self-emp-not-inc,33474,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,65278,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -22,Federal-gov,277700,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,92898,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,43711,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -55,Private,141727,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,3464,0,40,United-States,<=50K -18,Private,102182,12th,8,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,294400,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -46,Self-emp-not-inc,154083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -20,Private,47791,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -21,Private,177504,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -29,?,188675,Some-college,10,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K -43,State-gov,186990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -34,Private,185063,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -32,Private,152940,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,187203,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,96178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -63,Federal-gov,97855,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,215917,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -36,Private,169037,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Federal-gov,223206,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Vietnam,>50K -43,Private,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -49,Private,112761,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,166744,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K -43,Private,223277,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,185019,12th,8,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K -27,Local-gov,124680,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Local-gov,210945,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K -39,Federal-gov,472166,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,49159,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -26,Private,322585,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,124454,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,Local-gov,35211,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,139568,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,133974,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,119722,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,8,United-States,<=50K -47,Local-gov,188537,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -43,Private,96102,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,168514,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,320425,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,388112,1st-4th,2,Never-married,Farming-fishing,Unmarried,White,Male,0,0,77,Mexico,<=50K -60,Private,181953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K -38,Private,255621,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,309990,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,8614,0,60,United-States,>50K -47,Federal-gov,218325,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -37,Private,120590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Private,452640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -67,?,129188,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,5,United-States,>50K -31,Private,47296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,20,United-States,<=50K -28,Self-emp-inc,142443,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,230997,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -47,Federal-gov,655066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Peru,>50K -37,Self-emp-not-inc,168166,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,167735,11th,7,Never-married,Craft-repair,Own-child,White,Male,6849,0,40,United-States,<=50K -22,Private,140001,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -41,Local-gov,135056,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,8614,0,50,United-States,>50K -31,Private,217803,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -30,Private,381030,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -74,Self-emp-not-inc,292915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,12,United-States,>50K -22,Self-emp-not-inc,357612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -48,Self-emp-not-inc,30840,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K -44,Self-emp-not-inc,205033,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -23,Private,215624,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -46,Private,188861,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,147206,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K -63,?,106648,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -30,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,48915,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,353994,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,>50K -54,Private,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,77665,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -39,Private,178815,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -24,?,144898,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,274502,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -41,Local-gov,89172,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -24,Private,119329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,?,34616,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -54,Self-emp-not-inc,139023,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,415755,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,139176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -90,Self-emp-not-inc,155981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10566,0,50,United-States,<=50K -52,?,271749,12th,8,Never-married,?,Other-relative,Black,Male,594,0,40,United-States,<=50K -65,Self-emp-not-inc,28367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,209891,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K -64,Private,265786,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,347166,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,121596,Some-college,10,Never-married,Other-service,Own-child,White,Female,2907,0,35,United-States,<=50K -28,Self-emp-inc,31717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -70,Private,304570,Bachelors,13,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,32,Philippines,<=50K -38,Private,332154,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K -24,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,44419,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,288983,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,214738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -19,Self-emp-not-inc,36012,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -37,Self-emp-not-inc,162834,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -42,Self-emp-not-inc,344624,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,>50K -40,Private,77975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,262601,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K -51,Private,179479,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,3325,0,40,Yugoslavia,<=50K -22,Private,152878,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,197288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -29,Private,118230,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -31,Private,206512,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,174921,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,State-gov,180881,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,176101,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,170230,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K -37,Private,224566,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,36882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,195576,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,<=50K -51,State-gov,454063,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -48,Private,155372,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K -31,Private,103860,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,177675,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,144064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,62,United-States,<=50K -17,Private,321880,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K -51,Private,541755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,State-gov,195922,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,150917,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -34,Private,113211,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -19,Private,213024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,38232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K diff --git a/comparison_algs_src/postprocessing/example/TrainFold0 b/comparison_algs_src/postprocessing/example/TrainFold0 deleted file mode 100644 index 841d76d..0000000 --- a/comparison_algs_src/postprocessing/example/TrainFold0 +++ /dev/null @@ -1,43977 +0,0 @@ -@relation adult - -@attribute age real -@attribute workclass {Private,Self-emp-not-inc,Self-emp-inc,Federal-gov,Local-gov,State-gov,Without-pay,Never-worked} -@attribute fnlwgt real -@attribute education {Bachelors,Some-college,11th,HS-grad,Prof-school,Assoc-acdm,Assoc-voc,9th,7th-8th,12th,Masters,1st-4th,10th,Doctorate,5th-6th,Preschool} -@attribute education-num real -@attribute marital-status {Married-civ-spouse,Divorced,Never-married,Separated,Widowed,Married-spouse-absent,Married-AF-spouse} -@attribute occupation {Tech-support,Craft-repair,Other-service,Sales,Exec-managerial,Prof-specialty,Handlers-cleaners,Machine-op-inspct,Adm-clerical,Farming-fishing,Transport-moving,Priv-house-serv,Protective-serv,Armed-Forces} -@attribute relationship {Wife,Own-child,Husband,Not-in-family,Other-relative,Unmarried} -@attribute race {White,Asian-Pac-Islander,Amer-Indian-Eskimo,Other,Black} -@attribute sex {Female,Male} -@attribute capital-gain real -@attribute capital-loss real -@attribute hours-per-week real -@attribute native-country {United-States,Cambodia,England,Puerto-Rico,Canada,Germany,Outlying-US(Guam-USVI-etc),India,Japan,Greece,South,China,Cuba,Iran,Honduras,Philippines,Italy,Poland,Jamaica,Vietnam,Mexico,Portugal,Ireland,France,Dominican-Republic,Laos,Ecuador,Taiwan,Haiti,Columbia,Hungary,Guatemala,Nicaragua,Scotland,Thailand,Yugoslavia,El-Salvador,Trinadad&Tobago,Peru,Hong,Holand-Netherlands} -@attribute class {>50K,<=50K} - -@data -26,Local-gov,167261,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,206861,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,239755,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,638116,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K -22,Private,103277,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,127875,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -39,Local-gov,134367,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -70,Self-emp-inc,188260,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -59,Private,174040,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -49,Private,196571,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -35,Private,176123,10th,6,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -45,Private,421412,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -61,?,394534,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,6,United-States,<=50K -23,Private,250918,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -47,Private,222529,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -27,Private,292472,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,1876,45,Cambodia,<=50K -49,Federal-gov,128990,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,192835,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -68,Federal-gov,232151,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,2346,0,40,United-States,<=50K -47,Self-emp-not-inc,102388,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -28,Federal-gov,526528,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,3887,0,40,United-States,<=50K -20,?,289116,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -37,Self-emp-not-inc,107737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,131899,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,191803,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,235336,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -39,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -30,Private,761800,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,108929,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,108699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -40,Private,184105,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -31,Private,143851,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -41,Private,42563,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K -23,Private,51985,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,38,United-States,<=50K -41,Private,246258,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,68469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,252986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,201410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,207685,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,136862,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,40,Guatemala,<=50K -38,Private,31964,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,183610,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,>50K -22,Private,81145,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -17,Private,186067,10th,6,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K -19,Private,279968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -28,State-gov,107218,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -51,State-gov,200450,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -28,?,190303,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Private,238342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,255575,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -38,Private,108907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,?,<=50K -60,Self-emp-inc,180512,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -25,Private,76978,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -29,State-gov,187392,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,100960,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -62,Federal-gov,162876,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,311631,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -49,Private,169818,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K -40,Private,321856,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K -18,Private,192254,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -19,?,229431,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -71,?,78786,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,2149,24,United-States,<=50K -40,Private,197344,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -75,Self-emp-not-inc,242108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2346,0,15,United-States,<=50K -48,Private,38819,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K -48,Self-emp-inc,214994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,?,144194,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -47,Federal-gov,192894,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K -57,Self-emp-inc,125000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -26,Private,276309,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,20,United-States,<=50K -42,Private,221947,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,262885,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -23,Private,205653,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -45,Local-gov,211666,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -34,Federal-gov,400943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -25,Private,419658,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -30,Private,168443,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -64,Private,165020,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -44,Federal-gov,320451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Philippines,>50K -50,Local-gov,163921,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,232308,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,305714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,70,United-States,<=50K -54,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Private,137522,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -51,Private,150999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Federal-gov,243872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,191161,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,109872,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -48,Local-gov,246392,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,130813,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -27,State-gov,431637,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -48,Private,204990,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,33,Jamaica,<=50K -40,Private,247469,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -24,Private,454941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,194901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -49,Local-gov,170846,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,192053,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,403865,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -34,Private,221396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,119721,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,198068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -70,Self-emp-not-inc,380498,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -69,?,121136,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K -39,Local-gov,170263,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,>50K -24,Private,283757,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,39,United-States,<=50K -34,Private,188798,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,290528,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,196828,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,>50K -44,Private,172600,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,10520,0,50,United-States,>50K -42,Private,162003,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,>50K -20,Private,34310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,211683,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -65,?,486436,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K -48,Private,149210,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K -58,Private,225623,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -41,Private,406603,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,6,Iran,<=50K -34,Self-emp-not-inc,312197,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,Mexico,>50K -64,Local-gov,202984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -23,Private,268145,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,360224,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,32837,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,<=50K -64,?,159938,HS-grad,9,Divorced,?,Not-in-family,White,Male,8614,0,40,United-States,>50K -51,Self-emp-not-inc,204322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -65,?,149049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,362654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,370274,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,60358,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,116927,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -42,Private,36271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,340543,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,355978,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -37,Private,117381,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,51136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Private,250782,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -59,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,34,United-States,<=50K -31,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Self-emp-not-inc,173792,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,196280,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -31,Self-emp-not-inc,389765,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -67,?,36135,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -54,State-gov,55861,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,39,United-States,<=50K -33,Private,164190,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -30,Self-emp-not-inc,167990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K -59,Private,172667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,221167,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,82242,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,45,Germany,<=50K -31,Private,288419,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,247119,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K -20,Private,194630,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,148069,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,139989,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,334456,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,32954,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,133985,10th,6,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,29433,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,<=50K -63,Private,294009,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -25,Private,350977,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,254230,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -32,Private,236396,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,36397,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Local-gov,190964,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,230592,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,240175,11th,7,Separated,Other-service,Unmarried,Black,Male,0,0,22,United-States,<=50K -45,Private,72393,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -51,Federal-gov,20795,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,131712,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,329174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,?,233371,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K -25,State-gov,157028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,146378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,79190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -49,Self-emp-inc,109705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K -33,Private,229716,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -35,Private,317153,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,364862,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -52,Private,204584,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K -57,Private,31532,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,330664,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -30,Private,77143,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,25,United-States,<=50K -48,Private,175468,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K -28,Private,119793,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K -41,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,200863,Some-college,10,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,153288,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -75,Self-emp-not-inc,184335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -51,Private,135190,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K -29,Private,190911,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Local-gov,210464,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,State-gov,116385,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,18,United-States,<=50K -21,?,176356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,Germany,<=50K -40,Private,404573,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -37,Private,420040,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -42,Private,341757,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -74,State-gov,193602,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Male,15831,0,40,United-States,>50K -47,Private,39530,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K -43,Private,203233,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -27,Private,86681,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,113010,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,254767,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,189404,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -39,Private,172186,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,361497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,314149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K -20,Private,329530,9th,5,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,Mexico,<=50K -35,?,202683,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,59367,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Private,166606,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,82946,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,114801,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,107302,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -31,Private,329874,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,128162,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -36,Self-emp-not-inc,258289,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -31,Self-emp-not-inc,265807,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,50,United-States,<=50K -37,Private,262278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,45,United-States,>50K -44,Local-gov,124924,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -24,Private,141113,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K -39,Private,175390,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,231193,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -21,Private,30039,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,119838,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -38,State-gov,54911,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,10,United-States,<=50K -39,Private,77005,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -26,Private,318518,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,135643,HS-grad,9,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -59,Private,239405,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,35,Jamaica,<=50K -48,Private,218676,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,83066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K -39,Private,126569,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K -34,Private,177596,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Puerto-Rico,>50K -36,Private,218490,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K -20,Private,170800,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,413297,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,70,Mexico,<=50K -34,Self-emp-inc,175761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -56,Private,53366,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,92115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,252646,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -27,Private,160291,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Germany,<=50K -46,Private,96773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,107108,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -17,Private,355850,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,1602,15,United-States,<=50K -32,Self-emp-not-inc,199366,10th,6,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K -68,?,110931,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -40,State-gov,182460,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,38,China,>50K -50,Private,320510,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -80,Private,87518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1816,60,United-States,<=50K -45,Private,231672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,351952,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -19,Private,43003,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -50,Local-gov,237356,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -64,Self-emp-not-inc,253296,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,164775,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Guatemala,<=50K -28,Self-emp-inc,215423,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -41,Private,63042,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -65,Private,180807,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,991,0,20,United-States,<=50K -58,Private,225603,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,199444,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,206927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -40,Private,103541,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,148207,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,154949,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Private,128478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -46,Private,132912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -49,Local-gov,31267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,279196,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,312017,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,137232,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,50,United-States,<=50K -33,Private,106014,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,229636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -44,Local-gov,366180,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,277203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -45,Private,119904,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K -23,Private,173679,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,98466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,203027,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -55,Private,104996,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -36,Private,358373,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,36,United-States,<=50K -62,?,31577,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -56,Private,28297,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,306513,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,182414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -31,Private,200117,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -70,Self-emp-inc,217801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -37,Private,126675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,23324,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,86709,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -27,Private,37359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -44,Private,184871,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,205555,Prof-school,15,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -36,Private,338033,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Federal-gov,129707,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,177054,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -17,?,34505,11th,7,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -57,Self-emp-inc,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -29,Private,130856,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,95984,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -60,Self-emp-not-inc,35649,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,143331,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -35,Federal-gov,287658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -65,?,111916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -60,Federal-gov,404023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K -57,Private,124852,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,379418,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,85815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -20,Private,105244,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,228238,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -44,Private,219441,10th,6,Never-married,Sales,Unmarried,Other,Female,0,0,35,Dominican-Republic,<=50K -46,Private,243190,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -41,Private,95168,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,214987,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,2174,0,40,United-States,<=50K -36,Private,95654,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Iran,>50K -66,Self-emp-not-inc,219220,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,40,United-States,<=50K -21,Private,270043,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -47,Private,216734,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -50,Self-emp-inc,140516,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,96480,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -41,Private,397346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,221418,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,441620,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,43,Mexico,<=50K -53,Self-emp-inc,233149,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -48,Private,167472,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,233796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,32,United-States,>50K -50,Local-gov,282701,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K -70,Self-emp-not-inc,323987,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,167350,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -62,Self-emp-not-inc,82388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,40,United-States,<=50K -59,Private,59584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,225193,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,110373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Private,326232,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K -29,Private,320451,HS-grad,9,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -36,Private,135289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,53481,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K -41,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,36,United-States,>50K -25,Private,499233,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,238342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,162915,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,153475,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,193882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -53,Self-emp-not-inc,30008,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -57,Private,137031,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -52,State-gov,231166,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,305692,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -18,Private,177722,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -53,Local-gov,103995,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,54,United-States,<=50K -28,?,241580,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,55,United-States,<=50K -35,Private,110013,Bachelors,13,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,181863,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,27,United-States,<=50K -37,Local-gov,156261,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -27,Private,216481,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,170456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,Italy,<=50K -48,Private,120902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -18,Private,218183,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -43,Private,45156,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,130126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -61,Federal-gov,181081,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -32,Private,169240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,116788,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,21906,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -57,Self-emp-inc,195835,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,136331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,258730,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,Japan,<=50K -72,Private,107814,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,2329,0,60,United-States,<=50K -52,Private,306108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,374163,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -37,State-gov,142282,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -54,Private,283281,7th-8th,4,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,50,United-States,<=50K -47,Local-gov,127678,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -35,Private,160120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -43,Private,221550,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Poland,<=50K -22,Federal-gov,154394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,?,83601,12th,8,Widowed,?,Unmarried,White,Female,0,0,70,United-States,<=50K -34,Private,161153,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,405765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -22,?,246386,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,?,29231,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,179203,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -43,Self-emp-not-inc,32451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,177828,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,42881,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -36,Private,218948,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -68,Local-gov,137518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K -58,Private,306233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -36,Local-gov,174640,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,60,United-States,>50K -39,Self-emp-not-inc,106347,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,47,United-States,<=50K -23,Private,120910,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Private,423222,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -47,Private,191411,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K -29,Private,176727,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -41,Private,207375,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,281647,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,333651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,70,United-States,>50K -18,Self-emp-inc,184920,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -20,Private,72055,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Local-gov,329144,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K -61,Self-emp-inc,103575,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -46,Private,191389,5th-6th,3,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,<=50K -23,Private,245302,Some-college,10,Divorced,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,201122,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,170148,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -27,Local-gov,289039,Some-college,10,Never-married,Protective-serv,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -38,Private,161066,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -51,Private,91506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -23,Private,249277,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,75,United-States,<=50K -33,Private,300497,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,119297,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,108997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,201680,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K -39,Private,149943,Masters,14,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -25,Private,181814,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -20,Local-gov,350845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -52,Local-gov,266433,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Local-gov,80411,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,573583,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Italy,>50K -41,Local-gov,523910,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,196508,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -26,Private,94936,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,136986,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,?,171411,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,201871,12th,8,Never-married,?,Own-child,White,Male,0,0,7,United-States,<=50K -28,Local-gov,283227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -47,Private,606752,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,194304,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K -24,Private,107882,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,153549,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -26,Private,55860,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Local-gov,93618,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K -36,Private,51089,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Private,139126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -20,Private,137974,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,168187,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -32,Private,295117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,England,>50K -22,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,208725,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -73,?,30713,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -61,Private,168654,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -26,Private,109570,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -29,Private,91547,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,181677,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K -28,Private,187397,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,48,Mexico,<=50K -27,Private,107236,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,State-gov,334422,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Male,0,0,47,United-States,<=50K -39,State-gov,221059,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,Other,Female,7688,0,38,United-States,>50K -41,Self-emp-not-inc,100800,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,70,United-States,>50K -24,Private,125031,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,196943,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -48,Local-gov,452402,Doctorate,16,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,15,United-States,<=50K -40,Private,77975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,383300,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,215373,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -61,State-gov,186451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -29,Private,353352,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,356555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -68,?,129802,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -40,Private,67243,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,270276,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,240468,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -62,Private,94318,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Private,388725,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,172032,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,51,United-States,>50K -49,Private,180532,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,278254,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,154874,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,313022,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,89559,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,368949,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,>50K -21,Private,307315,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -22,?,330571,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,22149,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,18,United-States,<=50K -31,Private,27856,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -31,Private,246439,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K -34,Local-gov,101517,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -57,Local-gov,109973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,State-gov,179319,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -35,Local-gov,27763,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,122322,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K -43,Private,343591,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Local-gov,176802,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,223367,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,263005,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,<=50K -35,Private,261241,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,60,United-States,<=50K -20,Private,107882,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,202027,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K -63,Private,246841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,73199,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -29,?,410351,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Federal-gov,119832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -47,State-gov,141483,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,112176,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,166181,HS-grad,9,Widowed,Priv-house-serv,Own-child,Black,Female,0,0,25,United-States,<=50K -36,Private,107302,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -38,Self-emp-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,118536,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,100563,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,235909,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -68,Self-emp-not-inc,191517,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,349826,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,26880,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,386962,10th,6,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K -54,Self-emp-not-inc,109413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -54,Private,118108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -25,?,104614,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -51,State-gov,226885,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,270942,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -43,Private,27661,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,State-gov,86912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,Private,137300,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,39518,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -27,Self-emp-not-inc,140863,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,245975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,231348,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,248476,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,>50K -34,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,28145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,52,United-States,<=50K -43,Private,108126,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,1762,24,United-States,<=50K -39,Private,130620,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K -18,Private,184016,HS-grad,9,Married-civ-spouse,Priv-house-serv,Not-in-family,White,Female,3103,0,40,United-States,<=50K -23,Private,275818,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K -75,?,173064,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -33,Private,145437,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,43,United-States,<=50K -34,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K -47,Private,139701,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -53,Private,124076,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,37,United-States,>50K -47,Self-emp-not-inc,160045,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -46,Private,345073,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K -60,Private,176360,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,198096,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -34,Local-gov,454076,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,99401,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -27,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -17,Private,295488,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K -32,Self-emp-not-inc,174789,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Local-gov,132879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -28,Private,265628,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -30,?,121468,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -45,Local-gov,54190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Self-emp-not-inc,347166,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,161930,HS-grad,9,Never-married,?,Own-child,Black,Female,0,1504,30,United-States,<=50K -71,Self-emp-not-inc,78786,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K -60,Private,81578,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,230951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,327435,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,164190,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,450141,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,1408,40,United-States,<=50K -53,Private,201127,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,385452,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,156809,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,60,United-States,<=50K -25,?,420081,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -72,?,271352,10th,6,Divorced,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -44,Private,193537,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,50,Puerto-Rico,<=50K -23,Private,520231,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -65,Private,113293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,Self-emp-inc,49020,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -70,Private,235781,Some-college,10,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -35,Private,407913,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -64,Private,181232,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K -63,Local-gov,379940,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,171393,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K -35,Private,186845,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -34,Private,174789,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K -36,Private,266347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K -55,Local-gov,159028,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,?,34161,12th,8,Separated,?,Unmarried,White,Female,0,0,30,United-States,<=50K -77,Self-emp-not-inc,184046,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,Private,249870,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -47,?,89806,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -41,Private,115562,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,92649,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,28171,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,78,United-States,>50K -29,Local-gov,270379,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Local-gov,33155,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,184456,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,Italy,<=50K -28,Private,264735,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K -44,Private,106698,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,140764,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -47,Local-gov,40690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,170310,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -67,?,182378,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,60,United-States,>50K -27,Private,169117,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -39,Local-gov,187385,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,>50K -32,Private,307353,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,125280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -29,Private,180271,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,137296,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -37,State-gov,191841,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,8614,0,40,United-States,>50K -45,Federal-gov,273194,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,3325,0,40,United-States,<=50K -40,Private,199303,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,38312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -62,Private,256723,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,122234,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,?,<=50K -32,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,10520,0,50,United-States,>50K -18,Private,278141,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,109186,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,<=50K -31,Private,272069,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,181091,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -49,Private,102583,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,44,United-States,>50K -42,Self-emp-not-inc,326083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -79,?,27457,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,23,United-States,<=50K -58,Local-gov,218724,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,224466,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,24,United-States,<=50K -53,Local-gov,248834,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -57,Private,190488,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,193945,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -36,Private,237943,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -42,Private,176286,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,339773,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,State-gov,238187,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -58,Private,33725,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Private,124420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,312667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,446512,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,?,167978,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,261207,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Peru,<=50K -36,Private,214807,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,106938,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,38,United-States,<=50K -22,State-gov,211798,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -36,Private,126946,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,219262,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,40255,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,136951,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Local-gov,254949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,114537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,190511,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,Self-emp-not-inc,392694,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -45,Private,98765,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Canada,<=50K -50,Self-emp-inc,304955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,?,112660,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,332155,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -58,Self-emp-inc,274363,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -36,Private,114055,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,3325,0,40,United-States,<=50K -20,Private,305874,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,312588,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,264055,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,292583,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -58,Private,356067,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,34091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -19,Private,120251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,14,United-States,<=50K -66,?,190324,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,18,United-States,<=50K -38,Local-gov,131239,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,208657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,255044,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -28,Private,162551,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,48,China,<=50K -55,Self-emp-not-inc,26683,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -59,Private,171355,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,252714,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,287160,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -52,Private,188644,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -33,Local-gov,163867,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -36,Private,191146,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -35,Private,111635,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,187376,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -33,Private,161444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,148549,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -40,Local-gov,261497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -56,Private,193818,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,161334,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K -31,Private,100333,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,36,United-States,<=50K -25,Private,296394,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,45,United-States,<=50K -62,Private,291904,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K -31,Private,312667,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Federal-gov,44807,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -42,Federal-gov,65950,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,110538,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -47,Self-emp-inc,77764,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -36,Private,128392,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4787,0,40,United-States,>50K -22,Private,125542,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,69481,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -42,Private,250536,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,21,Haiti,<=50K -66,Self-emp-not-inc,427422,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,2377,25,United-States,>50K -38,Private,189916,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -51,Local-gov,195844,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -59,Private,333270,Masters,14,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -45,Private,347025,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -49,Self-emp-not-inc,121238,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,160785,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -61,Private,119986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -58,?,169982,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -33,Private,1161363,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,Columbia,<=50K -28,Private,472580,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,96975,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -43,Private,172256,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Private,49923,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,120998,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -57,Self-emp-not-inc,413373,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -30,Private,185177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K -28,Local-gov,134771,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -53,Private,192386,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K -80,Private,22406,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,33323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,203055,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,120053,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,341762,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -44,Private,164678,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -46,Self-emp-inc,276934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -31,State-gov,209954,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,34452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,347623,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,479765,7th-8th,4,Never-married,Sales,Other-relative,White,Male,0,0,45,Guatemala,<=50K -49,Self-emp-not-inc,215096,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -62,Self-emp-not-inc,75478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,138107,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2258,40,United-States,>50K -51,Private,126010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,380560,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -65,Private,242580,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,11678,0,50,United-States,>50K -43,Private,169076,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,269722,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -70,Self-emp-inc,223275,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,433624,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,29702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -66,Self-emp-not-inc,183249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -37,Local-gov,89491,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,183355,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -75,Private,148214,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -60,Private,123992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,215572,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,296450,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,52401,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,193952,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K -27,Private,209801,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,?,<=50K -35,Private,397877,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,267859,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K -30,Private,155659,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -45,Private,256649,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -39,State-gov,65390,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -60,Private,39952,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2228,0,37,United-States,<=50K -36,Self-emp-not-inc,118429,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,Federal-gov,594194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,403344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,272428,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4416,0,42,United-States,<=50K -55,Local-gov,88856,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Local-gov,314375,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K -44,State-gov,296326,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,188694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -23,State-gov,235853,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,22,United-States,<=50K -33,Private,103435,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -60,?,162397,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -34,Private,242984,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,66432,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -35,Private,73715,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,90636,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Female,594,0,40,United-States,<=50K -48,Local-gov,93449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,Philippines,>50K -55,Private,173093,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,160120,Doctorate,16,Divorced,Adm-clerical,Other-relative,Other,Male,0,0,40,?,<=50K -20,Private,256211,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -49,Private,120629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,27828,0,60,United-States,>50K -37,Private,177181,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,82161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -36,Private,300333,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,<=50K -29,Private,288229,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Asian-Pac-Islander,Female,4386,0,45,United-States,>50K -23,Federal-gov,361278,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Self-emp-inc,160151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -49,Private,187454,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K -44,Self-emp-not-inc,89413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,241895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,40,United-States,<=50K -30,Private,323833,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,132327,Some-college,10,Separated,Adm-clerical,Other-relative,Other,Female,0,0,40,Ecuador,<=50K -51,Private,148431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,316606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,2339,50,United-States,<=50K -31,Private,178506,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,196164,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,Private,260977,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -20,Private,55465,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,32454,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -43,Private,293305,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -19,Private,430471,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,201697,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Federal-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,60,United-States,>50K -47,Private,186311,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,551962,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,50,Peru,<=50K -31,Self-emp-inc,113752,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,171091,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,180288,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -36,Self-emp-not-inc,182898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -24,Private,175778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,234108,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -40,Private,305846,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -42,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -18,Private,190325,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,33619,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,4,United-States,<=50K -20,Private,86143,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -51,Private,175246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -56,Private,82050,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,198513,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,157466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -61,Local-gov,313852,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,State-gov,438427,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,240358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -29,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -39,Private,193260,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,25,Mexico,<=50K -36,Private,214604,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -41,Private,308550,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,60,United-States,<=50K -55,Private,266019,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,4,United-States,<=50K -32,Private,153963,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -31,Private,157568,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,State-gov,185400,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Local-gov,321024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -55,?,487411,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -61,Private,232719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,57512,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,State-gov,270278,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,Puerto-Rico,<=50K -48,Private,265295,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -29,Private,97189,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,?,169886,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,20,?,<=50K -30,Local-gov,287737,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,3325,0,40,United-States,<=50K -37,Local-gov,31023,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,54310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -50,?,346014,7th-8th,4,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,204536,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -40,Federal-gov,134638,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,39,United-States,<=50K -26,Private,464552,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -50,Self-emp-not-inc,240922,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,1408,5,United-States,<=50K -50,Private,320510,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Private,37933,12th,8,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,56510,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -58,Federal-gov,298643,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,192936,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,277488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -36,Private,588739,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,India,<=50K -44,Private,107433,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -50,Local-gov,231725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,177493,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K -32,Private,209103,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3464,0,40,United-States,<=50K -33,Private,246038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,141584,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,<=50K -37,Private,212512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,50,United-States,<=50K -27,Private,249382,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Federal-gov,83610,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,356882,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,125012,Bachelors,13,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -32,Private,323985,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,171090,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,<=50K -61,Private,231183,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,249271,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,121838,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,306156,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,469921,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,189680,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -28,Private,38918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,201928,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,355954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -51,Private,90363,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -28,Private,402771,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,61518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,106698,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,79483,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -62,Self-emp-not-inc,369734,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -22,?,424494,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -54,Private,28683,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K -52,Private,187356,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,41,United-States,<=50K -29,Private,114968,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,165315,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K -22,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -59,State-gov,202682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,262244,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,60,United-States,>50K -69,Private,304838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K -45,Private,274869,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,73679,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K -32,Private,177531,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,23,United-States,<=50K -24,State-gov,155775,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,130840,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -38,State-gov,168223,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,111385,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,166115,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -52,Private,155759,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,31577,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,235847,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -72,Self-emp-inc,172407,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -45,Private,160440,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -31,Private,280927,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -30,Private,111415,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Germany,<=50K -41,Self-emp-not-inc,252392,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,96,Mexico,<=50K -24,Private,194630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,461337,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,44308,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,State-gov,61743,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -19,Private,134252,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -35,Self-emp-not-inc,348771,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -64,Self-emp-inc,179436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -40,Private,34722,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K -31,Local-gov,381153,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,56,United-States,>50K -27,Self-emp-not-inc,115438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Ireland,>50K -59,Private,70796,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,15,United-States,<=50K -41,Self-emp-not-inc,27305,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,312271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,278553,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,<=50K -38,Private,312108,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,429507,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -63,Private,50349,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -17,Private,28544,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,138152,9th,5,Never-married,Craft-repair,Other-relative,Other,Male,0,0,58,Guatemala,<=50K -63,Private,219337,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,45,United-States,<=50K -38,Private,140854,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,183789,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -69,Private,135891,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,>50K -34,Private,236861,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,314823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -25,Private,189334,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,33794,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -40,Private,445382,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,347890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,94391,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,Local-gov,102938,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,101132,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,40,United-States,<=50K -23,Private,163870,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,State-gov,250976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,102858,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Local-gov,151726,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -34,State-gov,238944,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -73,Private,148003,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,36,United-States,>50K -20,Private,296618,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -70,Local-gov,176493,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,42,United-States,>50K -24,Private,403671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,270324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K -20,Private,167424,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,214955,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Female,0,2339,45,United-States,<=50K -33,Private,189017,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,230329,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,343506,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,151325,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,626493,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,589838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -62,Private,136314,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,127273,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -53,Private,95540,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -20,Private,57898,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,215495,9th,5,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,Mexico,<=50K -50,Private,197623,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -25,Private,234263,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,36924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Self-emp-inc,142404,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,119170,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1740,40,United-States,<=50K -49,Private,234320,7th-8th,4,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,45,United-States,<=50K -43,Local-gov,115511,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2002,40,United-States,<=50K -61,Local-gov,257105,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,239865,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,182843,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,106900,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K -18,Self-emp-inc,147612,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,8,United-States,<=50K -33,Private,194141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,?,313786,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -57,Private,308861,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,169544,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,252457,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,402361,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,51284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,36,United-States,<=50K -37,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,396099,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,127892,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -46,Federal-gov,46537,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,197344,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K -41,Private,276289,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,60,?,<=50K -21,Private,77759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -35,Self-emp-inc,126738,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -20,Private,291407,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,196117,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,100605,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,Puerto-Rico,<=50K -55,Private,218456,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,162442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,50,United-States,>50K -41,Private,58124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,278552,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -23,Federal-gov,102684,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -54,Private,133963,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -31,Private,100252,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,99999,0,70,United-States,>50K -41,Private,197372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -34,Private,253616,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -34,?,310525,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,10,United-States,<=50K -46,Private,219611,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,67065,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,240283,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,252646,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Private,261418,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -59,?,254765,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -28,Federal-gov,19522,Some-college,10,Never-married,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -51,Private,194097,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,168894,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,154863,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -41,Private,175674,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,109015,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,106943,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -30,Private,399088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,89598,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -21,Private,163870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,270437,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,162236,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,183811,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,189185,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,301302,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Local-gov,184542,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,?,52267,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -29,Private,59231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,244172,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,298785,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,State-gov,198493,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,144063,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -58,Private,118303,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K -60,?,134152,9th,5,Divorced,?,Not-in-family,Black,Male,0,0,35,United-States,<=50K -32,Private,227608,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,153152,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,2051,38,United-States,<=50K -48,Federal-gov,191013,Bachelors,13,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -39,Private,99357,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,1506,0,40,United-States,<=50K -36,Private,197202,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -62,Private,162245,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1628,70,United-States,<=50K -31,Private,196791,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -23,Private,210053,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -41,Self-emp-inc,114967,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,38444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -44,Local-gov,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -52,Private,94873,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,19,United-States,<=50K -21,?,303588,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -61,?,158712,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K -37,State-gov,164898,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,253267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1902,36,United-States,>50K -38,Federal-gov,365430,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -68,?,150250,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,1510,30,United-States,<=50K -41,Private,332703,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Female,0,625,40,United-States,<=50K -22,Private,112847,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,37918,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -32,Private,156015,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Private,94692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -40,State-gov,270324,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K -62,Private,41718,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -30,Local-gov,154950,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -27,Self-emp-not-inc,37302,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,311478,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,45,United-States,<=50K -28,Local-gov,180271,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,>50K -19,?,52114,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -49,Private,76482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,325538,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -52,Private,198362,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -59,Private,47534,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -69,Private,119907,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,70088,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,262511,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -31,Self-emp-not-inc,23500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K -59,Private,109638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,94174,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -50,Private,177896,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-inc,216214,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -57,Private,175942,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -23,Private,309580,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,68684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -47,State-gov,187087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,289653,Assoc-voc,11,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,186224,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,111363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -27,Private,302422,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Private,370888,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,6,Germany,<=50K -20,Private,350824,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,356934,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -28,Self-emp-inc,201186,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,99999,0,40,United-States,>50K -35,Private,194591,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,19302,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,England,>50K -45,Federal-gov,81487,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K -52,Private,114971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,?,193043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,101320,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,42,United-States,>50K -57,Local-gov,22975,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -38,State-gov,187119,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -24,Private,285432,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,195789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -31,Self-emp-inc,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Federal-gov,263162,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,204254,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,45,United-States,<=50K -57,Private,127779,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,116167,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -55,Private,189528,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -46,State-gov,27802,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -37,Private,112512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,>50K -23,Private,112854,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -38,Private,292307,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K -40,Private,477345,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2057,40,Mexico,<=50K -40,Private,343068,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -52,State-gov,108836,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -36,Private,316298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,147206,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -26,Private,331806,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,37,United-States,<=50K -55,Private,326297,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -43,Private,102180,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,State-gov,49105,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -66,?,107112,7th-8th,4,Never-married,?,Other-relative,Black,Male,0,0,30,United-States,<=50K -20,Private,182342,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,54608,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -40,Private,335400,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -41,Private,238355,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -65,Self-emp-not-inc,167414,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,59,United-States,>50K -62,Private,88055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K -69,?,473040,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,53874,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Cuba,<=50K -32,Private,370160,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Local-gov,216116,Masters,14,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K -65,Self-emp-inc,103824,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-inc,157240,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,30,Iran,>50K -32,Private,56150,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,115792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -30,Private,159187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,55,United-States,>50K -55,Self-emp-not-inc,225623,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,213625,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,305609,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K -31,Private,288566,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,>50K -52,Private,89534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,183096,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K -56,Private,253854,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,420629,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,408988,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -52,Federal-gov,37289,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -49,Private,245305,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,42,United-States,>50K -46,Self-emp-not-inc,96260,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -46,Private,171095,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -21,Private,118186,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -33,Private,83446,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -23,Self-emp-not-inc,448026,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,?,140590,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -51,Local-gov,116286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -72,?,132015,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -53,Private,590941,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,1408,40,United-States,<=50K -39,Private,65027,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -33,Private,110592,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -60,Self-emp-inc,336188,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K -17,Private,102446,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -41,Private,124639,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Local-gov,287320,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,76131,5th-6th,3,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -36,State-gov,135874,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,125106,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,335421,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -31,Private,74501,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -18,Private,157131,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -33,State-gov,65018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -23,Private,152328,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,13550,0,50,United-States,>50K -55,Private,175942,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,?,>50K -76,Private,328227,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5556,0,13,United-States,>50K -47,Private,201127,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,291702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Federal-gov,234151,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,151763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,203717,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,259425,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,147473,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,373366,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,3781,0,50,Mexico,<=50K -23,Self-emp-not-inc,258298,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2231,40,United-States,>50K -43,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -52,Self-emp-inc,181855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,65,United-States,>50K -36,Private,114059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,407138,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2936,0,50,Mexico,<=50K -40,Private,170230,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K -33,Private,101345,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,Canada,>50K -39,Self-emp-not-inc,52187,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,166416,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -29,Federal-gov,204796,10th,6,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,166636,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -23,?,191910,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -27,?,105189,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K -50,Local-gov,124963,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,35,United-States,>50K -48,Private,202322,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,El-Salvador,<=50K -28,Private,224629,Masters,14,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,30,Cuba,<=50K -21,Private,145964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K -37,Local-gov,328301,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -56,Private,367984,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -38,Private,258761,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,255454,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,35,Haiti,>50K -44,Federal-gov,244054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -49,?,141483,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,233130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,?,247547,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,157413,1st-4th,2,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,33895,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,195491,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,State-gov,187746,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -37,Private,290609,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,64167,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,483201,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Private,201112,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -27,Private,142075,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -56,Private,32446,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,266467,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,204729,Assoc-voc,11,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -45,Private,220641,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,179791,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -58,Self-emp-inc,229498,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,>50K -23,Private,345734,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,195844,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K -33,Private,303942,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,138852,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -58,State-gov,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,190292,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Local-gov,205903,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -50,Private,138358,10th,6,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,47,Jamaica,<=50K -48,Self-emp-not-inc,243631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,30,South,<=50K -20,State-gov,39478,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,54,United-States,<=50K -21,Private,136975,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -31,State-gov,350651,12th,8,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -20,Private,221661,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,30,Mexico,<=50K -44,Local-gov,277533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Private,167106,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,3103,0,35,Philippines,>50K -35,State-gov,172475,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,2977,0,45,United-States,<=50K -34,Private,56883,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,219611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -23,State-gov,82067,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,33355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,48,United-States,>50K -29,?,143938,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,389713,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,223433,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,327766,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,>50K -36,Federal-gov,403489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -45,Private,191858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -59,Private,91384,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,116379,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Taiwan,>50K -33,Private,102270,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -37,Self-emp-not-inc,154641,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,86,United-States,<=50K -47,?,186805,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,Private,130525,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,112791,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,410351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,98921,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,283122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Private,440138,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,England,<=50K -33,Private,84154,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -56,Private,298695,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -27,Private,301654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,266433,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,206889,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,449257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,224207,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,184702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,185670,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -83,Private,195507,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K -51,Private,143822,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,State-gov,223725,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -29,Private,102875,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -49,Private,23776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,257277,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -64,Self-emp-not-inc,219661,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,9,United-States,>50K -33,Private,355856,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -31,Private,247328,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K -28,Private,263128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Private,245356,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,64479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,47,United-States,<=50K -23,Private,350181,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,242517,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -32,Private,172579,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,167482,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,188386,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -24,Self-emp-not-inc,83374,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,>50K -47,Local-gov,246891,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,>50K -45,Private,30457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -26,Private,255193,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K -22,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -31,Private,131425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,96245,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -54,Self-emp-not-inc,269068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,Philippines,>50K -50,Private,187830,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -33,State-gov,427812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Mexico,<=50K -24,Federal-gov,287988,Bachelors,13,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,225746,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -28,Private,132191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -72,?,305145,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -58,?,365410,Some-college,10,Separated,?,Other-relative,White,Female,0,0,99,United-States,<=50K -59,Federal-gov,195467,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,149204,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,105119,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,162322,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,305597,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -73,Private,301210,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1735,20,United-States,<=50K -35,Self-emp-not-inc,160192,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,405723,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -44,Private,179666,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,35,England,<=50K -38,Private,103925,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -24,Private,229826,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -67,Self-emp-not-inc,106143,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -26,Private,284078,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,214816,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -57,Private,244478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,<=50K -41,Private,197907,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,122999,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -35,Private,234901,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -24,Private,88824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,269254,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -38,Private,31069,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -45,Private,81132,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,>50K -47,Private,431515,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Federal-gov,184723,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K -27,Private,170301,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,353696,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,319371,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -40,?,165309,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -25,Private,283087,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,249869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,369131,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -39,Private,31053,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,218899,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -37,Private,356250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -58,Self-emp-not-inc,237546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -36,Self-emp-not-inc,84294,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -29,Private,85572,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K -27,Local-gov,206125,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,503454,12th,8,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -28,Private,212640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,85,United-States,<=50K -42,Private,209370,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,154669,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K -53,State-gov,153486,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,358121,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -20,Private,39477,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -63,?,110150,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K -41,Private,90021,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -21,Private,275421,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,200360,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,198512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Local-gov,34832,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -38,Local-gov,167440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,159732,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K -43,Private,161240,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,197836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,197182,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,40641,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -40,Private,205680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,204338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -32,Local-gov,100135,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,28984,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,25,United-States,<=50K -47,Self-emp-not-inc,218676,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,146477,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,Greece,>50K -34,State-gov,103371,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,121040,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -44,Private,159297,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K -26,Local-gov,197530,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,204226,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,335570,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -36,?,186815,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,235646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -27,Private,206903,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -38,Local-gov,116608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -63,Private,192849,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -47,Private,70209,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -74,Private,70234,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,26,United-States,<=50K -76,Private,97077,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,12,United-States,<=50K -41,Private,187795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K -42,Private,388725,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -28,Private,68021,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,117549,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -24,Private,33016,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,90915,Bachelors,13,Married-spouse-absent,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,530454,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -48,Local-gov,123075,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -34,Private,208043,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -62,Self-emp-inc,24050,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -50,Private,98215,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,240138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,111000,Masters,14,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Private,280215,HS-grad,9,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,143385,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,278514,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,42,United-States,<=50K -37,Private,234807,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,7430,0,45,United-States,>50K -36,State-gov,166606,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,179707,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,210610,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -64,Private,88470,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,183092,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -46,Private,233493,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,40,United-States,<=50K -28,Local-gov,407672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,207064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,110458,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,187493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,Germany,>50K -31,Private,47151,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K -25,Private,91709,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,142037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -24,Local-gov,34246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -37,Private,326886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,215896,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K -21,State-gov,299153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -40,Private,124520,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,>50K -17,?,67808,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,111218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,105150,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -47,Private,163814,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,128757,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,36,United-States,>50K -50,Self-emp-inc,158294,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K -22,Private,305874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,56915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Private,210275,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,?,267352,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,172425,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -27,Private,128365,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,153082,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,?,296372,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,68781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,?,172256,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -18,Private,183034,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K -21,State-gov,99199,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -54,Local-gov,54377,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,199143,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,44,United-States,>50K -37,Local-gov,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,267661,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,75,United-States,<=50K -20,Private,185554,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -19,Private,25429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Local-gov,339772,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,348618,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -37,Private,338033,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,?,183855,11th,7,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -39,Private,282951,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,259609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,160398,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,225544,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Poland,<=50K -45,Local-gov,164427,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,184271,Assoc-acdm,12,Never-married,?,Own-child,White,Female,594,0,20,United-States,<=50K -51,Self-emp-inc,192973,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -28,Private,208249,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,24,United-States,<=50K -19,Private,43285,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -44,Self-emp-inc,352971,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,Self-emp-not-inc,54566,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -44,Self-emp-not-inc,109684,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,244650,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,25,United-States,<=50K -23,Private,196827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K -42,Local-gov,193537,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,Puerto-Rico,<=50K -27,Private,114967,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,185619,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,>50K -18,Private,90860,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -49,Private,123584,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -43,State-gov,144811,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,245724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,44,United-States,<=50K -59,Private,158776,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,416577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,2829,0,40,United-States,<=50K -47,Private,149366,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Peru,<=50K -52,?,287575,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,171589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,101266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,205940,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,30,United-States,<=50K -42,Private,102085,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -32,Private,193042,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -39,Self-emp-not-inc,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,South,<=50K -23,Private,263886,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,20,United-States,<=50K -33,Private,163110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K -44,Self-emp-not-inc,218653,Bachelors,13,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,149784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,366089,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -34,Self-emp-not-inc,234960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,48,United-States,>50K -18,Private,222851,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -35,Local-gov,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -54,Private,43269,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -44,Private,203897,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K -61,Private,230292,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -25,Private,211097,5th-6th,3,Divorced,Other-service,Unmarried,Other,Female,0,0,20,Honduras,<=50K -65,Without-pay,27012,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K -51,Private,90275,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -31,Private,119432,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,201865,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -67,Self-emp-inc,116986,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -61,Local-gov,176731,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,123983,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -34,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -58,Private,218764,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -55,Private,451603,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,237731,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -17,?,235661,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -29,Self-emp-not-inc,212895,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Federal-gov,340899,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,70668,10th,6,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -19,Private,29250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -44,Private,238188,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,216093,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,275395,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,401134,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,2238,40,United-States,<=50K -40,Private,202466,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -30,Private,188362,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -33,Local-gov,154874,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,176552,11th,7,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -41,Self-emp-inc,73431,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,184756,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,190968,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -51,Self-emp-not-inc,329980,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,United-States,>50K -42,Local-gov,178983,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K -50,Local-gov,425804,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -51,Private,163027,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,20,United-States,<=50K -43,Private,200835,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,1092,40,Philippines,<=50K -48,Private,193047,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -50,Self-emp-inc,176751,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,>50K -31,Private,264351,12th,8,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Mexico,<=50K -51,Private,183709,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,115066,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -28,Private,227104,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,132683,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -56,Private,191917,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,4101,0,40,United-States,<=50K -42,Private,142756,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Private,125933,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -58,Private,187060,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -57,Self-emp-inc,212600,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -39,Self-emp-inc,144154,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K -36,Self-emp-inc,200220,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -36,Local-gov,254202,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Germany,<=50K -19,?,80978,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -20,Private,178390,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,256545,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -25,Private,96862,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K -61,?,124648,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,134120,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -35,Private,139012,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -47,Self-emp-not-inc,121124,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Private,157043,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -22,Local-gov,195532,Some-college,10,Never-married,Protective-serv,Other-relative,White,Female,0,0,43,United-States,<=50K -60,Private,23336,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,155913,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,147147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -20,Private,113307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -25,Private,222254,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,368797,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -26,Private,98155,HS-grad,9,Married-AF-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -47,Private,311395,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,353524,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K -29,Private,293073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,48,United-States,>50K -55,Self-emp-not-inc,396878,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,25,United-States,<=50K -24,Private,117363,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -53,Local-gov,110510,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -47,?,308242,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,120201,Some-college,10,Divorced,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K -21,Private,301915,11th,7,Separated,Sales,Not-in-family,Other,Female,0,0,30,Mexico,<=50K -28,Private,692831,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K -69,Private,125437,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -42,Private,198316,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Private,304570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K -26,Private,214303,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -48,Private,151584,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K -31,Private,214235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -77,?,331863,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -29,Private,327964,9th,5,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,?,300812,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -64,Private,258006,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K -33,Private,292603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,Dominican-Republic,<=50K -25,Private,86872,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -42,Private,121055,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,204226,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,136986,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,139647,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -37,Private,292855,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,35,United-States,>50K -73,Private,349347,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -22,Private,141698,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,301614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -64,Private,169482,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,State-gov,54887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,187392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,115806,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,2547,40,United-States,>50K -31,Private,87891,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,189610,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K -42,Private,112181,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -62,?,378239,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -40,Private,156526,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,37937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -55,Private,164857,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,190987,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,7298,0,40,United-States,>50K -38,Private,193372,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,379066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,24,United-States,<=50K -19,Private,222199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -22,Private,333158,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -44,Private,172160,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,?,168095,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,38294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -77,Local-gov,144608,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,6,United-States,<=50K -31,Private,113129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,189911,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Local-gov,121012,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -27,Private,183523,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,338162,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,37,United-States,<=50K -29,Private,106153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,190916,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,20,United-States,<=50K -25,Private,157028,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,277746,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,39232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Private,255109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,70761,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,176917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -58,Self-emp-not-inc,261230,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,99761,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,162160,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,79190,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -44,Private,191196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -47,Local-gov,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Local-gov,358668,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -26,Private,160307,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2001,40,United-States,<=50K -62,Private,177028,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,215616,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K -26,Private,190330,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Private,104024,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,222490,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -18,?,234648,11th,7,Never-married,?,Own-child,Black,Male,0,0,15,United-States,<=50K -49,Private,164733,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,122348,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -51,Private,175070,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K -34,Private,176244,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,56121,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,31801,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -76,?,164835,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,156266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -22,Self-emp-not-inc,238917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,State-gov,107503,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,60,United-States,<=50K -24,Private,198914,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,25,United-States,<=50K -47,Private,207207,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -23,Private,120601,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,221661,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -40,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -28,Private,270366,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,176900,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -47,Federal-gov,38819,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -39,Private,128392,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -52,State-gov,184529,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -65,Self-emp-inc,172684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,Mexico,>50K -26,Private,117833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1669,50,United-States,<=50K -44,Self-emp-not-inc,177851,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,102058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,201328,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -54,Local-gov,129972,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K -39,Private,150057,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,186995,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,404951,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K -47,Private,97176,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,32356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K -25,Private,217006,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,178100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -54,Private,329266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -38,Private,165302,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -37,Private,386461,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,Mexico,<=50K -48,Self-emp-not-inc,108557,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,60,United-States,<=50K -25,Private,266062,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K -23,Private,60331,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,99928,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -47,Local-gov,179048,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,373403,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,189238,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,38,El-Salvador,<=50K -21,Private,417668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K -49,Private,164200,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,340982,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,3103,0,40,Philippines,>50K -18,Private,329054,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,104917,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,176286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,21798,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,Germany,>50K -53,Local-gov,175897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,45961,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K -36,Private,204590,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,213,40,United-States,<=50K -53,Private,117932,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,85129,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -26,Private,294493,Bachelors,13,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,192939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,179008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -42,Private,251239,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -33,Private,236304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,>50K -41,Private,200009,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,220832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,>50K -33,Private,150309,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,55950,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Federal-gov,56651,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,303692,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,306646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,>50K -36,Local-gov,161132,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -49,Federal-gov,203505,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Local-gov,116163,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,France,<=50K -33,?,171637,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,158583,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -49,Private,122206,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -32,Private,152156,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,53,United-States,<=50K -54,Self-emp-not-inc,168723,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,134232,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,236770,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,369131,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -23,Private,325596,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,178615,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -81,State-gov,132204,1st-4th,2,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,365465,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,70,Philippines,<=50K -39,Private,238255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,324254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,272800,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -33,Private,99309,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -46,Private,110794,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,153078,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K -51,Private,289572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -53,Private,194259,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,40,United-States,>50K -21,?,213055,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,40,United-States,<=50K -39,Private,167482,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -27,Private,189565,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,339482,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -19,Private,136306,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -29,Private,204663,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K -59,Self-emp-inc,141326,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -53,State-gov,43952,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,38,United-States,>50K -45,Local-gov,251786,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -17,Private,364491,11th,7,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K -40,Private,193144,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,244803,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Columbia,<=50K -58,Private,235624,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,>50K -17,Private,194517,11th,7,Never-married,Farming-fishing,Own-child,White,Female,0,0,18,United-States,<=50K -32,Private,154571,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -43,Private,122473,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,625,40,United-States,<=50K -47,Private,186157,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,?,122048,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,309974,Bachelors,13,Separated,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Federal-gov,368947,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,186245,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,185366,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -28,Private,179949,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Female,0,0,20,United-States,<=50K -26,Private,234258,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,174215,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -38,Private,166744,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,284358,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,Private,123886,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -48,Private,158685,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -31,Private,187560,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -43,Private,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,?,204668,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K -50,Private,209464,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -36,Private,192664,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,210458,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,<=50K -33,Self-emp-inc,239018,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,165815,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,120068,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -28,Private,191355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -47,Self-emp-inc,212120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,263871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,79702,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -44,Local-gov,73199,Assoc-voc,11,Divorced,Tech-support,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -39,Private,150061,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,15020,0,60,United-States,>50K -18,Private,93985,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,219546,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,47,United-States,<=50K -66,Private,115498,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,?,>50K -31,Private,22201,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -26,Private,152240,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,300445,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -55,Self-emp-inc,150917,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -56,State-gov,68658,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,131167,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,Private,177536,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -38,Private,372559,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,239539,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -19,Private,126501,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,South,<=50K -21,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -47,Private,104301,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K -42,Private,201723,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,153643,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -36,Private,398931,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -36,Self-emp-not-inc,36425,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,98475,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -17,Local-gov,99568,10th,6,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -39,Private,156780,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -34,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -22,Private,493034,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -17,Private,184198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K -41,Private,213055,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,50,United-States,<=50K -50,Private,117295,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,354464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,136873,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -42,Private,138872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -53,Federal-gov,439263,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -23,Private,265148,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K -28,Private,31493,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -52,Self-emp-not-inc,199265,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,209641,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -66,Private,350498,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,28,United-States,<=50K -30,Private,125279,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,102478,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,107916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K -22,Private,174043,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Local-gov,180599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,308334,1st-4th,2,Widowed,Other-service,Unmarried,Other,Female,0,0,30,Mexico,<=50K -36,Private,229180,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K -42,Self-emp-inc,27187,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -32,Local-gov,87310,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,41,United-States,<=50K -64,?,49194,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -29,Self-emp-inc,206903,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -37,Private,52221,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,324505,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -66,Private,269665,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,130620,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,33,?,<=50K -17,Private,327434,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -39,Self-emp-not-inc,102178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -63,Private,125954,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -17,Private,317681,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -42,Self-emp-not-inc,79531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Private,205730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -31,Private,263110,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,235108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,306309,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Local-gov,251588,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -17,Private,95875,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -54,Private,171924,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -37,Self-emp-not-inc,183735,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,30,United-States,<=50K -55,Private,56645,Bachelors,13,Widowed,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,235646,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,200127,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Without-pay,43887,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -20,Private,244406,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,82777,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K -64,Private,110110,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -90,Private,90523,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,99,United-States,<=50K -31,Self-emp-not-inc,175856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,104509,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,115284,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -55,?,200235,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -63,Private,114424,Some-college,10,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,37,United-States,<=50K -45,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -61,State-gov,103575,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Germany,<=50K -32,Private,430175,HS-grad,9,Divorced,Craft-repair,Other-relative,Black,Female,0,0,50,United-States,<=50K -24,Local-gov,177913,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,338042,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,147344,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,60,?,<=50K -40,Private,326310,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -53,Private,132304,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Scotland,<=50K -44,Self-emp-not-inc,95298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -38,Private,35890,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,172022,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2129,40,United-States,<=50K -41,Self-emp-not-inc,141327,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -59,Self-emp-not-inc,198145,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -49,Private,247892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K -34,Self-emp-not-inc,179673,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -53,Private,98791,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,126730,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,185336,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -47,Private,205100,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -41,Private,124956,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,99999,0,60,United-States,>50K -49,Private,116789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,241752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,476334,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -62,?,123612,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -38,Private,114591,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -23,State-gov,502316,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,117798,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,125228,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,State-gov,174325,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,40,United-States,>50K -59,Self-emp-inc,188877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -46,Self-emp-not-inc,182689,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,35,United-States,>50K -42,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,152452,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -62,Federal-gov,209433,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -28,?,49028,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,133526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -76,?,152802,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -27,Private,341504,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,240988,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K -31,Private,177675,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,178463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,436798,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,172722,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,184882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K -29,Private,178272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,223705,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,Columbia,<=50K -27,Private,428030,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Federal-gov,332194,9th,5,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -25,Private,262778,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,6849,0,50,United-States,<=50K -50,Private,204518,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,187485,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K -17,Private,191910,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -43,Local-gov,231964,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Local-gov,292379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,183557,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Private,467611,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -55,Private,105127,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,572751,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K -18,Private,211413,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -33,Private,273243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,225913,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,325355,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -29,Private,420054,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,200479,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -35,Private,204163,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,55,United-States,<=50K -22,Private,184665,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -29,?,112963,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -55,Private,125147,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,Private,90222,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Local-gov,496382,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,Guatemala,<=50K -33,Private,164864,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K -43,Private,60001,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K -33,Private,171215,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,State-gov,186990,Prof-school,15,Widowed,Prof-specialty,Not-in-family,Other,Female,0,0,52,United-States,>50K -31,Private,196025,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K -46,Private,216666,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -22,Self-emp-not-inc,361280,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,20,India,<=50K -23,Private,219519,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K -48,Private,254809,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,1594,32,United-States,<=50K -30,Private,232475,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K -52,Private,384959,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,>50K -31,Private,106014,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -18,?,158826,12th,8,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -45,Private,243743,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -60,?,116961,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K -43,Self-emp-not-inc,160369,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -36,Private,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -23,Private,494371,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,?,>50K -36,Private,169926,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,58471,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,29580,11th,7,Married-civ-spouse,Sales,Husband,White,Male,4386,0,30,United-States,>50K -35,Private,204590,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K -45,Private,289230,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,>50K -27,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -45,Private,282172,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,39089,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,6849,0,50,United-States,<=50K -25,Private,216741,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -57,Private,96346,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,57,United-States,<=50K -33,Private,189843,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,108317,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,81865,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,66356,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,443040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,62932,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -28,Private,147560,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -25,State-gov,165457,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,2463,0,40,United-States,<=50K -33,Self-emp-not-inc,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -41,Local-gov,223410,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -46,Local-gov,253116,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,177675,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,196344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,45,United-States,>50K -33,Private,321709,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K -68,?,186163,1st-4th,2,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,156025,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -30,Private,161815,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -57,Private,36091,HS-grad,9,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -28,State-gov,119793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,157145,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -64,Private,172740,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -57,Local-gov,174132,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1977,40,United-States,>50K -23,Private,176178,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,95283,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,49424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -49,Private,191277,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,265201,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -64,Private,292639,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,10566,0,35,United-States,<=50K -27,Private,177398,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,64,United-States,<=50K -24,Private,179203,12th,8,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K -36,Private,228652,Some-college,10,Divorced,Machine-op-inspct,Own-child,Other,Male,0,0,40,Mexico,<=50K -57,Local-gov,31532,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -29,Private,383402,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,Local-gov,319205,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,174592,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,410216,11th,7,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K -36,Private,111128,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -30,Private,391114,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,109162,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -63,Self-emp-inc,80572,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -33,Private,477106,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,144067,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,12,?,<=50K -31,Local-gov,192565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K -25,Private,137301,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,25825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,290964,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K -64,Federal-gov,199298,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K -56,Self-emp-not-inc,156873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,294991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,152940,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -66,Private,107196,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,18,United-States,<=50K -49,Self-emp-inc,257764,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,114158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K -17,Private,91931,11th,7,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K -19,Private,517036,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -18,Private,184101,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,6,United-States,<=50K -59,?,102058,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,45,Portugal,<=50K -21,Private,212661,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -21,Private,132320,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -33,Local-gov,29144,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,51973,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,Japan,<=50K -61,Self-emp-not-inc,53777,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,121775,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-inc,180955,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -61,Private,80896,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K -35,Private,126569,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -18,?,31008,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -30,Private,94235,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,336215,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -39,Private,201410,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,207505,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -32,Private,256362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,76845,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -22,?,327060,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,8,United-States,<=50K -55,Self-emp-inc,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -31,Private,307543,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,99,Cuba,<=50K -45,Private,38950,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Never-worked,462294,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,171234,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -55,Self-emp-inc,182273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,89040,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,243762,11th,7,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,350853,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K -40,Private,82465,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -41,Private,115932,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -37,Local-gov,34173,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -33,Self-emp-inc,206609,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,289960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -22,Private,317019,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Local-gov,188280,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K -52,Private,84788,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,154950,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -25,Local-gov,336320,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,188626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -47,Local-gov,154430,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -22,Private,195075,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -28,Private,137898,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,50191,9th,5,Divorced,Craft-repair,Unmarried,White,Male,5455,0,40,United-States,<=50K -68,Private,204680,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K -31,State-gov,268832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -26,Private,157249,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,125833,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -25,Private,81286,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -20,Private,20057,Some-college,10,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,Private,164309,11th,7,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -29,Private,240738,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,31842,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -48,Local-gov,67229,Masters,14,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,State-gov,277635,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,77634,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,75167,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,229005,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,189346,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K -29,Federal-gov,155970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -32,Private,113364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,292136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,State-gov,248374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -67,Local-gov,31924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2964,0,41,United-States,<=50K -47,Self-emp-not-inc,213745,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -79,Self-emp-not-inc,158319,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -24,Private,278130,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,144063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,?,148751,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,?,131777,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2002,40,United-States,<=50K -51,Private,299831,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,445728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,103651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -59,Private,191965,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,3908,0,28,United-States,<=50K -43,Private,157473,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,48,United-States,>50K -27,Private,205145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,275110,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,42,United-States,<=50K -29,Private,294592,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,588003,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -59,Self-emp-not-inc,116878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,<=50K -35,Private,163237,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -23,Private,140798,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,307149,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,402361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,107164,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,327164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K -27,State-gov,312692,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K -32,Private,386806,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,Mexico,>50K -29,Private,197932,Some-college,10,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,30,Guatemala,<=50K -23,Private,227594,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -65,Private,23580,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,123983,Bachelors,13,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K -42,Private,33002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -48,Private,64156,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,166153,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -65,Private,185001,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -47,Private,162302,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -62,Private,247483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,274228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K -51,Private,415287,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K -18,Private,219256,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -63,Self-emp-not-inc,125178,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,259131,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,5455,0,40,United-States,<=50K -33,Private,222221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -28,Private,212588,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,203580,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,<=50K -59,Private,77884,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -42,Local-gov,201495,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -21,Private,219086,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,90409,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,352105,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,167309,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,165218,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -38,Private,216385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1740,40,Haiti,<=50K -57,Local-gov,199546,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,304032,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K -37,Private,410913,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Other,Male,0,0,40,Mexico,<=50K -26,Private,335998,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -26,Private,191393,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,1380,40,United-States,<=50K -52,Private,158746,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Private,230205,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2001,32,United-States,<=50K -67,Self-emp-not-inc,431426,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K -59,Private,193335,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-inc,162943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,168262,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,107452,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,174090,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,4687,0,50,United-States,>50K -21,Private,143184,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,118909,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -52,Private,231196,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,239061,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -35,Private,184685,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -43,Private,45975,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Italy,<=50K -32,Private,123291,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,130534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,63574,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,143030,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,312631,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K -37,Federal-gov,106297,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -56,State-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K -42,Private,242619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,222162,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,United-States,<=50K -21,Private,161051,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,4,United-States,<=50K -42,Private,171615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -26,Private,300290,11th,7,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,118025,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -47,Self-emp-inc,332355,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -29,Private,126399,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -40,Private,61287,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,114758,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,45,United-States,<=50K -34,Private,205152,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,325921,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -43,Private,96421,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Outlying-US(Guam-USVI-etc),<=50K -19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -30,Private,227551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,167737,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,191027,Assoc-acdm,12,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,118941,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,122575,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K -32,?,251120,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -25,Private,167835,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K -51,Private,123703,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -17,Private,132680,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,10,United-States,<=50K -46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,190628,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -50,Private,338033,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -18,?,112137,Some-college,10,Never-married,?,Own-child,Other,Female,0,0,20,?,<=50K -36,Self-emp-inc,180477,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,397995,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,179668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,110318,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,184255,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,222248,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -60,Private,145493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,197554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,352812,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -46,Private,135803,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -30,Private,123833,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -73,?,131982,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,5,Vietnam,<=50K -40,Private,236021,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,354962,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -53,Private,698039,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K -43,Self-emp-inc,64048,9th,5,Never-married,Sales,Own-child,White,Female,0,0,44,Portugal,<=50K -54,Federal-gov,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,233194,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -23,?,134997,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K -19,Private,150073,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -33,Private,106976,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,180680,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -53,Private,255927,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K -35,Private,261012,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,100999,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,343403,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K -26,Private,143062,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,352057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -53,Self-emp-not-inc,257940,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,126950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,140854,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -65,Self-emp-inc,157403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -53,?,251804,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -32,Local-gov,257849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,111268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,151868,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,154033,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -28,Federal-gov,214858,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -20,Private,369677,10th,6,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -17,Private,317702,9th,5,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,201680,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,130760,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-inc,98360,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,157078,10th,6,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,236415,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -57,Private,222477,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,8,United-States,>50K -44,Private,164043,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,191712,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -19,Private,107405,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,226010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -31,Local-gov,168740,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -52,Private,78012,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,1762,40,United-States,<=50K -46,Local-gov,32290,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,193416,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -40,Local-gov,101795,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K -35,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,415354,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,State-gov,139091,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -47,State-gov,156417,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K -19,Private,192453,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -42,Private,40151,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,68302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,75417,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -52,Private,117700,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,169672,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,256956,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,171589,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -22,Private,190483,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,48,Iran,<=50K -35,Private,170617,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K -43,Private,177054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,236999,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -71,Private,124901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,40165,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Japan,<=50K -39,Private,74194,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -33,Self-emp-not-inc,108438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,167918,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K -36,Private,398575,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -67,?,81761,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,239284,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,State-gov,175044,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,168723,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,91928,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -45,Local-gov,255559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,116520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,179641,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -21,?,183945,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,220066,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K -45,Private,99355,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -37,Self-emp-inc,26698,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,44,United-States,>50K -29,Private,145182,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K -31,Private,161153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,246431,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,585203,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K -63,Private,237620,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,129275,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,61343,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,181659,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -51,Local-gov,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -46,Private,325372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,142766,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,18,United-States,<=50K -40,Private,168538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -23,Private,234791,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -30,State-gov,112139,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,47343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -20,Private,219835,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,16,United-States,<=50K -22,Private,48347,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,178120,5th-6th,3,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K -51,Self-emp-not-inc,246820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,48,United-States,>50K -40,Private,331651,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Local-gov,326283,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -36,Private,298635,Bachelors,13,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Iran,>50K -50,Private,170326,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,145574,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,60,United-States,>50K -20,Self-emp-inc,182200,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,171538,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -70,Private,280307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K -57,Self-emp-not-inc,275943,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -28,Private,221366,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -75,Private,186808,11th,7,Married-civ-spouse,Protective-serv,Husband,Black,Male,6418,0,50,United-States,>50K -56,Private,193622,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,?,224421,Some-college,10,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,202570,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K -35,Self-emp-inc,184655,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K -58,Self-emp-not-inc,200316,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,340797,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -21,Local-gov,402230,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,36,United-States,<=50K -38,Private,105503,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,192325,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K -40,Private,135384,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,194436,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,74500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,252752,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,105936,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -23,Private,113511,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,236731,1st-4th,2,Separated,Exec-managerial,Not-in-family,White,Male,0,0,25,?,<=50K -60,Private,96099,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4101,0,60,United-States,<=50K -35,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -40,?,438427,Assoc-acdm,12,Separated,?,Unmarried,Black,Female,0,0,55,United-States,<=50K -41,Private,428499,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K -47,Private,236805,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -40,Self-emp-not-inc,177810,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -60,Private,156616,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,State-gov,378916,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,226505,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,46,United-States,>50K -45,Private,102096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -32,Private,213750,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,111567,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,220066,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Local-gov,256923,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -51,State-gov,108037,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,171467,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,48,United-States,>50K -53,Private,201127,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -30,Private,85374,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Local-gov,192213,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K -62,Local-gov,76720,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,209320,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,261023,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Private,75012,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,140001,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,El-Salvador,<=50K -43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -48,Private,59159,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,137367,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -30,Private,26252,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,210313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Guatemala,<=50K -18,Private,98667,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -57,Private,361324,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K -51,Private,123429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -17,Private,211870,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,6,United-States,<=50K -28,Private,205903,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,204046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,359131,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Self-emp-not-inc,130126,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,236599,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Local-gov,159755,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,219483,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,189664,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,?,95636,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,106551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,102690,11th,7,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -23,Private,120773,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,122975,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,21,Trinadad&Tobago,<=50K -56,Private,198388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,274657,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3908,0,40,United-States,<=50K -42,Private,199900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -39,Private,150057,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -24,Private,192812,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,138852,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,348618,5th-6th,3,Married-spouse-absent,Transport-moving,Unmarried,Other,Male,0,0,20,El-Salvador,<=50K -48,Private,95244,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -39,Private,316211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Self-emp-not-inc,24504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -56,Self-emp-not-inc,174564,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Private,59380,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -62,Private,416829,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K -32,Local-gov,29235,Some-college,10,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,France,>50K -32,Local-gov,118457,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -41,Self-emp-not-inc,195124,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,?,<=50K -58,Private,115605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -78,Private,135692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,219962,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,192200,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -52,State-gov,125796,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1848,40,United-States,>50K -24,Private,346909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K -30,Private,149531,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,231286,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,15,United-States,<=50K -45,Private,513660,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,238381,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,8614,0,40,United-States,>50K -29,Private,351324,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,106698,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,13550,0,60,United-States,>50K -56,Federal-gov,156842,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,165484,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K -45,Private,81132,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -42,Private,67243,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,Portugal,>50K -28,Private,25684,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,238186,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,2057,48,United-States,<=50K -30,Private,131425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,430930,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,6,United-States,<=50K -17,Private,166242,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,367533,10th,6,Married-civ-spouse,Craft-repair,Own-child,Other,Male,0,0,43,United-States,>50K -34,Private,226629,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -38,Private,135416,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Local-gov,222800,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,254293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,45,United-States,<=50K -68,Private,191581,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K -50,Private,138022,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,134768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -25,Private,512771,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,221947,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -37,Private,224566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,98881,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K -21,Private,97214,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,133906,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,408229,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K -80,?,156942,1st-4th,2,Separated,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K -30,?,288419,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,186383,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,414166,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K -32,Self-emp-not-inc,220148,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,271354,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K -22,?,335453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -49,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -41,Private,220694,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -39,Private,301568,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,196074,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,312477,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -50,Private,101119,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,376474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -20,?,327462,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,105788,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,>50K -21,Private,157595,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,51150,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,81497,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K -38,Private,33046,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -32,Private,311524,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,38,United-States,<=50K -18,Private,260387,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Cuba,<=50K -56,Private,197369,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,125791,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,244246,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Poland,<=50K -18,Self-emp-not-inc,454950,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Local-gov,186172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -46,Private,94809,Some-college,10,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K -29,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K -18,Private,41381,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1602,20,United-States,<=50K -34,Private,159322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Self-emp-not-inc,257126,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,253814,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,State-gov,190305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Local-gov,242464,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3103,0,40,United-States,>50K -23,Private,219835,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Mexico,<=50K -45,Private,166863,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,State-gov,25045,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,2174,0,37,United-States,<=50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K -42,Private,168103,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,141264,Some-college,10,Never-married,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K -58,Private,354024,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,Private,161075,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,498325,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,278322,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -58,Private,218312,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,228124,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -75,Private,239038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -37,Private,22463,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K -57,Self-emp-not-inc,771836,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,68848,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Private,70995,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,99,United-States,>50K -41,Self-emp-inc,277858,Bachelors,13,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K -26,Private,282142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -33,Local-gov,111817,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,129460,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -18,Private,32244,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,30,United-States,<=50K -41,Private,56651,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,232782,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,212162,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,319768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,France,>50K -54,Local-gov,180427,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -44,Self-emp-inc,49249,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,80,United-States,<=50K -29,Private,160264,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,345420,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K -36,?,94954,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,167031,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K -65,Self-emp-not-inc,99359,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K -20,Local-gov,188950,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K -37,Private,139180,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,151001,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,Mexico,<=50K -37,Private,121772,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -22,Local-gov,273734,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -53,State-gov,116367,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4650,0,40,United-States,<=50K -28,Private,186672,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -32,Self-emp-not-inc,112115,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -29,Private,375078,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K -26,Private,130018,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,32709,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -27,Private,90692,Assoc-voc,11,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -41,?,38434,Masters,14,Married-civ-spouse,?,Wife,White,Female,7688,0,10,United-States,>50K -63,Federal-gov,90393,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -63,Private,30813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,216999,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,375833,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -35,Private,354520,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -42,Private,96115,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,91367,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K -43,Self-emp-not-inc,35236,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,290688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -41,State-gov,29324,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -53,Self-emp-inc,128272,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -45,Self-emp-inc,160440,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -38,Private,278557,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -88,Self-emp-not-inc,206291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -69,Private,137109,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -33,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,189843,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,122612,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K -56,Self-emp-not-inc,67841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,160594,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1564,50,United-States,>50K -54,Private,280292,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K -37,Private,201531,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,181070,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,England,>50K -26,Private,206721,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -20,?,84375,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,<=50K -39,Private,185624,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,345121,10th,6,Separated,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -28,Self-emp-not-inc,123983,Masters,14,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,54,South,<=50K -49,Private,379779,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,137843,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K -43,Private,112607,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,87905,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,10520,0,40,United-States,>50K -22,?,320451,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,24,?,<=50K -51,Private,197189,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,48549,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,>50K -41,Self-emp-not-inc,33474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -48,Federal-gov,42972,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -30,Private,108023,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,199600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -40,State-gov,21189,Bachelors,13,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,32,United-States,<=50K -55,Private,142020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,236013,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -44,Local-gov,145522,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,175266,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,182437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -25,Private,169905,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -19,Private,249787,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -23,Private,287988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,?,45613,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,217379,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,191777,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -31,Private,284395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,170769,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,357596,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,206827,Some-college,10,Never-married,Sales,Own-child,White,Female,5060,0,30,United-States,<=50K -40,Private,266803,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,Canada,>50K -64,Local-gov,50442,9th,5,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,40,United-States,<=50K -53,Private,48343,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K -29,Federal-gov,196912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Local-gov,345779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -28,Private,330466,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -43,State-gov,187802,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K -63,Private,301108,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,22,United-States,<=50K -59,Local-gov,171328,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -23,Private,283092,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,Jamaica,<=50K -34,Private,203034,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,2824,50,United-States,>50K -41,Self-emp-not-inc,49572,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -53,Private,55139,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,10,United-States,<=50K -75,Private,71385,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,115187,Assoc-voc,11,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,123515,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,228265,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -50,Private,398625,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,119079,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,290560,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,195686,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,454717,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,509048,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,37,United-States,<=50K -35,Private,255635,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -49,Private,291783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,334783,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,223319,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -39,Private,209397,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Federal-gov,69614,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -23,Private,172232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,137707,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -42,Private,201495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,101593,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,42,United-States,<=50K -53,Private,198824,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,261241,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,50,United-States,<=50K -26,Private,211231,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -21,?,204226,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -44,State-gov,321824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -56,Private,258579,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,165937,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -25,Private,184120,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,State-gov,182556,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,45,United-States,>50K -66,?,260111,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -35,Private,49749,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -22,Private,130724,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -28,Private,124685,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K -32,Private,40142,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,135521,Assoc-voc,11,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,United-States,<=50K -21,Private,296158,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -43,Private,124919,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -32,Private,387270,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -31,Private,250087,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,214695,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,165815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,?,473206,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,32,United-States,<=50K -55,Private,236520,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,77313,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -46,Private,118419,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,38,United-States,<=50K -61,Private,181219,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K -36,State-gov,28572,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K -37,State-gov,373699,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -28,Private,154236,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2597,0,40,United-States,<=50K -52,Private,49243,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,237386,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -35,Private,179481,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,55,United-States,<=50K -36,Private,321760,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -31,Private,54341,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -55,?,316027,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K -27,Private,131679,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,218172,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -39,Private,269168,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -34,Private,186346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,200136,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,200117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,187703,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Male,0,0,40,Guatemala,<=50K -33,Private,121195,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,50,United-States,<=50K -63,Private,195338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -32,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -40,Private,183096,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,198759,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,164488,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,10,United-States,<=50K -59,Private,135647,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,204984,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,40,United-States,<=50K -42,Self-emp-inc,130126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -31,Self-emp-inc,183125,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,99,United-States,>50K -18,?,201299,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,446559,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -26,Private,104045,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,567788,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -32,Private,176185,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,40,United-States,>50K -65,Private,330144,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,43909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Federal-gov,88876,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K -27,Private,212041,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,363405,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,50,United-States,>50K -17,Private,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,17,United-States,<=50K -17,Private,108273,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -34,Private,184833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,50,United-States,<=50K -38,Private,141550,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,71076,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -64,State-gov,550848,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,191834,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -61,Private,353031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,240763,11th,7,Divorced,Transport-moving,Own-child,Black,Male,0,0,45,United-States,<=50K -25,Private,149875,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,173944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,140516,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -18,Private,127388,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -31,Local-gov,188798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,245628,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,Mexico,<=50K -22,Private,153516,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,175738,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -40,Private,169885,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,121470,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,10,?,<=50K -25,Private,81286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,460046,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -58,Self-emp-not-inc,25124,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2377,65,United-States,<=50K -41,Private,49156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,180522,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K -39,Private,30529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,140206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,81487,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K -19,Private,194608,9th,5,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,210626,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,188246,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -63,Self-emp-not-inc,271550,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,365411,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -41,Private,122215,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -39,Private,291665,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4508,0,24,United-States,<=50K -45,Self-emp-not-inc,138962,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,72,?,<=50K -47,Private,363418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,England,>50K -36,Local-gov,322770,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,40,Jamaica,>50K -29,Private,457402,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K -19,Private,456736,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -61,Self-emp-inc,134768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -38,Private,99065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K -59,Self-emp-not-inc,172618,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,243190,Assoc-acdm,12,Separated,Craft-repair,Unmarried,Asian-Pac-Islander,Male,8614,0,40,United-States,>50K -35,Private,297767,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,287681,11th,7,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,Private,196816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -39,Private,509060,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,79160,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,432480,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,?,192773,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -23,Private,61777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K -40,Self-emp-not-inc,123306,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,48588,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,140581,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,216181,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -33,Private,234537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,168138,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,22502,7th-8th,4,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -34,Private,31752,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,?,<=50K -32,Private,244147,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,10,United-States,<=50K -68,Private,156000,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -55,Private,329797,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,167476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K -30,Local-gov,48542,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,143540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,228686,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,130779,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,168283,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,>50K -32,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -67,?,244122,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K -45,Private,203653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,40,United-States,>50K -53,Local-gov,216691,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K -67,Private,49401,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -44,Private,84141,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -52,Self-emp-inc,81436,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,191291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,230292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,171754,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K -18,Private,227529,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -34,Private,302570,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K -17,?,54978,7th-8th,4,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -39,Self-emp-inc,202937,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -35,?,317780,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Local-gov,190561,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,30,United-States,<=50K -73,?,90557,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -31,Private,113708,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,159869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K -31,Private,200246,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -88,Private,30102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1816,50,?,<=50K -35,Federal-gov,153633,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,344415,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K -19,Private,201178,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,199599,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,239755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -60,Private,197311,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,99,United-States,<=50K -53,Local-gov,99064,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,145628,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,272209,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,99,United-States,<=50K -33,Private,137310,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,?,<=50K -32,Private,73621,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -60,Self-emp-not-inc,123190,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K -27,Private,213842,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -21,?,170272,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -27,Private,298871,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -48,Private,99385,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,234640,HS-grad,9,Married-spouse-absent,Sales,Own-child,White,Female,0,0,36,United-States,<=50K -30,Private,156718,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,355569,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -42,Private,278926,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,121904,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -52,State-gov,349795,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -66,?,194480,11th,7,Married-civ-spouse,?,Husband,White,Male,0,2377,2,United-States,>50K -44,Private,172364,1st-4th,2,Married-civ-spouse,Transport-moving,Wife,White,Female,3908,0,60,United-States,<=50K -25,Private,367306,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,210673,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,Private,186824,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,77698,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,217530,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -67,?,34122,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,106544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,359131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,8,?,>50K -29,Federal-gov,339002,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,183891,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Local-gov,363032,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,315081,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -62,Private,254534,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,179671,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,52603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,197484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,79662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,148903,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,181065,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,141288,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,143482,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K -47,Private,123425,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,41,United-States,<=50K -47,Private,201595,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,170877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -57,Private,41762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K -73,Self-emp-inc,191540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-not-inc,134768,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,362654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -39,Federal-gov,232036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,242391,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -46,Private,170338,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,128478,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -43,State-gov,260960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,257758,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,327079,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,178417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -51,Private,279452,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Mexico,<=50K -31,Self-emp-inc,113530,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,State-gov,214985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,200949,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K -66,Self-emp-inc,220543,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Federal-gov,327435,Masters,14,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K -64,Private,301352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,195721,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,129865,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,142712,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,326048,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Male,0,0,44,United-States,<=50K -17,Private,91141,10th,6,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -47,Private,100931,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,112271,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,247090,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,55,United-States,<=50K -50,Private,234037,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,58,United-States,<=50K -33,Private,30612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,240504,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,82504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,106092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,156015,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,?,211553,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -62,Federal-gov,125155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -61,Private,238611,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -21,State-gov,39236,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Local-gov,185647,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,128796,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -51,Local-gov,259646,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,293579,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -57,Federal-gov,370890,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K -49,Private,83610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,66,United-States,>50K -52,Local-gov,230095,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -57,Private,257200,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,176240,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -48,Private,48885,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,158156,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,42,United-States,<=50K -23,Private,205865,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,28,United-States,<=50K -28,State-gov,140239,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -37,State-gov,211286,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Private,250038,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -60,?,141580,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,652784,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,119471,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,56,Philippines,>50K -21,Private,120326,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,290208,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,135791,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,50,Cuba,>50K -31,Private,119033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,394927,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -27,Private,181822,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,195000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -23,?,27415,11th,7,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,133515,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -45,Private,102288,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -76,?,224680,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,1258,20,United-States,<=50K -35,Private,341643,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K -64,?,80392,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -31,Private,19491,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,State-gov,150083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -21,Private,152389,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -32,Federal-gov,86150,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1977,40,United-States,>50K -34,Private,127651,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,44,?,<=50K -19,Private,93604,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,1602,32,United-States,<=50K -69,?,148694,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,168191,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Italy,<=50K -71,Private,180117,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,295289,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -26,Private,177929,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Self-emp-not-inc,241895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -42,Private,231832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,>50K -41,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -23,Private,208238,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,340432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,311350,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,94113,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,48099,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,149337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,37274,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,59792,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -22,Private,361608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,112564,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K -50,Self-emp-not-inc,192654,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -49,Private,360491,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,103408,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -45,Private,100651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K -75,Private,100301,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -34,Private,344073,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Local-gov,158291,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,8614,0,40,United-States,>50K -34,Local-gov,35683,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K -26,Private,211695,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,199193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -59,Local-gov,53612,Masters,14,Separated,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K -24,Private,282202,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -19,Private,393712,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,40666,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,<=50K -28,Private,106141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -57,?,366563,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,194458,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,129806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,229051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -62,Self-emp-not-inc,162245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -46,Private,219021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,44,United-States,>50K -74,Private,322789,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1411,40,United-States,<=50K -36,?,224886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,188949,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,55360,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,368014,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -50,Private,211654,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,State-gov,105804,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,23686,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,>50K -37,Private,139770,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,316271,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,100375,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,?,302229,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K -31,Private,131568,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,State-gov,228446,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,90230,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,241350,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -29,Private,245402,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K -54,Self-emp-not-inc,109418,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,35,United-States,>50K -38,Private,196123,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,State-gov,153534,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,24106,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,26669,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K -38,Self-emp-inc,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Private,109089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -21,?,180339,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,172025,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -34,Private,255693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -18,Private,108501,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -57,Local-gov,110417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -28,Private,149624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,83413,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -49,?,178215,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,28,United-States,<=50K -52,?,159755,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -18,Private,240330,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -53,Private,126386,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,108435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,?,121135,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,196673,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K -58,Private,372181,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -36,Private,297449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,207923,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -61,Private,147845,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,31,United-States,<=50K -52,Private,191529,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Local-gov,189614,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,132327,Some-college,10,Married-spouse-absent,Sales,Unmarried,Other,Female,0,0,30,Ecuador,<=50K -25,Private,53903,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,172538,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,414812,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,403107,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -35,Private,52738,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -28,Private,236834,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,Mexico,<=50K -22,Private,109815,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,644278,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -62,?,178764,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,405083,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,293691,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1590,40,Japan,<=50K -64,Private,45776,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1762,79,United-States,<=50K -18,Private,85508,12th,8,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -32,Private,149368,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,133861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,48,United-States,>50K -45,Private,51744,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K -38,Private,79619,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -21,State-gov,311311,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K -68,Self-emp-not-inc,195881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,40,United-States,<=50K -23,Private,60409,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,111483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2174,10,United-States,>50K -43,Private,238287,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Private,134789,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,155961,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -42,State-gov,117583,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,60,United-States,>50K -19,Private,28119,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K -30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -60,Private,117909,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -25,Federal-gov,366207,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,81846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -23,Private,168997,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,69525,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,20,United-States,<=50K -20,Private,133061,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,163110,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Local-gov,166497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K -60,Private,198170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,189916,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K -39,Private,250157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,<=50K -17,Private,218124,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,404616,Masters,14,Married-civ-spouse,Farming-fishing,Not-in-family,White,Male,0,0,99,United-States,>50K -46,Federal-gov,190729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,283796,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,30,Mexico,<=50K -29,Private,194402,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K -22,Private,263670,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,80,United-States,<=50K -29,Private,87632,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,347653,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K -75,?,125784,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -31,Self-emp-not-inc,312055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -28,Private,110981,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,187901,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K -28,Private,197905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,204567,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -43,Private,191814,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -19,Private,271118,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K -42,Private,212760,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -48,Private,224393,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -54,Private,227832,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K -40,Private,55191,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,?,108211,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,102110,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K -41,Private,291569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -33,Self-emp-not-inc,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Self-emp-not-inc,123983,Some-college,10,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Male,0,0,63,South,<=50K -39,Private,230054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Private,179271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -42,Private,275677,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -36,Self-emp-inc,108293,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,45,United-States,>50K -48,Private,101684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,167482,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,1980,40,United-States,<=50K -51,Private,120914,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,234901,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,27409,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -56,State-gov,175057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,188644,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,164018,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,50,United-States,<=50K -27,?,95708,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -33,Private,178429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,191547,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -24,Private,345066,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,50,United-States,<=50K -55,Private,181220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,183850,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Federal-gov,143766,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,187479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -54,Private,421561,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,251905,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,386378,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -19,Private,127491,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,266983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -30,Private,115040,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,26,United-States,<=50K -25,Private,176729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,146042,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -57,Private,98350,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K -59,Private,453067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -21,State-gov,155818,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -41,State-gov,244522,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K -30,Private,236993,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -25,Private,176520,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -44,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K -57,Private,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -51,Private,94432,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -65,Federal-gov,200764,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,543922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -34,Local-gov,169708,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -45,Private,205424,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -45,Local-gov,238386,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -51,Private,205884,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -36,Private,297847,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,2001,40,United-States,<=50K -54,Private,123011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -49,Self-emp-inc,86701,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K -23,Private,293565,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,149018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,303212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,375114,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,341995,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K -32,Private,402089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K -48,Private,82008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -76,Self-emp-not-inc,130585,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K -25,Private,338013,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,State-gov,221558,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,24,?,<=50K -20,?,25139,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,390348,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,274724,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -20,Private,218962,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,80574,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Private,123490,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -54,Private,235693,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,274010,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,213310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,169037,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,48,United-States,<=50K -65,State-gov,172348,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -33,Private,191856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,150566,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -34,Local-gov,210164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -23,Private,53245,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1602,12,United-States,<=50K -17,Private,197732,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -38,Private,216319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -36,Self-emp-inc,213008,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Local-gov,116892,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,?,177812,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Local-gov,27382,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,231342,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,32,United-States,<=50K -24,Private,127753,12th,8,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,82622,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -53,Private,76128,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,60,Ecuador,<=50K -62,Federal-gov,223163,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,67433,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -24,Private,154422,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -32,Private,157747,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,330087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,34178,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,271464,Masters,14,Separated,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,Private,162238,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -54,?,148657,Preschool,1,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -30,Private,80625,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Federal-gov,422013,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,3683,40,United-States,<=50K -54,Private,378747,10th,6,Separated,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K -51,Private,95329,Masters,14,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -67,Private,174693,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K -56,Private,160932,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -20,Private,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,74182,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,353012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -55,Private,143266,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,25,United-States,<=50K -25,Private,191782,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -18,Private,220836,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,19302,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2202,0,38,United-States,<=50K -34,State-gov,377017,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,324284,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,294183,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,337065,7th-8th,4,Divorced,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -55,Private,112529,5th-6th,3,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Private,94892,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,185556,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -48,Private,193775,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,38,United-States,>50K -50,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,70943,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -50,Private,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -27,State-gov,234135,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,193374,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -36,Self-emp-not-inc,138940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -49,Private,122177,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,80,United-States,<=50K -18,Private,165316,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,37088,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,306361,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -62,Private,370881,Assoc-acdm,12,Widowed,Other-service,Not-in-family,White,Female,0,0,7,United-States,<=50K -56,Local-gov,255406,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,478373,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,373545,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,207889,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,116143,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,44,United-States,>50K -23,Private,124971,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,61956,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Federal-gov,165630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -42,Self-emp-not-inc,174216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -26,Private,39014,12th,8,Married-civ-spouse,Priv-house-serv,Wife,Other,Female,0,0,40,Dominican-Republic,<=50K -61,?,113544,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K -36,Private,309122,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -35,Private,106028,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -46,Local-gov,93639,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -68,Local-gov,144761,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,1668,20,United-States,<=50K -28,Private,46322,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K -26,?,256141,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,315406,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K -36,Self-emp-not-inc,294672,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,136419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -24,Private,300275,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,State-gov,29145,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,135056,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,38,United-States,>50K -18,Private,36251,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -40,Private,84801,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,199883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Local-gov,335005,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Italy,<=50K -41,Private,235167,5th-6th,3,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,32,Mexico,<=50K -39,Private,388023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -64,?,196288,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,197462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,42596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -62,Local-gov,103344,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Local-gov,174564,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,?,132930,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,>50K -32,Local-gov,178109,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K -42,Private,132481,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K -50,Private,197322,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Private,139850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -35,Private,106448,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,302945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,Thailand,<=50K -23,Private,212617,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,66,Ecuador,<=50K -39,Private,177140,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -22,Private,218415,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -52,?,121942,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,336969,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,El-Salvador,<=50K -47,Private,103757,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,164488,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -46,Private,151107,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,1977,60,United-States,>50K -47,?,215620,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -54,State-gov,166774,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -24,Private,199426,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -48,Local-gov,328610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -25,Private,173062,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -24,Private,263498,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,59306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,229967,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K -28,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,386585,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K -53,Private,276515,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,Cuba,<=50K -30,State-gov,185384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -22,Private,216129,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,174533,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -23,Private,179413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,174353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -57,Private,185072,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -18,Private,146225,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -39,Private,312271,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,217235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -40,Private,235523,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,212622,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,190621,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,55,United-States,<=50K -42,Private,145178,HS-grad,9,Separated,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -17,Private,89821,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -32,Private,209432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,126668,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K -75,?,222789,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -23,Private,185452,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,Canada,<=50K -44,?,91949,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,68330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -63,Self-emp-not-inc,52144,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Private,270147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -19,Private,354104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -90,Self-emp-not-inc,83601,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K -19,?,217769,Some-college,10,Never-married,?,Own-child,White,Female,594,0,10,United-States,<=50K -36,Private,103323,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K -34,Local-gov,112680,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Private,89559,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K -33,Private,261639,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,4064,0,40,United-States,<=50K -23,Private,217961,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,Outlying-US(Guam-USVI-etc),<=50K -29,Private,193932,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,421065,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -46,Private,140782,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -64,Self-emp-not-inc,352712,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -47,Private,481987,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -56,Local-gov,277203,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -53,Private,117496,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,36,Canada,<=50K -38,State-gov,49115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K -64,Private,271559,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,30,Columbia,<=50K -64,Private,164204,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,?,<=50K -58,Private,195878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,Cuba,<=50K -42,Self-emp-not-inc,34722,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,141332,11th,7,Never-married,Sales,Own-child,Black,Male,0,0,8,United-States,<=50K -37,Private,66686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,223212,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -41,Local-gov,129060,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,236769,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K -27,Private,164170,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,20,Philippines,<=50K -31,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,South,<=50K -28,Private,55360,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,397962,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -27,Private,409246,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -26,Private,171114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,201700,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,323139,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -22,Local-gov,117789,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -36,Private,135293,Masters,14,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Self-emp-inc,235847,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K -25,Private,179599,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -18,Private,193290,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K -70,Private,210673,10th,6,Widowed,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -50,Private,558490,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,291979,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -60,Private,175273,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,159770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -17,Private,52486,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -36,Private,98389,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -26,Private,155752,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,209301,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -21,Private,90935,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,29662,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,>50K -42,Private,142424,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,153542,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,35,United-States,<=50K -71,?,100820,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2489,15,United-States,<=50K -27,Private,209443,Bachelors,13,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,25955,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -25,Local-gov,63996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Local-gov,169104,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -20,?,298155,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,191681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,182423,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,Private,348416,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,99184,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,221172,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -34,Self-emp-inc,353927,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,?,303121,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -66,Private,123484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,77146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -64,Private,170645,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K -18,Private,161063,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,20953,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -45,Self-emp-not-inc,271828,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,64922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -72,Private,497280,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -43,Private,219424,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,>50K -41,Local-gov,39581,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,4101,0,40,United-States,<=50K -27,?,214695,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -34,Private,176117,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -28,Private,163265,9th,5,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,United-States,<=50K -43,Federal-gov,95902,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -27,Local-gov,223529,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,United-States,<=50K -18,Private,168514,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -43,Private,174748,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,7430,0,45,United-States,>50K -61,Private,73809,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,176279,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,535852,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K -18,Private,111019,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -18,Local-gov,283342,10th,6,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Private,202117,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -36,Private,152621,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -23,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K -34,Private,245211,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2036,0,30,United-States,<=50K -21,Private,82847,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -49,Private,182752,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,160323,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,235722,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,State-gov,241854,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -39,Private,107991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Federal-gov,219137,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,320465,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Local-gov,183000,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,264351,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,Ecuador,<=50K -28,Self-emp-not-inc,107236,12th,8,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,316470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,<=50K -29,Private,209934,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -76,Self-emp-not-inc,225964,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,8,United-States,<=50K -57,Self-emp-not-inc,256630,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,Canada,>50K -41,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,94081,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,234976,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -51,Self-emp-not-inc,24790,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -30,Private,101345,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,34248,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,110015,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Greece,<=50K -56,Private,287833,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -28,Private,30014,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,183620,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,199046,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,119992,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,263398,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,194940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,218957,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,24,?,<=50K -36,Private,43712,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,208613,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,148409,Some-college,10,Never-married,Sales,Other-relative,White,Male,1055,0,20,United-States,<=50K -34,Private,136997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,167501,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,173858,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,42,Cambodia,<=50K -50,Private,226497,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -51,Private,173754,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -59,State-gov,136819,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,>50K -44,Private,169980,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,<=50K -41,Local-gov,175149,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,38,United-States,<=50K -31,State-gov,157673,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,302661,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Male,13550,0,40,United-States,>50K -36,Private,182863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -49,State-gov,189762,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,57781,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -35,State-gov,318891,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,207066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -32,Private,174215,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Local-gov,97064,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -40,Private,53956,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,219266,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,36,?,<=50K -28,Private,214026,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -80,Self-emp-not-inc,132728,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -39,Private,192664,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,184874,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1151,0,40,United-States,<=50K -37,Private,198492,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,100368,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,27,United-States,<=50K -26,Private,216225,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,>50K -51,Self-emp-not-inc,94432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K -38,Private,48093,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,231284,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K -48,State-gov,44434,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K -63,Private,207385,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -49,Private,56551,9th,5,Divorced,Craft-repair,Unmarried,White,Female,5455,0,45,United-States,<=50K -50,Private,283281,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,129100,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,60,United-States,<=50K -40,Private,224799,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,119156,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -64,Self-emp-inc,213574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,10,United-States,<=50K -32,State-gov,33945,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -76,Self-emp-not-inc,253408,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,32291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -64,Self-emp-not-inc,36960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -19,?,208630,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -40,Private,164663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -22,Private,287988,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,Private,352426,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,60,Mexico,<=50K -46,Private,145290,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,184128,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K -33,Local-gov,319280,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,100135,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,318416,10th,6,Separated,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K -77,?,153113,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,1455,0,25,United-States,<=50K -38,Federal-gov,122493,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,40,United-States,<=50K -23,Private,255685,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K -29,Private,293073,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Self-emp-inc,192251,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,1902,15,United-States,>50K -57,Self-emp-not-inc,56480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,1,United-States,<=50K -62,Private,176811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -44,Private,171722,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K -38,Local-gov,200153,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,156430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,180917,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,33016,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,126204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Private,314209,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Columbia,<=50K -49,State-gov,185800,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,7430,0,40,United-States,>50K -24,Local-gov,137300,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -47,State-gov,216414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,122381,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -70,?,346053,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,?,162667,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -27,Self-emp-inc,113870,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,191628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,193090,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -58,Private,205410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,175232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,355700,Prof-school,15,Married-AF-spouse,Prof-specialty,Wife,White,Female,99999,0,60,United-States,>50K -57,Private,166107,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,?,<=50K -31,Private,169589,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,240081,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,327606,12th,8,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Local-gov,258121,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -25,Private,109112,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,193090,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,205865,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -34,Self-emp-not-inc,59469,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -25,Private,266600,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,3137,0,40,United-States,<=50K -32,Private,79870,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,2597,0,40,Japan,<=50K -43,State-gov,23157,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -36,Local-gov,380614,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Germany,>50K -46,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -72,Private,195184,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,12,Cuba,<=50K -19,Private,167140,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1602,24,United-States,<=50K -41,Self-emp-not-inc,438696,Masters,14,Divorced,Sales,Unmarried,White,Male,0,0,5,United-States,>50K -42,Private,179533,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,131415,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K -67,?,183374,HS-grad,9,Widowed,?,Not-in-family,White,Female,2329,0,15,United-States,<=50K -50,Private,240612,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K -46,Private,83064,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Private,169469,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,60374,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -21,Private,383603,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Private,197038,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,233571,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -34,Private,234537,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,42293,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -61,Private,128230,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,122075,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,113546,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -43,Self-emp-not-inc,170230,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -36,Private,186808,Bachelors,13,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -38,Private,497788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,173630,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,213921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -38,Private,146398,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K -36,Private,286115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,?,34100,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -41,Self-emp-not-inc,57924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,50,United-States,>50K -58,Private,299991,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -43,Local-gov,300099,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K -33,Private,198452,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,5455,0,40,United-States,<=50K -32,Private,178109,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K -33,Self-emp-not-inc,134886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -51,?,147015,Some-college,10,Divorced,?,Not-in-family,Black,Male,0,0,50,United-States,<=50K -32,Local-gov,186784,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,45,United-States,<=50K -49,Private,186078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -54,Local-gov,449172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,637222,12th,8,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -57,Local-gov,44273,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,35032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,131568,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,66,United-States,<=50K -38,Private,374983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,62535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -37,Private,196529,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2354,0,40,?,<=50K -32,Private,224462,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K -37,Private,222450,11th,7,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -23,Private,131275,HS-grad,9,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Private,320077,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -17,?,280670,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,336440,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,341346,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,183061,HS-grad,9,Never-married,Farming-fishing,Own-child,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -64,Federal-gov,353479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,>50K -42,Federal-gov,294431,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,213105,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,>50K -33,Private,152744,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,214008,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -56,Private,182142,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,140363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K -37,Private,203828,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Private,328525,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2414,0,15,United-States,<=50K -29,Private,199116,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -23,Private,528616,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -39,Self-emp-inc,239755,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -41,Private,135823,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,144071,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,418020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,108933,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -21,Private,186314,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,225978,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,318647,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,339814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,235556,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K -21,Private,149224,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,137363,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,198196,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,?,258872,11th,7,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -48,Self-emp-inc,26145,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -33,Private,130215,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,35,?,<=50K -49,Local-gov,78859,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,323,20,United-States,<=50K -60,Self-emp-not-inc,54614,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,180758,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,186539,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K -41,Private,163287,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -45,Self-emp-not-inc,298130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -48,Private,119565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,44694,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -34,Private,134737,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,100828,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,312017,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,130652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,96129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -55,Private,290124,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -52,Private,61735,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,242150,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,123343,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -51,Private,177727,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -18,Private,141363,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,?,125659,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K -40,Private,121466,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,27227,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1977,35,United-States,>50K -23,Local-gov,212856,Assoc-acdm,12,Never-married,Protective-serv,Own-child,Black,Female,0,0,35,United-States,<=50K -51,Local-gov,186416,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,346341,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Private,193882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,168901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -25,Private,109609,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Private,84306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K -30,Private,109282,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,316183,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,241185,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -65,Self-emp-not-inc,326936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,384248,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K -35,Private,306678,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -19,Private,263568,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,35,United-States,<=50K -45,Private,182655,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,45,?,>50K -23,Private,199452,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -40,Private,29393,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -65,Private,105491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -38,?,94559,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,7688,0,50,?,>50K -21,State-gov,48121,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,1602,10,United-States,<=50K -51,Private,320513,7th-8th,4,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,50,Dominican-Republic,<=50K -39,Self-emp-not-inc,222204,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,3325,0,40,United-States,<=50K -62,?,190873,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -56,Private,235205,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,207201,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -25,Private,187502,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,24,United-States,<=50K -55,Private,217802,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,25,United-States,<=50K -31,Private,234387,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,168038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -31,Private,197058,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2597,0,45,United-States,<=50K -35,Federal-gov,207973,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Canada,<=50K -21,?,140012,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,251603,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,364548,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K -40,Private,32214,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,472807,1st-4th,2,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,52,Mexico,<=50K -37,Private,191342,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -42,Private,143208,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K -52,Private,166419,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -27,Private,380560,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -45,Private,288437,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,4064,0,40,United-States,<=50K -47,Private,159389,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,199947,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -22,?,174626,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,231287,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,97405,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,225272,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -35,Local-gov,103260,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -31,Private,403468,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,50,Mexico,<=50K -24,State-gov,215797,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,234755,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -60,Private,193235,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K -22,Private,62865,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,129528,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,83444,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,62546,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,208103,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -18,Private,334026,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,193285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,333305,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K -45,Private,192360,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -53,Self-emp-not-inc,284329,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -24,Private,183594,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,113550,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,591711,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,48,?,<=50K -35,Self-emp-not-inc,112271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,175387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,40,United-States,<=50K -22,Self-emp-inc,40767,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,101825,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K -25,Local-gov,334133,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -73,Self-emp-not-inc,110102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,1668,77,United-States,<=50K -19,?,166018,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,136331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -71,Self-emp-not-inc,401203,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,>50K -25,Private,28520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,137223,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,164970,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,38,United-States,<=50K -53,Private,182855,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -29,Private,201454,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,183765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K -28,Self-emp-not-inc,182826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,161087,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K -48,Private,355978,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -75,Private,207116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,231043,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,45,United-States,<=50K -25,Private,206600,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K -54,Private,153486,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,>50K -43,Private,190044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,161463,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,166929,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,?,>50K -36,Private,355053,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K -47,Private,189143,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,182521,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,15020,0,35,United-States,>50K -50,Private,135102,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -31,Private,241797,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Local-gov,176671,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -47,Private,95680,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -51,Private,210736,10th,6,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Local-gov,147206,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -22,?,219941,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,156728,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,89154,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -31,Private,217460,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -51,Private,209912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -38,Private,165930,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -54,Private,169182,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,Puerto-Rico,<=50K -18,Private,302712,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,?,26671,HS-grad,9,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,Private,232356,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,55,United-States,<=50K -35,Private,129573,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -32,Private,231263,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,47353,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -20,?,293091,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,236391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,Private,103789,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K -32,Private,204567,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -25,Private,176981,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,329301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -25,Private,356344,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,220678,5th-6th,3,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K -24,Private,186495,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -32,Federal-gov,164707,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -20,Private,243878,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,260082,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,<=50K -52,Self-emp-not-inc,44728,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -26,Private,269168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,251240,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -53,Private,126592,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K -24,Private,374253,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -42,Private,153160,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,104439,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,Private,118993,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K -57,Private,262642,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,120238,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,171351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -58,?,147653,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K -56,Private,47392,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -56,Private,329654,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,7688,0,50,United-States,>50K -57,Private,106910,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,289889,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,76612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -42,State-gov,104663,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,>50K -25,Private,64671,1st-4th,2,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -21,Private,350001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,49325,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -43,Private,190786,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -32,?,199046,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,2,United-States,<=50K -60,Private,160625,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -19,Private,37688,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -55,Private,248841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -46,Private,383384,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,52098,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,222989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -40,Private,34178,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -22,Private,33551,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,274690,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,118001,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,123253,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -50,Private,275181,5th-6th,3,Divorced,Other-service,Not-in-family,White,Male,0,0,37,Cuba,<=50K -51,Self-emp-not-inc,149220,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -49,Private,90579,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,5013,0,50,United-States,<=50K -28,Private,115677,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K -53,Local-gov,204397,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,224424,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,141807,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K -17,Private,285169,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,155961,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,35,Jamaica,<=50K -41,Private,99254,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -24,?,32616,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,26892,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,271343,Some-college,10,Separated,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K -30,Private,178841,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,236861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -50,Private,304260,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -72,Private,98035,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -39,Local-gov,86643,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -57,Federal-gov,414994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,232855,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K -32,Federal-gov,82393,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K -47,Private,264052,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -51,Private,105788,5th-6th,3,Separated,Other-service,Unmarried,Black,Female,0,0,40,Scotland,<=50K -64,?,380687,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,8,United-States,<=50K -53,Private,68898,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -22,?,110622,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,Taiwan,<=50K -40,Self-emp-inc,248476,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,243842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,169388,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -39,Private,168894,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -48,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -38,Private,190759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -29,Private,37933,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,415051,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -43,Private,187164,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,157954,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,210940,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2002,45,United-States,<=50K -35,Private,197365,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,224584,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,363707,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,181657,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,332355,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,163229,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,75235,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -41,Private,230961,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,168660,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,137320,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -42,Private,172641,7th-8th,4,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,189792,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,195571,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -24,Private,314165,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,177633,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -39,Private,146091,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -23,Private,240398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,15,United-States,<=50K -26,Private,261203,7th-8th,4,Never-married,Other-service,Unmarried,Other,Female,0,0,30,?,<=50K -32,Private,97723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -20,Private,237305,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,35,United-States,<=50K -18,Private,198616,12th,8,Never-married,Craft-repair,Own-child,White,Male,594,0,20,United-States,<=50K -37,Federal-gov,289653,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,96299,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,?,297054,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,?,129632,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -24,Private,254767,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K -51,Private,96062,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -51,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -20,Local-gov,186213,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,United-States,<=50K -38,State-gov,108293,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,123945,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Self-emp-inc,178510,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,2258,60,United-States,<=50K -41,Private,170230,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -25,Private,161027,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K -21,Private,305423,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,207685,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,3908,0,40,United-States,<=50K -38,Private,131461,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,24,Haiti,<=50K -50,Private,20795,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -50,Private,248619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,101926,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -27,Private,147340,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,255847,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -57,Private,175942,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,617898,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,201817,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,81853,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -19,Private,197384,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -48,Private,160220,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -64,State-gov,107732,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,45,Columbia,<=50K -49,Private,186256,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,222490,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,208406,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,214881,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,287008,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,>50K -37,Private,151835,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -36,Private,188834,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,206250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,156192,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Self-emp-not-inc,136309,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,334421,Prof-school,15,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,1590,25,China,<=50K -39,?,204756,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -47,Self-emp-not-inc,236111,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,55,United-States,>50K -18,Private,228592,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,18,United-States,<=50K -26,Private,183224,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -19,Private,162954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,188161,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Local-gov,211032,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -18,Private,261714,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -38,Private,200220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,?,182117,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,188793,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,35,United-States,<=50K -29,Private,173944,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,210844,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K -26,Private,50053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -17,Private,121037,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,279996,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -33,Self-emp-not-inc,361497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,78104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -61,Private,40269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,State-gov,267581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,152909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -33,Private,188661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,158688,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,46015,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,89073,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,77698,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -38,?,129150,10th,6,Separated,?,Own-child,White,Male,0,0,35,United-States,<=50K -39,Private,202950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,107882,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K -28,Self-emp-not-inc,51461,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,149700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -32,Private,172714,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -66,Local-gov,157942,HS-grad,9,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,112494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,185366,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -48,Private,121124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,85799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,132139,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,345285,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -44,Local-gov,210527,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,300773,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -24,Private,177287,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -39,Private,79586,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,35,India,>50K -45,Private,433665,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -20,Local-gov,87467,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,18,United-States,<=50K -44,Private,402718,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -18,Private,193166,9th,5,Never-married,Sales,Own-child,White,Female,0,0,42,United-States,<=50K -26,Private,289980,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K -41,Private,109762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,176716,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -26,Private,190040,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,36556,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,137304,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Private,70209,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Private,177125,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,202989,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -29,Private,82393,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K -41,Private,204410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,44,United-States,>50K -38,Private,195025,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -22,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -31,Private,329172,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,150975,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -43,Private,74581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -34,Private,183473,HS-grad,9,Divorced,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,50648,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -73,Private,183213,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,60,United-States,>50K -55,Private,49996,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,Private,48120,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,1506,0,40,United-States,<=50K -67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,242804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -19,?,60688,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -28,Private,175262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,116371,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,Local-gov,401134,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,121425,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -31,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -56,Private,139616,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -40,Local-gov,27444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Private,186463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,123809,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,35,United-States,>50K -18,Private,191784,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -49,Self-emp-not-inc,39140,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,586657,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Japan,>50K -33,Self-emp-not-inc,103435,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -29,Local-gov,187649,HS-grad,9,Separated,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -55,Private,401473,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -51,Local-gov,164300,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -45,Private,90758,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Self-emp-not-inc,182752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Iran,<=50K -42,Private,194636,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -51,Private,200576,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,63,United-States,<=50K -30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,200192,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -54,Private,230919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K -17,State-gov,117906,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,182581,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,20,United-States,>50K -33,Private,93056,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,347934,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,49296,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -19,?,98283,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K -42,Private,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Private,266764,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -47,Private,27624,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -44,Self-emp-not-inc,163985,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K -18,Self-emp-not-inc,296090,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,?,<=50K -48,Local-gov,142719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,443858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,169878,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -39,Private,179668,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -20,Private,219262,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,262118,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,Private,170263,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -33,Private,358655,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -31,Private,240771,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K -23,Private,129345,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,307973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,244974,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K -20,Private,205839,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -46,Private,465974,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,172071,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -42,Private,91453,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Local-gov,201099,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,249585,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -40,Private,100451,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,113200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,6,United-States,<=50K -64,Private,237581,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Mexico,>50K -60,Self-emp-not-inc,27886,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,32446,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,195253,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -48,State-gov,106377,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -44,Private,196234,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,55,Dominican-Republic,<=50K -21,Private,129699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,66755,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -24,Private,433580,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,99462,HS-grad,9,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,79586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -31,Private,167319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,152373,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K -61,Self-emp-inc,148577,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -19,Private,269657,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,309463,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,10,United-States,<=50K -20,Private,105312,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Private,187487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -47,Private,359766,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -40,Private,184846,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,40,United-States,>50K -38,Self-emp-not-inc,248929,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,230279,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,169323,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,409815,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,264351,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,174461,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,175674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-inc,107231,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,427952,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,199011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,252646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,322585,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,Private,181652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -25,Private,180212,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,140713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Jamaica,>50K -43,Private,346321,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -40,Self-emp-not-inc,125206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,140516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Federal-gov,159670,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -58,Private,170290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Private,32916,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -26,Private,118736,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -38,Private,320451,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -22,State-gov,24896,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -29,Private,95465,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -67,Local-gov,272587,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,1086,0,15,United-States,<=50K -30,Private,205152,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -19,Private,175652,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,15,United-States,<=50K -32,Private,78283,12th,8,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -52,State-gov,295826,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,50,United-States,<=50K -76,Private,208843,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K -18,Private,56613,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,187551,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -33,Private,165235,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K -51,Private,163921,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K -36,Private,187983,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,112341,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,205407,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,179866,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -46,Private,261059,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,224234,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,170273,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -58,Local-gov,217775,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -18,Private,132986,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -57,Private,173090,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -24,Private,205883,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,153870,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,Private,143299,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,183258,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,215990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,44,United-States,>50K -26,Private,60726,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,341187,7th-8th,4,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -31,Private,197886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -61,Self-emp-not-inc,142988,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,203061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,166549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,204991,Some-college,10,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K -50,Local-gov,173630,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -29,Private,183627,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,26721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -82,Private,132870,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,4356,18,United-States,<=50K -43,Federal-gov,53956,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -28,Private,79874,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -46,Local-gov,102076,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -32,Private,251701,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -55,Private,177380,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,29,United-States,<=50K -67,State-gov,132819,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K -39,Private,139012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -66,Self-emp-not-inc,331960,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,35633,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,218995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -51,Private,914061,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -76,Local-gov,178665,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,273362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,65372,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,161637,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,Taiwan,>50K -36,Private,325374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,385520,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K -31,?,163890,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,177675,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -32,Private,351770,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,23940,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -25,Local-gov,45474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,209276,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K -44,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -30,Private,185177,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,49,United-States,<=50K -42,Private,202083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K -22,Private,211968,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,188644,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,113806,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,?,>50K -32,Private,151773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,229773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,199419,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,95336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -46,Private,233511,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Private,70055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,309895,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,34632,12th,8,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,64292,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K -20,?,195075,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -30,Private,160784,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Self-emp-inc,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -79,?,48574,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,67072,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Private,165848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -41,Private,177305,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -27,Local-gov,225291,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,333108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,187802,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Local-gov,119829,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -55,Federal-gov,176904,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,181091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -64,Private,60940,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,8614,0,50,France,>50K -48,Private,246891,Some-college,10,Widowed,Sales,Unmarried,White,Male,0,0,50,United-States,>50K -72,Private,496538,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,6360,0,40,United-States,<=50K -46,Private,86220,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,177119,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -37,Private,421633,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Private,368476,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,Mexico,<=50K -28,Private,37805,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,35576,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -66,Private,192504,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,159603,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,34,United-States,<=50K -33,Self-emp-inc,289886,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -31,Private,206051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,197756,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -37,State-gov,62428,Some-college,10,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,15,United-States,<=50K -29,Private,53642,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,33124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,91711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -44,Federal-gov,469454,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K -31,Federal-gov,207301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -52,Private,254680,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,99,United-States,<=50K -46,Private,58126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,274363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,200153,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,358677,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,35,United-States,<=50K -43,Private,186188,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,Iran,<=50K -33,Private,276221,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,292303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -73,Private,173047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -19,Private,206546,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -36,Private,254493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -37,Private,110713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,75573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K -36,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -54,Self-emp-not-inc,308087,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -77,Self-emp-not-inc,101575,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,12,United-States,<=50K -27,Private,660870,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -21,Private,54472,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,117363,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Private,213140,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -23,Private,154641,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,315476,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,State-gov,191318,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -61,Private,180632,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,281403,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K -40,Private,37848,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,150533,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,1876,55,United-States,<=50K -51,Private,57698,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,466224,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,234880,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -59,Private,229939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,?,220168,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -29,Private,154017,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K -49,State-gov,216734,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,184493,HS-grad,9,Separated,Handlers-cleaners,Own-child,White,Female,0,1594,25,United-States,<=50K -30,Private,187560,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -67,Local-gov,176931,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -63,Private,172433,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -50,Private,171225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -23,Private,130773,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,250679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,64292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,349986,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,98776,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -40,Private,216237,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -35,Self-emp-inc,64874,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,278530,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,284317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,315974,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,144594,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K -47,Private,138999,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,48,United-States,>50K -46,Private,64563,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K -29,Private,146343,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -41,Private,192712,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -35,State-gov,225385,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,187570,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,390348,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,44,Japan,<=50K -53,Private,177705,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -29,Federal-gov,104917,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -24,Private,234640,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -55,Private,86505,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,327435,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -49,Private,205694,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Canada,<=50K -21,Private,140764,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,45,United-States,<=50K -29,Private,190777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,State-gov,211049,7th-8th,4,Never-married,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K -46,Self-emp-not-inc,165754,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,133454,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,279968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -44,Private,156815,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,144124,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,154981,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -31,Private,133861,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,258298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -18,Private,427437,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Private,158647,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,251346,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,Puerto-Rico,<=50K -81,Private,129338,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K -65,Private,154171,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K -24,Private,307267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Local-gov,175796,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Federal-gov,206392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,136873,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -23,Self-emp-inc,201682,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -73,Private,157248,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -31,Private,118399,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,?,41553,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K -46,Local-gov,200947,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -64,Without-pay,209291,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,>50K -38,Private,180477,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,175990,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -55,Private,327589,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,237943,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -27,Private,200802,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,?,39901,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -54,Self-emp-inc,96460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -36,State-gov,210830,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,431245,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,196791,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K -46,Local-gov,116906,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,2258,35,United-States,<=50K -27,Private,79661,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K -45,Private,473171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Never-worked,237272,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -51,Private,203435,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Local-gov,223267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,216853,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -51,Private,222615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,305304,11th,7,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -46,State-gov,72506,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -34,Private,38223,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,126568,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -17,?,171461,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,143445,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -47,Private,344157,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,111722,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,72,United-States,<=50K -62,Private,216765,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -43,Self-emp-not-inc,176069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,<=50K -62,Self-emp-not-inc,320376,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,48,United-States,<=50K -49,Private,97411,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Laos,<=50K -27,Private,313479,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -59,Private,75541,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,192302,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -59,Private,157305,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -37,Private,758700,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,50,Mexico,<=50K -17,Private,263746,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -50,Private,109277,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -21,Private,154556,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K -63,Private,113324,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,297884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,50,United-States,<=50K -50,Self-emp-not-inc,219420,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,64,United-States,<=50K -38,Private,402522,1st-4th,2,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,Thailand,<=50K -22,Private,324637,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -46,Federal-gov,119890,Assoc-voc,11,Separated,Tech-support,Not-in-family,Other,Female,0,0,30,United-States,<=50K -40,Private,225823,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -68,Private,236943,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,20,United-States,<=50K -18,Private,128086,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K -27,Private,192283,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,38,United-States,<=50K -41,Private,161880,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,50,United-States,<=50K -48,State-gov,185859,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -26,Private,210982,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,114,0,40,United-States,<=50K -50,Private,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -41,Federal-gov,197069,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,4650,0,40,United-States,<=50K -41,Private,203233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,160049,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -48,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,15,United-States,<=50K -19,Private,216413,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,55,United-States,<=50K -54,Private,108435,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -18,Private,83451,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -18,Private,41794,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,91608,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,195688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -65,Local-gov,382245,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,37778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -24,?,243923,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,10,Mexico,<=50K -33,Private,100228,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,190072,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,51979,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -28,Local-gov,163942,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -44,Local-gov,387844,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,?,87867,12th,8,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -67,Federal-gov,44774,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,124751,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,239098,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,175883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,242082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -50,?,174964,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -22,Private,163911,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -69,Private,512992,11th,7,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,<=50K -21,?,262241,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -19,?,208066,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -54,Private,230919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,56248,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -20,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -19,Private,156587,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -57,Self-emp-not-inc,225334,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K -41,Private,205153,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,182574,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,991,0,29,United-States,<=50K -38,Private,81965,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Federal-gov,54684,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,?,<=50K -32,Private,248584,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,186824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,87239,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Private,288216,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Local-gov,166502,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,103513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,54257,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -43,Private,300528,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,296509,7th-8th,4,Separated,Farming-fishing,Not-in-family,White,Male,0,0,45,Mexico,<=50K -23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,162494,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,>50K -38,Private,117528,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K -45,Private,54260,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,183279,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -49,Private,50567,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -39,Private,236648,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,42,United-States,>50K -44,Private,167005,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -34,Self-emp-not-inc,304622,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -30,Private,167558,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,Mexico,<=50K -23,Private,197200,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -61,Self-emp-not-inc,268797,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,17,United-States,<=50K -41,Private,171615,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,211160,12th,8,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,153685,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,52,United-States,<=50K -47,Private,162741,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K -41,Private,197919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -28,Private,298510,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,306114,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -61,?,229744,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,3942,0,20,Mexico,<=50K -46,Federal-gov,332727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,260253,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,196545,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -38,Private,207568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -56,Local-gov,216824,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -41,Private,443508,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Canada,>50K -39,Private,111499,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,415847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,227943,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,111129,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,39,United-States,<=50K -49,State-gov,133917,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1902,60,?,>50K -56,Private,134153,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,166549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,217926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,28053,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -22,Private,194829,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -57,Local-gov,143910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,180303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,70,South,<=50K -55,?,105138,HS-grad,9,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -22,?,52596,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,?,>50K -28,Private,130856,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -52,Private,98752,9th,5,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,State-gov,104509,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -46,Private,83082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,33,United-States,<=50K -45,Private,159080,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -22,Private,244366,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,114967,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,123173,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -43,Private,182757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,184078,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,188386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,78817,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -55,Private,193568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,316141,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,7443,0,40,United-States,<=50K -61,Private,204908,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,95864,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,176335,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,220237,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -39,Self-emp-inc,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -69,?,171050,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K -27,Private,110073,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,England,>50K -51,Self-emp-not-inc,145409,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -33,State-gov,150570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,228516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,Columbia,<=50K -26,?,228457,11th,7,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,188246,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -47,Self-emp-not-inc,106252,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,440129,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,Mexico,<=50K -50,Private,118058,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -64,Federal-gov,175534,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -32,State-gov,113129,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K -33,Private,235109,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -69,?,92852,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -51,Local-gov,35211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -48,Private,443377,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Self-emp-not-inc,123598,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,206074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,324011,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -44,Local-gov,56651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K -33,Private,160784,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,102025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,<=50K -53,Private,287317,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,32,United-States,<=50K -38,Private,220694,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Local-gov,177072,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,16,United-States,<=50K -29,Private,180115,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -21,Private,334618,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,99999,0,40,United-States,>50K -63,Self-emp-not-inc,217715,5th-6th,3,Never-married,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K -47,State-gov,55272,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Self-emp-not-inc,115705,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,State-gov,287908,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K -60,?,153072,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -59,Federal-gov,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -47,Private,408788,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,219318,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,35,Puerto-Rico,<=50K -31,Private,219117,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,5455,0,60,United-States,<=50K -27,Local-gov,116662,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,415037,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -54,Federal-gov,127455,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -31,Self-emp-not-inc,161745,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,1980,60,United-States,<=50K -38,Private,52963,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,249541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,232577,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,30,United-States,<=50K -27,Private,55390,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -45,Private,203264,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,396758,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,70,United-States,>50K -61,Self-emp-not-inc,268831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,53,United-States,<=50K -26,Private,140446,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -58,Private,34788,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,177635,12th,8,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -33,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -47,State-gov,29023,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -19,?,168471,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -52,Local-gov,136175,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -51,Private,302579,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K -30,Private,186145,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,146949,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K -45,Federal-gov,230685,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,27898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -23,Private,224424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,120837,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,379919,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,284166,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -43,Local-gov,212206,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -58,Private,78141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,211049,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4101,0,40,United-States,<=50K -42,Private,38389,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -64,Private,212838,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -37,Private,138441,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,290641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,319758,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,149988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,190115,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Private,129786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,140644,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,2258,50,United-States,<=50K -26,Self-emp-not-inc,189238,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,Mexico,<=50K -23,Private,45834,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -51,Private,154342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -25,Private,179255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -47,Self-emp-inc,188610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -25,Private,242464,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,202508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -63,Self-emp-inc,189253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,356272,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Private,341672,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K -43,Private,199657,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -19,Private,114066,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K -17,Private,156732,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -50,Private,228238,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Federal-gov,27432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Private,181705,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,36989,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -90,Self-emp-not-inc,122348,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K -38,Private,32528,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,116562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,117674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -60,Private,109511,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,303440,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,96219,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Private,235567,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,90969,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -77,Private,183781,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,5,United-States,<=50K -31,Private,393357,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,48,United-States,<=50K -46,Federal-gov,268281,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,198663,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -54,Local-gov,116428,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,231439,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -21,State-gov,478457,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K -30,Private,57651,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,2001,42,United-States,<=50K -22,Private,127768,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,>50K -30,Self-emp-not-inc,523095,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,211668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,>50K -21,?,65481,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -17,?,454614,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -44,Private,322391,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -19,Private,184759,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,26,United-States,<=50K -19,Private,186096,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -42,Self-emp-not-inc,102069,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -53,Private,346253,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -64,Private,148606,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,77370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,88500,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,203763,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,188331,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,40,United-States,>50K -40,?,253370,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,>50K -30,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,75673,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -20,?,129240,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -52,Private,165681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,128578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K -40,Self-emp-not-inc,29036,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -18,Private,57413,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -43,Private,142682,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Dominican-Republic,<=50K -34,Private,132835,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Local-gov,148194,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -20,Private,691830,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -35,Local-gov,233327,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,232392,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,166744,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -63,Private,190296,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -29,Self-emp-not-inc,337944,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Private,111387,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,80666,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,101387,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K -62,Local-gov,407669,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -68,Self-emp-inc,31661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -26,Private,139992,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,190759,11th,7,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,120461,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,?,72621,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -48,Self-emp-not-inc,56841,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Self-emp-inc,174202,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -52,Private,99602,HS-grad,9,Separated,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -25,Private,120596,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K -27,State-gov,122660,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,383365,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -44,Private,124924,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,127139,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -64,Federal-gov,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,?,>50K -27,Private,263728,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3137,0,50,United-States,<=50K -40,Self-emp-not-inc,204116,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -36,Private,261012,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,United-States,<=50K -53,Private,77927,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K -29,Self-emp-not-inc,142519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,208046,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K -41,Private,166813,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -45,Private,166929,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,21174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,211231,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,48,United-States,>50K -62,Private,138157,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -50,Private,168212,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K -48,Private,207817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,Columbia,<=50K -44,Private,227065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,?,159159,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -29,State-gov,48634,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,174995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -75,Private,188612,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,124963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,?,191380,10th,6,Married-civ-spouse,?,Husband,White,Male,9386,0,50,United-States,>50K -34,Self-emp-not-inc,123429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,187702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,462964,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K -42,Private,445940,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,365739,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,339602,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,?,105598,11th,7,Never-married,?,Not-in-family,White,Male,0,1762,40,Outlying-US(Guam-USVI-etc),<=50K -37,Private,187748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,145419,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -32,Private,207668,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -31,Private,193477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -34,Self-emp-not-inc,41210,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -46,Self-emp-not-inc,97176,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -26,State-gov,234190,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,277314,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -69,?,164102,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K -28,Private,299422,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,228847,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,186648,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,136309,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Private,108914,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,394927,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -44,Private,203761,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,40,United-States,>50K -57,Private,160275,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,118259,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,60,United-States,<=50K -44,Private,889965,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3137,0,30,United-States,<=50K -41,State-gov,283917,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -28,Private,186720,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -63,?,107085,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -42,Private,341204,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,40,United-States,>50K -30,Private,102320,Assoc-voc,11,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,427686,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -28,Private,201861,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -31,State-gov,63704,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,118484,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,265576,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -42,Local-gov,221581,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,41385,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,4508,0,40,United-States,<=50K -18,?,387871,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -36,Local-gov,293358,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,48,United-States,<=50K -61,Private,244933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -33,Private,192286,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K -47,Self-emp-inc,127678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -21,Private,247779,11th,7,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -17,Private,147339,10th,6,Never-married,Prof-specialty,Own-child,Other,Female,0,0,15,United-States,<=50K -61,Self-emp-not-inc,184009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,50,United-States,>50K -31,Private,289228,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -54,Private,96678,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,138441,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -56,Local-gov,204021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,344275,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,?,>50K -40,State-gov,177083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,189623,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Private,34335,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,14084,0,40,United-States,>50K -29,Private,245226,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,157217,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -22,Private,252570,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,209993,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,El-Salvador,<=50K -44,Local-gov,165304,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K -32,?,647882,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K -43,Private,75742,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,212027,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,197702,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,420537,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K -23,Private,380544,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -52,Private,174421,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -33,Private,176992,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,25690,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -27,Private,240172,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,177287,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Private,196123,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,50753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -54,Private,172962,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1340,40,United-States,<=50K -17,Private,266497,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -34,Private,36385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,50,United-States,<=50K -21,Private,190227,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,159008,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -30,Private,164802,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Other,Female,8614,0,40,India,>50K -48,Private,174533,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,417136,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -27,Private,173944,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,340917,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,14344,0,40,United-States,>50K -24,Private,236149,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -41,Private,266510,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,66838,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K -49,Private,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,400416,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -46,Private,207076,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Local-gov,229148,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -61,Private,223133,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Federal-gov,174724,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,1831,0,40,United-States,<=50K -33,Private,62155,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K -61,?,265201,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -19,Private,237455,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,173888,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -40,Private,214891,Bachelors,13,Married-spouse-absent,Transport-moving,Own-child,Other,Male,0,0,45,?,<=50K -27,Private,188189,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -42,Self-emp-not-inc,52781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,83508,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,<=50K -18,?,28311,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -56,Private,282023,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,198613,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K -55,Self-emp-not-inc,73684,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K -73,Private,336007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,40,United-States,>50K -41,Private,31221,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -50,Private,169925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -23,Local-gov,23438,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,185291,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -48,Private,377401,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -57,State-gov,141459,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,191103,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,State-gov,280618,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,174871,Some-college,10,Never-married,?,Own-child,White,Male,0,0,23,United-States,<=50K -24,Private,376474,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K -47,Private,256866,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,318749,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Germany,<=50K -31,Self-emp-not-inc,203181,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -40,Private,143327,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,167474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,128065,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -40,Local-gov,33274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Self-emp-not-inc,481987,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,74054,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,20,?,<=50K -29,Private,133136,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,Private,271933,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,110355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,193995,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -41,Private,115254,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,State-gov,461929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -60,Self-emp-inc,210827,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -44,?,248876,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Local-gov,132125,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Local-gov,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,>50K -53,Local-gov,231196,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,101383,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,74056,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,211968,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1762,28,United-States,<=50K -21,Private,256278,HS-grad,9,Never-married,Other-service,Other-relative,Other,Female,0,0,35,El-Salvador,<=50K -53,State-gov,153486,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -24,?,212300,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,38,United-States,<=50K -33,Private,141229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -44,Private,120057,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K -35,Private,60135,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,321456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,Germany,<=50K -21,Private,211013,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K -37,Self-emp-not-inc,352882,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,70,South,>50K -51,?,157327,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,8,United-States,<=50K -32,Self-emp-not-inc,443546,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,340148,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,?,249463,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,148298,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,632834,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,105617,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,159929,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,414721,11th,7,Never-married,Other-service,Own-child,Black,Male,0,1602,23,United-States,<=50K -40,Private,221172,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,152246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,52,United-States,<=50K -19,Private,294029,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,32,Nicaragua,<=50K -22,Private,496025,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,144925,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,160118,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,10,?,<=50K -34,Federal-gov,121093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K -39,Private,164712,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -63,?,222289,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,7688,0,54,United-States,>50K -44,Private,346081,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -46,Local-gov,216214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -60,Private,142922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,353010,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -43,Federal-gov,92775,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,120131,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K -25,Private,169759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,95,United-States,<=50K -28,Local-gov,273051,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,434097,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,183077,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,67222,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -54,?,191659,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,148475,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,233777,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,?,<=50K -31,Private,409172,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,268620,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,33,United-States,<=50K -19,?,258026,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,16,United-States,<=50K -48,Federal-gov,113612,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Private,100313,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -42,Private,276218,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -52,Federal-gov,277772,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,136935,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,13,United-States,<=50K -22,Private,161638,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Columbia,<=50K -52,Private,373367,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,423222,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,178469,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,154120,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -18,Private,274057,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,8,United-States,<=50K -33,?,98145,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -35,State-gov,372130,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -45,Federal-gov,181970,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K -18,Private,99591,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -41,Self-emp-inc,112262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,119411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -44,Private,116391,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,39150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,73161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,40,United-States,<=50K -41,Private,421837,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,427686,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,139946,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K -54,?,95329,Some-college,10,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,206974,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,81794,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,302604,Some-college,10,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Local-gov,258037,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,>50K -45,Private,186473,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,117802,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,101593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,407930,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,191149,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,34361,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K -44,Private,344920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,20,United-States,<=50K -44,Private,114753,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -60,?,116746,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,82998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -48,Private,208748,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K -51,Private,141645,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,176063,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -57,Private,94156,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,84,United-States,>50K -21,Local-gov,211385,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -54,Private,188186,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,Hungary,<=50K -56,Self-emp-not-inc,121362,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -36,Private,379522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -37,Private,152307,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,203784,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,38,Mexico,<=50K -67,Private,247566,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K -40,Private,97688,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -26,Private,105787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K -43,Private,218558,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K -33,Local-gov,173005,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,45,United-States,>50K -35,Local-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,398827,HS-grad,9,Married-AF-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,178623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,14084,0,60,United-States,>50K -65,?,106910,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -26,Private,167350,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,207301,Assoc-acdm,12,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,65920,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,317078,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,220563,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,140729,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,59987,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,42,United-States,<=50K -35,Self-emp-inc,111319,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -40,Private,88368,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K -38,Private,111398,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -48,Private,65584,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Local-gov,106554,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -31,Private,310429,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K -31,Private,257644,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -64,Private,148956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,362589,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,116641,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -17,Private,41979,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,45599,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,127539,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,25,United-States,<=50K -56,Self-emp-not-inc,176280,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,Private,127728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -40,Private,230961,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,218650,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,103474,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,222504,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K -35,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,State-gov,127085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -79,Private,266119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,?,371827,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K -48,Private,155781,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,2231,30,United-States,>50K -25,State-gov,66692,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,448841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,117236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,45,United-States,>50K -26,State-gov,180886,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -51,Private,183390,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,144351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -54,Federal-gov,151135,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,64631,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,193366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,295922,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,22154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,28367,Bachelors,13,Married-civ-spouse,Priv-house-serv,Other-relative,White,Male,0,0,99,United-States,<=50K -28,Private,109165,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,501671,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -23,Local-gov,254127,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,<=50K -45,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -47,Private,143050,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,298225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,375980,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,350759,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -21,Private,472861,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,149507,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -27,Private,102889,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,108502,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K -25,Private,105693,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,156602,Bachelors,13,Never-married,Sales,Own-child,White,Male,3325,0,43,United-States,<=50K -62,Self-emp-not-inc,224520,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K -65,Private,93318,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -18,Private,188616,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -38,Private,70995,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,200471,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K -61,?,190997,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -30,Private,136832,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,376416,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,188669,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -34,Private,269723,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,2977,0,50,United-States,<=50K -40,Private,273308,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,Mexico,<=50K -52,Local-gov,155141,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -35,Private,57640,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -55,Private,186479,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,?,321629,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,16,United-States,<=50K -34,Private,128016,HS-grad,9,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,216639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,123053,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,50,India,>50K -41,Private,439919,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,3411,0,40,Mexico,<=50K -36,Private,117528,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -66,Self-emp-inc,249043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5556,0,26,United-States,>50K -39,Private,85783,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,<=50K -34,Private,384150,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,135066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,183264,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,187870,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,90,United-States,>50K -31,Self-emp-inc,133861,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,85708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,70655,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,25955,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -32,Private,29933,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -34,Private,337587,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,299047,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -28,Private,364946,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,171393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -19,?,264767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -66,Private,236784,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,8,Cuba,<=50K -48,Private,143920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -38,Private,242720,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -44,Local-gov,212665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,99,United-States,<=50K -32,Federal-gov,42900,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -48,Self-emp-not-inc,76855,Some-college,10,Divorced,Transport-moving,Unmarried,White,Female,0,0,53,United-States,<=50K -32,Private,243243,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,77,United-States,<=50K -18,Private,71792,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -47,Private,114459,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Federal-gov,186934,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,55,United-States,>50K -32,Private,193565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,181896,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,Local-gov,197915,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,113839,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -76,?,42209,9th,5,Widowed,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -21,Private,200973,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,388672,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -39,Self-emp-not-inc,176900,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-inc,345489,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -45,Private,225456,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -62,?,119986,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -36,Private,172104,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,40,India,>50K -34,Private,230246,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2202,0,99,United-States,<=50K -24,State-gov,334693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,326857,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -46,Private,409443,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K -52,Private,128871,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,64,United-States,<=50K -34,Private,113838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -35,Private,191502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -34,Private,207564,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,>50K -27,Local-gov,236472,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -18,Private,137363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,227310,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Local-gov,211654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -42,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -34,Private,133122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,144301,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,75755,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Local-gov,201697,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -26,Private,139098,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -23,Private,207546,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,?,346762,11th,7,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K -38,Private,201328,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,128143,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Self-emp-not-inc,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Peru,<=50K -40,Private,99604,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,24,United-States,>50K -39,Private,75995,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -51,Self-emp-not-inc,107096,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,366900,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,State-gov,204034,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -50,Private,410114,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -35,Private,180131,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,105803,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Private,155930,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -62,Private,238913,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,24,United-States,<=50K -51,Private,185283,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -64,Local-gov,190228,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,>50K -57,Private,41680,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,20507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -22,Self-emp-inc,171041,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,?,129305,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,416103,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,360761,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -20,Private,341294,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,42900,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,137814,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,102942,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2258,40,United-States,>50K -64,Private,101077,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,2444,40,United-States,>50K -35,Private,174077,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,32,United-States,<=50K -23,Private,207066,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -43,Local-gov,153132,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -25,Private,312338,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Private,173730,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,278391,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -34,Self-emp-inc,223267,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,78,United-States,<=50K -34,Private,393376,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,104892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,176814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K -58,Private,316849,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,31985,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,329174,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4865,0,40,United-States,<=50K -58,Self-emp-not-inc,129786,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,153876,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,53,United-States,<=50K -35,Private,185325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,130200,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,192588,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -28,State-gov,286310,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,302847,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,169560,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,61885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K -33,Private,205249,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,?,<=50K -27,Private,194652,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,182691,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K -39,Private,380614,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -48,Private,209182,Preschool,1,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K -47,Local-gov,51579,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,314153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,181597,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,319271,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -74,Private,183701,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,0,6,United-States,<=50K -39,Private,218916,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,State-gov,147719,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -47,State-gov,123219,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -23,Local-gov,219122,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,295127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -56,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,102359,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K -54,Private,244770,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,142914,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,75,United-States,<=50K -23,State-gov,136075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -47,Private,188195,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,217962,12th,8,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K -47,Private,224752,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,242097,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,117606,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,238806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,26,United-States,<=50K -50,Private,229318,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,Trinadad&Tobago,<=50K -49,State-gov,139268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,>50K -56,Local-gov,183169,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,?,370585,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -31,State-gov,193565,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,133654,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,189759,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,194630,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -75,Private,254167,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,Self-emp-not-inc,350247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -23,Private,238917,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -41,Private,53956,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1980,56,United-States,<=50K -29,Local-gov,375655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Local-gov,337064,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,160910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -49,Private,723746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -38,Private,36989,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,70,United-States,<=50K -55,Private,256526,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,4865,0,45,United-States,<=50K -53,State-gov,21412,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,117857,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,40666,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,163665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,>50K -23,Private,291011,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,123075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,150312,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,151806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,195576,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,3325,0,50,United-States,<=50K -55,Self-emp-inc,207489,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,Germany,<=50K -48,?,144397,Some-college,10,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -57,Self-emp-not-inc,110199,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -30,State-gov,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -85,Private,115364,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -39,Private,74163,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Federal-gov,154521,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -26,Self-emp-inc,109240,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,?,253873,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -20,?,141453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -60,Self-emp-not-inc,119471,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -44,Self-emp-not-inc,182771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,South,>50K -27,Self-emp-not-inc,164725,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,3464,0,35,United-States,<=50K -31,Private,301168,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Italy,<=50K -38,Local-gov,218763,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,186077,HS-grad,9,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -48,?,184682,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K -55,Local-gov,177163,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,914,0,50,United-States,<=50K -36,Private,255454,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,30,United-States,<=50K -39,Private,257597,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K -23,Private,83891,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -37,Private,278924,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,195520,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,258364,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,107762,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,34111,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -22,Private,181773,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,42972,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,22,United-States,>50K -34,Private,121321,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-inc,156623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,50,Philippines,>50K -48,Private,287547,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -54,Private,200783,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,126613,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,27766,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -65,Private,56924,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,10,United-States,<=50K -34,Private,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,60,United-States,<=50K -26,Private,67240,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,137900,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,103474,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,424478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K -31,Private,327825,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,2238,40,United-States,<=50K -54,Self-emp-not-inc,60449,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -30,Private,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Private,134768,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,95552,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -61,?,135285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2603,32,United-States,<=50K -33,Local-gov,190290,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -40,Private,215596,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -34,Private,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -52,Private,243616,5th-6th,3,Separated,Craft-repair,Unmarried,Black,Female,4101,0,40,United-States,<=50K -45,Private,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Local-gov,90730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -44,Private,56651,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,188872,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,Private,226702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,29980,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,1848,0,10,United-States,<=50K -58,Self-emp-not-inc,99141,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K -79,?,23275,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,134813,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,259532,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,137681,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,156526,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,33,United-States,<=50K -25,Private,162687,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,241928,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K -26,Private,89389,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,110663,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -31,Private,176430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,263339,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -43,Private,187322,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Local-gov,45554,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -65,Private,270935,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -47,State-gov,120429,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -29,Private,211331,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,Mexico,<=50K -53,State-gov,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,226872,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,431745,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,14,United-States,<=50K -41,Private,200652,9th,5,Divorced,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -41,Private,173682,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,?,228424,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -40,Private,94210,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,219863,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,?,120243,11th,7,Never-married,?,Own-child,White,Male,0,0,27,United-States,<=50K -26,Private,154571,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -46,Private,196858,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -62,Private,210464,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K -62,?,199198,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,140612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -43,Private,105936,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -20,Private,238917,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,32,Mexico,<=50K -21,State-gov,173324,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -49,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -24,Private,199915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -37,Private,184964,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -45,Private,72844,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K -34,Private,182218,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,State-gov,103651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,144608,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K -55,Private,189719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -42,?,109912,Assoc-acdm,12,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Private,155107,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,34364,Assoc-acdm,12,Separated,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K -28,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Private,97723,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,42004,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,251659,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1485,55,?,>50K -38,Private,175232,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Federal-gov,108183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K -46,Private,101430,11th,7,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,274200,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,100145,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -44,Private,174189,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,111567,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,148315,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K -43,Private,355431,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Private,143266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,185670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,120302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,125159,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Jamaica,<=50K -69,Self-emp-not-inc,164754,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,94208,1st-4th,2,Divorced,Other-service,Unmarried,White,Female,0,0,35,Mexico,<=50K -51,Private,184529,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -40,Local-gov,108765,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,121685,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -44,Local-gov,49665,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -60,Private,101198,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -20,Private,390817,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,Mexico,<=50K -28,Private,264498,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,509350,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,Canada,>50K -26,Private,163189,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -60,?,163946,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,136836,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K -43,Private,249039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -41,Private,121012,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Local-gov,116580,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -34,Private,115066,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -28,Local-gov,419740,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -53,Private,107096,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,1669,50,United-States,<=50K -47,Private,83407,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K -27,Private,169748,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,293928,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,322144,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,293936,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K -31,Private,191834,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,57593,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,410034,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,Self-emp-not-inc,198186,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,?,<=50K -21,Self-emp-not-inc,236769,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,155603,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,2205,40,United-States,<=50K -48,Local-gov,67716,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -32,Private,53206,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -40,Private,141537,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,104258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,221452,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,41610,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,187308,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -73,Self-emp-not-inc,177387,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,319854,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Taiwan,>50K -60,Private,140544,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,132544,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,<=50K -50,Self-emp-not-inc,197054,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -49,Private,387074,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,96866,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -27,Private,159623,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,54608,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,207685,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,39,United-States,<=50K -30,Private,622192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K -23,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K -73,?,200878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -36,Private,254202,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -25,Private,159732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,156874,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K -20,Federal-gov,55233,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -55,Private,119751,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K -20,Private,120046,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,137994,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -25,Federal-gov,80485,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,32778,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -27,Private,153805,Some-college,10,Never-married,Craft-repair,Unmarried,Other,Male,0,0,45,Ecuador,<=50K -24,State-gov,247075,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -63,?,146196,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,161599,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K -34,Private,202498,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -20,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -48,Private,125892,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Local-gov,175935,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -18,?,139003,HS-grad,9,Never-married,?,Other-relative,Other,Female,0,0,12,United-States,<=50K -24,Private,95552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,250585,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,Private,195844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -61,Private,27086,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,29660,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,180010,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -29,Self-emp-not-inc,239511,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -26,Private,233777,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -19,Private,277974,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -42,Private,254773,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K -42,State-gov,192397,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -31,Private,104509,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K -26,Private,110103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K -25,Self-emp-not-inc,213385,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,80,United-States,<=50K -40,Private,310101,Some-college,10,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -23,Private,216672,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,?,<=50K -31,Private,202822,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,267966,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,State-gov,85384,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,150057,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,<=50K -29,Private,154411,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -53,State-gov,101238,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,310380,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,240283,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -59,Private,105745,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -41,Private,421871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -41,Private,173858,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -34,Private,69727,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,160968,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,30219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,40,United-States,<=50K -45,Federal-gov,320818,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K -39,?,179352,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -53,Federal-gov,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -50,Private,151159,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -56,Self-emp-inc,184598,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -17,Private,48610,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -26,Private,184303,5th-6th,3,Married-spouse-absent,Priv-house-serv,Other-relative,White,Female,0,0,8,El-Salvador,<=50K -20,Private,324469,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Local-gov,220912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,323790,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,190027,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,70,United-States,>50K -19,Private,304469,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,199248,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -54,Private,249322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -44,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Italy,>50K -27,Private,370242,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,197496,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K -46,Self-emp-not-inc,135339,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,45,India,>50K -53,Private,117058,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,122922,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,88642,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -33,Self-emp-not-inc,34102,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -72,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,74,United-States,<=50K -32,Private,53373,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -18,Private,423024,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -51,Private,230858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K -30,Private,303990,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -66,Self-emp-not-inc,257562,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,115023,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,?,<=50K -68,?,140282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -56,Private,92215,9th,5,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,>50K -28,?,192569,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -58,?,175017,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -23,Private,38251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,26543,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,193304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,190368,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -24,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,Private,148509,10th,6,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,45,?,<=50K -27,Private,85625,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K -52,State-gov,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -19,?,20469,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,12,South,<=50K -37,Self-emp-not-inc,218249,11th,7,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K -31,Self-emp-inc,114937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -26,Private,108542,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,267556,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,64,United-States,<=50K -36,Private,175130,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Self-emp-inc,174864,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -36,Self-emp-not-inc,188503,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -23,Private,117767,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,258498,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,52,United-States,<=50K -30,Private,226525,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,372793,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,21,?,<=50K -62,Self-emp-inc,123749,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K -23,?,191444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,334105,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -58,Self-emp-not-inc,61474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -37,Self-emp-not-inc,200352,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -31,Private,122612,Masters,14,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,25,Japan,>50K -52,Private,175714,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -22,Private,285580,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -36,State-gov,230329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -52,Self-emp-not-inc,417227,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -42,Private,178134,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,301227,5th-6th,3,Separated,Priv-house-serv,Unmarried,Other,Female,0,0,35,Mexico,<=50K -20,Private,355236,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,16,United-States,<=50K -33,Private,178683,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -62,Private,150693,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -50,Self-emp-inc,177487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -51,Private,249449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -45,Private,49298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,49398,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -42,Private,34037,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,225531,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,2205,40,United-States,<=50K -49,Private,182211,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,355978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,140863,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,190293,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,63596,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -57,Self-emp-inc,249072,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -48,Self-emp-inc,200471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,236696,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,332588,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Private,119164,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,53434,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,?,213366,Some-college,10,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K -30,Federal-gov,319280,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,193787,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K -27,Local-gov,199172,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,293091,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,116666,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,4650,0,48,United-States,<=50K -39,Private,109351,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -30,Private,185027,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,36228,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K -19,Private,188815,HS-grad,9,Never-married,Other-service,Own-child,White,Female,34095,0,20,United-States,<=50K -61,Private,124242,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,India,<=50K -51,Private,240988,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -44,Private,54611,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,68840,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,Private,325971,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -62,Local-gov,164518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -25,Private,303431,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,233727,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K -47,Private,177858,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,27828,0,60,United-States,>50K -29,Private,94880,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -30,?,197827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,46868,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K -37,Private,194630,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,29437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -48,Local-gov,132368,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,50178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,55,United-States,<=50K -26,Private,195994,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,167851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,65624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,144301,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K -44,Private,191814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -21,Private,119474,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -20,Private,120601,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,60485,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,135848,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,10,Guatemala,<=50K -65,?,325537,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -43,Private,326379,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,112225,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K -36,Private,26698,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,108993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,102258,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,?,35751,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -34,?,165295,7th-8th,4,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -35,Local-gov,268292,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,44677,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,?,48976,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1887,10,United-States,>50K -21,?,105312,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,State-gov,477505,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,167882,Some-college,10,Widowed,Other-service,Other-relative,Black,Female,0,0,45,Haiti,<=50K -57,Self-emp-inc,140319,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,39026,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,66687,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,Portugal,>50K -30,?,33811,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Taiwan,>50K -36,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,55,United-States,<=50K -27,Self-emp-not-inc,87745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -63,Private,198206,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,289982,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,369438,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,>50K -90,Private,52386,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -32,Private,292217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,?,<=50K -61,Private,355645,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,20,Trinadad&Tobago,<=50K -36,Local-gov,287821,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -29,Private,337266,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,209472,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -34,Private,167781,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,401930,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,42,United-States,>50K -28,Private,124905,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -26,Private,90915,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K -24,Private,114873,HS-grad,9,Never-married,Protective-serv,Not-in-family,Other,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,294671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -24,Private,200089,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K -24,Private,360077,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,>50K -38,Private,313914,Bachelors,13,Separated,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K -32,Private,185433,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -40,Private,226027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,222142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,297457,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,379525,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,4416,0,24,United-States,<=50K -34,Federal-gov,172716,12th,8,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,170721,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -29,Private,352451,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,?,143162,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,177437,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Local-gov,162236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K -20,Private,200089,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,Guatemala,<=50K -37,Private,259882,Assoc-voc,11,Never-married,Sales,Unmarried,Black,Female,0,0,6,United-States,<=50K -35,Private,202397,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -65,?,37170,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -53,Private,58985,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K -48,Private,54744,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,143267,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -38,Private,159179,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,236391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -53,State-gov,58913,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -18,?,437851,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -44,Local-gov,54651,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Self-emp-inc,120753,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -34,Private,226296,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,205759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,121287,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,?,76131,HS-grad,9,Never-married,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -39,State-gov,275300,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -33,Local-gov,173806,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,86644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K -24,Private,250630,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -37,Self-emp-not-inc,202683,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,176634,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,139145,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -40,Private,234397,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -42,Local-gov,271521,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K -44,Private,119281,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,84547,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Private,97842,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -34,Private,110554,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -25,Private,358975,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,207415,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,226947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,178142,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Self-emp-inc,269583,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -47,Private,202322,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,142022,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -37,Private,248445,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -71,?,365996,HS-grad,9,Widowed,?,Unmarried,White,Female,6612,0,42,United-States,>50K -21,State-gov,129345,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,266138,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -57,Private,114686,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2202,0,44,United-States,<=50K -30,Private,251411,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Local-gov,97688,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -19,Private,331556,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,99246,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -34,State-gov,177331,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,4386,0,40,United-States,>50K -44,Private,244172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -57,Private,210688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -57,?,24127,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -36,Federal-gov,125933,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,2258,40,United-States,<=50K -17,Private,365613,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,Canada,<=50K -34,Private,234096,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,132243,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K -33,Private,186884,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,151736,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,227119,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,60426,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,377622,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,?,215463,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,152909,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,131309,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -17,Private,25982,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -49,Local-gov,186539,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -48,Private,183000,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,188972,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,Canada,<=50K -37,Private,280966,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -49,Federal-gov,362679,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,9,United-States,>50K -33,Private,315143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,>50K -26,Private,190873,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,Germany,<=50K -39,Private,63021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,164197,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,237943,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -23,Private,130905,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -66,Private,147766,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,301867,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,111891,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,245090,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -72,Private,174032,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,183511,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,197932,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -29,Private,319149,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -44,Federal-gov,316120,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K -37,Private,103986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,39,United-States,>50K -20,Private,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -19,Private,89295,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -24,Private,111368,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,289944,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,Private,47168,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -62,Private,114060,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,91,United-States,<=50K -39,Private,174343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,373469,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,173243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -53,Private,233369,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,State-gov,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Self-emp-not-inc,198841,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,132178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,258102,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,157332,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,170983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -65,?,200749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -23,Private,236601,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Private,201635,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -20,?,95989,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,100067,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,33117,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,326857,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2415,65,United-States,>50K -28,Private,133696,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,65,United-States,<=50K -37,Private,277022,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,3887,0,40,Nicaragua,<=50K -54,Local-gov,279881,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K -19,Private,124265,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,163756,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,27828,0,60,United-States,>50K -28,Local-gov,312372,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -26,Private,225279,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1602,40,?,<=50K -23,Private,267471,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -41,Private,184630,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,4416,0,40,United-States,<=50K -37,Private,132879,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Local-gov,120238,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,171968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,266525,Some-college,10,Never-married,Prof-specialty,Other-relative,Black,Female,594,0,20,United-States,<=50K -45,Self-emp-not-inc,201080,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-inc,75214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K -31,Private,303032,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,169515,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -22,Private,207969,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,35,United-States,<=50K -43,Self-emp-not-inc,27242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-inc,136913,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -38,Local-gov,172016,Bachelors,13,Divorced,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -29,?,315026,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,203988,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -42,Private,272910,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,?,198019,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,?,394820,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K -27,Private,166210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Self-emp-not-inc,27847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -52,Federal-gov,192065,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,167049,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,244194,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -49,Self-emp-inc,140644,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5013,0,45,United-States,<=50K -49,Private,117310,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -32,Private,313729,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,293917,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,Local-gov,144122,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -54,Private,100933,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,172071,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,38,Jamaica,<=50K -66,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -24,Local-gov,150084,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,281422,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K -22,Private,495288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -33,Self-emp-inc,184245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Mexico,>50K -31,Self-emp-not-inc,210164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,173128,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,161874,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -68,Local-gov,233954,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,>50K -42,Private,138662,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,53407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,141118,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K -28,Private,403671,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,Private,197747,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -17,Private,354493,11th,7,Never-married,Sales,Own-child,White,Male,0,0,6,United-States,<=50K -68,Private,76371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -39,Private,314007,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,174353,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,365020,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,182128,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,50,United-States,<=50K -45,Private,77764,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,117606,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -37,Private,472517,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K -49,Self-emp-not-inc,107597,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,14084,0,30,United-States,>50K -50,Private,269095,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -53,Private,173020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -67,Self-emp-not-inc,268514,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,133937,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -32,Private,227282,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -59,Local-gov,236426,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Federal-gov,170425,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,?,168479,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,139157,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -46,Private,30840,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,180339,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,460408,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,3325,0,50,United-States,<=50K -64,State-gov,264544,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K -54,Private,96710,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Black,Female,0,0,20,United-States,<=50K -32,Self-emp-inc,108467,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -62,Private,72886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,409189,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -45,Private,270842,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,70584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,100605,Some-college,10,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,14,United-States,<=50K -30,Private,30226,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,280422,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,25,Peru,<=50K -31,Private,220915,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,220977,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K -53,Self-emp-not-inc,145419,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,67,Italy,>50K -36,Self-emp-not-inc,35945,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,45,United-States,>50K -59,Private,199713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,57711,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -23,Private,433669,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,323155,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,Mexico,<=50K -40,Private,225978,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,239947,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,240841,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Private,223212,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -36,State-gov,143437,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K -28,?,222005,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,Mexico,<=50K -40,Private,285787,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -41,Private,92733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -66,?,212759,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,6767,0,20,United-States,<=50K -41,Self-emp-not-inc,168098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -19,State-gov,56424,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K -20,?,304076,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -47,Private,219632,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -25,Private,324609,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,75826,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,181054,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -34,Private,227689,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K -42,Private,171841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -44,Local-gov,202872,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -37,State-gov,60227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -46,Private,109089,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K -19,Private,104844,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -30,Federal-gov,68330,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Local-gov,36169,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -21,Private,27049,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -44,Private,267717,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -46,Self-emp-inc,191978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,50,United-States,>50K -42,Private,356934,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,159303,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,279724,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,State-gov,101299,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Local-gov,236831,12th,8,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K -51,Private,147876,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,321990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,?,>50K -57,Private,319733,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K -31,State-gov,176998,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -32,Private,70377,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,20956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Local-gov,38948,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -22,Federal-gov,280567,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,4,United-States,<=50K -19,Self-emp-inc,150384,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,379522,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Germany,<=50K -45,Private,50162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,139160,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,353039,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,36,Mexico,<=50K -30,Private,154587,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -60,Private,73069,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -48,Self-emp-not-inc,243631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7688,0,40,United-States,>50K -42,Self-emp-not-inc,54651,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -85,Self-emp-inc,155981,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -64,Self-emp-not-inc,169604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,>50K -24,Private,271379,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -53,Private,340723,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,67365,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,201908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,102771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,284531,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,123273,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,20296,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,>50K -35,Self-emp-not-inc,207568,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -19,Local-gov,220558,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K -55,Private,221801,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,138845,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,193898,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,77760,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,225172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,167062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,113948,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -38,Private,150057,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Poland,<=50K -45,Private,90992,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -55,Federal-gov,36314,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,72,United-States,<=50K -24,Self-emp-inc,242138,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,116477,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,31606,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-inc,284526,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K -36,Self-emp-not-inc,328466,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Mexico,>50K -41,Private,210591,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,188675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,>50K -51,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -28,Self-emp-not-inc,96219,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,5,United-States,<=50K -25,?,40915,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -25,Private,113654,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K -20,?,250037,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,?,<=50K -61,Private,313170,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,182313,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,261646,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K -18,Private,50879,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K -28,Private,37359,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -23,Private,162228,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -29,State-gov,214284,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,20,Taiwan,<=50K -45,Private,224559,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -39,Federal-gov,129573,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,37284,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,140363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -35,Private,350169,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,Japan,<=50K -34,Private,56026,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -42,Private,91585,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,385540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -54,Private,105428,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,201177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -68,Self-emp-not-inc,273088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -41,Private,718736,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,139268,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,104196,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Federal-gov,263502,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,283004,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,63,Thailand,<=50K -40,Private,299813,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,37,Dominican-Republic,<=50K -61,Self-emp-not-inc,243493,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,12,United-States,<=50K -28,?,30237,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Local-gov,180686,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -27,Private,365745,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -50,Self-emp-not-inc,143535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,169958,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K -73,Private,199362,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,138760,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,328118,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Private,166758,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -27,Private,160972,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -41,Federal-gov,193882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-not-inc,172281,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -33,Private,192644,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Puerto-Rico,<=50K -30,Private,205152,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,100734,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,196280,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -54,Local-gov,31533,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -37,Private,343721,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,144514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -35,Self-emp-not-inc,199753,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,98985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K -21,Private,92863,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,103110,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,101468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -42,Local-gov,195897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,106856,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,209280,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,31,United-States,<=50K -49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,237091,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,20,Columbia,<=50K -38,Private,173858,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,35,China,>50K -28,Private,376302,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Self-emp-inc,202069,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,<=50K -30,Self-emp-not-inc,79303,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -53,Private,117674,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -21,Private,99970,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -37,Private,389725,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -38,Local-gov,72338,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,54,United-States,>50K -57,Private,112840,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -66,Private,204283,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,?,173998,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1485,38,United-States,<=50K -21,State-gov,181761,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -73,Self-emp-not-inc,241121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,85942,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -66,?,170617,Masters,14,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K -26,Private,285004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,South,<=50K -22,Private,230704,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,Jamaica,<=50K -40,Private,224658,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -19,?,234519,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,116044,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,127003,9th,5,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,241998,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,208999,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,48520,Assoc-acdm,12,Never-married,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -80,Private,216073,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -23,Private,370548,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K -26,Self-emp-inc,66872,12th,8,Married-civ-spouse,Sales,Husband,Other,Male,0,0,98,Dominican-Republic,<=50K -23,Private,23037,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,187901,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,32334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -35,Private,234962,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -26,Private,176729,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K -26,Private,340787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,144778,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -20,Private,198478,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -17,Private,277583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -37,Private,189922,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -68,?,270339,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,301911,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,Laos,<=50K -32,Private,211743,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Local-gov,238431,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -21,?,262280,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,40,United-States,<=50K -23,Private,32732,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,146103,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -35,Private,170195,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -28,Private,116613,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -46,Self-emp-inc,204928,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Local-gov,152200,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,181342,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K -38,Private,33975,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,>50K -35,Private,300333,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Dominican-Republic,>50K -37,Private,203828,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,216757,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,244566,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -70,Private,221603,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K -23,Private,244413,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,Ecuador,<=50K -21,?,199915,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -23,Federal-gov,215115,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -51,Private,112310,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -63,Private,158609,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K -43,Private,254146,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -39,Private,99270,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Germany,>50K -44,Private,98779,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,60,United-States,<=50K -37,Self-emp-inc,199265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,75577,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,50,United-States,<=50K -52,Private,143953,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -28,Private,193122,HS-grad,9,Divorced,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K -28,Private,191177,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,1726,40,United-States,<=50K -31,Private,347166,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,4650,0,40,United-States,<=50K -20,Private,419984,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -42,Private,169948,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -22,Private,117363,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,72,United-States,<=50K -37,Private,187022,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,251073,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,124827,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,118500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,152810,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -33,Private,199227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -32,Local-gov,114733,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -41,Self-emp-not-inc,214541,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K -41,Private,147099,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,228516,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,20,Portugal,<=50K -39,Private,225605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K -19,Private,199495,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,407068,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,75,Mexico,<=50K -51,?,69328,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -39,Private,153976,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -31,Private,167725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,48,Philippines,>50K -45,Federal-gov,45891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,42,United-States,<=50K -41,Private,193524,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K -64,Private,169604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,367037,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,State-gov,314627,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -47,Federal-gov,31339,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,263796,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,Self-emp-not-inc,177907,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,127876,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,124672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,?,449101,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,30,United-States,<=50K -36,Self-emp-not-inc,89622,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K -28,Private,402771,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K -29,Private,253801,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,103121,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1848,40,United-States,>50K -18,Private,252993,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Columbia,<=50K -33,State-gov,913447,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,199998,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -62,Private,81534,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -34,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -20,Private,151105,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -30,Private,256970,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -30,Private,70377,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,368852,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,217826,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,?,<=50K -67,Self-emp-not-inc,286372,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,167333,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,275291,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K -52,Private,131631,11th,7,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -30,Private,192002,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,257758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,100734,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K -50,Self-emp-not-inc,37913,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Italy,>50K -26,Private,31558,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K -46,Local-gov,192323,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K -26,Self-emp-inc,160340,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,237608,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2444,45,United-States,>50K -44,Private,271756,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,177526,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,182975,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Private,118500,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,283079,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,370119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-not-inc,302847,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,105585,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -51,Private,85423,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -24,Private,127537,9th,5,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -53,Private,92968,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Private,131699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K -59,Private,656036,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K -46,Private,171199,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Puerto-Rico,<=50K -22,State-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -42,Private,161510,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -51,Local-gov,110965,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,117555,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -49,Private,185385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -65,?,195733,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -50,Federal-gov,169078,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,>50K -38,Private,241765,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Private,41890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,272950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Private,421200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,185145,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -26,Private,211596,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Local-gov,219021,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,48,United-States,>50K -34,Private,275438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -18,?,344742,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,Cuba,<=50K -41,Private,94210,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K -19,Private,129620,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -50,Private,271262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,157599,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Local-gov,214215,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K -44,Private,315971,Masters,14,Divorced,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -44,Private,231793,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K -39,Local-gov,164156,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -49,Private,133351,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,<=50K -39,Private,282489,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,179488,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Canada,<=50K -31,Private,213339,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,107914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,47,United-States,>50K -21,Private,157893,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,437940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,96854,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,51973,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,149809,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,188274,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,223763,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -39,Private,176335,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K -29,Private,334221,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -42,Private,144002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,198613,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -46,Private,153536,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,159548,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -42,?,321086,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -28,?,123147,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,1887,40,United-States,>50K -47,Private,96798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,Private,123411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,United-States,<=50K -56,Private,343849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,180572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,123200,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,2415,40,Puerto-Rico,>50K -21,Private,27255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K -31,Private,117526,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,227065,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -24,Private,388885,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -26,Private,133766,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -57,Private,299358,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,1719,25,United-States,<=50K -59,Private,154100,Masters,14,Never-married,Sales,Not-in-family,White,Female,27828,0,45,United-States,>50K -26,Private,55743,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -31,Private,182162,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -60,Private,52152,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,105444,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K -25,Private,174545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K -42,Private,342865,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,183854,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -27,Private,109004,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -25,Private,36984,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Private,123207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -51,Private,251841,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -54,Private,240542,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -39,Local-gov,301614,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,205726,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -33,Private,156464,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -51,Private,74660,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,200352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,190350,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,249196,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -52,Private,119111,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,200515,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,?,182687,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,>50K -46,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,146268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -48,Self-emp-inc,88564,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Private,266189,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -31,Private,168387,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,Canada,>50K -38,Private,311523,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Iran,<=50K -46,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -20,Private,420973,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,238415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,745768,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,236596,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -20,Private,201729,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,33,United-States,<=50K -59,Private,155976,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,171888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,86912,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,341102,9th,5,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,State-gov,151580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K -34,Private,235271,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,86,United-States,>50K -34,Private,202046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -31,Private,188246,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -39,Local-gov,170382,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,England,>50K -53,Federal-gov,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Private,103540,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -39,Private,132879,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,113364,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Vietnam,<=50K -53,Local-gov,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,35,United-States,<=50K -39,Private,262158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -43,Federal-gov,195897,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,40,United-States,>50K -75,?,186792,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,16,United-States,<=50K -20,Private,117789,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,414683,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,State-gov,227910,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -38,Private,65382,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,State-gov,189794,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -60,Local-gov,119986,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,115085,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,291755,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,303822,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,State-gov,91949,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,280069,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -67,Private,166187,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,>50K -22,?,213291,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -63,Private,161563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -19,Private,62419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,136204,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2824,55,United-States,>50K -33,Private,192002,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,Canada,>50K -19,Private,105460,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,102597,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -20,Private,39927,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K -40,Private,53835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -31,Private,344200,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,181091,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,193459,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -36,Private,136629,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,371987,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,253593,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -49,Private,27614,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,265954,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,214169,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K -40,Private,94080,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,State-gov,44464,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -30,Local-gov,131776,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,?,408417,Some-college,10,Married-AF-spouse,?,Husband,Black,Male,0,0,38,United-States,<=50K -42,Federal-gov,34218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -55,Private,282023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -28,Private,182509,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,114591,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -34,Private,83066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,163392,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,26,?,<=50K -40,Private,29841,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -22,?,57827,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,21472,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -47,Private,175958,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K -19,Private,272063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -28,Private,115971,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,111545,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -33,Private,241885,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,593246,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K -49,Private,175958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -19,Private,196119,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,204042,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -17,Private,191260,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K -33,Self-emp-not-inc,123291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -56,Local-gov,273084,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -35,Local-gov,184117,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -22,Private,195767,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -23,Private,122272,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -38,?,107479,9th,5,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -43,State-gov,230961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,351324,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,209173,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,182545,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -17,?,103851,11th,7,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -54,Private,260052,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,?,133515,Assoc-acdm,12,Never-married,?,Own-child,White,Female,594,0,40,United-States,<=50K -37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,145490,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,145714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K -34,Private,113198,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,28,United-States,<=50K -32,Private,278940,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,34393,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,326903,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -38,Private,179488,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,?,84232,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -54,Private,172281,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -53,Private,303462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -17,Private,228399,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K -35,?,139770,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -31,Private,188246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,163455,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,151985,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K -26,Private,304283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,111502,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,34125,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -63,Federal-gov,217994,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,431245,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,State-gov,365986,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -28,Private,178489,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,?,<=50K -17,Private,286422,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -57,?,403625,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K -51,Private,237295,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,158958,HS-grad,9,Never-married,Priv-house-serv,Other-relative,Black,Female,0,0,40,Honduras,<=50K -34,Self-emp-inc,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,27153,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Self-emp-not-inc,166368,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -47,Private,269620,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -17,Private,413557,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K -57,Private,109638,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K -25,Private,188507,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K -47,Private,119939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,?,134974,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -23,Local-gov,197918,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,297991,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -19,Private,219189,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -24,Private,321435,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,>50K -31,Private,120461,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -62,?,188650,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -28,Self-emp-not-inc,214689,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,140644,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -34,Private,346736,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -26,Private,226288,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,53506,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,204527,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Private,541343,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,86143,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -24,Private,259510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K -29,Local-gov,116751,Assoc-voc,11,Divorced,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K -44,Federal-gov,399155,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -22,?,48343,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -22,Private,370548,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,Self-emp-not-inc,89028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -50,Private,209320,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,32,United-States,<=50K -31,Local-gov,32593,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,173473,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -57,Private,136107,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -34,Private,127875,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,445365,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,23686,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,40,United-States,<=50K -45,Private,338105,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -50,?,260579,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -54,Private,249949,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Local-gov,52037,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,127592,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,138054,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K -60,Private,135158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,48,United-States,>50K -44,Private,178134,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -49,Private,227800,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K -39,Self-emp-inc,190964,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,42,United-States,<=50K -23,Private,196508,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,24,United-States,<=50K -36,Private,238415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Private,285730,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K -47,Self-emp-inc,362835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Local-gov,452640,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,14344,0,50,United-States,>50K -27,Private,284741,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,126675,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -47,?,331650,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,>50K -42,Private,449925,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,102493,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,243636,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,103529,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -67,Private,186427,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,151584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -28,Private,30070,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -68,Self-emp-not-inc,336329,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -43,Private,247880,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,172845,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -41,Private,289551,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,128699,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Ecuador,<=50K -70,?,26990,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,187921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -51,Self-emp-not-inc,222883,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,<=50K -53,?,220640,Bachelors,13,Divorced,?,Other-relative,Other,Female,0,0,20,United-States,<=50K -18,Private,446839,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -18,Private,105854,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,32,United-States,<=50K -44,Private,112797,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -37,Private,138105,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,162322,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,187581,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -38,State-gov,200289,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -24,Private,300584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,167787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,157947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,351040,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -49,Private,198774,Bachelors,13,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -23,Private,210338,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,30,United-States,<=50K -20,?,388811,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,356133,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,143526,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,258735,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K -90,Private,40388,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -46,Private,114120,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K -56,Private,220187,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -46,Private,117059,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -66,Self-emp-inc,50408,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -20,Private,22966,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,Canada,<=50K -27,Local-gov,332785,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,38,United-States,<=50K -19,?,181242,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,277946,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,231826,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K -54,Self-emp-not-inc,28186,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,50,United-States,>50K -63,Self-emp-not-inc,104626,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,32,United-States,>50K -44,Self-emp-inc,212760,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -38,Private,177154,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,82091,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -44,Private,271282,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,56,United-States,<=50K -53,Private,335481,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,32,United-States,<=50K -29,Private,69757,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K -33,Private,132832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,350400,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,273792,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -60,Private,108969,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,State-gov,180609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,191446,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -45,Self-emp-not-inc,174426,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -65,Local-gov,146454,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,4,Greece,<=50K -45,Private,197418,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -43,Private,188291,1st-4th,2,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,337456,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,222596,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -25,Private,73895,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -20,Private,373935,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -30,Local-gov,94041,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,35,United-States,<=50K -65,?,146722,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -23,Private,73968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,244408,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,24,Vietnam,<=50K -45,Private,327886,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -22,?,31102,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,4,South,<=50K -39,Private,53447,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,463667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K -50,Private,166565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,164441,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -19,?,109938,11th,7,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -41,Private,211731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Mexico,<=50K -19,Private,71691,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -26,Private,33610,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Private,160400,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,163003,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,2202,0,40,Taiwan,<=50K -24,Private,236696,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,Taiwan,<=50K -43,?,142030,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Local-gov,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -36,Private,98360,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,France,<=50K -35,Private,127306,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,14344,0,40,United-States,>50K -27,State-gov,162312,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,50,South,<=50K -29,Local-gov,275110,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,250804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,England,<=50K -20,Private,129024,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -19,Private,84747,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -42,Private,173704,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K -36,Private,191161,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -34,Self-emp-inc,79586,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,60,United-States,<=50K -58,Self-emp-not-inc,195835,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -61,Private,53707,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,211494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,55,United-States,<=50K -44,Private,106900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,408531,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -19,Private,164123,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,279272,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K -39,Private,317434,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -27,Local-gov,352797,HS-grad,9,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -24,?,287413,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,60,United-States,<=50K -37,Private,272950,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,?,176458,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K -30,Local-gov,261319,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,209146,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -58,Private,280309,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K -29,Private,50295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,107827,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,25,United-States,<=50K -49,Self-emp-not-inc,163229,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -55,Private,138594,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -31,Private,166248,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,117310,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,21,United-States,>50K -50,Self-emp-not-inc,143730,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -27,Federal-gov,214385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Local-gov,105540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,40,United-States,<=50K -29,?,350603,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K -45,Private,174426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,123572,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -27,?,108926,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,5,United-States,<=50K -51,Private,177705,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -27,Local-gov,221317,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -32,State-gov,316589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,296724,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,17,United-States,<=50K -42,Local-gov,180985,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,99999,0,40,United-States,>50K -18,Private,205218,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -37,State-gov,186934,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,314819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -39,Local-gov,131239,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,?,429696,Some-college,10,Married-civ-spouse,?,Own-child,Black,Female,0,0,14,United-States,<=50K -66,Private,30740,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K -23,Private,394612,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -28,Private,82488,HS-grad,9,Divorced,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -26,Private,63577,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Private,46044,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Self-emp-not-inc,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -38,Local-gov,101426,HS-grad,9,Never-married,Protective-serv,Unmarried,Black,Male,0,0,40,United-States,<=50K -39,Private,257250,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -49,Private,116927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Self-emp-not-inc,314464,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,131230,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1590,40,United-States,<=50K -34,Private,228406,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Local-gov,429897,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Mexico,>50K -27,Self-emp-inc,217848,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,151888,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,214031,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -44,Local-gov,445382,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -32,Private,194740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -65,Self-emp-not-inc,178878,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -33,Self-emp-inc,201763,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,49092,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -52,Local-gov,195635,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,88572,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -38,Private,59660,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -31,Private,162623,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,169973,Assoc-voc,11,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Local-gov,100270,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Self-emp-not-inc,230268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -54,?,124993,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -32,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,32,United-States,>50K -31,Private,78602,Assoc-acdm,12,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,155767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,97771,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,191754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,152667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -42,State-gov,197344,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,329924,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K -46,Private,331776,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,191957,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -38,Private,27997,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,337992,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -48,Local-gov,195416,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -62,Local-gov,41793,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,?,<=50K -36,Private,166855,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,110677,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,513719,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,248445,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -55,Private,156089,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,248094,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,33394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,133937,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,200426,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -40,Private,108945,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -33,Private,180551,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,196420,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,204501,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,165475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,219902,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Private,205735,1st-4th,2,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,914061,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -30,Private,259425,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,169672,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,State-gov,382272,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,242984,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,59612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -55,Private,101524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,99548,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,Self-emp-inc,60668,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,151408,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,36480,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,165235,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -30,Self-emp-inc,78530,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,Canada,>50K -58,Private,126104,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,1980,45,United-States,<=50K -45,Private,75673,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -41,State-gov,227734,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K -44,Private,190532,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -21,State-gov,164922,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,201197,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -32,Private,158291,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -46,Self-emp-not-inc,231347,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -36,Private,142711,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -64,?,338355,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K -40,Self-emp-not-inc,155106,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,361219,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,43959,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,278322,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,109005,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,150057,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -21,Self-emp-not-inc,57298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -37,Local-gov,270181,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K -39,Self-emp-not-inc,263081,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K -57,Private,176079,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,State-gov,38537,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,?,<=50K -49,Private,97883,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,194580,5th-6th,3,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,63105,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,>50K -48,State-gov,118330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -37,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,5,United-States,>50K -17,Private,198830,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K -36,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K -31,Private,106637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -46,Private,123681,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,312131,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,210259,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,383493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -22,State-gov,34310,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -45,Local-gov,364563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,111306,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K -48,Private,155664,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -25,Private,205947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,127772,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -43,Private,52433,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -73,Self-emp-inc,159691,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,141409,10th,6,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -30,Private,213714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,179358,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,30,United-States,<=50K -34,Private,236861,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,151322,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -40,Private,256202,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,55104,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,247053,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,137898,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -45,Local-gov,375606,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -27,Private,135296,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -28,Private,147951,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -49,Self-emp-not-inc,171540,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,110239,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -43,Private,220109,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,44,United-States,<=50K -58,Private,105363,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -31,Private,54929,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,493443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,350624,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,198634,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,431307,10th,6,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,50,United-States,<=50K -64,Self-emp-not-inc,339321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K -41,Private,206066,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -68,Without-pay,174695,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,25,United-States,<=50K -28,Private,193158,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,152744,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,United-States,<=50K -34,Private,169527,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,20,United-States,<=50K -44,Private,146906,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,63509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,180928,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,174308,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K -38,Private,119992,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,287380,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K -35,Private,187053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,>50K -18,Private,391585,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -39,Self-emp-inc,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,38925,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,185870,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -19,Private,206751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -44,Self-emp-inc,37997,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,194200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,187346,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,161295,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -74,Self-emp-inc,167537,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -46,Local-gov,85341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,<=50K -20,Private,223921,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,434268,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,203715,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,635913,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,193820,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1876,40,United-States,<=50K -51,Private,306108,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -17,Private,160029,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,22,United-States,<=50K -29,Private,472344,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -61,Private,93997,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K -31,Private,186787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,42,United-States,<=50K -66,Private,592029,HS-grad,9,Widowed,Sales,Not-in-family,Black,Female,0,0,24,United-States,<=50K -37,Private,80410,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,?,42623,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,32,United-States,<=50K -48,Private,162236,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -44,Private,282192,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,<=50K -34,Private,159268,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,?,228614,7th-8th,4,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,<=50K -29,Private,168015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,142675,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,203828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -36,Private,175759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -27,Private,159676,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,243841,HS-grad,9,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K -56,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K -39,Private,211440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,137606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -31,Private,245500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,?,<=50K -63,Self-emp-not-inc,29859,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,60,United-States,>50K -69,State-gov,208869,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,11,United-States,<=50K -21,State-gov,42706,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,347890,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,264300,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,State-gov,33975,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,22245,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,?,>50K -45,Self-emp-inc,188694,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -40,Local-gov,208875,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Self-emp-not-inc,180522,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -53,Private,247651,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K -34,Private,62165,Some-college,10,Never-married,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K -45,Local-gov,166181,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -26,Private,206600,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K -54,Private,220115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K -45,State-gov,30219,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -43,State-gov,182254,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,65278,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,453686,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Self-emp-inc,154227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,75,United-States,<=50K -27,Private,299536,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,<=50K -26,Private,291968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Self-emp-inc,95997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K -42,Self-emp-inc,173628,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,179135,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,427474,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -50,Private,179339,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,186666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,232586,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,Private,306388,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -39,State-gov,114055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,149324,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -34,Private,245211,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K -23,Private,33884,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,160216,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,?,<=50K -33,Private,123291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K -47,?,175530,5th-6th,3,Separated,?,Own-child,White,Female,0,0,56,Mexico,<=50K -40,Private,130571,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Local-gov,216116,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,>50K -22,Private,200109,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,4508,0,40,United-States,<=50K -49,Self-emp-not-inc,175622,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,175479,5th-6th,3,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -61,?,60641,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,?,258231,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,?,<=50K -58,Private,106740,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,348504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,228583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -57,Private,122562,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -45,Private,204205,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -58,Private,373344,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,247564,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,136310,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,104993,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,174626,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -66,Private,133884,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,386864,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -48,Private,265192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,138765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Private,185143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,?,376474,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,197553,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -19,?,113915,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K -51,Self-emp-inc,126850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -23,?,184699,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -65,Private,111095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -48,Private,69586,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,348131,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -27,Self-emp-inc,193868,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,320102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,135293,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,?,<=50K -26,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,110920,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,77373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -34,Private,253438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -38,Private,111128,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,292592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -53,Private,106176,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K -28,Local-gov,25864,HS-grad,9,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -56,Private,456592,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -19,Private,191889,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -42,Self-emp-not-inc,34037,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,375680,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Private,113770,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,193026,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,230684,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -35,Private,117381,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,287647,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -50,Private,181139,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,99357,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -23,Private,177087,11th,7,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -35,Private,115215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -48,Private,206357,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -53,Local-gov,287192,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K -24,State-gov,147548,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -48,Private,160647,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Ireland,>50K -41,Self-emp-not-inc,138077,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K -60,Private,127084,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -40,Self-emp-not-inc,165815,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,272411,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,202051,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,183043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -35,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,160362,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Private,149419,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Local-gov,184975,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,93056,7th-8th,4,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,183594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,617021,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,7688,0,40,United-States,>50K -22,State-gov,203518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -17,Private,208967,11th,7,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -21,Private,65225,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -18,Private,311795,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -23,Self-emp-not-inc,121313,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,171355,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K -29,Private,197932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,>50K -45,Private,187901,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,2258,44,United-States,>50K -66,Private,115880,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,40,United-States,>50K -65,Private,176219,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K -31,Private,150324,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Self-emp-not-inc,181547,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Columbia,<=50K -34,State-gov,318982,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,40,United-States,>50K -19,Local-gov,91571,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -69,Private,159522,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,2964,0,40,United-States,<=50K -40,Self-emp-not-inc,30759,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,110013,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -55,Private,314164,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,202296,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,50567,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,443336,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,137618,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,>50K -18,Private,152044,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K -57,Private,173832,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,26248,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,132859,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,215219,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -65,?,293385,Preschool,1,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -48,Private,128796,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,108574,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,State-gov,149248,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -60,Private,230545,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Cuba,<=50K -30,Private,226013,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,163942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K -34,Private,456399,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,195843,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,175643,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,144937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -57,Self-emp-not-inc,411604,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -25,Private,344804,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -35,Private,159179,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,239409,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -37,State-gov,136137,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,343591,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K -47,Self-emp-inc,308241,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,274731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,146091,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,36,United-States,>50K -18,Private,62972,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -71,Private,187703,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,11678,0,38,United-States,>50K -25,Private,211392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -54,Local-gov,188588,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,2001,35,United-States,<=50K -23,Private,291854,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,268545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K -39,Local-gov,305597,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -61,Private,222966,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -69,Local-gov,197288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -30,?,58798,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,44,United-States,<=50K -32,Private,29933,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -51,Self-emp-not-inc,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,187167,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,172714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,?,119156,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,201680,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -32,Private,464621,Some-college,10,Never-married,Farming-fishing,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,139743,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Local-gov,270221,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,43,United-States,>50K -55,Private,173504,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,>50K -23,Local-gov,324960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Poland,<=50K -25,Private,186294,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,Private,39388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,190483,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,85374,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,42,United-States,<=50K -19,Private,366109,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -53,State-gov,118793,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,274528,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -31,Private,103596,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -30,Private,91145,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K -35,Private,214891,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -37,Private,339772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -71,Private,55965,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K -37,Private,289886,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K -46,Private,315671,7th-8th,4,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -24,Private,215443,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,102058,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,374764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -43,Self-emp-inc,173326,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -56,Federal-gov,101338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Private,190822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,31,United-States,<=50K -29,Private,71067,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -43,?,220445,HS-grad,9,Widowed,?,Own-child,Black,Male,0,0,40,United-States,<=50K -72,Self-emp-inc,84587,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,20,Japan,<=50K -28,Private,213842,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,244661,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -30,Self-emp-not-inc,55912,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -56,Federal-gov,162137,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,212064,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,236543,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,El-Salvador,>50K -48,Private,35406,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,190385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -47,Private,168337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -43,Local-gov,70055,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -31,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,State-gov,536725,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,15,Japan,<=50K -19,Private,281704,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -51,Private,123011,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,85668,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,195678,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -70,?,152837,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K -44,Private,54507,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,109133,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,60,Iran,>50K -23,Private,189013,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -39,Self-emp-not-inc,169542,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -66,Self-emp-not-inc,244749,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K -26,Private,360252,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,196742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,107425,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,181705,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,141795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -33,?,274800,HS-grad,9,Separated,?,Own-child,Black,Female,0,0,40,United-States,<=50K -72,Self-emp-inc,473748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K -47,Private,121124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,253189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,101593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,157473,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -48,Self-emp-not-inc,353012,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -46,Private,150499,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,220644,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -75,?,226593,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,State-gov,41183,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,165867,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,188950,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,312017,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Germany,<=50K -47,Federal-gov,96854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,276839,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,164866,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Federal-gov,213668,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K -34,Self-emp-not-inc,527162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -22,Private,37932,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -34,Private,346034,12th,8,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,35,Mexico,<=50K -41,Private,362815,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,194612,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -45,?,120131,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,25,United-States,<=50K -66,Local-gov,174486,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,20051,0,35,Jamaica,>50K -60,Self-emp-inc,376133,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,15,United-States,>50K -47,State-gov,210557,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,199915,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K -26,Private,199224,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -17,Private,89160,12th,8,Never-married,Priv-house-serv,Own-child,White,Female,0,0,18,United-States,<=50K -33,Private,376483,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,79586,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -51,Private,153486,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -43,Private,185015,5th-6th,3,Married-spouse-absent,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -40,Private,223934,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,>50K -27,Private,93206,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -26,Private,180514,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,487742,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,304030,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,33117,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,206369,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K -36,Local-gov,202207,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,69,Germany,>50K -43,Private,161226,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,Private,123226,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3411,0,70,United-States,<=50K -22,Private,194723,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -34,Private,196266,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -65,Private,274916,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,192182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,105930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,163215,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,238944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,85389,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,393673,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -32,Local-gov,318647,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,36,United-States,<=50K -22,Private,119359,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,174395,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,Greece,<=50K -33,State-gov,150688,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -30,Self-emp-not-inc,303692,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -51,Private,131068,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,186534,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -38,Private,181661,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,56,United-States,>50K -64,Private,126233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -34,Self-emp-not-inc,49707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -29,Private,247445,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,387430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K -23,Private,126346,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -21,Private,308237,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -27,Federal-gov,38645,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,28572,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,165001,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K -41,Self-emp-not-inc,154374,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K -20,Private,122166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,137476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -19,Private,181781,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K -38,Private,179579,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,343609,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K -53,Private,162381,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,138513,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,104772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,258121,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,323985,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -39,Private,258037,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K -66,Self-emp-not-inc,325537,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,409230,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -62,Private,162825,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,?,156848,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,217775,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,173350,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -55,Private,106740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,300915,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K -22,Private,23940,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -30,Private,348592,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,171327,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,46492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Federal-gov,251305,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,137250,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,1669,35,United-States,<=50K -31,Private,272856,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,England,<=50K -35,Private,304001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,235218,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -35,?,111377,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,103980,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Self-emp-not-inc,155621,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Columbia,<=50K -36,Private,113481,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,191807,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K -46,Self-emp-inc,123075,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -20,Private,42279,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,181705,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,132702,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Self-emp-inc,137354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -62,Private,210935,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -21,Private,145964,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,161141,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,293809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,113555,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7298,0,50,United-States,>50K -43,Private,177905,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,157747,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -59,Private,97168,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Private,242552,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Honduras,<=50K -58,Self-emp-inc,130454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Federal-gov,261241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -51,Self-emp-inc,230095,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Self-emp-inc,117963,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K -61,Private,123273,5th-6th,3,Divorced,Transport-moving,Not-in-family,White,Male,0,1876,56,United-States,<=50K -39,Private,379350,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,215944,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -22,Private,112130,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,148171,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -41,Private,599629,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -46,Private,102852,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Local-gov,185769,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,80680,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,64,United-States,<=50K -35,Private,223749,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,48,United-States,>50K -18,Private,164441,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -31,Private,454508,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,40,United-States,<=50K -29,Private,83003,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -66,Private,166461,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,<=50K -27,Private,200928,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K -20,Private,117476,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,314310,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,410615,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -50,Self-emp-inc,283676,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -90,Private,171956,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -41,Private,56651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -62,Local-gov,68268,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,188503,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,6497,0,35,United-States,<=50K -65,Local-gov,240166,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,205830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K -18,Private,111476,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,294708,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -27,Private,181916,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,51838,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,101774,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K -30,State-gov,218640,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -19,Private,32477,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,219591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,52372,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,34037,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K -33,Self-emp-not-inc,100580,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -42,Private,303155,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,187870,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,219632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,566066,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K -74,Self-emp-not-inc,192413,Prof-school,15,Divorced,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -29,Local-gov,94064,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,267912,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -27,Private,74056,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -33,Self-emp-not-inc,183778,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,299635,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -21,Private,400635,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,?,<=50K -35,Private,92028,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,111746,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Portugal,<=50K -28,Private,160510,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -28,Private,308995,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Jamaica,<=50K -29,Private,53448,12th,8,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K -40,Private,103614,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,194848,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,116044,11th,7,Separated,Craft-repair,Other-relative,White,Male,2907,0,50,United-States,<=50K -23,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K -43,Private,174196,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,318644,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -49,Local-gov,126754,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,Italy,<=50K -41,Private,217902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,133584,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,101607,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -34,Private,111589,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -20,Private,398166,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -19,?,291692,Some-college,10,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K -39,Private,70240,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -39,Private,225330,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,Poland,>50K -69,Self-emp-not-inc,89477,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K -66,Private,193132,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -36,Private,185203,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Self-emp-inc,81534,HS-grad,9,Widowed,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,>50K -17,?,202521,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -58,Local-gov,215245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K -36,Self-emp-inc,183898,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,337953,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,United-States,<=50K -48,Private,245948,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,2174,0,40,United-States,<=50K -19,Private,47577,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Local-gov,218490,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K -25,Private,233461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Federal-gov,196456,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,216086,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,206721,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -67,?,184506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,419,3,United-States,<=50K -58,Private,236731,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K -44,Private,96249,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -45,Self-emp-not-inc,213140,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -23,Private,283969,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K -32,Private,37380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -44,Private,192014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -34,Private,173730,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -74,Private,282553,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,56236,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,2202,0,45,United-States,<=50K -24,Private,192201,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,20,United-States,<=50K -33,Local-gov,203051,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,46,United-States,<=50K -49,Self-emp-inc,127111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,356882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -23,Private,147548,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -62,Self-emp-not-inc,97950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,6,United-States,<=50K -21,Private,131811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,183170,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -27,Local-gov,105830,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -45,Self-emp-not-inc,160962,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,45781,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K -37,Private,168941,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -49,Self-emp-not-inc,181717,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,7,United-States,>50K -31,Private,177426,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,188569,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,4787,0,60,United-States,>50K -32,Private,34066,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,106538,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,140845,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,155,40,United-States,<=50K -45,Private,45857,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K -18,?,151866,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -40,Private,421837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,State-gov,155657,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,25,United-States,<=50K -28,Private,193260,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,South,>50K -49,Private,183013,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,45702,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,180195,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -62,Private,77884,1st-4th,2,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -24,Private,209034,Assoc-acdm,12,Married-civ-spouse,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,194630,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,53,United-States,<=50K -30,Private,75167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -52,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,403107,Preschool,1,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Mexico,<=50K -72,Private,116640,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3471,0,20,United-States,<=50K -31,Private,509364,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,Mexico,<=50K -45,Local-gov,160472,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -59,Local-gov,140478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Local-gov,259803,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -33,Private,75167,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -73,Private,105886,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,1173,0,75,United-States,<=50K -21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,?,195789,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,241055,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,119411,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,182926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -67,?,129824,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -19,?,372665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,128012,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K -24,Private,184400,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K -48,Self-emp-not-inc,121424,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,140559,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -53,Private,194995,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K -23,Private,111450,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,38,United-States,<=50K -20,Private,47039,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,203301,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,98948,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,356286,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K -66,Private,142501,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,3,United-States,<=50K -54,Private,150999,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,204663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -47,Private,167159,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -35,Private,182189,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -75,Self-emp-not-inc,218521,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,205604,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,Mexico,<=50K -36,Private,131039,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Trinadad&Tobago,<=50K -43,Local-gov,487770,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,224426,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,38,United-States,<=50K -43,Self-emp-not-inc,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -37,Private,186934,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -58,Local-gov,153914,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,106761,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -45,State-gov,74305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -54,Local-gov,113000,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,272669,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,0,30,Hong,<=50K -55,Private,377113,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K -30,Private,157778,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -44,Private,210525,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,309513,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,212780,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K -42,Private,183205,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -36,Self-emp-not-inc,283122,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,60,United-States,>50K -22,Private,126945,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,159323,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,65,Canada,<=50K -27,Private,358636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,70,United-States,<=50K -27,Private,146764,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -45,Private,162958,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Self-emp-inc,95997,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -49,Local-gov,98738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -69,Private,188643,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,1429,30,United-States,<=50K -45,?,112453,HS-grad,9,Separated,?,Not-in-family,Asian-Pac-Islander,Male,0,0,4,United-States,<=50K -40,?,428584,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,3464,0,20,United-States,<=50K -45,Private,358259,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Local-gov,122353,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K -45,State-gov,102308,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,368005,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,58359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -39,Private,92143,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,55,United-States,>50K -59,Self-emp-not-inc,170411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-inc,214542,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,218343,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,89508,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,60,United-States,<=50K -53,State-gov,41021,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,>50K -46,Self-emp-not-inc,28281,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -68,Private,73773,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -34,Self-emp-inc,229732,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,110009,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -31,Private,86492,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K -59,Self-emp-not-inc,148626,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,314659,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -61,Private,159046,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,170165,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,55,United-States,<=50K -22,?,291407,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -17,Private,56986,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -34,Private,119153,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,30653,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,2407,0,98,United-States,<=50K -46,Local-gov,274689,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,269060,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,331482,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -49,Private,159816,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,20,United-States,>50K -45,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,Private,212607,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,44,Puerto-Rico,<=50K -18,Private,242893,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,230403,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,316184,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -52,Private,114062,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,313930,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -37,Private,140673,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -31,State-gov,113129,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,65,United-States,<=50K -44,Private,109273,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -56,Private,125000,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -45,Private,253116,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -64,?,186535,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,3103,0,3,United-States,<=50K -69,Private,31501,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,145290,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -58,Self-emp-not-inc,96609,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,192381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K -26,Private,299810,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,252506,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,190228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,>50K -33,Private,215288,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Private,305319,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,179171,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,38,Germany,<=50K -48,Self-emp-not-inc,136455,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -19,Private,358631,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -45,Private,174794,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,56,Germany,<=50K -41,Self-emp-not-inc,44006,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Federal-gov,410446,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -46,Private,180532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,State-gov,126822,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,253973,10th,6,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,277788,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -36,Private,247936,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,2,Taiwan,<=50K -41,Private,131591,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,<=50K -29,Private,154571,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -38,Private,215419,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K -17,Private,99462,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -22,Private,208893,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,10,United-States,<=50K -25,Private,117827,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,93213,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -36,Private,135162,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,?,<=50K -47,Private,270079,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,27166,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,10520,0,40,United-States,>50K -33,Local-gov,342458,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -25,Private,236564,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,53926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,357173,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,?,102541,10th,6,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -41,State-gov,48997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,161153,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,110355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,107787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -37,Federal-gov,238980,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -58,Self-emp-not-inc,112076,Doctorate,16,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,1485,35,United-States,>50K -25,Private,389456,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -44,Federal-gov,161240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,280344,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Self-emp-inc,375422,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,South,<=50K -42,Private,259727,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,25236,0,20,United-States,>50K -45,Private,78507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,425622,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,132300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,276515,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K -48,Self-emp-not-inc,52240,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K -27,Private,156294,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,203003,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,Germany,<=50K -19,Private,205829,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -17,Private,216137,9th,5,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -57,Private,158827,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -29,State-gov,106334,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -42,Private,115511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,238685,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,311124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,176716,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -53,Private,95864,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,England,>50K -25,Private,67467,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,36012,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,210562,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,46,United-States,<=50K -35,?,98989,9th,5,Divorced,?,Own-child,Amer-Indian-Eskimo,Male,0,0,38,United-States,<=50K -45,Private,125489,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -31,State-gov,78291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,181716,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -21,Private,147655,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -26,?,152046,11th,7,Never-married,?,Not-in-family,White,Female,0,0,35,Germany,<=50K -34,Private,163110,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,158704,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,191681,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,207782,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,202373,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -25,Private,202091,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -35,Private,310290,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Black,Female,0,0,40,United-States,<=50K -38,Private,256864,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -37,Private,161111,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,State-gov,243986,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,51111,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,289950,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -36,Private,112271,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,416541,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -20,Self-emp-not-inc,115085,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,255014,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -27,Local-gov,199343,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -49,Private,72393,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -69,Self-emp-not-inc,349022,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,33,United-States,<=50K -27,Private,217200,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,365390,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,169101,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,317320,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,State-gov,334113,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,181307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -18,Local-gov,155905,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -29,Private,211482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -29,Self-emp-not-inc,467936,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,?,<=50K -33,Local-gov,190027,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,235379,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -18,Private,36275,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -34,Private,186269,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,350680,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Poland,<=50K -33,Private,264554,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -36,State-gov,110964,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1672,38,United-States,<=50K -35,Self-emp-not-inc,108808,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,285885,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,209464,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,70447,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -17,Private,276718,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -71,?,125101,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,92462,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Male,0,0,32,United-States,<=50K -18,Self-emp-not-inc,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,115815,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K -30,Private,186346,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Private,167483,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -29,Private,228346,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,381645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,?,293936,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,?,<=50K -27,Private,211208,11th,7,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,116825,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,80,United-States,>50K -31,Private,196125,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,57600,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K -49,Self-emp-inc,306289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,190539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,6849,0,48,United-States,<=50K -46,Private,155664,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,156822,10th,6,Never-married,Sales,Not-in-family,White,Female,0,1762,25,United-States,<=50K -49,Local-gov,193249,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,99679,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,43,United-States,>50K -37,Private,174308,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,50164,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,Private,197997,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,375657,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,147596,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,110798,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,185061,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -24,Private,201680,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,152071,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,>50K -32,Private,420895,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,194668,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -18,Self-emp-not-inc,161245,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,263831,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,323706,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -34,Private,316470,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,?,126402,11th,7,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -52,Self-emp-not-inc,95082,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,207201,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,>50K -46,Local-gov,313635,Prof-school,15,Separated,Prof-specialty,Not-in-family,Black,Male,4650,0,40,United-States,<=50K -47,Private,214800,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,298332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -39,Self-emp-not-inc,198841,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,>50K -32,Private,127895,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Private,529216,HS-grad,9,Separated,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K -48,Private,121253,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,2472,70,United-States,>50K -31,Self-emp-not-inc,44503,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,218184,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -27,Private,207611,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K -33,Private,195770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,267796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,191103,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K -29,Self-emp-not-inc,37429,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -21,?,233923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K -62,Private,121319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -65,?,38189,HS-grad,9,Never-married,?,Not-in-family,Black,Male,2346,0,40,United-States,<=50K -26,Private,177147,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,222635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,104455,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -25,State-gov,129200,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,274398,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,42044,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,273629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,196963,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,213844,HS-grad,9,Married-AF-spouse,Craft-repair,Wife,Black,Female,0,0,42,United-States,>50K -44,Private,205051,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,70282,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,332884,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,State-gov,154176,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1590,40,United-States,<=50K -43,Private,211580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,210945,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,180859,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Local-gov,244903,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -65,?,143118,HS-grad,9,Widowed,?,Unmarried,White,Female,0,2206,10,United-States,<=50K -32,Private,31714,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4865,0,40,United-States,<=50K -18,Private,162840,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -58,Private,473836,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,45,Guatemala,<=50K -51,State-gov,22211,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,>50K -25,Private,66935,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,188615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,210541,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,60639,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -29,Private,200381,11th,7,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Federal-gov,105586,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -58,Local-gov,101480,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,319366,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Haiti,>50K -58,Private,168887,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -68,Self-emp-inc,136218,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -22,Private,107801,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,219742,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -31,Private,234537,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,178686,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,107584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,190762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,Private,39478,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,70,United-States,<=50K -21,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -70,Self-emp-inc,232871,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -46,Self-emp-not-inc,246212,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,483822,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K -23,Private,157145,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,187625,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -32,Private,154120,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Trinadad&Tobago,<=50K -53,Private,177727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,85572,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Private,348886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -52,Private,361875,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -70,Private,117464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,16,United-States,<=50K -28,Private,246933,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,167316,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Private,220609,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -19,Private,234476,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,7,United-States,<=50K -24,Private,117583,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,48,United-States,<=50K -41,Private,112283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -38,Private,247547,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,278391,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K -49,Private,133917,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K -45,Private,183092,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,275421,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,195612,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -45,Private,103538,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,State-gov,111275,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,199374,Masters,14,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -41,Private,149102,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -90,Private,87372,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,72,United-States,>50K -38,Private,130277,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,1726,40,United-States,<=50K -18,Private,295607,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -42,State-gov,172307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,82777,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -46,Private,145041,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,2258,50,Dominican-Republic,<=50K -28,Private,167987,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,673764,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,State-gov,250807,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,202729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -46,Federal-gov,35136,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -23,Private,299047,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,136986,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -44,Private,33105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -42,Private,307638,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,24273,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -61,Private,90051,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3456,0,44,Canada,<=50K -27,Private,244315,HS-grad,9,Divorced,Craft-repair,Other-relative,Other,Male,0,0,40,United-States,<=50K -57,Private,197642,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,286750,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,36,United-States,<=50K -52,Private,172962,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,269300,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,60,United-States,<=50K -70,?,293076,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -39,Self-emp-not-inc,199753,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,236900,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,240323,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K -55,Self-emp-inc,114495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -36,Private,180150,12th,8,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,316820,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -58,Private,197114,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,227261,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,119793,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,?,173178,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,United-States,<=50K -51,Self-emp-not-inc,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -34,Self-emp-inc,198613,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K -37,Private,426350,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -31,Private,300687,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,State-gov,103588,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -17,Private,63734,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -51,Self-emp-not-inc,120781,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,70,India,>50K -21,Private,55465,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,160131,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,169069,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Local-gov,526734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -59,Private,121865,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,153205,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,<=50K -33,Private,125762,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -47,State-gov,237525,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,185480,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,180714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,48,United-States,<=50K -29,Private,37599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K -36,Private,90897,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,198614,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,8,United-States,<=50K -48,Private,195554,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,85625,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -20,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,209867,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,13550,0,45,United-States,>50K -41,Private,193626,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,28291,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,82,United-States,<=50K -18,Private,423024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,200734,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -65,Private,165609,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -37,Private,635913,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,>50K -37,Private,94331,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,250322,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,271901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K -62,Private,197286,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,Germany,<=50K -27,Private,279872,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,168001,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -21,Private,162869,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -29,State-gov,147256,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,187322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K -24,Private,162958,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1980,50,United-States,<=50K -41,Self-emp-not-inc,344624,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Private,187370,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,70,United-States,>50K -38,Self-emp-not-inc,37778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -61,?,113658,10th,6,Divorced,?,Other-relative,White,Female,0,0,20,United-States,<=50K -60,Private,151369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,206008,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K -46,Private,214955,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,386877,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,4650,0,40,United-States,<=50K -80,?,30680,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -49,Private,218357,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -48,Private,449354,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,45,United-States,>50K -37,Private,222450,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2339,40,El-Salvador,<=50K -34,State-gov,259705,Some-college,10,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,259505,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,60459,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -45,Private,26781,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K -24,Private,241582,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,33,United-States,<=50K -42,Private,173628,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,378384,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -27,Private,139903,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -22,Private,240063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -52,Private,374883,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,292511,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -37,Self-emp-not-inc,301568,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -45,Private,129387,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,<=50K -37,Local-gov,128054,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,267412,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -72,?,235014,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2465,40,United-States,<=50K -24,Self-emp-not-inc,267396,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,213719,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -45,Private,178922,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -81,Private,364099,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,154604,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,103331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,188519,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -50,State-gov,137815,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Private,271710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,145033,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -21,Private,118712,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K -22,Private,401335,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -19,Private,198668,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Federal-gov,106179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K -38,Private,154541,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -52,Federal-gov,165050,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K -46,Private,328216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,123424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,438711,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -28,Private,490332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -33,Private,109920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -59,Private,157749,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,3004,40,United-States,>50K -41,Private,223548,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -32,Private,113453,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,>50K -53,Private,171924,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14344,0,55,United-States,>50K -69,Private,106595,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,40,United-States,<=50K -41,Private,132853,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,126675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,70554,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,347491,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,46,United-States,<=50K -25,Private,460322,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K -34,Private,127195,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,154227,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,217826,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K -23,Private,352139,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -58,Private,206532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,108426,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,England,<=50K -34,Private,226525,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,254547,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,20,United-States,<=50K -26,Private,51961,12th,8,Never-married,Sales,Other-relative,Black,Male,0,0,51,United-States,<=50K -90,Private,313986,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,114691,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -29,Private,33436,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,42,United-States,<=50K -55,Private,129263,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,116234,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -29,Private,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K -29,Private,222249,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -20,Private,103840,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K -23,Private,38707,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -26,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,251229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,172232,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -32,Private,267458,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,226608,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,Guatemala,>50K -45,Private,88061,11th,7,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -42,Private,176716,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Private,256522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -50,Private,166565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,163396,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -74,Private,188709,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -32,Local-gov,144949,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,201229,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,8,United-States,<=50K -36,Private,181553,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -42,Local-gov,227065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,22,United-States,<=50K -57,?,153788,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,99999,0,45,United-States,>50K -37,Private,238433,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -21,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -90,Local-gov,214594,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2653,0,40,United-States,<=50K -33,Self-emp-not-inc,132565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,82775,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,543028,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,62278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,163687,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -34,Private,137088,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,57691,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K -81,Private,39895,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,2,United-States,<=50K -30,Private,328734,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,98995,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K -24,Private,194630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,Self-emp-inc,102771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -27,Private,211184,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K -23,Private,39182,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,188763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -51,Private,115025,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K -52,Private,186826,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,40,United-States,>50K -60,Private,114263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Hungary,>50K -51,Private,176969,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,328216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -29,?,207032,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,42,Haiti,<=50K -33,Local-gov,147654,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -49,Self-emp-inc,330874,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -51,Self-emp-inc,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -27,Local-gov,52156,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -59,Private,284834,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,2885,0,30,United-States,<=50K -49,Local-gov,107231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K -28,State-gov,181776,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,70,United-States,<=50K -43,Private,174295,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -32,Self-emp-not-inc,134727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,175804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,193374,1st-4th,2,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,254152,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,210648,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Private,238002,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K -75,Private,187424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -37,Self-emp-not-inc,298444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,187795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,Private,193172,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,124483,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,25,India,<=50K -21,?,72953,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,149640,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,202872,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K -37,Federal-gov,90881,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,8614,0,55,United-States,>50K -37,Private,233571,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,37,United-States,>50K -39,Private,272950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -36,Private,19914,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,Private,188352,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,437318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,Private,207789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K -42,Self-emp-not-inc,198692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -35,?,103710,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K -32,Self-emp-not-inc,27207,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -20,Private,277700,Preschool,1,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -27,Self-emp-not-inc,259873,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K -26,Private,71009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -54,Private,165001,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -43,State-gov,145166,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K -53,Private,337195,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,314182,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,83508,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,99,United-States,<=50K -58,Private,314153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,171344,11th,7,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,36,Mexico,<=50K -47,Private,73064,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K -38,Private,80680,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,148550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,328239,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,155697,9th,5,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K -60,Private,184242,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -28,Private,132078,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,470875,HS-grad,9,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,32,United-States,<=50K -25,Local-gov,124483,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -27,Private,184078,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,141748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -21,Private,176262,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -22,?,261881,11th,7,Never-married,?,Other-relative,Black,Female,0,0,15,United-States,<=50K -39,State-gov,99156,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -32,Private,351869,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,45,United-States,>50K -21,Private,190761,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -68,Private,107627,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -46,Self-emp-not-inc,504941,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,87520,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,262402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,306790,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Local-gov,596776,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Guatemala,<=50K -29,Private,464536,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,Federal-gov,21876,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,381769,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,175789,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -54,?,187221,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,119992,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,383637,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,385278,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,<=50K -50,Private,28952,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,39,United-States,<=50K -22,Private,137862,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,<=50K -32,Private,103608,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -44,Private,92649,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -34,Private,174789,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,278322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,185647,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,State-gov,140851,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,461725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,245372,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,203051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K -19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -61,Private,119684,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,84250,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -59,Private,216851,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,State-gov,117927,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Local-gov,154891,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,52,United-States,<=50K -22,Private,335950,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,70,United-States,<=50K -27,Private,134048,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,147560,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -48,Self-emp-inc,30575,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -27,Private,37599,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -33,Private,203488,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -45,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,190040,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,219745,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,251091,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,Puerto-Rico,<=50K -18,Private,120599,11th,7,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,56026,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K -57,Private,47619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,226311,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,<=50K -37,Private,294292,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,353628,10th,6,Separated,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -35,Private,32126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,210945,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,77,United-States,<=50K -58,Self-emp-not-inc,359972,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K -58,Federal-gov,319733,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -52,Self-emp-inc,234286,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -32,Federal-gov,149573,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,55395,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,309028,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,111067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,34218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,126613,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,45912,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -53,Private,157069,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -52,Private,99682,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,52,Canada,>50K -47,Private,229737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -74,Private,260669,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,1,United-States,<=50K -57,Federal-gov,250873,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,106207,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,84278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,?,>50K -39,Private,286730,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -20,State-gov,432052,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,15,United-States,<=50K -50,Self-emp-inc,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,48,United-States,<=50K -17,Private,218361,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,12,United-States,<=50K -49,Private,23074,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -42,Private,154076,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -35,Private,171968,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,459189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-not-inc,284343,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,198282,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -17,?,45037,10th,6,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -25,Local-gov,366796,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,341672,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,60,India,<=50K -34,Private,216864,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,3770,45,United-States,<=50K -17,Private,73820,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -45,Self-emp-inc,200825,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -68,Local-gov,242095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K -30,Federal-gov,355789,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,50,United-States,<=50K -20,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,225053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -42,Private,204235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,192652,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -49,?,296892,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -34,Local-gov,206707,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -62,?,352156,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -41,Local-gov,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -46,Self-emp-inc,235320,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -18,Private,378707,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,151771,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,69251,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -45,Self-emp-inc,108100,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,99999,0,25,?,>50K -33,Federal-gov,391122,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -53,Private,55861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,302406,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Federal-gov,19914,Some-college,10,Widowed,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K -78,Self-emp-not-inc,213136,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,24,United-States,<=50K -60,Private,31577,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -18,State-gov,191117,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,121712,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,315804,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Local-gov,131310,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,335997,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -50,Private,280278,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -25,Private,193379,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,?,169758,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -75,Private,233362,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,310483,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Local-gov,446358,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Mexico,>50K -55,Self-emp-not-inc,189721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -53,Private,149217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -68,Private,50351,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,6360,0,20,United-States,<=50K -19,Private,179422,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,?,142719,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K -41,Private,145441,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -56,Private,195668,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Cuba,>50K -29,Private,142760,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,111985,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K -53,Private,95647,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,Private,36877,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -24,Private,165107,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,34066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -47,Local-gov,242552,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,259531,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,150076,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,92609,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -34,Private,405386,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,28,United-States,<=50K -57,Self-emp-inc,257200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,State-gov,201117,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,334427,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,36,United-States,<=50K -61,Private,146788,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,99065,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -27,Private,190303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,386643,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -35,Local-gov,258725,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,157287,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,128378,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,124020,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Private,182689,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,103406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -51,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Federal-gov,359249,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,323069,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,880,45,United-States,<=50K -42,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,48,United-States,<=50K -27,Private,211570,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -39,Private,189623,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -18,Private,232082,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,306908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,230959,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,195253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,241306,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,State-gov,185590,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -48,Private,169324,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,Haiti,<=50K -29,Self-emp-inc,31778,HS-grad,9,Separated,Prof-specialty,Other-relative,White,Male,0,0,25,United-States,<=50K -52,Private,163998,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K -51,Federal-gov,190333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,133050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -66,?,31362,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -38,Private,189922,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-not-inc,238188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K -42,State-gov,74334,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -35,Private,187167,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,111779,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,36,United-States,<=50K -19,?,138153,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -46,Local-gov,226871,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K -51,Self-emp-not-inc,73493,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -51,Private,246519,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2105,0,45,United-States,<=50K -23,Private,132556,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,235786,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -24,Local-gov,317443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -47,Private,97176,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,275154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,313573,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K -17,Private,143331,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -23,Local-gov,203078,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -77,?,232894,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -51,Federal-gov,68898,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -73,Local-gov,147703,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -40,State-gov,59460,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -46,Private,265105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,106471,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Federal-gov,337895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,203139,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,99357,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,30,United-States,>50K -18,Private,169882,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,12,United-States,<=50K -32,Private,217304,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K -34,State-gov,334744,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -45,Self-emp-inc,204205,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,349116,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Private,112497,9th,5,Married-civ-spouse,Sales,Own-child,White,Male,0,0,50,United-States,>50K -33,Private,157747,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,170214,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,Iran,<=50K -36,Private,218542,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,198986,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -30,State-gov,270218,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -63,Private,28334,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Private,356250,Prof-school,15,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,35,China,<=50K -48,Private,138970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -45,State-gov,156065,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,State-gov,264710,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -52,Local-gov,192563,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -19,?,182609,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -58,?,230586,10th,6,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,?,768659,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Local-gov,254146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -70,?,97831,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K -36,State-gov,77146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,202033,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,55743,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,45,United-States,>50K -38,Private,54953,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,177121,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,58,United-States,<=50K -56,Private,311249,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -38,Self-emp-not-inc,151322,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,State-gov,198741,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -19,?,140399,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K -61,?,187636,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -50,State-gov,211112,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -21,Private,91189,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -38,Self-emp-inc,85566,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -33,Private,247205,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,England,<=50K -24,Private,153078,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -22,?,204935,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,29974,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,10520,0,45,United-States,>50K -45,Private,175625,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -21,Private,118693,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,249860,11th,7,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,10,United-States,<=50K -24,Private,124242,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,337239,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -43,Private,128354,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -61,Private,362068,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,27242,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -27,Local-gov,255237,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,109015,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Federal-gov,454508,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,105239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,314539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -57,Federal-gov,21626,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,153205,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,India,>50K -31,Private,157640,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -44,Private,208606,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Private,320744,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,194456,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,>50K -51,Private,143822,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,355756,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,147206,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -52,State-gov,145072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,148549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -31,Private,172304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Local-gov,203067,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,196178,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -56,Private,257555,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,188278,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -49,Private,144514,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,202033,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,374580,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K -42,Private,184105,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,28,United-States,<=50K -25,Private,212495,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1340,40,United-States,<=50K -29,Local-gov,177398,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,195565,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -90,Private,84553,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,152023,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,73051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,223392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -41,Local-gov,125268,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Local-gov,216522,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K -20,Self-emp-not-inc,211466,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,80,United-States,<=50K -31,Local-gov,176185,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,?,<=50K -48,Private,349986,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,357173,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,34112,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,178282,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,36104,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,170772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -25,Local-gov,58065,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -25,Private,167031,Some-college,10,Never-married,Other-service,Other-relative,Other,Female,0,0,25,Ecuador,<=50K -46,Private,207940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -35,Private,357619,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,<=50K -58,Private,27385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Private,511517,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,257416,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,296897,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,242482,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,230438,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -74,?,29866,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -50,Private,217577,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,146767,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,44464,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,60,United-States,>50K -33,Private,122612,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K -26,Private,63234,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,4508,0,12,United-States,<=50K -46,Private,175625,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,195216,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -18,Private,163787,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,122346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,211128,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -28,Private,200511,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -45,Private,172822,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,2824,76,United-States,>50K -35,Private,215503,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Canada,<=50K -35,Private,110668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K -63,Private,71800,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K -23,Self-emp-not-inc,184370,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,128132,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -71,Private,139031,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,67386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,199856,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -32,Private,400535,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,180931,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,275884,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -69,Private,228921,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Male,0,2282,40,United-States,>50K -33,Private,376483,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,30,United-States,<=50K -32,Private,133530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -36,Private,131239,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,319733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,135056,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,196857,11th,7,Never-married,Adm-clerical,Own-child,White,Female,594,0,15,United-States,<=50K -43,Local-gov,105862,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K -27,Private,269444,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,81253,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -18,Private,155503,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,119665,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K -35,?,296738,11th,7,Separated,?,Not-in-family,White,Female,6849,0,60,United-States,<=50K -36,Private,108103,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,402397,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,60,United-States,>50K -26,Private,342953,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,115971,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,82783,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K -39,Private,255027,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,?,187167,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -42,Private,54102,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,241998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,20,United-States,>50K -36,Private,193815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -17,Private,311907,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,195327,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,85041,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,181755,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,354405,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Private,169699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,199288,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K -29,Private,108775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,29591,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -84,?,157778,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,United-States,<=50K -33,Private,34975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -41,State-gov,170924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,204984,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,83953,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -32,Private,261319,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -17,Private,96354,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,77845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1602,15,United-States,<=50K -40,Private,177905,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K -34,Private,338416,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,60,United-States,<=50K -22,Private,114357,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -41,Self-emp-not-inc,443508,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,217296,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -45,State-gov,36032,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Private,51290,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,109684,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,35,United-States,<=50K -23,Private,181659,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -31,Private,363130,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,18,United-States,<=50K -23,Federal-gov,41356,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K -21,Private,213015,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,2176,0,40,United-States,<=50K -43,Private,158528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,291568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,40,United-States,<=50K -35,Private,308691,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -53,Private,234721,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,140117,11th,7,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -40,Private,190507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -44,Private,254303,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Hungary,>50K -29,Local-gov,169544,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -37,Private,119929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -31,Private,279015,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,70,Taiwan,>50K -42,Private,335846,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -41,Private,32121,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -47,Local-gov,209968,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,37997,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,>50K -23,Private,33423,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,153291,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -30,Private,272451,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,209538,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,315128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K -31,Private,128065,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,160402,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -51,Private,104748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -49,State-gov,206577,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -55,Local-gov,171328,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -33,Self-emp-not-inc,125279,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,184147,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K -77,?,147284,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,United-States,<=50K -36,Local-gov,212856,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,23,United-States,<=50K -21,Private,109952,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,335104,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -31,Private,352465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -57,Private,172291,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -22,Private,141028,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -38,Self-emp-not-inc,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,<=50K -84,Private,388384,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,<=50K -47,Private,155489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,55,United-States,>50K -28,Private,67218,7th-8th,4,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,103772,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,State-gov,553473,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,48,United-States,<=50K -25,Private,111058,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -79,Self-emp-not-inc,84979,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -44,Self-emp-not-inc,483201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,State-gov,105479,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,179627,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,270551,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,199191,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -57,Private,279636,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -45,?,119835,7th-8th,4,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -73,Private,242769,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,England,<=50K -69,Private,164110,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,50,United-States,>50K -45,Self-emp-not-inc,239093,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3137,0,40,United-States,<=50K -36,Local-gov,282602,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Federal-gov,309778,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -39,?,71701,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,295510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -18,Private,115725,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -31,Private,93106,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,214956,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,188711,Bachelors,13,Never-married,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K -23,Private,224640,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,511331,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -49,Private,184285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Private,188503,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,105422,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,400416,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K -50,Private,128143,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -29,Private,383745,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,30,United-States,>50K -32,Private,367904,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -68,Private,104438,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Ireland,>50K -27,?,60726,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,United-States,<=50K -29,Private,136077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -38,Self-emp-inc,379485,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K -51,Private,263439,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,236262,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -63,Federal-gov,39181,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,United-States,>50K -53,Local-gov,130730,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -39,Federal-gov,178877,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-inc,170287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,163015,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,20,United-States,<=50K -39,State-gov,85566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,49893,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K -21,Private,83033,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K -44,Private,284652,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,162358,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K -45,Local-gov,192793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -50,Private,137299,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,476334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-inc,38472,Some-college,10,Widowed,Sales,Not-in-family,White,Female,14084,0,60,United-States,>50K -27,Private,240172,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,179378,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -24,Private,218215,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,167882,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,48,Haiti,<=50K -20,Private,151888,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,142076,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,298995,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K -36,Private,376455,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -39,Private,32146,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,314007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,78,United-States,<=50K -60,Private,124987,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -24,State-gov,257621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,State-gov,290614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,224108,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -33,Private,427812,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -55,Private,97197,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,State-gov,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Private,233461,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K -41,Private,32627,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,53206,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -59,Private,186385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,212888,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,Private,132805,10th,6,Never-married,Sales,Other-relative,White,Male,0,1980,40,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,50,United-States,<=50K -23,Private,105577,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,26,United-States,<=50K -42,Private,211940,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,333701,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -58,Federal-gov,200042,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -34,Private,158040,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,Private,169953,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,50411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,212125,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,308857,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Federal-gov,203637,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -17,?,159771,10th,6,Never-married,?,Own-child,Black,Male,0,0,6,England,<=50K -19,Private,35245,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -48,Local-gov,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,110408,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,158609,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K -62,Self-emp-not-inc,197353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -61,Local-gov,205711,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -39,Private,255503,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -32,Private,328199,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -34,?,133861,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -34,Private,554206,HS-grad,9,Separated,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K -31,Private,185732,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,33126,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,178778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K -18,?,96244,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -45,Local-gov,111994,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Self-emp-not-inc,165278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,138193,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,>50K -29,Private,190765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -51,Private,171275,7th-8th,4,Divorced,Other-service,Not-in-family,Other,Male,0,0,40,Peru,<=50K -25,Private,259300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -34,Private,157446,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -30,Private,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -41,Self-emp-not-inc,170214,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2179,40,United-States,<=50K -52,Self-emp-not-inc,72257,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,344381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,42,United-States,>50K -36,Private,99374,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Local-gov,33432,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -25,Local-gov,270379,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,114483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,157541,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,170850,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,?,<=50K -57,Private,220986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,241141,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K -30,Private,447739,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,196690,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1669,42,United-States,<=50K -26,Private,193945,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -69,Self-emp-not-inc,69306,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -45,Private,128736,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,386773,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K -33,State-gov,226296,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,184787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Private,192965,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,226525,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,256737,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -28,Private,273269,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Federal-gov,244689,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,110677,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -41,Self-emp-not-inc,200574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -34,Private,107624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,230224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -17,Private,323164,10th,6,Never-married,Craft-repair,Own-child,Other,Female,0,0,35,El-Salvador,<=50K -37,Local-gov,188391,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,60,United-States,>50K -30,Self-emp-not-inc,261943,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,Honduras,<=50K -36,Private,74791,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Male,0,0,60,?,<=50K -54,Private,283725,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,229029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K -59,Private,92141,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Private,242804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,19214,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,210765,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,356823,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,45,United-States,>50K -41,Private,33331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,482732,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,24,United-States,<=50K -46,Private,456062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -32,Private,857532,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,154950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,44,United-States,>50K -45,Private,257609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,142924,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,>50K -24,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,172822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3411,0,40,United-States,<=50K -43,Self-emp-inc,150533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K -50,Local-gov,97449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,35429,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,1506,0,40,United-States,<=50K -40,Self-emp-inc,102576,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,55,Trinadad&Tobago,<=50K -58,Private,316000,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,226452,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -20,Private,315135,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -23,Private,129767,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1721,40,United-States,<=50K -20,Private,135716,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -32,Private,118551,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -32,Private,129020,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,175414,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -22,Private,221480,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -67,?,209137,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -23,?,502633,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,154227,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,51201,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,228649,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -39,Private,179731,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,65,United-States,>50K -43,Federal-gov,136105,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1848,40,United-States,>50K -18,?,151463,11th,7,Never-married,?,Other-relative,White,Male,0,0,7,United-States,<=50K -39,Private,230356,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Self-emp-inc,39844,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,246891,Masters,14,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,333677,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,186145,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -43,Private,373403,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,165115,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,24266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -49,Private,169760,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -28,Private,132686,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -55,Private,169276,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -53,Private,177647,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,366065,Some-college,10,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,224377,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,111275,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,141626,Some-college,10,Never-married,Tech-support,Own-child,White,Male,2176,0,20,United-States,<=50K -59,State-gov,139616,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,162651,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K -36,Private,103110,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K -38,Private,179731,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K -40,Federal-gov,179717,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -37,Private,237943,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Poland,<=50K -34,Private,228386,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,70,United-States,<=50K -61,Private,125155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,308770,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -34,Private,226525,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,245491,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,99999,0,40,United-States,>50K -54,Private,57758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -35,Private,32528,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -31,State-gov,46492,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,?,210031,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,93930,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,148431,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K -53,Private,142411,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Portugal,<=50K -37,Private,54159,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Federal-gov,45937,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -53,Local-gov,140359,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,State-gov,30219,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,38,United-States,>50K -65,Private,170012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,<=50K -33,Private,91811,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,121070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -59,Private,357118,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -59,Self-emp-not-inc,195835,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,299507,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,219838,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,101094,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K -34,Private,96483,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,8614,0,60,United-States,>50K -41,Private,102085,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,157289,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -53,?,181317,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,403788,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,36,United-States,<=50K -49,Private,163021,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,217194,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,162302,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K -65,Self-emp-not-inc,225473,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Federal-gov,341051,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -25,Private,152035,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,245866,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,36064,12th,8,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,215479,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -18,?,297396,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -51,Local-gov,142411,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -39,Private,25803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -41,Private,115323,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,90415,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,58343,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,42,United-States,>50K -25,Private,140669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,85572,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,United-States,<=50K -45,Local-gov,318280,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Private,174964,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,155293,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,152021,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -41,Private,694105,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Local-gov,246862,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K -58,Private,147653,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K -42,Self-emp-inc,188738,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,129882,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,366088,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,113511,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,182689,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,339897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,407068,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -40,Private,223881,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,117983,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,113751,11th,7,Divorced,Sales,Own-child,Black,Female,0,0,37,United-States,<=50K -63,Self-emp-inc,165667,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -76,?,217043,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -46,Self-emp-inc,211020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,Germany,>50K -44,Local-gov,83286,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,131766,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K -43,Federal-gov,101709,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -21,Private,209067,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,216473,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -46,Private,165138,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -40,Local-gov,197012,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,8614,0,40,England,>50K -58,Private,570562,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -53,Local-gov,233722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,Poland,<=50K -51,Private,79324,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,138513,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,192485,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -22,Private,104266,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,150553,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -19,Private,162954,Some-college,10,Married-AF-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,169112,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,203561,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,56,United-States,>50K -24,Federal-gov,59948,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,161708,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,51799,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -47,Federal-gov,131726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K -21,?,117210,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,312771,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,266583,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,2829,0,38,United-States,<=50K -66,Private,146810,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K -32,Private,80145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -78,Self-emp-inc,188044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K -26,Private,252565,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,249385,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,61178,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,120268,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,70,United-States,<=50K -28,State-gov,38309,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,6849,0,40,United-States,<=50K -28,Private,123147,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K -27,Private,285294,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,60,United-States,<=50K -50,Private,221791,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,199018,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Private,241431,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,181822,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,230545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -38,Self-emp-inc,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K -31,Private,163516,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,470368,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -47,Local-gov,330080,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,250249,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -40,Private,277507,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,1669,40,United-States,<=50K -49,Self-emp-inc,327258,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,60,China,>50K -39,Private,167777,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -40,Federal-gov,73883,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,395368,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -48,Private,287480,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -25,Private,188767,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,388811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,57408,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,251905,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,40,Canada,<=50K -24,Private,399449,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,144064,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,284916,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K -47,Private,188081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -32,Private,103860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,112683,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -51,Private,239284,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,51025,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,Private,370837,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,173754,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -50,Private,174102,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -41,Private,117747,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -60,Self-emp-inc,160079,Masters,14,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -43,Private,557349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Yugoslavia,<=50K -23,Private,156513,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Private,144968,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K -47,Private,345493,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,55,Taiwan,>50K -39,Private,28572,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K -60,State-gov,265201,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -65,Private,155261,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Private,202115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -29,Federal-gov,41013,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -34,Private,101709,HS-grad,9,Separated,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,280005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -61,Private,716416,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -60,Self-emp-not-inc,21101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,98360,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,251120,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -29,Private,229729,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,816750,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,>50K -42,Private,366180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -36,Private,214807,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,37,United-States,<=50K -46,Private,105253,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -28,Private,398220,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -42,Self-emp-not-inc,24763,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -38,Self-emp-inc,179579,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Private,216934,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Portugal,<=50K -42,Local-gov,351161,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,157541,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,153160,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -52,Local-gov,74784,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -56,Private,87584,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,141807,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Poland,<=50K -43,Private,115178,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -47,Private,116641,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,4,France,<=50K -53,Local-gov,228723,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,40,?,>50K -25,Private,176047,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,2176,0,40,United-States,<=50K -46,Federal-gov,207022,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -73,Private,108098,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -41,Self-emp-not-inc,196001,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K -62,Self-emp-not-inc,159939,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,197905,Some-college,10,Widowed,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -41,Private,168293,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -52,Private,343440,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,183608,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,329783,10th,6,Never-married,Sales,Other-relative,White,Female,0,0,10,United-States,<=50K -49,Private,187634,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -59,Private,198435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,202950,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,416103,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -44,Local-gov,357814,12th,8,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K -35,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,35,United-States,<=50K -63,Private,216413,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,183887,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,Self-emp-not-inc,213024,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -50,?,257117,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,480861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,168009,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -60,Local-gov,195409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,52,United-States,>50K -24,State-gov,232918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -52,Private,155233,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,242521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -20,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,173963,11th,7,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,234474,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -22,Private,206861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,101345,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,1741,40,United-States,<=50K -54,State-gov,123592,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,3887,0,35,United-States,<=50K -24,Private,237262,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Self-emp-not-inc,120301,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,145271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -21,Private,153718,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K -43,Private,60001,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -26,Private,323044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,>50K -55,Private,127677,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,83141,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K -36,Federal-gov,930948,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,6497,0,56,United-States,<=50K -17,Private,146890,9th,5,Never-married,Farming-fishing,Own-child,Black,Male,0,0,20,United-States,<=50K -42,?,32533,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Self-emp-not-inc,203836,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,174056,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,200332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,146014,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -73,Local-gov,205580,5th-6th,3,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,6,United-States,<=50K -48,?,199763,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -34,Self-emp-not-inc,112650,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,128033,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -60,Self-emp-not-inc,282066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -27,Private,103524,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -25,Private,193787,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,182470,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -43,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,167651,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,Self-emp-not-inc,177825,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,1055,0,40,United-States,<=50K -52,Private,236180,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,203828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -70,Private,170428,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K -35,Self-emp-not-inc,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K -23,Private,378546,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,241350,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -53,Self-emp-not-inc,297796,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,181824,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -49,Private,149210,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -20,?,55263,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,141118,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,122385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Private,310639,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,150011,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,62258,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,109053,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -29,Private,179498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,<=50K -19,?,124651,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -42,Self-emp-not-inc,69333,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,80,United-States,>50K -90,?,313986,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K -59,Self-emp-inc,36085,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -22,Private,34443,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -28,Private,392487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -29,State-gov,73928,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -21,Private,347292,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,38918,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Germany,>50K -36,State-gov,97136,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,264936,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,270872,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,594,0,40,?,<=50K -46,Private,45288,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,198183,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Private,398874,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K -36,Private,167482,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,65,United-States,<=50K -62,?,263374,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,<=50K -17,Self-emp-inc,325171,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -36,Private,469056,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -58,Private,102509,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,257728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -70,Local-gov,88638,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,7896,0,50,United-States,>50K -36,State-gov,89625,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -50,Federal-gov,193116,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,138692,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,67311,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Canada,<=50K -51,Self-emp-not-inc,20795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,168854,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K -29,Private,115549,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2635,0,40,United-States,<=50K -52,Private,180195,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -49,Private,305657,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,151210,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,167868,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Private,53158,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Local-gov,236487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K -40,Private,353142,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Local-gov,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,149118,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,247711,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,344624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -42,Private,167174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K -49,Self-emp-not-inc,36601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -56,State-gov,138593,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,166088,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -55,Private,116442,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -48,Federal-gov,55377,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,Jamaica,>50K -39,Federal-gov,110622,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -24,Private,324960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -43,Private,227065,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -36,Private,136343,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,Private,175032,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K -68,Self-emp-not-inc,241174,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -52,Private,326156,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,62026,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -38,Private,98360,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,337488,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -38,Private,192337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -46,Private,185041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -31,Private,80511,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,44,United-States,<=50K -48,Private,193451,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,52267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K -56,Self-emp-not-inc,52822,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,198244,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -49,Private,165513,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,187505,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-not-inc,257250,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -41,Private,113823,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,195833,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K -22,Private,152328,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,226902,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,?,123983,Some-college,10,Never-married,?,Other-relative,Asian-Pac-Islander,Male,0,0,10,Vietnam,<=50K -24,Private,177125,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -65,State-gov,215908,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2174,40,United-States,>50K -48,Private,164984,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,169383,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Local-gov,194630,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,102270,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Self-emp-inc,133373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K -48,Private,247685,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -30,State-gov,70617,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,10,China,<=50K -26,Private,262617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -43,Private,338290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,70240,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -21,Private,25265,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,167790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,?,99543,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -60,State-gov,313946,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,136164,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,114459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -47,Private,218435,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,Cuba,<=50K -19,?,218471,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K -29,Self-emp-not-inc,341672,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,1564,50,India,>50K -39,Private,129573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -18,Private,150675,10th,6,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,131117,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,38,Columbia,<=50K -34,Self-emp-not-inc,196512,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,2472,35,United-States,>50K -41,Private,111891,HS-grad,9,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K -40,Private,180985,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,111721,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -62,Private,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K -27,Private,31493,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -36,Private,135289,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -20,Private,211293,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K -18,?,163085,HS-grad,9,Separated,?,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,411797,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,178037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,148222,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,?,183408,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,192924,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,245361,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,195144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,149102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1980,40,United-States,<=50K -26,Private,219199,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,87207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -35,Private,38245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,130968,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,160647,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K -35,Private,167140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -52,Private,67090,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -52,Private,147876,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,15024,0,60,United-States,>50K -29,Private,84366,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -58,Private,180980,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,42,France,<=50K -45,Private,155659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -33,Self-emp-not-inc,48702,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -31,Federal-gov,30917,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K -21,State-gov,56582,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K -60,Private,173960,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K -30,Self-emp-not-inc,116666,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,>50K -49,Private,50282,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,45,United-States,<=50K -41,Self-emp-not-inc,113324,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -43,Private,111483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -27,Private,318639,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Mexico,<=50K -31,Private,96245,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K -36,Private,195148,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,386397,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -45,Private,187730,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,260019,7th-8th,4,Never-married,Farming-fishing,Unmarried,Other,Male,0,0,36,Mexico,<=50K -41,Private,204662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -37,Self-emp-not-inc,121510,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K -35,Private,105821,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -28,Private,213152,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,>50K -36,Private,85272,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -20,Private,219835,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K -26,Private,158846,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -38,State-gov,343642,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -31,Private,258932,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,80,Italy,<=50K -32,Private,200246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,94606,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -50,Federal-gov,184007,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,140644,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -23,Private,181820,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K -61,Private,103575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -24,Private,22966,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,82540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,125856,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -17,Private,74706,11th,7,Never-married,Priv-house-serv,Own-child,White,Male,0,0,20,United-States,<=50K -59,?,184948,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,185480,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,289442,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,104333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,197997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -72,?,173427,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Cuba,<=50K -26,Private,302603,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -33,Private,158800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,401069,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,39,United-States,<=50K -30,Private,182191,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,38,United-States,<=50K -38,Private,179481,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -37,Private,185744,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K -39,Private,99270,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,State-gov,85218,Masters,14,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,<=50K -17,Self-emp-not-inc,181317,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -40,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Private,168212,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K -35,Private,112271,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,259510,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K -21,Private,204596,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -54,Private,90363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,142566,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,113601,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,96287,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Private,109133,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -44,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -47,Self-emp-inc,110901,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -18,Private,51789,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -20,Private,228709,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,276087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K -22,Private,184813,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -68,Private,67791,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,178623,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,<=50K -22,State-gov,201569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -68,Private,148874,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,44,United-States,<=50K -26,Federal-gov,271243,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -23,State-gov,231929,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -23,Private,161478,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,23,United-States,<=50K -19,?,218171,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,2,South,<=50K -30,Private,173647,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,?,76860,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,1,United-States,<=50K -52,Local-gov,330799,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,155172,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,116878,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,>50K -46,Local-gov,316205,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -24,Private,202721,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,127384,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -64,Private,159715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -73,Self-emp-not-inc,29306,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,278736,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -64,Self-emp-inc,115931,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,62793,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -20,?,119156,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,303240,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -43,Local-gov,194360,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -47,Private,140045,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Local-gov,34878,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,234663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,138370,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -29,Private,367706,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Local-gov,153976,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,178037,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,Ireland,<=50K -23,Private,259301,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,?,191982,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,10,Poland,<=50K -54,Self-emp-not-inc,33863,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -21,Private,244312,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,30,El-Salvador,<=50K -44,Self-emp-not-inc,52505,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -22,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,227266,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -42,Federal-gov,52781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -50,Private,138944,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Federal-gov,306707,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,12,United-States,<=50K -42,Local-gov,180318,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K -37,Private,106043,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -44,Local-gov,177240,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -30,Private,129707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -33,Self-emp-not-inc,520078,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Male,0,0,60,United-States,<=50K -46,State-gov,178686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -22,Private,180449,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,28,United-States,<=50K -57,?,76571,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,214689,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -50,Private,77521,11th,7,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,495888,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -35,Local-gov,246463,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Self-emp-not-inc,36218,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,116372,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -41,Self-emp-not-inc,287037,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -64,State-gov,152537,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,123403,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,195176,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -55,Local-gov,110490,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,<=50K -19,Private,242941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,10,United-States,<=50K -23,Private,307149,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -46,Self-emp-inc,222829,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -42,Self-emp-not-inc,166813,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,159911,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -39,Private,176186,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -27,Private,80165,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -63,Private,38352,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,108307,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -68,?,152157,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,State-gov,59342,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K -47,Private,245724,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,22900,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,?,52728,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,404599,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,70,South,<=50K -33,Self-emp-not-inc,42485,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -36,Private,139703,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,214303,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,?,<=50K -45,Local-gov,119199,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K -41,Private,311101,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Local-gov,95450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -31,Private,83425,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -62,State-gov,199198,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,152046,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Guatemala,<=50K -54,Private,101017,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,95763,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Self-emp-inc,75742,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,El-Salvador,>50K -25,Self-emp-not-inc,193716,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,223352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,1055,0,30,United-States,<=50K -28,Private,194690,7th-8th,4,Separated,Other-service,Own-child,White,Male,0,0,60,Mexico,<=50K -26,Private,150062,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,192978,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,204244,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -20,Private,194138,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -58,Federal-gov,244830,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K -59,Federal-gov,134153,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,38,United-States,>50K -29,Private,360401,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,48,United-States,<=50K -27,Private,87006,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1579,40,United-States,<=50K -27,Self-emp-not-inc,70657,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -64,Local-gov,182866,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -63,Federal-gov,154675,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,203160,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,28,United-States,<=50K -19,Private,105908,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K -45,Self-emp-not-inc,48553,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,219591,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,137142,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,52630,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,278924,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,87546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,367390,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -22,Private,190429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -59,Private,21792,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -46,Private,176814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -31,Federal-gov,386331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K -26,Private,176795,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K -27,Private,274964,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -20,Private,188923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -53,Local-gov,131258,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -50,Self-emp-not-inc,61735,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,>50K -47,?,149700,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,36,United-States,>50K -50,Private,194397,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,117158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -38,Private,204640,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,159577,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,217460,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,172307,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,172475,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -27,Private,53147,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -61,Private,85434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,372525,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Local-gov,50065,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Private,34626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K -40,Federal-gov,187164,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,174330,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,State-gov,285000,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Private,24384,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -42,Private,128354,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -41,Self-emp-not-inc,117012,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -60,Private,166789,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,1408,50,United-States,<=50K -70,?,230816,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,360457,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -34,Private,443546,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Germany,<=50K -44,Private,193755,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -37,Private,433491,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,181091,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,England,<=50K -51,Private,142717,Doctorate,16,Divorced,Craft-repair,Not-in-family,White,Female,4787,0,60,United-States,>50K -35,Private,241306,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,306215,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,189462,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1504,45,United-States,<=50K -35,Self-emp-inc,135289,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -64,Private,270333,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,19914,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K -55,?,229029,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5178,0,20,United-States,>50K -77,Private,235775,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Cuba,<=50K -55,Private,178644,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -47,Federal-gov,329205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,209691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K -39,Private,182828,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,408813,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Self-emp-not-inc,48014,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,?,139051,11th,7,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K -24,Private,275244,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,35,United-States,<=50K -59,Private,194573,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,183479,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,86745,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -42,Self-emp-not-inc,269733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K -62,?,54878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -19,Private,248339,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -47,Private,169324,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,35,United-States,>50K -71,Private,29770,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -23,Private,311376,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,313945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,355459,12th,8,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,35,United-States,<=50K -45,Private,370261,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,169435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,39,United-States,>50K -53,Private,108083,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -23,Federal-gov,53245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,110145,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,46221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -55,Self-emp-not-inc,170350,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,204052,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,119254,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,386036,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -35,?,98080,Prof-school,15,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,4787,0,45,Japan,>50K -33,Federal-gov,117963,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -62,Local-gov,117292,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K -18,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -61,Private,273803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,238188,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -28,Private,297735,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -40,Private,275446,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -45,State-gov,142167,Masters,14,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,?,<=50K -55,Private,156797,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Local-gov,136357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,155403,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -37,Private,295127,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,47,United-States,<=50K -61,?,584259,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -43,Private,258049,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,53,United-States,>50K -35,Private,336793,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Private,348960,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,156882,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,?,320084,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,55,United-States,>50K -40,Private,327573,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,193199,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,12,Poland,<=50K -40,Self-emp-not-inc,277488,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,83545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -35,Private,37655,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K -59,State-gov,139611,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,India,>50K -64,Federal-gov,316246,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,128272,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,14,United-States,<=50K -26,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,437200,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -21,State-gov,341410,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -22,Private,147655,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,271603,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,24,?,<=50K -42,Private,253770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,177733,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,35,Dominican-Republic,<=50K -45,Private,189564,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K -44,Self-emp-not-inc,202692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,255822,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,129298,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,177018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,133963,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -72,?,303588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -21,Private,204160,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K -26,Private,245628,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K -44,Private,116632,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,31659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,60,United-States,>50K -30,Private,154843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,India,<=50K -89,?,29106,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -46,Private,53540,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -68,Private,124686,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K -35,Private,241306,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -72,Private,192732,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -55,Private,179534,11th,7,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -21,State-gov,82497,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,89718,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2202,0,48,United-States,<=50K -53,Private,29557,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,147251,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K -46,State-gov,107682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,196674,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,75435,HS-grad,9,Divorced,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -49,Local-gov,40690,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -27,Private,292472,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -70,Private,262345,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K -44,Private,201495,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -33,Private,120201,HS-grad,9,Divorced,Adm-clerical,Own-child,Other,Female,0,0,65,United-States,<=50K -46,Private,101455,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,118149,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,181165,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,154571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -32,Private,172415,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,210867,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,216129,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -23,Private,38238,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,167658,12th,8,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K -54,Private,511668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K -65,Private,469602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -65,Private,176796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,37379,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,?,98265,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,135162,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Local-gov,172855,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,40,United-States,>50K -40,Private,145504,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,228057,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K -47,Self-emp-not-inc,172034,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -24,Private,304463,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -52,Private,292110,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,195727,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,161155,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K -38,Self-emp-not-inc,243484,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,>50K -45,Private,173658,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,184589,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K -26,Private,78424,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K -30,Private,341051,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -56,Local-gov,268213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,?,>50K -38,Private,183585,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,111450,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,155963,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -37,Private,228598,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K -30,Private,229051,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,37,United-States,<=50K -34,Private,200401,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,25,Columbia,<=50K -50,Private,141340,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,93225,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,158796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Philippines,<=50K -52,Self-emp-inc,101017,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K -35,Private,187119,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1980,65,United-States,<=50K -21,Private,688355,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,153932,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,2580,0,30,United-States,<=50K -39,Private,24106,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Philippines,>50K -35,Private,89040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -27,Private,137063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,36251,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -30,Private,113364,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Poland,<=50K -17,?,143331,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,175540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,29874,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,338611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,314373,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,145477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,118584,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,362835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -47,Private,178686,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,34506,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -54,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,132222,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K -74,?,292627,1st-4th,2,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,187666,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -44,Private,202565,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,State-gov,344381,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,75,United-States,>50K -34,Private,143582,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Japan,<=50K -25,Private,324372,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,224566,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -51,Private,87205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,England,<=50K -35,Private,452283,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,34465,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -44,State-gov,199551,11th,7,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,State-gov,254949,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,298717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,232713,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,594,0,30,United-States,<=50K -46,Private,295566,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,65,United-States,>50K -36,Private,99146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -31,Private,291052,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K -23,Private,27776,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,107584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -57,Private,182677,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,4508,0,40,South,<=50K -30,Private,207564,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,125531,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Self-emp-not-inc,120130,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -45,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-inc,154227,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Private,278576,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,102096,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K -52,Private,117496,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,1755,40,United-States,>50K -22,Private,40052,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,167106,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -31,Private,222130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -34,Private,132565,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,320615,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -41,Private,152292,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Local-gov,263650,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K -32,Private,65942,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K -40,Private,114580,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,Vietnam,<=50K -67,Self-emp-inc,73559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,50,United-States,>50K -28,Private,214858,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,170480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,Private,97295,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Private,181772,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,86505,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,541282,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,164113,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K -40,Private,197462,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -39,Private,185099,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -57,Self-emp-inc,172654,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K -41,Private,118212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -18,Private,188476,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -35,Local-gov,42893,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5721,0,40,United-States,<=50K -24,Private,155066,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -61,Self-emp-not-inc,219183,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,314177,10th,6,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -49,Private,252079,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -34,Private,247328,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,106951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K -29,Private,153416,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -32,Self-emp-inc,169152,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,80,Greece,>50K -32,State-gov,317647,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,179731,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -36,Federal-gov,116580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -45,Private,89325,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,120238,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,Poland,>50K -29,Private,180758,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Private,177366,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -28,Private,215873,10th,6,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K -73,Self-emp-inc,92886,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,Canada,<=50K -35,Private,146091,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,289669,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K -69,Self-emp-not-inc,37745,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -33,Private,125249,HS-grad,9,Separated,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,503923,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K -22,Private,191455,Some-college,10,Married-civ-spouse,Tech-support,Wife,Other,Female,0,0,15,United-States,<=50K -55,Private,162205,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,72,United-States,>50K -27,Private,168470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,238367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,171824,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -23,Private,138037,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,1590,50,United-States,<=50K -35,Private,108907,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -22,State-gov,214731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -29,Private,183111,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -36,Private,109133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,189888,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,218596,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,State-gov,167265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -26,Private,288959,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,36,United-States,<=50K -25,Private,390316,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -45,Private,184581,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,120645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,207733,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -39,Self-emp-not-inc,339029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,109339,11th,7,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,46,Puerto-Rico,<=50K -60,Self-emp-inc,75257,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -50,Private,205100,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,<=50K -46,Private,105327,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,214858,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,223851,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K -20,Private,179423,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,8,United-States,<=50K -26,Self-emp-not-inc,33016,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -47,Private,196707,Prof-school,15,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,111746,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,115304,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,279129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K -40,Private,121956,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,Cambodia,>50K -25,Private,248612,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -42,Self-emp-inc,125846,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K -24,Private,111445,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -28,Private,209301,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,United-States,>50K -22,?,229799,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,45,?,<=50K -62,Private,71751,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,98,United-States,>50K -23,Private,320294,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Local-gov,50649,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,169104,Assoc-acdm,12,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -43,Self-emp-not-inc,245056,Preschool,1,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Haiti,<=50K -50,Private,110327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -22,?,199005,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,192779,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -41,Local-gov,169995,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -24,Local-gov,174413,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1974,40,United-States,<=50K -18,Private,198087,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -30,Private,214063,Some-college,10,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,72,United-States,<=50K -38,Private,104727,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,96245,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,148906,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,186110,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,154035,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,Black,Male,0,0,32,United-States,<=50K -40,Private,179809,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -39,Private,241998,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,242968,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -57,Private,176904,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,200574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,83141,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,1876,40,United-States,<=50K -26,Private,185885,Assoc-acdm,12,Never-married,Tech-support,Other-relative,White,Female,0,0,20,United-States,<=50K -49,Private,181717,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -17,Private,194717,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -17,?,220302,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,State-gov,305319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -19,Private,237848,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,3,United-States,<=50K -24,Private,110371,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Local-gov,214143,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -18,Private,25837,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K -32,Private,236415,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Local-gov,244268,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,238912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,288585,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,20,South,<=50K -47,Private,148995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -22,Private,242138,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -17,?,47407,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -29,Private,29261,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -76,?,32995,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -23,Private,162945,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2377,40,United-States,<=50K -43,Private,260761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -18,?,103497,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -35,Private,97554,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,232145,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,54553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -66,Private,214469,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,13,United-States,<=50K -17,Private,163836,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -22,State-gov,96862,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,117528,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Federal-gov,343052,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,208872,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,98,United-States,<=50K -51,Private,238481,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1902,42,United-States,>50K -59,Private,144092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,376416,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,207848,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,282398,Some-college,10,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K -56,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -42,Private,252392,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,277647,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -37,Federal-gov,141029,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,191335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -17,Private,272372,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,7,United-States,<=50K -28,Private,270887,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -32,Private,296466,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -24,Private,128061,HS-grad,9,Never-married,Other-service,Own-child,White,Female,594,0,15,United-States,<=50K -40,Private,104719,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,56520,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,108542,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K -22,Private,164922,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,50411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,184440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K -29,Private,241431,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -43,Local-gov,198096,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,306460,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,186434,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K -41,Private,274363,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,42,United-States,>50K -57,Private,138777,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,45,Germany,>50K -44,Private,202872,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,346189,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,87076,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -22,Private,364342,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,25,United-States,<=50K -52,Private,199688,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,38950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -48,Federal-gov,88564,7th-8th,4,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,99373,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,427744,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,215441,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,?,<=50K -27,Local-gov,209109,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -68,Private,185537,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -61,Local-gov,119563,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -69,Self-emp-not-inc,185039,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,12,United-States,>50K -55,?,227203,Assoc-acdm,12,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -33,State-gov,73296,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,1831,0,40,United-States,<=50K -44,Private,178385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,India,<=50K -49,Private,256417,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,Mexico,<=50K -24,Private,49218,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,186009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,60,United-States,<=50K -44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -32,Local-gov,210973,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,?,196943,Some-college,10,Separated,?,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,70377,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,100579,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,150057,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Local-gov,117789,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,339767,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,England,>50K -46,Private,282538,Assoc-voc,11,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,286406,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K -47,Private,101825,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -24,State-gov,197731,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,49,United-States,>50K -56,Private,135458,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Private,97741,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -18,Private,245199,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,170091,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -26,Private,365289,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,303092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,161463,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -36,Private,174308,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,175648,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,257250,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -30,Private,87418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,442429,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,Mexico,<=50K -27,Private,175821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,34,United-States,<=50K -28,Private,209109,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,51944,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,4386,0,40,United-States,>50K -63,Private,287277,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,257750,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -22,Private,267174,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -25,?,257006,11th,7,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,183384,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,189679,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -31,Private,271162,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,466458,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -43,State-gov,222978,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -42,Self-emp-not-inc,121718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -24,Private,236427,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,160323,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7688,0,40,United-States,>50K -53,Private,217201,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,>50K -33,Self-emp-not-inc,94041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1974,30,United-States,<=50K -22,Private,203894,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,24,United-States,<=50K -75,Self-emp-inc,125197,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,26,United-States,<=50K -45,Local-gov,191776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,180954,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,168232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -59,State-gov,192258,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,184271,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -30,Federal-gov,321990,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,Cuba,>50K -27,Private,138705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K -31,Private,97453,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,228306,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K -36,Private,168170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -19,Private,40425,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K -29,Private,326330,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K -25,Private,72294,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,145704,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3942,0,35,United-States,<=50K -22,Private,205939,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2202,0,4,United-States,<=50K -37,Private,136028,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,165510,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,209782,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,256967,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -40,Federal-gov,241895,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,168790,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -43,Self-emp-not-inc,150528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,144200,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,25,Columbia,<=50K -31,Self-emp-inc,72744,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K -41,Self-emp-not-inc,54611,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -27,Self-emp-not-inc,210020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,138441,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,385077,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,213321,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K -48,Private,172822,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,15020,0,48,United-States,>50K -77,Local-gov,177550,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,14,United-States,<=50K -64,State-gov,111795,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -54,Private,174102,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,165579,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,96170,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -58,Private,202652,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -36,Private,198237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -43,Local-gov,147328,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -36,Private,163278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,333677,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,36,United-States,<=50K -82,?,29441,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -69,Self-emp-not-inc,505365,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6514,0,45,United-States,>50K -45,Self-emp-inc,170871,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -60,Private,109530,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,257874,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Local-gov,141875,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,114927,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,103710,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,State-gov,121789,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,272896,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,212064,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,7443,0,35,United-States,<=50K -48,Private,196571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,?,224108,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,204074,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -21,?,156780,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,?,<=50K -34,Private,223267,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K -64,?,143716,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -61,Private,123991,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -44,Self-emp-inc,277788,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Portugal,>50K -19,Private,285750,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K -18,Private,108892,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -22,Private,215546,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -27,Private,69132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -45,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -35,Private,415500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,345789,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -31,Private,156743,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,76,United-States,>50K -27,Private,204497,10th,6,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K -43,Private,462180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -59,Private,220896,Prof-school,15,Divorced,Other-service,Not-in-family,White,Male,27828,0,60,United-States,>50K -20,Local-gov,298871,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,10,United-States,<=50K -59,Private,31137,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,State-gov,117471,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,131310,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -69,?,180187,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,6,Italy,<=50K -64,Local-gov,164876,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K -31,Private,58582,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K -33,Local-gov,147921,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,163578,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,201292,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,?,226883,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,75,United-States,<=50K -33,Private,169104,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -19,Private,426589,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -32,Private,239150,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,361405,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,?,334741,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -55,Self-emp-not-inc,200939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K -23,Local-gov,144165,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -45,Private,199625,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -24,Private,361278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,248145,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -29,Private,184806,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K -26,Private,291968,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -34,Private,130078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,?,>50K -33,Private,323619,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,110134,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,20728,HS-grad,9,Never-married,Sales,Own-child,White,Female,4101,0,40,United-States,<=50K -52,Private,370552,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K -58,State-gov,194068,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -24,Private,131220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,241951,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,31033,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -50,Private,98975,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -19,Private,210364,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -49,Self-emp-inc,131826,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Male,99999,0,50,United-States,>50K -23,Local-gov,250165,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,594,0,40,United-States,<=50K -31,State-gov,358461,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Private,141957,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,70,United-States,>50K -26,Private,166666,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,130931,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,415755,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -40,State-gov,353687,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -43,Local-gov,343068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,<=50K -31,Local-gov,279231,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,202339,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,34,United-States,<=50K -36,Private,749105,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -36,Private,188800,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -57,Private,372967,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,70,Germany,<=50K -35,Private,351772,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -40,Private,168936,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -42,Self-emp-not-inc,184378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,457453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,176452,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K -74,Self-emp-not-inc,92298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -38,State-gov,162424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Local-gov,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,240763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -18,Private,243313,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -24,Private,304386,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -47,Private,73394,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -40,Private,168071,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,3325,0,40,United-States,<=50K -42,Local-gov,318046,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,198861,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1669,40,United-States,<=50K -29,Private,195446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,178946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -35,Private,281982,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,339644,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,87510,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,224217,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,93140,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,28,United-States,<=50K -59,Private,140569,Some-college,10,Separated,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K -29,Private,309778,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,162869,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,65,United-States,<=50K -36,Private,127306,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,746660,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K -66,State-gov,148380,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,1424,0,10,United-States,<=50K -34,State-gov,355700,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -28,Private,183627,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-inc,266047,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -58,State-gov,198145,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -40,Private,144928,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,226629,12th,8,Separated,Sales,Unmarried,White,Female,0,0,34,United-States,<=50K -26,Private,31208,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,445382,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K -28,Private,350254,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -35,Self-emp-not-inc,147258,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -56,Private,157639,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Local-gov,326701,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,>50K -41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K -47,Self-emp-not-inc,61885,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Private,93476,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,2001,40,United-States,<=50K -50,Private,172942,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K -24,Private,182812,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,3325,0,52,Dominican-Republic,<=50K -33,Private,150324,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,49,United-States,<=50K -49,Private,176814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -27,Private,164607,Bachelors,13,Separated,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -34,?,143582,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,37,Taiwan,<=50K -23,Private,32950,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,163434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,345236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -20,?,318865,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,108435,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -33,?,192644,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,69867,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,192583,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,326587,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,268145,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,446358,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K -24,Private,184839,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,191460,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,548361,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K -39,Self-emp-not-inc,167106,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,72,South,<=50K -34,Private,23778,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,134470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2635,0,60,United-States,<=50K -29,Private,201022,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -32,Private,149531,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,134440,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -34,Private,112564,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,37932,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,State-gov,90803,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,202210,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,181992,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -24,Private,359828,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -26,Private,142506,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -42,Self-emp-not-inc,96524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,280758,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -38,Private,220694,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -49,Private,40000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,44,United-States,<=50K -56,Private,134756,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Local-gov,224185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,State-gov,68830,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,State-gov,147258,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,257148,Bachelors,13,Widowed,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -57,Private,191873,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,283602,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,59,Mexico,<=50K -57,State-gov,229270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,37,United-States,<=50K -23,Private,234302,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -70,Private,264098,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,2538,0,40,United-States,<=50K -53,Local-gov,200190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K -38,State-gov,364803,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K -44,Private,117936,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,224998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K -22,Private,184779,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,421449,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,182274,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -68,Self-emp-not-inc,128986,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,156261,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -34,Private,58305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1573,40,United-States,<=50K -30,Private,327112,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K -66,Self-emp-not-inc,167687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,50,United-States,<=50K -27,Private,328981,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -30,Private,326199,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -32,Private,242323,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,185359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,33084,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -26,Private,184872,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -48,Federal-gov,147397,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -37,Private,163199,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -72,Self-emp-not-inc,379376,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -32,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -38,Private,287701,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -34,Private,96480,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,247580,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K -46,Local-gov,364548,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,42,United-States,>50K -45,Private,181363,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -45,Private,140644,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,116338,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -38,Self-emp-not-inc,187346,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -27,Private,37088,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -44,Private,76196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,76893,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,93955,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -34,State-gov,61431,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Federal-gov,338242,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,410439,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -34,Private,236543,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -77,Self-emp-inc,29702,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -24,?,256240,7th-8th,4,Married-civ-spouse,?,Own-child,White,Male,0,0,60,United-States,<=50K -39,Private,325374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -59,Self-emp-inc,200453,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -65,?,192825,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -41,Private,237321,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K -17,Private,238628,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K -46,Local-gov,155654,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -37,Self-emp-inc,126675,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -37,Private,22494,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,41,United-States,<=50K -34,?,133278,12th,8,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K -59,?,147989,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -53,Private,49715,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,31588,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -44,Private,68748,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -71,Private,124959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,112351,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K -33,Private,237833,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Local-gov,216068,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Private,166662,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,285637,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K -34,Private,35743,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,200426,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -42,Private,139126,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,329852,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,126500,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -33,Private,129529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Private,157909,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,2964,0,60,United-States,<=50K -23,Private,69847,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -21,Private,156980,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -59,Federal-gov,51662,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K -23,Private,124802,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,?,226078,11th,7,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K -37,Private,278632,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,123429,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,279337,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -32,Local-gov,300687,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,127651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -20,Private,58222,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -60,Local-gov,141637,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,115057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,285295,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -29,Federal-gov,182344,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -46,State-gov,146305,Some-college,10,Divorced,Tech-support,Not-in-family,Other,Female,0,0,48,United-States,<=50K -76,Local-gov,259612,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,15,United-States,<=50K -26,Private,102476,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,64,United-States,>50K -47,Private,386136,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,149184,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -46,Federal-gov,308077,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -44,Private,167005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,United-States,<=50K -59,Private,283005,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,34816,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,<=50K -37,Private,241153,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -51,Private,328947,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,219737,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -38,Local-gov,91711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,22405,HS-grad,9,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,72,United-States,<=50K -44,?,210875,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -17,Private,175465,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K -31,Private,241880,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,45,United-States,<=50K -36,Private,233571,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,4,United-States,<=50K -23,Private,100345,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,15,United-States,<=50K -45,Private,155664,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,44,United-States,<=50K -22,Private,170583,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,376393,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,328663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,United-States,<=50K -25,Private,136226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,65225,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,26892,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -23,Private,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -59,Private,221336,10th,6,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,241126,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Private,185459,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Private,310632,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,374262,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,189703,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -29,Private,137063,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,38,United-States,<=50K -30,Private,108247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,178768,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,Private,209205,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -50,Private,113290,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -36,Local-gov,359001,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -63,Private,96299,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,>50K -70,Private,177906,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K -51,Private,86373,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K -72,Federal-gov,39110,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,Canada,<=50K -41,Private,22419,9th,5,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -60,?,76449,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,215790,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,22,United-States,<=50K -18,Private,156056,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,99872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -52,Federal-gov,290856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,State-gov,134813,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,>50K -53,Private,68684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,199018,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -23,Private,46561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,State-gov,324637,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,State-gov,33155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -42,Private,139012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -22,Private,180190,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,168863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,77572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,34,South,<=50K -36,Private,146625,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,12,United-States,<=50K -45,Private,77927,Bachelors,13,Widowed,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -20,Private,33221,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -53,Private,304504,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K -44,Private,174283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -67,Private,166591,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,1848,0,99,United-States,<=50K -70,Self-emp-not-inc,172370,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -30,Private,169186,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -22,Private,52596,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -30,State-gov,312767,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,188246,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -57,Private,133201,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,1408,40,France,<=50K -37,Private,99270,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,181313,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,28008,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,193050,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K -75,Self-emp-not-inc,124256,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2149,35,United-States,<=50K -39,Private,142707,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,144169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -18,Private,374969,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,<=50K -35,Private,144322,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,103179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -39,Self-emp-not-inc,178948,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K -55,Private,163083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,269317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -33,Private,286675,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,254211,Masters,14,Widowed,Sales,Unmarried,White,Male,0,0,50,El-Salvador,>50K -27,State-gov,56365,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -45,Private,104521,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,594187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -34,Private,108837,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -23,Private,65038,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,197860,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,158363,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,191389,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -40,Private,116218,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -43,Federal-gov,115562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,54102,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Private,112383,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,110213,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -29,State-gov,243875,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,176517,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -37,Private,30267,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K -30,Private,195447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Local-gov,167063,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,128055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -48,Self-emp-not-inc,117849,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,209770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,175083,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -19,Private,291429,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -48,Private,109832,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -37,Local-gov,203628,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,54,United-States,>50K -33,Private,63184,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,196975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,56651,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -31,Private,127651,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,38,United-States,>50K -46,?,443179,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -52,Private,123780,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -39,Private,286789,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,209109,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,54465,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -60,Private,174486,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,127366,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,109133,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,95552,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,351084,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,88419,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,England,<=50K -23,?,190650,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -56,Self-emp-not-inc,111385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,380922,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -43,Local-gov,163434,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -53,Private,155963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -57,Private,204816,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -41,Private,325786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,State-gov,194260,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -45,Self-emp-not-inc,277434,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -54,Self-emp-inc,119570,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -53,Private,288020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -53,Private,183668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,34,United-States,<=50K -38,Private,343403,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -24,Private,50341,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,170411,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,4101,0,38,United-States,<=50K -19,State-gov,67217,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,594,0,24,United-States,<=50K -40,Private,289636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,68678,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,354351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,496526,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,88432,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,318061,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,80,United-States,<=50K -34,Private,90705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,40,United-States,<=50K -32,Private,29144,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,128829,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,128796,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Federal-gov,32950,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,<=50K -80,?,172826,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,410240,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,182896,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,328570,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K -35,Private,465326,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,107417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,209317,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -28,Self-emp-not-inc,410351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Poland,<=50K -26,Private,34161,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,188571,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -35,Self-emp-not-inc,188540,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,141253,10th,6,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K -24,Private,302195,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,?,449576,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,48,Mexico,<=50K -50,Private,173630,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -44,Local-gov,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,483261,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,240504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -30,Local-gov,339388,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,72,United-States,>50K -20,Private,32805,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,222162,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,306779,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K -37,Private,243409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,102828,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -23,Private,133239,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,301911,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -56,?,425497,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -34,Private,120461,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,362747,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -17,Private,364952,10th,6,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,111483,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -37,State-gov,26898,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,165599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -54,Private,88019,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -22,Private,89154,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -22,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Local-gov,347491,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,22907,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,170183,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,98168,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,>50K -44,Private,165815,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,538319,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -25,Private,193051,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K -51,Self-emp-inc,231230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -17,?,114798,11th,7,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K -36,Private,68798,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,181970,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,351161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,45,United-States,>50K -41,Private,109912,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,50,England,>50K -20,?,66695,Some-college,10,Never-married,?,Own-child,Other,Female,594,0,35,United-States,<=50K -26,Private,190916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,161478,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -45,Private,128141,11th,7,Separated,Tech-support,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -24,Private,109307,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -50,Private,312477,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,286435,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K -21,Private,55465,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -37,Private,50837,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Self-emp-inc,275366,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -73,?,99349,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -29,Private,205249,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -60,Private,252413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,>50K -26,Private,37898,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -38,Private,28887,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Local-gov,117109,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,27,United-States,<=50K -38,Self-emp-not-inc,261382,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,188436,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,765214,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2559,40,United-States,>50K -36,Private,203482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,195690,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,367533,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -50,Private,210217,Bachelors,13,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K -58,Private,259532,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -60,Local-gov,168381,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -58,Private,241056,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K -42,Local-gov,104334,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,El-Salvador,<=50K -18,?,312634,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -61,Private,385583,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,48585,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,<=50K -36,Private,416745,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -23,Private,197666,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,Greece,<=50K -36,Private,164866,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,205895,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,257683,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,168232,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,157749,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,504725,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,18,Guatemala,<=50K -22,Private,189888,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,227012,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,24395,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -38,Private,235638,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,166988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,372682,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -39,Private,185520,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,144086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,203967,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,63322,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Private,348430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,111949,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -47,Private,225065,5th-6th,3,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K -23,Private,158940,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,108574,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -24,Private,220993,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,396099,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,247880,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -20,Private,117222,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -50,Private,129673,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -19,Private,236879,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -47,Local-gov,284871,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -63,Private,134699,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -46,Self-emp-inc,175958,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K -33,Private,301867,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -32,Private,243988,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -33,?,186824,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,329993,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,209538,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,25249,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,293703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Private,269318,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,50,United-States,>50K -51,Self-emp-not-inc,323963,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -20,?,323309,HS-grad,9,Never-married,?,Own-child,Other,Male,0,0,60,South,<=50K -46,Local-gov,167159,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,>50K -37,Private,278576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -25,Private,185952,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,116960,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -40,Private,167725,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,309196,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,45796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -62,State-gov,101475,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,260496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Private,186706,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7688,0,40,United-States,>50K -39,Private,141802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,State-gov,126094,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,39,United-States,<=50K -30,Private,255486,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,25,United-States,<=50K -18,Private,106780,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -33,Private,179336,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,148485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,?,133983,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -71,Private,196610,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Male,6097,0,40,United-States,>50K -54,Local-gov,277777,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,40,United-States,>50K -39,Self-emp-inc,180804,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -65,Private,261334,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,Private,162297,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -32,Private,33117,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,462440,11th,7,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -47,Private,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,38,United-States,>50K -29,Private,197565,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,35,United-States,>50K -36,Private,130926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -41,Private,35166,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -43,Private,343061,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Cuba,<=50K -53,Private,123011,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K -44,Private,160837,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -80,Self-emp-not-inc,34340,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Federal-gov,115066,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,108887,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -51,Private,123780,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,49837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,State-gov,237873,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,214810,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,270379,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Female,0,0,35,United-States,<=50K -28,Private,224964,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -42,Private,112494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,35,United-States,>50K -33,Private,272411,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,409604,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -23,Private,76432,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,107793,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -54,Private,146834,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,262758,Assoc-acdm,12,Never-married,Other-service,Unmarried,Black,Male,0,625,60,United-States,<=50K -51,Local-gov,248327,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -39,Private,192337,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,Private,29375,HS-grad,9,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -20,Private,216563,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,180446,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -18,?,91670,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -63,Local-gov,197189,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,48,United-States,<=50K -26,Local-gov,189027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,89172,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,306646,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -63,Self-emp-not-inc,231105,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K -40,State-gov,195388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,119769,HS-grad,9,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,20,United-States,<=50K -37,Private,189878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,State-gov,220421,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Self-emp-inc,155259,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K -44,Private,205474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,?,173800,Bachelors,13,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Taiwan,<=50K -37,Self-emp-not-inc,103925,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -27,Self-emp-inc,120126,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,128516,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -67,?,101761,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -18,Private,161245,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -22,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Iran,<=50K -22,Private,120518,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,450580,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -52,Private,128814,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -50,Private,174655,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,223019,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -43,Local-gov,598995,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,42,United-States,<=50K -27,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -34,Private,289984,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -23,Private,231929,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,171840,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K -36,Private,126675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -73,Self-emp-not-inc,214498,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,12,United-States,<=50K -24,Private,509629,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -19,State-gov,144429,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -56,Private,67153,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -45,Self-emp-inc,81534,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -34,Private,154120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -54,Local-gov,178356,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -62,?,181782,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -27,Private,406662,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,4416,0,40,United-States,<=50K -42,Private,179524,Bachelors,13,Separated,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,109969,11th,7,Divorced,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -36,Private,132879,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K -59,Private,170148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -39,Self-emp-inc,114844,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -21,Private,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,343377,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,182855,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,116103,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,4934,0,47,United-States,>50K -55,Self-emp-not-inc,194065,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,207875,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -26,?,138685,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,108293,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,184078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,212685,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,39398,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,<=50K -29,Private,199499,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Federal-gov,78022,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Federal-gov,281860,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,Private,129010,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -32,Private,147284,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -18,Private,245486,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Self-emp-not-inc,194004,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -36,Federal-gov,253627,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K -37,Local-gov,265038,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -36,Private,169426,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -48,Self-emp-not-inc,171986,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -29,Private,152951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,174491,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -21,Private,43475,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,59932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,259087,11th,7,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,?,<=50K -18,Private,118847,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Self-emp-not-inc,193026,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -55,Private,70439,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -51,Local-gov,156003,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,166961,11th,7,Separated,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,211860,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,184456,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Greece,<=50K -54,Private,123374,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,139268,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -27,Self-emp-not-inc,301514,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -64,Private,250117,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,50,United-States,>50K -30,State-gov,361497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -21,Private,83033,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K -24,State-gov,165201,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -35,Private,217274,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,50402,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -23,State-gov,283499,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,214303,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -56,Private,128696,11th,7,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K -19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K -57,Private,337001,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,108293,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2205,40,United-States,<=50K -49,Private,402462,Bachelors,13,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,30,Columbia,<=50K -41,Private,208330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K -23,Private,60331,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,?,161288,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -45,State-gov,276157,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,67136,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Private,144860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -24,Private,247846,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,161092,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,209131,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,132145,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,150980,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,United-States,<=50K -38,Private,328301,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,61885,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -76,Private,116202,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -33,Private,185177,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,178649,Bachelors,13,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K -37,Private,112838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -72,State-gov,120733,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,246965,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,12,United-States,<=50K -27,Private,236481,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K -51,Self-emp-not-inc,43878,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,40135,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K -29,Private,105598,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,58,United-States,<=50K -18,Private,39222,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -48,?,289517,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -67,Federal-gov,231604,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,150080,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,100734,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,87771,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,192251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K -34,Self-emp-inc,215382,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K -37,Private,188576,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -38,Private,122076,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,43,United-States,>50K -63,Self-emp-not-inc,35021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,32,China,>50K -41,Self-emp-not-inc,38434,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -67,?,137894,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,16,United-States,>50K -53,Self-emp-inc,148532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -42,Self-emp-inc,23510,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,2201,60,India,>50K -19,Private,182355,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -43,State-gov,242521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,204516,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -41,Private,239296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,United-States,>50K -46,Self-emp-not-inc,57452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,105938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,20,United-States,<=50K -50,Private,99185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,207120,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,33272,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -50,Private,24013,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K -57,Private,562558,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,203392,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -39,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,260052,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,15020,0,40,United-States,>50K -25,Private,203871,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -53,Private,123703,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,382153,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -41,Local-gov,297248,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K -34,Private,211051,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,37932,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -44,State-gov,136546,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -67,Private,118363,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,2206,5,United-States,<=50K -24,Private,283872,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K -42,Private,99254,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -35,Private,385847,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,24982,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -56,Federal-gov,205805,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -17,Private,161123,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -40,Private,297396,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -21,Private,328906,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -37,?,185692,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,84,United-States,<=50K -23,Private,419394,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,9,United-States,<=50K -40,Private,204585,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,235738,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,245369,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -48,Private,45612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -22,Private,322674,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,101345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,217893,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -33,Self-emp-inc,374905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,State-gov,111483,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,54012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,170800,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -27,State-gov,222506,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K -39,Private,202937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -45,Federal-gov,352094,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,Guatemala,>50K -29,Private,82393,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -21,Private,57916,HS-grad,9,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,173279,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -46,Without-pay,142210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,25,United-States,<=50K -30,Local-gov,327825,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,0,32,United-States,<=50K -27,Private,153078,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -25,Private,49092,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,365908,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,2105,0,40,United-States,<=50K -48,Private,192161,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -19,Private,319889,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -72,Private,164724,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K -61,Private,97030,10th,6,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -50,Self-emp-not-inc,240612,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -74,Private,91488,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K -51,Self-emp-not-inc,318351,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,Canada,>50K -25,Private,181528,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -67,Self-emp-inc,112318,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,307267,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -52,Private,46788,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K -17,Private,142964,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,158702,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -68,Private,168794,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -22,Private,107882,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -17,Private,194946,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,83891,Bachelors,13,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,5455,0,40,United-States,<=50K -44,Local-gov,387770,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -50,Private,201882,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,259846,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3471,0,40,United-States,<=50K -71,Private,533660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,123677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -34,Self-emp-inc,28984,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,29059,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,2754,25,United-States,<=50K -31,Private,110554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,4386,0,40,United-States,>50K -48,Self-emp-not-inc,265477,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,253612,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,221167,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,Self-emp-inc,143266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,164530,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,20,United-States,<=50K -69,Local-gov,32287,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K -43,Self-emp-inc,303211,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,151382,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,75235,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -22,Local-gov,192812,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,143003,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7298,0,60,India,>50K -40,Private,183096,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,193787,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K -17,Private,165918,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,Peru,<=50K -37,Private,83880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,228253,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -51,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,146161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -59,Local-gov,130532,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Poland,<=50K -29,Private,231507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Self-emp-not-inc,186035,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -60,Self-emp-not-inc,52900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -41,Private,40151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,208277,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -60,Self-emp-not-inc,137733,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-not-inc,204235,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -29,Private,258862,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K -57,Self-emp-not-inc,247337,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K -33,Local-gov,156015,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,203717,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -71,?,229424,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,312785,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K -21,Private,154192,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,147215,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -33,Private,103651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -59,Private,43221,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -62,Local-gov,123749,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,130389,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,Scotland,<=50K -38,Private,78247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,249046,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,816750,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -27,Private,500068,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,36,?,<=50K -23,State-gov,120172,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K -42,State-gov,396758,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,236157,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,100734,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K -28,Private,196286,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,174812,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -31,Private,369825,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,4101,0,50,United-States,<=50K -23,Self-emp-not-inc,255252,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,157887,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,98829,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,160808,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4386,0,48,United-States,<=50K -29,Private,406826,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,221324,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,270151,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,194102,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,12,United-States,<=50K -59,Private,236731,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -27,Private,147839,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K -19,Private,177839,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -41,Federal-gov,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -30,Private,268575,HS-grad,9,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -39,Private,282153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -20,?,33860,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,28,United-States,<=50K -36,Private,22245,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -64,Private,61892,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,15,United-States,<=50K -36,Self-emp-not-inc,110861,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,165402,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,5178,0,40,United-States,>50K -31,Private,211334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,65,United-States,<=50K -21,Private,283969,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -31,Private,193231,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,60,United-States,<=50K -18,Private,362302,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -49,Private,187370,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -59,Local-gov,662460,10th,6,Widowed,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K -43,Private,191149,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,175878,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,207157,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -33,Private,252257,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,176279,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Self-emp-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,103277,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -48,Private,125933,Some-college,10,Widowed,Exec-managerial,Unmarried,Black,Female,0,1669,38,United-States,<=50K -21,Private,98678,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -45,Self-emp-not-inc,87490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -80,Private,151959,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Male,0,0,15,United-States,<=50K -17,?,237078,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -55,Private,124771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -21,?,369084,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,10,United-States,<=50K -47,Private,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -31,Private,174704,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K -70,?,306563,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -26,Private,136226,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,State-gov,231043,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,157289,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -29,Private,130010,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Local-gov,176949,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -19,Private,145844,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Private,339346,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -22,Private,137510,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,258102,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,209384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,?,125159,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,?,<=50K -24,Private,410439,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -20,Local-gov,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,122240,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,271579,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -34,Private,209691,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,66,United-States,<=50K -35,Private,185366,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,175594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,225515,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,103024,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,42,United-States,>50K -35,Private,181099,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,315291,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -32,Private,163530,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -49,Private,139571,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K -60,Private,162151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,46401,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -27,Private,95465,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,124971,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,168113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,257042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,181666,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,383306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,354148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K -18,Private,240767,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -66,?,177351,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,40,United-States,>50K -28,Private,249720,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,275244,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K -22,Private,282579,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -37,State-gov,354929,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,38,United-States,<=50K -26,Private,224563,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Self-emp-inc,83141,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K -30,Private,262092,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,109989,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,34374,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,283499,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -58,Private,275859,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,8614,0,52,Mexico,>50K -22,Private,268707,11th,7,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,42,United-States,<=50K -71,Self-emp-not-inc,30661,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6514,0,40,United-States,>50K -37,Private,175720,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,47310,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K -37,Private,117381,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,80,United-States,>50K -43,Private,299197,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,369387,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,160786,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,30656,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,203039,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,144995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -39,Local-gov,203070,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,381931,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -61,Self-emp-not-inc,151369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,30,United-States,>50K -28,Private,192010,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -31,Private,308540,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,77373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K -38,Private,301743,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,101709,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -28,Private,606111,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Germany,>50K -18,Private,186408,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,1055,0,40,United-States,<=50K -28,Private,285294,Bachelors,13,Married-civ-spouse,Sales,Wife,Black,Female,15024,0,45,United-States,>50K -36,Local-gov,247547,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,139190,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -18,Private,225859,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,2907,0,30,United-States,<=50K -29,Private,274969,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K -60,Local-gov,165982,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,126142,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,282394,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,21,United-States,<=50K -44,Private,199202,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -63,?,234083,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K -22,Private,190903,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -31,Self-emp-not-inc,144949,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Local-gov,76845,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,?,<=50K -31,Private,235389,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,Portugal,<=50K -26,Private,181613,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -28,Private,208965,9th,5,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Mexico,<=50K -47,Federal-gov,380127,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,274809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -30,Private,345898,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,46,United-States,<=50K -25,Private,206600,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,24,Nicaragua,<=50K -29,?,212588,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,53,United-States,<=50K -44,Self-emp-not-inc,147206,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K -55,Private,173422,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -32,Private,63564,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -17,Private,193830,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Self-emp-inc,188615,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,20,United-States,>50K -48,Self-emp-inc,54190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -58,Federal-gov,497253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,136721,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,144949,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2559,40,United-States,>50K -31,Self-emp-inc,243165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Private,211494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,?,>50K -28,Self-emp-not-inc,209934,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K -34,Self-emp-inc,233727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,?,227690,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,414448,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -27,Private,62737,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,46706,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -17,?,219277,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,112077,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K -44,Private,344060,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K -22,Self-emp-inc,333197,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,2205,45,United-States,<=50K -32,Private,70985,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,?,860348,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -51,State-gov,152810,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -42,Private,192712,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -37,Private,155064,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -23,?,223019,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,953588,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -32,Private,211349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,316582,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,7298,0,40,United-States,>50K -67,Self-emp-not-inc,252842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,20,United-States,<=50K -25,Private,124111,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,36,?,<=50K -55,State-gov,181641,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,37,United-States,<=50K -38,State-gov,103925,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2036,0,20,United-States,<=50K -51,Private,186338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,209993,11th,7,Separated,Priv-house-serv,Unmarried,White,Female,0,0,8,Mexico,<=50K -20,Private,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -25,Private,214413,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,33975,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-inc,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,<=50K -58,Private,234328,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,180280,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,82488,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -27,Private,95725,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -27,Private,203776,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -55,Self-emp-not-inc,271795,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,174714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -18,?,346382,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -33,Private,94235,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,>50K -33,Private,350106,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,34,United-States,<=50K -59,Private,381851,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,64292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,201310,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -27,Private,278736,12th,8,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -25,Private,169124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,57423,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -20,Private,387779,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -44,Private,378251,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -63,Private,208862,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,State-gov,261278,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,80,?,<=50K -42,Private,182342,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -43,Private,188199,9th,5,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,197752,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Local-gov,187203,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -49,Local-gov,181970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,196502,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -37,Private,215392,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,113323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,181666,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,133069,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,104457,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -50,?,28765,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -34,Private,113543,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,43354,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,>50K -47,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,182342,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,298635,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K -37,Private,174912,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,200598,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K -38,Private,29874,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,206487,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,120672,11th,7,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,1721,40,United-States,<=50K -50,State-gov,263200,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Ecuador,<=50K -32,Self-emp-inc,124052,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,289442,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,171301,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -31,Private,139822,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -31,Private,128591,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,121076,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -23,Private,219535,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,138077,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -27,Private,115438,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,177940,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K -37,Private,281751,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -40,Private,287079,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -51,Private,94819,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,267426,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,216414,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -58,Private,103540,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,403072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -50,Private,247425,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,143608,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,128567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,130492,11th,7,Divorced,Craft-repair,Unmarried,Other,Male,0,0,35,United-States,<=50K -36,Local-gov,127424,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,?,>50K -54,Private,162238,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,151484,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -17,Private,144752,10th,6,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -29,Private,107812,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K -63,?,54851,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,127366,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -23,State-gov,1117718,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K -35,Private,228881,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Puerto-Rico,<=50K -50,Federal-gov,307555,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -44,State-gov,96249,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K -60,Private,127712,Assoc-voc,11,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,45,Poland,<=50K -27,Private,116372,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,36503,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,109762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -21,Private,34616,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,241731,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,159876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,72,United-States,<=50K -21,Private,64520,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -35,Private,153535,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,36,United-States,<=50K -30,State-gov,199539,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,<=50K -19,Self-emp-not-inc,67929,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,223367,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,?,200508,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,210438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,113080,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,>50K -20,Self-emp-inc,83141,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Self-emp-not-inc,306710,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Local-gov,150226,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -45,Private,168232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -34,Local-gov,241259,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,173968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,?,175069,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -44,?,136419,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,110417,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -43,Private,156771,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,201292,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,179731,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,20,?,<=50K -26,Private,78258,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -26,State-gov,126327,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,State-gov,290688,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,203776,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Self-emp-inc,175958,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,60,United-States,<=50K -20,Private,117476,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,220115,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -61,Self-emp-not-inc,244087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -54,Private,35576,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K -73,Self-emp-not-inc,228899,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,99,United-States,<=50K -22,Private,39615,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,240842,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,176178,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -31,Self-emp-not-inc,252752,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,2415,40,United-States,>50K -67,Self-emp-not-inc,176388,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -28,Private,51461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,185053,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -38,Private,279315,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,276559,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -37,Private,120045,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,56,United-States,<=50K -22,Private,216134,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Private,32356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -23,Private,228230,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,47,United-States,<=50K -20,Private,94364,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,20,United-States,<=50K -68,Private,32779,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,419,12,United-States,<=50K -40,Private,284303,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K -52,Federal-gov,385183,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -39,Private,130007,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,219838,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Private,89787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -49,Private,334787,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,65087,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -37,Private,219141,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7688,0,40,United-States,>50K -49,Federal-gov,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,183739,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K -46,Private,430278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,361280,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K -59,Private,258579,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,35,United-States,>50K -62,?,144116,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,211759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -56,Private,229335,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,State-gov,327886,Doctorate,16,Divorced,Prof-specialty,Own-child,White,Male,0,0,50,United-States,>50K -67,?,132057,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,<=50K -34,Federal-gov,148508,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,196107,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Private,148645,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,340234,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K -48,Private,219967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,32550,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,217200,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,265314,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -42,Local-gov,194417,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -45,Private,89028,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,10520,0,40,United-States,>50K -38,Private,226894,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K -31,Local-gov,253456,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -34,Private,35644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,190290,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,80,France,<=50K -47,Private,180277,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Hungary,<=50K -25,Private,330695,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -47,?,118358,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,50,?,<=50K -57,Federal-gov,40103,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,Self-emp-not-inc,155659,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -75,Self-emp-not-inc,213349,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,113838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -28,?,131310,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,20,Germany,<=50K -43,Private,326232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Local-gov,368797,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,35,United-States,>50K -38,Private,99156,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,46,United-States,<=50K -18,?,264924,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,217460,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -30,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -50,Self-emp-not-inc,42402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,30,United-States,>50K -43,Private,132633,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,?,<=50K -23,Private,227471,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -23,Self-emp-inc,216889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -29,Private,140927,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,185385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,32616,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,98012,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,175800,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -35,State-gov,140752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,125487,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,190997,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -29,Private,427965,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,?,88513,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,?,264300,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -28,Private,499001,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -31,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -40,Private,238329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Federal-gov,421871,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,6849,0,50,United-States,<=50K -54,Self-emp-inc,22743,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,70,United-States,>50K -53,Private,22978,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -51,Private,114520,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,16,United-States,<=50K -62,Private,134779,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -49,Local-gov,145290,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,?,177557,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,74501,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K -30,Private,312667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,330535,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K -46,Private,102388,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -22,?,190290,Some-college,10,Never-married,?,Own-child,White,Male,0,0,65,United-States,<=50K -19,Private,121788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Private,155106,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,2444,70,United-States,>50K -38,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,160300,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,?,102400,HS-grad,9,Married-civ-spouse,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,213643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,40,United-States,<=50K -29,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,52,United-States,<=50K -50,Private,116287,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Columbia,<=50K -35,Private,148903,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,>50K -33,Private,182792,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Local-gov,67001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,346478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,45,United-States,>50K -41,Private,221172,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,201874,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,402089,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Private,211226,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,36,United-States,<=50K -26,Private,262656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,255978,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,200089,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -58,Private,31137,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,60,United-States,<=50K -30,Local-gov,164493,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -35,Self-emp-not-inc,225399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,8614,0,40,United-States,>50K -44,Private,172032,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,330543,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -52,Private,145081,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,147707,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,135840,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -22,?,144210,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -44,Private,223194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1485,40,Haiti,<=50K -40,Private,264663,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -22,Private,103440,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -37,Federal-gov,243177,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,126320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,242619,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,154474,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,42,United-States,<=50K -21,Private,346693,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,33863,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,221403,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K -48,Private,165484,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -60,Private,83850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,111567,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,177271,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,84,United-States,>50K -58,Private,281792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,166740,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Local-gov,226443,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K -33,Self-emp-not-inc,124187,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K -60,Private,186446,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,94744,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -34,Self-emp-inc,119411,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,201680,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,203777,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,37,United-States,<=50K -36,Private,177616,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,168768,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,175370,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,271610,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -38,Private,259972,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,275338,Bachelors,13,Divorced,Sales,Unmarried,White,Female,1151,0,40,United-States,<=50K -18,State-gov,352317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,100800,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,204304,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,State-gov,598995,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,3103,0,40,United-States,>50K -22,Private,163519,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,391495,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -48,Local-gov,81154,Assoc-voc,11,Never-married,Protective-serv,Unmarried,White,Male,0,0,48,United-States,<=50K -40,Self-emp-not-inc,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -51,Private,317396,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,145220,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Columbia,<=50K -32,Private,100135,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -31,Private,207100,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -18,?,305327,Some-college,10,Never-married,?,Own-child,Other,Female,0,0,25,United-States,<=50K -47,Self-emp-not-inc,136258,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,89625,10th,6,Separated,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -22,Private,205839,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,161558,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K -34,Local-gov,213722,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K -33,Local-gov,33727,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,177905,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,58,United-States,>50K -29,Private,150861,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,153323,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,20,United-States,<=50K -56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2907,0,52,Cuba,<=50K -25,Private,122756,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K -52,Private,173987,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-inc,140852,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,?,504871,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -39,Private,162370,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,State-gov,150488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,170324,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K -24,Local-gov,161092,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -49,Private,188823,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K -23,Private,148709,HS-grad,9,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,102092,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -42,Private,52781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -65,Private,386672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -19,?,308064,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,169188,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,107425,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -24,Private,193416,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K -27,Private,165014,Some-college,10,Married-civ-spouse,Sales,Own-child,Other,Female,0,0,11,Mexico,<=50K -55,State-gov,169482,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -60,Private,245062,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,104280,12th,8,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Private,96080,9th,5,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,138542,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K -33,Private,182511,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Local-gov,14878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -39,Private,225544,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,216508,12th,8,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -44,Private,98211,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -66,Self-emp-inc,185369,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -26,Self-emp-not-inc,109162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -32,State-gov,119033,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -48,Private,99835,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,140206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -67,Local-gov,233681,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,335357,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,187563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,44006,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,221745,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,124052,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -57,Private,35884,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,128401,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,51150,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,203763,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K -48,Local-gov,218357,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,25,United-States,<=50K -48,Private,155509,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,103759,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,335605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Self-emp-not-inc,161508,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -43,Local-gov,233865,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,287129,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,99316,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,405309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -44,Private,340885,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,40,United-States,>50K -33,Private,97521,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,119992,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -19,Private,382688,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -43,Local-gov,260696,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -23,Private,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,104813,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,134886,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -73,Local-gov,45784,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,11,United-States,<=50K -36,Private,144524,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -56,Local-gov,104996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,101562,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,211273,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K -27,Private,267989,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,152373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,136224,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,Private,305498,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,33,United-States,<=50K -72,?,402306,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,Canada,<=50K -38,Private,452353,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,150011,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,282951,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,199668,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,235743,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K -51,Private,129301,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -70,Private,102610,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K -37,Private,176014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,107306,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,Canada,<=50K -53,Private,374588,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -39,State-gov,122011,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,38,United-States,>50K -81,Private,176500,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Private,85341,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,73471,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,155094,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -31,Private,84154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,?,>50K -40,State-gov,195520,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,49,United-States,<=50K -46,Private,75256,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,199925,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,<=50K -24,Private,329408,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,137076,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -43,Private,459342,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,82910,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,122215,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,369084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,State-gov,227864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,175674,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -17,Private,30829,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -60,Private,220729,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,254148,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,345277,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K -52,Private,104501,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Private,172304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,39986,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,240229,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,111232,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -59,Private,170104,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -43,Private,218309,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,?,204577,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,1902,60,United-States,>50K -21,Private,201179,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -49,State-gov,160812,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -34,Private,279015,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -47,Private,277545,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -18,?,211177,12th,8,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K -18,Private,304169,11th,7,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -43,Private,403276,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,353219,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -21,?,398480,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -21,?,212661,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,114937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Private,64875,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K -27,Private,147280,11th,7,Never-married,Other-service,Own-child,Other,Male,0,0,40,United-States,<=50K -47,Private,131160,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,99999,0,40,United-States,>50K -17,Private,93511,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -51,Private,279156,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,106501,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -43,Local-gov,143828,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,9562,0,40,United-States,>50K -41,Local-gov,42346,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K -45,Private,353012,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,218281,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -52,Private,204226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Self-emp-not-inc,222311,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,55,United-States,>50K -32,Private,309513,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,22743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K -27,Private,289484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,234537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -24,Private,122272,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,376072,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -55,Private,107308,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,152668,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Private,198341,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -30,Private,271933,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,67791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -41,Local-gov,247082,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,?,170070,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,10,United-States,<=50K -20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K -34,Self-emp-not-inc,319165,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,606111,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,133503,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,2174,0,40,United-States,<=50K -39,Private,183898,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,60,Germany,>50K -21,Private,195199,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -52,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -30,Self-emp-not-inc,55176,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -19,State-gov,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -34,Private,424988,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,154405,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -60,Local-gov,124987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -47,Private,121622,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -34,Private,198693,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,219122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Italy,<=50K -20,State-gov,30796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -41,State-gov,309056,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,140886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,172642,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Peru,<=50K -48,Self-emp-not-inc,90042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,49,United-States,<=50K -43,Private,33658,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,3004,40,United-States,>50K -39,Private,99065,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Poland,>50K -50,Self-emp-not-inc,343242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -47,Local-gov,198660,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,272723,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,278228,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -40,Private,48612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -43,Private,108945,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -48,Private,173938,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -18,Self-emp-not-inc,379242,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,268451,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,148138,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2002,40,Iran,<=50K -24,Self-emp-not-inc,107452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-inc,80333,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,Private,178312,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,170413,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1741,40,United-States,<=50K -22,Private,34918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K -34,Private,258666,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1974,40,United-States,<=50K -39,Private,183279,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -45,State-gov,191001,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -36,Private,127961,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,59474,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -49,Private,218676,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -56,Private,288530,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,>50K -31,State-gov,55849,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,403107,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K -53,Private,309466,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,314798,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,?,186452,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -23,Private,107452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,204098,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,151248,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -28,Private,715938,Bachelors,13,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,213734,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,43206,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K -58,Private,239523,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -46,Private,34186,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,274577,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,151733,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -53,Private,30290,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,111128,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,171968,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -34,Self-emp-not-inc,173201,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Cuba,<=50K -47,Private,145886,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,149049,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,14344,0,45,United-States,>50K -34,Self-emp-not-inc,353881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -61,Private,185584,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K -37,Self-emp-not-inc,42044,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -24,Private,130442,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,Private,179569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,110622,Prof-school,15,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -27,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K -36,Private,310531,10th,6,Separated,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -59,Private,50223,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,193344,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -42,Private,202565,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K -29,Private,201954,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -30,Private,188798,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,224632,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -37,Local-gov,165883,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,93223,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -20,Private,61777,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -52,Private,618130,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,149116,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,117789,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -45,Local-gov,324550,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,204501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -44,Private,224658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -43,?,152569,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2339,36,United-States,<=50K -19,Private,64112,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Local-gov,149833,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,94429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,81206,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,?,326624,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,?,228480,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,180859,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -54,Private,175262,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -28,Private,142264,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,123157,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,?,<=50K -57,Self-emp-inc,51016,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,401051,10th,6,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -53,Private,427320,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Male,3325,0,40,United-States,<=50K -21,?,152328,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,324053,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -66,?,231315,Assoc-acdm,12,Widowed,?,Unmarried,White,Female,0,0,3,United-States,<=50K -61,Private,228287,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,340599,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,20946,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,191342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K -26,Private,339324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,96,United-States,<=50K -23,Private,189830,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -21,Private,396790,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K -31,Private,121321,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,149218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -59,Self-emp-not-inc,96459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,406328,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K -45,Private,297884,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -44,Private,75742,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,99064,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -25,Private,182656,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,22422,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,150886,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -43,Private,315971,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,?,>50K -20,Private,116666,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,8,India,<=50K -25,Private,289980,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Private,175070,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,75,United-States,<=50K -61,Private,167138,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,170984,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,250802,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -53,Private,274276,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,112008,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Germany,<=50K -32,Self-emp-inc,110331,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -50,Private,165001,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,178759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -47,Self-emp-not-inc,122307,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -37,Private,32668,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K -30,Self-emp-not-inc,437458,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Private,143582,7th-8th,4,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,48,?,<=50K -44,Local-gov,171589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -37,Private,126569,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -36,Self-emp-not-inc,125933,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -32,Private,131584,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,37250,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1651,40,United-States,<=50K -34,Local-gov,243867,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Local-gov,125155,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K -63,Local-gov,57674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -25,Private,78605,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,200967,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -71,Private,269708,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,2329,0,16,United-States,<=50K -23,Private,182342,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Italy,<=50K -48,Private,285335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,151029,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -42,Self-emp-not-inc,222978,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,146719,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,332379,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,195820,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -32,Private,127875,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -35,Private,33001,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -33,Private,209101,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,143554,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -46,Private,166003,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,244910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -49,Private,164877,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,119957,Bachelors,13,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -41,Private,187336,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,203138,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -45,Private,184441,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,42,United-States,<=50K -49,Self-emp-not-inc,182211,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,393702,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,41281,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K -72,Private,181494,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -58,Private,121111,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Greece,<=50K -53,Local-gov,164300,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Dominican-Republic,<=50K -35,Self-emp-not-inc,361888,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Japan,<=50K -47,Private,216414,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,126822,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K -40,Private,77313,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -18,Private,241552,11th,7,Never-married,Other-service,Own-child,White,Female,0,1719,20,United-States,<=50K -25,Private,235218,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,149770,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -23,?,116934,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,45814,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,257200,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,128260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -20,Private,183594,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -36,Private,679853,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Dominican-Republic,<=50K -41,Private,182108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,27828,0,35,United-States,>50K -35,Local-gov,79649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,75839,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,99783,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,United-States,<=50K -28,Private,113635,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,64544,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,181758,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K -42,Self-emp-not-inc,212847,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K -41,Local-gov,193553,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,64,United-States,>50K -35,Private,190023,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,117959,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4386,0,40,United-States,>50K -52,Private,38795,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Private,67433,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -20,Self-emp-not-inc,54152,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,174395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,315877,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,2001,40,United-States,<=50K -28,Private,375313,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -22,Private,194096,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,192002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,219267,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -45,Private,166056,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Local-gov,163862,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,214542,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K -28,Self-emp-not-inc,125442,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,244665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K -52,Private,312446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,106347,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K -44,Private,192878,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,117018,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,State-gov,232914,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,?,281504,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,126945,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -42,Local-gov,174575,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -24,Private,183772,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -46,State-gov,363875,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -49,State-gov,175109,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,144032,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,197886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Local-gov,184678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,187033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -48,Self-emp-not-inc,48384,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,Private,146919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -64,Private,118944,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -43,State-gov,118544,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,Private,129762,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Scotland,<=50K -36,Private,398931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,117319,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -25,Private,173593,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,75,United-States,<=50K -20,Private,141481,11th,7,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K -54,Private,195015,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,177420,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -40,?,141583,Bachelors,13,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K -19,Private,148392,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -19,Self-emp-not-inc,45546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -19,Private,446219,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,State-gov,82622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -46,Private,121124,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -32,Private,36592,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -36,Private,28996,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,154398,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,Haiti,<=50K -41,Self-emp-not-inc,51494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,156807,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,36,United-States,<=50K -31,Private,152156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -35,?,169809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -27,Private,83517,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -47,Private,91972,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,35,United-States,>50K -42,Federal-gov,284403,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,189589,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,111520,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Nicaragua,<=50K -29,Federal-gov,242147,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Male,0,0,45,United-States,<=50K -75,?,114204,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K -55,Local-gov,293104,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -57,State-gov,19520,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Private,208379,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,8,United-States,<=50K -47,Private,209212,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,?,<=50K -41,Self-emp-inc,214247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -55,Private,193130,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,37939,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -45,Federal-gov,187510,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,252813,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,?,332884,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -59,Private,61885,12th,8,Divorced,Transport-moving,Other-relative,Black,Male,0,0,35,United-States,<=50K -52,Private,110563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -80,Private,148623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -50,Private,104280,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -31,Private,162572,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,201908,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -34,?,93834,HS-grad,9,Separated,?,Own-child,White,Female,0,0,8,United-States,<=50K -39,Private,56648,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,47,United-States,<=50K -51,Private,215404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,15024,0,40,United-States,>50K -76,?,197988,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -19,Private,42750,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,215955,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K -32,Private,340917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,?,>50K -48,Private,159854,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,140011,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K -24,Private,321666,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,266439,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K -55,Private,269763,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -30,?,159303,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -27,Private,29261,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,298227,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -68,Private,115772,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K -28,Local-gov,220754,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,636017,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -50,State-gov,54342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,319016,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,45,United-States,<=50K -38,Self-emp-not-inc,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,102945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -40,Self-emp-not-inc,277488,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K -36,Private,365739,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,82319,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -36,State-gov,180752,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,366876,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,133328,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Self-emp-inc,66614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,348728,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Self-emp-not-inc,179488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -61,Private,270056,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -45,Private,117310,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -21,?,306779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,118462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K -26,Self-emp-not-inc,67240,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,State-gov,479179,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,254797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,49626,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K -45,Private,203785,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,256522,1st-4th,2,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -43,Private,172364,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -60,Self-emp-inc,93272,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -49,Self-emp-inc,26502,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,6497,0,45,United-States,<=50K -25,Private,123095,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1590,40,United-States,<=50K -36,State-gov,256992,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -39,Self-emp-not-inc,37019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -46,?,96154,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -44,Private,165492,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,248754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,114774,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2258,55,United-States,<=50K -28,Private,54243,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,Private,165937,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -31,State-gov,26401,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -24,Private,173736,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -45,Self-emp-not-inc,29019,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K -41,Private,157473,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -32,?,913447,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,102569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -23,Private,128604,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,48,South,<=50K -57,Federal-gov,30030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -52,Private,122109,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K -25,Private,164938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,40,United-States,<=50K -44,Federal-gov,102238,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,264453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,30,United-States,<=50K -21,?,227521,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -37,?,122265,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K -53,Private,48413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,409815,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,236907,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,351731,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -59,Local-gov,93211,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,22,United-States,>50K -62,Self-emp-not-inc,158712,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,6,United-States,<=50K -18,Private,308739,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -67,Private,105252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,400225,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -57,Private,275943,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,78634,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,456572,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,United-States,<=50K -37,Private,125167,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -54,Private,292673,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -28,Private,336951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,341797,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -49,Private,157991,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,State-gov,149650,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -38,Private,163204,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K -20,Private,138768,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,241998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,180624,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,27881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -61,Private,180382,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,45,United-States,<=50K -61,Private,202060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,34,United-States,<=50K -54,Private,188136,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1408,38,United-States,<=50K -54,Private,306985,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,123291,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,159759,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,54683,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -24,Private,404416,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,State-gov,120131,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,State-gov,54318,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,164593,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -41,Private,336643,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K -51,Private,441637,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,172230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,404062,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,Portugal,>50K -35,Private,391937,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,111625,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K -20,Private,374116,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Private,137354,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Private,87310,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,257992,Assoc-voc,11,Never-married,Sales,Own-child,Black,Male,0,0,23,United-States,<=50K -35,Private,283237,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,383885,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K -40,Federal-gov,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,127573,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -20,Private,181675,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,313243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -47,Federal-gov,402975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,103734,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -25,Private,109080,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -56,Private,329948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,31359,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K -41,Private,277192,5th-6th,3,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,Mexico,<=50K -43,Private,211518,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,257395,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Federal-gov,155106,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -55,Private,272656,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K -47,Private,207120,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -33,Federal-gov,182714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K -53,Private,320510,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,State-gov,109762,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,230874,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,56080,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -54,Self-emp-inc,223752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,?,>50K -56,Self-emp-inc,303090,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,52900,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,156464,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -22,Private,60783,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -18,?,210652,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -17,Private,130806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -31,Private,103435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Local-gov,398988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K -33,Private,164190,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,208881,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,114691,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -66,Private,284021,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,325033,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,>50K -34,Private,110622,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -29,Private,239753,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,20,United-States,<=50K -33,Private,164707,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,2174,0,55,?,<=50K -39,Private,67317,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,121124,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,167087,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,263561,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -23,Private,126550,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,180985,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -32,Private,97281,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,69251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -43,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,35,Mexico,<=50K -32,Private,127651,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K -33,State-gov,209768,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,193494,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K -47,Private,264244,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,55674,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,2907,0,40,United-States,<=50K -23,Private,125525,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,<=50K -36,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K -34,Local-gov,240252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-inc,121124,Prof-school,15,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -22,Private,199426,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K -36,Private,161547,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,406051,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,>50K -34,Private,29235,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,?,64322,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,240504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -18,?,221312,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,217054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -38,Private,93717,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -77,Self-emp-not-inc,72931,7th-8th,4,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,20,Italy,>50K -26,State-gov,34965,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -45,Private,138626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K -42,Private,191149,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -25,Private,127784,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Federal-gov,243929,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -22,Private,313873,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -49,Private,403061,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -56,Private,284701,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,275338,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -43,Private,131899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Local-gov,155781,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4064,0,50,United-States,<=50K -48,Private,548568,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -68,Private,214521,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K -21,Private,225890,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -30,Self-emp-not-inc,209808,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,?,168873,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,30,United-States,<=50K -21,State-gov,96483,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,12,United-States,<=50K -40,Self-emp-inc,110862,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,50,United-States,<=50K -36,Private,279721,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,241404,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,317378,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,10520,0,40,United-States,>50K -54,Private,104421,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,226894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,298227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,143964,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Local-gov,311913,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -26,Private,205109,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,?,164730,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,233511,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K -20,Private,275190,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,202937,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -38,Private,39606,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,143776,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,>50K -51,Private,174754,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -39,Private,82488,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K -29,Private,55390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,116666,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,118230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,473449,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,210562,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -17,?,34019,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -50,Private,46401,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,20,Germany,<=50K -71,Self-emp-inc,133821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -85,Private,188328,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -29,Private,166220,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K -46,Self-emp-not-inc,140121,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -56,Private,192869,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,44,United-States,>50K -42,Self-emp-not-inc,115932,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,238246,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,Germany,<=50K -39,Private,184801,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,380162,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -45,Private,212120,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -42,Private,124692,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,174209,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,243330,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,444554,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,430195,11th,7,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -21,Private,136440,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K -56,Self-emp-not-inc,306633,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -38,Private,182570,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -45,Self-emp-not-inc,247379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Local-gov,236497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,306967,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,99146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -50,Private,123429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-not-inc,213258,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K -62,?,128230,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K -29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,48,United-States,>50K -51,Private,204304,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -44,Private,210525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,230408,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -50,Private,193081,Preschool,1,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Haiti,<=50K -30,Local-gov,154935,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,148524,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2057,40,United-States,<=50K -28,Local-gov,251854,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -23,Private,185554,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,266598,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,449354,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,269474,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -64,Private,73413,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Self-emp-inc,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -46,Private,174370,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -43,Private,421837,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -57,Private,334224,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,9386,0,40,United-States,>50K -40,Private,103474,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -25,Private,182771,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -45,State-gov,154117,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K -26,Private,263444,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,14344,0,40,United-States,>50K -37,Private,168941,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,65249,12th,8,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,89622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,31621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Private,230789,9th,5,Never-married,Sales,Own-child,Black,Male,0,0,22,United-States,<=50K -42,Self-emp-inc,50356,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,87950,Assoc-voc,11,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -43,Private,265266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,87076,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -29,?,565769,Preschool,1,Never-married,?,Not-in-family,Black,Male,0,0,40,South,<=50K -56,Private,364899,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,65,United-States,>50K -45,Private,274657,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -27,Private,241607,Bachelors,13,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K -44,Private,244522,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Private,174426,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -44,Private,252202,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,238802,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,182541,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K -58,Private,201112,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K -33,Local-gov,27959,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,Private,366618,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,101967,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -50,Private,378581,12th,8,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K -18,Private,170094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -29,Local-gov,187981,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,279490,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Mexico,<=50K -42,Private,285066,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -38,Private,237713,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -47,Federal-gov,191858,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,?,116834,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -54,Local-gov,184620,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,316793,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,35,United-States,<=50K -55,Private,243929,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,38948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,198126,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,?,98882,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,235334,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,99999,0,60,United-States,>50K -43,Private,149670,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,15,United-States,<=50K -33,Local-gov,111746,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,48,United-States,<=50K -19,?,177923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -21,Private,33616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -43,Private,236985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,51499,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -29,Self-emp-not-inc,169662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,283342,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -57,Private,340591,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,107417,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -27,Private,430672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -35,Private,219546,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K -29,Private,116662,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,207335,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -33,Private,189710,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -42,Private,183241,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -37,Self-emp-not-inc,111129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -57,Self-emp-inc,199067,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,90,Greece,>50K -17,Private,213354,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K -27,?,26754,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,10,China,<=50K -21,Private,306850,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,151382,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Male,0,974,40,United-States,<=50K -32,Private,280077,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,95639,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,129525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K -52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -66,Private,142624,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5556,0,40,Yugoslavia,>50K -59,State-gov,49230,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,161964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,180771,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,35,Mexico,<=50K -36,Private,250224,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,464103,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -20,?,228326,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -61,Private,115023,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -45,Private,188794,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,58337,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,35,?,<=50K -59,Private,258883,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,210438,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Local-gov,283635,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,234570,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,225821,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K -23,Private,287681,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Columbia,<=50K -22,Private,83315,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,663394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,112115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,Ireland,>50K -73,?,144872,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,Canada,<=50K -24,Private,374763,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -68,?,461484,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1648,10,United-States,>50K -25,Self-emp-not-inc,210278,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -17,Private,106733,11th,7,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K -42,Private,205195,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,State-gov,176162,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -62,Federal-gov,177295,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,209739,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,56613,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,20,United-States,<=50K -24,Federal-gov,306515,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,237024,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -38,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -64,?,192715,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,1672,10,United-States,<=50K -18,Private,122775,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -54,Self-emp-not-inc,164757,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -25,Private,224203,11th,7,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -57,Private,80149,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,Germany,>50K -50,Private,176609,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,180647,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,129497,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -35,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -18,?,298133,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,167009,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -39,Self-emp-inc,285890,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Haiti,>50K -38,Private,104089,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,217692,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,38,United-States,<=50K -52,?,175029,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,<=50K -51,Private,182314,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -29,Private,29732,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K -24,Local-gov,354351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Hong,<=50K -31,Local-gov,393965,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -45,Private,247869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Private,233280,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,8614,0,70,United-States,>50K -43,Private,118536,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -36,Private,182074,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Private,279636,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -45,Private,127111,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -31,Private,201122,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -41,Self-emp-inc,139916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Other,Male,0,2179,84,Mexico,<=50K -67,Private,89346,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,131288,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Self-emp-inc,132716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -26,Private,124111,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -62,Private,174711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -36,Private,199346,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -45,Private,55720,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,?,224357,Some-college,10,Married-civ-spouse,?,Husband,White,Male,2290,0,4,United-States,<=50K -38,Private,200818,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,187711,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,106742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,175128,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,225193,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,239755,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -24,?,152719,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,15,Haiti,<=50K -33,Private,226624,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,156764,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,264357,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -23,Private,208826,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -45,Private,117849,11th,7,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,89478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,296125,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -31,Private,134613,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,43,United-States,<=50K -54,Private,96062,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -49,State-gov,247043,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,177526,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,30,United-States,<=50K -53,Private,96827,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K -39,State-gov,218249,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K -23,State-gov,279243,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -44,Private,45363,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K -48,Private,43479,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K -23,Private,197387,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K -51,Federal-gov,23698,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -40,Private,213849,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,143741,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -32,Private,273241,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -30,Private,19678,Bachelors,13,Married-AF-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,>50K -29,State-gov,51461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,376929,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -30,Private,33124,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,14,United-States,<=50K -43,Federal-gov,32016,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Private,389254,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,207568,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,159549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -41,Private,102332,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Local-gov,236391,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K -33,State-gov,400943,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Self-emp-not-inc,89636,Bachelors,13,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,South,<=50K -40,Private,114157,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,266134,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -66,Private,141085,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,8,United-States,<=50K -64,?,201368,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -41,Private,182567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -47,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -57,Federal-gov,425161,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -21,?,85733,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -64,?,29825,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -49,?,558183,Assoc-voc,11,Married-spouse-absent,?,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,73199,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3137,0,77,Vietnam,<=50K -49,Local-gov,358668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -50,Private,175804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,274830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -33,Private,547886,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,90693,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -24,Self-emp-not-inc,34918,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -38,Private,285890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,55,United-States,>50K -25,Private,187540,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,270886,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,175070,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,>50K -31,Private,258849,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Self-emp-inc,437161,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,201729,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K -29,Self-emp-not-inc,125190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,296538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -32,Private,402812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -28,Self-emp-inc,142712,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -22,Self-emp-not-inc,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -24,State-gov,133586,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,165866,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -64,Self-emp-inc,165667,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,Canada,>50K -48,Private,56071,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,311311,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Private,174452,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,245665,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -55,Private,141326,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,191968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,?,118630,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Private,162108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,134639,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K -22,?,216639,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1974,40,United-States,<=50K -74,State-gov,117017,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K -57,Private,375868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,234537,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,153894,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,24,Puerto-Rico,<=50K -29,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Local-gov,170449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,180985,Bachelors,13,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -39,Self-emp-inc,283338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -45,Self-emp-inc,328610,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -17,?,144114,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,254211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,233130,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -41,Private,298161,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K -62,Self-emp-not-inc,115176,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -42,Private,282062,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,84587,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,38,Philippines,<=50K -28,Local-gov,157437,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4650,0,48,United-States,<=50K -38,Private,197077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,367329,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,247752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,126954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Local-gov,304386,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,167265,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K -24,Private,185821,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -50,Local-gov,24139,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K -58,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,175183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,194995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -17,Private,168807,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -49,Federal-gov,216453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -53,Private,169182,10th,6,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K -56,Private,105363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4508,0,40,United-States,<=50K -39,Private,403489,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,651702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K -53,Self-emp-not-inc,93449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -49,Private,168262,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -32,Private,140092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -37,Private,194004,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -51,Self-emp-not-inc,111283,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K -28,Private,189530,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,399296,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K -44,Private,292985,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,?,117054,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K -31,Private,126501,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,176262,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,29702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -18,Private,126071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -72,Private,165622,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Private,279145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,210310,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -21,Private,57711,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Local-gov,100817,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -34,Local-gov,234096,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,372149,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,65382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,186110,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Private,283314,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,?,>50K -42,?,240027,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Private,131913,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -24,Private,119156,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,153109,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -35,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,78401,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,335764,11th,7,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K -46,Private,147519,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,80,United-States,<=50K -49,Self-emp-not-inc,117634,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,30,United-States,<=50K -56,Private,146660,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,10,United-States,<=50K -59,Private,147989,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -26,Private,134004,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,333304,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,231492,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -33,Self-emp-not-inc,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Private,145409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -76,Private,138403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -22,?,195532,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -46,Local-gov,133969,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -18,Private,180039,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,121038,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -34,Private,100593,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K -51,Private,128338,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,188300,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,264968,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,77218,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,102938,Bachelors,13,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -46,Self-emp-not-inc,292549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -17,Self-emp-not-inc,368700,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -21,?,177287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,30126,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -45,Local-gov,374450,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,40,United-States,>50K -53,Private,129525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,97254,11th,7,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,4101,0,40,United-States,<=50K -20,Private,256240,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,330416,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,98361,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -53,Private,154785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -21,Private,538822,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -36,Private,111387,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,125832,9th,5,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,393962,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,308205,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -39,Federal-gov,65324,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -30,Private,245211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2002,43,United-States,<=50K -30,Private,53285,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,?,213416,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,32,Mexico,<=50K -38,Self-emp-not-inc,89202,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,141459,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -43,Private,48193,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,?,344572,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,188957,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,235722,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -55,Private,139843,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -29,Private,249463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-not-inc,209833,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -18,?,352430,11th,7,Never-married,?,Own-child,White,Male,0,1602,30,United-States,<=50K -23,Private,347292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,177057,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,289228,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K -47,Local-gov,543162,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,394927,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,138285,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -61,Self-emp-not-inc,176965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,282202,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,Mexico,<=50K -23,Local-gov,203353,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K -52,Private,232024,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Private,149337,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,84130,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,287229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,Japan,<=50K -17,?,198797,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Peru,<=50K -51,Local-gov,123011,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,35,United-States,>50K -47,Private,27624,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K -28,Private,222442,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,Cuba,<=50K -34,Federal-gov,190228,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,48,United-States,>50K -39,Private,290321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,188432,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,46,United-States,>50K -58,Self-emp-not-inc,118253,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,100375,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -31,Private,408208,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -33,Private,244817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,222654,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -53,Local-gov,608184,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,263561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,108140,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,195148,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,3137,0,40,United-States,<=50K -72,Self-emp-not-inc,28865,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,14,United-States,<=50K -37,Private,188774,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2824,40,United-States,>50K -52,Private,113094,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,1092,40,United-States,<=50K -68,Self-emp-not-inc,35468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K -39,State-gov,142897,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -49,Self-emp-inc,83444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,>50K -45,Private,124973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -45,Self-emp-inc,139268,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Private,198145,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -40,Private,196344,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,30,Mexico,<=50K -33,Private,100154,10th,6,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,213719,Assoc-acdm,12,Never-married,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K -37,Private,159383,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,167482,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -17,?,86786,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,183542,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -66,Private,366425,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,284763,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,157332,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -59,Private,167963,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -51,State-gov,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -51,Local-gov,193720,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,209609,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,89735,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,410543,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,190817,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,72393,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -60,Private,320376,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -30,?,101697,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -52,Federal-gov,297906,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -24,Local-gov,221480,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,202373,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -37,Private,241805,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K -75,Self-emp-not-inc,36325,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -19,State-gov,431745,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -37,Self-emp-not-inc,168496,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -47,State-gov,160045,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,479482,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -51,Local-gov,110327,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,189219,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,156926,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -20,Private,210338,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -41,Private,119079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,>50K -28,Private,200515,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -28,Self-emp-inc,115705,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -63,Private,188999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -33,Federal-gov,207723,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -22,Private,351952,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -31,Private,325658,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,187560,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,176270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -19,Private,63363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -59,Private,264048,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K -37,Self-emp-not-inc,227253,Preschool,1,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,Mexico,<=50K -39,Private,98886,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,4508,0,40,Mexico,<=50K -57,Self-emp-not-inc,135134,Masters,14,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -23,Private,202344,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,157886,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,201901,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,1719,15,United-States,<=50K -58,Private,374108,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Local-gov,74949,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,152940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,195322,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -71,Private,187493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -32,Private,116539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,55,United-States,>50K -37,?,171482,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -38,Federal-gov,104236,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -37,Self-emp-not-inc,33975,Bachelors,13,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,72896,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,437727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -38,Private,257416,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,216604,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,14,United-States,<=50K -22,Private,228516,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Local-gov,108739,11th,7,Widowed,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,124963,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,207824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -21,Private,212619,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,190987,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -42,Private,123838,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -20,Private,247115,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -28,Local-gov,332249,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -45,Private,180309,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,273818,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Mexico,<=50K -59,Self-emp-not-inc,32537,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -30,Private,198091,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -20,?,96862,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -35,Federal-gov,104858,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,204792,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,520586,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K -28,Private,96020,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -42,Self-emp-not-inc,200574,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -50,Private,204838,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -49,Private,240629,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -20,Private,185452,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,175059,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,184456,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,55,United-States,>50K -74,?,104661,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -58,Private,478354,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -29,Private,336167,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,30,United-States,<=50K -38,Private,233571,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K -55,Private,202652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -51,Private,292110,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,169117,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1887,40,United-States,>50K -37,Private,105044,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,129707,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -34,Private,506858,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,>50K -18,?,128538,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,304872,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Self-emp-inc,195398,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,48,Canada,>50K -22,Private,260594,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -34,Private,34848,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,40,United-States,<=50K -19,?,117201,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K -19,Private,63814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,18,United-States,<=50K -25,Private,173212,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,215232,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,10,United-States,<=50K -20,Private,333838,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -24,Local-gov,32950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Private,213214,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,140564,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -17,Private,32607,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,72208,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,187589,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,7,United-States,<=50K -30,Private,415266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Private,116632,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -40,Local-gov,42703,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,91857,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -32,State-gov,110171,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K -28,Private,134890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,215458,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -35,Private,287658,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -34,Private,286020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -46,State-gov,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K -25,Private,215384,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,30035,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,State-gov,118544,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -41,Private,165309,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,State-gov,312015,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,101192,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,197583,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,>50K -39,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -18,Private,206008,Some-college,10,Never-married,Sales,Unmarried,White,Male,2176,0,40,United-States,<=50K -43,Private,212894,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,180278,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,166585,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -26,State-gov,70447,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -47,Private,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,133449,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,26,United-States,<=50K -55,Private,129762,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,Scotland,<=50K -47,Private,178309,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -24,Private,191948,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -67,Self-emp-not-inc,116057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,3273,0,16,United-States,<=50K -52,Private,114674,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -29,Private,138692,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,283268,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,166416,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,187720,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,?,>50K -18,Local-gov,152182,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,0,6,United-States,<=50K -29,Private,438429,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,150025,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -40,Private,144067,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,108438,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,114087,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5013,0,40,United-States,<=50K -38,?,338212,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -39,Self-emp-not-inc,55568,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K -79,Private,121552,7th-8th,4,Widowed,Other-service,Unmarried,Black,Male,0,0,5,United-States,<=50K -35,Private,109133,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,3674,0,52,United-States,<=50K -27,Private,127796,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -36,Private,305352,10th,6,Divorced,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -29,Private,102345,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,131584,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -45,Private,199590,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,Mexico,<=50K -23,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,306440,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,State-gov,127610,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,283613,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -32,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -40,?,65545,Masters,14,Divorced,?,Own-child,White,Female,0,0,55,United-States,<=50K -90,Private,51744,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,>50K -48,Private,148576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,Private,86939,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,304143,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -41,Private,121201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,358682,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,119539,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K -65,State-gov,326691,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -49,Local-gov,95256,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K -31,State-gov,151763,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -65,Self-emp-not-inc,316093,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,1668,40,United-States,<=50K -67,Self-emp-inc,116517,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -32,Private,196125,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Private,50380,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,56121,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K -21,Private,402136,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,461929,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -47,Local-gov,204698,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,138634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,191932,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,<=50K -60,Self-emp-not-inc,187794,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,60,United-States,>50K -23,Private,230824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,120277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -37,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,309513,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,266062,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -54,Private,161691,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2559,40,United-States,>50K -28,Private,354095,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,186420,Masters,14,Separated,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K -41,Local-gov,185057,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,59146,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,31387,Bachelors,13,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,2885,0,25,United-States,<=50K -35,Private,23621,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -50,Private,136836,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,97176,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K -24,Private,249909,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,190072,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Private,82778,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -55,?,194740,10th,6,Widowed,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,201122,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,243607,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -35,State-gov,37314,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -21,State-gov,82847,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -24,Private,70261,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,102202,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,84535,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -33,Private,141841,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -51,Private,85382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -54,Private,182187,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,38,Jamaica,>50K -30,Private,310889,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K -56,Private,437727,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,211123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,306790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Self-emp-not-inc,156033,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Private,120131,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -38,Private,91857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -34,Private,205581,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -41,Local-gov,195897,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,108435,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,226735,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,193720,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,Greece,>50K -45,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -37,Self-emp-inc,190759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -22,Private,234880,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -43,Self-emp-not-inc,83411,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -40,Private,207025,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,38,United-States,<=50K -39,Private,123417,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Self-emp-not-inc,114396,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -30,Private,288419,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -53,Federal-gov,205288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,35,United-States,>50K -49,State-gov,118567,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,159917,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -45,Local-gov,310260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Private,223975,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,298753,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -53,Private,95519,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -17,Private,124661,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -42,Private,806552,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,353317,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -20,Private,432154,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K -34,Private,125279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,193815,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Italy,<=50K -31,Private,176711,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -22,Private,163519,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -31,State-gov,190027,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Local-gov,181434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -89,Private,152839,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,282069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,67083,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,1471,0,40,Cambodia,<=50K -28,Local-gov,299249,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Local-gov,162551,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,35,China,<=50K -62,Private,171757,7th-8th,4,Widowed,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,178449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,45,United-States,>50K -44,Private,153489,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,231919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,39529,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -30,Private,173350,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,145522,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -55,Private,160303,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,250261,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -60,Self-emp-inc,96660,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,8,United-States,>50K -46,Private,138626,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,123088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,20308,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Private,192290,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -46,Private,139268,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,?,334105,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,175431,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -69,Private,71489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -32,Private,181091,Bachelors,13,Never-married,Sales,Own-child,White,Male,13550,0,35,United-States,>50K -25,Private,207965,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -57,State-gov,290661,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -24,Private,32311,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,185357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Private,145548,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -57,Private,96779,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,State-gov,33795,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -76,?,431192,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -26,Private,174592,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -56,Private,257555,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -19,Private,318822,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,148398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Federal-gov,60641,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -58,Private,96840,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,37,United-States,<=50K -19,Local-gov,176831,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K -38,Private,242559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -54,Self-emp-not-inc,82551,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,10,United-States,<=50K -33,Self-emp-not-inc,294434,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,76,United-States,>50K -49,Private,328776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,378546,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K -53,Private,175220,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,48,Taiwan,>50K -35,Private,139770,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,29,United-States,<=50K -25,Private,211497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,210869,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,80,United-States,<=50K -55,Self-emp-inc,189933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,201495,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,526968,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,86459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -28,Private,207513,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -27,Private,244751,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Male,0,0,40,United-States,<=50K -45,Federal-gov,311671,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -26,Self-emp-not-inc,263300,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -59,Private,279232,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -55,Private,154580,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,2580,0,40,United-States,<=50K -46,Private,394860,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,191954,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,64860,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K -31,Private,130620,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K -55,Private,204334,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,England,>50K -51,Private,81534,11th,7,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -18,Private,311489,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K -60,Private,53707,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,157117,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,102726,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -71,State-gov,210673,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,28,United-States,<=50K -46,Local-gov,247053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,231335,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,460214,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -42,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,190895,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,180807,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Local-gov,142801,Masters,14,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -19,Private,386378,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -18,Self-emp-not-inc,42857,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Self-emp-not-inc,203505,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,155057,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -56,Self-emp-not-inc,254711,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -40,Private,214010,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -20,Private,317443,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K -30,Self-emp-inc,292465,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,178322,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,269786,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -21,Private,194723,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K -47,Private,105449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -54,Private,94055,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,103078,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,269300,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,State-gov,110311,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,37315,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -49,Private,240869,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -17,?,151141,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -32,State-gov,247481,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -32,Private,226267,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -31,Self-emp-inc,117963,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,59287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,300195,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Private,88055,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,212936,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -53,Local-gov,202733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K -18,Private,216730,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -37,Private,200374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -24,Private,112137,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,50,South,<=50K -24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,99497,12th,8,Never-married,Other-service,Own-child,Other,Female,0,0,30,United-States,<=50K -26,Local-gov,205570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,160456,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,128777,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -56,Private,128764,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -23,Private,213115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -27,State-gov,340269,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,229656,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K -43,Private,331649,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,206215,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,69730,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,Private,124930,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2267,40,United-States,<=50K -31,Private,164870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,175398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Local-gov,248748,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,97306,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -30,State-gov,290677,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -20,?,293136,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -24,Private,102323,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,137192,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1977,50,South,>50K -32,Private,49593,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Local-gov,328610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,375526,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,136986,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,37937,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,110476,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,206125,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,72887,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,1,Vietnam,<=50K -58,Private,136841,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K -22,Private,219042,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,302406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -51,Private,177927,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Self-emp-inc,306868,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,155781,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,32801,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -32,State-gov,92003,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -29,Private,244246,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,50,United-States,>50K -28,Private,153869,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,217424,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -53,Private,166386,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -38,Private,103751,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,182926,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,383493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -72,Private,177769,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -23,Private,204653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,72,Dominican-Republic,<=50K -33,Private,159123,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Private,156926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Canada,>50K -56,Private,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -47,Private,98044,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,25,El-Salvador,<=50K -40,Private,154374,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -42,Private,192569,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,>50K -38,Private,314310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,284582,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,388725,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -29,Private,54411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,<=50K -25,Private,201579,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -71,Private,228806,9th,5,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,6,United-States,<=50K -26,Private,49092,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,202450,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,117444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -51,Private,48343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -27,Private,161683,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -42,Federal-gov,25240,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,181139,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,?,340580,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K -30,Private,203488,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,108946,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,106935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,286750,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,193598,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -43,Private,198203,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Federal-gov,255543,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,171468,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,226106,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,129007,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,>50K -24,Private,173679,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -52,?,88073,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Self-emp-inc,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -18,Self-emp-inc,101061,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K -23,?,87569,Some-college,10,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,394645,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,306985,Masters,14,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,2415,50,United-States,>50K -45,Private,103331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,15024,0,44,United-States,>50K -55,Private,247552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,<=50K -36,Local-gov,52532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -28,?,113635,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,?,194031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,198997,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -62,Private,91433,10th,6,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,444554,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,176900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,>50K -17,?,371316,10th,6,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,322547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,87209,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,105431,HS-grad,9,Divorced,Farming-fishing,Unmarried,Black,Female,0,0,39,United-States,<=50K -24,Private,698418,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -26,Self-emp-not-inc,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -51,Private,191659,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,65,United-States,>50K -38,Private,60313,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,69333,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -43,Self-emp-inc,175485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,221955,5th-6th,3,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -29,Private,452205,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -57,Self-emp-not-inc,47178,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -35,Private,117567,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,284250,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,32,United-States,<=50K -20,Private,218178,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,193285,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,63434,12th,8,Never-married,Farming-fishing,Own-child,White,Female,0,0,30,United-States,<=50K -38,Private,439592,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,256866,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K -54,Private,398212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K -43,Private,207392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K -29,Private,499197,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,259715,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,238802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -34,Private,136721,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,259479,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -55,Private,208451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,145649,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -60,Self-emp-not-inc,269485,Preschool,1,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -35,Private,377798,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Local-gov,379672,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -23,Private,37514,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -32,Self-emp-not-inc,292465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -56,Private,105582,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -48,Private,108993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -29,Private,149902,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -29,Private,191535,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -65,Private,90113,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,338717,11th,7,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,25,United-States,<=50K -18,Private,194897,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -25,Private,135845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,145246,Some-college,10,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,102771,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -33,Self-emp-not-inc,235271,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Local-gov,196797,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,36,United-States,>50K -19,Private,188568,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,State-gov,160383,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -65,Private,172815,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,201613,11th,7,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K -44,Private,175935,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -33,Federal-gov,97654,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,333843,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,199555,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -31,Private,126402,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,60,United-States,<=50K -50,Private,207367,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,Cuba,<=50K -34,Private,426431,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -42,Private,289636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K -70,?,167358,9th,5,Widowed,?,Unmarried,White,Female,1111,0,15,United-States,<=50K -51,Private,138358,10th,6,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,35,United-States,<=50K -17,?,188758,10th,6,Never-married,?,Own-child,White,Male,0,0,14,United-States,<=50K -59,Private,100453,7th-8th,4,Separated,Other-service,Own-child,Black,Female,0,0,38,United-States,<=50K -55,Private,171242,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -22,Private,347867,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,1719,40,United-States,<=50K -38,Private,206535,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -23,Private,249087,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -35,Local-gov,300681,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,7298,0,35,United-States,>50K -28,Private,90928,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,225231,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K -21,Private,216129,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -78,?,317311,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,205195,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -34,Private,113838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,159929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,?,32855,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,172232,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -18,Local-gov,146586,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -29,Private,337693,5th-6th,3,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K -35,Federal-gov,35309,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,28,?,<=50K -19,Private,235732,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -20,Private,190290,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,Canada,<=50K -23,Private,131699,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K -38,Private,149347,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -19,Local-gov,167816,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Federal-gov,20469,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Federal-gov,210945,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K -26,Private,192208,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,32,United-States,<=50K -30,Private,361280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -36,Private,288103,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,200967,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,36,United-States,<=50K -49,Self-emp-not-inc,241753,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -64,State-gov,114650,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,190762,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K -48,Private,240629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K -31,Private,214288,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,232142,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K -52,Private,208302,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -20,Private,267706,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -21,Private,266467,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2205,40,United-States,<=50K -28,Private,56340,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,95989,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -38,Private,162164,11th,7,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,107287,10th,6,Widowed,Exec-managerial,Unmarried,White,Female,0,2559,50,United-States,>50K -21,Private,256504,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,49115,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K -50,Federal-gov,96657,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,124915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,183639,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,232577,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,56121,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,168221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -65,?,104454,Bachelors,13,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -73,Private,192740,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,259351,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -19,Private,164938,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,210830,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -37,Private,306868,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K -38,Private,242080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -19,Private,243373,12th,8,Never-married,Sales,Other-relative,White,Male,1055,0,40,United-States,<=50K -42,Private,376072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -27,Self-emp-not-inc,151402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1573,70,United-States,<=50K -34,Private,158688,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,210534,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,106838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -38,Private,201454,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,105138,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -39,Self-emp-not-inc,152587,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,231714,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,311357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Private,231620,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,Mexico,<=50K -34,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -45,Private,155093,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,38,Dominican-Republic,<=50K -44,Private,195258,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Federal-gov,65160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,180206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,2415,40,China,>50K -41,Private,195821,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -46,Private,189498,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K -58,Private,227800,1st-4th,2,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,50,United-States,<=50K -29,Private,160786,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -45,Private,188432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,379917,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K -21,Private,57916,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,?,96219,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Private,99233,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -21,?,403860,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -36,State-gov,235779,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,111232,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,Private,213955,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,2001,40,United-States,<=50K -31,Private,223046,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -42,Local-gov,177937,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K -65,Private,149811,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2206,59,Canada,<=50K -17,Private,342752,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -30,Local-gov,31171,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -37,Private,191137,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,25,United-States,<=50K -26,Private,167106,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -36,Private,361888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -38,Federal-gov,216924,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,338320,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -32,Self-emp-not-inc,173854,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,>50K -19,Private,95078,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -33,Local-gov,318921,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,163604,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Local-gov,70164,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -23,Private,442274,12th,8,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,262024,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K -44,Private,116632,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,203505,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,23,United-States,<=50K -21,Self-emp-not-inc,74538,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,25,United-States,<=50K -56,Private,357939,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,349620,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,104525,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,340458,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,189759,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,2001,40,United-States,<=50K -34,Private,362787,10th,6,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -46,Local-gov,165484,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -25,Private,110138,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,216819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Self-emp-inc,181608,10th,6,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K -40,Self-emp-inc,214781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K -36,Private,267556,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -23,Self-emp-not-inc,145744,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,38257,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -65,Self-emp-inc,323636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K -68,Self-emp-not-inc,211584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,201635,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,177277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -20,Local-gov,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -48,Private,207540,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,60,United-States,>50K -51,Self-emp-not-inc,256963,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -46,Local-gov,102308,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -79,?,165209,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,140676,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,258589,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -27,Federal-gov,175262,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,170174,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,179138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,141350,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,?,172775,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K -58,Private,98630,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Private,230039,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,625,38,United-States,<=50K -44,Self-emp-not-inc,75065,12th,8,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K -42,Private,45363,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,199058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,?,<=50K -24,Private,283092,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Jamaica,<=50K -31,Private,73514,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Private,302473,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -64,?,64101,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -52,Private,180949,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -25,Self-emp-not-inc,121285,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,123920,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -74,Self-emp-not-inc,392886,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K -42,Private,190290,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,213179,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,147653,10th,6,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1977,35,?,>50K -47,Private,51835,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,60,Honduras,>50K -35,Private,128516,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -50,?,123044,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -59,Federal-gov,101626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -45,?,27184,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K -51,State-gov,42901,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -45,Private,140664,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,144949,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,69306,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,160167,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,154641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,203924,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2597,0,45,United-States,<=50K -33,Private,193042,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -39,Federal-gov,432555,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1628,40,United-States,<=50K -52,Private,102828,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -50,Private,69345,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,44,United-States,>50K -57,Self-emp-inc,119253,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K -58,Private,201011,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -64,Self-emp-not-inc,31826,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,State-gov,143517,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,239577,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,187563,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -26,Private,156848,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -48,?,61985,9th,5,Separated,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -37,Private,109633,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K -28,Private,161674,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -18,?,160984,11th,7,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K -31,Private,186144,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Mexico,<=50K -25,Local-gov,187792,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,225515,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -48,Local-gov,31264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,United-States,>50K -26,Private,245029,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,Private,125421,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -22,Private,59184,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,157103,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,0,1974,40,United-States,<=50K -34,Private,30673,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,170540,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,99369,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,50,United-States,<=50K -36,State-gov,96468,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,298891,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,Honduras,<=50K -33,Private,149184,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -37,Private,301070,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -53,Federal-gov,174040,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -54,State-gov,161334,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K -32,Private,155193,HS-grad,9,Separated,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -46,Private,28334,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,167149,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -46,Private,154405,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,45,United-States,<=50K -41,Local-gov,213019,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,206983,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Columbia,<=50K -43,Private,303426,HS-grad,9,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,5721,0,40,Philippines,<=50K -51,Private,24185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,184756,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,247978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Local-gov,240517,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,66686,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,271521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,Philippines,>50K -47,Private,102569,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Private,287828,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -34,Self-emp-not-inc,87209,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,83401,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,108256,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -51,Self-emp-not-inc,218311,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -20,Private,344698,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,271828,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Private,112131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,362006,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -54,Federal-gov,57679,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -26,Private,199600,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,195105,HS-grad,9,Divorced,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,142828,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -45,Self-emp-inc,204196,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K -56,Private,230039,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -32,Self-emp-not-inc,27939,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -48,Private,359808,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K -46,State-gov,295791,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -43,Self-emp-inc,504423,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,>50K -37,Self-emp-inc,132879,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -31,Private,169122,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,28,United-States,<=50K -66,Self-emp-not-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,17,United-States,>50K -22,Private,112164,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K -42,Federal-gov,126320,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,61343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,177063,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -33,Private,65278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,56331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,119655,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -40,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,179468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,47707,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Local-gov,221722,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K -37,Private,175614,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,53497,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,200121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Federal-gov,183804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,34998,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,99064,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -56,Private,65325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -31,Federal-gov,144949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,91882,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -60,Self-emp-not-inc,119575,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,202071,HS-grad,9,Widowed,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,141420,HS-grad,9,Married-civ-spouse,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,123490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,203463,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,219262,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,289579,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,103020,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K -74,?,278557,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -29,Private,238073,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Columbia,<=50K -53,Self-emp-not-inc,175456,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -57,Federal-gov,66504,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -32,Private,72744,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,472411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,304949,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -49,Self-emp-inc,197038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,?,188070,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -46,Private,172155,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Peru,<=50K -43,Local-gov,108945,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K -23,Private,161708,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -50,Self-emp-not-inc,90525,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,15024,0,20,United-States,>50K -30,Private,177304,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -41,Private,236483,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,145333,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,181751,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,193026,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,195532,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,193089,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,188398,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -71,Local-gov,303860,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Male,2050,0,20,United-States,<=50K -27,Local-gov,216013,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,359591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,190709,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,52,United-States,<=50K -47,Private,347088,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,165468,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -45,Private,266860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,?,286689,Masters,14,Never-married,?,Not-in-family,White,Male,4650,0,30,United-States,<=50K -19,?,263338,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -30,Private,112650,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,190747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,95949,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,162236,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,?,>50K -22,Private,537222,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -22,Private,71009,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -30,Private,241583,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,38948,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -27,Private,56299,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,188273,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K -59,Private,171328,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Female,2202,0,37,United-States,<=50K -29,Private,185386,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,Mexico,<=50K -27,Private,168138,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -43,Private,206139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Private,222434,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,175642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -36,Private,76417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -18,State-gov,268520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Local-gov,348802,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,129311,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,95,United-States,>50K -29,Private,196971,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,72,United-States,<=50K -30,Private,156718,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,139086,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Private,221366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,Germany,<=50K -56,Private,212864,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,307468,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,379797,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -54,Local-gov,204325,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -20,Self-emp-inc,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,174242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -47,Private,206659,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -64,Private,63676,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,113364,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,152908,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,210945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -44,State-gov,204361,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,141590,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,12,United-States,<=50K -32,Local-gov,210448,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -55,Private,451603,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,State-gov,206927,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,237428,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1504,40,United-States,<=50K -28,Private,215955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,117849,Assoc-acdm,12,Divorced,Sales,Own-child,White,Male,0,0,44,United-States,<=50K -19,Private,29526,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -45,Private,151267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,>50K -48,Private,119199,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K -19,Private,87653,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -61,Self-emp-inc,84409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -21,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,142989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,258170,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -74,Self-emp-not-inc,43599,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -47,Private,185385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,?,80165,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,257562,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -47,Local-gov,336274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,47541,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -45,Private,30289,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,125954,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K -21,Private,126613,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,103628,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,4,India,<=50K -28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,116677,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,201495,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,100313,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K -27,Private,96219,HS-grad,9,Divorced,Other-service,Own-child,White,Female,3418,0,32,United-States,<=50K -33,State-gov,374905,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,48520,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,43,United-States,<=50K -43,Private,86750,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K -22,Federal-gov,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -61,Private,185152,11th,7,Widowed,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -56,Private,133819,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,255004,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,199411,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Private,221447,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,243142,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,203924,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,163205,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -44,Private,26669,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -29,Private,144592,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,209472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,123964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K -67,Self-emp-inc,273239,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -46,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -61,Local-gov,149981,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,257405,5th-6th,3,Never-married,Farming-fishing,Unmarried,Black,Male,0,0,40,Mexico,<=50K -22,Private,351381,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,273771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Self-emp-not-inc,194668,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -53,Private,92475,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -65,Local-gov,125768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K -52,Self-emp-inc,168539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,279914,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K -29,Self-emp-not-inc,160786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -42,?,167710,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,18,United-States,<=50K -43,Local-gov,135056,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -41,Self-emp-not-inc,34037,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -48,Private,128432,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,382242,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -47,Private,49298,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,111883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -40,State-gov,140108,9th,5,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -59,Self-emp-not-inc,114760,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K -44,Local-gov,236321,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,163392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -45,Private,130561,11th,7,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -30,Private,154843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,168071,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,166527,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,United-States,<=50K -38,Private,162551,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Hong,<=50K -61,Local-gov,195519,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -40,Private,262872,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,137991,Some-college,10,Married-AF-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -32,Private,168854,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,United-States,<=50K -47,Local-gov,93476,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -19,Private,183589,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -48,Private,203576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,267912,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K -22,Private,180060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Yugoslavia,<=50K -30,Private,272669,Some-college,10,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Private,49115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Local-gov,73392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -21,Private,239577,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,301556,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -49,Private,202053,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -48,Private,55720,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,40,United-States,<=50K -25,Private,199224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -59,Self-emp-not-inc,124771,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -52,Private,150930,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,197033,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,97934,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,5178,0,40,United-States,>50K -17,Private,159849,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K -20,Local-gov,224229,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,210857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -41,Self-emp-not-inc,112362,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K -29,Private,255949,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K -48,Private,102597,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -25,Private,220220,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -49,Private,125892,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,329993,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,238917,7th-8th,4,Never-married,Craft-repair,Other-relative,White,Male,0,0,36,United-States,<=50K -29,Private,351731,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,37672,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,119156,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,308205,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,96862,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,<=50K -56,?,141076,HS-grad,9,Divorced,?,Not-in-family,Black,Female,3674,0,40,United-States,<=50K -50,Self-emp-not-inc,198581,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,?,193511,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,35,El-Salvador,<=50K -20,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Private,227714,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -37,State-gov,122493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -42,Private,195124,7th-8th,4,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,35,Puerto-Rico,<=50K -41,Self-emp-not-inc,36651,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -29,Private,173851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,203783,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,<=50K -53,Private,448862,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -35,Private,186126,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,?,<=50K -50,Local-gov,234143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -52,Private,329733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,106176,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K -23,Private,81786,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -78,Self-emp-not-inc,316261,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,99999,0,20,United-States,>50K -39,Private,158962,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,192226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -25,Private,231638,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K -48,Private,146919,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -59,Private,366618,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -50,Private,158284,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -17,Private,126832,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,206253,9th,5,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,36020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,?,78388,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K -46,State-gov,136878,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,277488,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,United-States,<=50K -40,Private,209040,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,184543,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,31387,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -43,Private,191196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -31,Private,111567,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K -33,Local-gov,34080,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -51,Private,230095,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,?,61791,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,187069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,116138,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,11,Taiwan,<=50K -30,Private,487330,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -45,Private,53524,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -70,Private,220589,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K -64,Self-emp-not-inc,113929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,178778,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -26,Private,131686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,403911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,40,United-States,>50K -38,Private,135162,1st-4th,2,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K -18,?,271935,11th,7,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K -45,Private,353824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -31,Federal-gov,142470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,258298,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,193047,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,136921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,101266,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,165611,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -22,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,256504,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,100669,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -27,Private,174419,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,53306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -58,Local-gov,137249,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,33,United-States,<=50K -26,Private,491862,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,?,172152,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,Taiwan,<=50K -44,Private,32000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,313835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,192644,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,99220,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,96660,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,33,United-States,<=50K -39,Self-emp-not-inc,34378,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,171705,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -39,Private,347960,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,35,United-States,>50K -26,Private,36201,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,76344,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Local-gov,112650,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,297094,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -20,?,358783,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,87507,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -23,Private,204641,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -23,Private,208908,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,?,156890,10th,6,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -32,State-gov,71151,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,95855,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -67,Self-emp-inc,76860,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -17,Private,277541,11th,7,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K -21,?,520231,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,178841,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,166851,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -57,Private,104272,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,100818,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,7443,0,45,United-States,<=50K -30,Private,455995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,188236,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,315287,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,?,<=50K -20,Local-gov,325493,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -62,?,68461,Doctorate,16,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -59,Private,164970,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,<=50K -48,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,>50K -25,Private,53147,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,50,United-States,<=50K -35,Private,204527,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -34,Self-emp-not-inc,192259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -65,Local-gov,32846,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,35,United-States,<=50K -27,Private,173927,Some-college,10,Never-married,Tech-support,Own-child,Other,Female,0,0,32,Jamaica,<=50K -25,Private,199224,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -52,Private,349502,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,45,United-States,<=50K -22,Private,181557,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K -22,Private,333838,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,208946,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,222848,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K -64,Private,240357,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -36,Private,123151,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,101260,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,264210,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,20,United-States,<=50K -44,Self-emp-not-inc,37618,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-inc,133876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -56,Self-emp-not-inc,19896,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K -19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -47,Self-emp-not-inc,180446,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,112812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Self-emp-inc,295254,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,231507,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,160829,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,>50K -28,Private,54670,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,?,<=50K -46,Local-gov,258498,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,120283,12th,8,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -23,Private,182494,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,302149,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -43,Private,361280,10th,6,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,42,China,<=50K -56,State-gov,222745,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K -31,Private,574005,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -45,Private,109434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -63,Private,219540,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Mexico,<=50K -38,Private,156728,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,56,United-States,<=50K -43,Private,266439,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -57,Private,163047,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K -46,Local-gov,398986,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,52,United-States,>50K -61,Private,205266,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,167440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -51,Private,82566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,211654,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K -24,Private,265567,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,77953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -26,Private,238787,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -34,Local-gov,106169,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,State-gov,320818,Some-college,10,Married-spouse-absent,Other-service,Other-relative,Black,Male,0,0,40,Haiti,<=50K -33,Private,291414,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,42907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K -56,Private,345730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -32,Private,171889,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,68,United-States,<=50K -24,Private,177287,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -20,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K -19,Private,141868,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -38,State-gov,31352,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -51,Private,231181,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,21,United-States,<=50K -22,Private,72887,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K -53,Federal-gov,173093,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K -54,Private,343242,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -77,?,152900,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -56,Self-emp-inc,220896,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Federal-gov,55363,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -40,Private,248406,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K -45,Private,142889,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K -39,Private,297449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,133770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2202,0,52,Philippines,<=50K -28,Private,95566,1st-4th,2,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,35,Dominican-Republic,<=50K -56,Private,398067,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,56,United-States,>50K -23,Private,443701,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,177832,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -57,Self-emp-not-inc,152030,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,>50K -23,Private,190290,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,111415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -59,Private,272087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,168403,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,40,United-States,<=50K -18,?,214989,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,24,United-States,<=50K -21,Private,243921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,375980,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K -23,Private,206861,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K -51,Private,122288,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K -34,Private,242704,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,177351,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -60,Private,226949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -29,Private,149211,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,160625,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K -45,Private,55272,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,212894,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K -38,Private,55899,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,414991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -54,Local-gov,185846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -40,Private,173651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,194259,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,204817,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K -38,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,25,United-States,<=50K -34,State-gov,103642,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1651,40,United-States,<=50K -37,Private,96483,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,5178,0,38,United-States,>50K -37,Federal-gov,254202,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K -58,Private,200040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,200525,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -50,?,156008,11th,7,Married-civ-spouse,?,Own-child,Black,Female,0,0,40,United-States,<=50K -27,State-gov,38353,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,161035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K -22,Private,91842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K -51,Private,197600,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,220585,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,178877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -65,Self-emp-inc,184965,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -41,Federal-gov,27444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,34378,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,276133,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Self-emp-not-inc,227310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,152307,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,213149,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,?,254630,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,80,United-States,<=50K -40,Private,96497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,102130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -32,Private,113504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,339025,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1579,40,Vietnam,<=50K -46,State-gov,421223,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,70240,Some-college,10,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -43,Private,182254,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Federal-gov,76131,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -45,State-gov,183710,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -47,Private,139268,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,38,United-States,>50K -58,Private,152731,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,264765,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -23,?,138768,Bachelors,13,Never-married,?,Own-child,White,Male,2907,0,40,United-States,<=50K -44,Local-gov,189956,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,15024,0,40,United-States,>50K -57,Federal-gov,47534,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -61,Local-gov,202384,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -35,Private,224889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,125933,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -59,Private,91384,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -30,Private,94413,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,Private,223231,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -51,Local-gov,548361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,26,United-States,<=50K -45,Self-emp-inc,122206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,97429,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K -30,Private,378009,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -17,Self-emp-inc,183784,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -33,Private,145434,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,226388,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,52,United-States,<=50K -23,Private,165474,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,215656,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K -46,Private,206889,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -32,Private,174789,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -36,Federal-gov,255191,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K -40,Self-emp-not-inc,95226,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Self-emp-not-inc,166153,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,190290,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,166857,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,52888,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K -67,?,187553,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,50092,Bachelors,13,Divorced,Exec-managerial,Unmarried,Other,Male,0,1138,40,United-States,<=50K -59,Self-emp-not-inc,175827,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -58,Private,255822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,76017,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -51,Private,189511,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K -19,Private,299050,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,87239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -57,Private,154368,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,341368,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Private,167948,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K -31,Private,112115,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,State-gov,174957,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,123416,12th,8,Separated,Prof-specialty,Own-child,White,Female,1055,0,40,United-States,<=50K -50,Self-emp-inc,100029,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,65,United-States,>50K -22,Private,216867,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -45,Federal-gov,106910,HS-grad,9,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -18,Private,229296,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -57,Private,225927,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,94448,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,153151,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K -27,Private,118598,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K -30,Private,248584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,225385,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -31,State-gov,195181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -51,Private,269080,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,190115,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,44,United-States,<=50K -36,Self-emp-not-inc,119272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -47,Private,341762,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,83912,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,Mexico,<=50K -41,Private,170866,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,234373,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,<=50K -90,?,77053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,4356,40,United-States,<=50K -33,Private,269605,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K -25,Private,278404,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Local-gov,301124,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,45,United-States,>50K -23,Private,250037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,228659,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,34803,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,131916,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Italy,>50K -38,Local-gov,162613,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2258,60,United-States,<=50K -25,Private,196771,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K -55,Self-emp-not-inc,183580,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,204172,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -19,Private,105289,10th,6,Never-married,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K -33,Private,231413,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,200973,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,66095,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,121836,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K -35,Private,179579,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -72,?,194548,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -54,Private,141663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -56,Private,124566,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,124137,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2202,0,40,United-States,<=50K -49,Private,186009,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,43,United-States,<=50K -28,Private,192932,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,396538,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,29,United-States,<=50K -40,Private,104397,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,194426,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -33,Local-gov,83671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,50,United-States,<=50K -17,Private,172050,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -55,Private,190257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K -22,Private,99829,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -52,Private,270221,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K -22,Private,106700,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,27,United-States,<=50K -18,Private,126125,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,177940,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,357348,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,40,United-States,<=50K -71,Private,137499,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K -53,Self-emp-not-inc,122109,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,70,United-States,<=50K -27,Private,191230,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K -46,Private,84402,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -27,Private,388998,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,13550,0,46,United-States,>50K -36,Private,117312,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K -17,Private,169155,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -22,Private,191789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,372728,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,24,Jamaica,<=50K -69,Private,108196,9th,5,Never-married,Craft-repair,Other-relative,White,Male,2993,0,40,United-States,<=50K -54,?,389182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,60,Germany,<=50K -28,Local-gov,356089,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K -33,Private,549413,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -51,?,177487,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,282155,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -23,Private,522881,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -38,Private,222450,Some-college,10,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,199688,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -56,Self-emp-not-inc,179594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,255885,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,229895,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -26,?,40032,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,156800,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Self-emp-inc,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,90,United-States,>50K -47,Private,115070,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,174995,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -58,Private,156040,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1848,40,United-States,>50K -57,Local-gov,132717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -35,Federal-gov,22494,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -49,Private,99179,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,237630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K -29,Private,164040,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,594,0,16,United-States,<=50K -24,Private,325596,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,335570,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,?,<=50K -60,Self-emp-not-inc,122314,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -48,Private,190072,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -39,Private,269323,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,38,United-States,>50K -32,Private,273287,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -35,Private,216473,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -35,Private,194668,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -46,Private,324601,1st-4th,2,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,Guatemala,<=50K -58,Private,83542,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,107627,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -53,Self-emp-not-inc,34973,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -18,State-gov,30687,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -69,Private,128348,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,9386,0,50,United-States,>50K -58,Private,357788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -24,State-gov,90046,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K -48,Private,205424,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K -38,Private,450924,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K -35,Local-gov,387777,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -50,Private,150941,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K -44,Private,111891,Some-college,10,Separated,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K -23,Private,376383,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K -38,Self-emp-not-inc,248694,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -46,Private,201217,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,250314,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Guatemala,<=50K -65,Private,274637,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -26,Private,250066,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,State-gov,24790,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,92036,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -25,Private,202560,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,173938,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -53,Self-emp-inc,135643,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K -31,Private,340880,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -37,Private,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,306225,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Poland,<=50K -31,Private,105479,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Self-emp-not-inc,103794,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,350783,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Private,118786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -21,Private,35424,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -22,?,289984,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,25,United-States,<=50K -43,Private,191765,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -43,State-gov,115005,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,117767,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,37869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -61,Private,231323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,122026,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,159322,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1980,80,United-States,<=50K -30,Private,229772,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,176967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,255364,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,273876,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -27,Private,187450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -52,?,129893,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,1579,30,United-States,<=50K -56,Private,183884,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,186909,HS-grad,9,Never-married,Sales,Other-relative,White,Female,1055,0,30,United-States,<=50K -43,Self-emp-not-inc,35034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K -31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,34,United-States,<=50K -36,Private,41624,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K -72,Self-emp-not-inc,284120,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,345730,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,162868,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -56,Private,192845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -20,Private,162151,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -36,Private,231948,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,64,United-States,>50K -51,State-gov,367209,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -27,Private,138269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,?,229826,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,167990,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -42,Local-gov,1125613,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -52,Private,74024,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -59,Private,340591,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K -21,Private,206681,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -41,Private,381510,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,300783,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K -37,Self-emp-not-inc,126738,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -31,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -42,Private,167534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,35,United-States,<=50K -27,?,222442,Some-college,10,Divorced,?,Own-child,White,Male,0,0,25,El-Salvador,<=50K -37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -44,Private,188436,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -18,?,202516,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -50,Federal-gov,251585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -50,Private,140592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,201734,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -66,?,188686,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -33,State-gov,171151,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Private,134680,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,78855,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -38,State-gov,318886,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,52,United-States,<=50K -30,Private,370183,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,114605,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -34,Private,301251,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,285897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,200677,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,209034,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3942,0,40,United-States,<=50K -49,Private,147322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Peru,<=50K -39,Local-gov,163278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,44,United-States,<=50K -30,State-gov,141297,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -42,Local-gov,270147,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,526968,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K -25,Private,124590,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -44,State-gov,166597,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,290213,Some-college,10,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,136398,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Thailand,>50K -25,Private,456604,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,119684,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,28,United-States,<=50K -45,Local-gov,127678,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -59,Private,180645,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,176683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -33,State-gov,37070,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,<=50K -20,?,232799,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -21,Private,211301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -21,Private,78170,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -26,Private,161007,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K -37,Private,186934,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -33,Private,148261,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,156464,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,85,England,>50K -40,Private,167919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,150025,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K -35,Private,343476,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,226355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2415,70,?,>50K -38,Self-emp-not-inc,126569,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K -39,Private,340091,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,75,United-States,<=50K -40,Private,193459,Assoc-acdm,12,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -35,State-gov,227128,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Local-gov,170099,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,142912,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -78,Private,454321,1st-4th,2,Widowed,Handlers-cleaners,Other-relative,White,Male,0,0,20,Nicaragua,<=50K -24,Private,128487,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,155057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -42,Private,340885,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,44,United-States,<=50K -39,Private,451059,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,160037,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -29,Private,125976,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -29,Private,247151,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,125892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -61,Local-gov,321117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,110088,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,301251,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,182541,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -32,Private,239659,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,70,United-States,<=50K -68,Private,144137,Some-college,10,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,30,United-States,<=50K -50,Local-gov,370733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,195994,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -71,Self-emp-inc,172652,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -17,Private,125236,10th,6,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -25,Private,282612,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,118693,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,33865,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -37,Private,102953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,114678,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K -33,Private,205649,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -49,Private,79436,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,134888,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -48,Private,46677,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -39,Private,231491,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,255621,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Local-gov,93663,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -40,Private,199689,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,45687,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,4787,0,50,United-States,>50K -50,?,339547,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K -55,Self-emp-inc,142020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -55,Local-gov,133201,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,34292,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,161337,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,236648,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,275223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -26,Private,88449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -51,Private,257756,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -46,Private,479406,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1672,40,United-States,<=50K -57,Private,74156,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -41,Private,56795,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,England,<=50K -55,Private,134120,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -36,Private,181146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -18,Private,114008,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -34,Self-emp-not-inc,33442,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,275385,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -20,Private,421474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -39,Federal-gov,382859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,?,149698,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -37,Private,100508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,State-gov,288731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -40,Private,121492,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K -36,Private,126675,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -50,Local-gov,164127,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,198270,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,72338,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,199058,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K -27,Private,39232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,79827,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,59792,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -51,Private,257485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,112706,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,162944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,61777,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -23,?,154921,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -54,Self-emp-not-inc,52634,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,35595,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,167835,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,186183,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,259705,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -32,?,123971,11th,7,Divorced,?,Not-in-family,White,Female,0,0,49,United-States,<=50K -44,Self-emp-not-inc,90021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,107503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -45,Private,178319,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Private,182556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,410615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K -35,Private,133454,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,232900,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,93699,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,170850,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -26,Private,137658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Private,106068,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,112847,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -20,?,122244,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K -26,Private,115717,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K -44,Private,162372,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Puerto-Rico,<=50K -30,State-gov,152940,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,42069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,184308,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -24,Local-gov,155818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Private,145437,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -61,Private,159822,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,Poland,>50K -36,Private,208358,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,4650,0,56,United-States,<=50K -42,Self-emp-inc,272551,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,1564,60,United-States,>50K -40,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -61,Private,210488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -40,Private,339814,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,181091,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,212522,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -23,?,238087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -64,?,22228,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -59,Self-emp-inc,187502,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,478315,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,238384,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,199143,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,207937,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,193524,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -37,Private,329980,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -48,Private,175221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,47686,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -18,?,39493,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -61,Private,51385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,State-gov,144064,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -60,Private,181954,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,25,Iran,<=50K -58,?,114362,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -37,Private,48268,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,330664,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,187702,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,341632,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,46,United-States,<=50K -30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,17,Taiwan,<=50K -21,Private,176178,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -56,Private,235136,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -45,Self-emp-not-inc,183710,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,165107,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,133515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -17,Private,204018,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,15,United-States,<=50K -39,Private,247515,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Puerto-Rico,<=50K -59,Self-emp-not-inc,78020,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,479296,9th,5,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -35,Private,124090,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -40,Private,114537,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,136721,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,161708,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Without-pay,302347,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K -33,Private,166543,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,216999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -31,Federal-gov,484669,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,100067,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,>50K -40,Private,210857,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -32,Private,223212,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -47,Private,171751,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,36440,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,154451,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K -43,Self-emp-not-inc,271665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,181666,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,380614,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,13,United-States,>50K -53,Self-emp-inc,158294,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,75,United-States,>50K -32,Private,130007,10th,6,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -48,Private,197836,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -22,Private,385077,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,40,United-States,<=50K -23,Private,99408,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,103524,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,280766,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Cuba,<=50K -51,Private,171914,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -50,Private,109277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,228608,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K -24,Private,556660,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,4101,0,50,United-States,<=50K -19,Private,253529,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,United-States,<=50K -61,Self-emp-not-inc,220342,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -38,Private,170783,Assoc-voc,11,Divorced,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -25,Private,190350,10th,6,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -41,Self-emp-not-inc,143129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,339773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,13769,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -33,Private,54318,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,State-gov,81993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,46,United-States,<=50K -33,Private,33117,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,287480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,123586,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Male,0,0,40,United-States,<=50K -52,Private,146767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,33300,Assoc-acdm,12,Never-married,Farming-fishing,Other-relative,White,Male,10520,0,45,United-States,>50K -23,Private,175424,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,125577,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -67,?,190340,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,129263,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,174461,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -32,Private,240888,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,632733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,?,137492,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,399052,9th,5,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,42,United-States,<=50K -38,Private,143538,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,202812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,165799,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -70,Private,77219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -56,Private,146554,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -28,Private,31801,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K -27,?,204074,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,118161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,109097,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -47,Private,266275,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,43953,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1974,40,United-States,<=50K -39,Private,278632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,279580,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,42,Mexico,<=50K -19,Private,143404,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -17,Private,329791,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -34,Private,77271,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,20,England,<=50K -26,Private,229523,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,56,United-States,<=50K -20,Private,637080,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -47,Local-gov,250745,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -74,?,41737,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2149,30,United-States,<=50K -46,Self-emp-inc,181413,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,198613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,83984,Masters,14,Divorced,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -72,Private,205343,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,90189,7th-8th,4,Divorced,Priv-house-serv,Own-child,Black,Female,0,0,16,United-States,<=50K -24,Private,229773,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,120910,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,28996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,389725,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,67765,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,84,United-States,>50K -79,Private,121318,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,207568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,258888,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -54,Federal-gov,35576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,197918,11th,7,Never-married,Craft-repair,Unmarried,Black,Male,0,0,47,United-States,<=50K -77,Private,154205,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -31,Self-emp-not-inc,213307,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,28,Mexico,<=50K -30,Private,19302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -29,Private,394927,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -40,Private,53727,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -64,Private,174826,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,91334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -43,State-gov,114191,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -63,?,176827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -57,Private,171242,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K -45,Private,122002,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -60,Federal-gov,49921,9th,5,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,199472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Self-emp-not-inc,248406,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,352834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -37,Private,216129,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K -34,?,24504,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,99844,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -42,Private,89226,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -51,Federal-gov,124076,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,146659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -43,Private,24264,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,107125,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K -35,State-gov,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -42,Self-emp-inc,149102,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,167552,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,>50K -27,Private,183523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,150042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,209650,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -34,Private,121966,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,89735,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K -50,Private,170050,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,State-gov,277203,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,255004,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,Private,76939,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Local-gov,346668,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,187581,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,194809,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,294720,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -33,Private,44559,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,247731,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,190231,9th,5,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,11,Nicaragua,<=50K -30,Private,296453,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -36,Private,156084,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -62,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,115858,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,258550,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,202300,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,?,156877,9th,5,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,184655,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Self-emp-inc,172538,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,202062,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,269354,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K -35,Private,182203,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -78,?,33186,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,281647,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,176836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -39,Private,305597,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,41103,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -65,?,299494,11th,7,Married-civ-spouse,?,Husband,White,Male,1797,0,40,United-States,<=50K -58,Local-gov,259216,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,99359,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1617,40,United-States,<=50K -22,?,191561,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -25,Private,88922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,178421,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,36011,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Self-emp-not-inc,45136,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -40,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,71733,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -67,Private,113323,Masters,14,Divorced,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K -46,Private,159869,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -40,Private,34113,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,6849,0,43,United-States,<=50K -22,Private,43535,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,2176,0,25,United-States,<=50K -40,Private,145160,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -26,Private,159603,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -22,?,210802,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -56,Private,152874,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,1741,40,United-States,<=50K -47,Private,284916,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -46,Private,149640,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,England,>50K -27,Private,289147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,149337,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,210781,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -34,State-gov,137900,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,>50K -43,Private,143582,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,2129,72,?,<=50K -26,Private,206600,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K -42,Local-gov,97277,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,106546,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,2174,0,40,United-States,<=50K -56,Self-emp-inc,187355,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,Canada,>50K -26,Private,158397,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -60,State-gov,198815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Mexico,<=50K -38,Private,80771,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -44,?,29841,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K -47,Self-emp-inc,308241,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,>50K -25,?,230856,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,82393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -28,Private,107389,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,32,United-States,<=50K -36,Private,124111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -21,Private,149637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -48,Private,149337,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -52,Private,267583,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,196504,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,104476,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,1092,40,United-States,<=50K -54,Private,333301,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,306114,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -36,Federal-gov,51089,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -38,Private,160086,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -24,Private,315877,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -56,Self-emp-not-inc,285832,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,United-States,<=50K -43,Private,51494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -54,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -60,Private,137490,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,106306,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,194636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,United-States,<=50K -49,Private,103123,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -48,Private,299291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -22,State-gov,157332,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -21,Private,143582,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K -56,Private,94156,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,83253,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,151158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Local-gov,129232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,372525,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -18,Private,336523,12th,8,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -34,Self-emp-not-inc,320194,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K -44,Private,160785,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -46,Private,28419,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Private,184424,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,38,United-States,>50K -33,Private,377692,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,217750,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -26,Private,172063,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -56,Private,174040,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,?,104196,HS-grad,9,Separated,?,Own-child,White,Male,0,0,45,United-States,<=50K -28,Private,134890,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1974,50,United-States,<=50K -26,Private,151971,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -53,Local-gov,260106,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,2885,0,60,United-States,<=50K -34,Private,203488,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,429832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,1055,0,40,United-States,<=50K -47,Private,213408,9th,5,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Cuba,<=50K -27,?,200381,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -70,Private,142851,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,18,United-States,<=50K -18,Private,164134,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -73,?,135601,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -21,Private,315303,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -48,Local-gov,116601,Masters,14,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,50,Nicaragua,<=50K -48,Private,28497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,143604,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,2,United-States,<=50K -29,Private,359155,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,30,United-States,<=50K -24,Private,113936,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,55,United-States,<=50K -22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -44,Private,262656,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,32,United-States,<=50K -32,Local-gov,255004,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,192455,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,435503,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,State-gov,214542,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -53,Local-gov,216931,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K -28,Private,226891,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,30,?,<=50K -60,Private,186000,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Local-gov,38707,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -60,Private,25141,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,170850,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,253003,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,45,United-States,>50K -56,Self-emp-not-inc,201318,9th,5,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,50,Columbia,<=50K -29,Private,142712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,355918,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -58,Self-emp-not-inc,204021,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Local-gov,143766,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,225970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -35,Private,308489,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,<=50K -49,Private,193047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -30,Private,166671,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -45,Private,117409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,135308,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,456236,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,>50K -29,Private,121040,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,153799,1st-4th,2,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -38,Private,95654,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -23,Private,119156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,267181,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -22,Private,229456,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K -26,Private,193347,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -37,Federal-gov,203070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -43,Private,197810,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,118059,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -35,Private,183898,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K -21,?,34446,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -38,Private,119177,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -69,Private,209236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -29,Private,241607,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2597,0,40,United-States,<=50K -41,Private,347653,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,128016,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -40,Private,284086,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,227886,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -21,Private,177265,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,163665,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,266668,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Self-emp-inc,110010,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,78020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,220531,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -47,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,483777,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,202959,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,?,234791,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,25,United-States,<=50K -28,Self-emp-not-inc,160731,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,241962,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,191196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K -56,Private,295067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K -32,Local-gov,56658,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,103548,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,320071,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,48,United-States,<=50K -39,Private,72338,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -28,Private,76313,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -53,Private,341439,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -48,Self-emp-not-inc,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,274200,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -27,Private,423250,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -52,Self-emp-not-inc,242341,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -26,Private,213258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,167424,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -23,Private,123983,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -31,Federal-gov,165949,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Private,81648,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,158603,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,7,United-States,<=50K -23,Private,167692,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,169092,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K -56,Self-emp-not-inc,42166,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,384795,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,32,United-States,<=50K -33,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,94,United-States,<=50K -54,Private,183611,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3137,0,50,United-States,<=50K -43,Private,186144,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,207202,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-inc,190044,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K -36,Private,154410,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -45,Self-emp-not-inc,152752,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,3,United-States,<=50K -53,Private,137428,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -34,Self-emp-not-inc,34572,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -44,State-gov,87282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K -43,Self-emp-inc,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -26,Private,245880,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,229259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,434114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -35,Private,175232,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -47,Private,158451,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,2,United-States,>50K -30,Private,198183,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,143046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Greece,<=50K -27,Private,390657,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,122489,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1726,60,United-States,<=50K -65,Private,36209,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,>50K -35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,114691,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,135296,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,45,United-States,>50K -41,Local-gov,214242,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,72,United-States,>50K -19,Private,331433,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,32,United-States,<=50K -46,Private,195023,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K -36,Self-emp-inc,27408,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -69,State-gov,170458,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,193090,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -43,Private,135606,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -35,State-gov,190895,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,225454,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -50,Private,107665,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -49,State-gov,213307,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,243941,Some-college,10,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,1721,25,United-States,<=50K -41,Private,163322,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,36,United-States,<=50K -36,Private,204527,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K -28,Private,171067,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -67,Private,188903,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,194161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,Italy,>50K -25,Private,104662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,22,United-States,<=50K -32,Private,232766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,239683,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K -43,Private,102180,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,312667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -36,Private,93225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,113823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,<=50K -26,Private,73312,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,15,United-States,<=50K -68,?,123464,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,234699,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,60,United-States,>50K -45,Private,474617,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,5455,0,40,United-States,<=50K -61,?,108398,11th,7,Widowed,?,Unmarried,Black,Female,0,0,9,United-States,<=50K -43,Private,241895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Federal-gov,331615,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K -35,Private,54317,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K -43,State-gov,146908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -25,Self-emp-inc,161007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,275190,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -19,Self-emp-inc,148955,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,South,<=50K -48,Private,210424,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K -21,Private,231053,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,142751,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,141040,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,170842,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -21,State-gov,254620,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K -40,Local-gov,208751,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -58,?,158611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -70,Private,115239,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -38,Private,168355,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -34,Private,142897,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,35,Taiwan,>50K -35,Local-gov,179151,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,242375,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,108822,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,192386,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K -18,Private,324046,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -43,State-gov,218542,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,192791,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,State-gov,275421,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -49,Federal-gov,118701,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,143771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -52,Private,261671,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -21,Private,434710,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -54,Private,182314,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -23,Private,202284,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,142717,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,157486,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -27,Private,122038,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -56,Private,133876,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,202565,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,217962,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,?,<=50K -52,Private,48947,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -52,Private,170562,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -47,Self-emp-not-inc,330416,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Local-gov,183801,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,14,United-States,<=50K -34,Private,238588,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K -38,Private,65390,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,203180,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K -24,Private,186221,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -50,Private,392668,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,<=50K -24,Federal-gov,203182,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,40,United-States,<=50K -65,Private,228182,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,264143,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K -24,Self-emp-not-inc,236769,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,337953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,233312,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,211527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -72,Private,108038,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,Cuba,>50K -52,Private,317032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -30,Private,314649,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K -33,State-gov,35306,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K -27,Private,236246,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,60949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -46,Self-emp-not-inc,45564,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,128016,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,2202,0,40,United-States,<=50K -47,Private,299508,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,55,United-States,<=50K -44,Self-emp-inc,359259,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,Portugal,<=50K -36,Private,35309,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,306156,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,240698,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,229846,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K -40,Local-gov,333530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -31,Private,36302,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,168251,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,72310,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -26,Private,187891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,34307,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,Private,192596,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Self-emp-not-inc,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -71,Private,179574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,12,United-States,>50K -35,Private,272019,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,40,United-States,<=50K -44,Private,115323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,215014,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,124161,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,Federal-gov,267546,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -56,Private,100776,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -34,Private,434292,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K -43,Private,244172,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,?,<=50K -39,Private,281768,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,State-gov,208117,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,United-States,<=50K -24,Private,176389,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -58,Private,205410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,213334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Private,130959,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -40,Local-gov,26929,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,305474,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,<=50K -47,Private,168232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,232914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,<=50K -20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K -34,Private,232475,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,56179,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K -19,?,145989,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -57,Self-emp-inc,84231,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -66,Local-gov,54826,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,167617,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,171807,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,210013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,184428,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,91163,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,102102,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -33,State-gov,296282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,208584,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,147393,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -18,Private,183824,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -35,Self-emp-not-inc,233533,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -40,Federal-gov,219240,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K -67,Private,212705,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -27,Private,133929,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,?,<=50K -43,Federal-gov,47902,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,40,United-States,<=50K -53,Private,150726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,139743,Some-college,10,Widowed,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,247455,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,5178,0,42,United-States,>50K -52,Private,224198,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -54,Private,159755,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,208109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,227489,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Male,0,0,40,?,<=50K -18,Private,404085,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,206199,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,299347,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,60847,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -37,State-gov,482927,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K -29,Private,155256,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,30073,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1848,60,United-States,>50K -53,Self-emp-not-inc,174102,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,Greece,>50K -41,Self-emp-not-inc,134724,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,3103,0,40,United-States,>50K -34,Private,218164,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K -34,Private,608881,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Private,155701,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K -60,Private,297261,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -28,Private,149652,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -71,Private,93202,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -26,Private,189590,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -54,Private,286989,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -65,Private,178934,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,Jamaica,<=50K -26,Private,248612,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -40,Private,239708,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,280618,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,300275,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -39,Self-emp-not-inc,50096,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -65,Private,344152,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5556,0,50,United-States,>50K -26,Private,149734,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,1594,40,United-States,<=50K -24,Federal-gov,219519,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -57,Private,314153,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -38,Private,300975,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,0,1485,40,?,<=50K -25,Private,152165,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,161599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -58,Private,202652,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -31,Private,60229,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,259351,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -23,Private,42251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -51,Private,93690,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,164575,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,23438,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,>50K -46,Private,59767,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,165365,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,2885,0,40,Laos,<=50K -41,Federal-gov,333070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -24,Private,261561,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,46406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,England,>50K -22,Private,199419,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,289636,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Private,238964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -53,Private,88842,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -43,Private,128212,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,>50K -52,Private,176409,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,38294,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,2597,0,40,United-States,<=50K -35,Private,165767,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,231232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Canada,<=50K -29,Private,115064,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Local-gov,31725,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,103395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -27,Private,224105,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,225775,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K -33,Private,66384,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -43,Private,43945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,675421,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K -43,Private,191547,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -43,Private,112763,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,8614,0,43,United-States,>50K -55,Private,236731,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -30,Private,175856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -27,?,119851,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,Private,187618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,1741,40,United-States,<=50K -58,?,191830,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,417668,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -35,Self-emp-not-inc,107662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,5,Canada,<=50K -22,Private,191342,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K -29,Private,185127,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -52,Local-gov,205767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -20,Private,208117,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -28,Private,129624,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,?,<=50K -26,Self-emp-not-inc,389856,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -23,Private,435604,Assoc-voc,11,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,145114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,205707,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K -48,Private,141483,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,227220,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,56582,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,State-gov,92795,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -20,?,222007,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K -41,?,77937,12th,8,Divorced,?,Not-in-family,White,Female,0,0,40,Canada,<=50K -45,Private,87583,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,14,United-States,<=50K -30,Private,115963,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,42,United-States,<=50K -19,?,194404,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -48,Self-emp-not-inc,259412,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -38,Private,314890,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,46,United-States,<=50K -23,?,329174,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,54595,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,1980,40,United-States,<=50K -22,Private,122346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,70240,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -26,State-gov,130302,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,122037,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -33,Private,105974,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -20,Private,39234,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -45,Local-gov,203322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,177792,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,>50K -25,?,219987,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K -46,Local-gov,274200,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -69,?,168794,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -55,Private,177484,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,1672,40,United-States,<=50K -42,Private,111483,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K -34,Self-emp-not-inc,247540,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,1974,30,United-States,<=50K -65,Private,101104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,10,United-States,>50K -25,Private,109532,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,Peru,>50K -35,Private,107991,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Federal-gov,114222,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -38,Private,288158,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -33,Private,126223,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,189123,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,?,120781,Doctorate,16,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,India,<=50K -24,Private,217226,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,175665,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -68,Private,58547,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1735,48,United-States,<=50K -33,Private,504725,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3464,0,40,Mexico,<=50K -38,Self-emp-not-inc,217054,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,420691,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,142490,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -79,Self-emp-inc,183686,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -34,Private,226385,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,130369,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,1151,0,48,Germany,<=50K -58,Self-emp-not-inc,426263,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K -61,Private,74040,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,30,South,<=50K -41,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -19,Private,203319,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -28,Federal-gov,90787,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -24,Self-emp-inc,234663,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,203697,Masters,14,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -46,Private,268281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,209646,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K -26,Local-gov,288781,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -24,Private,341294,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,156266,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -80,Private,249983,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -57,Private,157271,11th,7,Divorced,Other-service,Not-in-family,Black,Male,0,0,54,United-States,<=50K -30,?,108464,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,285946,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Federal-gov,27142,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-inc,298449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -31,Private,238816,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,174732,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -43,Private,245525,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -34,Self-emp-not-inc,426431,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,?,159008,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Private,33117,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,308077,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,>50K -48,Private,107373,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,34918,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -48,Self-emp-not-inc,229328,12th,8,Widowed,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -18,?,379768,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K -22,Private,34616,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,State-gov,108542,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,141511,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,27856,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -50,Local-gov,133963,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -42,Private,66118,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,202415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-not-inc,385183,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,249727,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,191782,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K -27,Local-gov,170504,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,216563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,250038,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K -32,State-gov,217251,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -57,State-gov,388225,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,187112,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Self-emp-not-inc,308296,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,184493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,167610,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Local-gov,236415,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K -47,?,294443,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,77143,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,Germany,<=50K -37,Private,205339,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -42,Private,280410,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K -21,Private,72593,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,127314,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -40,Private,305348,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -36,Private,104089,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,264627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,288398,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Self-emp-not-inc,222450,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,66638,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,162282,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,298227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Private,173630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -57,Private,230899,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,236328,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -44,Private,170924,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -53,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,288907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4787,0,40,United-States,>50K -50,Private,102346,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,20,United-States,>50K -34,Private,159187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -46,Federal-gov,196649,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,179468,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,285408,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,28,United-States,>50K -62,Self-emp-not-inc,210064,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K -38,Private,149347,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Private,160837,11th,7,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -35,Private,162358,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,164711,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -23,Private,199336,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -46,Private,195416,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,44,United-States,>50K -44,Self-emp-not-inc,106900,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,237993,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,204389,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Female,0,0,25,Puerto-Rico,<=50K -39,Local-gov,57424,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,308647,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -63,Self-emp-not-inc,130221,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -43,Federal-gov,205675,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K -43,Private,174524,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,State-gov,103474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -62,Private,96099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,?,177906,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -19,Private,229745,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,126613,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,235924,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,233150,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,122127,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K -40,Private,198873,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,30,United-States,>50K -23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,206253,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,1617,40,United-States,<=50K -37,Private,195189,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,127610,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,Greece,<=50K -30,Self-emp-not-inc,257295,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,2258,40,South,<=50K -56,Private,360770,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Dominican-Republic,<=50K -32,Private,204374,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,233369,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-inc,49795,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,52849,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,65991,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,45,United-States,>50K -51,Local-gov,170579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -53,Private,124993,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -47,Private,235683,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,347890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -38,Self-emp-not-inc,166497,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -27,State-gov,28848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,9,United-States,<=50K -63,Private,50120,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1573,25,United-States,<=50K -26,Private,242768,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -26,Private,164938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,168387,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,98360,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Local-gov,255098,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Local-gov,218445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -50,Private,339954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,209691,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,216724,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,173535,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -40,Local-gov,96554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,67603,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -34,Private,169605,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -37,Self-emp-inc,30529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K -25,State-gov,218184,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -17,Private,72321,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K -41,Private,187431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,96062,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,107682,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K -37,Private,25864,HS-grad,9,Separated,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -55,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,35,India,<=50K -47,Private,357848,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,?,199177,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Local-gov,219276,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -18,Private,157273,10th,6,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K -21,Private,277408,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Self-emp-not-inc,233033,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -54,Private,128378,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Local-gov,175642,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K -28,Private,61487,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,89718,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,29696,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Private,102085,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,88055,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -21,Local-gov,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,40,United-States,<=50K -76,Private,125784,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,126708,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -26,Private,213383,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,431861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,286836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -42,Self-emp-not-inc,99185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,Federal-gov,419053,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,164198,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,15024,0,45,United-States,>50K -52,Private,87858,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -32,?,199244,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,112451,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,124015,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -19,Private,136866,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -53,Local-gov,197054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,27380,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -30,Private,189620,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Poland,<=50K -32,Private,246038,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Private,93717,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,45,United-States,>50K -48,Private,330470,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -73,Private,147551,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K -20,Private,203263,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -48,Private,164964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,?,158352,Masters,14,Never-married,?,Not-in-family,White,Female,8614,0,35,United-States,>50K -46,Private,184632,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,79980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -45,?,260953,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,117210,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,226668,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,United-States,<=50K -21,Private,234108,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,69927,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,16,United-States,<=50K -47,Private,102771,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K -48,Private,174525,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,Dominican-Republic,<=50K -25,Private,295108,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,25,United-States,<=50K -30,Private,264025,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,1506,0,80,United-States,<=50K -20,Private,221095,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -61,Private,160942,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K -32,Private,390157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,155752,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -68,Private,34887,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K -66,?,143417,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -65,Private,109221,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,3175,60,Puerto-Rico,<=50K -36,Private,103925,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Germany,<=50K -19,Private,216647,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,Private,264939,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -18,Self-emp-not-inc,212207,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,11,United-States,<=50K -37,Private,265038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -54,Local-gov,172991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,101016,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -39,Private,157641,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,53063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,108414,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K -42,Private,121055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,229328,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -26,Private,50053,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,<=50K -40,Private,163985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -37,Private,122889,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,Taiwan,>50K -56,Private,118993,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -53,Private,141388,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -32,Private,459465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -20,?,256504,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,286824,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -26,Private,187248,HS-grad,9,Married-civ-spouse,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,86643,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,200408,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,135304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,32,United-States,<=50K -61,Private,163393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -42,Self-emp-inc,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,118584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,229987,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K -49,Private,200198,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,276218,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -46,Private,169180,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,133973,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,364657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,154422,Some-college,10,Divorced,Sales,Own-child,Asian-Pac-Islander,Female,0,0,30,Philippines,<=50K -40,Private,240027,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K -50,State-gov,289207,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K -47,Private,127303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,120460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,128798,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -25,Local-gov,306352,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,Mexico,>50K -23,Private,180052,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -29,Self-emp-inc,218555,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,199513,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,50,United-States,<=50K -22,Private,379778,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,242912,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -31,Self-emp-not-inc,195891,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,209507,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,227065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -68,Private,211287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K -44,Private,85604,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,230246,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -38,Federal-gov,125933,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -64,?,321403,HS-grad,9,Widowed,?,Other-relative,Black,Male,0,0,40,United-States,<=50K -53,Private,214868,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Black,Female,0,2001,40,United-States,<=50K -61,Private,210464,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K -22,Private,220426,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,336643,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Local-gov,186117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -39,Private,165215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,18,United-States,>50K -62,Private,57970,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,State-gov,190385,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -59,Private,81929,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K -25,State-gov,295912,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Self-emp-not-inc,209301,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,188850,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,233107,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,33,Mexico,<=50K -38,Private,278253,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -50,Local-gov,66544,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K -17,Private,237399,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -36,Self-emp-not-inc,239415,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -61,Self-emp-not-inc,117387,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -48,Local-gov,121622,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K -53,Self-emp-not-inc,206288,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,35,Vietnam,<=50K -31,Private,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -24,Private,196332,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,226918,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,United-States,<=50K -30,Self-emp-inc,191571,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -23,Private,440456,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,State-gov,116554,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,199085,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Local-gov,152172,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Male,0,0,40,?,<=50K -34,Private,127651,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -17,Private,183110,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -63,Private,546118,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -38,Private,170861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,250630,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Local-gov,37306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -44,Local-gov,360884,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,260346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -50,Local-gov,311551,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -48,Private,145041,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Dominican-Republic,<=50K -32,Private,235124,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,Dominican-Republic,<=50K -56,Private,265518,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,158864,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -17,Private,27032,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -54,Private,133050,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,41,United-States,<=50K -23,Private,240063,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -48,Private,176026,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,233533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -34,Private,45522,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,246936,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,57423,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,168981,1st-4th,2,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -49,Private,241350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -37,Self-emp-inc,205852,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -32,Local-gov,198211,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,204682,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2174,0,40,Japan,<=50K -31,Private,169122,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,319163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,179708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,126098,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,?,175935,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,184498,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,253814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -18,?,25837,11th,7,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K -25,Private,250038,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,247025,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,44,United-States,<=50K -23,Private,181820,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,153949,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,295127,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,423770,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,<=50K -63,Private,102479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,199501,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,Jamaica,<=50K -60,Self-emp-inc,105339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -31,Private,182177,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,<=50K -45,State-gov,259087,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,45381,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -36,Private,215392,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,155408,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Local-gov,280344,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,153805,HS-grad,9,Never-married,Other-service,Unmarried,Other,Male,0,0,20,Puerto-Rico,<=50K -41,Private,125831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,60,United-States,<=50K -42,Local-gov,245307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -56,?,275943,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,Nicaragua,<=50K -47,Local-gov,263984,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Puerto-Rico,<=50K -43,Self-emp-not-inc,315971,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,35969,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -33,Private,176992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,341204,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -46,Private,87250,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,308279,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K -36,Federal-gov,112847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -43,Private,222596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -46,Private,165346,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,8,United-States,<=50K -35,Private,141896,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,206951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -34,Private,212163,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -47,Private,209460,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,47,United-States,<=50K -30,Private,147921,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -66,?,213477,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -37,Private,229647,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K -20,Private,34616,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,176360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,231865,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,<=50K -43,Private,83827,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,24,United-States,<=50K -24,Private,163053,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -23,Private,109430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,?,268127,12th,8,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,84231,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-inc,302708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,50,Japan,>50K -36,Private,102864,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,119562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3942,0,40,United-States,<=50K -36,Private,52532,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,231832,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,145005,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,21856,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,147430,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,584259,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -64,Private,192884,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,211208,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,89211,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,53893,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-inc,229116,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -23,Private,140915,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -37,Private,118681,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K -42,Private,119941,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,?,199591,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,0,0,25,?,<=50K -55,Private,67450,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K -69,Self-emp-not-inc,199829,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K -22,Private,303170,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,28,United-States,<=50K -22,Private,254293,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,694812,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,345277,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,103540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,19410,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,48,United-States,<=50K -41,Private,170685,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,46,United-States,<=50K -30,Private,110083,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,305472,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K -42,Private,47012,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,152752,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,120914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,289223,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1848,40,United-States,>50K -48,Private,355781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -26,Private,181666,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K -30,Private,180317,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,231931,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -60,Private,103344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -41,Private,173858,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -49,Private,94215,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,63861,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Local-gov,193882,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K -20,Private,304710,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -49,Federal-gov,195949,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,136077,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -52,Private,147629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -43,Private,180599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -42,Private,79036,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,190194,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,189680,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -55,Private,209476,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,159491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -41,Federal-gov,46366,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K -51,Private,280093,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,373213,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -44,Self-emp-not-inc,138471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K -81,?,89391,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,>50K -72,?,289930,Bachelors,13,Separated,?,Not-in-family,White,Female,991,0,7,United-States,<=50K -44,Private,298885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,?,266337,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,197875,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,171429,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -53,Self-emp-not-inc,101432,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Local-gov,137537,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,58115,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K -32,Self-emp-inc,195447,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,305259,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -38,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -59,Local-gov,181242,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,296045,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,38,United-States,<=50K -51,Private,95128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,113062,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -53,Local-gov,222405,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -70,Self-emp-inc,207938,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,5,United-States,<=50K -45,Self-emp-not-inc,165267,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -51,Private,138022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,97472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,235786,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,?,78529,10th,6,Separated,?,Unmarried,White,Female,0,0,12,United-States,<=50K -64,Private,137205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,269723,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,102106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Federal-gov,55636,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -46,Local-gov,367251,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -47,Private,235986,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,Cuba,<=50K -33,Self-emp-not-inc,266674,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,56,United-States,>50K -17,Private,24090,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -36,Private,257380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -31,Private,219318,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -53,Private,324568,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,107410,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,55215,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -28,Private,173483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,20,United-States,<=50K -58,Private,199278,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -50,Private,138852,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -34,Private,93699,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Private,197113,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -30,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,3103,0,55,United-States,>50K -18,Private,179597,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Private,288273,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K -17,Private,368700,11th,7,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K -43,Private,91949,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,295621,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,25,United-States,>50K -33,Private,150154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,191841,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K -18,Private,188241,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -62,Private,252134,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Cuba,<=50K -27,Private,278122,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -50,Self-emp-not-inc,174752,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,178811,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,321865,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K -58,Private,267663,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -62,Local-gov,136787,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,348152,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,155066,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,38353,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -49,Local-gov,371886,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -26,Private,212793,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,84817,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,3887,0,40,United-States,<=50K -47,Private,140644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -66,Private,313255,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -66,Local-gov,222810,Some-college,10,Divorced,Other-service,Other-relative,White,Female,7896,0,40,?,>50K -43,Self-emp-not-inc,118261,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -60,Local-gov,149281,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,137126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,192711,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,297906,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -35,Private,166193,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,203635,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -52,?,50934,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -47,Private,104068,HS-grad,9,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -24,Private,142227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Private,291789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,50,United-States,<=50K -36,Local-gov,247807,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Private,254494,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,129784,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,196029,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -19,Private,123718,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -28,Self-emp-not-inc,237466,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K -50,Private,330142,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K -30,Private,246439,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Local-gov,182380,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,228057,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,214385,Assoc-voc,11,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -53,Private,70387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4386,0,40,India,>50K -25,Private,261519,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,420351,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,220585,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,385330,7th-8th,4,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,Private,152591,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,271933,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,1741,45,United-States,<=50K -38,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -69,Private,277588,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K -35,Private,189382,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -83,Self-emp-inc,240150,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,50,United-States,>50K -54,Federal-gov,278076,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -20,Private,129240,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -40,Federal-gov,406463,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,State-gov,166851,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,13,United-States,<=50K -69,Self-emp-inc,264722,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,205822,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Private,252518,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -32,Private,235124,12th,8,Divorced,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K -32,Private,137076,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -36,Private,410034,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,87490,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K -26,Self-emp-inc,189502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -19,Private,104112,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,30,Haiti,<=50K -40,Private,118853,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -34,Self-emp-not-inc,156532,7th-8th,4,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,101709,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,2885,0,40,United-States,<=50K -32,Local-gov,194901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2057,70,United-States,<=50K -43,Private,150519,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,116531,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,153931,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,123472,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,146786,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,277144,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -68,Self-emp-inc,113718,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,1258,40,United-States,<=50K -41,Private,163174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,197163,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,50,United-States,>50K -57,Private,175942,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -84,?,368925,5th-6th,3,Widowed,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -29,Private,161097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,290763,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,244087,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -68,?,103161,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,32,United-States,<=50K -62,Local-gov,206063,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,190027,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -33,State-gov,30494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,192713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K -76,Self-emp-not-inc,117169,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,182467,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,44,United-States,<=50K -20,?,447210,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,410034,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,181196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,257128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,?,165103,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,50,United-States,>50K -21,State-gov,110946,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,43,United-States,<=50K -30,Private,77266,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,22463,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,117728,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -73,?,378922,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,20,Canada,<=50K -55,Federal-gov,212600,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,>50K -35,Private,185084,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -17,Private,171080,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,221157,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -27,?,174163,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -42,Private,147110,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,62834,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,>50K -55,Private,277034,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,140108,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,446771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,308924,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,323798,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -47,State-gov,190325,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K -34,Self-emp-not-inc,313729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -24,Private,126613,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -66,Private,302072,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,278637,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,52,United-States,<=50K -60,Self-emp-not-inc,95445,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3137,0,46,United-States,<=50K -39,Private,200598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -58,Private,205235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -54,Self-emp-inc,149650,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K -43,Private,213416,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -55,State-gov,175127,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,38,United-States,>50K -34,Self-emp-inc,174215,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4787,0,45,France,>50K -25,Private,72887,11th,7,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -45,Federal-gov,168232,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K -62,Private,147627,9th,5,Never-married,Priv-house-serv,Not-in-family,Black,Female,1055,0,22,United-States,<=50K -45,Private,83993,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,>50K -19,?,194095,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -68,?,255276,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K -24,Local-gov,134181,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,211022,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,264961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,278581,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,242619,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -54,Self-emp-not-inc,123011,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,52,United-States,>50K -46,Private,73541,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,239045,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -65,Private,171584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,212165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -45,Self-emp-not-inc,277630,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K -69,Self-emp-not-inc,187332,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K -38,Private,60355,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,State-gov,444554,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -61,Private,411652,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,106662,Bachelors,13,Separated,Sales,Not-in-family,White,Male,99999,0,55,United-States,>50K -52,Private,152234,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,Japan,>50K -22,Private,195532,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K -40,Private,56651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,340110,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -31,Private,106437,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -29,Private,118337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,88842,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -39,Private,188148,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,48,United-States,<=50K -30,Private,432565,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,Canada,>50K -60,Private,772919,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -30,Private,455995,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,?,507086,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K -26,Private,339423,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,238831,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,State-gov,224700,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Black,Male,0,0,40,United-States,<=50K -50,Private,163671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,176486,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -42,State-gov,121265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,State-gov,192779,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Male,0,2258,38,United-States,>50K -36,Private,168276,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,169631,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,394927,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,151809,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -55,Private,200992,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,359067,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,198452,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,68729,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -41,?,211873,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,1628,5,?,<=50K -35,Private,98725,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,60,United-States,<=50K -24,Private,493732,1st-4th,2,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K -33,Private,85355,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -21,Private,174907,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,548256,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -53,Federal-gov,186087,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,30682,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -55,Private,349910,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -45,Private,77085,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -39,Private,107164,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,327902,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,194698,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Local-gov,347491,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,267776,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -27,Private,181291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,Italy,<=50K -48,Private,139290,10th,6,Separated,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K -43,Federal-gov,175669,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Local-gov,255454,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,189219,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,16,United-States,<=50K -38,Federal-gov,37683,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,99999,0,57,Canada,>50K -35,Private,224512,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -22,Private,109039,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -60,?,380268,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -23,Private,340543,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -38,Local-gov,140854,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -32,Private,183356,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,149823,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -17,Self-emp-inc,413557,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,233312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Poland,<=50K -17,Private,310885,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,36,Mexico,<=50K -70,?,210722,Prof-school,15,Divorced,?,Not-in-family,White,Male,2538,0,45,United-States,<=50K -50,Private,192982,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K -63,Local-gov,109849,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,21,United-States,<=50K -53,Self-emp-inc,152810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K -33,Private,164748,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,97723,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,126840,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,130749,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -29,Private,100405,10th,6,Married-civ-spouse,Farming-fishing,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -21,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,227321,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -53,State-gov,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,35,United-States,>50K -66,Self-emp-not-inc,212185,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -67,Private,35015,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -42,Private,74949,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,231826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,272017,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,175495,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K -57,Private,257046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,192869,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -37,Private,107737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -40,Private,400061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,>50K -24,Private,164529,12th,8,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -54,State-gov,44172,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -21,Private,240517,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,70,United-States,<=50K -40,Private,145441,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K -60,Private,194980,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -17,Private,154078,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -40,Private,150471,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,350387,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,India,>50K -38,Private,353263,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,Italy,>50K -46,Private,99699,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,0,1876,40,United-States,<=50K -45,Private,117310,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K -54,?,180211,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K -40,Private,204046,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,154993,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K -62,Private,270092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,158688,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-inc,180419,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,223212,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -30,?,203834,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K -47,Private,202856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -49,State-gov,231961,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,>50K -21,Private,479296,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Private,279323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,171524,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K -51,Private,40230,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K -42,Local-gov,126319,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -40,Private,111483,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,185145,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K -45,Private,382532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,Private,166740,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,329759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,173483,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -55,Self-emp-not-inc,422249,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,66304,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -49,Private,296849,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,152171,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -27,Private,302422,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -44,State-gov,128586,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,?,189098,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -50,Self-emp-not-inc,163948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -60,Federal-gov,67320,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,126954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,275771,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -33,Private,107142,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,72055,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,27802,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -33,Private,79923,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,222504,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -23,Private,39615,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -37,Private,34378,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2580,0,60,United-States,<=50K -38,Private,304651,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,Private,109414,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,20,India,<=50K -38,Private,216845,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,42,United-States,<=50K -71,Self-emp-inc,146365,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,24,United-States,<=50K -44,Self-emp-not-inc,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -64,Private,631947,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,126569,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,110970,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -31,Self-emp-not-inc,357145,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K -61,Private,206339,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,72953,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,140590,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,33,United-States,<=50K -30,Private,313038,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Local-gov,194276,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,33310,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,299507,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Local-gov,215618,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,80,United-States,>50K -50,Local-gov,117791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,160173,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -41,State-gov,124520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -68,?,170182,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,State-gov,118447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -31,Private,156464,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,204373,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,280169,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,301614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,112212,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K -48,Self-emp-not-inc,26502,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,146786,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,114828,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K -55,Private,28735,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -36,Local-gov,51424,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,148890,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -35,Private,214896,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -50,Self-emp-not-inc,225772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -17,?,256173,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,60783,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,133503,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,265266,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -25,Private,82560,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K -31,Local-gov,80058,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,64,United-States,<=50K -56,Private,147055,9th,5,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,134890,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,503012,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -45,Private,217953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -42,Private,188561,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,271933,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,218729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -45,Self-emp-not-inc,242184,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -19,Private,275889,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K -21,Private,280081,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -65,Private,71075,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,State-gov,19395,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -48,Private,186539,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,139338,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -27,Private,201872,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,215912,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -57,Private,317847,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,2824,50,United-States,>50K -18,Private,257980,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,62865,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -26,Private,150361,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,108435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Private,142555,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,42,United-States,<=50K -50,Self-emp-not-inc,44368,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,El-Salvador,>50K -24,Private,209417,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K -37,Private,206951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,361721,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -40,Private,179508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,629900,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -61,Local-gov,101265,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1471,0,35,United-States,<=50K -27,State-gov,212232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -70,Private,573446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1455,0,40,United-States,<=50K -45,Private,88265,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,118693,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,97508,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -44,Private,326232,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Local-gov,206002,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -51,State-gov,71691,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -23,Private,152189,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Local-gov,197822,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,168956,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,183902,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,>50K -48,Private,181758,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,32059,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -76,Private,204113,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Female,7896,0,18,United-States,<=50K -64,Self-emp-not-inc,234192,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -26,?,375313,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -52,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,72,United-States,>50K -47,State-gov,207120,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -37,State-gov,241633,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,45,United-States,>50K -31,Private,156493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,342989,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Local-gov,172270,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,157747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,397317,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -43,Private,69758,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -27,Private,215873,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -49,Local-gov,452402,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,7688,0,35,United-States,>50K -17,Private,95446,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -53,Private,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -29,State-gov,303446,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,Nicaragua,<=50K -57,Private,329792,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,75,United-States,<=50K -44,State-gov,119567,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,60070,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -44,Private,283174,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -18,Private,283637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,165614,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -55,State-gov,157639,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -45,Private,202746,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,219967,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,215150,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,236272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -44,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,48,United-States,>50K -34,Private,178951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -20,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,43,United-States,<=50K -32,Private,188108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,188505,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -47,Federal-gov,197038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,57145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,50341,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -35,Self-emp-not-inc,135020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -46,?,81136,Assoc-voc,11,Divorced,?,Unmarried,White,Male,0,0,30,United-States,<=50K -25,Federal-gov,339956,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -46,Local-gov,344172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,49,United-States,>50K -61,Private,355645,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -52,Federal-gov,29623,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,334105,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,269733,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,267052,10th,6,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,State-gov,447579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K -48,Private,174829,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,347446,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,29213,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,157747,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -54,Private,340476,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -49,Private,84298,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,171356,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -26,Private,108542,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -47,Private,266281,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,6849,0,40,United-States,<=50K -44,Private,82601,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,115700,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,35448,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -34,Private,35595,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,?,120074,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -33,Private,35309,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -35,Private,186886,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -36,Private,153078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,>50K -40,Private,228535,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,36,United-States,>50K -25,Private,181896,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,173851,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,?,79990,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,177675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -44,Private,408717,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,50,United-States,<=50K -61,Private,162432,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,102147,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,106541,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,126675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -24,Private,442274,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,298449,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,43,United-States,<=50K -28,State-gov,130620,11th,7,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K -40,Local-gov,319271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Private,164427,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -24,Private,308673,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,196385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -44,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Private,431513,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -36,Private,261241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -40,Private,96129,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -29,Private,136017,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -28,Private,269786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,70884,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,344621,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,210736,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -56,Private,147653,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -32,Private,81528,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K -42,State-gov,24264,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,38,United-States,<=50K -41,Private,198965,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,150079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -39,Private,108540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,287831,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,>50K -22,Private,162667,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,Portugal,<=50K -21,Private,221955,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -83,Private,192305,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -42,Private,109912,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K -24,Private,373628,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,1504,40,United-States,<=50K -27,Private,275110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,80,United-States,>50K -23,Private,120046,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,197702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,296085,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -43,Self-emp-inc,188436,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K -37,Private,82521,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,46,United-States,<=50K -30,Self-emp-inc,185384,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -28,Private,398918,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,34437,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,49156,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -83,Self-emp-not-inc,213866,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,8,United-States,<=50K -36,Private,289190,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,441591,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,116360,Assoc-voc,11,Divorced,Tech-support,Other-relative,Black,Female,0,0,10,United-States,<=50K -29,Private,54932,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,81965,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -50,Private,191062,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,118792,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -34,Private,258425,Assoc-voc,11,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,2597,0,45,United-States,<=50K -19,Private,299050,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -33,Federal-gov,319560,Assoc-voc,11,Divorced,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,>50K -66,State-gov,198363,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K -51,Private,118793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -41,Self-emp-inc,67671,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Canada,>50K -24,Local-gov,335439,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -30,Private,446894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -29,Private,84560,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,261198,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Local-gov,198728,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,120475,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,373432,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -44,Local-gov,101689,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,120914,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2961,0,40,United-States,<=50K -46,Private,219967,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -43,Private,301007,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,267594,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,163776,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -29,Private,126822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -45,Private,50163,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -65,Private,90377,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,6767,0,60,United-States,<=50K -53,Private,164299,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,65,United-States,>50K -27,Federal-gov,257124,Bachelors,13,Never-married,Transport-moving,Other-relative,White,Male,0,0,35,United-States,<=50K -60,Private,121832,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,253890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,168682,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K -63,Private,117473,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K -28,Private,189241,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,83517,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,210610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,31,Cuba,>50K -49,State-gov,207120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -28,?,37215,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -41,Private,157025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -51,Private,276214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,267399,12th,8,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -40,Private,316820,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,<=50K -23,?,192028,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -23,Private,185948,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -69,Self-emp-inc,182451,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,334032,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,199698,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -36,Self-emp-not-inc,135416,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K -49,State-gov,126754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -28,Private,113922,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K -41,Private,197372,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -90,Private,197613,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -17,Private,175024,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,18,United-States,<=50K -28,Private,196690,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,201418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,208640,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,?,20057,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K -38,Private,105803,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,211020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -43,Private,346189,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,279129,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -57,Private,110820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,159187,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,455995,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -17,Private,227960,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,Puerto-Rico,<=50K -23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -31,Private,437825,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,227968,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,Haiti,>50K -29,Private,173113,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,216129,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1408,50,United-States,<=50K -60,State-gov,358893,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,2339,40,United-States,<=50K -23,Local-gov,237498,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -28,Private,114158,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -50,Private,134247,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -27,Private,165412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,406978,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,119272,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,102771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -58,Self-emp-inc,314482,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,102607,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -52,?,133336,10th,6,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -25,Private,114345,9th,5,Never-married,Craft-repair,Unmarried,White,Male,914,0,40,United-States,<=50K -79,?,142370,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -32,Private,324386,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,205004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,26,United-States,<=50K -71,Self-emp-not-inc,172046,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,182540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,131827,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,346605,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -24,Private,174413,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,220115,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,43479,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -40,Private,346847,Assoc-voc,11,Separated,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,200117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,50,?,>50K -50,Self-emp-inc,251240,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,152307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -17,Private,262031,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -25,Private,344991,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,71592,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,17,United-States,<=50K -31,Private,141410,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,54260,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,254351,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -32,Self-emp-not-inc,34572,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -30,Self-emp-inc,132601,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,212465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,409282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -38,Private,191137,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,359155,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -57,Private,322691,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,129684,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,5455,0,50,United-States,<=50K -31,Private,25216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -51,?,295538,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,272182,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -73,Local-gov,249043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K -32,State-gov,189838,Some-college,10,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,214008,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,163047,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,?,256211,Assoc-voc,11,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2129,40,Poland,<=50K -40,Private,274158,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,337778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Yugoslavia,>50K -27,Private,491421,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -23,Private,180339,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,428299,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,180010,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,35032,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -67,Private,174603,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Private,33831,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,60269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -53,Federal-gov,225339,Some-college,10,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,269246,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,216469,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,50,United-States,<=50K -58,Private,119751,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K -53,Private,72257,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -60,Private,119684,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -34,Private,236318,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -62,Private,190384,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -62,Private,176965,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,197577,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,176027,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,101890,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,76482,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,361493,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,40,United-States,<=50K -63,Federal-gov,124244,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,35917,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,195767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,96099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,377374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Japan,<=50K -59,Private,249814,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -23,Private,237811,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Trinadad&Tobago,<=50K -30,Private,241844,HS-grad,9,Separated,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,135339,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,241306,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,101509,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,32,United-States,<=50K -34,Private,381153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,34862,Bachelors,13,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,1564,60,United-States,>50K -20,Private,138107,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K -20,Private,132320,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,361888,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -67,Private,336163,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K -34,Federal-gov,408813,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -61,Private,161472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,216867,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K -29,Private,108594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,119493,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,161141,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,49687,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,1980,40,United-States,<=50K -52,Self-emp-not-inc,240013,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -51,Private,120270,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,209900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -40,Private,109217,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -42,Private,178074,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,28473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,197552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,302604,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Private,88215,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K -51,Self-emp-not-inc,136322,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,40,United-States,<=50K -23,Private,41763,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -33,Self-emp-not-inc,192256,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,239865,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -27,Self-emp-not-inc,37302,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,70,United-States,>50K -53,Private,174102,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,182509,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Private,252662,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,202642,Bachelors,13,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -39,Private,106964,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,55,United-States,>50K -19,Private,69151,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -37,Self-emp-inc,342084,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -62,Private,266624,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K -70,Private,184176,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -32,Private,176253,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,196373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,377869,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4064,0,25,United-States,<=50K -26,Private,182380,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,227310,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,284629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,118901,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Private,266022,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -42,State-gov,119008,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,1974,40,United-States,<=50K -53,Federal-gov,39643,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K -27,Private,65663,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,456618,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K -29,Private,247507,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K -41,Private,384508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,607848,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -48,Private,103648,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,41,United-States,<=50K -33,Private,172498,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,State-gov,100818,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -43,Local-gov,31621,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -25,Private,288440,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,204209,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -31,State-gov,93589,HS-grad,9,Divorced,Protective-serv,Own-child,Other,Male,0,0,40,United-States,<=50K -54,Private,141663,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,253596,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K -27,Private,446947,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,55,United-States,<=50K -44,Local-gov,177937,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -57,Self-emp-inc,282913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K -52,Self-emp-not-inc,190333,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -50,Self-emp-inc,123429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K -33,Self-emp-inc,137421,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,45,South,<=50K -48,Private,50880,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -55,Private,353881,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,77572,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,176716,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,188069,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,55,?,>50K -21,Private,225724,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -42,Local-gov,55363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -18,?,240183,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -38,Private,318610,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,402016,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,52,United-States,>50K -23,Private,32732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -42,Self-emp-not-inc,119207,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -37,Self-emp-inc,347189,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -32,Private,141410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,375482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,England,<=50K -47,Private,233511,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,140985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,30,United-States,>50K -26,Self-emp-inc,177951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K -32,State-gov,147215,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -26,Private,181655,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2377,45,United-States,<=50K -76,?,312500,5th-6th,3,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,179481,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Local-gov,133336,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -22,?,154235,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,35,United-States,<=50K -59,Local-gov,303455,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,4787,0,60,United-States,>50K -39,Self-emp-not-inc,142573,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -21,Private,198996,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,150361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,163826,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -64,Self-emp-not-inc,198466,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,70,United-States,<=50K -70,Self-emp-inc,247383,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,128715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Private,144808,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,132326,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -40,State-gov,174283,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -29,Private,389713,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,97212,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,320744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,50,United-States,<=50K -64,Private,116084,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,40,United-States,<=50K -18,?,167875,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -51,Private,152652,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -59,Self-emp-inc,223215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -36,Local-gov,110791,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -78,?,292019,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,202480,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,145636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K -38,Private,323269,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,358373,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K -73,?,89852,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K -33,Private,119033,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,?,137578,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -20,Private,305446,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -42,Private,121352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,?,>50K -50,Private,313546,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,139906,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,81,United-States,<=50K -22,?,148955,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K -19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -31,Private,262848,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -19,Private,266255,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -26,Local-gov,219760,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K -36,Self-emp-not-inc,321274,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,106151,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,262570,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,157249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1977,50,United-States,>50K -32,Private,73498,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,227282,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,194901,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,333677,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2463,0,35,United-States,<=50K -43,Federal-gov,77370,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,128876,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -81,Self-emp-not-inc,193237,1st-4th,2,Widowed,Sales,Other-relative,White,Male,0,0,45,Mexico,<=50K -21,Private,139722,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -31,Self-emp-not-inc,145714,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -46,State-gov,149337,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -70,Local-gov,127463,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,241885,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,281030,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,334409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -37,Local-gov,289238,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,116375,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,159269,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,Yugoslavia,<=50K -43,Private,173316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,200453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -40,Private,197033,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -75,Self-emp-not-inc,208426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,194515,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K -52,Self-emp-not-inc,105010,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K -59,Local-gov,286967,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,334273,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,154713,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,180783,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -45,Private,165484,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -46,Private,182715,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,218329,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,166549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -53,Local-gov,155314,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -46,Private,104632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -64,State-gov,211222,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,183011,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,Haiti,<=50K -32,Private,226696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -39,Private,409189,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -64,?,267198,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -54,Private,163894,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -52,Private,35305,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K -19,Private,169853,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K -63,Private,196725,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -29,Self-emp-not-inc,128516,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -19,?,138153,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -61,?,71467,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3103,0,40,United-States,>50K -26,?,176967,11th,7,Never-married,?,Not-in-family,White,Female,0,0,65,United-States,<=50K -28,Private,179191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -56,?,192325,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Private,79372,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,124733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -60,Private,224644,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,26781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -22,Private,514033,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,80,United-States,<=50K -33,Private,309350,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,340917,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,222020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,280088,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,289605,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,1617,35,United-States,<=50K -49,Self-emp-not-inc,173411,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Local-gov,146181,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,272618,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -41,Self-emp-not-inc,126094,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -39,Private,80638,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,United-States,>50K -29,Private,204862,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -56,Local-gov,370045,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,266489,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -71,State-gov,26109,Prof-school,15,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K -63,Private,440607,Preschool,1,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,30,Mexico,<=50K -28,Private,188171,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -28,Private,66473,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,30111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -32,Private,229636,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,60,United-States,<=50K -18,?,179484,12th,8,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K -21,Private,377931,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,48,United-States,<=50K -28,Federal-gov,366533,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,99146,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,143069,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,156967,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,110677,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -52,Private,172511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -48,Private,83444,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -36,Private,192939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,202822,Masters,14,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,?,<=50K -50,Self-emp-not-inc,145419,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -50,Private,155574,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -34,Private,34080,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K -30,Private,187203,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,403467,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,40,United-States,>50K -38,State-gov,110426,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,?,>50K -38,Private,100079,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,60,China,>50K -17,Private,36801,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -46,Self-emp-inc,256909,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3325,0,45,United-States,<=50K -46,Local-gov,377622,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,342946,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,38,United-States,<=50K -54,Private,146310,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,230796,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,252210,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -62,Private,192515,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,27049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,205950,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,285570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,238397,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,24,United-States,<=50K -20,?,150084,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -21,?,41356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -38,Private,238721,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,?,186809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -62,Local-gov,291175,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -23,Private,435835,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1669,55,United-States,<=50K -57,Private,142924,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,?,87369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Local-gov,162187,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -33,Private,53042,12th,8,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,136651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -59,?,168079,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K -34,Private,303177,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Mexico,<=50K -21,Private,182823,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -59,Self-emp-not-inc,309124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -53,Private,403121,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -24,Private,175586,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Local-gov,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,348460,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,273049,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -46,State-gov,248895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -64,Private,113061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,147110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,?,153131,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,192793,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,123007,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,2001,30,United-States,<=50K -38,Private,89559,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K -40,Private,115161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,246439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,State-gov,29696,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,State-gov,157990,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,146398,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,208407,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,30,United-States,<=50K -17,Private,146329,12th,8,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K -43,Private,197609,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -61,Private,81132,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -21,Private,116657,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,234259,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -30,State-gov,158291,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,121718,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -36,Private,210945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,94342,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Local-gov,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Federal-gov,320071,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,?,37332,HS-grad,9,Never-married,?,Own-child,White,Female,1055,0,12,United-States,<=50K -51,?,189762,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,18,United-States,<=50K -54,Local-gov,196307,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,261059,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -67,Self-emp-inc,127605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,Italy,>50K -67,Private,70737,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,32,United-States,<=50K -45,Private,252079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,208180,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,405644,1st-4th,2,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,77,Mexico,<=50K -31,Federal-gov,158847,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -33,Local-gov,222654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,?,<=50K -30,Private,94235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,83103,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,67,United-States,<=50K -31,Private,414525,12th,8,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,60,United-States,<=50K -58,Private,49893,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,424494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,274797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -64,?,257790,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K -33,Private,342458,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,182332,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Private,61603,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K -24,?,267955,9th,5,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,249935,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -29,Private,350162,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -34,Private,122116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,313830,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,365871,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,Mexico,<=50K -45,State-gov,67544,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,186151,HS-grad,9,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,133729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K -28,Private,68393,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K -35,Private,98776,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,267404,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,57635,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K -43,Private,326701,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -26,Private,178140,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -76,Self-emp-inc,99328,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,6514,0,40,United-States,>50K -21,Private,349041,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,222020,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K -24,Private,395297,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,Japan,<=50K -46,Private,28497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -34,Private,167832,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,231689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,State-gov,283635,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,154374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,196678,Preschool,1,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -62,Self-emp-inc,236096,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,59474,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,75012,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -30,Private,123178,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,105838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,State-gov,456110,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,52,United-States,<=50K -29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Self-emp-not-inc,228786,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -77,?,174887,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -18,Self-emp-not-inc,194091,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -52,Private,178983,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -65,Self-emp-not-inc,538099,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -32,Self-emp-not-inc,319280,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K -21,Private,225541,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,?,200681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,195750,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K -39,State-gov,126336,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,184277,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,>50K -18,Private,210574,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Self-emp-not-inc,176862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,117381,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,62,England,<=50K -24,Private,279472,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,48,United-States,>50K -35,Private,109204,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,117605,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -52,Private,138944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,35865,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,247156,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,186410,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -18,?,256191,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -28,Private,108706,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -46,Federal-gov,341762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -23,Local-gov,55890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,165822,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Local-gov,230684,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1579,40,United-States,<=50K -33,Private,220860,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,?,201766,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -42,Private,184857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -47,Self-emp-inc,337050,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -61,Private,156852,Assoc-voc,11,Widowed,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K -45,Local-gov,167159,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -42,Private,152889,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,127768,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,223669,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,165315,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -30,Local-gov,325385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,232855,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,?,113301,11th,7,Separated,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -59,Private,147989,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -38,Private,155222,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,28,United-States,<=50K -29,Private,128777,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K -21,Local-gov,32639,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -22,Private,412316,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K -34,Private,609789,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,?,<=50K -24,Private,130741,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,110371,12th,8,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -47,Private,131002,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Self-emp-not-inc,24106,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -36,Local-gov,101481,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,?,161664,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K -27,Private,132686,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -37,Private,259284,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K -42,Local-gov,209752,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -40,Private,106501,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,50,United-States,<=50K -29,Private,138190,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,1138,40,United-States,<=50K -40,Private,173321,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K -49,Private,117095,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,173243,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K -48,Private,224870,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Other,Female,0,0,38,Ecuador,<=50K -35,Private,101073,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -34,Private,263307,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,45,?,<=50K -63,Private,188914,HS-grad,9,Widowed,Machine-op-inspct,Other-relative,Black,Female,0,0,40,Haiti,<=50K -47,Local-gov,321851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,118503,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,31286,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,331395,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,84,Portugal,<=50K -40,State-gov,132125,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,239824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,448626,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -25,?,180246,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,1408,40,United-States,<=50K -20,Self-emp-inc,245611,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,99373,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,61898,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -47,Private,59380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -40,State-gov,199381,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,37,United-States,>50K -29,Private,423158,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,265807,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,55,United-States,<=50K -56,Private,245215,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Self-emp-not-inc,201138,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Private,203642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -20,Never-worked,273905,HS-grad,9,Married-spouse-absent,?,Other-relative,White,Male,0,0,35,United-States,<=50K -40,Private,145439,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,4064,0,40,Mexico,<=50K -39,Local-gov,327435,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,226441,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,104045,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -35,Private,189382,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,?,330132,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -50,Private,92969,1st-4th,2,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,136413,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -43,State-gov,143939,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K -50,Private,181585,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,67198,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -17,Private,176467,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -83,?,251951,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -63,Local-gov,199275,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,38,United-States,>50K -23,Private,410439,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -54,Private,175262,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,99131,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,233150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,?,223745,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Federal-gov,89083,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,168675,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -44,Private,288433,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -53,Private,47396,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,176536,Some-college,10,Separated,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,42,United-States,<=50K -30,Private,35644,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,153082,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -31,Private,300497,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,Private,176131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,159179,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -27,?,180553,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -38,Self-emp-inc,93225,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,149809,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -37,Federal-gov,173192,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,32798,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K -35,Private,81232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -23,Private,352207,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,194820,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K -25,Private,326370,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K -28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,185764,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,188941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3908,0,40,United-States,<=50K -31,Private,326104,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,191807,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K -38,Private,103474,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -59,Private,113838,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K -57,Private,124318,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -32,Private,211699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K -32,Self-emp-not-inc,37232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -46,Private,243743,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,377622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,103651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,217467,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,298659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,Mexico,<=50K -22,Private,234641,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,229731,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,El-Salvador,<=50K -55,Private,84774,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,30,United-States,<=50K -25,Private,67151,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Private,144949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,224361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,State-gov,39236,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -46,Private,180505,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -69,Private,197080,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,9386,0,60,United-States,>50K -26,Private,247025,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,320811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,192053,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -42,Private,185057,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,Scotland,<=50K -48,Private,119471,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -32,Private,188557,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,281315,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Self-emp-inc,134854,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,122612,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,50,Philippines,>50K -26,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -48,Private,161187,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,40,United-States,<=50K -64,Local-gov,172768,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -64,?,208862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -20,Federal-gov,225515,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -43,Private,156745,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,114251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,202956,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,202435,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,State-gov,109193,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,48343,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,27,?,<=50K -35,Private,80479,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,203988,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,90547,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,23,United-States,<=50K -43,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,131934,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -25,Local-gov,334267,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,162632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,2,United-States,<=50K -48,Self-emp-not-inc,397466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,351772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -50,State-gov,159219,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K -58,Private,137547,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -32,Local-gov,100135,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -36,Private,301614,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K -32,Private,185480,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,102318,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -47,Private,302711,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,109952,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -62,?,55621,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,>50K -23,Private,158996,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -60,Local-gov,48788,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,5455,0,55,United-States,<=50K -54,Private,138179,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,200471,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -75,Local-gov,73433,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2467,40,Canada,<=50K -41,Private,114157,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,207246,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,75,United-States,<=50K -36,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,91103,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,>50K -27,Private,394927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -42,Private,37869,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,United-States,<=50K -46,Federal-gov,171850,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -53,Private,355802,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -23,Private,210443,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,376416,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,269221,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,165219,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -45,Private,240841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K -37,Private,258289,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,151724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,190482,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,158662,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -37,Private,243409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,134045,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,71269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-not-inc,351161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -43,Private,195258,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Private,352080,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -71,?,108390,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,20,United-States,<=50K -63,?,528618,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,177368,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K -31,Private,243678,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,State-gov,98989,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,144371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,>50K -70,Self-emp-not-inc,36311,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K -21,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -58,Private,142326,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Local-gov,223433,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K -52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -17,Private,111332,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,394191,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -54,Private,99185,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,171234,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K -44,Private,214546,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -47,Private,106207,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -65,?,193365,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,198183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,218100,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -47,Federal-gov,102771,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,238899,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K -36,Private,306646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -68,Private,99849,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,28,United-States,<=50K -50,Private,273536,7th-8th,4,Married-civ-spouse,Sales,Husband,Other,Male,0,0,49,Dominican-Republic,<=50K -47,Private,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,Private,167396,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K -28,Private,116298,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,State-gov,142766,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,218164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K -56,Self-emp-inc,267763,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -56,Federal-gov,208791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -37,Private,105021,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -70,Private,187891,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,147430,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,267879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,50,United-States,>50K -30,Private,205204,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,317360,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Private,217718,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,Haiti,<=50K -46,Private,72896,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,352188,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,48010,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,232650,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,47857,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,State-gov,323726,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,201600,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -39,Private,188540,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,266803,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -46,Local-gov,141058,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -19,?,143867,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,156996,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,55,?,>50K -26,Private,290286,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,State-gov,194773,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Germany,<=50K -36,Local-gov,126569,Bachelors,13,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,State-gov,392167,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,195488,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -60,Private,200047,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,187830,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,35,United-States,>50K -22,Private,126613,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,France,<=50K -55,Private,118057,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,51,United-States,<=50K -36,Private,99233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -55,Private,160631,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,>50K -57,Private,88879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,220789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -66,Private,344436,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,8,United-States,<=50K -20,?,197583,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -62,Private,235997,12th,8,Widowed,Adm-clerical,Unmarried,White,Female,0,0,37,Mexico,<=50K -30,Private,212237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K -36,Private,256636,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,111499,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,99,United-States,>50K -27,Private,161087,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -32,Private,255004,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,192835,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -35,State-gov,43712,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,166062,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -49,Private,274200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,United-States,<=50K -21,Private,51985,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,262062,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,343789,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,55,United-States,<=50K -18,Private,186954,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -48,Local-gov,319079,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -38,Private,254439,10th,6,Widowed,Transport-moving,Unmarried,Black,Male,114,0,40,United-States,<=50K -59,Private,113959,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -42,State-gov,102343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,72,India,>50K -52,Private,110977,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -68,Private,171933,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,189344,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -43,Private,57322,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,193666,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,55,United-States,>50K -55,Private,158702,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2339,45,?,<=50K -47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -37,Private,86308,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -34,Private,100734,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,134737,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K -17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,?,280699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,189607,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K -31,Private,594187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,183486,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,>50K -54,Self-emp-not-inc,200960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Private,344480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -56,State-gov,83696,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,38,?,<=50K -32,Private,160362,Some-college,10,Divorced,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -38,Private,218188,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -22,Private,51262,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,363219,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K -39,Local-gov,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -48,Private,248164,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,>50K -21,Private,202214,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -41,Federal-gov,19914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -26,Private,132661,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,5013,0,40,United-States,<=50K -51,Private,123429,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,341368,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,159589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -38,Federal-gov,99280,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -24,Private,86745,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K -28,Private,177955,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -65,Private,196174,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,28,United-States,<=50K -24,Self-emp-not-inc,188274,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Private,271571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -40,Federal-gov,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -30,Private,182771,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,15,China,<=50K -27,Private,213921,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Mexico,<=50K -19,Self-emp-not-inc,100999,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -68,Private,192829,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -59,Private,70720,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K -51,Self-emp-not-inc,127149,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -45,Private,33794,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,191935,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -42,?,338281,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,Iran,<=50K -21,Private,363192,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Local-gov,147510,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,248313,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,362873,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,El-Salvador,<=50K -60,Private,169408,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -23,Private,44793,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Local-gov,115488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -73,Private,333676,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,211601,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -45,Local-gov,185588,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,183594,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Private,136137,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K -24,Private,168997,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,148182,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,162028,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K -24,Private,195808,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,345122,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,50,United-States,>50K -25,Self-emp-not-inc,60828,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,50,United-States,<=50K -34,Private,208785,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -27,Private,123984,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -26,Private,191765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Scotland,<=50K -21,Private,219137,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -50,Private,211116,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,176602,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -65,?,190454,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,29,United-States,<=50K -40,Private,43546,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K -70,Private,135601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K -51,Private,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,State-gov,196827,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K -26,Private,184120,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,272778,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -32,Private,316769,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -54,Private,53833,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,34996,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,83451,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -49,Private,236586,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Private,175262,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Mexico,<=50K -42,Private,314369,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K -33,Private,208855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -50,Private,237868,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -40,Private,171424,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,97789,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -23,Private,48988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,177791,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,326886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,102476,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,149455,Some-college,10,Separated,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Local-gov,202467,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -29,Private,107458,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,264527,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -43,Private,206833,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,45,United-States,<=50K -67,Private,142097,9th,5,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,6,United-States,<=50K -53,Private,102615,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,Canada,<=50K -42,Private,203554,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -35,Private,259727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -33,Self-emp-not-inc,24504,HS-grad,9,Separated,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -64,Private,114994,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K -35,Private,335704,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,243442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,33983,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,>50K -47,Federal-gov,142581,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -32,Private,207400,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -42,Private,154374,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K -30,Private,41493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K -27,Self-emp-not-inc,207948,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,188048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Local-gov,83671,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,35945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,67433,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,299635,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K -31,Private,155781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,190889,Masters,14,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,?,<=50K -57,Private,211804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -54,Private,156877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,<=50K -46,Private,93557,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,203463,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,268234,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,99830,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -19,Private,70982,Assoc-voc,11,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K -57,Private,157974,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K -46,Self-emp-not-inc,225456,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,124052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,145098,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,239632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Local-gov,323006,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -24,Private,95552,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,169982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -27,Private,50818,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,269548,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,Mexico,<=50K -59,Self-emp-inc,52822,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,30447,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,197240,12th,8,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -21,Private,34616,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -17,Private,134768,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,179627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,110230,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,5,United-States,<=50K -33,Federal-gov,193246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -29,Private,130856,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,186808,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,330571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -36,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,152176,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,39,United-States,<=50K -23,Private,47218,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,175431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K -57,Private,180920,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -53,Private,449376,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,249208,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -66,Local-gov,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -71,Private,169114,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,1429,40,United-States,<=50K -19,Federal-gov,30559,HS-grad,9,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,131650,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,180060,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,2354,0,40,United-States,<=50K -26,Federal-gov,85482,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Private,59660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -32,Private,344129,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,164170,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K -74,Self-emp-not-inc,168951,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,14,United-States,<=50K -18,Private,407436,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -29,Local-gov,107411,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -36,Local-gov,103886,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,66473,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,379798,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,264351,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -46,Private,185870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -50,Self-emp-not-inc,57758,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -42,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K -45,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -17,Private,355559,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,18,United-States,<=50K -22,Private,24896,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,30,Germany,<=50K -50,Private,166220,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,3942,0,40,United-States,<=50K -41,Private,174196,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -32,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -23,Local-gov,145112,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K -24,Private,182342,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Local-gov,155118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K -31,Private,189759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,191856,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K -41,Private,182108,Doctorate,16,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K -24,Private,284317,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -26,State-gov,152457,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,236676,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -18,Local-gov,243240,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -54,State-gov,138852,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,162572,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,270436,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -58,Local-gov,237879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K -25,Private,172581,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,83046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,203182,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K -53,Local-gov,202420,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -53,Local-gov,196395,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -20,?,301408,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K -62,Private,162825,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -50,State-gov,143822,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -31,Private,243165,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,436770,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,115040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -65,Private,193216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,40,United-States,>50K -33,Private,233149,12th,8,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,175360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -21,?,207988,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,35,United-States,<=50K -31,Private,197252,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -17,Private,202344,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -22,Private,378104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,48102,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,>50K -28,Private,227778,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -39,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K -18,Private,120243,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -77,Private,344425,9th,5,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,United-States,<=50K -64,Self-emp-not-inc,30664,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -17,Private,117477,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,72443,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,113749,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,141707,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,52566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,381789,12th,8,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -51,Private,332489,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Germany,>50K -35,Private,63921,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,36425,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,119386,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -61,Local-gov,77072,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Self-emp-not-inc,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,Germany,<=50K -59,Private,113203,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,174575,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,228724,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,108470,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,17,United-States,<=50K -55,Private,173832,Masters,14,Divorced,Sales,Not-in-family,White,Male,10520,0,40,United-States,>50K -44,Private,151089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -18,Private,298860,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,33386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,20,United-States,<=50K -37,Private,361888,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -47,Private,168195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,60783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -45,Private,106113,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,98155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,177437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -63,Self-emp-not-inc,147140,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -31,Private,62374,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -48,Local-gov,118972,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,183279,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -50,Private,24790,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,350759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,343925,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -20,Self-emp-not-inc,157145,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,2258,10,United-States,<=50K -27,Private,176683,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -49,Self-emp-not-inc,175958,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -76,Local-gov,329355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K -44,Private,299197,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,State-gov,86805,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,39,United-States,>50K -54,Federal-gov,332243,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,456618,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -54,Private,147863,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,5013,0,40,Vietnam,<=50K -33,Private,189265,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,109204,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,130684,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -63,Self-emp-not-inc,179981,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -54,Private,87205,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Federal-gov,143547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,318912,Bachelors,13,Never-married,Other-service,Own-child,Black,Male,0,0,55,United-States,<=50K -35,Federal-gov,103214,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,>50K -52,Private,102444,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,154728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,82622,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,164529,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -54,Private,299324,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -21,Private,249271,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,185127,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,215251,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -55,State-gov,153451,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1887,40,United-States,>50K -30,Private,74966,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,<=50K -30,Self-emp-not-inc,188798,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,173858,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -55,Private,26716,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -36,Private,220696,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,226902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -62,Private,360032,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,271792,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,?,130856,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,390997,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,50,Mexico,<=50K -46,Private,79874,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K -46,Private,216414,Assoc-voc,11,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,119429,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,State-gov,89508,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Federal-gov,63526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -43,Private,33310,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,135840,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -60,Private,201965,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K -27,Local-gov,125442,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,87469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,141165,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,182117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K -28,Private,150309,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -50,Private,200325,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Self-emp-inc,146477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Private,156148,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,31782,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,266635,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -27,Private,240809,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,56,United-States,<=50K -24,Private,274398,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -41,State-gov,197558,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,71269,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,99872,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K -43,Private,228456,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,272432,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,29616,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -52,Private,71768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,70282,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,192039,Assoc-acdm,12,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,State-gov,121586,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,257588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,552529,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,204375,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -55,Self-emp-inc,222615,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,30433,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,0,72,United-States,<=50K -35,Private,186815,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,203488,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -38,Self-emp-not-inc,245372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,50,United-States,<=50K -66,?,186032,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,2964,0,30,United-States,<=50K -23,Private,198996,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,172664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -57,Private,103809,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,205977,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -53,Federal-gov,59664,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,5013,0,40,United-States,<=50K -45,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,102953,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K -42,Self-emp-inc,196514,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,219687,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K -54,Private,99434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,220323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,113397,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,130438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,328239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -20,?,173945,11th,7,Married-civ-spouse,?,Other-relative,White,Female,0,0,39,United-States,<=50K -54,Private,215990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -35,?,224466,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,24,United-States,<=50K -21,Private,107895,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -40,Private,197923,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K -20,Private,206869,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -55,Private,308373,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -21,Private,252024,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,Mexico,<=50K -28,Private,146565,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,287008,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,Germany,>50K -70,?,98979,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K -40,Private,73025,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K -40,Private,173590,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,104213,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,178551,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K -43,Private,108682,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,Private,209955,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,Canada,<=50K -30,Local-gov,27051,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -57,Local-gov,62701,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,6849,0,40,United-States,<=50K -33,Private,200246,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,105138,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,183612,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -30,Private,102821,Some-college,10,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -43,Private,117037,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2042,40,United-States,<=50K -19,Private,125938,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K -21,Private,267040,10th,6,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,61898,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -34,State-gov,366198,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K -45,State-gov,231013,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,102142,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,127573,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,2202,0,45,United-States,<=50K -28,Private,192237,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -68,State-gov,202699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,42,?,>50K -55,Private,213615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-not-inc,118523,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,430340,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Federal-gov,128553,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,157747,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,124090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,213208,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,38,Jamaica,<=50K -46,Federal-gov,44706,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K -20,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,181372,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Private,43712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -26,Self-emp-not-inc,334267,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,143526,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,46609,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -21,Private,143604,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,29,?,<=50K -42,Private,227968,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,28,Haiti,<=50K -22,Private,102632,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -49,Private,211005,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,60,United-States,<=50K -24,Private,238917,5th-6th,3,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -52,Local-gov,255927,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -41,Private,444743,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,294406,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,255830,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,Black,Female,7443,0,40,United-States,<=50K -36,Federal-gov,128884,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -77,?,180425,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -23,State-gov,309055,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -27,?,162104,9th,5,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,163870,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,197397,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,6,Puerto-Rico,<=50K -31,Local-gov,356689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,184659,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,United-States,<=50K -25,Private,25497,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K -46,Private,294907,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,62932,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -36,Private,143152,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,217962,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,?,<=50K -27,Private,278720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -18,Private,20057,7th-8th,4,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -45,Private,172274,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,3004,35,United-States,>50K -34,Private,178841,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -41,Private,282882,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,103586,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K -34,Private,148226,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K -37,Private,105044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -25,Private,257310,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,356619,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,156300,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K -24,Private,280134,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,49,El-Salvador,<=50K -61,Self-emp-not-inc,48846,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -37,Private,232036,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,152652,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,207113,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,304955,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Self-emp-not-inc,155343,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K -27,Private,335878,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -33,Private,177083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K -50,Private,343847,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K -24,Private,138892,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,323229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,224632,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -50,Private,187465,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,88126,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -57,?,172667,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -41,Self-emp-not-inc,37618,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -60,Federal-gov,55621,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,162606,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,279615,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,199448,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,315776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,8614,0,52,United-States,>50K -26,Private,156848,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,State-gov,142766,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -66,?,128609,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,0,40,United-States,>50K -49,Local-gov,194895,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K -24,Private,88676,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -39,Private,190728,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,?,146589,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,157024,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -45,Private,26522,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,35,United-States,>50K -64,Private,102041,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,405601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -67,Private,171584,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,6514,0,7,United-States,>50K -31,Private,103642,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -52,Private,178915,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,309504,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,24,United-States,<=50K -27,Private,198197,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,245090,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,El-Salvador,<=50K -48,Private,189462,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -76,?,172637,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -22,Private,115244,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,404062,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,15,United-States,>50K -22,Private,363219,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -20,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,?,143774,HS-grad,9,Divorced,?,Other-relative,White,Female,0,0,40,United-States,<=50K -31,Private,163594,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Private,126060,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,27821,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -45,Federal-gov,171335,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -48,Self-emp-inc,148995,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -28,Private,120475,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,107812,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,6849,0,35,United-States,<=50K -33,Private,341187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -55,Private,117477,11th,7,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -30,Private,177522,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -45,State-gov,319666,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -53,Private,116288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,34722,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -22,?,217421,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -47,Private,294913,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -25,Self-emp-inc,158033,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -61,Self-emp-not-inc,32423,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,22040,0,40,United-States,<=50K -22,Private,246965,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K -26,Private,213799,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,200618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,206775,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -51,State-gov,42017,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,?,35303,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K -37,Private,125550,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -20,Private,259496,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,143069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -22,?,88126,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,208068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -20,Private,155775,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -42,Private,165309,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,116493,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -30,Private,39054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -38,Private,174242,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Private,200471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -41,?,129155,11th,7,Widowed,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,52465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,101077,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -73,Private,35370,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -29,Private,126208,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -21,?,242736,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,294701,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,345066,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,180695,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K -32,Private,39248,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,40,United-States,<=50K -33,Private,496743,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K -23,Private,107564,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -40,Private,220589,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -38,Private,193026,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Iran,<=50K -29,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -69,?,107575,HS-grad,9,Divorced,?,Not-in-family,White,Female,2964,0,35,United-States,<=50K -20,Self-emp-not-inc,188274,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -56,Private,101436,HS-grad,9,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -58,Private,97541,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -52,Private,156953,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -68,?,191288,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -44,Self-emp-inc,240900,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,273206,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,23,United-States,<=50K -31,Private,117507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,32059,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,23,United-States,<=50K -22,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,277328,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,Cuba,<=50K -42,Self-emp-not-inc,27661,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,224234,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Private,44368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,410632,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,185057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,>50K -34,State-gov,647591,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,130126,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -18,Private,84253,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -58,Local-gov,489085,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,95725,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,205100,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -54,Private,186224,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Private,239461,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -63,Private,133144,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,20,United-States,<=50K -36,Private,306567,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K -43,Private,488706,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -56,Private,90017,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -47,Private,189680,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,171236,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,368797,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -38,Private,102938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,156040,5th-6th,3,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,207449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,226975,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1876,60,United-States,<=50K -42,Private,259757,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,653,50,United-States,>50K -59,Local-gov,147707,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,2339,40,United-States,<=50K -46,Self-emp-inc,328216,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,42,?,>50K -29,Private,158096,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,41223,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Private,314649,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -39,Federal-gov,203070,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-inc,208802,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,36,United-States,>50K -35,Private,253006,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K -35,Private,138441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,144133,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K -50,Private,273534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,235849,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,212888,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -29,Local-gov,220656,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -50,Local-gov,96062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -28,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -61,Private,122246,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,124971,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -44,Private,187584,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K -43,Private,221172,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,>50K -35,Private,290226,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -61,Private,176689,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,42900,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,166210,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -24,?,263612,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Local-gov,198478,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,205670,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,117363,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,343068,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,37345,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -34,Self-emp-not-inc,313729,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,46019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,5178,0,50,United-States,>50K -34,Private,209691,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,50,United-States,>50K -46,Private,194063,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,194102,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,156501,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -20,Private,190227,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,71221,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K -21,Private,253190,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -45,Private,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,91716,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,246207,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -19,Private,183041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -72,?,33608,Some-college,10,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K -24,Private,253190,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,142158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -34,Self-emp-not-inc,106761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,314007,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -36,Private,126569,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Ecuador,>50K -60,Private,239576,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K -24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Private,112763,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -24,Private,233856,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,45,United-States,<=50K -41,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -24,Private,220944,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -58,State-gov,198145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,265881,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,146440,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -80,Self-emp-not-inc,562336,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -29,State-gov,201556,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,325372,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -26,Self-emp-not-inc,195636,10th,6,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,75,United-States,>50K -35,Private,270572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -41,Self-emp-not-inc,226505,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,172342,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,38707,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,206707,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,State-gov,165289,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,131291,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Federal-gov,226916,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,122066,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -53,Federal-gov,84278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -28,Private,27044,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -41,Private,206948,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,180052,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,23778,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,4416,0,40,United-States,<=50K -41,Self-emp-not-inc,111232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,136277,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Private,209770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -88,Private,68539,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,195179,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -41,Private,190885,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -76,Private,203910,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K -36,Private,37238,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K -31,Private,324386,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,331875,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,196491,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,194189,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,192506,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -36,Private,343476,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,144911,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -19,Private,243942,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,24344,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,State-gov,71996,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K -26,Private,182178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -29,Private,97165,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,?,37030,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -33,Private,255334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -30,Private,278502,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,62,United-States,<=50K -28,Private,128509,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K -58,State-gov,123329,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -66,Self-emp-inc,115880,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,237065,Some-college,10,Divorced,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K -49,Self-emp-inc,191277,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -31,Private,209538,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,136094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -45,State-gov,255456,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -53,Private,185407,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -25,Private,197728,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,88564,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,98639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,77373,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,65,United-States,>50K -22,?,189203,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K -53,Local-gov,146834,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -33,Local-gov,120508,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,60,Germany,<=50K -54,?,410114,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,105788,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,6497,0,35,United-States,<=50K -44,Self-emp-inc,220230,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,United-States,<=50K -31,State-gov,301526,Some-college,10,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,131982,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K -29,Local-gov,76978,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K -36,Private,33001,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -37,Private,269323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -41,?,27187,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,2415,12,United-States,>50K -29,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -20,Private,161708,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -28,?,194087,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Federal-gov,209131,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -68,?,294420,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,2,United-States,<=50K -42,Private,134509,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,?,33355,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,210794,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,210474,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,102729,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,401690,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Local-gov,318259,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,190418,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K -45,Private,28119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,7,United-States,<=50K -46,Private,107737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,43313,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,166863,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,231263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,45,United-States,<=50K -42,Private,306496,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,147284,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,99,United-States,>50K -27,Private,58654,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,103205,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,196643,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -40,Local-gov,104235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,30,United-States,<=50K -19,Private,72355,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Federal-gov,206857,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,83827,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,?,44793,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,141003,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -32,Self-emp-inc,218407,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,Cuba,<=50K -42,Private,198282,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,95634,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,45,?,<=50K -33,Private,183778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,165018,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,27776,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,112847,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -66,Private,236879,Preschool,1,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K -35,Private,100634,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,175958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -54,Private,96062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,202027,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -26,Private,194813,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,94809,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2346,0,33,United-States,<=50K -19,Private,125591,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Local-gov,121124,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -45,Private,201127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,375675,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -32,Private,217460,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -30,Self-emp-not-inc,131584,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -52,Private,180142,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,154120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -18,Private,116528,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,State-gov,298786,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Private,298130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,128105,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -59,Self-emp-not-inc,185410,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,216572,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,125550,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -67,Private,228200,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,20,United-States,<=50K -46,Private,113390,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,60,United-States,<=50K -32,Private,180296,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,320984,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -26,Local-gov,190350,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K -62,Self-emp-not-inc,215789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -78,Private,182977,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K -44,Private,171615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,304175,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -35,Local-gov,91124,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,?,321403,9th,5,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,343721,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,?,>50K -51,Local-gov,146325,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -30,Private,66278,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,120155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K -50,Self-emp-inc,207841,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -19,Private,187161,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -66,Self-emp-not-inc,252842,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K -45,Private,116163,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,122797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,203217,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -35,Private,278442,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K -52,Private,87205,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,175856,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,284095,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -26,Private,106950,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Local-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,179579,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,332931,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -61,Federal-gov,136787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -54,Private,326156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,265477,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,>50K -40,Local-gov,105717,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K -36,Private,189404,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,35,United-States,>50K -53,Self-emp-not-inc,169112,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Hungary,>50K -32,Private,169841,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Federal-gov,97863,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -18,?,211459,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Self-emp-not-inc,278632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,223811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,?,119522,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Private,31905,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -27,Local-gov,162404,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,2174,0,40,United-States,<=50K -29,Private,406662,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,329425,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,553405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,?,235442,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -22,Federal-gov,57216,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -53,Local-gov,293941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,104094,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -35,Private,287658,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K -23,?,381741,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,1721,20,United-States,<=50K -38,Local-gov,256864,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,127651,10th,6,Never-married,Transport-moving,Other-relative,White,Male,0,1741,40,United-States,<=50K -35,Private,357173,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -53,Local-gov,169719,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,249362,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,435356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -64,?,201700,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,30597,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -40,Private,205987,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Cuba,<=50K -21,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -47,Self-emp-not-inc,158451,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,Private,186172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -48,Private,47022,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,48,United-States,<=50K -28,Private,187160,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K -61,Local-gov,180079,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,40,United-States,<=50K -28,Private,204600,HS-grad,9,Separated,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,171876,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,216672,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,146326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,250206,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -41,Local-gov,344624,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,>50K -28,?,200819,7th-8th,4,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K -34,Self-emp-not-inc,198664,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,15024,0,70,South,>50K -24,Private,300584,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,470663,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,181129,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -19,Private,361341,12th,8,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,Thailand,<=50K -38,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K -45,Private,248993,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,162312,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,45,South,<=50K -26,Local-gov,219796,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K -27,Private,211215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,?,194608,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -52,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -48,Private,250648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -41,Private,308296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,20,United-States,<=50K -55,Private,119344,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,263561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,45,United-States,>50K -28,Private,210765,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,175942,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K -44,Private,167725,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -33,Private,169496,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,24367,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K -30,Private,398019,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,Mexico,<=50K -34,Private,188736,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Female,0,0,20,Columbia,<=50K -34,Private,157289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,224203,Some-college,10,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,192337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K -46,Local-gov,207677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -24,Self-emp-not-inc,174391,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,245408,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,180758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -61,Private,258775,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K -60,Private,169204,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,119164,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,?,<=50K -40,Private,195488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -49,Private,105614,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,183009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,1590,40,United-States,<=50K -49,Private,213668,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -21,Private,265148,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,38,Jamaica,<=50K -61,Private,227468,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Local-gov,129193,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,115585,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,189265,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,5,United-States,<=50K -29,Private,266043,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,114798,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,168524,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,378322,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,98776,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -80,Private,227210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,40,United-States,>50K -22,State-gov,347803,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,20,United-States,<=50K -26,Private,142152,11th,7,Never-married,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,266467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -74,Private,161387,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,16,United-States,<=50K -27,Self-emp-not-inc,153546,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,278322,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Self-emp-inc,179951,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -80,Self-emp-not-inc,201092,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -41,Private,252058,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,132529,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,67317,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,380543,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -53,Federal-gov,169112,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -20,Private,137895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,491000,Assoc-voc,11,Divorced,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Private,99925,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K -55,Private,223127,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,81648,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -30,Local-gov,264936,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Federal-gov,344415,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,1887,40,United-States,>50K -38,Private,336326,11th,7,Never-married,Craft-repair,Unmarried,White,Male,1151,0,40,United-States,<=50K -44,Self-emp-not-inc,343190,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K -18,Private,109928,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,206088,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,275369,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,Haiti,<=50K -41,Local-gov,227644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,64632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -44,Self-emp-inc,153132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,52,United-States,>50K -22,?,283510,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,45,United-States,<=50K -39,Self-emp-inc,163057,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,99,United-States,<=50K -50,Self-emp-not-inc,371305,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -51,Federal-gov,215948,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K -35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,3674,0,40,United-States,<=50K -40,Private,246949,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Local-gov,67187,HS-grad,9,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,319883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,10,?,>50K -35,Private,143231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -23,Private,349156,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,182342,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,82050,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -36,State-gov,183735,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,761006,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,366089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,247082,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,41099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,144064,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -36,Private,349534,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,31,United-States,>50K -31,Private,215297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,209691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -42,Self-emp-not-inc,201522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -20,?,218875,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K -31,Private,91666,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -60,Private,125019,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,48,United-States,>50K -32,Private,208291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,144990,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,176215,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,56,United-States,>50K -50,State-gov,78923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -20,Private,224640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -59,Federal-gov,115842,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,219074,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K -20,Private,161092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,14,United-States,<=50K -30,?,186420,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,250819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,148995,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -57,Private,111553,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,202871,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -63,?,97823,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,58484,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,339482,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,209900,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -43,Local-gov,161240,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -26,Self-emp-not-inc,318644,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,335223,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -22,?,139883,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,60981,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -44,Federal-gov,281739,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K -33,Local-gov,169652,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,1669,55,United-States,<=50K -22,Private,33087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,46691,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,224634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -26,Private,174267,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,64,United-States,<=50K -53,Private,92565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,177783,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,149949,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,33673,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -34,Private,199934,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,40,United-States,>50K -22,Private,198270,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,38,United-States,<=50K -59,Private,359292,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -40,Local-gov,163725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -19,Private,252862,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -43,State-gov,27661,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,166481,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,2179,40,Puerto-Rico,<=50K -44,Federal-gov,210492,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -37,State-gov,178876,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,202214,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -27,Private,387776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,169611,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,213412,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -73,Private,284680,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Private,143353,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,12,United-States,<=50K -43,Private,168412,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,44,Poland,<=50K -37,Private,217054,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,120131,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,>50K -22,?,354351,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,186977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Columbia,<=50K -36,Private,362067,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,126675,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,283268,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K -22,Private,311376,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,315110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -22,Private,415755,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,142022,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -33,Federal-gov,615893,Masters,14,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Nicaragua,<=50K -18,Private,716066,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -45,Self-emp-not-inc,40690,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K -30,Private,251120,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,England,<=50K -20,Private,200421,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -29,Self-emp-not-inc,198286,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,422960,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -38,Local-gov,745768,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -22,Private,359759,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -47,Private,358382,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,113364,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,122485,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,40,United-States,<=50K -54,Self-emp-inc,52565,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,250978,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,75,United-States,<=50K -35,Local-gov,26987,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,45,United-States,<=50K -18,Private,240747,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -43,Private,203554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -38,Private,96330,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,71344,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -49,Local-gov,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,214275,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,55,United-States,<=50K -72,Self-emp-not-inc,203289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,306779,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -29,Private,178551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,170376,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -55,Self-emp-not-inc,193374,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,125082,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,112494,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -52,Private,228500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,113481,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,247750,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -36,Private,275653,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2977,0,40,Puerto-Rico,<=50K -23,Private,57898,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Self-emp-not-inc,263568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -28,Private,115945,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K -43,Private,153132,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,State-gov,192779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,179314,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -62,State-gov,342049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,272338,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K -46,Local-gov,170092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K -46,Local-gov,125457,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,>50K -61,Local-gov,260167,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,228406,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Private,192591,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,183674,12th,8,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,?,<=50K -17,Private,141445,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -27,Self-emp-not-inc,328119,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Mexico,<=50K -34,State-gov,145874,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -23,Private,196678,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -71,Private,193530,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,75,United-States,<=50K -22,Private,298489,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,201595,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -35,Self-emp-not-inc,120066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -60,Private,135470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -41,Self-emp-not-inc,186909,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,1902,35,United-States,>50K -23,Private,199884,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -41,Private,193494,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -49,Self-emp-not-inc,111959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Scotland,>50K -34,Private,158420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -26,Private,223464,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,214242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -29,Private,221428,12th,8,Married-civ-spouse,Sales,Own-child,Other,Male,0,0,35,United-States,<=50K -53,Private,121618,7th-8th,4,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -55,Private,127014,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,201179,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,337276,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -58,Private,137506,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -78,Self-emp-not-inc,184762,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3471,0,50,United-States,<=50K -74,Private,147558,Some-college,10,Divorced,Sales,Not-in-family,White,Female,7262,0,30,United-States,>50K -31,State-gov,373432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K -64,Self-emp-not-inc,73986,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,178449,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,154978,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K -32,Local-gov,349148,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,133625,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,105520,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,181130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -46,Private,98637,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -57,Private,224174,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -40,Private,277488,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,213700,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K -31,Private,182539,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,Local-gov,194325,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -47,?,111563,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,294936,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,45,United-States,<=50K -21,Private,228230,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -39,Private,172718,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,287908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,159732,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,43,United-States,<=50K -46,Private,318331,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,233626,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,Private,172830,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,40,United-States,<=50K -28,Private,108569,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K -30,Private,176410,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Own-child,White,Female,7298,0,16,United-States,>50K -85,Private,98611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,Poland,<=50K -50,Federal-gov,189831,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K -68,Private,218637,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2377,55,United-States,>50K -20,Private,211391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -35,Private,276153,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,4650,0,40,United-States,<=50K -29,Private,113635,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,113364,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -65,Self-emp-not-inc,118474,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,59,?,>50K -30,Private,216864,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,108435,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Italy,<=50K -38,Private,103925,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,164210,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,122194,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,117915,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,?,191846,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,276241,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,156667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -60,Private,182343,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,281574,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,43,United-States,<=50K -27,Private,193122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,State-gov,254285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,219867,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -22,Private,349368,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,129764,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,175769,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -30,Private,239648,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -43,Federal-gov,111483,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -31,Private,242616,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,256240,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,92008,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,28,United-States,<=50K -58,Private,107897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -53,Self-emp-inc,134793,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -50,Private,183638,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,192614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K -44,State-gov,691903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -18,Private,255595,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,5,United-States,<=50K -49,Private,265295,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,133060,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,467579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K -30,Private,189620,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,40,England,<=50K -56,Private,108276,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,253814,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -28,Private,243660,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,45796,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -40,Self-emp-inc,191429,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -33,State-gov,425785,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,241667,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,126569,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,184568,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,State-gov,409201,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,136358,Masters,14,Divorced,Sales,Unmarried,Other,Female,0,0,20,Peru,<=50K -50,Private,197826,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,95864,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K -52,Private,91506,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,99138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -62,Private,159841,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -25,Private,203570,HS-grad,9,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -37,State-gov,117651,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,85604,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -17,Local-gov,161955,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -34,Self-emp-not-inc,208068,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Guatemala,<=50K -34,Private,198751,Masters,14,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -59,Private,110820,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,>50K -60,Private,131681,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,195520,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Ireland,<=50K -53,Private,203173,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,312206,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -47,Private,199277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Portugal,>50K -33,Private,392812,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,390243,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Federal-gov,163870,Some-college,10,Never-married,Armed-Forces,Other-relative,White,Male,0,0,40,United-States,<=50K -45,Private,302584,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,311446,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,Germany,<=50K -46,Private,63299,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,177858,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K -33,Private,262439,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -28,?,389857,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,16,United-States,<=50K -33,Private,239071,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,46,United-States,<=50K -49,Self-emp-not-inc,111066,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,344414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,175925,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,2179,52,United-States,<=50K -44,Private,191268,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -65,?,168548,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,105614,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -20,Private,347391,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,<=50K -38,?,229363,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -23,Private,256755,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Cuba,<=50K -24,Private,542762,Bachelors,13,Never-married,Sales,Other-relative,Black,Male,0,0,50,United-States,<=50K -31,Private,101697,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,173724,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -36,Private,281021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,90308,Preschool,1,Never-married,Other-service,Unmarried,White,Male,0,0,28,El-Salvador,<=50K -35,Private,75855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7298,0,40,?,>50K -27,Private,108431,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,278617,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -53,Self-emp-inc,69372,Doctorate,16,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -64,Local-gov,181628,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -47,Federal-gov,137917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,144928,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,215955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -38,Local-gov,115634,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,19447,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,170174,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,287598,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -44,Private,96129,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,215310,11th,7,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,127961,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -37,Local-gov,174924,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,48,Germany,<=50K -25,Private,190107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,189680,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -25,Private,190650,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -20,Private,109952,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -42,?,167678,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,22,Ecuador,<=50K -40,Private,209547,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -42,Private,227065,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K -37,Private,103323,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,261259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -41,State-gov,129865,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,State-gov,112497,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1876,44,United-States,<=50K -32,Private,47932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,202450,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -53,Private,35102,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K -59,Self-emp-inc,76860,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,China,>50K -53,Self-emp-not-inc,101017,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -39,Federal-gov,103984,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,197810,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,105357,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,58326,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K -50,Self-emp-not-inc,93705,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,284710,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,Columbia,>50K -25,Private,187653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -37,Private,119992,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,60,United-States,<=50K -47,Private,107460,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K -56,Self-emp-not-inc,222182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K -39,Self-emp-inc,304001,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -53,Private,208122,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,60,United-States,>50K -23,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,23,Iran,<=50K -33,Private,154227,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,132601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,120135,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -74,Private,172787,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,2282,35,United-States,>50K -20,Private,494784,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K -42,Local-gov,121998,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -28,Local-gov,191088,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,60,United-States,<=50K -30,Private,88913,Some-college,10,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -21,Private,319163,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,183257,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -43,Private,245975,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,84,United-States,<=50K -22,Private,231912,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -34,Private,287168,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,377850,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,255647,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,Mexico,<=50K -45,Private,139571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Private,155509,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -50,Private,309017,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -61,Private,111563,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,27,United-States,<=50K -51,Private,245356,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -27,Private,492263,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,35,Mexico,<=50K -45,Private,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -25,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,34,United-States,<=50K -58,State-gov,259929,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,>50K -39,Private,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K -25,Private,218136,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -26,Private,121559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,187693,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,38488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,341672,Bachelors,13,Separated,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -32,Self-emp-not-inc,180303,Bachelors,13,Divorced,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,47,Iran,<=50K -23,Private,93977,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,377836,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,176079,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -72,Private,188528,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Canada,>50K -41,Private,151504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -44,State-gov,193524,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -61,Local-gov,144723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -47,Private,44671,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -48,Private,155489,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Local-gov,332249,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,62374,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -57,Private,195876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,126675,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1579,40,United-States,<=50K -47,Self-emp-inc,209460,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,>50K -44,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,80,United-States,>50K -48,Self-emp-not-inc,101233,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -54,Local-gov,182543,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -36,Private,49626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,210926,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,290429,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,221561,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K -32,?,335427,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -25,Private,207369,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -28,Self-emp-inc,146042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,207540,Doctorate,16,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -40,Self-emp-inc,132222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,170562,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,381965,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -63,Private,165775,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,21,United-States,<=50K -36,Self-emp-not-inc,180686,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -20,?,114813,10th,6,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,206459,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -69,Private,88566,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,1424,0,35,United-States,<=50K -37,Private,80303,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,Private,305446,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,221532,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,50053,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Japan,<=50K -36,Self-emp-not-inc,110622,Bachelors,13,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,8,South,<=50K -74,Private,203523,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2653,0,12,United-States,<=50K -46,Local-gov,200727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,188171,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,175878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -24,Private,138768,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -64,Federal-gov,168854,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -40,Private,186916,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,122920,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,56,United-States,<=50K -24,Private,278130,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,213191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -35,Federal-gov,110188,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -45,Private,120724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,<=50K -49,Private,315437,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,184307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Jamaica,>50K -29,Self-emp-not-inc,141185,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,129232,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,254746,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,179010,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,47541,Masters,14,Never-married,Transport-moving,Not-in-family,White,Male,0,0,25,United-States,<=50K -39,Private,421633,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -37,Private,412296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,>50K -32,Private,216145,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,4650,0,45,United-States,<=50K -51,Private,410114,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,118551,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,219140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,101978,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,52596,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -70,Local-gov,334666,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K -52,Private,125932,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,187322,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,260645,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,126613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,178353,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,10520,0,60,United-States,>50K -48,Self-emp-inc,369522,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K -45,Private,216932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,189890,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,38,United-States,<=50K -27,Private,226441,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,202168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,153312,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -23,Private,141272,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -24,Private,218415,11th,7,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Private,192565,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -47,Self-emp-not-inc,112200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,10520,0,45,United-States,>50K -34,State-gov,595000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -28,Private,239753,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,198692,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,60,United-States,>50K -44,Private,115411,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,175856,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,79324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,93235,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,24896,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -52,Self-emp-inc,392502,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,232991,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -32,Private,162572,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -49,State-gov,122177,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,293690,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K -37,Private,202662,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,109598,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,189924,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -36,Private,116608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -49,Self-emp-inc,235646,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K -42,Private,144594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Private,52184,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,211527,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -27,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Federal-gov,340217,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,227466,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -66,?,299616,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,173981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K -53,Federal-gov,199720,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Germany,>50K -41,Private,167375,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,52,United-States,<=50K -29,Private,237865,Masters,14,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,55284,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -59,Private,113838,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,194908,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -42,State-gov,304302,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,344394,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Private,133937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,207058,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -42,Private,188808,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,30,United-States,<=50K -54,Private,194580,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,114939,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,120985,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,290504,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,376683,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -19,Private,389143,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,37394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,243890,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -31,Private,101562,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -30,Private,169496,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,>50K -42,Private,211253,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,163392,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -38,Private,127493,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Private,210991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,192128,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,186909,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -27,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,259323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,208137,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,398918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -29,?,44921,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,304955,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,349028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,State-gov,314770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -48,Self-emp-inc,38819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -27,Local-gov,47284,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Private,173580,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,63910,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Private,111415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,State-gov,184378,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,80058,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,32406,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -57,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,<=50K -27,Self-emp-not-inc,229126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -40,Private,438427,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,322674,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,216858,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -36,Private,176544,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -65,Private,173674,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,14,United-States,<=50K -33,Private,172304,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -33,Private,149902,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Local-gov,190330,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,235683,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -43,Private,96483,HS-grad,9,Divorced,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K -23,Private,607118,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -44,Private,195545,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -56,Private,158776,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,258339,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -43,State-gov,199806,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,Private,211355,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -23,Private,211345,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Nicaragua,<=50K -29,Local-gov,141005,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -35,Private,217605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,504871,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,247024,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,188544,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,333910,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K -26,Private,279833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,>50K -31,Private,236861,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -24,Private,160122,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K -49,?,271346,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,15024,0,60,United-States,>50K -48,Private,167967,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,344480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -20,Private,115057,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,535740,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,State-gov,157541,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K -49,Local-gov,177114,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Private,80356,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,110748,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,318912,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Male,0,0,52,United-States,<=50K -43,Self-emp-not-inc,297510,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -55,Local-gov,143949,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,45,United-States,>50K -51,Federal-gov,163671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K -43,Private,55764,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -50,Local-gov,320510,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,56,United-States,>50K -55,Private,171015,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,216540,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,119742,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -34,Private,185820,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -44,Private,275094,1st-4th,2,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -37,Private,207066,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,358434,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,222635,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K -35,Private,46947,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -51,Private,106728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K -25,State-gov,143062,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,68872,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -52,Private,305090,Some-college,10,Separated,Sales,Other-relative,White,Female,0,0,55,United-States,<=50K -41,Private,425444,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -40,Private,359389,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -65,Private,115922,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K -54,Self-emp-not-inc,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,104545,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -47,Private,280798,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,268358,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,126701,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,200227,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -36,Private,139180,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,149324,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K -48,Private,149337,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Private,78488,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -39,Private,202683,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,192900,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,211049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -48,Private,34845,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,181940,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,Private,92179,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,153312,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -64,Private,191477,5th-6th,3,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,4,United-States,<=50K -17,Private,108402,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,225156,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Federal-gov,162187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,175642,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,182108,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Local-gov,461678,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,37778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,100293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,32776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -46,Federal-gov,233555,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -45,Self-emp-not-inc,364365,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,Private,186731,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Federal-gov,134307,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,1741,40,United-States,<=50K -29,Private,202182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,104423,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,212210,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -59,Private,137506,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,152909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -36,Private,143123,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -45,?,69596,10th,6,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,184306,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -29,Private,174163,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,State-gov,173273,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -46,Private,178829,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -53,?,123011,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,52565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,40,United-States,<=50K -33,Private,109996,Assoc-acdm,12,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,316841,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,?,138504,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,37,United-States,<=50K -38,Private,252897,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,122116,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -62,Federal-gov,52765,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,174395,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -38,Private,52263,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,32732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -62,Private,290754,10th,6,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,155915,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,222756,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K -45,Private,207955,5th-6th,3,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Ecuador,<=50K -41,Private,289403,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K -41,Private,108681,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,173789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,398843,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -63,Self-emp-not-inc,194638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -40,Federal-gov,39137,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,201924,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -24,Private,194848,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,196123,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -41,Self-emp-not-inc,32533,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,179557,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,198211,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,187981,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,475322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -35,Private,263081,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -55,Self-emp-not-inc,76901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -25,Self-emp-not-inc,108001,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,15,United-States,<=50K -40,Private,320451,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -21,Private,206861,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K -25,Private,108779,Masters,14,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -51,Local-gov,349431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -60,Private,355865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,91964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,155475,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,210496,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Local-gov,143865,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -42,Local-gov,267138,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,154342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -20,?,259865,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K -30,Private,278006,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,298605,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,195760,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -17,?,132962,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -45,Private,337825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Local-gov,202560,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K -64,Federal-gov,271550,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,198259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -59,State-gov,303176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2179,40,United-States,<=50K -45,Private,149169,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,312966,9th,5,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -20,?,124954,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -20,Private,91819,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -49,Private,192323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,109456,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,264012,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,116365,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -47,Private,151584,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -43,Self-emp-inc,84924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -52,Private,129177,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,2824,20,United-States,>50K -40,Private,374137,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,143791,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K -61,Self-emp-not-inc,50483,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -45,Self-emp-not-inc,247053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,37202,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,Private,99385,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -33,?,160776,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,France,<=50K -52,Local-gov,133403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -44,Local-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,354408,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,46492,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -41,Private,252986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -40,Self-emp-not-inc,145441,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,30,United-States,<=50K -75,Private,200068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -51,State-gov,103063,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -53,Private,139157,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,166634,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -42,?,51795,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K -49,Private,184986,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,276864,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K -41,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -32,Local-gov,230912,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,40,United-States,<=50K -34,Local-gov,254270,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,153546,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,390817,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -41,Private,230020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,27653,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -63,Self-emp-inc,272425,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,37618,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -23,Private,306309,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,273575,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,40,United-States,>50K -27,Private,263552,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,163772,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K -35,Private,206951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Private,296212,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Private,199545,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K -29,Private,110226,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,?,<=50K -17,?,110998,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -27,Private,135001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Local-gov,94358,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K -62,Self-emp-not-inc,162347,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,>50K -19,?,317988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -56,Local-gov,170217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,?,70282,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,219701,12th,8,Divorced,Protective-serv,Not-in-family,White,Male,0,0,37,Cuba,<=50K -27,Private,126060,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -51,Private,186299,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,107882,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,371408,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K -24,?,265434,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,344492,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,26,United-States,<=50K -32,Private,235109,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,200734,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -28,Private,190836,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -56,Private,244554,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,195554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -36,Private,220696,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -27,Private,81540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,345459,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,121352,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,238867,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1602,40,United-States,<=50K -60,Private,80927,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -22,?,96844,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1602,20,United-States,<=50K -26,Private,302097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,48,United-States,<=50K -41,Private,304175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -29,Private,83742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -21,?,148509,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,62278,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -52,State-gov,303462,Some-college,10,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,196707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,43,United-States,>50K -48,Private,117310,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -81,Private,39667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K -19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -49,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -40,State-gov,175304,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,124953,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -43,Private,180599,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K -61,Federal-gov,160155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,175600,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,193882,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,181772,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,220748,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,48,United-States,<=50K -47,Private,185866,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,?,>50K -61,Self-emp-not-inc,181033,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -27,?,157624,HS-grad,9,Separated,?,Other-relative,White,Female,0,0,40,United-States,<=50K -62,Private,141308,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,123606,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,97005,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,91999,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -38,Private,396595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -30,Private,316470,9th,5,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -50,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,98114,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,153832,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,137076,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,?,177304,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,Columbia,<=50K -38,State-gov,200904,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,>50K -31,Private,162160,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -18,Private,54639,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,82067,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,191276,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,354078,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -56,Private,282023,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -35,Private,169104,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,125776,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -29,Local-gov,123983,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -32,State-gov,159247,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -47,State-gov,287547,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,51,United-States,<=50K -23,Private,434467,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -41,Private,425049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -39,Private,187847,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Local-gov,176162,Assoc-voc,11,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -47,Self-emp-not-inc,274800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,297551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -46,Private,187370,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K -33,Private,108328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,50,United-States,<=50K -64,Self-emp-not-inc,213945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,160120,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2597,0,40,?,<=50K -31,Local-gov,206609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Private,82393,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -23,Private,236804,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,485710,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,240183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,39615,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,223342,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,40,England,<=50K -21,Private,254904,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,261688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K -51,Local-gov,264457,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -32,State-gov,347623,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3411,0,40,United-States,<=50K -32,Private,198183,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Private,138022,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -37,Self-emp-not-inc,205359,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K -41,Private,99665,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,80,United-States,<=50K -20,Private,184045,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -34,Private,321709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -41,Local-gov,160785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,183778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Local-gov,200471,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -30,Private,110594,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,87556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,82508,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Private,211075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,171461,10th,6,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -39,State-gov,318918,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,368570,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,519006,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -53,Private,56213,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,State-gov,239303,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3942,0,7,United-States,<=50K -50,Private,126566,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,188108,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,4101,0,40,United-States,<=50K -66,?,52728,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -69,Private,130060,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,2387,0,40,United-States,<=50K -57,Private,231232,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,431515,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,230246,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -24,Private,81145,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,134446,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,54,United-States,<=50K -36,Local-gov,191161,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K -22,?,210802,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K -62,State-gov,265201,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,92374,Some-college,10,Never-married,Exec-managerial,Not-in-family,Other,Male,13550,0,60,India,>50K -45,Private,192053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Private,150480,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -25,?,168358,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,187447,Some-college,10,Separated,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -17,?,48703,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -51,Private,348099,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1590,40,United-States,<=50K -43,Private,138184,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,1762,35,United-States,<=50K -18,Private,301867,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -33,Local-gov,217304,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -56,Federal-gov,130454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,83998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,336624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -47,Private,304133,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,195890,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -41,Self-emp-inc,240900,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,199067,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,United-States,<=50K -37,Private,182148,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,39,United-States,<=50K -38,Self-emp-inc,312232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -42,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -52,Private,93127,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -45,?,319993,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -25,Private,405281,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,89285,Some-college,10,Never-married,Protective-serv,Not-in-family,Other,Female,99999,0,40,United-States,>50K -57,Private,186202,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,?,81468,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,16,United-States,<=50K -45,Private,162302,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -67,Self-emp-not-inc,191380,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,25,United-States,>50K -31,Local-gov,164243,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -52,Private,443742,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,250736,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,99,United-States,<=50K -26,Self-emp-not-inc,192652,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,15,United-States,<=50K -23,Private,335067,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,106549,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,107164,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,204219,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -45,Federal-gov,359808,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,115085,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -78,Self-emp-not-inc,152148,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -62,?,83439,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -72,?,213255,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -35,Private,340428,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Self-emp-not-inc,57233,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,164243,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -63,Private,254907,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -38,Self-emp-not-inc,403391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -31,?,86143,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -28,Private,194690,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,171818,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,186539,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -51,Private,176608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,581071,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K -25,Private,188767,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,189985,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,267205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,>50K -36,Private,185099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -27,Private,261375,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -60,Private,532845,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,>50K -21,?,148294,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,315065,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,60,Mexico,<=50K -66,?,107744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,186191,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,473133,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -27,?,190650,Bachelors,13,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -33,Private,91964,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Private,26915,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,State-gov,161978,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -39,Self-emp-inc,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -56,Self-emp-not-inc,258752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,261278,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,184883,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -70,Private,141742,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,9386,0,50,United-States,>50K -39,Private,115076,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,118605,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,207685,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,34,United-States,<=50K -37,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K -31,Private,144064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,79531,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,113324,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -62,?,144026,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,247286,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,174478,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,29,United-States,<=50K -36,Federal-gov,233955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,279608,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -37,Self-emp-not-inc,284616,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -28,Local-gov,401886,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -54,Private,185407,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,219155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -54,Self-emp-inc,206862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K -64,Private,133166,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,5,United-States,<=50K -17,Private,147497,5th-6th,3,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,272359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,80,United-States,>50K -17,Private,99237,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -34,Local-gov,226296,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -22,Private,219086,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,175856,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,259931,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,184737,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,40,United-States,<=50K -26,Private,158810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -29,Private,52636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,101722,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -17,?,806316,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -57,Local-gov,212303,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,200574,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,<=50K -30,Private,196385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -20,?,38455,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,278736,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -45,Private,31339,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -24,Private,449432,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,183319,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,>50K -39,State-gov,105803,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -25,Private,197303,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,109227,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K -20,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,225311,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,185556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -42,Federal-gov,178470,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,121523,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,191357,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,254351,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Local-gov,97176,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K -47,Self-emp-not-inc,165039,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,132320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -38,Private,436361,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K -64,Private,59829,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,France,<=50K -31,Local-gov,378426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,Columbia,<=50K -72,Private,99554,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,10,Poland,<=50K -32,?,169186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -48,Private,443377,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Self-emp-inc,376230,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -20,Private,138352,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -49,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,35166,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -31,Private,284889,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,41,United-States,<=50K -46,Local-gov,138107,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -51,Private,41414,9th,5,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -21,Private,250647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K -23,Private,118023,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,?,<=50K -19,Private,197748,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Self-emp-not-inc,241469,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,30,United-States,<=50K -21,Private,190805,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -38,Self-emp-not-inc,154641,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,232475,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -21,Private,198050,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,Private,145175,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,155106,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,State-gov,156015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,129513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -25,Private,161027,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,425199,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -34,Private,238376,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -44,Private,54271,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,259716,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -29,Private,80179,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,170065,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,210562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,120691,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -27,Private,329426,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,<=50K -43,Private,341358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,459465,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,?,284450,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -45,State-gov,53768,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -46,Private,181810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4064,0,40,United-States,<=50K -56,Private,413373,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,<=50K -22,Private,202416,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,81281,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,176724,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -39,Private,190297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -33,Private,144064,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -54,State-gov,239256,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,52498,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,59948,9th,5,Never-married,Adm-clerical,Unmarried,Black,Female,114,0,20,United-States,<=50K -43,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -67,Self-emp-not-inc,217892,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,35,United-States,>50K -49,Self-emp-not-inc,249585,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -40,Private,208277,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,425092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -38,Private,393945,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -44,Self-emp-not-inc,172296,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -22,Private,186849,11th,7,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -46,Private,84790,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -53,Private,96062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K -43,Private,233130,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Private,183345,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,296538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -39,Private,77146,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -41,Private,184583,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,59,United-States,<=50K -36,Private,131459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,208068,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Other,Male,7298,0,40,Mexico,>50K -78,Private,184759,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,1797,0,15,United-States,<=50K -37,Private,109996,9th,5,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -23,Private,374474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -17,Private,160758,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,30,United-States,<=50K -23,Private,163665,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -36,Self-emp-not-inc,240810,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,165881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,244523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,191451,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,>50K -31,Private,93326,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,54298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -42,Local-gov,143046,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,173005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K -39,Private,231141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K -30,?,138744,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,?,169104,Assoc-acdm,12,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,16,Philippines,<=50K -21,Local-gov,244074,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -36,Private,188540,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,33068,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,226443,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,?,222381,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,242729,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,199005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -45,State-gov,149640,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K -31,Private,196227,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,148409,Some-college,10,Never-married,?,Own-child,White,Male,0,1721,40,United-States,<=50K -39,Private,229647,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1669,40,United-States,<=50K -50,Private,135643,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K -43,Private,206878,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -62,Private,588484,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -22,Private,333838,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,46087,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -65,Private,154164,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,20,?,>50K -24,Private,138719,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -35,Private,134367,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,129786,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,544319,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,29083,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -25,Private,210148,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,301568,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,83045,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,427862,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -43,State-gov,424094,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,37646,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,210369,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,44942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K -42,Private,240255,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,153484,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Self-emp-not-inc,122206,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,98806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -38,Private,110713,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -30,Private,59496,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,151023,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,114,0,45,United-States,<=50K -55,Private,125000,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -62,Private,273454,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Cuba,<=50K -53,Federal-gov,221791,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,307693,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,30,United-States,<=50K -20,Private,97212,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -28,Private,201954,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -64,Private,183513,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -33,State-gov,208785,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -20,Private,177287,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,Private,281425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Federal-gov,201127,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -35,Private,241126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,239161,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -56,Private,182062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -47,Private,207140,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -36,Private,219814,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Guatemala,<=50K -42,Private,256179,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,>50K -56,Self-emp-inc,321529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -29,Private,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,3325,0,10,United-States,<=50K -44,State-gov,174675,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -22,Private,325179,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -44,State-gov,150755,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K -20,?,189740,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -57,Self-emp-inc,121912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -67,State-gov,54269,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -73,Private,26248,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -34,Private,325658,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,198258,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -17,?,241021,12th,8,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K -24,Private,180931,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,30,United-States,<=50K -29,Self-emp-not-inc,151476,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,2174,0,40,United-States,<=50K -48,State-gov,148738,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,193868,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -61,Self-emp-inc,134768,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,42706,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Private,148113,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,191129,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,498079,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,177727,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,261497,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K -25,Private,205337,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -53,Private,168107,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,242605,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -35,Private,30916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -47,Private,155659,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -31,Self-emp-inc,103435,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,356015,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -38,Private,170020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,45,United-States,<=50K -17,Private,162205,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,238415,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Private,266505,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,38,United-States,<=50K -44,Private,29115,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,176716,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,210926,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,>50K -50,Self-emp-inc,194514,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,Trinadad&Tobago,<=50K -31,Private,265509,Assoc-voc,11,Separated,Tech-support,Unmarried,Black,Female,0,0,32,United-States,<=50K -23,Private,199915,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -43,Private,54611,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -17,?,27251,11th,7,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,State-gov,156848,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,35,United-States,<=50K -41,Private,39581,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,24,El-Salvador,<=50K -51,Private,146813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Private,366957,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K -21,Private,300812,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -31,Private,178370,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K -56,Private,89698,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,116369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,338740,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,271446,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -42,Private,201520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -24,?,83783,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -35,Private,385412,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,136109,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Private,191455,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -24,Private,314182,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,325762,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -59,Private,207391,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,252058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,34180,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -29,Private,89030,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,131091,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,173682,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,155509,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,16,Trinadad&Tobago,<=50K -28,Private,309566,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -41,Private,194537,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,66173,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Local-gov,325792,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,26490,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -18,Private,236069,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K -51,Self-emp-not-inc,208003,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,258102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,242519,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,213750,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,64506,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -38,Private,119098,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K -31,Private,142921,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,654141,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K -21,Private,109869,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -59,Private,38573,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,52,United-States,>50K -33,Private,202046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,323605,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K -34,Private,27153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,52732,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,68620,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,217169,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -65,Self-emp-inc,66360,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,35,United-States,>50K -45,Self-emp-inc,270079,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -62,Private,143312,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -65,Private,190160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -33,Private,35378,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K -66,Private,275918,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K -31,Private,126950,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,State-gov,104353,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K -52,Private,177487,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,399008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K -23,Private,162228,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -27,Private,221366,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -60,Private,117509,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,241346,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -27,Private,171655,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -48,Private,125892,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K -32,Private,41210,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,139095,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,157473,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,179864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,239625,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,141276,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,168138,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,2597,0,48,United-States,<=50K -47,Private,235108,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -53,Self-emp-not-inc,321865,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -50,Self-emp-not-inc,54261,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -51,Self-emp-inc,167793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -44,Private,314739,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,303867,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,160035,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,106850,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,133403,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,35,United-States,<=50K -56,Private,159544,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,157184,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,>50K -18,Private,50119,10th,6,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K -55,Self-emp-inc,258648,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,175985,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Federal-gov,262233,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -35,Private,54159,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -51,Private,171924,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -35,Private,187589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,247025,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,48,United-States,<=50K -44,Federal-gov,44822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,89922,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -56,Private,200316,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,91893,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -55,Private,359972,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -25,Private,178478,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -17,?,40299,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -33,Private,216145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Federal-gov,140711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,268234,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,115912,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,185132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Self-emp-inc,561489,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K -32,Local-gov,223267,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -31,Private,161765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2051,57,United-States,<=50K -22,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -66,Self-emp-not-inc,51415,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,4931,0,98,United-States,<=50K -42,Private,195508,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,52647,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,89419,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -20,?,132053,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,85995,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-not-inc,160167,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -22,Local-gov,163205,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,53,United-States,<=50K -19,Private,234725,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,78104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -54,Local-gov,190333,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -67,Local-gov,342175,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,2009,0,40,United-States,<=50K -46,State-gov,170165,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -36,Private,361888,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -37,Private,280282,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K -21,Private,344891,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -36,Private,268292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -38,Local-gov,325538,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,194901,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -29,Private,77760,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,219504,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K -41,Private,47902,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -43,Local-gov,125461,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,194096,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K -18,Private,415520,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,388946,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,394708,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -20,Private,173851,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,255586,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -19,?,50626,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -30,Private,194827,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -54,?,186565,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,1,United-States,<=50K -67,?,132626,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -21,State-gov,184678,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -72,Private,268861,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,99,?,<=50K -26,Local-gov,287233,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -31,State-gov,203488,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,31014,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Self-emp-not-inc,237670,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -66,Private,350498,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1258,20,United-States,<=50K -37,Private,218955,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,161444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,39,United-States,<=50K -30,Private,633742,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K -38,Private,186359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,125892,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -44,Private,148138,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Japan,>50K -51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,48,United-States,>50K -63,Private,86108,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,6,United-States,<=50K -31,Private,213307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,20,Mexico,<=50K -63,Self-emp-not-inc,106648,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K -51,Private,21698,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,175374,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,224141,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,?,216908,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,303601,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,174760,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -58,Private,66788,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,Portugal,<=50K -39,Private,297847,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,3411,0,34,United-States,<=50K -60,Private,162947,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K -34,Private,340940,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K -36,Private,177285,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K -30,Private,61272,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Portugal,<=50K -63,Private,187919,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K -28,Private,228346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,145269,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K -55,Private,89182,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Italy,<=50K -37,Federal-gov,81853,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K -39,Private,206520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,235795,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -62,Private,159474,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -70,Private,35494,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,65481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -26,?,109564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,154430,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,66095,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,180299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -46,State-gov,111163,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -36,Private,102729,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -19,Private,258470,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,47858,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,240504,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,30682,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,77792,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,?,<=50K -26,Private,186168,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,190511,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,2176,0,35,United-States,<=50K -18,Private,130849,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -46,Private,110457,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,402367,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,45,United-States,>50K -21,Private,329530,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -37,Private,29430,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -41,Private,215453,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,Mexico,<=50K -45,Private,48271,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,Private,111567,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,32016,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -69,?,28197,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -23,Private,214227,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Private,78374,HS-grad,9,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -62,Private,186446,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,43,United-States,<=50K -42,Federal-gov,31621,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,200610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,60,United-States,<=50K -34,Private,167474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,174040,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,201664,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Private,115932,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,186256,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K -29,?,108775,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -42,Private,54611,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,51838,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,218956,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,126913,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -27,Private,617860,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,270043,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,127961,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,206066,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K -44,Private,91674,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,318331,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,201328,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -50,Private,243115,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -51,Local-gov,133963,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,35,?,<=50K -36,Private,232874,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,298950,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,187577,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,177305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,316688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Private,201017,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Scotland,<=50K -59,Private,168569,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -27,Private,210867,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,?,<=50K -53,Federal-gov,181677,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,114011,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,162312,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,70,South,<=50K -33,Private,91666,12th,8,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,227545,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -44,State-gov,26880,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K -17,Private,51939,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -54,State-gov,249096,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -63,?,126540,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -56,Self-emp-inc,42298,9th,5,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -46,Local-gov,172822,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,146711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -48,Self-emp-inc,136878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -18,Private,39411,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -61,Private,170262,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,38,United-States,>50K -30,State-gov,123253,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -74,Private,145463,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K -34,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,101761,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,287008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -72,Private,97304,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,2346,0,40,?,<=50K -58,State-gov,138130,HS-grad,9,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -44,Private,190739,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,32,United-States,<=50K -34,Private,39609,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,203710,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,64671,HS-grad,9,Divorced,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -40,Local-gov,289403,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1887,40,?,>50K -22,Private,83704,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,183557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -45,Private,37987,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -88,Self-emp-not-inc,263569,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K -61,Private,179743,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,20,United-States,<=50K -60,Private,208915,HS-grad,9,Widowed,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K -18,Private,200876,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,16,United-States,<=50K -28,Private,218887,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,35,United-States,<=50K -61,Self-emp-not-inc,140300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -25,Private,182866,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,98389,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,173314,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,60,United-States,<=50K -27,Local-gov,157449,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -47,Private,125892,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,197613,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,304864,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -47,Private,173271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,549430,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K -41,Private,70092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -46,Private,177114,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,27,United-States,<=50K -42,Private,167357,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,213,40,United-States,<=50K -48,Self-emp-inc,192755,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,Canada,>50K -59,Private,144962,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,State-gov,119272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -68,Private,165017,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K -23,Private,146499,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K -41,Private,70447,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -22,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -21,?,123727,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K -53,Private,180062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,101338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,>50K -19,Private,248600,10th,6,Never-married,Other-service,Other-relative,White,Female,34095,0,24,United-States,<=50K -28,State-gov,175325,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,132704,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,32,United-States,>50K -30,Private,178952,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Local-gov,50512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,50,United-States,<=50K -49,Private,124604,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K -30,Private,348592,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,40955,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -46,Private,220269,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,291355,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -20,Private,34706,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,47,United-States,<=50K -59,Private,348430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K -44,Local-gov,113597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,376474,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,137421,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,45,?,<=50K -18,Private,280603,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -43,Private,167151,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,60,United-States,<=50K -22,State-gov,48121,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -43,Private,216497,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -55,Private,90414,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,55,Ireland,<=50K -50,Self-emp-inc,127315,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -43,Private,972354,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -22,Private,347530,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -47,State-gov,119458,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,Private,228686,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,287988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Private,164193,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,?,163726,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,49,United-States,<=50K -20,State-gov,117210,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -81,Private,184615,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,White,Female,1264,0,40,United-States,<=50K -43,Local-gov,118600,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,625,40,United-States,<=50K -20,Private,223811,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,275778,9th,5,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K -40,?,161285,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -22,Private,60552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,164526,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,45,United-States,>50K -57,Self-emp-not-inc,102058,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,?,160654,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,1455435,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,244945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,236910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -56,Private,50490,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,?,187581,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,95469,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K -68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,>50K -19,Private,194260,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,296478,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,199947,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,205940,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,99086,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -47,Self-emp-not-inc,173613,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K -25,Private,171472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -29,Private,228860,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -61,Local-gov,35001,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2885,0,40,United-States,<=50K -36,Private,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -50,Self-emp-not-inc,95577,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,?,<=50K -47,Private,47343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,326886,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,178506,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,Private,248895,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,291494,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,88564,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,264700,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,35,United-States,<=50K -41,Private,49797,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,153064,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -82,?,42435,10th,6,Widowed,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Self-emp-not-inc,219021,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -46,Private,190487,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,28,Ecuador,<=50K -28,Private,451742,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,62124,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Federal-gov,97837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K -23,Private,152140,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,227214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Ecuador,<=50K -31,Private,142038,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K -36,Private,409189,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,136951,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -41,?,188436,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,<=50K -29,Private,39484,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,42,United-States,>50K -30,Private,178835,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -67,Private,92943,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,21,United-States,<=50K -46,Local-gov,126754,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -21,Local-gov,166827,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -60,Private,291904,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,216414,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -22,Private,206815,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K -39,Local-gov,177728,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,State-gov,31935,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,80,United-States,<=50K -29,Federal-gov,360527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,162184,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,337505,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -31,Self-emp-not-inc,145162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K -19,?,200790,12th,8,Married-civ-spouse,?,Other-relative,White,Female,15024,0,40,United-States,>50K -26,Federal-gov,48099,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,158002,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,Ecuador,<=50K -32,Private,290964,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K -46,Private,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -60,Private,282923,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -26,Private,157617,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -69,Private,130413,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,2346,0,15,United-States,<=50K -19,Private,189574,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Self-emp-not-inc,340001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,150904,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Private,86373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,251915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,328199,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K -38,Self-emp-not-inc,179824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,160264,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -77,?,172744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,118358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,169188,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -49,Private,143482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,53956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -56,Private,71388,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,157612,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K -52,Private,168553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,113635,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,169022,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -32,Private,147921,Prof-school,15,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,103573,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,136331,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -38,Private,186191,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,253190,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,305053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -22,Private,216867,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Mexico,<=50K -46,Private,174928,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -22,Private,200973,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -33,Federal-gov,293550,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,4064,0,40,United-States,<=50K -21,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,57,United-States,<=50K -40,Private,198452,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -25,Private,124111,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,224716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,156981,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,154210,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -24,Private,195770,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,196029,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K -50,Private,301024,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Private,104097,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,60,United-States,<=50K -22,?,196280,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,176025,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,263300,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,248708,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,149297,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -46,Private,209739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -68,Private,154897,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,285367,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,4416,0,28,United-States,<=50K -20,Private,219211,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,185177,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,22,United-States,<=50K -63,Private,213945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,Iran,>50K -52,Private,94391,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,257765,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -52,Self-emp-inc,334273,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -42,Private,386175,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -30,Private,373914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,100168,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,278304,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -64,Local-gov,142166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K -36,Private,192939,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -45,Private,194772,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -47,Federal-gov,382532,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -52,Private,23780,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -63,?,133166,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -52,Private,201783,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -21,Private,34568,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Private,202872,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,118365,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K -29,Self-emp-not-inc,181466,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,376016,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Federal-gov,325706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -23,Private,136824,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -17,Private,187879,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,245487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -38,Private,23892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -69,Local-gov,179813,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K -41,Private,172712,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,>50K -38,Private,233717,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,60,United-States,<=50K -23,Private,122346,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,248876,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -76,Private,199949,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,13,United-States,<=50K -31,Private,110643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,133935,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,145409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -25,Private,147804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -35,Local-gov,252217,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,106061,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -42,Private,188615,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,2231,50,Canada,>50K -34,Private,140011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -19,Private,160811,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,38,United-States,<=50K -32,Private,49398,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -27,Private,38599,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -78,Local-gov,87052,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K -37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -49,Self-emp-inc,93557,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Self-emp-not-inc,134130,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,122971,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -51,Private,249339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,146159,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,1668,31,United-States,<=50K -40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,68,United-States,>50K -35,Private,277347,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,46385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,90,United-States,>50K -19,Private,134664,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3781,0,40,United-States,<=50K -45,Private,256866,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -55,Private,197114,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,6,United-States,>50K -24,Private,236769,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Local-gov,188436,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,327723,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,169557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K -39,Self-emp-inc,31709,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -35,Private,174938,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,393768,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,76978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,39610,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -30,Private,242460,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,184378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -62,Private,153891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -63,Private,172740,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,305449,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,184011,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -19,Private,93518,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -17,Private,170455,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -22,Private,113936,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,130807,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,115358,7th-8th,4,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,15,United-States,<=50K -59,?,120617,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,195904,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,105813,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -19,?,356717,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -51,Private,102615,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K -17,Private,270587,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K -64,Private,166843,HS-grad,9,Widowed,Other-service,Other-relative,White,Male,0,0,28,United-States,<=50K -19,Private,188008,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -52,Private,95872,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,?,<=50K -49,Private,187563,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,318452,11th,7,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -61,Local-gov,34632,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,156163,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,?,<=50K -26,Private,102106,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,305129,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,202652,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -23,Private,162282,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -74,Private,159138,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -53,Self-emp-not-inc,35295,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K -90,Self-emp-not-inc,282095,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,138845,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -73,?,86709,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K -28,Private,334032,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,91857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -40,Self-emp-not-inc,173651,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,285200,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,35,United-States,>50K -25,Self-emp-not-inc,282631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,191320,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -30,Private,179446,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,State-gov,175023,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,37,United-States,<=50K -50,State-gov,172962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -78,?,83511,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K -47,Private,111994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K -35,State-gov,197495,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,?,167087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -44,Federal-gov,38434,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Federal-gov,339388,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Local-gov,226525,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K -37,Self-emp-not-inc,326400,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -18,Private,165532,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -38,Private,31603,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,138991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,408498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,280966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,246011,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K -70,Private,146628,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3471,0,33,United-States,<=50K -54,Private,320012,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,34402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,60,United-States,<=50K -22,Private,349198,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -48,Private,187715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -43,Private,221172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,447066,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K -38,Private,108140,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -60,Private,165441,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,254516,9th,5,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,37,United-States,<=50K -45,Private,240356,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -23,Private,39551,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Private,71898,Preschool,1,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,48,Philippines,<=50K -44,Private,159960,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,475028,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,205852,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,154342,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,153542,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,399531,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -21,?,231286,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,25,Jamaica,<=50K -19,Private,176806,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,195000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,29927,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,England,<=50K -38,Private,40319,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K -63,State-gov,89451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,State-gov,314052,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Private,151764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,118520,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,197860,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,221977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -43,Private,257780,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,261646,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,340260,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K -56,Self-emp-not-inc,233312,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -59,Self-emp-not-inc,70623,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,<=50K -27,Private,282313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,250939,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K -20,State-gov,340475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,348592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -50,Private,165050,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,210830,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,State-gov,108890,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,1831,0,38,United-States,<=50K -40,Private,202872,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -43,Local-gov,92374,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,>50K -61,Private,190955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -47,Self-emp-not-inc,177457,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,55291,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Self-emp-not-inc,226624,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,101950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,112561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -31,Self-emp-not-inc,114639,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,194141,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1617,40,United-States,<=50K -56,State-gov,118614,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,29658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,199336,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -56,Private,149686,9th,5,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,208165,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Local-gov,82880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,<=50K -35,Private,241001,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -37,Private,42044,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Local-gov,339681,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,United-States,<=50K -40,Private,195394,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -17,Private,289405,11th,7,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,12,United-States,<=50K -19,Private,238383,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,34377,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,383239,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -40,Private,64980,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,55,United-States,>50K -17,Local-gov,175587,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -18,Federal-gov,101709,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,15,Philippines,<=50K -34,Private,532379,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,260093,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,174426,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K -54,Local-gov,365049,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Mexico,<=50K -42,Federal-gov,198316,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,163174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -38,Private,153066,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -27,Local-gov,331046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,176073,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,193920,Masters,14,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K -41,Federal-gov,33487,Some-college,10,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -47,Private,189498,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,>50K -27,Private,303601,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,290661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,178749,Masters,14,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,404868,11th,7,Never-married,Sales,Own-child,Black,Female,0,1602,20,United-States,<=50K -27,Private,70034,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,40060,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,?,339099,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Self-emp-inc,210563,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K -18,Private,294387,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,191765,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -50,Federal-gov,20179,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,State-gov,291494,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,118712,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -21,Private,197200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,26358,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,290660,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K -36,Private,108320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4101,0,40,United-States,<=50K -45,Self-emp-inc,142719,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -61,?,270599,1st-4th,2,Widowed,?,Not-in-family,White,Female,0,0,18,Mexico,<=50K -24,Private,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -38,Private,26987,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,159908,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,277248,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Cuba,>50K -69,Private,36956,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K -23,Private,217961,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -33,Private,268571,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,220618,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -64,State-gov,194894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K -26,Private,108658,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,25265,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,63927,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -23,Local-gov,57711,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Germany,<=50K -39,Federal-gov,200968,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,45,United-States,>50K -19,Private,97189,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -35,Private,33975,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,115705,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -37,Private,170563,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -51,Private,284211,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -28,Private,135296,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,148207,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -17,Private,177629,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -24,State-gov,38151,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -35,Private,169672,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -41,Private,190885,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -26,Private,104746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K -24,Private,322674,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -29,Private,30070,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,106347,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,149368,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,30,United-States,<=50K -37,Local-gov,102936,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -59,Local-gov,53304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -56,Self-emp-inc,32316,12th,8,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,76767,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,39,United-States,>50K -43,Self-emp-not-inc,113211,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -41,Local-gov,103614,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -22,Private,306779,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -53,Private,34973,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,169324,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K -36,Private,66304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -37,State-gov,166744,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -58,Private,272902,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,119170,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,54861,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,32,United-States,<=50K -37,Self-emp-not-inc,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -40,Private,42703,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,436861,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,40,United-States,>50K -46,Private,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,?,<=50K -45,Self-emp-inc,180239,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K -30,Private,207668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -30,Self-emp-not-inc,67072,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,6849,0,60,United-States,<=50K -40,Self-emp-inc,57233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Private,334991,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,4934,0,51,United-States,>50K -49,Private,66385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K -56,Federal-gov,101847,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K -20,Private,38001,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,176050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,47,United-States,>50K -19,Private,82210,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,129814,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -24,Private,154835,HS-grad,9,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K -65,?,106161,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,176753,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -38,Private,446654,9th,5,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -32,Private,352089,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,37072,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Local-gov,197728,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,266135,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -46,Private,176684,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Local-gov,304246,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K -42,Private,255847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K -25,Private,470203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,334421,Bachelors,13,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,<=50K -42,Self-emp-inc,204033,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,<=50K -33,Local-gov,107215,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,?,208874,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,341760,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -42,State-gov,179151,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,98735,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -23,Private,138892,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -33,State-gov,292317,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,117381,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -41,Private,113597,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,16,United-States,<=50K -23,Private,71864,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Private,98227,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,122026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -68,Private,128472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -54,Private,339518,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -38,Private,172918,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,212705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,106615,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,2176,0,25,United-States,<=50K -20,Private,189148,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -27,?,175552,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -61,Private,160143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -33,Private,174789,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,314727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -60,Federal-gov,237317,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,4934,0,40,United-States,>50K -22,Private,235733,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,165034,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K -25,Private,69413,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,177072,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,98361,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,202720,9th,5,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Male,0,0,75,Haiti,<=50K -20,Private,209955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -36,Private,33887,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,191497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,192702,Masters,14,Never-married,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -20,Private,342599,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,204577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,327518,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -68,Local-gov,202699,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,6418,0,35,United-States,>50K -35,Private,207202,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,24243,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -31,Private,214235,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,65,United-States,<=50K -55,Private,98746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Canada,>50K -44,Private,127482,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -56,?,119254,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,171156,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,187479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,388156,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K -24,Private,122166,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Iran,<=50K -37,Private,349116,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K -81,Self-emp-inc,51646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2174,35,United-States,>50K -41,Private,210844,Some-college,10,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,188436,HS-grad,9,Separated,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,348059,Assoc-acdm,12,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -17,?,154938,11th,7,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -72,Local-gov,45612,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,16,United-States,<=50K -47,Private,209057,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -22,Private,176178,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -41,Private,82161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,67218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,175537,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -63,Private,114011,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K -34,Local-gov,90934,Assoc-voc,11,Divorced,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -43,Private,83756,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -23,Self-emp-not-inc,174714,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,?,204441,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K -35,Self-emp-not-inc,28987,9th,5,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,96,United-States,<=50K -19,Private,339123,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,34113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,240231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -23,State-gov,33551,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K -43,Private,409922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -17,Self-emp-inc,151999,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -41,Private,220460,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,189404,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K -42,Federal-gov,208470,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,213354,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -23,Private,86939,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,170148,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,28,United-States,<=50K -32,Private,202498,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Columbia,<=50K -23,Private,199586,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,255004,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -51,Self-emp-inc,139127,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -25,Private,106889,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -37,Private,130277,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,144144,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K -65,Self-emp-not-inc,223580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6514,0,40,United-States,>50K -40,Private,202692,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -43,Self-emp-inc,175715,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K -18,Private,79077,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K -35,Private,34996,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Self-emp-inc,677398,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -50,Private,96586,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,93664,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -65,Private,243569,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -42,Private,211450,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -27,State-gov,192257,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,2174,0,40,United-States,<=50K -22,Private,362623,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -17,?,387063,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -66,Self-emp-not-inc,262552,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,7,United-States,<=50K -38,Federal-gov,172571,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,148169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,235700,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,322025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,5,United-States,<=50K -54,Self-emp-inc,159219,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -45,Federal-gov,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,404661,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,149388,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,60414,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,?,214238,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,40,Mexico,<=50K -36,Private,289148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,231261,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,167599,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,25,United-States,<=50K -27,Private,347153,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,240686,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,31023,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,178843,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -48,Local-gov,273402,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,<=50K -30,Private,231413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,240063,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -46,Self-emp-not-inc,277946,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,196554,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -38,Private,127961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,208503,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -40,Private,38389,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,297531,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,291232,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,?,90270,Assoc-acdm,12,Married-civ-spouse,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -37,Private,38948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -62,Private,134768,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K -28,Private,162343,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -48,Local-gov,195949,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K -43,Private,134120,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,46,United-States,<=50K -30,Private,219110,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -37,Self-emp-inc,99452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -54,Private,117674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,178310,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Local-gov,111499,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -34,Private,509364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Local-gov,291529,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -62,Private,160143,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -32,Private,302845,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,<=50K -39,Private,202937,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,Poland,<=50K -61,Private,85194,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K -19,?,128453,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,28,United-States,<=50K -36,Private,73023,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,2202,0,40,United-States,<=50K -60,Private,389254,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,401241,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,4416,0,25,United-States,<=50K -37,Self-emp-not-inc,48063,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -28,Local-gov,84657,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,203203,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -38,Private,89814,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -22,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,103580,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,>50K -42,Private,22831,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,220871,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,210534,5th-6th,3,Separated,Adm-clerical,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -24,Private,182504,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -47,Private,142719,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,107314,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,State-gov,194828,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Local-gov,175754,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,60,United-States,<=50K -45,Private,183786,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,68896,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,?,<=50K -27,Private,62082,Bachelors,13,Never-married,Sales,Own-child,Other,Male,0,0,38,United-States,<=50K -31,Private,118966,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K -70,?,410980,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -31,Private,53042,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K -41,Local-gov,26669,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,187936,10th,6,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,50,United-States,<=50K -27,Private,111900,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,304570,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K -25,State-gov,152503,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,State-gov,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K -42,Private,184682,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,?,229997,Some-college,10,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,169249,HS-grad,9,Separated,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -29,Private,201101,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,396722,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,112507,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,193366,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -26,Private,131913,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,241962,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,61708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,6418,0,50,United-States,>50K -24,State-gov,208826,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,England,<=50K -64,Private,114994,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,238917,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -53,Private,30447,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,186117,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -34,Private,228873,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,102976,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -18,Private,40829,11th,7,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -34,Private,141058,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,62,Mexico,<=50K -24,Private,43323,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K -62,Self-emp-not-inc,136684,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -22,Private,356567,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,133292,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,66173,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -19,Private,60367,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K -46,Private,376789,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -33,Private,102130,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,?,256304,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,30,United-States,<=50K -31,Private,59469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,46677,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -24,Private,152540,Bachelors,13,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,216814,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -41,State-gov,253250,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -66,Self-emp-inc,102663,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,369648,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Local-gov,121055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -33,Self-emp-inc,139057,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,84,Taiwan,>50K -22,?,255969,12th,8,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Private,195914,Some-college,10,Never-married,Sales,Own-child,Black,Female,3418,0,30,United-States,<=50K -46,?,140782,HS-grad,9,Separated,?,Own-child,White,Female,0,0,36,United-States,<=50K -35,Private,129764,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,181054,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,98656,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,345253,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,2174,0,40,United-States,<=50K -24,Private,201603,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -21,Private,51047,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -34,Private,112115,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K -33,Self-emp-not-inc,105229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,218164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,155278,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,233786,11th,7,Separated,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K -24,Private,194654,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,399117,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,51259,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K -72,?,31327,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -35,Self-emp-not-inc,90406,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K -36,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,141069,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -58,Private,94345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,247187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,182701,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,12,Mexico,<=50K -30,Private,203034,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Local-gov,133969,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -25,Private,193773,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -53,Private,184176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,175431,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,136391,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -34,Private,412933,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,United-States,<=50K -23,Private,245361,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,208881,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,60,United-States,>50K -46,Private,422813,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -53,Private,146378,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,178948,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K -36,Self-emp-not-inc,67728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,147314,HS-grad,9,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -41,Private,445382,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,65,United-States,>50K -38,Private,234298,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,6849,0,60,United-States,<=50K -39,Private,120130,Some-college,10,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -78,?,74795,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -52,Private,163678,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,133756,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -18,Private,226956,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,?,<=50K -33,Private,206512,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Local-gov,153005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,?,188877,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,344916,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,State-gov,93225,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -33,State-gov,313729,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Private,354923,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -61,Self-emp-not-inc,201965,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,250807,11th,7,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,121568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,180632,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,105044,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,?,174073,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,104232,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -42,Private,111589,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,190525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,Germany,>50K -50,Private,138852,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,22,United-States,<=50K -22,Private,236427,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -42,?,184018,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,130369,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,201697,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,198210,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,106159,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,14344,0,48,United-States,>50K -29,Private,145011,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,36011,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,State-gov,54985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,236396,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -32,Private,37210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,Self-emp-not-inc,318106,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,116968,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,226608,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -31,State-gov,111843,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,201901,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -63,Private,164435,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,229516,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -45,Private,135525,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,163665,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K -27,Federal-gov,246372,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,170114,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,84,United-States,<=50K -28,Private,166320,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,State-gov,126701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -25,Private,486332,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -41,Private,220460,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,207258,9th,5,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -38,Private,31848,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-inc,113806,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,30,United-States,>50K -34,Private,225548,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K -34,Private,361978,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,1471,0,40,United-States,<=50K -41,Private,306496,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,Private,177420,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K -24,Private,137589,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,50648,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -26,Private,224045,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -64,Self-emp-not-inc,192695,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Canada,<=50K -37,Private,333651,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -39,Federal-gov,30916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -27,Private,106039,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -37,Private,280966,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -27,Private,238859,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,?,162312,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K -62,Private,200834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,157028,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -63,Private,427770,12th,8,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -22,Private,194031,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -63,Private,180911,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,37,United-States,>50K -34,Private,173524,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,329144,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K -47,Private,171807,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -27,Private,113866,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,193565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,243010,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,32,United-States,<=50K -55,Self-emp-inc,183884,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,172960,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K -45,Private,189123,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -66,?,222810,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K -31,State-gov,203572,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -39,Private,98975,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,50,United-States,>50K -39,Private,76417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,216999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,163460,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K -31,Private,266126,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,303565,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,Germany,<=50K -18,Private,426836,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -42,State-gov,148316,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -60,Private,185749,11th,7,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -51,Federal-gov,27166,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,193094,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,48,United-States,<=50K -18,Private,92864,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,225504,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,410351,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -28,Private,250135,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,36177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,312766,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -20,?,147031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -59,Private,192671,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -43,Private,209149,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,282398,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -19,?,383715,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,174503,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,106491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -53,Self-emp-inc,162381,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -55,State-gov,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -34,Private,205810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,1672,40,United-States,<=50K -32,Private,187815,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -54,Federal-gov,51048,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,?,203260,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,8,United-States,<=50K -42,Private,191712,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K -37,Private,60548,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -23,Private,256211,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,24,Vietnam,<=50K -39,Private,49308,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,125120,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K -33,Federal-gov,88913,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -41,Private,79797,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -19,Private,456736,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,2907,0,30,United-States,<=50K -60,Private,372838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,51664,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -55,Self-emp-not-inc,105582,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,2228,0,50,United-States,<=50K -40,Private,89226,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,100882,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K -31,Private,237317,9th,5,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,45,United-States,<=50K -33,Private,190772,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K -47,Private,244025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,56,Puerto-Rico,<=50K -58,Private,95428,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,198759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K -41,Private,249254,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,3674,0,42,United-States,<=50K -34,Private,213887,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,?,248113,Preschool,1,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,Mexico,<=50K -41,Self-emp-not-inc,233130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Mexico,<=50K -39,Self-emp-inc,167482,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Private,257824,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,184016,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,367819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -31,Self-emp-not-inc,271173,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,4650,0,40,United-States,<=50K -42,Private,345504,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,55237,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,100999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,231865,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,122889,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -24,Private,396099,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -17,Private,268276,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -64,?,50171,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -26,Private,112847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,57600,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,335704,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,206998,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -21,Private,205844,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K -63,Private,31389,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,12,United-States,<=50K -30,Private,291951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -65,Private,105586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,20051,0,40,United-States,>50K -58,Self-emp-inc,104333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Self-emp-not-inc,219718,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -35,Private,241306,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -35,Private,276552,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,312500,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,139212,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,252406,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,129775,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -45,Private,480717,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K -52,Private,155434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -28,Private,337424,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -54,Local-gov,173050,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -67,Local-gov,181220,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -40,Self-emp-not-inc,220821,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -49,Local-gov,37353,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,134444,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K -47,Local-gov,228372,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -36,Private,188571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,?,115513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5556,0,48,United-States,>50K -24,?,99829,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,66297,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -41,Private,77357,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,Private,187635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,105021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -73,?,139049,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,22,United-States,>50K -28,Private,231197,10th,6,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -30,Local-gov,159773,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -31,Federal-gov,166626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Private,123104,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,91819,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Local-gov,284843,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,594,0,60,United-States,<=50K -73,Local-gov,181902,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,Poland,>50K -49,Self-emp-not-inc,56841,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -49,Private,287647,Masters,14,Divorced,Sales,Not-in-family,White,Male,4787,0,45,United-States,>50K -56,Self-emp-not-inc,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -59,Private,67841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -35,Private,218955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,251730,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -29,Private,193152,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1408,40,United-States,<=50K -48,Private,187715,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,46,United-States,>50K -51,Self-emp-not-inc,141388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -18,Private,107277,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,183916,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -42,Private,236323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,265086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -36,Private,247600,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K -43,Private,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Italy,>50K -28,Private,70240,Masters,14,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K -39,Private,127772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,239781,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -65,Private,109351,9th,5,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K -47,Self-emp-inc,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Cuba,>50K -48,Self-emp-not-inc,115971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,388812,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K -35,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,103759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-inc,137940,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -24,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -56,State-gov,133728,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -37,Private,330826,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -19,Private,352849,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,1719,30,United-States,<=50K -28,Self-emp-not-inc,192838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -62,Private,138621,Assoc-voc,11,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K -47,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -36,Private,126896,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -24,Self-emp-not-inc,240160,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,112115,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -58,Private,185459,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,159849,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -62,Self-emp-not-inc,182998,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -27,Private,218781,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -34,?,330301,7th-8th,4,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,165815,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -25,?,178960,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,168479,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,184070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -26,Private,181597,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,205100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K -38,Private,129591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Never-worked,188535,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Self-emp-not-inc,192626,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,?,223665,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,84,United-States,<=50K -41,Private,413720,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,United-States,<=50K -28,Private,133043,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -34,Private,162814,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K -67,Private,195161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K -30,Private,115426,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,?,202480,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K -23,Private,162282,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -64,Self-emp-inc,181408,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -59,Private,268840,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,>50K -26,Private,427744,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,281138,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,State-gov,136216,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -31,Local-gov,150324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,?,184756,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -52,?,92968,Masters,14,Married-civ-spouse,?,Wife,White,Female,15024,0,40,United-States,>50K -35,Self-emp-not-inc,198841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,169100,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,36936,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K -35,Local-gov,230754,Masters,14,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,142712,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -18,Private,133055,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -20,Federal-gov,114365,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -76,Private,142535,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,6,United-States,<=50K -20,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,33397,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,209449,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,404547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,347653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -40,Self-emp-not-inc,45093,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,224566,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -17,Local-gov,340043,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -43,Private,183765,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,?,>50K -65,Local-gov,172646,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,459007,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K -24,Private,190457,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,122244,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,111746,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Portugal,<=50K -18,Private,41879,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,25,United-States,<=50K -18,Private,447882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Self-emp-inc,174855,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,117528,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,142725,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,80,United-States,>50K -56,Self-emp-not-inc,26716,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -44,Private,249332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Ecuador,<=50K -49,Private,24712,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -61,Private,339358,5th-6th,3,Married-civ-spouse,Farming-fishing,Other-relative,White,Female,0,0,45,Mexico,<=50K -67,Self-emp-not-inc,127543,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,80,United-States,<=50K -36,Private,165473,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,43354,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,241885,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,165472,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,219863,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,118235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K -42,Private,227397,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,239755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,State-gov,77651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,?,138938,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,3,United-States,<=50K -25,Private,114838,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,Italy,<=50K -58,State-gov,139736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K -30,Self-emp-not-inc,45427,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -18,Private,118983,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,203518,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -73,Private,198526,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,32,United-States,<=50K -22,Private,183970,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Local-gov,455399,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K -39,Private,49105,Assoc-voc,11,Separated,Adm-clerical,Own-child,White,Female,594,0,40,United-States,<=50K -42,Private,294431,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,115895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,142287,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,181755,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,?,40060,Some-college,10,Never-married,?,Own-child,White,Male,0,0,56,United-States,<=50K -20,State-gov,231931,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,73190,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -52,Self-emp-inc,210736,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,335997,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,38,United-States,>50K -31,Private,174201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -24,Private,224785,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,65,United-States,<=50K -24,Private,23438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,32080,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,93213,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -64,Self-emp-not-inc,149698,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,185041,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,55,United-States,<=50K -51,Private,673764,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K -33,Private,138667,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -65,Private,29276,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2538,0,50,United-States,<=50K -17,Private,347000,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -66,Self-emp-inc,74263,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,86,United-States,>50K -85,Self-emp-not-inc,166027,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,202084,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,88095,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,24,Mexico,<=50K -23,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,296462,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,?,220783,10th,6,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -30,State-gov,714597,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K -75,State-gov,113868,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,20,United-States,>50K -72,Private,284080,1st-4th,2,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -54,Private,257869,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,28,Columbia,<=50K -27,Private,221912,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,198096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -21,Private,63665,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -52,Private,150393,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -34,Private,175878,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Local-gov,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,30,United-States,<=50K -32,Self-emp-inc,281030,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,169324,9th,5,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Haiti,<=50K -28,Private,33374,11th,7,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -37,Private,82576,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,36,United-States,>50K -60,Local-gov,227311,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,483450,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -37,Private,218249,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,54772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -61,Self-emp-not-inc,224784,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,90,United-States,<=50K -57,Self-emp-inc,199768,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,30,United-States,>50K -44,Self-emp-not-inc,124692,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -42,Private,219155,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -30,?,335124,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -29,Private,115677,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K -49,Private,160647,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -57,Federal-gov,62020,Prof-school,15,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,>50K -33,Private,415706,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -38,Private,274907,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -21,Private,241523,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,268524,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -34,Self-emp-not-inc,136204,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,32,United-States,>50K -27,Private,305647,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,123773,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -73,?,191394,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,55608,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,154950,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,226789,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,<=50K -24,Self-emp-not-inc,322931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K -54,Private,138847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -41,Private,126850,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Private,186815,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -44,Self-emp-not-inc,172479,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,60,United-States,>50K -57,Private,548256,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,40,United-States,>50K -36,Private,174242,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,Private,150817,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Local-gov,285865,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,217545,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K -42,Self-emp-inc,202466,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K -54,Private,295525,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,384236,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -73,?,123345,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,65,United-States,<=50K -61,Private,142988,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -59,Private,160631,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -49,Private,189462,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,253262,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -90,Private,115306,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,232308,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -42,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -42,Private,99203,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -53,Private,249347,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Cuba,>50K -35,Private,198841,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -30,Private,235639,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -74,Private,97167,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K -44,Federal-gov,201435,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -50,Local-gov,218382,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,49249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,208630,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1741,38,United-States,<=50K -34,Private,162442,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -27,?,182386,11th,7,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K -49,Private,170871,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,344176,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K -28,?,375703,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,1721,40,United-States,<=50K -41,Private,58880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,10,United-States,>50K -62,Self-emp-not-inc,192236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -59,Self-emp-not-inc,31137,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -33,Self-emp-not-inc,188246,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,60,United-States,<=50K -45,Private,167159,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,190910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,125527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -66,Self-emp-not-inc,274451,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,>50K -38,Local-gov,316470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,144125,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,68493,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -35,Private,105138,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -55,Private,196126,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -32,Private,252752,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -24,Private,279041,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,179708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -49,Private,204629,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,223763,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -75,Private,199826,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,36,United-States,>50K -31,Private,188798,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -56,Local-gov,237546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -30,Private,58597,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,44,United-States,<=50K -33,Private,134886,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -50,Federal-gov,183611,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,121228,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,50,United-States,<=50K -38,Self-emp-not-inc,114835,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K -37,Private,187311,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Federal-gov,186256,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -20,?,38455,HS-grad,9,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,219199,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,335549,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K -19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,229732,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,116197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,359397,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K -37,Private,182668,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,144169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,24562,Bachelors,13,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K -35,Private,347491,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -90,Private,221832,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -52,Self-emp-inc,177727,10th,6,Married-civ-spouse,Sales,Husband,White,Male,4064,0,45,United-States,<=50K -19,Private,136405,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,193961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -29,Private,349154,10th,6,Separated,Farming-fishing,Unmarried,White,Female,0,0,40,Guatemala,<=50K -40,Private,192344,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,294789,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -28,?,198393,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,165743,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,282579,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K -22,Private,118235,HS-grad,9,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K -28,Private,122540,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,123374,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,Private,281209,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -22,?,219233,HS-grad,9,Never-married,?,Own-child,Black,Male,0,1602,30,United-States,<=50K -47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,89813,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,254304,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -47,Self-emp-not-inc,355978,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,45,United-States,<=50K -52,Private,195635,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,38,United-States,<=50K -38,Private,96185,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -30,Private,100734,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,Greece,>50K -33,Local-gov,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,?,174525,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3942,0,40,?,<=50K -26,Private,112847,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,264554,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -35,Private,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -30,Private,392812,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Germany,<=50K -28,State-gov,37250,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K -42,State-gov,214781,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,1876,38,United-States,<=50K -28,?,268222,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Local-gov,433602,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,38,United-States,<=50K -39,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,177304,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,Private,379798,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,Private,203482,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,114754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,145434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,State-gov,884434,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,30673,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K -56,Private,179127,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Italy,<=50K -25,Private,335376,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -32,Private,303942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,277772,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,270655,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -37,Private,177895,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,5013,0,40,United-States,<=50K -56,Self-emp-not-inc,140558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,291374,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,193490,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,231238,9th,5,Separated,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K -51,Private,251487,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -45,Private,168262,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,148437,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,245572,9th,5,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,Private,168680,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,119944,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,309932,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,240914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,160808,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,221480,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K -43,Private,183342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,88579,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -22,Private,34616,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -20,Private,34446,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,?,252752,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K -20,Private,231231,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,39606,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,105381,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,192779,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -26,Private,192022,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,100722,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,5,United-States,<=50K -61,Private,32209,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K -31,Private,168782,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,State-gov,193241,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,40,United-States,<=50K -41,Self-emp-not-inc,209344,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,40,Cuba,<=50K -51,Self-emp-not-inc,192654,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -37,Private,166339,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,174717,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -34,State-gov,216283,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -38,Federal-gov,103323,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -25,Private,75821,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -63,Federal-gov,160473,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,35448,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -30,Private,311696,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -33,Private,184306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,174329,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -34,Self-emp-not-inc,77209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -35,Self-emp-not-inc,280570,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,299353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,97136,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K -51,Private,194995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,72055,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,204829,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,?,177273,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K -56,Private,269681,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,35,United-States,<=50K -46,Private,189680,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,130057,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -27,Private,86681,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,66619,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -46,Private,234690,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,182643,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,9,United-States,<=50K -24,Private,456367,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,259505,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,151910,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,157786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -18,Private,43272,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -20,Local-gov,308654,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -42,Private,46221,Doctorate,16,Married-spouse-absent,Other-service,Not-in-family,White,Male,27828,0,60,?,>50K -44,Self-emp-not-inc,70884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -45,Federal-gov,102569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,242912,Some-college,10,Never-married,Other-service,Own-child,White,Female,4650,0,40,United-States,<=50K -41,Private,207779,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,187240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K -36,Federal-gov,192150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,58065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,191324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -58,Self-emp-not-inc,157786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,?,320811,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,243425,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,50,Peru,<=50K -30,Private,509364,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,>50K -46,Local-gov,215895,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -52,Private,320877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -46,Local-gov,93557,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -61,Self-emp-not-inc,352448,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,176900,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -25,Private,223426,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,65,Canada,>50K -35,Private,210945,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,38,United-States,>50K -41,Private,112763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,2597,0,40,United-States,<=50K -24,Private,300008,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,187031,Masters,14,Never-married,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -49,Private,167523,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,State-gov,148171,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,France,>50K -46,Self-emp-inc,125892,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -56,Private,231781,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,114942,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,>50K -45,Private,99971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -19,Self-emp-not-inc,140985,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,England,<=50K -36,Local-gov,404661,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -46,Private,102597,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -21,?,195808,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -47,Private,341814,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -54,Self-emp-not-inc,242606,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -31,Private,328734,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,2238,40,United-States,<=50K -27,Private,42696,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -48,State-gov,104542,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,165007,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,42,United-States,>50K -26,Private,165235,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K -22,Private,124483,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,India,<=50K -21,Private,116968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K -27,State-gov,291196,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Federal-gov,81232,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,117210,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Greece,<=50K -24,Private,170070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K -47,Self-emp-inc,206947,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,67,United-States,<=50K -61,Private,248448,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,132247,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -45,Private,162494,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K -48,Private,199735,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,44,Germany,<=50K -51,Private,96609,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,29962,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -43,Local-gov,101563,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,166809,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -49,Self-emp-inc,119565,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Private,141272,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,77313,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,313181,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Male,0,0,38,United-States,<=50K -23,Private,148709,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -45,Self-emp-inc,214690,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,204241,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,169269,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,Puerto-Rico,>50K -47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,275691,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,39,United-States,<=50K -29,Private,131088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -39,Private,257942,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -26,?,137951,10th,6,Separated,?,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K -30,Private,308812,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Private,361487,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,227070,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K -38,Self-emp-inc,71009,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,7298,0,40,?,>50K -66,Private,126511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,220168,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,25,Jamaica,<=50K -55,Private,220262,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,268282,7th-8th,4,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -53,Private,548580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -58,Private,100303,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,218785,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,255474,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,186573,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,46,United-States,<=50K -67,Self-emp-inc,22313,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -31,Private,128220,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,104509,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,377701,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K -38,Private,175360,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,2559,90,United-States,>50K -37,Local-gov,347136,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -27,Private,184477,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,State-gov,420526,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -39,State-gov,152307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -37,Private,259089,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,241367,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,401762,11th,7,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,35459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K -52,Private,35598,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -68,Private,116993,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -35,Private,312232,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Self-emp-inc,147869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,414910,7th-8th,4,Divorced,Sales,Not-in-family,Other,Female,0,0,35,United-States,<=50K -29,Federal-gov,124953,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -44,Local-gov,264016,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -38,Private,27408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Local-gov,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,243587,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,Cuba,<=50K -72,?,272425,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,4,United-States,<=50K -33,Private,218407,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,Columbia,>50K -17,Private,507492,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,Guatemala,<=50K -41,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -42,Private,196626,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,271466,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Self-emp-inc,162327,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,269300,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K -26,Private,89648,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,141040,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -48,Private,187563,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,>50K -46,Private,138370,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1651,40,China,<=50K -37,Private,127918,Some-college,10,Never-married,Transport-moving,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K -21,Local-gov,185279,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,85423,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -56,Local-gov,216851,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,129042,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,159021,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K -47,Private,176140,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K -32,Private,173449,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,41099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Self-emp-not-inc,189346,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2202,0,50,United-States,<=50K -65,Private,138247,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,22,United-States,<=50K -53,Private,226135,9th,5,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -74,?,95630,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -17,Private,147411,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,?,175032,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,227325,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Scotland,<=50K -38,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,183739,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Female,0,2002,40,United-States,<=50K -30,Private,293512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,39590,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K -31,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,148645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -61,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,30,United-States,>50K -47,Private,213304,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K -17,?,141445,9th,5,Never-married,?,Own-child,White,Male,0,0,5,United-States,<=50K -29,Private,187188,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -36,Self-emp-not-inc,186934,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,157332,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K -37,Local-gov,484475,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,United-States,<=50K -40,Private,353432,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,391349,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,Private,190385,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Federal-gov,232997,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -22,Private,190916,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -63,Private,117681,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -38,Local-gov,331609,Some-college,10,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,47,United-States,<=50K -36,?,53606,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,3908,0,8,United-States,<=50K -44,State-gov,271807,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,16,United-States,<=50K -26,Private,200681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,153976,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,57855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -67,?,407618,9th,5,Divorced,?,Not-in-family,White,Female,2050,0,40,United-States,<=50K -50,Private,93730,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -40,Local-gov,24763,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,6849,0,40,United-States,<=50K -47,Local-gov,148576,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,194590,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -34,Self-emp-not-inc,276221,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,150336,Some-college,10,Divorced,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -21,Private,263641,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -62,Private,271431,9th,5,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,42,United-States,<=50K -37,Private,360743,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -24,Private,149342,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -27,Private,107458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,199590,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -37,Private,538443,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K -24,Private,186648,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -38,Private,289448,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,>50K -25,Private,61956,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,45,United-States,<=50K -44,Private,185602,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,219288,7th-8th,4,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,103986,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,185385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K -57,Self-emp-not-inc,253914,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K -31,Private,231569,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,50,United-States,<=50K -38,Private,172571,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,54,United-States,>50K -51,Private,237729,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,224763,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -35,Private,348771,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K -23,Private,216811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,16,United-States,<=50K -36,Private,73023,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -40,Self-emp-not-inc,172560,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,209440,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,55,United-States,<=50K -28,Private,258594,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,70604,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -20,?,230955,12th,8,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -71,Private,159722,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -31,Federal-gov,351141,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -25,?,34307,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,406641,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -59,Self-emp-inc,122390,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -20,?,244689,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -34,Private,209900,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,120067,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-not-inc,323790,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K -22,Private,131230,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -30,State-gov,169496,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,276851,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,1762,40,United-States,<=50K -22,Private,237498,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,250354,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K -54,Local-gov,166398,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -53,Private,231919,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,217083,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -27,Private,247507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,163234,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -52,Self-emp-not-inc,73134,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Private,283174,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,126569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -34,Private,108454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -79,?,144533,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,30,United-States,<=50K -30,Private,149568,9th,5,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K -34,Private,293017,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,State-gov,266565,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K -20,Private,279763,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,25,United-States,<=50K -50,Local-gov,173224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -68,Private,176468,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K -32,Self-emp-not-inc,178109,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,221480,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,Ecuador,<=50K -57,Private,176904,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,62346,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -62,Private,115771,Assoc-voc,11,Widowed,Sales,Unmarried,White,Female,0,0,33,United-States,<=50K -25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -23,Private,143032,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -59,Private,212783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -39,Private,91996,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,197058,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,117381,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,238342,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,42,United-States,>50K -46,Private,364548,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -17,?,297117,11th,7,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,159724,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,187749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -28,Private,142443,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,186415,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K -44,Private,191149,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K -39,Private,99065,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,39,United-States,<=50K -65,Private,172906,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-inc,204247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Private,30908,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,264129,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,145762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,101510,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -39,Private,325374,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,221757,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,376455,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -51,Self-emp-inc,304955,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -80,Private,202483,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -40,Private,144928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K -46,Private,117849,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -39,Private,179481,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,204908,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,36,United-States,<=50K -46,Self-emp-not-inc,236852,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -17,Private,394176,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,267034,11th,7,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,Haiti,<=50K -19,Private,282698,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,80,United-States,<=50K -37,Private,19899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -34,Private,49469,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,360884,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K -55,?,270228,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,7688,0,40,United-States,>50K -33,Private,254221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -24,Private,190015,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,53271,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,38,United-States,<=50K -39,Private,114591,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,239995,11th,7,Never-married,Sales,Other-relative,White,Male,0,0,16,United-States,<=50K -42,Private,27444,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -53,Private,30244,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -41,Private,116797,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -28,Private,108574,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -18,Private,263024,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,?,395567,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,197474,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,216845,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -29,Self-emp-not-inc,404998,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K -19,Private,391403,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,108574,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,108670,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -42,Private,151408,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,50,United-States,>50K -47,Self-emp-inc,193960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -22,Private,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,34918,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,217961,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1719,30,United-States,<=50K -65,Private,205309,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K -90,?,39824,HS-grad,9,Widowed,?,Not-in-family,White,Male,401,0,4,United-States,<=50K -30,Local-gov,200892,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,227615,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -40,Private,257364,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,189461,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K -37,Private,191524,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K -58,Private,147098,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -21,Private,230229,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -22,Private,88050,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,6,United-States,<=50K -25,Private,179462,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,111696,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1974,40,United-States,<=50K -28,Private,301654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,146834,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,188888,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1340,40,United-States,<=50K -18,Private,334676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,189102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -77,Private,189173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -33,Private,156464,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,167536,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,435638,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,334679,Masters,14,Separated,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,42,India,<=50K -48,Self-emp-inc,51579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -22,Private,276494,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,35406,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -46,Private,85109,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K -67,?,81761,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -43,Self-emp-inc,150533,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-not-inc,403550,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -59,Self-emp-not-inc,140957,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,>50K -42,Private,201505,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -46,Private,312088,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,38,United-States,>50K -34,Private,154874,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,4416,0,30,United-States,<=50K -23,Federal-gov,320294,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,193537,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Dominican-Republic,<=50K -22,Private,110371,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -17,Private,226503,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,228452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,50163,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,311259,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,267790,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -70,Self-emp-not-inc,177806,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,224541,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Self-emp-inc,98350,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -42,Private,225193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,158284,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -68,Private,168794,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -24,Private,114230,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -57,Federal-gov,310320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -26,Self-emp-not-inc,86646,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -72,Self-emp-not-inc,243769,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1429,20,United-States,<=50K -64,Self-emp-inc,307786,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -48,Local-gov,148121,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -22,Private,166371,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,?,<=50K -26,Private,188767,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,104647,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,359327,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K -47,Private,268022,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -45,Private,324655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -75,?,33673,Masters,14,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,26,United-States,<=50K -24,Private,330571,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -46,State-gov,107231,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K -24,Private,116788,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,163998,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K -30,Local-gov,169020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,367216,Some-college,10,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K -40,Private,223548,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -59,Private,217747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,92609,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -62,State-gov,254890,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,213416,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -33,Self-emp-not-inc,249249,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -29,Private,150861,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K -40,Private,206066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,?,200904,Assoc-acdm,12,Married-civ-spouse,?,Wife,Black,Female,0,0,21,Haiti,<=50K -60,Private,166386,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,30,Hong,<=50K -33,Private,269705,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,101266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -27,Private,168138,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,186788,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,State-gov,183285,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,36,United-States,<=50K -33,Private,159737,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,170277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Self-emp-inc,171615,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -23,Private,182812,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -38,Private,179481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K -27,Private,89598,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -55,Private,129762,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,439263,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,Peru,<=50K -46,Private,65353,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,3325,0,55,United-States,<=50K -44,State-gov,101603,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,212120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,238802,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,23778,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,188682,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,136331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,194336,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -32,Private,178835,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K -39,Self-emp-inc,336226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K -45,Federal-gov,358242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -25,?,30840,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,Germany,<=50K -27,Private,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,377850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -27,Federal-gov,188343,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,State-gov,33142,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,84,United-States,<=50K -28,Private,220656,11th,7,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,>50K -38,Private,367260,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,313873,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -53,Private,200190,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -60,Self-emp-inc,160062,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -24,Private,316438,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -25,Local-gov,58441,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,88528,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K -48,Private,148549,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,State-gov,132145,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -39,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -70,Private,132670,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,9386,0,4,United-States,>50K -44,Self-emp-not-inc,185057,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K -54,Self-emp-inc,129432,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -50,Private,193720,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -23,Private,199070,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,16,United-States,<=50K -22,Private,58916,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Federal-gov,207887,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K -42,Self-emp-not-inc,40024,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,66,United-States,<=50K -62,?,197286,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,374790,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,33304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -18,Private,323810,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -45,Private,96100,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,194590,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,25,United-States,<=50K -25,Self-emp-not-inc,189027,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -58,Private,37345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,311764,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -32,Self-emp-inc,78530,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -30,Self-emp-inc,117570,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -28,Private,109001,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,112731,HS-grad,9,Divorced,Other-service,Not-in-family,Other,Female,0,0,40,Dominican-Republic,<=50K -29,Private,169815,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -59,Private,530099,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K -60,?,141221,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2163,25,South,<=50K -39,Private,346478,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,177216,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,247750,HS-grad,9,Widowed,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,Private,37894,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -63,Self-emp-not-inc,28612,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -23,Private,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -19,Private,43937,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -52,Private,202956,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,173585,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,Peru,<=50K -48,Private,107231,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -31,Federal-gov,40909,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,199655,Masters,14,Divorced,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K -25,Private,189897,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,369463,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Local-gov,113337,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -49,Federal-gov,586657,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,258633,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,?,<=50K -29,Private,35314,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -43,Private,124692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,33678,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4508,0,35,United-States,<=50K -37,Private,409189,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,Mexico,<=50K -34,Private,222130,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,State-gov,41115,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -47,Federal-gov,282830,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -32,Private,34104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K -32,Private,167990,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K -50,Private,138514,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,396270,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -38,Self-emp-not-inc,334366,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,15,United-States,<=50K -29,Private,135296,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,137875,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-not-inc,151504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -39,Private,203070,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,49,United-States,<=50K -38,Private,51100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K -27,Private,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -56,Private,157749,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -22,Private,366139,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -31,Local-gov,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K -67,?,92061,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,8,United-States,<=50K -40,Private,202565,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -28,State-gov,189765,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -53,Private,92430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,181091,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Iran,>50K -39,Private,393480,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,159449,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,262645,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,179875,11th,7,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K -35,Local-gov,211073,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,61,United-States,>50K -43,Private,180599,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -38,Private,246463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,204629,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,287357,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,186203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,311269,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,200802,Assoc-voc,11,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,181814,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -19,?,252292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,38819,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -57,Self-emp-not-inc,200316,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,320744,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,45,United-States,<=50K -26,Private,260614,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,438176,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -44,Private,206686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,103260,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,>50K -44,Private,118550,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -40,Private,201495,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -59,Private,246262,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,273876,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,117109,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,24,United-States,<=50K -55,Private,176317,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -71,Local-gov,365996,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K -39,State-gov,305541,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -45,Federal-gov,90533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Local-gov,56482,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,50,United-States,>50K -26,?,39640,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,138994,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -35,Private,90406,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,187052,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -32,Private,183801,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,79712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K -39,Private,165186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -52,Self-emp-not-inc,138611,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K -36,Private,300829,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -45,Private,170099,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,128047,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -31,Private,46807,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,159589,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K -59,Self-emp-not-inc,132925,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,195808,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,112820,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,2463,0,40,United-States,<=50K -25,Private,155275,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,147171,Some-college,10,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Trinadad&Tobago,<=50K -58,Private,268295,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -79,Private,149912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,311551,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -47,Private,26950,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,6,United-States,<=50K -17,Private,202521,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -44,Local-gov,58124,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -56,Self-emp-not-inc,94156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -32,Private,178835,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,117584,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,20,United-States,<=50K -18,Private,296090,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -17,Private,169658,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K -49,State-gov,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -44,Private,279183,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,40,United-States,>50K -47,Local-gov,174533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,?,141807,HS-grad,9,Never-married,?,Not-in-family,White,Male,13550,0,40,United-States,>50K -38,Private,179488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -40,Private,341204,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,1831,0,30,United-States,<=50K -44,Federal-gov,38321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,209109,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,216256,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,137651,Some-college,10,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -63,?,231777,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -39,?,110342,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K -34,Private,241360,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -77,?,28678,Masters,14,Married-civ-spouse,?,Husband,White,Male,9386,0,6,United-States,>50K -21,Private,191444,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,210165,9th,5,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,60331,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -32,Local-gov,159187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -40,Private,179069,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,218678,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K -28,Private,133937,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,55,United-States,>50K -58,Private,193374,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Male,0,1719,40,United-States,<=50K -35,Private,158046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,70,United-States,<=50K -37,Private,178100,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -53,Private,290882,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,194848,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,178326,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,34307,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,347530,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -28,Private,183445,HS-grad,9,Separated,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K -25,Private,297154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2407,0,40,United-States,<=50K -49,Private,28334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Private,203836,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Local-gov,33943,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K -37,Private,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,28738,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Self-emp-not-inc,343631,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K -52,Private,310045,9th,5,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,30,China,<=50K -27,Private,225291,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,167482,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,454585,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K -69,?,259323,Prof-school,15,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -59,Self-emp-not-inc,182142,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,167159,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,246449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -48,Private,191389,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Private,53470,Bachelors,13,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -19,?,249147,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -40,Self-emp-not-inc,173716,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -21,Private,334113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,246862,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Italy,>50K -17,Private,181580,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -26,Self-emp-not-inc,177858,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K -20,Private,48121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,283896,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,39986,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,207637,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -19,Private,29798,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -32,Private,213179,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -27,Private,110931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,124569,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,338740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,31095,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,215503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K -31,Local-gov,190401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,28291,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,127303,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -18,Self-emp-inc,119422,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,30,India,<=50K -53,Self-emp-not-inc,138022,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,289982,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,10,El-Salvador,<=50K -20,Private,204160,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -18,?,245274,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -44,Self-emp-not-inc,296982,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K -22,Private,172496,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Poland,<=50K -42,State-gov,160369,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Private,260938,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,408537,9th,5,Divorced,Craft-repair,Unmarried,White,Female,99999,0,37,United-States,>50K -43,Private,91317,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -42,?,257780,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -20,Private,117767,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -61,?,188172,Doctorate,16,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -28,Private,109001,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -25,Local-gov,311603,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Local-gov,204277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,557853,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,32,United-States,<=50K -62,Private,101582,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,35,United-States,<=50K -26,Self-emp-not-inc,109609,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Private,107399,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Local-gov,235109,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -55,Local-gov,219775,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -39,Self-emp-not-inc,200863,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -54,Local-gov,137691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,215384,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,55,United-States,<=50K -36,Private,184655,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,48,United-States,<=50K -19,Private,214935,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,202222,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,116789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,313873,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -47,Self-emp-not-inc,276087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,Greece,<=50K -58,Private,145574,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,129573,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,?,>50K -22,Private,117779,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,152810,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,215476,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K -78,Self-emp-inc,212660,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -31,Private,651396,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1594,30,United-States,<=50K -29,Local-gov,251854,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -73,Private,88594,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Self-emp-not-inc,270495,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K -30,Private,175690,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,70894,Assoc-acdm,12,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Local-gov,194515,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,37,United-States,<=50K -30,?,33811,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,99,United-States,<=50K -19,Private,185097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K -31,Private,164569,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K -36,Local-gov,135786,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -61,Private,87032,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,191385,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -17,Private,225507,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,15,United-States,<=50K -21,Private,285127,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,356015,HS-grad,9,Separated,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,Hong,<=50K -56,Private,197114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -25,Self-emp-inc,148888,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Self-emp-inc,117158,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -23,Private,183327,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,1594,20,United-States,<=50K -37,Local-gov,272471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,176972,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,352612,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,111499,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,52327,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Iran,>50K -35,Private,119098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -29,Private,207473,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -53,Private,239155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,?,303579,Some-college,10,Never-married,?,Own-child,White,Male,0,1602,8,United-States,<=50K -29,Private,183639,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,97,United-States,<=50K -23,Private,113466,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,300679,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,421837,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,Mexico,>50K -57,Private,102442,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,342642,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,308764,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,64506,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Private,223751,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,193190,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,209034,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,136480,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Self-emp-not-inc,322691,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,55,United-States,>50K -17,?,103810,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,234767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -21,Private,180060,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,116901,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -32,Self-emp-not-inc,38158,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,70,United-States,>50K -41,Private,265932,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -47,Local-gov,285060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,41,United-States,>50K -18,Private,138557,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,142182,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -25,Private,104746,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,16,United-States,<=50K -20,Private,138994,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -47,Private,141511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -30,Private,378009,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,181280,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,103277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -34,Private,242984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -59,Private,261816,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,Outlying-US(Guam-USVI-etc),<=50K -51,Private,253357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,116531,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,390368,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,99,United-States,>50K -22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K -20,Private,211968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,64874,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -25,Self-emp-not-inc,217030,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -55,Local-gov,31365,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -29,Private,149943,Some-college,10,Never-married,Other-service,Not-in-family,Other,Male,0,1590,40,?,<=50K -65,Self-emp-not-inc,135517,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,246226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Federal-gov,173754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,201122,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -36,State-gov,25806,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -59,Private,115414,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,213692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -52,Private,137658,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -33,Private,36539,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -38,Federal-gov,190174,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,86332,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,4064,0,55,United-States,<=50K -40,Private,225660,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -53,Private,152657,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,147258,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -41,Private,168071,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -51,?,29937,HS-grad,9,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -54,Private,327769,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,145917,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -64,Private,64544,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -24,Private,508548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,242912,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -40,Private,120277,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,138088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,199143,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,296066,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -26,Private,247196,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -55,Private,106498,10th,6,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,35,United-States,<=50K -23,?,38455,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,11,United-States,<=50K -40,Private,144594,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K -25,Private,177423,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,4416,0,45,Philippines,<=50K -38,Private,133454,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,172076,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -33,Private,111363,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -54,Private,308087,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,18,United-States,>50K -44,Self-emp-not-inc,115896,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,344920,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K -21,Private,52753,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,40,United-States,<=50K -26,Private,114483,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,106175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,75,United-States,>50K -40,Local-gov,112362,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,179671,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,214288,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,80,United-States,<=50K -18,Private,95917,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,Canada,<=50K -53,Private,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -19,Private,418176,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,32,United-States,<=50K -40,Private,194360,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,109133,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,?,177733,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Local-gov,207685,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,33,United-States,>50K -42,Private,340885,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -65,?,79272,Some-college,10,Widowed,?,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K -42,Private,145711,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -51,Private,157043,11th,7,Widowed,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,291181,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,28,Mexico,<=50K -38,Private,205493,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K -33,Private,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K -19,Private,501144,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -38,Private,32271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,285102,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K -31,Private,420749,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,114758,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -35,Private,24126,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,195161,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,?,<=50K -51,Private,204322,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -53,Private,151411,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,183175,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,100904,Some-college,10,Separated,Other-service,Unmarried,Other,Female,0,0,70,United-States,<=50K -31,Private,193215,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -52,Private,111192,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,?,412156,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -18,Private,336508,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -51,Private,233149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -49,Federal-gov,105959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,>50K -45,Private,247120,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Female,0,0,50,?,<=50K -43,Private,401623,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,Jamaica,>50K -30,Self-emp-inc,84119,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,43,United-States,<=50K -36,Private,276276,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,209213,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K -60,Private,116707,11th,7,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,270142,Assoc-voc,11,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -48,Local-gov,493862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7298,0,38,United-States,>50K -31,Private,143083,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -32,Private,262153,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -20,Private,246250,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,191703,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -53,Self-emp-not-inc,237729,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3411,0,65,United-States,<=50K -52,Without-pay,198262,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -35,Self-emp-not-inc,454915,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,184833,10th,6,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,148315,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Local-gov,137629,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -58,State-gov,48433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,115215,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -45,Private,1366120,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K -62,Federal-gov,224277,Some-college,10,Widowed,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,305147,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,402124,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,364657,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -27,Private,177761,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,50,United-States,<=50K -52,Private,25826,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,47,United-States,>50K -51,Private,190678,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K -35,Private,192923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,40,United-States,<=50K -34,Private,105493,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,174789,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K -41,Local-gov,336571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,105138,HS-grad,9,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -46,Private,265266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -57,Self-emp-not-inc,73309,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,>50K -27,Self-emp-not-inc,189030,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,117767,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,56774,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -40,Private,160369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,45,United-States,>50K -35,Private,187046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,450695,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -42,Private,170230,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -60,Private,216574,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -65,Private,255386,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -30,Private,169002,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,Private,175958,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,193061,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Private,187067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,Canada,<=50K -37,Private,268598,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -49,Private,169092,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,?,<=50K -31,Local-gov,331126,Bachelors,13,Never-married,Protective-serv,Own-child,Black,Male,0,0,48,United-States,<=50K -26,Private,177147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,6849,0,65,United-States,<=50K -52,Private,182907,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -46,Private,45857,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -26,Private,379246,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,166894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -32,State-gov,246282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,2961,0,99,?,<=50K -43,Private,216697,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,32,United-States,<=50K -59,Private,35411,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,360393,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -47,Private,243904,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Honduras,<=50K -20,Private,163003,HS-grad,9,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -36,Private,239755,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,67320,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -37,Private,224947,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,118686,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -69,Self-emp-not-inc,150080,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,203277,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -46,Private,224582,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,52,United-States,<=50K -24,Private,161415,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -43,?,396116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,284317,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,189590,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,144688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,50,United-States,<=50K -60,Private,82388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -51,Self-emp-inc,213296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -51,Self-emp-not-inc,290290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -35,Private,139770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,6849,0,40,United-States,<=50K -41,Private,67339,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -42,Self-emp-not-inc,247422,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,119409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Columbia,<=50K -62,Self-emp-inc,164616,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -32,Private,296466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,34572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,183523,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -37,Private,216149,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,204145,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -69,?,262352,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -21,Private,344492,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -47,Federal-gov,168109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K -18,Private,123714,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,61040,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,36,United-States,>50K -19,Private,119964,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,15,United-States,<=50K -34,Private,340665,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,2057,35,United-States,<=50K -22,Private,202153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,199266,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,348960,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,408328,Preschool,1,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -52,Private,99736,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K -30,Self-emp-inc,178383,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,70,United-States,<=50K -55,State-gov,256335,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K -44,Private,172837,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,52,United-States,>50K -64,Private,132519,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K -37,Private,201141,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -56,Self-emp-not-inc,110238,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -29,Self-emp-not-inc,184710,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,213720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,192039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -30,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,212448,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -51,?,172175,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,2824,40,United-States,>50K -19,Self-emp-not-inc,139278,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,175232,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,241185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,259014,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -64,Private,268965,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,22,United-States,<=50K -19,Private,240841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,119170,11th,7,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -46,Self-emp-inc,168796,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,81145,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -77,Self-emp-not-inc,71676,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,1944,1,United-States,<=50K -33,Private,418645,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,180899,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,1755,45,United-States,>50K -36,Private,106964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,106118,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -47,Private,241832,9th,5,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -26,Private,305304,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,State-gov,194954,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -28,Private,173649,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K -27,Private,258102,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K -52,Self-emp-not-inc,42984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -39,Private,32146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,300168,12th,8,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -53,Private,47396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,174491,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,238980,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,77266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,257735,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,187454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,197997,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,102865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,93977,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,93585,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,446140,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -23,Private,377121,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -17,Private,41865,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K -43,Private,85995,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,104575,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,243485,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -60,State-gov,352156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Federal-gov,276868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Private,150601,10th,6,Separated,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K -41,Private,196344,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Mexico,<=50K -47,Private,44216,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -31,Private,204752,12th,8,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K -53,Private,197492,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,257250,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,193859,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2176,0,35,Germany,<=50K -36,Local-gov,116892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,49275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Local-gov,121124,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K -33,Private,250782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,155106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,195481,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,95455,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -24,Private,216853,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K -17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,31670,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,444304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,171398,10th,6,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K -60,Private,113080,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,75826,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,164190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,183479,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,194243,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,362617,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,187577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,411700,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,173307,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -25,Local-gov,315287,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,Trinadad&Tobago,<=50K -53,Private,424079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -37,Private,179671,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,243733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,70,United-States,>50K -51,Local-gov,117496,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -24,Private,295073,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,37284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,259226,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -34,Private,424988,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,120535,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,421132,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,192862,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -38,Self-emp-inc,244803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,60,Cuba,>50K -64,Self-emp-inc,185912,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -40,Self-emp-not-inc,117721,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,244668,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,8614,0,40,Mexico,>50K -26,State-gov,179633,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,93885,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -26,Private,32276,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,State-gov,120781,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -40,Private,260425,Assoc-acdm,12,Separated,Tech-support,Unmarried,White,Female,1471,0,32,United-States,<=50K -45,Private,189802,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,100188,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,149388,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -37,Self-emp-inc,395831,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -62,Self-emp-not-inc,71467,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -47,Self-emp-inc,154174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -62,Private,197918,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,?,50783,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,110028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,188236,10th,6,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,345705,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K -29,Private,205499,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -38,Local-gov,414791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -50,Private,163948,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,296212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,255965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -61,Private,153048,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,73019,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,312818,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,1,United-States,>50K -31,Private,169583,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,224541,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,Mexico,<=50K -72,Private,156310,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,2414,0,12,United-States,<=50K -58,Private,252419,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -28,State-gov,78356,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K -29,Private,193125,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,197919,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,184425,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K -45,Private,157980,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,346871,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,4787,0,46,United-States,>50K -25,Private,213383,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,244580,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -64,Private,162761,Some-college,10,Widowed,Sales,Not-in-family,White,Male,2354,0,35,United-States,<=50K -28,Private,33798,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,316059,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -29,Private,242597,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,221801,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,266860,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -34,Private,509364,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Private,123429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,180284,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,?,190514,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,38848,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,437161,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,29444,12th,8,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -46,Private,192360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -45,Local-gov,348172,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,7298,0,40,United-States,>50K -43,Private,59107,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,4101,0,40,United-States,<=50K -29,Private,192384,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,145441,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,<=50K -21,Local-gov,276840,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -20,Private,190963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,52187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -70,Federal-gov,163003,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,33310,Prof-school,15,Divorced,Other-service,Not-in-family,White,Female,0,2339,35,United-States,<=50K -34,Private,56460,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,41,United-States,<=50K -27,Private,50132,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Federal-gov,99199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K -19,Private,182590,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -59,Local-gov,50929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,265638,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K -26,Private,159897,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Federal-gov,164195,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,>50K -35,Private,25955,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -48,Private,324655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K -36,Local-gov,248263,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,172664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,80163,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -49,State-gov,55938,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -18,?,151404,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,204653,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,194772,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -47,Local-gov,273767,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Self-emp-not-inc,177407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,196947,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,175752,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,64879,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Federal-gov,198813,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,1590,40,United-States,<=50K -44,Private,467799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,462890,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -27,Private,132191,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,212944,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -30,Private,162623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,409622,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -25,Private,310864,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K -51,Federal-gov,100653,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -52,Private,190762,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -22,?,287988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -51,Private,103995,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,60,United-States,>50K -46,Private,191389,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,28,United-States,>50K -19,?,93604,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -77,Private,148949,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,3818,0,30,United-States,<=50K -20,Private,179423,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,162282,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,201734,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,177720,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Local-gov,167999,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K -24,Private,285457,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,287037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,?,498411,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,112941,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -27,Private,221166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,136080,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,31,United-States,<=50K -46,Local-gov,359193,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -42,Federal-gov,46366,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,157708,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,State-gov,89564,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,226980,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -29,Local-gov,272569,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,167725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,173495,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -34,Local-gov,51543,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -38,Self-emp-inc,222532,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -25,Private,130302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,119545,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -17,Private,101626,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -48,Local-gov,188741,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,232945,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Other,Male,0,0,30,United-States,<=50K -25,Private,144483,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,222374,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,278115,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -47,Private,301431,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -59,?,291856,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -54,State-gov,93415,Bachelors,13,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -35,Private,179579,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -33,Private,54782,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,42,United-States,<=50K -49,?,114648,12th,8,Divorced,?,Other-relative,Black,Male,0,0,40,United-States,<=50K -35,Private,195946,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -54,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,111567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,>50K -42,Private,152676,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K -28,Private,194940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,151818,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -61,Private,173924,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Puerto-Rico,>50K -37,Private,248010,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -19,Private,425816,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,197672,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,118792,11th,7,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K -44,Private,56483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -17,?,179715,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,231180,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,183923,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -22,?,179973,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,295589,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K -33,Local-gov,300681,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,353696,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,Canada,<=50K -55,Self-emp-not-inc,68006,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,60,United-States,<=50K -25,Private,169124,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,165848,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,176452,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Peru,<=50K -39,Private,83893,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,310197,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,48779,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Self-emp-inc,141058,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,2339,50,United-States,<=50K -42,Self-emp-inc,204598,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,United-States,<=50K -30,Private,188798,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,479600,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,113530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,335065,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,30,Mexico,<=50K -50,Self-emp-inc,235307,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -17,Private,176017,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -32,Private,211751,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,122159,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K -39,Private,206951,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,98986,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,168165,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,160261,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,10,United-States,<=50K -23,Private,186813,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -54,Private,56741,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,85902,10th,6,Widowed,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,170354,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,126364,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,206923,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,1977,40,United-States,>50K -61,Private,128848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,United-States,<=50K -52,Self-emp-inc,287927,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -17,Self-emp-not-inc,33230,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,15,United-States,<=50K -43,Private,106900,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,401762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -51,Private,159910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,10520,0,40,United-States,>50K -52,Private,202115,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -29,Private,142249,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,194096,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,181762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,95636,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,173981,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,176289,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Federal-gov,286253,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,196385,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -34,Private,171159,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -23,Private,43150,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,161631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,145784,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -27,Private,123116,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,49,United-States,<=50K -39,Private,50700,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,402089,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,176756,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1485,70,United-States,>50K -39,Private,186934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -26,Private,173593,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,Canada,<=50K -32,Private,115989,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -50,Local-gov,320386,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,89146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -37,State-gov,348960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -25,Private,130557,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Local-gov,113054,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -50,State-gov,198103,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,State-gov,161631,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,250201,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,United-States,<=50K -62,Private,311495,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,180928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,55,United-States,<=50K -55,Private,256953,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K -33,Self-emp-not-inc,203784,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,62,United-States,<=50K -43,State-gov,107439,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -30,Local-gov,108386,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,242406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -53,Local-gov,216931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -20,Self-emp-inc,168165,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,179262,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -50,Private,183173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -34,Private,119422,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K -54,Private,226497,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,155459,Bachelors,13,Never-married,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K -27,Private,161155,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Private,274222,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7688,0,38,United-States,>50K -66,State-gov,71075,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Private,251396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,34173,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,<=50K -24,Private,271354,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,136331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -39,Private,56118,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,147253,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,380544,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,373662,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -47,Federal-gov,119199,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,273604,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,94774,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -42,Private,412379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,127772,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,44,United-States,>50K -38,Private,176458,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -46,Private,164749,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,320305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,148590,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,295589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K -18,State-gov,389147,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K -27,Local-gov,34254,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,?,263970,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K -27,Federal-gov,148153,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Local-gov,56340,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,282753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,118089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K -38,Private,204756,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,?,348588,12th,8,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -71,Self-emp-inc,38822,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -20,Private,117767,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,269890,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,175526,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,181460,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -26,Private,104097,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,85995,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -39,State-gov,178100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,811615,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,United-States,<=50K -54,Private,178251,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -22,Private,121471,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,?,31285,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,302868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,?,451940,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,210959,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,160631,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4508,0,8,Yugoslavia,<=50K -55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,229566,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -47,Self-emp-not-inc,104489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,269784,10th,6,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,114765,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,121012,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,212195,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,United-States,>50K -55,Private,205422,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -35,Private,306678,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K -18,Private,154089,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -50,Self-emp-inc,155574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -30,Private,76107,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,>50K -49,State-gov,203039,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,123083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,65389,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -60,Private,178764,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -38,?,295166,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,220740,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -32,Private,158416,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,83411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Private,143068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,50,United-States,<=50K -44,Private,118947,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -42,Self-emp-inc,165981,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,26502,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,116539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,31533,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,107620,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -29,Private,107812,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -53,Self-emp-inc,124993,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -18,?,151552,11th,7,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K -29,Private,308944,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,165310,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K -25,Private,262978,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Self-emp-inc,135500,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -66,Local-gov,261062,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,497300,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -32,Private,383269,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,312477,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,60726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K -38,Self-emp-inc,124665,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Self-emp-inc,186733,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,336513,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K -22,Private,416165,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -47,Self-emp-not-inc,321851,Assoc-voc,11,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Local-gov,34021,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -22,Private,211678,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,385959,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -33,Private,254221,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,180624,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,White,Female,0,0,30,United-States,<=50K -22,Private,117747,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -40,Private,79531,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -26,?,292803,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K -23,Private,434894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,226295,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,United-States,<=50K -48,Private,365516,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,143058,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,163706,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K -24,Private,456460,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,204829,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,50646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -23,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K -52,Private,185283,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,86615,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -56,Self-emp-not-inc,144351,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,90,United-States,<=50K -33,Private,554986,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,238567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -21,State-gov,185554,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -28,Private,171133,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,123270,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,87867,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -32,Private,50178,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -59,Private,195820,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -22,Private,99199,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -52,Private,214091,HS-grad,9,Widowed,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -26,Self-emp-inc,97952,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,80,United-States,<=50K -26,Private,122999,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,130534,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,167725,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,176673,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K -71,Self-emp-not-inc,200540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2392,52,United-States,>50K -58,Private,141379,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -26,Private,266912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,Private,112137,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,4508,0,40,Cambodia,<=50K -30,Private,207253,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K -36,Private,161141,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,436361,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K -58,Private,172333,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -47,Private,97883,Bachelors,13,Widowed,Priv-house-serv,Unmarried,White,Female,25236,0,35,United-States,>50K -42,Private,328239,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,166634,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K -41,Private,142579,Bachelors,13,Widowed,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K -29,Private,159479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,55,United-States,<=50K -17,Private,102456,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -28,Local-gov,154863,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,1876,40,United-States,<=50K -51,Private,147200,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Private,175600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,194698,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -64,Local-gov,209899,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -70,?,162659,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -24,Private,187717,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,535869,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -24,Private,179423,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,306440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,France,<=50K -43,Private,141327,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,155537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,99151,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -40,Private,98466,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -20,State-gov,125165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,143368,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,55,United-States,<=50K -39,Self-emp-not-inc,139703,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,48,United-States,>50K -25,Self-emp-not-inc,275197,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,174461,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -55,Private,144084,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,335453,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -41,Local-gov,112797,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -50,Private,345450,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,243776,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -45,Private,247379,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,78374,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,38,Japan,<=50K -20,Private,71475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,188972,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,225516,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,10520,0,43,United-States,>50K -47,Private,213140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -34,Private,37210,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -58,Local-gov,81132,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K -27,Private,61580,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Private,110408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -39,State-gov,222530,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,1590,40,United-States,<=50K -48,Private,102585,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,127185,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -39,Private,334366,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K -20,Private,230891,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,242700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,10520,0,50,United-States,>50K -21,Private,227307,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,43,United-States,>50K -31,Private,169085,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -26,Private,298225,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -43,Local-gov,94937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,<=50K -47,State-gov,30575,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,241626,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,116852,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,Portugal,>50K -54,Private,177675,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -39,Federal-gov,255407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,96467,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,165503,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K -20,Private,82777,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,29145,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,70505,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,Private,214617,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -46,Self-emp-not-inc,256014,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -52,Federal-gov,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Local-gov,203376,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,154120,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -49,Private,96854,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,111130,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -20,Private,216811,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,179291,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,Haiti,>50K -80,?,29020,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K -19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K -51,Private,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K -36,Private,112576,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,109419,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,45,United-States,>50K -53,Private,238481,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K -60,Private,26756,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,?,53540,11th,7,Divorced,?,Unmarried,Black,Female,0,0,16,United-States,<=50K -22,Private,63105,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -41,State-gov,159131,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -30,State-gov,136997,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Local-gov,86551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K -18,Private,317425,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,7,United-States,<=50K -24,?,96844,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -20,Private,236804,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -29,Private,189565,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K -58,Private,106707,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -57,Self-emp-not-inc,24473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,180052,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K -47,Private,101204,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,4064,0,40,United-States,<=50K -31,Private,168981,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -45,Private,261278,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,5178,0,40,Philippines,>50K -41,Private,242619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -23,Private,126540,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,118549,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,220776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -61,Self-emp-not-inc,185640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -80,Local-gov,81534,1st-4th,2,Widowed,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,1086,0,20,Philippines,<=50K -29,Private,151476,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,225053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,309620,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,45,?,<=50K -25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,265097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,48859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -29,Self-emp-not-inc,179008,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,205019,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K -20,Private,186014,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -47,Private,191978,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -62,Private,190610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Local-gov,277323,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,45,United-States,<=50K -40,Private,231991,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,204515,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -40,Private,356934,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,Private,209438,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,226535,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K -38,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K -32,Private,341672,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,2174,0,45,Taiwan,<=50K -20,Private,42706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -24,Private,240063,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -50,Private,155433,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,240989,1st-4th,2,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -34,State-gov,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,210781,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K -25,Private,106552,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,272132,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,65,?,<=50K -27,Private,104017,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1628,50,United-States,<=50K -38,Private,33105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,70,United-States,>50K -35,Self-emp-inc,196373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,Private,165599,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -43,State-gov,47818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,291407,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -48,Private,91251,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K -23,Private,32950,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K -36,Private,130808,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,329733,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -31,Private,129804,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -34,Private,163581,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,10520,0,40,Puerto-Rico,>50K -62,Self-emp-inc,354075,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,189674,Some-college,10,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -48,Federal-gov,265386,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,116991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,170217,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -27,Self-emp-not-inc,151382,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,86643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -38,Private,237091,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,36,Peru,<=50K -36,Self-emp-not-inc,408427,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -63,Private,318763,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,22,United-States,<=50K -28,Self-emp-inc,153291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,191342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -21,Private,180339,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Female,0,1602,30,United-States,<=50K -57,Private,99364,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -67,?,37092,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -58,Private,317479,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,197429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -55,Private,72812,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K -66,Private,22313,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -27,Self-emp-not-inc,209301,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -64,Private,66634,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,27828,0,50,United-States,>50K -43,Private,120277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,120277,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -20,?,369678,12th,8,Never-married,?,Not-in-family,Other,Male,0,1602,40,United-States,<=50K -27,Local-gov,478277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,108683,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -35,?,365739,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,554317,9th,5,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -40,Private,191814,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,117618,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,195136,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -38,Private,114079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -41,Private,220531,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -22,Private,54560,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,101752,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K -26,?,167261,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -25,?,219897,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,35,Canada,<=50K -28,Private,220692,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -50,Federal-gov,191013,HS-grad,9,Separated,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -20,Private,346341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K -36,Private,151835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -29,Private,185647,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K -75,Self-emp-not-inc,106873,11th,7,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Local-gov,85341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,234220,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,Cuba,<=50K -53,Private,321865,Prof-school,15,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -45,Private,215620,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,?,50862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K -28,Private,51672,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -37,State-gov,318891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,27539,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,124827,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,82285,Bachelors,13,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K -19,Private,73461,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,132326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,259873,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,190151,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -33,?,369386,Some-college,10,Married-civ-spouse,?,Wife,White,Female,5178,0,40,United-States,>50K -30,Private,208043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -29,Private,177413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -34,Private,137616,9th,5,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -34,Private,118901,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,126614,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Other,Male,0,0,30,Iran,<=50K -29,Private,29865,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K -48,Private,186299,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -63,Private,221072,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,?,<=50K -47,Self-emp-not-inc,94100,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -24,Private,353010,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -19,Self-emp-not-inc,209826,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,32,United-States,<=50K -24,Private,289448,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -36,Private,139364,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Private,133625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,190290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,100882,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Private,168837,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -28,Private,197222,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -33,Private,295649,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,China,<=50K -51,Private,201127,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,State-gov,188809,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -30,Private,91145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,197207,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,173858,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K -43,Private,76487,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,68982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Self-emp-not-inc,456956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,State-gov,117166,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -36,Private,116608,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K -62,Private,202958,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,171338,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -39,State-gov,144860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,33474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,164526,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,134367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,43,United-States,<=50K -32,Self-emp-not-inc,114419,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,207853,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,162604,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -46,State-gov,192323,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,268832,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,176520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,53,United-States,<=50K -47,Federal-gov,124974,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -52,Private,266138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -62,Local-gov,167889,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,Iran,<=50K -36,Private,168747,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,239450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,115963,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,280519,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -53,State-gov,104501,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -30,Private,130021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -26,State-gov,169323,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,175305,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,27661,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -29,Private,157308,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,2829,0,14,Philippines,<=50K -39,Local-gov,327164,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -41,Self-emp-inc,495061,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -58,Self-emp-not-inc,81642,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,147638,Bachelors,13,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K -22,Private,230248,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -40,Private,189666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -64,Private,180247,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,356689,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Private,198231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,175069,Some-college,10,Never-married,Sales,Own-child,White,Male,1055,0,30,United-States,<=50K -35,Private,397307,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -31,Private,119033,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -32,Local-gov,161478,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,46,United-States,<=50K -25,Private,32275,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,<=50K -22,Private,147397,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -57,Private,477867,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,204338,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,30,?,<=50K -29,Private,193152,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -23,Private,235853,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,82622,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,135924,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,111376,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -49,Private,47403,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -77,?,309955,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,1411,2,United-States,<=50K -22,Private,320451,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,24,India,<=50K -51,Private,146767,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,?,135105,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -51,Private,63081,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -29,Private,114982,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -60,?,112821,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -45,Private,348854,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,27,United-States,<=50K -36,Private,164898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,332125,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,2176,0,25,United-States,<=50K -22,Private,64292,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,25,United-States,<=50K -25,Local-gov,109972,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K -21,?,121468,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,140892,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -30,Private,124020,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,182211,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,154430,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,208591,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,187711,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -37,Private,238049,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,El-Salvador,<=50K -25,Private,403788,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -27,Private,279580,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K -48,Private,349151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,146454,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5556,0,40,United-States,>50K -31,Private,48520,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,172252,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,293791,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -65,Private,262446,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -55,Local-gov,209535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-inc,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,222703,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Nicaragua,<=50K -51,Self-emp-not-inc,313702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,72442,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-inc,64875,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,158545,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,27,United-States,<=50K -58,Private,322013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,364913,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,52199,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Self-emp-inc,158950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,78529,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,225895,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,130760,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,142766,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,1055,0,20,United-States,<=50K -36,Private,295706,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -21,Private,129172,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2907,0,40,United-States,<=50K -48,Private,109275,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,43206,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,50,United-States,>50K -51,Private,70767,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -58,Local-gov,294313,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,<=50K -62,Local-gov,176839,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K -21,Private,211385,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K -43,Private,393762,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,29957,Masters,14,Never-married,Tech-support,Other-relative,White,Male,0,0,25,United-States,<=50K -52,Private,45599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,<=50K -26,Private,248776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,133375,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -55,?,227243,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -40,Private,227466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -35,Private,237943,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,344743,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,>50K -20,Private,403519,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1719,33,United-States,<=50K -24,Private,320615,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,2205,40,United-States,<=50K -17,Private,139183,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -61,?,149855,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,2057,70,United-States,<=50K -46,State-gov,265554,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,229826,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,Federal-gov,56419,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,20,South,<=50K -37,Private,175232,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -29,Private,156819,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,151910,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Female,0,1719,40,United-States,<=50K -26,Private,173992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -21,?,436431,Preschool,1,Married-civ-spouse,?,Other-relative,White,Female,0,0,40,Mexico,<=50K -46,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K -30,Private,36383,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K -21,Private,57211,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,273675,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,35,Puerto-Rico,<=50K -17,Private,327127,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,177675,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -36,Private,176101,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,2174,0,60,United-States,<=50K -48,Self-emp-not-inc,121124,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -48,Private,238726,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,478346,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K -40,Self-emp-inc,144371,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -50,Private,150876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,55,United-States,>50K -24,Private,186314,Some-college,10,Separated,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K -58,Private,35520,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -45,Private,338105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -21,Private,119156,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,225024,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,State-gov,58039,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,168211,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -27,State-gov,152560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,39223,10th,6,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K -71,?,161027,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -31,Private,120461,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,469572,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -43,Private,101950,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Local-gov,92431,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2231,40,United-States,>50K -33,Private,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,275466,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -69,?,628797,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,135089,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,<=50K -56,Private,174744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,174373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,230475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -25,Private,86872,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,306830,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Nicaragua,<=50K -26,Private,192652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -58,Private,310320,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-inc,49298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -18,Private,434430,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,172169,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -35,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -70,?,163057,HS-grad,9,Widowed,?,Not-in-family,White,Female,2009,0,40,United-States,<=50K -31,Private,66815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,154641,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,418901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -17,Private,205954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -31,Private,132996,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K -42,Private,367049,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,40,United-States,<=50K -27,Private,212506,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,165799,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Self-emp-not-inc,176321,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,123713,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,263908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,210525,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,177271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,99783,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,33331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,126135,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,122497,9th,5,Widowed,Other-service,Unmarried,Black,Male,0,0,52,?,<=50K -29,Private,214925,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,<=50K -21,?,177144,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,22,India,<=50K -50,Private,145409,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -30,Private,182177,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Ireland,<=50K -51,Self-emp-inc,28765,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -24,Private,161638,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ecuador,<=50K -60,Private,128367,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,3325,0,42,United-States,<=50K -32,Private,237582,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Private,226883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Federal-gov,72998,11th,7,Divorced,Craft-repair,Not-in-family,Black,Female,14084,0,40,United-States,>50K -27,Private,98769,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,238008,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,44675,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -51,Private,241745,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -32,Private,398019,7th-8th,4,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,15,Mexico,<=50K -18,Private,39222,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,347653,Bachelors,13,Divorced,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K -56,Local-gov,267763,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,22641,HS-grad,9,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -17,Local-gov,308901,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -33,Private,255004,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2354,0,61,United-States,<=50K -46,Self-emp-not-inc,149337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,299908,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -40,Private,96509,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -45,Private,253827,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -19,Private,188864,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K -37,Private,207066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -32,Private,116539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -62,Private,116289,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,481987,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -23,Private,549349,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,175883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -57,Local-gov,196126,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -82,?,403910,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -20,Private,234640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,149220,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,?,175499,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -40,State-gov,166327,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K -39,Private,216129,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,Jamaica,<=50K -47,Private,368561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,75648,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -41,Local-gov,189956,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -19,Private,306467,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,State-gov,20057,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,38,Philippines,<=50K -38,Federal-gov,213274,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,6497,0,40,United-States,<=50K -57,Private,278228,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,198744,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,106014,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -24,Private,376393,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,403118,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -25,Private,279667,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -57,Private,204751,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,162442,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,Private,76878,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K -37,Self-emp-inc,199816,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,399386,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K -31,Private,211242,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -49,Private,115784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,State-gov,110199,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,228873,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -30,Private,149507,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K -37,Private,119929,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -29,Private,255187,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,184303,7th-8th,4,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K -30,Private,208668,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,25,United-States,<=50K -37,Private,321943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,72630,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,45,United-States,<=50K -36,Private,127865,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,25,United-States,<=50K -43,Private,147099,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -24,Private,176321,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,153614,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,435836,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K -25,Private,256263,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,70261,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,131939,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,194726,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -44,Private,307468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,29,United-States,>50K -43,Private,180609,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -55,Local-gov,123382,Assoc-voc,11,Separated,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -65,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,65,United-States,<=50K -28,Private,183155,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,199336,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,359696,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,60,United-States,>50K -23,Private,194247,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,77391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,164583,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -46,Private,78529,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -51,Private,41474,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,31438,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,43,?,<=50K -61,Self-emp-inc,139391,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,35,United-States,>50K -66,Self-emp-not-inc,212456,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -47,Private,135246,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Private,214502,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -45,Private,543922,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,14344,0,48,United-States,>50K -48,Private,97863,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K -35,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,189924,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -41,?,128700,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,215395,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,37,United-States,<=50K -56,Private,49647,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -39,Private,198654,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,99999,0,40,United-States,>50K -59,Private,159048,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,44392,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,?,182191,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,4064,0,30,Canada,<=50K -17,Self-emp-inc,143034,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,4,United-States,<=50K -48,Local-gov,238959,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,9562,0,40,United-States,>50K -29,Private,46987,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Private,136343,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,394191,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,55,Germany,<=50K -35,Private,103323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,58222,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,362623,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,1573,30,Mexico,<=50K -38,Private,97759,12th,8,Never-married,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K -37,Private,64922,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,70,England,<=50K -45,Federal-gov,380127,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,213002,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,36,United-States,<=50K -41,Self-emp-not-inc,49448,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -44,Private,103397,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Private,339482,5th-6th,3,Separated,Farming-fishing,Other-relative,White,Male,0,0,60,Mexico,<=50K -52,Private,38973,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,State-gov,197399,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,?,161309,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,15024,0,50,United-States,>50K -50,Private,166368,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,201413,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,141584,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,193459,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,141420,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,248941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,137232,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,42,United-States,<=50K -26,Private,165418,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,124747,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K -34,Self-emp-not-inc,260560,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,156400,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Local-gov,212803,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Private,176118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -38,Private,146178,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,121966,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Private,244906,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,374983,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -49,Self-emp-inc,218835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -38,Private,168407,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,5721,0,44,United-States,<=50K -59,Self-emp-inc,125000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -25,Private,221757,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,45,United-States,<=50K -43,Private,128170,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -55,Federal-gov,174533,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,72,?,<=50K -53,Federal-gov,155594,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,40,United-States,>50K -24,Private,227070,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,198660,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,210648,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -27,Federal-gov,276776,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,168403,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,169512,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -28,Private,166634,HS-grad,9,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -51,Private,339905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,144947,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,State-gov,72619,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -53,State-gov,281074,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,1092,40,United-States,<=50K -64,Self-emp-not-inc,46366,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -53,State-gov,182907,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,49794,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,231638,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,306639,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,308118,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -42,Self-emp-not-inc,352196,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -65,Local-gov,24824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,241998,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4787,0,40,United-States,>50K -18,Private,23940,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,89813,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,193882,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,111467,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,308239,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,4,United-States,<=50K -57,State-gov,32694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Local-gov,329980,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,Canada,<=50K -76,Self-emp-not-inc,161182,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -29,Local-gov,92262,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -35,Private,412379,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,44013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,141918,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K -44,Private,324311,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,Mexico,<=50K -39,Private,98941,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -26,Private,391349,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,355571,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,183810,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Federal-gov,54377,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -48,Private,240629,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -53,Private,233165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Federal-gov,243233,Some-college,10,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,48,United-States,>50K -62,Private,180418,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -58,?,169329,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,52822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -21,Private,202570,12th,8,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,48,?,<=50K -38,Private,87282,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,236110,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -19,State-gov,42750,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,88808,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,37869,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-inc,505365,Bachelors,13,Separated,Sales,Unmarried,White,Male,0,0,70,Canada,<=50K -23,Private,410439,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -52,Private,235307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,195540,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,Black,Male,0,1408,40,United-States,<=50K -65,Federal-gov,23494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2174,40,United-States,>50K -60,Self-emp-not-inc,236470,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,196678,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,90934,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,64,Philippines,>50K -36,Private,48976,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -46,Private,143542,11th,7,Widowed,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K -48,Private,129974,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,Self-emp-inc,107850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K -31,Private,137814,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -23,Private,217961,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -63,?,64448,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,213385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,129227,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,141944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -28,?,424884,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -42,Private,172297,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K -63,Self-emp-not-inc,174181,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -58,Private,71283,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K -35,Self-emp-not-inc,115618,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -64,Local-gov,158412,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,332187,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K -27,Private,89813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,206008,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Local-gov,191202,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -54,Federal-gov,160636,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -48,Private,207277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -41,Local-gov,98823,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -55,Self-emp-inc,160813,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Private,34845,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,214689,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,46756,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -21,?,231511,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -35,Federal-gov,250504,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K -40,Private,165309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -49,Self-emp-not-inc,51620,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -46,Local-gov,33373,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,104457,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -39,Private,172571,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,182715,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -49,Self-emp-not-inc,113513,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,243190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,India,>50K -40,Private,174947,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -29,Private,186624,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Cuba,<=50K -53,Private,161691,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,Local-gov,182313,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,110622,5th-6th,3,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K -34,Private,49325,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,154210,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,14,Puerto-Rico,<=50K -26,Private,151551,Some-college,10,Separated,Sales,Own-child,Amer-Indian-Eskimo,Male,2597,0,48,United-States,<=50K -47,Private,398652,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,101135,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,224406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,165815,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -52,Private,169785,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,186865,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -25,Private,509866,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,78,United-States,<=50K -37,Local-gov,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,99999,0,40,?,>50K -48,Self-emp-inc,341762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,234664,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,143766,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Private,203067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,73203,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Federal-gov,298635,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K -29,Private,115677,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,159472,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,138111,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,40,United-States,<=50K -19,Private,311974,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -45,Self-emp-not-inc,70754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K -61,Self-emp-not-inc,201273,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,197665,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -49,Self-emp-not-inc,102318,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -40,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,2977,0,35,United-States,<=50K -30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,192445,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,317019,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -38,Local-gov,185394,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -37,Self-emp-not-inc,177277,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,119008,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Local-gov,150171,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,26252,Assoc-acdm,12,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -17,Self-emp-not-inc,226203,12th,8,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -52,Local-gov,91689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,217028,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,State-gov,158834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Federal-gov,127185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -54,Private,229375,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,159937,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -41,Private,203943,12th,8,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K -36,Private,227615,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,32,Mexico,<=50K -39,Private,226374,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Federal-gov,207107,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,2080,40,Philippines,<=50K -28,Private,214702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,66172,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,192381,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,?,387839,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Private,205894,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,?,<=50K -28,Self-emp-not-inc,35864,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,70,Iran,>50K -72,Self-emp-not-inc,52138,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2392,25,United-States,>50K -50,Local-gov,186888,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -29,Private,128666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,172111,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -45,Private,72896,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,298342,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,180837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,216214,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,95855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -23,State-gov,389792,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K -36,Self-emp-not-inc,66883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,233499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,116489,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -38,Self-emp-not-inc,115215,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,32950,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,183161,12th,8,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -49,Private,353824,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -30,Self-emp-not-inc,157778,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,271160,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -52,Self-emp-inc,100506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -54,Private,163826,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,296728,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,82910,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,160910,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,153471,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -51,Private,256908,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,143078,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,39581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,45,United-States,<=50K -27,Private,303954,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,189498,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,136162,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,46577,Bachelors,13,Widowed,Farming-fishing,Unmarried,White,Female,0,0,6,United-States,<=50K -34,Private,92682,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -32,Local-gov,110100,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -42,Local-gov,226902,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,30636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -51,Self-emp-not-inc,138200,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,187770,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,98281,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,43,United-States,<=50K -28,Private,65171,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,<=50K -25,Private,237865,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K -58,Private,186991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,168443,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -45,Self-emp-not-inc,34446,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -25,Self-emp-inc,163039,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Private,191385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -55,Self-emp-not-inc,158315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -31,Private,113364,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,91506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -26,Private,244372,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,>50K -26,Private,84619,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,125856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,160362,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,211032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,286789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,113587,10th,6,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -50,Private,189107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,311671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,Self-emp-not-inc,98418,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -18,Private,205218,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,187790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,39212,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,140790,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,54825,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -60,Private,23063,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,203628,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -70,Private,118902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Scotland,<=50K -38,Private,117312,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -49,Self-emp-not-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K -32,Private,171813,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,220098,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -20,?,316304,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,200192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -17,Private,73338,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,161311,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Private,41610,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,186386,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,10520,0,40,United-States,>50K -43,Private,282069,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K -34,Private,84119,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,37072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,191335,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K -57,Private,47621,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -18,?,169882,Some-college,10,Never-married,?,Own-child,White,Female,594,0,15,United-States,<=50K -38,Self-emp-inc,112847,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -33,Private,138142,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -21,Private,346341,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,442612,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -57,Private,199713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -34,Local-gov,432204,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,80,United-States,<=50K -17,Private,208463,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Self-emp-not-inc,30244,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,80,United-States,<=50K -54,State-gov,276005,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,177211,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,166371,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,121772,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -52,Self-emp-not-inc,64045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K -17,Private,168203,7th-8th,4,Never-married,Farming-fishing,Other-relative,Other,Male,0,0,40,Mexico,<=50K -17,?,216595,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -54,Local-gov,168212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -26,?,104756,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,0,1651,42,United-States,<=50K -41,Self-emp-inc,125831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -32,Self-emp-not-inc,33417,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,269722,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -29,Private,385092,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -47,Federal-gov,202560,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -17,Private,206383,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -43,Federal-gov,410867,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -58,Private,242670,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,141570,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K -27,Private,312939,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,179580,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,>50K -55,Private,199763,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,198368,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K -54,Private,288992,10th,6,Divorced,Prof-specialty,Unmarried,White,Male,14344,0,68,United-States,>50K -30,Self-emp-not-inc,90705,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,105813,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,300681,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,?,<=50K -29,?,191935,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,233149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Private,162872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,111706,1st-4th,2,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -32,Private,279231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K -70,Private,30713,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -59,Private,114032,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,201799,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,112291,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -21,Private,100345,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,197731,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,204447,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,103634,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,35,United-States,<=50K -27,Private,107812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,130200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -26,Private,100125,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Local-gov,23157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -21,Private,301408,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,22,United-States,<=50K -62,State-gov,198686,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,133819,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,230684,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-inc,81513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -67,?,105252,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -69,Private,172354,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,50,United-States,<=50K -39,State-gov,126894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K -19,Private,156618,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1602,20,United-States,<=50K -59,Private,152731,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,211494,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -61,Private,153790,Assoc-acdm,12,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,121602,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,127671,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,187748,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,129624,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Cambodia,<=50K -37,Private,179488,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,169611,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,39460,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -51,Private,165278,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,46,United-States,>50K -29,Private,119793,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K -28,Private,169069,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,147548,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,85,United-States,<=50K -50,Private,230858,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,249957,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,201732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -66,?,52654,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -22,Private,189950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -24,Private,65743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Self-emp-not-inc,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -28,Private,109001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,247558,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,41,United-States,<=50K -27,Private,219371,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,116103,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Male,914,0,40,United-States,<=50K -23,Private,113309,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,114691,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Ireland,<=50K -20,Private,204226,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -68,?,29240,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -49,Private,61885,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,282461,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -47,Private,93449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -28,Private,55360,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K -19,Local-gov,243960,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -56,Private,109015,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K -17,Private,98675,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -29,Federal-gov,66893,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,226357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,188612,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,Nicaragua,<=50K -35,Private,113152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,142494,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,248446,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -34,Private,217652,12th,8,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,241852,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Private,227386,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,145333,Doctorate,16,Divorced,Prof-specialty,Other-relative,White,Male,10520,0,50,United-States,>50K -23,Private,65225,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -51,Private,37237,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K -26,Self-emp-not-inc,75654,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K -68,Private,99491,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -29,Self-emp-not-inc,77207,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -45,Private,126889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,60,United-States,>50K -28,Private,298696,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,192982,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K -57,Local-gov,167457,7th-8th,4,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,109952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,101272,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -29,Private,179768,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -63,Private,37792,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K -40,Private,179717,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,60,United-States,>50K -50,Private,167886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,?,173800,Masters,14,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K -29,Private,200468,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,42346,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K -69,Local-gov,660461,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -46,Private,58683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -54,Self-emp-not-inc,207841,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -54,Private,167380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,343061,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,40,Cuba,<=50K -53,Local-gov,324021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,127573,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,188073,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Federal-gov,76313,HS-grad,9,Married-civ-spouse,Armed-Forces,Other-relative,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -42,Private,153132,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,?,<=50K -17,Private,154337,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K -53,Local-gov,99682,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -24,Private,155913,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K -80,?,402748,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K -24,Private,132053,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,219122,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,84661,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,245275,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -65,Private,95303,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,84648,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -45,Self-emp-inc,212954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,308136,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,326048,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -21,Private,186452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -66,Local-gov,376506,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K -39,State-gov,42186,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,3464,0,20,United-States,<=50K -49,Private,200471,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -51,Local-gov,47415,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1628,30,United-States,<=50K -48,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -34,Private,46144,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -62,?,235521,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -50,Self-emp-not-inc,64667,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,60,Vietnam,<=50K -76,Private,98695,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,364685,11th,7,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -56,Private,208431,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,32,United-States,<=50K -26,Local-gov,177482,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -21,Private,160968,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,38619,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -52,Private,204447,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -27,Self-emp-inc,243871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -28,Private,375655,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -28,Local-gov,263600,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -19,Private,39477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,210295,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -36,State-gov,194630,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,201343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -27,Self-emp-not-inc,208577,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,50,United-States,<=50K -58,Self-emp-not-inc,290670,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -40,Private,202922,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -43,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,>50K -59,Private,176011,Some-college,10,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,182541,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K -22,Private,174975,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,36,United-States,<=50K -36,Private,177907,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -43,Local-gov,98130,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,39,United-States,<=50K -19,Private,198943,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -24,Private,284317,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,170244,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Self-emp-inc,116133,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,41,United-States,<=50K -54,?,172991,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,120064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -49,Private,146268,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,?,234542,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,136080,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,211344,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,197422,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -17,Private,721712,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -27,Private,207352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -22,Private,82393,9th,5,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,Private,35969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K -28,Private,184723,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1980,35,United-States,<=50K -35,Federal-gov,205584,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -44,Private,326232,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,2547,50,United-States,>50K -25,State-gov,328697,Some-college,10,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K -21,Private,44793,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,65,United-States,<=50K -29,Private,147340,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -35,Local-gov,45607,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -38,Private,153976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,170800,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -49,Self-emp-inc,101722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -31,Private,122347,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,34104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K -51,Private,161691,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,48063,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -32,Private,50753,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,99516,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,191277,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Self-emp-not-inc,35295,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -62,?,125493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5178,0,40,Scotland,>50K -46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -64,Private,211846,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,311569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,121074,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K -37,Self-emp-not-inc,154641,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K -21,Private,260617,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,36,United-States,<=50K -35,Private,343403,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,131045,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,225768,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -25,Private,276728,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,43,United-States,<=50K -57,Private,201159,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Private,176893,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,8614,0,44,United-States,>50K -35,Private,109351,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,45,United-States,>50K -54,Self-emp-inc,162439,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,98,United-States,>50K -44,Private,74680,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K -30,Private,166961,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K -24,Private,251603,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -65,Private,90907,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -24,Private,34446,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K -23,Private,203240,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,186934,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -35,Local-gov,177305,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,40,United-States,<=50K -17,?,171080,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,?,185291,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -24,Private,193130,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,43064,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -50,Private,162327,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,100292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -29,Private,234972,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Federal-gov,176917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -45,Private,126141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,?,206681,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -58,Private,255822,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,143281,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -32,Self-emp-not-inc,400061,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Philippines,>50K -45,Federal-gov,56904,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,45,United-States,<=50K -22,Private,254547,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,30,Jamaica,<=50K -28,Private,216178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,201490,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -23,Private,481175,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Male,0,0,24,Peru,<=50K -29,Self-emp-not-inc,169544,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -40,Private,349405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K -23,Private,146178,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Male,0,0,46,United-States,<=50K -29,Private,57596,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,State-gov,138513,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -22,Federal-gov,471452,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,8,United-States,<=50K -36,Private,172571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -43,Self-emp-not-inc,350387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,53703,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,251908,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K -30,Private,103860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,209317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -35,Self-emp-not-inc,168475,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -33,Private,155198,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -63,Local-gov,86590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K -40,Private,184471,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,219591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,147202,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,Germany,<=50K -37,Private,318168,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,1055,0,20,United-States,<=50K -33,Private,156383,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -90,Private,225063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -52,Federal-gov,35546,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,101016,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,307812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,304001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,141797,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,?,99297,HS-grad,9,Married-civ-spouse,?,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K -18,Private,300379,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -25,Private,277444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,191571,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K -39,Private,116546,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -59,Private,193375,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K -53,Private,164198,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -69,?,159077,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,214413,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,274720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,363257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -56,Private,129836,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -40,Local-gov,34739,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K -51,Private,123429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,342769,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -83,Self-emp-not-inc,243567,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,43221,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,40,United-States,>50K -38,Private,461337,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -38,Private,108293,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -40,Private,226902,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -73,Self-emp-not-inc,30958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -42,Self-emp-not-inc,342634,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Cambodia,<=50K -49,Private,80026,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,219546,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,44,United-States,>50K -17,Private,231438,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -53,Self-emp-not-inc,187830,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -27,Private,189777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,282069,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,55507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -64,Private,30725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,67958,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -57,Private,278763,Assoc-voc,11,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,47,United-States,<=50K -19,Private,218956,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -54,Local-gov,152540,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K -37,Private,103925,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -20,Private,305781,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,33126,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Self-emp-inc,166880,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K -67,Self-emp-inc,325373,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -49,Private,219751,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,194995,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,333100,10th,6,Never-married,?,Own-child,White,Male,1055,0,30,United-States,<=50K -63,Private,108097,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,45,United-States,<=50K -30,?,104965,9th,5,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -54,Private,37289,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -33,Private,279231,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -32,Private,299635,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,653574,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K -32,Private,244200,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,Puerto-Rico,<=50K -37,Private,101020,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,4787,0,55,United-States,>50K -29,Local-gov,170482,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,2057,40,United-States,<=50K -60,Private,101096,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K -65,Private,65757,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,105043,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,229553,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K -68,?,186266,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -29,Private,241895,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Private,271493,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,186648,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,244261,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -59,Private,231377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K -54,State-gov,103179,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -31,Local-gov,275369,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,213341,11th,7,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,1762,40,Dominican-Republic,<=50K -32,Private,201988,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,?,<=50K -40,Self-emp-not-inc,171615,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,>50K -46,Private,116338,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,102318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -20,State-gov,138371,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,32,United-States,<=50K -33,Private,589155,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -35,Self-emp-inc,89622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Private,230684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -31,Private,141817,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -26,Private,383306,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,61850,Masters,14,Never-married,Sales,Other-relative,White,Female,0,0,21,United-States,<=50K -25,Private,114150,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,362600,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -37,Private,92028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -65,Federal-gov,190160,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Male,0,1944,20,Poland,<=50K -17,Private,95909,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,242713,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -72,?,129912,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -53,Private,81794,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Local-gov,318972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,65,United-States,<=50K -42,Private,266084,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K -54,Private,409173,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,50,Puerto-Rico,>50K -18,?,113185,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -51,Private,290856,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,120959,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,382368,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Local-gov,114231,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -28,Local-gov,218990,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,46,United-States,<=50K -64,Local-gov,266080,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -62,Private,97017,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,150025,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -30,Self-emp-not-inc,96480,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -57,Private,144012,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,State-gov,39586,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -39,Private,188038,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,State-gov,170525,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -56,Private,367200,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,70021,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -26,Private,132661,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,188069,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -35,Private,278403,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -41,Private,510072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,State-gov,206775,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,501172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -18,Private,347829,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K -42,State-gov,200294,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,48882,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -20,Private,258730,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -56,State-gov,102791,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -23,Private,118693,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,Private,220426,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,?,273285,11th,7,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,Private,33124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K -50,Local-gov,183390,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -22,Private,157332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -65,Local-gov,180869,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Private,92079,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -23,?,172232,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,198425,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Federal-gov,106297,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,312923,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,80,Mexico,<=50K -45,Private,169180,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -62,Self-emp-inc,197060,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,Local-gov,263431,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,181020,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -21,?,202989,Some-college,10,Never-married,?,Own-child,White,Male,0,0,80,United-States,<=50K -28,?,308493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,17,Honduras,<=50K -39,Local-gov,256997,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,169435,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,16,United-States,<=50K -40,Local-gov,161475,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,75,United-States,<=50K -24,Private,196269,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K -47,Private,184945,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -23,Private,320294,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,133861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,62,United-States,<=50K -35,Private,101387,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,184169,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -38,Private,58108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,Private,138293,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -45,Private,168191,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,37,United-States,>50K -50,Private,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -43,Self-emp-not-inc,243432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,191648,Assoc-acdm,12,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,15,United-States,<=50K -60,State-gov,152711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,176917,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,32921,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,178319,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K -30,Private,37210,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,256979,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,35,United-States,<=50K -32,Private,159589,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -62,Private,175080,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,177907,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -47,Local-gov,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,4386,0,40,United-States,>50K -22,State-gov,232742,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,197850,11th,7,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K -46,Private,318259,Assoc-voc,11,Divorced,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K -34,Local-gov,158242,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -29,State-gov,204516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -38,Private,172538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,175121,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,174138,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,295308,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K -64,?,220258,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -49,Private,133969,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,>50K -23,Private,240160,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -25,State-gov,104097,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,124259,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Private,287306,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -54,Self-emp-not-inc,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K -37,Private,265144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,115248,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -23,Private,359759,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -48,Private,182655,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,63503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -50,Private,85815,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,38,United-States,>50K -27,Private,257302,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,<=50K -18,?,236090,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,100009,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,Private,103642,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -71,Private,132057,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,9386,0,50,United-States,>50K -36,Private,48268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,32086,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -58,?,53481,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -34,State-gov,173730,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -37,Private,100316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-not-inc,609935,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,?,<=50K -45,Private,252079,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -31,Self-emp-inc,304212,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -35,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,5178,0,50,United-States,>50K -23,Private,478994,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -49,State-gov,122066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,125131,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -27,?,147638,Masters,14,Never-married,?,Not-in-family,Other,Female,0,0,40,Japan,<=50K -37,Private,203070,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,62,United-States,<=50K -46,Self-emp-not-inc,176863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,39581,Prof-school,15,Separated,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -56,Private,89922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,45,United-States,>50K -73,?,145748,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -19,Private,184710,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,271795,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -53,Local-gov,176557,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -23,Private,148948,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,213008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K -38,Private,377486,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K -52,Private,152373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K -44,Private,321824,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -38,Local-gov,68781,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,171338,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -43,Private,105119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,389856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,330571,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -26,Local-gov,197764,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,200408,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,2174,0,40,United-States,<=50K -20,?,137300,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,35,United-States,<=50K -57,Private,190942,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K -53,Private,187356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,United-States,<=50K -20,?,41356,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -39,Private,301070,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -32,Private,261059,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Private,88725,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Female,0,0,40,?,<=50K -63,Private,123157,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,204742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,136230,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,167159,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,245361,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -56,Private,146660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,192614,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K -18,Self-emp-not-inc,40293,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,27067,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,?,146645,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,50,United-States,>50K -31,Private,198452,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,444134,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -19,Private,451951,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,?,196627,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,76212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -41,Private,281725,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -40,Private,171888,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K -50,?,284477,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,235891,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K -21,Private,148444,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -51,Federal-gov,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,180284,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -61,?,179761,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -57,Private,238017,HS-grad,9,Widowed,Tech-support,Not-in-family,Black,Female,0,0,54,United-States,<=50K -49,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -33,Private,76107,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,>50K -35,Private,225860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,164526,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,129150,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -43,Self-emp-not-inc,99203,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,26781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -19,Private,340567,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -72,Private,103990,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K -42,State-gov,248406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -50,Private,177896,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,41938,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -42,Local-gov,199095,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Federal-gov,175428,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -18,Private,127827,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -57,Self-emp-not-inc,27385,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -27,Private,493689,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,France,<=50K -44,Private,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -27,Self-emp-not-inc,177831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Hungary,<=50K -47,Private,247379,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Private,308118,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,?,<=50K -54,?,169785,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Federal-gov,22428,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -18,?,115258,11th,7,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -39,Private,98941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,41294,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,89041,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K -44,Private,228320,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -21,Private,187513,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,221672,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,134069,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -50,Private,171924,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -57,Private,335276,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -63,?,174817,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -56,Self-emp-not-inc,220187,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -19,Private,322866,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,153238,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,32,United-States,>50K -63,Private,237379,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,230824,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -75,?,164849,9th,5,Married-civ-spouse,?,Husband,Black,Male,1409,0,5,United-States,<=50K -39,?,361838,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K -37,Private,131463,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -27,Private,190525,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -19,Private,222866,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,233433,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,45,United-States,<=50K -21,Private,24598,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -74,?,256674,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,250791,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -43,Local-gov,216070,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K -58,Private,123436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -24,Private,403671,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,338260,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -48,Local-gov,273767,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K -49,Private,93557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -62,Private,194167,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,2174,0,40,United-States,<=50K -59,Private,169133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,185896,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,47,Mexico,<=50K -21,State-gov,258490,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -61,Local-gov,115023,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,140592,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,233421,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -42,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Private,557349,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,?,285742,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -25,Private,138765,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K -34,Local-gov,117963,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -56,Private,192869,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -38,Private,176335,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,111676,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,67852,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Private,266645,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -38,Private,172571,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,58,Poland,<=50K -28,Private,105817,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,?,37591,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,298841,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Federal-gov,26543,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,57233,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,106183,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,6849,0,40,United-States,<=50K -30,Private,190912,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1651,40,Vietnam,<=50K -31,Private,49398,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,192776,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K -60,Private,139586,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -23,Private,345577,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -51,Private,152596,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,170718,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,188069,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,50,United-States,>50K -25,Private,248851,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,211253,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -46,Local-gov,216647,10th,6,Divorced,Protective-serv,Unmarried,White,Female,0,0,20,United-States,<=50K -38,Local-gov,123983,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,1741,40,Vietnam,<=50K -40,Private,104196,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -37,Private,160192,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,80,United-States,<=50K -41,Private,230931,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -29,Private,116531,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Local-gov,34935,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -72,Private,74141,9th,5,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,United-States,>50K -19,?,331702,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,348986,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -27,Private,198346,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,?,41035,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -57,Self-emp-inc,146103,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,30,United-States,>50K -37,Private,208106,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Private,191502,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,236543,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,40,United-States,<=50K -33,Private,323985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,>50K -38,Private,208358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,83411,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,37,United-States,<=50K -42,Private,510072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,86150,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,>50K -25,Private,37379,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,Private,270379,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Local-gov,198708,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K -33,Private,114691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,180477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -36,Private,279485,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Federal-gov,125461,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,323,40,United-States,<=50K -48,Private,34186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -35,Self-emp-inc,135436,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -48,Private,168038,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,50,United-States,>50K -74,Private,89852,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,11,United-States,<=50K -35,Private,191807,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,360593,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,44,United-States,<=50K -28,Private,148084,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K -34,State-gov,32174,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Local-gov,189189,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -51,Private,284329,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,191520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K -33,Private,174789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,212114,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K -34,Private,114691,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,30008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,31350,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -56,Private,133025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,98466,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K -70,Self-emp-not-inc,165586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,240979,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -33,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -41,Private,190591,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -35,Private,29145,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,106252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,India,<=50K -31,Private,27494,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K -37,Self-emp-not-inc,32239,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,40,United-States,>50K -30,Private,275232,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K -44,Private,438696,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,93131,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,1055,0,20,China,<=50K -34,Private,345360,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,England,<=50K -29,Private,161857,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Other,Female,0,0,40,Columbia,<=50K -46,Private,318259,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,55,United-States,<=50K -60,Self-emp-not-inc,157588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,99,United-States,<=50K -19,Private,414871,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,232149,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -18,Private,181712,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -33,Federal-gov,207172,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,370795,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -66,Private,169804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -45,Local-gov,93535,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,289106,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,363130,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,177596,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K -34,Self-emp-not-inc,114074,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,43945,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -59,Self-emp-not-inc,41258,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,213276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,176486,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -41,Private,96741,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,291414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -55,Private,171780,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -53,Private,208570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,26,United-States,<=50K -27,Self-emp-not-inc,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,244395,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,113688,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,206046,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,113253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -40,Private,316820,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -59,Private,370615,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -23,Private,189461,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K -57,Private,71367,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -70,?,158642,HS-grad,9,Widowed,?,Not-in-family,White,Female,2993,0,20,United-States,<=50K -31,Local-gov,240504,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,1902,50,United-States,>50K -17,Private,52967,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -61,Private,98776,11th,7,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Private,212894,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Guatemala,<=50K -49,Private,43910,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -70,Private,278139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3432,0,40,United-States,<=50K -54,Self-emp-not-inc,30908,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -20,Self-emp-not-inc,132320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -34,Private,849857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K -26,Private,91683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,278073,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K -32,Private,100837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2002,66,United-States,<=50K -31,Private,104223,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Federal-gov,130057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -40,Private,282155,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -31,Self-emp-not-inc,229946,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K -71,Private,97870,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K -31,Private,121768,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Poland,<=50K -43,Private,352005,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -55,Private,195329,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2202,0,35,Italy,<=50K -28,Private,183597,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,594,0,50,Germany,<=50K -26,Self-emp-not-inc,218993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -65,Self-emp-not-inc,115498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3818,0,10,United-States,<=50K -32,Self-emp-inc,124919,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,Iran,>50K -27,Private,147951,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,1,United-States,<=50K -35,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -57,Local-gov,323309,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,297449,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -28,Local-gov,304960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K -20,Private,176321,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -43,Private,347934,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Federal-gov,145175,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -37,Private,454915,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,395206,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,367240,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -42,Local-gov,263871,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,8,United-States,<=50K -63,Self-emp-inc,54052,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -18,Private,187221,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,12,El-Salvador,<=50K -26,State-gov,34862,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K -53,Self-emp-inc,42924,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K -25,Private,248990,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K -41,State-gov,73199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -46,Local-gov,303918,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,96,United-States,>50K -48,Local-gov,24366,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -22,State-gov,334693,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,201799,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K -29,Local-gov,179681,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,37,United-States,<=50K -42,State-gov,138162,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,216473,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -34,Private,212781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,137991,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,143766,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,174575,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Self-emp-inc,170993,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,13550,0,40,United-States,>50K -28,Private,149769,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -33,Private,174789,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,State-gov,33308,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,48894,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,160646,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -25,Private,189850,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -31,State-gov,176185,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,36568,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -35,Federal-gov,23892,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Local-gov,96480,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K -22,Self-emp-not-inc,104164,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Private,278114,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,66,United-States,<=50K -40,Private,154374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -51,?,209794,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,3,United-States,>50K -33,Private,168906,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -27,Self-emp-inc,376936,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,106728,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,62374,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,146391,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Ireland,<=50K -57,Local-gov,173242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Local-gov,40641,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -40,Private,118001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Private,139344,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,129764,Some-college,10,Divorced,Sales,Unmarried,White,Male,1506,0,50,United-States,<=50K -40,Private,104196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -42,Self-emp-not-inc,221172,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,225724,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -43,Self-emp-inc,210013,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -37,Private,188377,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Local-gov,194970,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,320421,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -29,Private,188729,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -18,Private,155021,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -39,Federal-gov,129573,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K -19,Private,198668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,145409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Private,223548,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -42,Private,157425,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -50,Private,185846,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K -61,Private,328881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -39,Private,286026,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,152953,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,Dominican-Republic,<=50K -36,Private,154835,HS-grad,9,Separated,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -58,Private,178644,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -78,Private,180239,Masters,14,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -53,Private,185283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -29,Federal-gov,114072,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,United-States,>50K -41,Self-emp-not-inc,274158,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -59,Private,214052,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -47,?,109832,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,30,Canada,>50K -31,Private,31510,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,101452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,England,>50K -39,Private,86643,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K -77,Self-emp-not-inc,161552,Preschool,1,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,420749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Germany,<=50K -49,Private,240859,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K -38,Private,111499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -18,Private,232024,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K -68,Private,45508,5th-6th,3,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,22,United-States,<=50K -25,Private,132661,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K -31,Private,123397,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,35,United-States,>50K -35,Self-emp-not-inc,135020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Germany,<=50K -63,Self-emp-not-inc,129845,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,117556,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K -45,Private,161819,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K -59,Private,66440,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,94401,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,257042,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K -33,Private,205152,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -36,Private,184112,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,45,United-States,>50K -51,Private,61270,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -19,?,169324,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -36,Private,280440,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,45,United-States,<=50K -51,Private,302847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K -21,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,52953,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,140854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,60,United-States,>50K -39,Private,180477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -48,Private,413363,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K -21,Private,201603,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,2176,0,40,United-States,<=50K -30,Private,97933,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1485,37,United-States,>50K -62,Private,178745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,299598,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -22,Private,61850,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,176900,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,263656,11th,7,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -54,Private,155233,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K -51,Self-emp-inc,183173,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -64,Local-gov,47298,Doctorate,16,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -38,Local-gov,225605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K -67,?,201657,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,60,United-States,<=50K -40,Private,175398,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,?,289046,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,1741,40,United-States,<=50K -33,Private,213722,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,Greece,<=50K -58,Private,365511,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -21,Private,25265,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -22,?,35448,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,22,United-States,<=50K -46,Private,116143,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,91189,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,128493,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,202558,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -57,Local-gov,317690,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -50,Private,187830,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,62,United-States,>50K -52,Local-gov,143533,7th-8th,4,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -56,Private,246687,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,162041,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -65,Private,115880,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Private,244974,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -49,Self-emp-not-inc,308241,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K -46,Private,122194,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K -29,Private,162257,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,?,196388,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -29,Private,370494,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -40,Private,303291,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -35,Private,98948,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K -32,Private,225064,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,97142,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,233923,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,48343,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,130391,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K -57,Federal-gov,199114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K -32,Private,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,48093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,176839,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K -29,Federal-gov,360186,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -73,?,243030,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,222971,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -31,Local-gov,94991,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -37,Private,44780,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,34233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,24740,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,55,United-States,<=50K -19,?,214087,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,33939,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -75,?,128224,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -56,Private,53481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,280927,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,209320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,?,177839,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K -40,Local-gov,108765,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -25,Private,182227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -56,Private,172364,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,369825,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -44,Private,221172,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,123084,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,415578,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,184693,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,Mexico,<=50K -29,Private,167737,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K -30,Private,160594,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,State-gov,443546,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,187981,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,209808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,47,United-States,<=50K -34,Private,203357,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -40,Private,90582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,345363,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K -55,Private,303090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K -39,Private,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -31,Private,169002,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K -41,?,252127,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -53,Private,133219,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,4386,0,30,United-States,>50K -20,Private,39477,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,101460,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -46,Self-emp-inc,167882,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,70,United-States,>50K -20,Private,109667,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -20,Private,125010,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -62,Private,110103,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,272960,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -51,Self-emp-not-inc,306784,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -36,Private,173804,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,117915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -21,Self-emp-not-inc,83704,9th,5,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,188391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -62,Local-gov,113443,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,33,United-States,>50K -30,Private,55481,Masters,14,Never-married,Tech-support,Unmarried,White,Male,0,0,45,Nicaragua,<=50K -34,Local-gov,143699,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -73,?,84390,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -36,Private,24106,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -59,Private,128829,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,264228,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -39,Private,237713,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,2415,99,United-States,>50K -32,Private,158438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -40,Private,141583,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,206365,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,State-gov,404573,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,50149,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -64,Local-gov,237379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3471,0,40,United-States,<=50K -38,Private,227615,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,391114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,123116,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,195638,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -40,Private,220609,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,192173,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -51,Private,159015,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,185582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K -44,Private,144925,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,United-States,<=50K -37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,187215,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -41,Private,182303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Private,37380,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,68021,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Self-emp-not-inc,85492,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,216461,Some-college,10,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,180871,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,247444,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Columbia,<=50K -51,Private,173987,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,355686,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,522241,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,87771,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1628,45,United-States,<=50K -31,Federal-gov,139455,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Cuba,<=50K -36,Private,226013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5178,0,40,United-States,>50K -66,Private,298834,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K -29,Self-emp-not-inc,160786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -54,Private,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -57,Self-emp-not-inc,287229,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -41,Private,170331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,114056,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,84,United-States,<=50K -42,State-gov,191814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,243409,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,287737,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,230113,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -36,Private,272090,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,El-Salvador,<=50K -26,Local-gov,30793,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K -25,Private,273792,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,United-States,<=50K -40,Private,107433,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -37,Private,202683,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K -58,Private,236596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-inc,166386,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,35,Taiwan,<=50K -31,Private,164243,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -53,State-gov,105728,HS-grad,9,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,28,United-States,>50K -21,Private,187643,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,53367,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -40,Federal-gov,121012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,United-States,>50K -64,Self-emp-not-inc,289741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -33,Private,50276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,191137,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -83,Self-emp-inc,272248,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -76,Private,201240,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,78374,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -51,Federal-gov,45487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -43,Local-gov,212847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,148940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -71,?,128529,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Self-emp-not-inc,98941,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -38,Private,60135,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,202930,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,132563,Prof-school,15,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,>50K -67,Private,197816,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1844,70,United-States,<=50K -62,Local-gov,106069,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,335453,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Private,24038,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Private,49570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,189123,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,58,United-States,<=50K -17,Private,265657,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -34,Private,185216,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,175778,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -48,Self-emp-inc,481987,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,50197,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -53,Private,171058,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,263612,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Haiti,<=50K -21,Private,325923,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K -50,Private,135339,12th,8,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -42,Private,174112,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,186224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,48055,12th,8,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,50953,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,10,United-States,<=50K -37,Private,171150,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -23,Private,24395,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,202700,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -37,Local-gov,365430,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -32,Private,198265,1st-4th,2,Never-married,Exec-managerial,Own-child,White,Male,0,0,21,United-States,<=50K -67,Private,397831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1539,40,United-States,<=50K -58,Private,177368,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,29393,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,209609,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-inc,308686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -26,Private,147982,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,110643,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K -59,Private,107318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -30,Federal-gov,356689,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Japan,<=50K -36,Private,129591,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,220124,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K -39,Private,328466,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,2407,0,70,Mexico,<=50K -36,Private,257691,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -29,Private,168470,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,177083,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K -22,Private,160120,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -37,Private,342480,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,322873,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -67,?,110122,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,>50K -65,Private,225580,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -52,Local-gov,187830,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,4934,0,36,United-States,>50K -61,Federal-gov,178312,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,149910,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -26,Private,241626,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,35662,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K -35,Private,185556,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -43,Private,115932,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -19,Private,263340,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -39,Local-gov,203482,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,42750,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K -27,Private,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K -22,Private,416165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,207677,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,307643,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -64,Private,149775,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,8,United-States,<=50K -44,Local-gov,254134,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Private,55191,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,191088,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1741,52,United-States,<=50K -19,Private,217418,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,38,United-States,<=50K -59,Private,194290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -60,Private,63296,Masters,14,Divorced,Prof-specialty,Other-relative,Black,Male,0,0,40,United-States,<=50K -20,Private,217421,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,42850,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -67,Self-emp-inc,147377,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,118938,11th,7,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -44,Private,277647,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -31,Private,109055,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3137,0,45,United-States,<=50K -50,Private,142073,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Private,171550,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -30,Private,259058,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,1726,40,United-States,<=50K -30,Private,131588,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K -30,Federal-gov,547931,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Local-gov,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,28790,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,200046,Bachelors,13,Separated,Sales,Unmarried,White,Male,0,2824,40,United-States,>50K -50,Private,94885,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -23,Private,164901,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,606347,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,158177,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,44,United-States,>50K -61,Self-emp-inc,190610,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -62,Private,185503,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -61,Private,72442,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Federal-gov,155106,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K -69,Private,213249,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -33,Private,96635,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,26,South,<=50K -23,Private,324960,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,263081,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,84,United-States,<=50K -24,Private,138938,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,342400,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -44,Private,223308,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -42,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -28,Private,286452,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -53,State-gov,71417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,109856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -43,Federal-gov,211450,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,180138,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,205152,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,State-gov,60186,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,167380,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,50,United-States,<=50K -40,Self-emp-inc,218558,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,Private,157541,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K -22,Private,203715,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,352614,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -32,?,30499,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K -26,Private,207258,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -59,?,424468,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,78859,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,11,?,<=50K -34,Private,295922,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,England,>50K -55,Self-emp-inc,197749,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1573,44,United-States,<=50K -18,Private,219404,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,48,Mexico,<=50K -41,Self-emp-inc,240124,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,211046,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2463,0,40,United-States,<=50K -49,Local-gov,163229,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -45,Private,738812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -34,Private,318641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -45,Private,234652,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -24,?,164574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,293623,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -55,Private,116219,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -65,Local-gov,188903,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,45,United-States,>50K -45,Private,347321,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,365986,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,36671,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,50,United-States,<=50K -36,Local-gov,178222,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Self-emp-not-inc,39369,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,176761,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Nicaragua,<=50K -49,Private,34446,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,206889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,178341,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,>50K -19,Without-pay,43627,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -30,Private,234753,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,34,United-States,>50K -54,Private,98535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,200323,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Private,267717,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -40,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -33,Private,118551,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,?,155509,11th,7,Divorced,?,Unmarried,Black,Female,0,0,10,Haiti,<=50K -24,Private,157332,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,106748,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K -48,Private,44142,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -39,Federal-gov,235485,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -51,Private,249644,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K -22,?,269221,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,303652,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,168187,Some-college,10,Never-married,Other-service,Other-relative,White,Female,4416,0,25,United-States,<=50K -20,Private,190429,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,158703,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,127651,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,205706,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,139960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,60,United-States,>50K -58,Self-emp-not-inc,164065,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K -36,Private,54229,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,<=50K -38,Private,219546,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,110426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K -27,Private,122922,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,122442,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,54576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,247819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -49,State-gov,154493,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,44,United-States,<=50K -20,?,183083,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -59,Self-emp-not-inc,56392,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,60,United-States,<=50K -21,Private,273403,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Self-emp-not-inc,45604,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -31,Private,209448,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,40,Mexico,<=50K -33,Private,80145,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -38,Federal-gov,248919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K -53,Private,71772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,State-gov,226452,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,291529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,13,United-States,>50K -34,Private,243165,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K -26,Private,194352,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,35723,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,40,United-States,>50K -28,Private,181291,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,7688,0,40,United-States,>50K -38,Private,428251,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,51662,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -41,Local-gov,74581,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,65,United-States,<=50K -28,Local-gov,154863,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,>50K -34,State-gov,278378,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,214236,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Federal-gov,38749,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,60,Philippines,>50K -33,Private,114691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -52,Private,427475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -35,Private,215323,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,149419,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -32,Private,347623,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,176949,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,State-gov,150874,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,1506,0,40,United-States,<=50K -66,Self-emp-not-inc,240294,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -26,Private,154966,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -34,Private,113364,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,<=50K -38,?,217409,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -57,Private,228764,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,262617,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,2597,0,40,United-States,<=50K -41,Private,184105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -46,Self-emp-not-inc,317253,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -43,Private,197093,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Private,334277,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Federal-gov,192589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,?,162165,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K -47,Private,331650,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,382859,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -64,Private,387669,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -66,Private,151227,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,107458,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -40,Federal-gov,199303,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Federal-gov,72338,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -47,Local-gov,55237,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,<=50K -46,Private,196707,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -27,Private,287476,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,3325,0,40,United-States,<=50K -79,?,142171,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K -42,Private,247019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,206541,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,88055,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,148952,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -46,Self-emp-inc,67725,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -45,Private,128378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,189762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,280500,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,216129,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,70568,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,25,El-Salvador,<=50K -39,Private,242922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,263561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -40,Federal-gov,177595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -24,?,166437,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,49923,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,164898,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,163053,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,337766,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,197757,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -49,Private,196360,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -29,Private,236938,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K -24,Private,236696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,219705,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,55,United-States,<=50K -28,Local-gov,229223,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K -41,State-gov,201363,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K -56,Private,78707,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,4508,0,28,United-States,<=50K -43,State-gov,241506,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,36,United-States,<=50K -25,Self-emp-inc,181691,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K -31,Private,36069,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -29,Local-gov,183523,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Iran,<=50K -41,Private,238384,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,189975,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,60,United-States,>50K -30,Private,72887,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,3411,0,40,United-States,<=50K -32,Private,144064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,206599,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,175710,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -35,Private,151835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -69,?,337720,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -71,Private,200418,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,234780,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -19,?,174233,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K -22,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,417419,7th-8th,4,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,32185,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -42,Self-emp-not-inc,33795,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -35,?,117528,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -52,?,91447,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,2205,8,United-States,<=50K -38,Private,374524,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,State-gov,294400,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -60,Private,162347,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -50,Self-emp-inc,145714,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Private,83064,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,192565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,40142,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -43,Private,112967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,139684,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,130834,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,48123,12th,8,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,<=50K -31,Self-emp-not-inc,163845,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,?,154430,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,324550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,170456,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -46,Local-gov,126524,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K -17,Private,154908,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,201519,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -35,Private,190174,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,358355,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,157568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,?,149343,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -48,Private,240917,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -36,Private,209629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,165030,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,154538,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,50953,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -36,Private,181322,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,State-gov,199884,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -21,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -53,Self-emp-not-inc,108815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,157193,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,Italy,<=50K -41,Self-emp-not-inc,178510,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Local-gov,286352,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Local-gov,391074,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Private,73471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,474136,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K -30,Private,345122,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-not-inc,118806,1st-4th,2,Widowed,Craft-repair,Other-relative,White,Female,0,1602,45,Columbia,<=50K -34,Private,168906,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -47,Self-emp-not-inc,168109,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K -25,Private,258379,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,<=50K -45,Self-emp-inc,145290,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -31,Private,561334,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,103200,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K -46,Private,118714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -56,Private,136413,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -76,?,201986,11th,7,Widowed,?,Other-relative,White,Female,0,0,16,United-States,<=50K -28,Private,114967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,279679,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,52262,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,147707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -44,Private,240448,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -42,Self-emp-not-inc,214242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -46,Private,137547,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -62,?,181063,10th,6,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -66,Self-emp-not-inc,198766,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,163396,Some-college,10,Never-married,Tech-support,Not-in-family,Other,Female,0,0,40,United-States,<=50K -21,Private,32616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,16,United-States,<=50K -33,Private,192663,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,Private,95647,11th,7,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -66,Private,167711,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -19,Private,175820,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,102583,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -19,Private,25429,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,147258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,614113,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -53,Local-gov,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -34,Private,89644,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -63,Private,30602,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,189922,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Private,30673,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Private,120268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -64,Self-emp-not-inc,144391,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,358585,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -37,Private,342642,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,177063,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,183801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,178356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,99,United-States,<=50K -49,Self-emp-not-inc,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,<=50K -39,Private,34028,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K -36,Local-gov,137314,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -65,?,123484,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,25,United-States,<=50K -22,Private,141698,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,177989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,255176,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Self-emp-inc,206253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -64,Self-emp-inc,132832,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,40,?,>50K -32,Private,286689,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -21,Private,195248,Some-college,10,Never-married,Sales,Own-child,Other,Female,0,0,20,United-States,<=50K -24,Local-gov,238384,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K -59,Self-emp-not-inc,304779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -50,Self-emp-not-inc,175456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -48,State-gov,224752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,175360,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K -40,Self-emp-not-inc,184804,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2205,45,United-States,<=50K -38,Federal-gov,32899,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,237601,Bachelors,13,Never-married,Sales,Not-in-family,Other,Female,0,0,55,United-States,>50K -55,Self-emp-not-inc,119762,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -17,?,161259,10th,6,Never-married,?,Other-relative,White,Male,0,0,12,United-States,<=50K -57,Private,78707,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,131826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,287244,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -45,Private,273194,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,35,United-States,<=50K -22,Self-emp-not-inc,214014,Some-college,10,Never-married,Sales,Own-child,Black,Male,99999,0,55,United-States,>50K -23,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,272742,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K -39,Self-emp-not-inc,134475,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,1762,40,United-States,<=50K -45,Private,310260,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -32,Private,181665,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K -59,Self-emp-not-inc,104216,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -27,Private,201872,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,313817,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,130057,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -21,?,34443,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,275522,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K -53,Self-emp-not-inc,276369,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -19,Private,57366,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -48,Federal-gov,247043,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,321770,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,41493,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K -44,Private,107584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,50,United-States,<=50K -19,?,242001,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -41,Local-gov,396467,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -27,Self-emp-not-inc,365110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -52,Private,200783,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,343579,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -24,Self-emp-inc,145964,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -25,Private,210794,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,30412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,70282,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,132686,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,96245,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,<=50K -28,Private,221215,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -20,State-gov,37482,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,169262,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,50,United-States,<=50K -22,Private,433669,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,?,<=50K -52,Private,175622,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,158993,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K -63,Private,214071,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,377018,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,202466,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -22,Private,442478,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,57617,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -45,Private,26502,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K -19,Local-gov,53220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,167868,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -21,Private,162667,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Ecuador,<=50K -39,Self-emp-not-inc,193689,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K -45,Private,114797,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,247328,Assoc-voc,11,Separated,Sales,Not-in-family,White,Male,0,0,40,Mexico,<=50K -51,Private,82783,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,171231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Peru,<=50K -61,Private,97128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -38,Private,33001,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -75,Self-emp-not-inc,31428,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,40,United-States,<=50K -18,Private,138266,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -52,Self-emp-not-inc,41496,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,173944,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,273010,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3471,0,40,United-States,<=50K -21,Private,194102,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,69770,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,29438,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -23,Private,153044,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,7,United-States,<=50K -40,Private,239708,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -27,?,29361,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,State-gov,273771,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,313702,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,138626,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K -63,Private,181828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K -28,Self-emp-not-inc,420054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -34,Private,41809,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Local-gov,166039,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Private,426562,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -56,Private,156052,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,594,0,20,United-States,<=50K -59,Self-emp-not-inc,241297,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,6849,0,40,United-States,<=50K -29,Self-emp-inc,241431,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -21,State-gov,166704,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K -30,Private,609789,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K -53,Private,191565,1st-4th,2,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K -21,Private,83704,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,320451,Bachelors,13,Married-spouse-absent,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -40,Self-emp-inc,175696,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,51,United-States,<=50K -71,Self-emp-inc,118119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K -28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,315640,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,60,Iran,<=50K -54,Local-gov,375134,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,193586,Some-college,10,Separated,Farming-fishing,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,185325,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -40,State-gov,119578,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -41,Private,284716,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -53,Private,285621,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -41,Local-gov,88904,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Local-gov,114060,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,190823,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -26,?,211798,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -63,State-gov,109735,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,160594,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -45,Private,78529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,101618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -43,Private,68748,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Private,236858,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K -36,Self-emp-not-inc,280169,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,8,United-States,<=50K -26,Self-emp-not-inc,231714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,186531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,198751,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -34,Self-emp-not-inc,198813,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -41,Private,99679,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,487486,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,?,<=50K -19,Private,63918,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,?,181014,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,?,295763,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Local-gov,169905,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,115289,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,177121,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,251854,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -51,?,22743,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -38,Local-gov,193026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,190909,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,189670,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K -47,Private,147236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -68,Private,284763,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -28,Private,51961,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,24,United-States,<=50K -41,Self-emp-inc,34266,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,335015,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,<=50K -29,Private,194197,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,174714,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K -41,Private,112656,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,State-gov,178517,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,218184,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,Mexico,<=50K -29,Private,79586,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -49,Local-gov,59612,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,100099,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,38430,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,20098,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,188041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Self-emp-not-inc,129573,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -22,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Greece,<=50K -42,Private,247695,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -60,?,188236,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,131435,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,240124,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,99185,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,264017,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,Canada,<=50K -55,Private,161423,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -22,Private,127647,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K -18,Private,293227,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,122609,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,157941,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,68577,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,142760,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K -44,Private,247880,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K -33,Private,150570,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,321733,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K -37,Self-emp-not-inc,35330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -21,Private,88926,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -24,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,171331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,133770,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -22,Private,272615,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,38353,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,188882,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Federal-gov,116062,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -51,State-gov,166459,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,131415,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -39,Private,190466,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,2174,0,40,United-States,<=50K -37,Local-gov,152587,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,66686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -61,Private,166789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,50,United-States,>50K -25,?,296228,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,42,United-States,<=50K -32,Private,188154,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -21,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,341762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,33,United-States,<=50K -29,Private,77009,11th,7,Separated,Sales,Not-in-family,White,Female,0,2754,42,United-States,<=50K -35,Private,274158,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,3103,0,40,United-States,>50K -26,Private,231638,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,178025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,63745,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,28160,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,112584,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,189674,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,28,?,<=50K -33,Private,93283,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,251521,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -62,Private,103344,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K -53,State-gov,281590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -32,State-gov,308955,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,66687,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -52,Private,318975,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Cuba,<=50K -50,Private,421561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,304906,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -64,Private,45868,7th-8th,4,Separated,Priv-house-serv,Not-in-family,Other,Female,0,0,35,Mexico,<=50K -25,Private,90752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,308136,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,346783,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,Cuba,>50K -33,Private,110978,Some-college,10,Divorced,Craft-repair,Other-relative,Other,Female,0,0,40,United-States,<=50K -17,Private,173807,11th,7,Never-married,Craft-repair,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,281356,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,66,Mexico,<=50K -52,Private,210736,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K -42,Private,139012,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K -55,Self-emp-not-inc,100569,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K -29,State-gov,67053,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -44,Federal-gov,151933,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K -21,?,121694,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,90860,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,302679,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -41,Private,288679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,168782,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,44075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -61,Private,95500,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,216968,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K -36,Private,312206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,152375,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,223811,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,246652,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,174466,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -23,Private,216889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,State-gov,100863,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K -55,Private,227158,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,27780,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -62,Private,190273,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,152968,Some-college,10,Separated,Adm-clerical,Other-relative,White,Male,3325,0,40,United-States,<=50K -28,Private,595088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,63,United-States,<=50K -19,Private,238144,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,Self-emp-not-inc,60981,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K -24,Private,181820,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,98954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -31,Private,226756,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,67306,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -44,Private,215304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Federal-gov,185885,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -56,State-gov,143931,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,572285,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -31,Private,120460,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -41,Local-gov,67671,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Iran,>50K -22,Private,306593,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,355728,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -34,Private,176469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -22,Private,410439,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,148015,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,52,United-States,<=50K -53,Private,34368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,222490,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,113466,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,108140,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Private,149787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -39,Private,179824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,36,United-States,<=50K -21,Private,247115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K -50,Private,175029,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,126110,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Local-gov,96062,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,219682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,State-gov,165852,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,217480,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,8614,0,40,United-States,>50K -28,Self-emp-not-inc,33363,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -52,Private,158993,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K -47,Private,151087,HS-grad,9,Separated,Prof-specialty,Other-relative,Other,Female,0,0,40,Puerto-Rico,<=50K -54,Private,222882,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -24,Private,44738,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -25,Federal-gov,406955,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,260761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,82889,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -42,Local-gov,19700,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -23,Private,114357,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -36,Private,288049,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -79,Self-emp-inc,97082,12th,8,Widowed,Sales,Not-in-family,White,Male,18481,0,45,United-States,>50K -46,Private,23545,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -75,?,36243,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,303187,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,44,?,>50K -37,Private,125933,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -23,Self-emp-not-inc,282604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K -24,?,108495,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,31360,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,152889,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -29,Private,251854,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Private,224019,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -39,Private,140477,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K -26,Private,301563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,125796,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -61,Private,229744,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -23,Private,120068,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,218889,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -31,Local-gov,295589,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,458558,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -35,State-gov,349066,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,218550,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,14084,0,16,United-States,>50K -34,Private,29933,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,25497,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,281852,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,80,United-States,<=50K -38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -33,Private,44623,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,74501,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,114758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,180137,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -29,State-gov,106972,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,197200,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K -26,Local-gov,166295,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,55,United-States,<=50K -49,Private,68505,9th,5,Divorced,Other-service,Not-in-family,Black,Male,0,0,37,United-States,<=50K -39,Private,176186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -50,Private,83311,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,437909,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,361138,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K -53,Private,266529,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,206827,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,Private,110748,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -63,Private,55946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,263094,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -36,Private,107737,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -65,Self-emp-inc,139272,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -17,Private,58037,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,187513,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -21,Private,154235,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -43,Private,102114,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,65624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,40767,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,193130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -45,Self-emp-not-inc,184285,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,397877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,30,United-States,<=50K -67,Self-emp-inc,51415,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,177775,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,273989,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,210142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Federal-gov,33289,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -46,Private,90758,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,>50K -39,Private,352248,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -59,?,160662,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,60,United-States,<=50K -37,Private,30269,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,50,United-States,<=50K -23,Self-emp-not-inc,47039,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,162391,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1651,40,United-States,<=50K -50,Self-emp-inc,288630,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,180871,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Private,117400,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,96020,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,408208,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,30,United-States,<=50K -26,Private,243560,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,?,<=50K -34,Private,219619,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,397752,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,12,Mexico,<=50K -53,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -28,Private,246974,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,State-gov,108945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,14344,0,40,United-States,>50K -46,Private,20534,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -42,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K -27,Private,58124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,82393,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -42,Private,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,133986,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,171133,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -21,Local-gov,136208,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -43,Private,175133,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -55,?,142642,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,215243,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -30,Private,269723,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,286419,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,191834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,193815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -41,Private,324629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Yugoslavia,<=50K -37,Private,162834,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,76714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -23,Local-gov,248344,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -19,Private,118535,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,State-gov,267989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Private,49436,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K -69,?,248248,1st-4th,2,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,34,Philippines,<=50K -40,Private,439919,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,177625,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,143152,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,27,United-States,<=50K -21,Private,185551,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K -57,Private,180636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,115602,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -32,Federal-gov,145983,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -37,Local-gov,251396,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K -66,Private,262285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,<=50K -53,Self-emp-inc,197189,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -44,Private,151504,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,168854,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K -50,Private,237729,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,2444,72,United-States,>50K -30,Self-emp-not-inc,176185,Some-college,10,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,60,United-States,>50K -19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -47,Federal-gov,44257,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -49,Private,255559,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -49,?,228372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -32,Private,36302,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,152874,Some-college,10,Widowed,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,Private,176907,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Private,80058,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,48,United-States,<=50K -28,Private,263728,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,26716,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,186376,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,42,United-States,>50K -65,?,137354,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -38,State-gov,149135,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,328606,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,14084,0,63,United-States,>50K -30,Private,207668,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,Hungary,<=50K -19,Private,194608,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,323421,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,285855,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,209085,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K -33,Private,169879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,47,United-States,>50K -33,Private,76493,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -22,Private,315524,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,30,Dominican-Republic,<=50K -55,Private,60193,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,320862,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,153035,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,111567,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,Germany,>50K -36,Private,185848,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,198493,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K -57,Self-emp-inc,231781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,123557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,107435,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,326400,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,212760,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,193961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -31,Private,173002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,425627,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -25,Private,113436,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -34,Self-emp-not-inc,114691,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,91093,Some-college,10,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Private,161155,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,60772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -59,Federal-gov,100931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Private,110331,Prof-school,15,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,>50K -35,Private,215419,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Self-emp-not-inc,34007,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -36,State-gov,137421,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,37,Hong,<=50K -51,Private,29887,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1590,40,United-States,<=50K -24,Private,228772,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -39,?,103986,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1590,40,United-States,<=50K -21,?,187937,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,52,United-States,<=50K -22,Private,384787,9th,5,Never-married,Sales,Other-relative,White,Female,0,0,40,Mexico,<=50K -34,Private,27565,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,Amer-Indian-Eskimo,Female,0,0,27,United-States,>50K -43,Private,313022,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K -33,Private,251120,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -19,Private,198459,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,2001,40,United-States,<=50K -33,Private,206280,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,46870,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,350538,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -51,Private,159755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,235847,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K -34,Private,66309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,348059,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,Private,89347,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,236543,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,68,United-States,<=50K -34,Private,121640,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,44,United-States,<=50K -56,Private,56331,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,32,United-States,<=50K -48,Local-gov,187969,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K -53,State-gov,205949,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -28,Private,175343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -32,Private,130057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,Private,53598,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,374313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -19,Private,176570,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -51,Federal-gov,140035,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,70261,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,241126,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,96585,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,139753,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,81282,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,84726,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,92215,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,203181,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,36,United-States,<=50K -47,Private,23545,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,178615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,120268,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,91716,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,75,United-States,<=50K -19,Private,164339,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,1055,0,70,United-States,<=50K -36,Private,245521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K -49,Private,209057,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,170020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,31008,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,165505,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,155983,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,189251,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Local-gov,295289,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -20,?,371089,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,210812,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K -41,Private,187821,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K -32,Local-gov,191731,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,291407,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,104359,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,24763,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,7443,0,40,United-States,<=50K -43,Private,104660,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,4934,0,40,United-States,>50K -44,Private,221172,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Self-emp-inc,234738,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K -39,Private,167140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,195744,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,389856,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Private,54732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -24,Private,116934,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -24,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,3674,0,40,United-States,<=50K -55,Private,463072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -27,Private,107236,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,592930,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K -18,Private,151747,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,111797,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K -75,Self-emp-not-inc,146576,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K -51,Private,189551,HS-grad,9,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -62,Private,174201,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -37,Private,201247,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,182163,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -22,Private,369549,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -58,Private,366324,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -66,?,175891,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,117747,HS-grad,9,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,1573,35,?,<=50K -24,Private,438839,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Local-gov,160829,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -36,Private,32958,Some-college,10,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Local-gov,200808,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,Puerto-Rico,<=50K -52,Private,379682,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K -21,Local-gov,129050,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -66,Self-emp-inc,150726,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,1,?,<=50K -34,Private,516337,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,195767,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -33,Federal-gov,137059,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -39,Private,367260,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,<=50K -43,Private,343121,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Private,249720,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K -47,Private,133969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,2885,0,65,Japan,<=50K -57,Self-emp-inc,180211,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,>50K -19,Private,263338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -76,?,209674,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -38,Private,169104,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -27,Private,192236,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,31659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,335067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Private,173673,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -18,?,191117,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -65,Private,87164,11th,7,Widowed,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -48,Private,70668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K -43,Private,233130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -32,State-gov,171111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,37,United-States,<=50K -18,Private,34125,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K -41,Private,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,366876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,445382,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,33644,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,Private,202560,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -27,Private,706026,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,33521,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -42,Private,230684,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -19,Private,281704,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,8,United-States,<=50K -47,Private,101299,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,153997,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,Puerto-Rico,>50K -65,Private,200408,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K -56,Private,178033,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,4416,0,60,United-States,<=50K -45,?,144354,9th,5,Separated,?,Own-child,Black,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,55139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,266529,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,312477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K -20,Private,223515,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,176138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,194891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,154728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,228476,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,145155,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Local-gov,138597,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -26,Private,257910,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,198431,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,347322,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,209022,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -30,Private,67187,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K -19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -45,Self-emp-not-inc,244813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -78,Private,163140,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -39,Private,288551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -43,Local-gov,301638,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K -35,Private,167482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,292570,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K -19,Private,230165,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -45,Private,185385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K -46,Local-gov,230979,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,4787,0,25,United-States,>50K -36,Private,185394,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,?,304872,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,95551,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -36,Private,182954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,Dominican-Republic,<=50K -34,Self-emp-inc,200689,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,278403,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -50,Private,358740,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,England,<=50K -47,Private,28035,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,204141,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,162140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2339,40,United-States,<=50K -28,Private,192384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -24,Private,151443,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,30,United-States,<=50K -48,Private,199763,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -22,Private,254547,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -43,Federal-gov,347720,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,29054,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -19,?,119234,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K -55,Private,223594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,Puerto-Rico,>50K -20,?,99891,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -54,Self-emp-not-inc,36327,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,165539,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Black,Female,4101,0,40,Jamaica,<=50K -26,?,217300,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -46,Local-gov,324561,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -60,Local-gov,202473,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,103643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K -32,Private,226883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -53,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,107142,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K -33,Private,374833,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K -20,Private,199011,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -45,Private,35136,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -19,?,80710,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,145160,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,58,United-States,<=50K -42,Self-emp-not-inc,193882,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,172893,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,274106,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,Mexico,<=50K -47,Federal-gov,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -32,?,143699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,334366,11th,7,Separated,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K -27,Private,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,129007,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -50,Private,474229,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,92968,Masters,14,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,47199,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K -53,State-gov,153486,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,166893,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -21,Private,147655,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Federal-gov,191073,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,374524,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -52,Self-emp-not-inc,284648,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,>50K -32,Private,26543,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,2231,40,United-States,>50K -27,Private,704108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -70,State-gov,345339,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,115331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -42,Local-gov,277256,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,State-gov,206139,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -59,Private,177120,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,170091,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -31,Local-gov,162041,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,387068,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,Private,116637,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,79682,10th,6,Never-married,Priv-house-serv,Other-relative,White,Male,0,0,30,United-States,<=50K -36,Private,116608,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,155489,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K -26,Private,75654,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -25,Private,231016,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K -38,Private,192930,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K -46,Private,59287,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,166606,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,105813,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -29,Private,244721,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K -49,Private,44434,Some-college,10,Divorced,Tech-support,Other-relative,White,Male,0,0,35,United-States,<=50K -40,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Private,144460,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,Italy,<=50K -29,Private,485944,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,132963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,247558,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Self-emp-not-inc,217404,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,142712,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,150993,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,180690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,183274,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,30,United-States,<=50K -40,Private,174515,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,145370,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K -74,Self-emp-not-inc,160009,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -47,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,140011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -44,Private,57600,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -23,Private,77581,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,238959,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,?,>50K -23,Private,256278,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Other-relative,Other,Female,0,0,30,El-Salvador,<=50K -51,Private,133461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K -23,Private,195411,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,State-gov,193047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K -66,?,59056,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,214399,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,1721,24,United-States,<=50K -19,Private,158343,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K -40,Private,153132,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,31,United-States,<=50K -24,Private,119629,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -34,Private,104293,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,110844,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,27,United-States,<=50K -67,State-gov,239705,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,12,?,<=50K -28,Private,193125,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -41,Local-gov,183224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K -29,Private,146719,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Private,181758,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Federal-gov,43953,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Private,175558,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,Germany,<=50K -39,Private,177154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -18,?,261276,Some-college,10,Never-married,?,Own-child,Black,Female,0,1602,40,Cambodia,<=50K -37,Private,59313,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K -42,Private,121264,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -76,Private,93125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1424,0,24,United-States,<=50K -41,Private,46221,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,4787,0,60,United-States,>50K -42,Private,55854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,185397,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,139347,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -18,Private,103339,10th,6,Never-married,Sales,Own-child,White,Female,0,1719,16,United-States,<=50K -31,Private,56026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,49255,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K -50,Private,202044,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,159255,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Private,315203,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Dominican-Republic,<=50K -39,Federal-gov,193583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,60,United-States,<=50K -64,Private,149044,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2057,60,China,<=50K -41,Local-gov,180096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,289257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,183765,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -84,Private,65478,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,England,<=50K -18,Private,170544,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,242832,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -32,Private,113838,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,239409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -20,Self-emp-not-inc,428299,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,220055,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,150528,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,150154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,324231,9th,5,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,295279,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,37,United-States,<=50K -47,Federal-gov,34845,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Germany,>50K -60,Local-gov,227232,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,316323,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,United-States,>50K -39,Private,147548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,109015,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,1876,40,United-States,<=50K -31,Private,319146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,Mexico,>50K -28,Private,66893,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,50,United-States,>50K -50,Self-emp-not-inc,176867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,40,United-States,<=50K -50,Self-emp-not-inc,118058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -54,Private,335177,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,?,<=50K -34,Private,283921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -18,State-gov,427515,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -19,Self-emp-inc,136848,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K -58,State-gov,136982,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Honduras,<=50K -62,Private,199021,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K -66,Private,117162,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -44,Private,336513,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,198318,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,98361,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,173938,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,171128,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,183523,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -46,Private,191204,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,192900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,Local-gov,189634,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,120572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -46,Private,309212,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K -35,Private,162256,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,6849,0,40,United-States,<=50K -38,Self-emp-not-inc,43712,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -48,Self-emp-inc,103713,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -17,Private,33138,12th,8,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Local-gov,312427,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,Puerto-Rico,<=50K -58,Private,159378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -46,Private,343579,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,77,United-States,<=50K -51,Private,95946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Self-emp-inc,144778,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,50,United-States,>50K -31,Private,43716,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,43,United-States,<=50K -20,Private,301199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -24,Private,146706,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Federal-gov,125892,Masters,14,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,15024,0,40,United-States,>50K -30,Private,169002,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,97277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -31,Self-emp-not-inc,213643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,60,United-States,<=50K -52,Self-emp-inc,230767,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,Cuba,>50K -29,Federal-gov,116394,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,172548,9th,5,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -39,Private,80410,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,85708,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,253121,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,34127,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -62,Private,113440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,320277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,88373,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,16,United-States,<=50K -24,Private,266971,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,155293,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -50,Private,175804,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -31,Private,387116,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,36,Jamaica,<=50K -46,Local-gov,114160,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -63,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -52,Local-gov,152795,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -74,Self-emp-inc,228075,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,25,United-States,>50K -19,Private,378418,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -25,Private,135645,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Private,67725,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,340171,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,186191,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -27,Self-emp-not-inc,328518,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,White,Male,0,0,30,United-States,<=50K -46,Self-emp-not-inc,142222,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,1151,0,60,United-States,<=50K -38,Private,180342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,112900,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,149784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,198003,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,120238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,206046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,254746,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,52028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K -32,Private,234976,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K -17,?,41643,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,153489,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,?,181705,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -44,Private,456236,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,271567,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,184556,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,411273,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,215620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -38,Private,115336,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,70,United-States,<=50K -49,Private,50748,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,1506,0,35,United-States,<=50K -46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,198145,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,14,United-States,>50K -54,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,110028,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,106437,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,State-gov,50048,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -30,Private,167476,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,149427,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -24,Private,117210,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,36,United-States,<=50K -38,Private,154210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -47,Self-emp-inc,224314,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,258862,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,18,United-States,<=50K -49,Private,232586,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,132704,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K -32,Private,53260,HS-grad,9,Divorced,Other-service,Unmarried,Other,Female,0,0,28,United-States,<=50K -33,Private,251117,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -38,Self-emp-inc,141584,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K -34,Local-gov,211239,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,40,United-States,<=50K -28,Self-emp-not-inc,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,State-gov,109445,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -25,Private,133373,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,166302,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,214637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Private,111275,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -21,Local-gov,212780,12th,8,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,20,United-States,<=50K -34,Private,37676,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Private,223763,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,Private,202102,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,327779,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -58,Private,150560,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K -44,Private,320277,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,336540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,231348,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,146268,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -27,Private,31757,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K -25,Private,192302,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,Private,98283,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K -43,Local-gov,265698,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -21,Private,212407,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,85995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,214617,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K -37,Private,216924,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,>50K -34,Private,55717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K -34,Private,405713,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,122913,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,229939,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,103456,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,166740,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -50,Self-emp-not-inc,124793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,26326,Assoc-voc,11,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -56,State-gov,93415,HS-grad,9,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -44,Local-gov,178417,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K -54,State-gov,32778,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,95108,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,133584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -36,Federal-gov,54159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,48988,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,33731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -62,Private,261437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,233427,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,330836,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -67,Local-gov,312052,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,39551,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -22,Private,202871,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K -23,Self-emp-not-inc,236804,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -20,Private,147171,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -23,Private,132053,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,318351,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1741,40,United-States,<=50K -33,Private,198727,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,206351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,163729,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,?,484298,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,344278,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K -58,Private,100054,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,70,United-States,>50K -53,Private,283743,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K -41,Private,91316,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,233923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,237903,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,229741,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,120781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K -44,Local-gov,31251,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,43819,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -42,Private,331651,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,50,United-States,>50K -64,Private,169871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,112956,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,206010,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -36,Private,290861,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,391874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,201822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K -32,Private,257863,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,355287,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,Mexico,<=50K -40,Private,225432,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,118161,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,336906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,101709,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -39,Private,139647,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,<=50K -33,Private,106670,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -26,Private,164737,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,167848,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,234372,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,180985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -57,Local-gov,261584,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,211517,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1669,45,United-States,<=50K -44,Local-gov,188808,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,292592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -44,Private,188615,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -17,Private,350995,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -62,Private,78273,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,406664,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -46,Private,168262,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,?,199495,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -63,Private,225102,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K -23,Self-emp-not-inc,188925,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -21,Self-emp-inc,265116,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,529104,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,198316,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,Japan,<=50K -40,Private,116632,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,80,United-States,<=50K -27,Federal-gov,491607,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,32,United-States,<=50K -27,Private,255979,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,30271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -30,Self-emp-inc,205733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -36,Private,107302,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -58,Self-emp-not-inc,143731,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -57,Private,426263,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -22,Private,50058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Private,172962,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,Private,153484,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -43,Private,174051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -19,?,91278,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,161745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,286146,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,176897,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,139126,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,238179,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2339,45,United-States,<=50K -44,State-gov,208163,Assoc-voc,11,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,162282,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -18,?,152641,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,237432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -20,Private,203914,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -34,Private,101345,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -20,?,202994,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -54,Local-gov,68015,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -46,?,280030,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,155657,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,69887,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -31,Private,150309,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,<=50K -17,Private,278414,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -27,Private,97165,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -20,Private,314422,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,123983,Some-college,10,Separated,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -33,Local-gov,368675,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,285747,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -38,Private,363395,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -90,Local-gov,187749,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -28,Private,162298,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,111963,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -44,Local-gov,193755,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,199832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,222081,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,35,United-States,<=50K -34,Private,357145,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -17,Private,99175,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Private,182268,Preschool,1,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,396895,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -76,Local-gov,169133,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Private,175548,HS-grad,9,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K -37,Private,126011,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,95989,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -54,Private,103700,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,166497,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -31,Private,72887,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,47,United-States,>50K -35,Private,231180,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -56,Private,186556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -40,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,176967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,?,133515,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,France,<=50K -38,Private,164050,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -43,Private,342567,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -62,?,73091,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Private,230899,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -50,Private,271160,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Self-emp-inc,253062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -19,Private,43937,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,127314,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -47,Private,262043,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,225504,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Local-gov,149508,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -66,Self-emp-not-inc,176315,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,401,0,20,United-States,<=50K -21,?,301853,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,195322,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Federal-gov,204900,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -54,Local-gov,231482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -66,Self-emp-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K -60,Federal-gov,608441,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,229124,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -18,Private,140164,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,197651,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,43,United-States,<=50K -21,Private,89991,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,182013,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -81,?,26711,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,2936,0,20,United-States,<=50K -46,Private,181363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,?,242221,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,38,United-States,<=50K -31,Private,168906,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -46,Private,305160,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,251474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,27776,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K -44,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -62,Private,109190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -56,Private,21626,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,43,United-States,<=50K -48,Private,49278,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -67,Private,110331,9th,5,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -23,Private,173851,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,102858,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,42,United-States,<=50K -29,Private,39257,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Private,141657,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,233802,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -41,Private,178431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -40,Private,260696,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,470486,1st-4th,2,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1719,40,Mexico,<=50K -38,Private,67666,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K -46,Private,72896,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -30,Private,229636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -61,State-gov,151459,10th,6,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -52,Private,169549,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,148211,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3674,0,50,United-States,<=50K -26,Private,290286,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K -25,Private,131341,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Cuba,<=50K -41,Private,172828,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K -54,Private,178530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -52,Private,42902,9th,5,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,268893,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,420779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,35,United-States,<=50K -36,Private,111128,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,63516,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -36,Self-emp-not-inc,104772,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K -41,Private,130408,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -60,Private,258869,Doctorate,16,Separated,Priv-house-serv,Unmarried,White,Female,0,0,30,Nicaragua,<=50K -27,Private,96718,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K -29,Private,298696,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,184098,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Private,126838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,353808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -73,Self-emp-inc,80986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -44,Private,282062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,230767,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K -33,Private,123833,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,220132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -43,State-gov,24763,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K -54,Private,146409,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,33487,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,83311,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -27,Private,204648,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Private,187295,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,Private,117746,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,109009,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,196328,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -41,Private,187881,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3942,0,40,United-States,<=50K -41,Private,255824,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,114605,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -52,Private,150812,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,215892,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,2824,50,United-States,>50K -27,Private,101597,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,37894,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,30,United-States,<=50K -21,?,356772,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,288353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,94809,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -36,Self-emp-not-inc,179896,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3137,0,40,United-States,<=50K -39,Private,136531,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K -18,Private,159561,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -45,State-gov,130206,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,300871,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,344073,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,1408,50,United-States,<=50K -36,State-gov,112074,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,152545,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -72,?,237229,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,341672,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -48,Private,193553,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -39,Self-emp-inc,172927,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -42,Private,66006,10th,6,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,153047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -40,Private,149466,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -26,Private,289700,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -64,Private,108054,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,22,United-States,<=50K -18,Private,88440,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K -21,Private,193219,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Jamaica,<=50K -34,State-gov,327902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -43,Private,193494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,119017,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -33,Private,189368,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -35,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -72,Self-emp-not-inc,298945,Bachelors,13,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,>50K -26,Private,330263,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,187728,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K -32,Federal-gov,90653,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,1380,40,United-States,<=50K -58,Private,349910,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,122857,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K -40,Private,70539,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K -45,Private,110243,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,216116,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -54,Self-emp-inc,125417,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,156667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K -40,Private,99434,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K -22,State-gov,151991,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -38,Local-gov,210991,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -55,Local-gov,61708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,108256,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,114544,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -72,Private,89299,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -30,Self-emp-inc,109282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -38,Self-emp-not-inc,423616,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,24,United-States,>50K -63,Local-gov,41161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -61,Self-emp-inc,171831,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,45,United-States,<=50K -36,Private,218729,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,30,United-States,>50K -29,Private,157262,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Private,275338,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,45,United-States,<=50K -35,Self-emp-not-inc,468713,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,?,214541,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -44,State-gov,156642,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -28,Private,114158,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K -41,Private,118768,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -34,Local-gov,31391,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K -36,Private,117381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -35,Self-emp-inc,338320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,291979,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,112160,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,153536,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -47,Private,215686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,<=50K -29,Private,632593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,167877,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -63,Self-emp-not-inc,26904,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K -39,Private,154410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,188703,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,225399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,149347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -24,Private,230229,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,Private,565313,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Private,155862,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -47,Private,225456,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K -34,State-gov,62327,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,34292,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,38,United-States,<=50K -52,Private,42924,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,279724,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,48,United-States,>50K -40,Self-emp-inc,475322,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,193260,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,30,India,<=50K -24,Local-gov,197552,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,206609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,241616,HS-grad,9,Never-married,?,Unmarried,White,Male,0,2001,40,United-States,<=50K -58,Private,186385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,8,United-States,<=50K -37,Private,37778,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K -25,?,344719,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -37,Private,179137,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K -22,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -57,Private,77927,5th-6th,3,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K -51,Private,183200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K -24,Private,321435,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,120277,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K -37,Private,167415,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -41,Private,306495,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,148900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -55,Private,141807,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,152683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,35,United-States,<=50K -35,Private,260578,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -43,Private,154374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K -23,Federal-gov,344394,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -43,Private,184625,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -27,Self-emp-not-inc,300777,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -46,Private,180695,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Local-gov,132304,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,76008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,74275,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,109472,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,180475,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,146042,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,3103,0,60,United-States,>50K -42,Private,29702,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,126822,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -38,Private,298841,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,State-gov,243666,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,146574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,240124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,200469,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,3887,0,40,United-States,<=50K -38,Federal-gov,190895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -40,Self-emp-not-inc,213416,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,Mexico,<=50K -42,Local-gov,255675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,98828,HS-grad,9,Widowed,Prof-specialty,Unmarried,Other,Female,0,0,35,Puerto-Rico,<=50K -46,?,427055,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,>50K -45,Self-emp-not-inc,220978,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -21,Private,48301,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,416356,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,200450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -26,Self-emp-not-inc,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Private,227890,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,>50K -21,Private,145389,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -33,Private,34748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,20,United-States,>50K -28,Private,287268,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,?,283806,9th,5,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,167761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,257933,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -62,?,225657,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -18,Private,353358,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -41,Private,188307,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,308812,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,312667,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,287454,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -29,Private,201155,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -36,Private,150057,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,State-gov,381581,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,191265,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,190543,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -44,Private,203761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Private,106819,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,19,United-States,<=50K -33,Private,159247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,192507,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,281012,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K -53,Private,254285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,175374,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K -19,Private,310483,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -59,Self-emp-not-inc,165867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -40,Private,374367,Assoc-voc,11,Separated,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K -41,Private,309990,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K -21,Private,57951,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -37,Private,80638,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K -18,Private,201554,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,15,United-States,<=50K -63,Private,171635,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,373499,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,60,El-Salvador,<=50K -17,Private,345403,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,314177,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Private,277946,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,193945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,86010,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,0,0,11,United-States,<=50K -37,Private,95654,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Private,197150,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,El-Salvador,<=50K -35,Local-gov,405284,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -63,?,205110,10th,6,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,?,135046,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,158603,10th,6,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -38,Private,372484,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Private,221442,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K -34,Private,73161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,State-gov,50748,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,376647,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,25,United-States,<=50K -44,Private,188331,Some-college,10,Separated,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -46,State-gov,209739,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K -26,Private,53833,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -20,?,193416,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -57,Local-gov,130532,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -57,Self-emp-not-inc,291167,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,192806,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,33,United-States,<=50K -24,Private,176486,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,399123,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,1719,40,United-States,<=50K -24,Private,109869,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,341117,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Private,53833,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,?,320183,11th,7,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K -34,Private,251421,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,153551,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,23,United-States,<=50K -30,Private,496414,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,172987,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,99829,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -76,Federal-gov,25319,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -28,Private,230743,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,211345,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -32,Private,45796,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,53232,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,55,United-States,>50K -23,Private,183945,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -60,Private,85413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -36,Private,166549,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K -38,Private,184655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,48,United-States,<=50K -54,Self-emp-not-inc,104748,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -27,Private,293828,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -25,Private,165622,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -49,Federal-gov,207540,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -35,Private,199753,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -50,Federal-gov,176969,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,40,United-States,<=50K -42,Private,192014,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,United-States,<=50K -66,Private,207917,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,1797,0,20,United-States,<=50K -73,Private,145570,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -39,Private,233428,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,178948,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -55,Private,132887,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,3411,0,40,Jamaica,<=50K -26,?,208994,Some-college,10,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -58,Private,34169,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,25,United-States,>50K -45,?,28359,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,10,United-States,<=50K -39,Private,112264,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,87584,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,10,United-States,<=50K -41,Self-emp-inc,236021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -18,Private,279593,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K -18,Private,244115,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,United-States,<=50K -19,Private,164585,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,102766,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,280508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -48,State-gov,212954,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -50,Private,102615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -38,Private,101978,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,2258,55,United-States,>50K -38,Private,193026,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,1408,40,?,<=50K -46,Private,224202,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Local-gov,138575,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K -31,Private,176244,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -59,Private,168145,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,197387,5th-6th,3,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K -25,Private,258276,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,Private,277434,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,110861,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,350103,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,186830,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,45,United-States,<=50K -51,Private,106151,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,?,>50K -39,Self-emp-inc,170502,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,70,United-States,>50K -26,Self-emp-not-inc,31143,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,162580,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,35,United-States,<=50K -47,?,163748,Masters,14,Divorced,?,Unmarried,White,Female,0,0,35,?,<=50K -55,Private,101338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,170038,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,29702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -34,State-gov,392518,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,204704,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K -42,Private,208875,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,El-Salvador,>50K -32,Private,398988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,183611,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,101853,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,223669,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -55,Private,217241,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,276559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K -28,Private,238859,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -19,Private,112269,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,150553,9th,5,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -39,Private,215095,11th,7,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K -54,Private,20795,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,160594,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -36,Local-gov,142573,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Private,111939,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,206206,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,89991,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -55,Federal-gov,107157,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,236592,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -56,Private,247337,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,Private,175808,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,110862,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -18,Private,199039,12th,8,Never-married,Sales,Own-child,White,Male,594,0,14,United-States,<=50K -38,Private,117802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,>50K -22,Private,228306,Some-college,10,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -32,Private,32174,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,109633,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,331395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,<=50K -25,Private,197130,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,329530,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,<=50K -48,Private,107231,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,115815,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -40,Self-emp-not-inc,60949,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -54,Local-gov,238257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,444304,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,224232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,State-gov,102729,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,189878,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,183765,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K -36,Local-gov,206951,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,184687,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,196674,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,State-gov,110517,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4064,0,40,India,<=50K -38,Self-emp-not-inc,187098,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -35,Private,148334,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -25,?,218948,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,32,Mexico,<=50K -54,?,156877,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Self-emp-inc,199765,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -70,Local-gov,111712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,22,United-States,<=50K -48,Self-emp-not-inc,172034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,425830,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,93227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1977,60,Taiwan,>50K -28,Self-emp-not-inc,112403,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,83089,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,Mexico,>50K -46,Self-emp-inc,98929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -59,Private,66356,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,4865,0,40,United-States,<=50K -24,Private,116358,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,2339,40,Philippines,<=50K -31,Private,306459,1st-4th,2,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Honduras,<=50K -33,Private,118941,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -74,Self-emp-inc,231002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -55,Private,41108,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,2258,62,United-States,>50K -26,Private,34402,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,263908,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -65,Private,169047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -29,Local-gov,82393,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Male,0,1590,45,United-States,<=50K -17,Private,108085,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -47,State-gov,61062,Doctorate,16,Separated,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2354,0,45,United-States,<=50K -44,Self-emp-not-inc,111483,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -37,Private,160916,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,289148,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,191803,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,137320,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,156464,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,29874,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K -44,Private,230592,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K -50,Private,98975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -21,Private,162228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,411007,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,15831,0,40,United-States,>50K -31,Private,108322,Some-college,10,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,28,United-States,<=50K -22,Private,201490,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -53,Private,151159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,118535,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -31,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Private,229148,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,50,Outlying-US(Guam-USVI-etc),<=50K -56,Private,53366,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Local-gov,264436,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,236523,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,403552,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K -56,Private,59469,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -28,Private,114673,Masters,14,Never-married,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,236599,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,191722,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,54,United-States,>50K -25,Private,206600,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,48,Mexico,<=50K -18,Private,205894,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -72,Private,225780,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,142977,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -35,Private,209214,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,35,United-States,>50K -59,Private,116442,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,119545,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,7688,0,50,United-States,>50K -20,Private,311376,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,257068,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,37,United-States,<=50K -28,Private,114053,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -26,Private,50103,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,161676,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,265204,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,350131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K -20,Private,142673,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,State-gov,76767,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K -47,Local-gov,162187,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -32,Private,180603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,195372,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -25,Private,233994,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,252253,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,112497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,124827,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,404616,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -19,Private,112432,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,58,United-States,<=50K -19,Private,184207,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Local-gov,216269,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,134737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,209103,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K -32,Private,114746,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,<=50K -34,Private,261799,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,>50K -31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,?,177461,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -28,Private,87632,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -51,Private,282549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,40,United-States,<=50K -18,?,97474,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,65704,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -72,?,94268,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -41,Private,124956,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,90,United-States,>50K -38,Self-emp-not-inc,180220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -41,?,199018,Some-college,10,Divorced,?,Not-in-family,White,Male,0,1504,40,United-States,<=50K -40,Private,309311,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,176101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K -26,Local-gov,197430,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,?,251854,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,35,?,>50K -26,Private,102476,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -66,Local-gov,179285,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3432,0,20,United-States,<=50K -50,Private,102346,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,?,<=50K -26,Private,96130,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Local-gov,195258,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -42,Private,344060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,Japan,>50K -36,Private,195516,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,462832,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,Trinadad&Tobago,<=50K -23,Private,203203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Federal-gov,217647,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,82552,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -23,Private,259496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,133935,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Private,129246,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,237044,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,12,United-States,<=50K -65,?,369902,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -26,Private,476558,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -49,Federal-gov,168598,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -30,Self-emp-not-inc,250499,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,>50K -19,Private,375079,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -31,State-gov,557853,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,47,United-States,<=50K -35,Private,239409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,246965,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Private,313945,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K -58,?,198478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -56,Self-emp-not-inc,32855,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,51151,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,166961,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -27,Private,178713,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -51,Private,158746,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -61,State-gov,347445,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,84306,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,146352,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -20,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,184456,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -25,Private,156334,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,149347,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Poland,>50K -20,Private,285671,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,25,United-States,<=50K -33,Private,236481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K -33,Self-emp-not-inc,303867,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -41,Self-emp-not-inc,203451,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -18,Private,130849,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,36851,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -47,Private,168262,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K -56,Self-emp-inc,211804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -39,Private,370585,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,520759,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -17,Private,266072,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K -19,?,425447,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,197565,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,664821,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -60,Private,282421,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,?,<=50K -31,Self-emp-not-inc,81030,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,138892,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -68,Private,166149,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,2206,30,United-States,<=50K -39,Private,337898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -32,Private,183304,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -53,Self-emp-inc,137815,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Self-emp-inc,144579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,90,United-States,<=50K -18,?,67793,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,60,United-States,<=50K -30,Private,59496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2407,0,40,United-States,<=50K -33,State-gov,31703,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -46,State-gov,119904,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,55,United-States,>50K -47,Self-emp-not-inc,159869,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,175323,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K -33,Private,857532,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -83,Local-gov,107338,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K -19,Private,185695,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -67,Self-emp-not-inc,139960,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,212185,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -34,Private,105141,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,164197,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -76,Private,278938,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,459248,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -63,Federal-gov,31115,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -28,Private,51461,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -43,Private,315971,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -42,Private,97688,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -62,Private,159822,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,285224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -52,Private,72743,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,?,43535,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -42,Private,322385,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2407,0,40,United-States,<=50K -21,Private,164019,Some-college,10,Never-married,Farming-fishing,Own-child,Black,Male,0,0,10,United-States,<=50K -45,Private,156117,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -45,Private,170871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K -21,Private,138580,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Local-gov,155818,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K -22,Private,182163,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Local-gov,117496,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,30,United-States,>50K -25,Local-gov,227886,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,289293,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,40,Dominican-Republic,<=50K -45,Private,183598,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,30063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -40,Private,222596,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -43,Private,163215,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,>50K -35,Local-gov,103966,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K -36,Self-emp-not-inc,36270,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,386019,9th,5,Never-married,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K -44,Self-emp-not-inc,156687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,42,Japan,<=50K -21,?,494638,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -26,Private,183965,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,234474,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -30,Private,105908,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,162327,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,?,>50K -25,Private,186370,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,186212,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,188909,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,253267,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,35,Cuba,<=50K -54,Local-gov,105788,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,>50K -29,Private,81057,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,259352,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Self-emp-not-inc,285692,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -49,Self-emp-not-inc,182752,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -57,Federal-gov,135028,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K -54,Private,172281,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,50,United-States,<=50K -58,Private,81038,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -58,Private,72812,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,57929,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -42,Self-emp-not-inc,99185,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,186239,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Private,166330,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,99999,0,40,United-States,>50K -27,Private,197905,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,134766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -44,Self-emp-not-inc,325159,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -57,Private,112840,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -36,Private,66687,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,200639,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,152307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,55,United-States,>50K -23,Private,96748,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,344329,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -51,Private,97180,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -58,?,99131,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7298,0,40,United-States,>50K -35,Private,105821,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -55,Private,194371,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Canada,>50K -47,Private,184169,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -60,Self-emp-not-inc,44915,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K -28,Local-gov,134890,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,134026,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -19,?,182590,10th,6,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K -67,Self-emp-not-inc,221252,Masters,14,Divorced,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K -39,Private,61518,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,State-gov,98989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K -35,Private,32220,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Private,193047,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -32,Private,117444,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,114357,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -71,Private,345339,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,28,United-States,<=50K -28,?,147471,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,10,United-States,<=50K -30,Private,248384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,241013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -29,Local-gov,95393,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,171356,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,118291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,80,United-States,<=50K -47,Private,362654,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,204742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,62,United-States,<=50K -26,Private,195734,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2354,0,40,United-States,<=50K -61,?,42938,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,7,United-States,>50K -33,Private,389932,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K -33,Self-emp-not-inc,79303,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,198681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -60,?,88675,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,48520,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,80,United-States,<=50K -63,State-gov,99823,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K -24,Self-emp-not-inc,285580,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -24,Private,90046,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,207819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -18,Private,418176,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,86808,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -27,State-gov,271243,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,Jamaica,<=50K -48,Private,123075,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -46,Private,295791,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,227615,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,6,United-States,<=50K -25,Local-gov,192321,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -66,?,182378,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -36,?,103886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -61,Private,215766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,33440,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,250423,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -45,Private,154174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,?,238721,Bachelors,13,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,323020,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -42,Private,186376,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,72,Philippines,>50K -52,Self-emp-not-inc,209642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -29,Private,130045,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,49539,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,3674,0,40,United-States,<=50K -40,Private,31621,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,203488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,225053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,127738,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,303521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,45,United-States,<=50K -23,Private,423453,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K -35,Private,282979,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -73,Self-emp-not-inc,300404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,6,United-States,>50K -58,Self-emp-inc,190763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,120781,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -58,Private,156873,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,116358,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,1980,40,Philippines,<=50K -27,Private,178709,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,275421,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -65,?,94809,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,133584,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,183410,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,17,United-States,<=50K -38,Private,309230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Private,183580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -24,Private,207940,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -20,Private,117222,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K -24,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,34007,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -23,Private,103064,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,77071,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2339,35,United-States,<=50K -27,?,216479,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,24,United-States,>50K -55,Private,158651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -47,Private,431245,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,118710,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,460408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,104413,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -22,Private,171176,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,48,?,<=50K -21,Private,161902,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,127875,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,8,United-States,<=50K -53,Private,290640,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -60,Self-emp-not-inc,176839,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -47,Local-gov,193012,Masters,14,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K -26,Private,336404,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,201579,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -42,Self-emp-not-inc,177307,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K -30,Private,342709,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,190091,Assoc-voc,11,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,46,United-States,<=50K -17,Private,342752,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -25,Private,40915,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -41,Private,227644,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -84,Self-emp-inc,172907,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -51,State-gov,196395,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -26,Private,122206,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -38,State-gov,346766,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,381153,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,292504,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,52090,Prof-school,15,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K -33,Private,179509,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,234057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,114994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -27,Private,257033,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,60,United-States,<=50K -49,Private,31807,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,199703,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K -44,Private,30126,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,213019,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -60,Private,178312,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,65,United-States,>50K -61,Private,33460,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,107682,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -26,Private,402998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K -20,Private,79691,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,153005,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,147280,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,United-States,<=50K -34,Private,284629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,434463,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,39,United-States,<=50K -21,Private,460835,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K -24,Private,219754,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,State-gov,293628,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,10,?,<=50K -22,Private,189924,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Private,318947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,194733,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,358655,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -47,Private,280030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -63,Private,156120,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,?,<=50K -20,Private,342414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,24,United-States,<=50K -33,Private,124187,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K -22,?,125040,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,189878,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,281627,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1564,30,United-States,>50K -21,Self-emp-not-inc,409230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,162887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -29,Private,162312,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K -42,Private,52781,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,129102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,164526,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,>50K -37,Private,87757,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Self-emp-not-inc,211762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,33105,Some-college,10,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,220454,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,188563,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -50,Local-gov,117496,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K -39,State-gov,252662,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,50,United-States,>50K -31,Private,409622,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,36,Mexico,<=50K -37,Local-gov,175979,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,60,United-States,<=50K -36,Private,187847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -51,Self-emp-not-inc,71046,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -49,Private,195727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,252752,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -36,Private,188888,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,188729,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,50,United-States,<=50K -43,Private,50197,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,167777,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,<=50K -23,Private,163090,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -48,State-gov,122066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -30,Private,205659,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Thailand,>50K -37,Private,390243,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K -50,Private,195638,10th,6,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,98809,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,5013,0,45,United-States,<=50K -37,Private,446390,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -41,Private,86399,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -46,Private,44671,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,306868,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,328466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K -56,Local-gov,155657,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,178610,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -17,Private,148345,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -34,Local-gov,231826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,<=50K -36,Private,331395,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,240358,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -30,Private,107793,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K -41,Private,171550,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,283293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,198196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,State-gov,237903,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,349884,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -61,Private,128230,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Federal-gov,199934,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -20,?,121313,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,154950,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,172232,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K -18,Private,127388,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,393829,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Private,269687,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,138966,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -51,?,81169,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,38,United-States,<=50K -69,?,167826,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,178564,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,189092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -65,Self-emp-inc,178771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,41432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -71,Self-emp-not-inc,238479,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -52,Private,469005,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K -31,Private,230912,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -36,Private,398931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K -40,Federal-gov,150533,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,United-States,>50K -61,Private,154536,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,2001,40,United-States,<=50K -31,?,85077,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1902,20,United-States,>50K -66,Self-emp-not-inc,81413,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -40,Self-emp-inc,115411,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -37,Local-gov,117683,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,315476,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -43,Self-emp-inc,104892,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -31,Self-emp-not-inc,119411,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -42,Federal-gov,272625,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,>50K -24,State-gov,177526,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -55,Private,141877,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,240698,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,130302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,121240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Self-emp-not-inc,85982,Masters,14,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K -26,Private,152129,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -43,Private,334991,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -33,Private,309630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,161092,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,198069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -54,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,Germany,>50K -36,Self-emp-not-inc,223789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,292692,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -45,Private,140644,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,322980,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Male,2354,0,40,United-States,<=50K -50,Private,109937,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -28,Private,362491,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,54897,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -52,State-gov,189728,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -19,Private,278480,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,254711,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -32,Private,30271,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -60,Self-emp-not-inc,148492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K -29,Private,264166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,Mexico,<=50K -21,?,143995,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -67,Federal-gov,65475,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,414056,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,121287,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -76,Local-gov,104443,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1668,40,United-States,<=50K -37,State-gov,172425,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,185027,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Ireland,>50K -30,?,151989,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,51854,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,83671,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,180497,Bachelors,13,Never-married,Tech-support,Own-child,Black,Female,0,0,32,United-States,<=50K -33,Self-emp-not-inc,199539,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -44,Private,187720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -61,Private,98350,Preschool,1,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -35,Private,323120,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,44,United-States,>50K -70,Self-emp-not-inc,303588,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -29,Private,36440,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,74160,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -27,Self-emp-not-inc,208406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,267706,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K -63,Private,223637,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,United-States,<=50K -26,Private,253841,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Local-gov,173051,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Federal-gov,363630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7688,0,52,United-States,>50K -42,Private,212737,9th,5,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -32,Private,197457,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1471,0,38,United-States,<=50K -27,Private,285897,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K -33,Self-emp-inc,202153,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,116800,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K -24,Private,201799,Bachelors,13,Never-married,Transport-moving,Own-child,White,Female,0,0,84,United-States,<=50K -52,Private,241444,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,50,Puerto-Rico,<=50K -30,Private,206322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,>50K -23,Private,343019,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,188972,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -63,Self-emp-inc,215833,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,321223,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,191196,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,203836,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -40,Private,83827,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,England,<=50K -43,Private,252519,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Haiti,>50K -40,Private,130760,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,State-gov,258735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -69,Private,114801,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -40,Local-gov,105862,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,40,United-States,<=50K -90,Private,206667,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -87,Private,143574,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K -58,Private,31732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -74,Private,146365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -51,Private,266336,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,50,United-States,>50K -17,?,262196,10th,6,Never-married,?,Own-child,White,Male,0,0,8,United-States,<=50K -33,Private,132601,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -47,Self-emp-not-inc,114222,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -34,Private,94413,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -69,Private,174474,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,28,Peru,<=50K -49,Private,87928,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -41,Local-gov,575442,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,129396,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,26,United-States,<=50K -70,?,133248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -19,Private,209826,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -33,Private,116294,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -37,Private,113750,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,278522,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,38468,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -36,Private,143486,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,413760,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,264076,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,205903,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,161092,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -31,Federal-gov,168312,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,38772,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,191256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,?,246974,12th,8,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,131552,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -33,State-gov,295662,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Local-gov,125159,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Haiti,<=50K -40,Private,296858,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -44,Local-gov,184105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K -39,Private,312271,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,158508,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -25,Local-gov,281412,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -38,Private,31053,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,State-gov,54709,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K -42,Local-gov,328581,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -63,Self-emp-inc,96930,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Private,447555,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,198316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,195337,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,1506,0,45,United-States,<=50K -50,Self-emp-not-inc,279129,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,144478,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Poland,<=50K -37,Private,166497,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,184779,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -17,Private,152619,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,182246,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,209184,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -38,Private,187847,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,?,393122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -69,Private,29087,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,6,United-States,<=50K -21,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2463,0,50,England,<=50K -54,Private,39493,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,226500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -55,Federal-gov,321333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,515025,10th,6,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,237341,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -58,Self-emp-not-inc,281792,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,471452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,227791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K -65,Private,94552,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,153805,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K -52,Private,416059,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -50,Private,146310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,119098,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,?,179644,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K -52,Private,164135,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,164170,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -57,Private,218649,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,112780,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -61,Private,153790,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -29,Self-emp-inc,187450,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,104017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,30,United-States,>50K -64,Private,231619,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K -35,Private,142616,HS-grad,9,Separated,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -46,Self-emp-inc,200949,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,50,?,<=50K -56,Self-emp-not-inc,210731,7th-8th,4,Divorced,Sales,Other-relative,White,Male,0,0,20,Mexico,<=50K -40,Private,229148,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Jamaica,<=50K -61,Private,149405,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,67433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,156926,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -30,Private,207301,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1980,40,United-States,<=50K -26,Private,557236,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,172013,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,75333,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,24,United-States,<=50K -35,Private,33397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,214150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -43,Private,72791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,5178,0,40,United-States,>50K -34,?,167558,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -41,Private,115411,Some-college,10,Divorced,Sales,Own-child,White,Male,2174,0,45,United-States,<=50K -22,Private,115892,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,?,189282,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,27,United-States,<=50K -59,Local-gov,165695,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,322789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -30,Self-emp-not-inc,243665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Self-emp-not-inc,102388,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,170214,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -56,Private,267652,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,201141,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,41356,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,193701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -29,State-gov,165764,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,<=50K -47,Private,180551,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -81,Self-emp-not-inc,240414,Bachelors,13,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Federal-gov,61518,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,238768,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,106406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,172026,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -26,State-gov,624006,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,135924,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -53,Local-gov,229259,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -51,Private,192236,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3464,0,48,United-States,<=50K -29,Private,228860,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -52,Private,123011,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,34568,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,19847,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,141642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,36235,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,136405,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,32,United-States,<=50K -31,Private,48456,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,198992,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -68,Self-emp-inc,119938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,511231,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,181311,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,171215,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -21,Private,215039,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,13,?,<=50K -29,Private,235168,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,164682,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K -60,Self-emp-not-inc,73091,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,1876,50,United-States,<=50K -50,Private,241648,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,?,155190,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,2580,0,8,United-States,<=50K -29,Private,227890,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Private,147110,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K -62,Self-emp-not-inc,56317,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -34,Self-emp-inc,34848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K -19,Private,277708,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -46,?,206357,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -68,Local-gov,177596,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,90,United-States,<=50K -27,Private,199118,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -38,Self-emp-inc,312232,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,145166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -28,Private,263614,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,248445,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -59,Local-gov,223215,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -52,Self-emp-not-inc,194791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,133061,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -17,Private,100828,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -64,Private,66634,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,176760,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -19,Private,206599,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -52,Federal-gov,279337,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,182606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,?,<=50K -25,Private,29106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -26,Private,188767,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,66208,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -50,Private,167065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Federal-gov,96219,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -46,State-gov,76075,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,184402,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -22,Private,202153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,284651,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,159109,11th,7,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,203985,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -28,Private,182344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,161482,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -56,Private,286487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,45,United-States,<=50K -42,Private,209392,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,35,United-States,<=50K -46,Private,134242,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,172865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,395297,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,50524,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,?,174662,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,81243,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1876,40,United-States,<=50K -41,Private,116825,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -56,Private,110003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Federal-gov,208534,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -25,Private,262656,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,94235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -33,Private,181372,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -18,?,97318,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -33,Self-emp-not-inc,37939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,159442,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Ireland,<=50K -44,Private,138975,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,282948,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,3137,0,40,United-States,<=50K -45,Private,235892,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -20,Private,122649,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,107417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,20308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,235520,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -73,Self-emp-not-inc,252431,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,1,United-States,<=50K -36,Private,82743,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,Iran,<=50K -35,Private,243409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Germany,<=50K -62,Private,173601,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,147002,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -18,?,51574,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,38,United-States,<=50K -42,State-gov,160369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Private,484475,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,409902,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,96,United-States,<=50K -59,Federal-gov,61298,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,154174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,268726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -58,Local-gov,310085,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -56,Private,359972,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,219509,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K -38,?,212048,Prof-school,15,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,454508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,Iran,<=50K -37,Private,233322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,237943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,114222,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,?,115209,Prof-school,15,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -56,Private,155657,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,20,Yugoslavia,<=50K -22,State-gov,24395,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -40,Private,259307,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,163595,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,89705,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,290044,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,Canada,<=50K -55,Private,254627,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,State-gov,35683,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,58930,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Local-gov,115603,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,215190,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -30,Private,235124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,99999,0,40,United-States,>50K -41,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -34,Private,55176,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -22,Private,239612,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,433330,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,?,41107,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,Canada,<=50K -67,?,53588,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,159574,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,?,292774,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,190350,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,35,?,<=50K -39,Private,219483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,32,United-States,<=50K -33,State-gov,79440,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,Japan,<=50K -23,Private,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -31,Private,200835,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -70,?,103963,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K -38,Private,190759,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,State-gov,70209,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,60,United-States,>50K -28,Private,207473,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,El-Salvador,<=50K -66,Self-emp-inc,253741,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1825,10,United-States,>50K -32,Private,236543,12th,8,Divorced,Protective-serv,Own-child,White,Male,0,0,54,Mexico,<=50K -50,Private,34832,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -36,Private,172129,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,184823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,98791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -17,?,99695,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K -39,Private,206298,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,41888,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2415,70,United-States,>50K -23,Private,292264,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,State-gov,104361,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K -40,Private,83859,HS-grad,9,Widowed,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -63,Private,106910,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K -57,Local-gov,237546,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -60,Private,215591,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -41,State-gov,75409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -38,Private,308171,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,50,United-States,<=50K -32,?,377017,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,97295,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -42,Private,390781,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -55,State-gov,117357,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,?,>50K -18,Private,312353,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -19,Private,307761,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -56,Private,132026,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,45,United-States,>50K -59,Local-gov,114401,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1504,19,United-States,<=50K -38,Federal-gov,337505,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -43,Private,223881,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -32,Private,162604,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,140117,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,152629,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K -52,Private,213209,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,304223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,156736,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,12,United-States,<=50K -29,Private,199118,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -40,Private,225263,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -32,Private,110279,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -34,Private,386877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,104945,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,60,United-States,<=50K -17,Private,165457,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -28,Private,103432,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,Portugal,>50K -30,Private,180317,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,182926,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,83580,Some-college,10,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Female,0,0,4,United-States,<=50K -46,Private,124071,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K -41,Self-emp-inc,60414,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -65,?,180422,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,6723,0,38,United-States,<=50K -41,Local-gov,51111,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,187046,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -45,Local-gov,331482,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,152924,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,>50K -51,Private,122533,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -61,Private,95680,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -23,Private,193586,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K -66,?,249043,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -27,Private,384774,7th-8th,4,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,184117,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,20,United-States,>50K -22,Private,146540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,199191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Local-gov,476599,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,139268,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -62,Self-emp-not-inc,173631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -30,Self-emp-not-inc,226535,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,73679,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,166634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,170720,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -36,Private,186376,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -25,Private,130793,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,Private,136224,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,110110,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K -23,Private,180060,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -60,Private,163729,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,2597,0,40,United-States,<=50K -32,Private,553405,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K -31,Private,230246,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,71864,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,35,United-States,<=50K -36,?,229533,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,289991,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,350379,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K -27,Private,288341,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,32,United-States,<=50K -47,Private,216999,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -20,State-gov,318382,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,State-gov,86837,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -35,Private,239755,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -35,Local-gov,132879,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,83411,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K -48,Private,162816,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -56,Federal-gov,155238,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -49,Private,155489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -81,Self-emp-not-inc,184762,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,Greece,<=50K -25,State-gov,187508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,411037,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -43,Private,64631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -41,Private,118853,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,198739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -72,Private,106890,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,63921,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,96452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Private,176711,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,186934,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,44,United-States,>50K -58,Private,183893,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,60562,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -36,Local-gov,177858,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,98980,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,99,United-States,>50K -28,Private,180299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -47,Private,306183,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K -31,Private,124483,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,60,India,>50K -36,Private,183612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -26,Private,195555,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,104849,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -22,Private,190457,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Private,270728,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,Cuba,<=50K -53,Private,96062,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Local-gov,170682,11th,7,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,32,United-States,<=50K -38,Private,32897,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,260454,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -46,Private,563883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -28,Self-emp-not-inc,141702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,Private,184121,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -63,Private,84737,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -56,Self-emp-not-inc,335605,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,50,Canada,>50K -63,?,247986,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -53,Private,608184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K -42,Self-emp-not-inc,109273,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,102606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,403187,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,State-gov,671292,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K -46,Private,52291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -30,Private,229504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,173585,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K -57,Private,113974,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,190093,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,144351,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K -42,Private,251239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -20,Private,208908,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Local-gov,343447,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,246891,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,>50K -32,Private,147654,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -55,?,102058,12th,8,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,30269,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,177937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Local-gov,484911,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -32,State-gov,198211,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -42,Self-emp-inc,144236,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,223934,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,53373,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,163595,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -39,Private,180667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,State-gov,89487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,118551,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,444607,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -64,Private,298301,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,234406,12th,8,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,185602,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -56,Self-emp-not-inc,289605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,46987,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,2174,0,36,United-States,<=50K -32,Private,252257,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,211968,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,207685,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K -58,Local-gov,92141,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,138768,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,213887,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Local-gov,310355,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Germany,<=50K -19,Private,206777,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -17,Local-gov,170916,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,1602,40,United-States,<=50K -48,Private,83444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -29,Private,166210,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -38,Private,175441,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,155890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -32,Private,258406,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,72,Mexico,<=50K -30,Local-gov,289442,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -23,Local-gov,324637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,Private,241752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,279344,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,60,United-States,>50K -45,Private,154308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,267431,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -44,Private,317535,1st-4th,2,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,40,Mexico,<=50K -36,Private,115360,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,3464,0,40,United-States,<=50K -54,Self-emp-not-inc,114520,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,144084,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,55,United-States,<=50K -63,Private,199888,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -58,Local-gov,32855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -42,?,204817,9th,5,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K -20,Private,142233,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,132053,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K -70,Self-emp-not-inc,347910,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,218215,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,221661,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,392518,Assoc-acdm,12,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,377017,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,32,United-States,<=50K -21,?,162160,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -60,?,366531,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,160458,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Self-emp-inc,110457,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -39,Private,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -51,Private,274502,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Private,99212,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,231562,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K -22,Private,180052,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -59,Private,112798,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -59,Private,182460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -49,?,407495,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,70,United-States,<=50K -40,Local-gov,306495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -57,Self-emp-not-inc,327901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,191817,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Mexico,<=50K -25,Private,202091,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,154785,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,179557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -76,Private,174839,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,25,United-States,>50K -60,Private,164599,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,173858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,1902,40,China,<=50K -45,Self-emp-inc,155664,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -19,Private,143360,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K -68,Private,253866,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -66,Self-emp-not-inc,190160,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -45,Private,118889,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,?,213055,11th,7,Never-married,?,Not-in-family,Other,Female,0,0,20,United-States,<=50K -30,Private,197886,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,72,United-States,>50K -33,Private,175697,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,192259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -52,Private,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,132749,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,102771,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,322208,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,346594,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -71,?,158437,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Hungary,<=50K -32,Private,189265,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,167062,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Private,251836,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -24,Private,82777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,185528,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,261943,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,222756,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,132879,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,Private,398988,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,163067,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,206017,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -59,Private,291529,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K -54,Private,351760,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -64,Private,143110,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -51,Private,44000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,50,United-States,>50K -50,Self-emp-inc,262777,Masters,14,Separated,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,45,China,<=50K -37,Private,371576,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Private,184553,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -76,?,211453,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,2,United-States,<=50K -20,?,174461,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -45,Private,20534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K -31,Private,507875,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -60,Private,143932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,170070,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -19,?,191140,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,36222,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K -20,Private,184678,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -43,Private,149871,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Local-gov,32587,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,1485,40,United-States,>50K -18,Private,230215,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K -31,Private,174789,Bachelors,13,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,220939,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,161075,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,142169,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,408623,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -52,Private,366232,9th,5,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K -36,Private,150104,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -47,Private,82797,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,162951,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,41,United-States,>50K -33,Private,369258,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Mexico,<=50K -37,Private,180342,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,306122,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,44,United-States,>50K -28,Private,103802,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1408,40,?,<=50K -24,Private,42401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -34,Private,55849,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -22,Private,48347,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,181087,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,191803,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,?,<=50K -48,Private,180695,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -38,Private,186934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,125457,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -56,Private,238638,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,33386,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K -58,Self-emp-not-inc,106942,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,197176,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,121634,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -60,?,141580,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -70,Self-emp-not-inc,92353,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -53,?,237868,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -22,Private,182117,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,413345,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Federal-gov,49358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,405284,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -48,Private,148254,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,16,United-States,>50K -46,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,214378,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -50,Local-gov,177705,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,48,United-States,<=50K -34,Private,134886,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,26620,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,94334,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K -38,Local-gov,421446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -38,Private,210866,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -31,Private,91666,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Self-emp-not-inc,195686,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,25,United-States,<=50K -21,Private,276709,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -43,Private,170730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -40,Private,33895,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,324685,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -32,Private,190784,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,42279,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,60,?,<=50K -77,Private,187656,Some-college,10,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,?,87515,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,44,Germany,<=50K -27,Private,1490400,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,234504,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -52,Self-emp-not-inc,63004,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -25,Private,131976,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K -27,Private,232801,10th,6,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -29,Private,253752,10th,6,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,178272,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,111275,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K -21,Private,305874,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K -23,Private,117606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,184112,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -52,Federal-gov,30731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,316868,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Mexico,<=50K -29,Private,200515,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -18,Self-emp-inc,38307,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -27,Federal-gov,37274,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,65038,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,232799,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,2977,0,55,United-States,<=50K -58,Self-emp-inc,349910,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -36,?,98776,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,Private,94041,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Ireland,<=50K -21,Local-gov,176998,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,177794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,263200,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,34,Mexico,<=50K -29,Local-gov,214706,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,71469,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,78172,Some-college,10,Married-AF-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,121781,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K -54,Self-emp-not-inc,260833,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -50,Private,148431,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -39,Self-emp-not-inc,245361,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,185336,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -46,Private,176026,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -44,Private,40024,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -20,Private,181796,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,224566,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,39,United-States,<=50K -27,Private,152246,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -29,Private,103628,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -26,Private,247025,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,120539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,35,United-States,<=50K -34,Private,149902,Masters,14,Never-married,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K -29,Private,114224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,29810,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,357619,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,Germany,<=50K -39,Local-gov,214284,Bachelors,13,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,10,Japan,<=50K -21,Private,327797,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,415500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -30,Local-gov,19302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,70,Germany,>50K -31,Private,112115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,?,219835,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,76625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,203488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,142657,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K -25,Private,236421,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,163287,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,43,United-States,>50K -28,Private,176137,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -39,Self-emp-not-inc,187693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K -28,Private,30771,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,384276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,400004,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,208881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -35,Local-gov,195516,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,?,411560,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -53,Federal-gov,167410,Bachelors,13,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -48,Private,140782,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,38,United-States,>50K -53,Private,89587,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K -42,Private,47012,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,175931,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K -53,Private,283079,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,590522,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,45,United-States,<=50K -19,Private,286002,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K -50,Private,231495,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,Local-gov,212856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -36,Private,112512,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -52,Private,217663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -20,Private,344278,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -30,Private,173005,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -43,Private,212894,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -58,?,353244,Bachelors,13,Widowed,?,Unmarried,White,Female,27828,0,50,United-States,>50K -61,Self-emp-not-inc,196773,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -18,Private,160984,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -58,Local-gov,303176,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,176079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,24,United-States,>50K -27,Private,193898,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -70,Private,105376,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -25,Private,390537,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,El-Salvador,<=50K -31,Private,97933,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,135603,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -34,Local-gov,353270,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,276418,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,2051,32,United-States,<=50K -75,Self-emp-not-inc,165968,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -60,Private,304074,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,28,United-States,<=50K -51,Local-gov,176813,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,80576,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -62,Private,122246,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,8614,0,39,United-States,>50K -23,?,232512,HS-grad,9,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,32276,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K -50,Private,274528,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,273324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,16,United-States,<=50K -32,State-gov,542265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,275726,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -57,Local-gov,190747,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,140649,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,122066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,Hungary,<=50K -53,Private,107123,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,144005,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,30012,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K -25,Private,324854,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,187411,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -41,Private,187802,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,245790,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -35,Self-emp-inc,185621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -27,Private,212895,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,Private,122112,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -44,Private,192878,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -48,?,63466,HS-grad,9,Married-spouse-absent,?,Unmarried,White,Female,0,0,32,United-States,<=50K -58,Local-gov,212864,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -30,Private,98733,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -26,Private,97698,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K -46,Private,175622,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K -38,Private,133586,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,45,United-States,<=50K -46,Private,159869,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,76280,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,151693,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,91639,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,437566,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -49,Private,101320,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,75,United-States,<=50K -37,Private,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -30,Private,176123,10th,6,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -47,?,308499,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,84433,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -62,Self-emp-not-inc,102631,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K -37,Private,123361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,>50K -17,?,34088,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,199303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,273230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,State-gov,398626,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,45,United-States,>50K -45,Private,169092,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -45,Private,363087,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,?,213771,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,36,United-States,<=50K -38,Self-emp-not-inc,135020,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -61,?,116230,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -39,Private,172538,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Private,63042,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,50,United-States,>50K -22,Private,228465,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,306504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,51506,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,311311,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Local-gov,52267,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,107303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,281911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -45,Federal-gov,98524,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -42,Private,270710,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,209205,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -29,State-gov,95423,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -44,Private,157614,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,38,United-States,<=50K -27,Private,168827,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,124953,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K -20,?,358355,12th,8,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -18,?,348533,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -35,Local-gov,110075,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -69,Private,98170,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,1086,0,20,United-States,<=50K -32,Private,173998,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -23,Self-emp-not-inc,111296,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Mexico,<=50K -40,Local-gov,284086,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -23,Private,358355,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,<=50K -32,Self-emp-not-inc,188246,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1590,62,United-States,<=50K -31,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,37,United-States,<=50K -28,Private,346406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K -40,Self-emp-not-inc,99651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,37718,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,50,United-States,>50K -20,?,111252,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,594187,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -47,Self-emp-not-inc,159399,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -29,Self-emp-not-inc,96718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -41,Private,206619,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -38,Local-gov,115076,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -37,Private,468713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -27,Private,134566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Local-gov,121124,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -48,Self-emp-inc,302612,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,207875,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,123384,Masters,14,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,198583,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,35,United-States,<=50K -46,Private,269034,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -64,?,207321,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -22,Private,179392,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -57,Private,79830,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -36,Private,173542,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,235567,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,Private,152307,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,45,United-States,>50K -36,Local-gov,251091,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -47,Private,318360,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -21,State-gov,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,167495,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,351187,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,516701,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,1564,50,?,>50K -31,Private,336543,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -50,Self-emp-inc,167793,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -41,Private,157217,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -82,?,194590,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -30,Private,467108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -25,Local-gov,514716,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,115824,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1573,40,United-States,<=50K -39,Private,89040,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,24126,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,208608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -71,Private,183678,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -56,Private,182062,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -20,State-gov,177787,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,186325,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K -75,Private,311184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -34,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Federal-gov,97614,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,27815,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,1719,30,United-States,<=50K -20,Private,336101,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Local-gov,169324,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,4386,0,35,United-States,>50K -17,?,332666,10th,6,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K -27,Private,411950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,330132,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -58,?,347692,11th,7,Divorced,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K -59,Private,227856,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K -39,Self-emp-not-inc,36989,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -61,Self-emp-inc,187124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -29,Private,114158,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,?,317219,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -28,Private,37302,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,40808,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,43,United-States,<=50K -52,Self-emp-not-inc,194995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K -31,Private,703107,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,221650,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Japan,<=50K -38,Private,27408,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -50,State-gov,172970,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -33,Self-emp-not-inc,48189,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,225172,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Private,210851,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Self-emp-not-inc,328906,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4865,0,35,United-States,<=50K -21,Private,182117,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -21,Private,293968,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -32,Private,119124,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,289804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,103596,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,99,United-States,<=50K -51,Private,163826,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -41,Local-gov,235951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,252897,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,14344,0,40,United-States,>50K -63,Self-emp-not-inc,196994,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -50,Private,176227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -55,Self-emp-not-inc,96459,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,70,United-States,>50K -19,Private,263932,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,181020,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,255957,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,4101,0,40,United-States,<=50K -63,?,401531,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -62,Private,167098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,71458,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,461678,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -48,Private,54759,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Private,213351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,189775,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,44,United-States,<=50K -23,Private,220874,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,273051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,Yugoslavia,>50K -58,Private,265086,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Self-emp-inc,166459,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -35,Private,272476,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K -34,Private,183778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,174655,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,48597,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -49,Self-emp-not-inc,167281,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,154785,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,<=50K -25,Private,231638,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,?,85995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,52,United-States,<=50K -40,Private,237671,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -35,Private,285020,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,153356,HS-grad,9,Divorced,Sales,Not-in-family,Black,Male,2597,0,55,United-States,<=50K -32,Private,335569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,240817,HS-grad,9,Never-married,Sales,Own-child,White,Female,2597,0,40,United-States,<=50K -38,Self-emp-not-inc,36270,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K -37,Private,305597,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -36,Private,222294,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -29,Private,49087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,Private,145656,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -45,Private,165232,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K -50,Federal-gov,107079,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,190562,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,56,United-States,<=50K -17,Private,220562,9th,5,Never-married,Sales,Other-relative,Other,Female,0,0,32,Mexico,<=50K -30,?,103651,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -40,Private,206927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,240049,Preschool,1,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -47,Self-emp-not-inc,52291,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -33,Private,245659,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,38,El-Salvador,<=50K -52,Local-gov,35092,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,121468,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -35,Self-emp-inc,140854,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -27,Private,587310,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,El-Salvador,<=50K -24,Private,90934,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -48,Local-gov,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,82561,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -65,Local-gov,254413,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,232388,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K -27,Private,360527,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,137952,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -41,Private,153031,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -44,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -41,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,399088,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1340,45,United-States,<=50K -46,Private,193188,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,331651,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Japan,>50K -17,Private,117549,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,12,United-States,<=50K -62,Private,190491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -48,State-gov,28419,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,181363,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,188096,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,>50K -47,Self-emp-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K -54,Self-emp-not-inc,224207,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,6849,0,50,United-States,<=50K -43,Private,184378,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,204447,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,80249,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -27,State-gov,413870,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,215306,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K -49,Local-gov,199378,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,127728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Private,91316,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -34,Private,238246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,605504,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,164593,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K -32,State-gov,206051,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -63,Self-emp-not-inc,144391,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,379046,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -24,Private,137876,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -19,Private,333953,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -56,Private,75785,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,188950,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,162621,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,14,United-States,<=50K -32,Local-gov,226296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,?,35603,11th,7,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -25,Private,274228,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,<=50K -34,Self-emp-not-inc,226296,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K -45,Self-emp-not-inc,149640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K -33,?,148380,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,3103,0,60,United-States,>50K -48,Local-gov,115497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,167415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,57957,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -55,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -68,Self-emp-not-inc,376957,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,6,United-States,<=50K -69,?,182668,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -28,Private,69107,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,134746,10th,6,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -28,Local-gov,168065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,155469,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K -40,Private,32627,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,697806,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,265361,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,State-gov,151038,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,32016,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,137290,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,220109,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Private,104293,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,917220,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -62,Private,73292,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,226198,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,32528,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,296066,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -75,Private,185603,10th,6,Widowed,Tech-support,Not-in-family,White,Female,0,0,32,United-States,<=50K -30,Private,182771,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -53,Private,185846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,250068,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,?,222478,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -27,Private,200610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -59,Private,168416,HS-grad,9,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,36,Poland,<=50K -29,Private,253003,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K -34,Private,227359,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -35,Self-emp-not-inc,295127,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -76,?,84737,Bachelors,13,Widowed,?,Other-relative,Asian-Pac-Islander,Male,0,0,32,China,<=50K -46,Private,178642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K -45,Private,302677,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,1340,50,United-States,<=50K -34,Private,123429,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,164190,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K -25,Private,396633,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,56,United-States,>50K -43,Private,282678,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Private,155362,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,169600,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,12,United-States,<=50K -51,Private,203435,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,154583,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -26,Private,138537,11th,7,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K -38,Private,108947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K -68,Self-emp-inc,52052,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,25124,0,50,United-States,>50K -28,Private,176683,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,France,<=50K -53,?,150393,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1504,35,United-States,<=50K -50,Private,40623,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,?,38317,1st-4th,2,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -20,Private,108887,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,172047,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,129597,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K -37,Self-emp-inc,94869,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K -61,Private,208919,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -65,Private,420277,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,78181,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,48189,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,51620,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,191814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,255476,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,Mexico,<=50K -49,Private,323798,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,50,United-States,<=50K -18,Private,632271,Some-college,10,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,Peru,<=50K -30,Private,206051,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -22,Private,190916,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,208591,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,62345,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -58,Federal-gov,175873,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,63925,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Private,329603,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K -22,?,33016,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,121142,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -25,?,170428,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,28,Taiwan,<=50K -47,Self-emp-inc,248145,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K -41,Private,193882,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,115066,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,119471,7th-8th,4,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,?,<=50K -51,Self-emp-not-inc,132341,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,176486,HS-grad,9,Married-spouse-absent,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,<=50K -38,Federal-gov,174778,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K -27,Private,189462,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -29,Self-emp-not-inc,190636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,1485,60,United-States,>50K -38,Private,455379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,63,United-States,>50K -62,Private,128092,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -35,?,163582,10th,6,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K -34,Local-gov,177675,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K -54,Federal-gov,439608,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,189240,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,24723,10th,6,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -30,Private,488720,9th,5,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -38,Private,179117,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,Black,Female,10520,0,50,United-States,>50K -43,Private,265072,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,2258,50,United-States,>50K -44,Private,215468,Bachelors,13,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,7,United-States,<=50K -46,Private,270565,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,275163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,49797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,163003,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -19,Private,151506,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,155483,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,155496,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,37092,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -40,Private,83953,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -44,Local-gov,68318,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -27,Private,376150,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -40,Local-gov,36296,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -55,Self-emp-not-inc,168625,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,12,United-States,>50K -38,Local-gov,40955,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -23,Private,381679,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,198813,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,205100,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,302859,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -62,Self-emp-not-inc,142139,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -44,Private,213934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,42,United-States,<=50K -32,Private,312667,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K -20,Private,33551,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,497486,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -27,Private,377680,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,146653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -55,Self-emp-inc,304695,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,292803,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -40,Private,70645,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,598606,9th,5,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,50,United-States,<=50K -28,Private,258231,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,116791,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,217039,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -50,Self-emp-not-inc,203098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -42,State-gov,167581,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,167832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,330132,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -56,Private,174864,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -23,?,281668,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,252752,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,116508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -34,Private,152453,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -40,Self-emp-not-inc,107762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -45,State-gov,81853,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -28,Private,132686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,309620,Some-college,10,Married-civ-spouse,Sales,Husband,Other,Male,0,0,60,?,<=50K -57,Private,365683,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K -18,Private,174394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,45713,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,144396,11th,7,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -51,Self-emp-not-inc,291755,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -35,Private,360814,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -70,Self-emp-inc,158437,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -64,Private,86837,Preschool,1,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -43,Private,216042,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,1617,72,United-States,<=50K -25,Private,334267,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K -53,Private,231472,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -35,Private,54595,12th,8,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,202560,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,247328,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Mexico,<=50K -27,Private,294451,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,180572,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -45,Local-gov,181758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,187327,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,55377,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Local-gov,247731,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K -34,Private,75454,12th,8,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,134498,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,>50K -56,Private,46920,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,109928,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -48,Private,265083,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Private,193285,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,548361,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,98,United-States,<=50K -24,Private,67804,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -59,Private,196482,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,214858,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,123868,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,?,62534,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Jamaica,<=50K -57,Private,201991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,53833,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,>50K -47,Private,323212,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,Private,178946,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Self-emp-inc,68015,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K -26,Federal-gov,76900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,226585,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -41,Private,29702,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,211208,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -20,Private,190423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -64,Local-gov,190660,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Federal-gov,419691,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,54,United-States,>50K -34,Self-emp-inc,154120,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -25,Private,226802,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Private,186130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -30,Private,58582,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -35,Private,174503,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,393715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -46,Private,117313,9th,5,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ireland,<=50K -29,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -53,Private,103950,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,284078,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,2354,0,40,United-States,<=50K -53,Private,230936,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,462820,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,198017,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K -51,Private,155408,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,38,United-States,<=50K -23,Private,222925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,2105,0,40,United-States,<=50K -31,?,99483,HS-grad,9,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -46,Private,228372,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K -31,Private,203463,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,99999,0,40,United-States,>50K -25,Private,257910,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Without-pay,35034,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,127728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,330715,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,State-gov,93806,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K -30,State-gov,61989,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -50,Local-gov,36489,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,?,232618,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -58,Local-gov,164970,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,172425,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K -57,Private,69884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Private,199739,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,186905,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K -52,Private,102828,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,397346,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -30,Private,159589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K -30,Private,124569,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -26,Private,746432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,48,United-States,<=50K -47,Private,464945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -23,Private,373628,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -55,Private,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -36,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,340332,Bachelors,13,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K -65,Private,190568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,36,United-States,<=50K -49,Self-emp-not-inc,127921,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,357870,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,50,United-States,<=50K -51,Federal-gov,282680,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,70,United-States,>50K -39,Federal-gov,290321,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -55,Self-emp-inc,141807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -37,Self-emp-not-inc,191342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K -75,Self-emp-inc,126225,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,234663,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,279524,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Private,180211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -33,Private,287908,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,366483,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K -20,Private,155066,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -21,Private,89154,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,42,El-Salvador,<=50K -46,Local-gov,207946,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -38,Self-emp-inc,478829,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -18,Private,256005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,88513,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K -21,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K -59,Private,653215,11th,7,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Self-emp-inc,176981,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -45,Private,135044,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,33842,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K -71,Private,182395,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,11678,0,45,United-States,>50K -34,Self-emp-not-inc,100079,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,India,<=50K -58,Private,126104,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K -46,Private,105444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,?,201490,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,169631,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,179481,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4650,0,44,United-States,<=50K -54,Local-gov,113649,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,317360,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -30,Private,247328,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -64,Private,133169,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,India,<=50K -30,Local-gov,101345,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,26,United-States,<=50K -33,Private,96128,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,?,205562,Masters,14,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,131615,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,295282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -69,Private,165017,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,2538,0,40,United-States,<=50K -49,Private,134797,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,214627,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -57,Private,214619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,?,37170,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -30,Private,198953,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,2635,0,16,United-States,<=50K -38,Private,197711,10th,6,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Portugal,<=50K -52,Private,198824,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,50941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -45,Local-gov,318280,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -52,Private,220984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,?,169278,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,202950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -32,Private,218322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,?,355571,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,36270,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,65,United-States,>50K -35,Private,107160,12th,8,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Self-emp-not-inc,122584,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,193815,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,109005,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -46,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -24,Local-gov,234108,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,179415,10th,6,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -58,Private,298601,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3781,0,40,United-States,<=50K -38,Private,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -40,Self-emp-inc,37869,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,310152,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,72257,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -61,Private,26254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,231263,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -18,Private,168740,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -38,Self-emp-not-inc,93206,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,65,United-States,>50K -26,Self-emp-inc,366662,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -21,Private,63899,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Private,340408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K -31,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,205504,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,310014,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -60,Self-emp-not-inc,197060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -59,Private,43221,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -42,Private,160893,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K -31,Private,231043,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,340458,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,258276,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,3137,0,40,?,<=50K -37,Federal-gov,32950,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,301369,12th,8,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,97939,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K -46,Private,194431,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,167531,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,15024,0,50,United-States,>50K -62,Private,109463,Some-college,10,Separated,Sales,Unmarried,White,Female,0,1617,33,United-States,<=50K -32,Private,188246,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,306993,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,64421,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -27,State-gov,365916,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K -39,State-gov,77516,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K -29,Private,261725,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -63,Private,180099,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,183612,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,334032,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Federal-gov,275366,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,260954,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,30,United-States,<=50K -42,Private,449578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -33,Local-gov,251521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,Federal-gov,169711,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,72,United-States,>50K -28,Private,174327,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,343021,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -33,Private,119913,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,Self-emp-not-inc,104576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K -42,Private,203393,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,35,United-States,>50K -32,Private,108023,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,174351,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -48,Private,345831,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,99479,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,46,United-States,<=50K -56,Self-emp-not-inc,385632,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,45857,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,210736,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,219288,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -50,Private,118565,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -45,State-gov,72896,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,180271,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -45,Private,295046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -29,Private,304595,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -19,Private,273226,11th,7,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,239806,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,Mexico,<=50K -44,Private,191256,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -30,Private,152453,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -27,Federal-gov,409815,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,50,United-States,<=50K -59,Private,146013,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -28,Self-emp-not-inc,149141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Private,46028,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K -35,Private,212512,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -27,Private,123302,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Poland,<=50K -49,State-gov,255928,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,64289,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,266710,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K -46,Private,332884,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K -45,Private,246392,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -61,Private,130684,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -44,Private,207685,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,55,England,>50K -21,Private,248512,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,?,215743,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,181598,11th,7,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,223751,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -35,Private,216711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,32372,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -49,Local-gov,288548,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -32,Private,281384,HS-grad,9,Married-AF-spouse,Other-service,Other-relative,White,Female,0,0,10,United-States,<=50K -25,Private,40915,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Local-gov,177475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,?,356838,12th,8,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,Private,189590,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Local-gov,282664,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,45,?,<=50K -41,Private,154714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,222381,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,169583,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -51,Private,201062,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -35,State-gov,172327,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -42,Private,274198,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,38,Mexico,<=50K -41,Private,206878,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -51,Local-gov,182985,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,93977,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,106159,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,197522,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,19410,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -22,Private,197838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,123807,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,15,United-States,<=50K -20,Private,137618,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,285865,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -50,Local-gov,20795,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -57,Private,168447,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,170411,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -54,Private,175912,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,914,0,40,United-States,<=50K -63,?,179981,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -34,Private,108116,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,134890,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,202878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2042,40,United-States,<=50K -21,?,132053,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -28,Private,163320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,156403,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -79,Private,120707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,El-Salvador,>50K -42,Private,416506,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,14084,0,36,United-States,>50K -24,Private,109813,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3137,0,40,United-States,<=50K -30,Private,224462,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,38946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -54,Private,225307,11th,7,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K -36,Private,170376,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -26,Self-emp-not-inc,200681,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -58,Private,314092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K -28,Private,196564,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,164190,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,52,United-States,>50K -33,Local-gov,198183,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -43,Private,220589,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,132053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,35,United-States,<=50K -47,Private,104521,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,State-gov,53903,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,272090,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -45,Self-emp-not-inc,106110,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K -46,Self-emp-inc,219962,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,?,>50K -42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,137946,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Self-emp-inc,207540,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -30,Private,351770,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -23,Private,181820,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,34572,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -21,Private,409230,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -37,Private,95855,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,176185,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,42,United-States,<=50K -38,Private,295127,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,237298,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Private,182028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,79649,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,89559,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,200618,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,89760,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,179772,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -51,Self-emp-not-inc,135102,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -37,Private,205997,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,421561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,Private,37650,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,5060,0,40,United-States,<=50K -57,?,123632,Bachelors,13,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -25,State-gov,99076,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,2597,0,50,United-States,<=50K -34,Private,199539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -34,Private,265706,Masters,14,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K -20,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -48,?,353824,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K -22,Private,338162,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -30,Private,293931,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -20,Private,178469,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,15,?,<=50K -30,Private,437825,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Peru,<=50K -42,Private,210275,Masters,14,Divorced,Tech-support,Unmarried,Black,Female,4687,0,35,United-States,>50K -65,Private,217661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2246,40,United-States,>50K -27,Private,201017,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -28,Private,112425,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,167979,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -18,Private,131033,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K -62,Local-gov,159908,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1258,38,United-States,<=50K -53,Self-emp-inc,134854,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,>50K -64,Private,91343,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,266860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,191385,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,118486,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,4934,0,32,United-States,>50K -50,Private,194580,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,Local-gov,173542,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,122353,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -90,Private,175491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,50,Ecuador,>50K -50,Private,145717,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -17,Private,163494,10th,6,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,206565,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K -54,Local-gov,204567,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,148724,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -51,Private,136121,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -48,Private,440706,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -34,Local-gov,113183,Masters,14,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,65308,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,239043,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,187158,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,319697,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -28,State-gov,132675,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Germany,<=50K -49,Self-emp-not-inc,162856,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -56,Private,225267,Some-college,10,Divorced,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K -52,State-gov,32372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,185832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,226089,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,169023,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -64,Self-emp-not-inc,187793,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,134737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -54,Self-emp-inc,98051,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K -25,Private,285367,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,118544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -34,Private,192900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -45,?,256649,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,>50K -70,Private,282642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2174,40,United-States,>50K -27,Private,217200,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,223749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,95918,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,153486,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,123947,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -20,Private,406641,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -43,Self-emp-not-inc,35236,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -44,Private,227065,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,?,>50K -23,Private,57827,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,226665,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,42,United-States,>50K -54,Private,103580,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,State-gov,102628,Masters,14,Widowed,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Local-gov,150533,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K -18,Private,170627,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -49,Self-emp-inc,172246,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -34,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,100113,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K -57,Private,132145,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,106910,Assoc-voc,11,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -22,Private,220603,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -29,Private,110442,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -65,Private,398001,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -64,Self-emp-inc,56588,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K -18,Private,293510,12th,8,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -32,Private,147118,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,49884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,342730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -40,Private,163434,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,110946,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,37754,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -33,State-gov,110171,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K -23,Private,267955,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,477867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,159442,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,13550,0,50,United-States,>50K -41,Private,121055,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,190290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,130780,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,294919,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -56,Local-gov,198277,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,194901,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,?,167651,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,187046,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -42,Private,116649,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,223433,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,?,193863,7th-8th,4,Widowed,?,Other-relative,White,Female,0,0,16,Poland,<=50K -39,Private,252327,9th,5,Separated,Craft-repair,Own-child,White,Male,0,0,35,Mexico,<=50K -55,Private,190514,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,75,United-States,<=50K -67,?,63552,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,190911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,?,55139,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,43,United-States,<=50K -35,Self-emp-not-inc,190759,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,281030,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -62,Private,35783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,?,187161,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K -43,Federal-gov,186916,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K -19,?,28455,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,588905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,134367,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K -31,Private,169104,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K -22,State-gov,22966,Some-college,10,Married-spouse-absent,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K -27,Private,219371,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Jamaica,<=50K -55,Federal-gov,264834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,199346,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -31,Federal-gov,206823,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,108140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,164423,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,291248,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -29,Private,77322,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,Self-emp-not-inc,162551,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,50,?,<=50K -47,Federal-gov,229646,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,Puerto-Rico,<=50K -37,Self-emp-not-inc,50096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -22,Private,123876,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,228075,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,35,Mexico,<=50K -23,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -33,Private,204494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,>50K -42,Private,203542,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,182556,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,State-gov,50093,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -56,Private,121362,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -24,?,152140,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,167159,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,104724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,137421,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K -31,Self-emp-not-inc,152351,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -48,State-gov,98010,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K -36,?,168223,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,125892,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,33109,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -54,Private,199307,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K -53,Self-emp-inc,200400,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -51,Private,103803,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K -35,Private,178322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Private,126701,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,189809,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,52,Jamaica,<=50K -35,Private,176837,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,156890,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,122033,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,99,United-States,<=50K -51,Self-emp-not-inc,32372,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,70,United-States,<=50K -67,Private,229709,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,232337,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,106742,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,72310,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -21,Private,57827,HS-grad,9,Widowed,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Local-gov,194740,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,155489,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,58,United-States,>50K -36,Private,165799,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Private,182655,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,52,United-States,>50K -52,Private,138497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -23,Private,35633,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,180019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -22,Private,429346,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -67,?,125926,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -27,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -25,Private,248990,11th,7,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -55,Private,419732,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -42,Federal-gov,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -58,Local-gov,53481,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -22,Private,35663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,189922,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,52,United-States,>50K -35,Private,465507,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -34,Local-gov,93886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K -32,Private,340917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,287031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -32,Private,250583,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -28,Private,232653,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,168621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,167955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -60,Private,200235,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Local-gov,209103,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3464,0,45,United-States,<=50K -29,Private,354558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -29,Self-emp-not-inc,70100,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -34,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -49,Self-emp-not-inc,148254,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,28,United-States,<=50K -32,Private,197325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Never-worked,206359,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -81,Self-emp-inc,247232,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,2936,0,28,United-States,<=50K -30,State-gov,46144,HS-grad,9,Married-AF-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -39,Private,42044,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,249438,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -64,Self-emp-inc,142166,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,197871,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,40077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-not-inc,343748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -41,State-gov,176155,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -60,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1848,40,United-States,>50K -22,Private,113703,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K -64,Self-emp-not-inc,30310,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,225599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,India,>50K -20,Private,259301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -38,Local-gov,165799,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K -52,?,244214,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -50,Private,71898,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -45,Private,160724,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -22,Private,229456,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -49,Private,64216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K -39,Private,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -28,Local-gov,133136,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,228452,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,60267,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -47,?,178013,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,20,Cuba,<=50K -68,Private,170376,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,120839,12th,8,Divorced,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,111243,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K -57,Private,206343,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,Cuba,<=50K -43,Private,222756,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,44,United-States,<=50K -23,Private,227594,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -62,Private,224953,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,196388,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -28,?,161290,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -23,?,69510,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Local-gov,183620,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,>50K -30,Private,27207,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -31,Local-gov,58624,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,399087,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -33,State-gov,108116,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,171116,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,45317,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,101027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -50,Private,73493,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,196385,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -61,Private,176839,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,195488,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K -30,Private,30290,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,Private,163385,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K -62,Self-emp-not-inc,162249,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,110713,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Private,152436,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,30381,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -60,Private,198170,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,122048,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,29,United-States,<=50K -26,Private,354784,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,176296,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1887,40,United-States,>50K -22,Private,190968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -38,Private,215646,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,70708,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,240676,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,26994,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Private,174907,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -36,Private,65624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,199596,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -60,Private,491214,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -54,Local-gov,137678,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,131808,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -21,Private,138768,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,293324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,126755,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -44,Self-emp-inc,103643,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,60,Greece,<=50K -42,State-gov,345969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -41,Self-emp-not-inc,264663,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,142081,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K -45,Local-gov,125933,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,380899,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,242482,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,412156,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,259307,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Federal-gov,188081,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Private,175232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -24,Private,98287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -34,Self-emp-inc,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,259785,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,State-gov,40925,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,219599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,45766,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,221666,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Self-emp-inc,215395,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,?,200017,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,352606,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,39623,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,139364,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,10520,0,40,Ireland,>50K -37,Private,121521,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -17,Private,110723,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -33,Private,401104,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -21,Private,112906,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K -35,Self-emp-not-inc,238802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,189811,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,183168,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,195508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,100345,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,325596,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,405155,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -62,?,191188,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,?,262245,Assoc-voc,11,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K -51,Private,293802,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,52,United-States,<=50K -84,Private,241065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K -25,Private,266820,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -44,?,268804,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -32,Self-emp-inc,46807,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -20,Private,204596,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -33,Private,409172,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K -44,Federal-gov,113597,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -36,Private,127686,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -33,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,?,121319,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,34458,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,21698,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -48,State-gov,49595,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,72,United-States,<=50K -36,Private,168055,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -19,Private,220819,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -42,State-gov,126333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,205581,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -36,Private,31438,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -52,Private,54933,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,285263,9th,5,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Mexico,<=50K -33,Private,296453,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,15,United-States,<=50K -23,Private,117789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -25,Self-emp-inc,90752,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,436198,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -50,Private,378747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,94600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,199172,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,182609,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Poland,<=50K -22,State-gov,190625,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -44,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,45,United-States,>50K -28,Self-emp-not-inc,147951,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -25,Private,191271,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,State-gov,280519,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -34,State-gov,154246,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4865,0,55,United-States,<=50K -47,Private,332465,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Local-gov,205759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,421837,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,78261,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,275445,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -25,Local-gov,55360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,268525,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K -33,Private,327112,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -22,Private,383603,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,167381,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -60,Private,145664,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -42,Private,222011,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K -66,Self-emp-not-inc,219220,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Germany,<=50K -44,Private,202466,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K -40,Private,259757,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -81,?,89015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -37,Private,187346,5th-6th,3,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K -46,Private,172695,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,27,El-Salvador,<=50K -51,Local-gov,230767,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,Cuba,<=50K -41,Private,116103,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,192208,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,155343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -52,Private,347519,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,173981,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -42,Private,126003,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Private,153682,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -25,Self-emp-not-inc,182809,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -26,Private,247025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -33,Federal-gov,428271,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -24,Private,308205,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -65,Private,154351,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,2993,0,40,United-States,<=50K -45,Self-emp-inc,178344,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -36,Private,72375,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -59,Private,304779,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,174794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,England,>50K -40,State-gov,506329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -44,Private,259674,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,60,United-States,>50K -25,?,122745,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,40,United-States,<=50K -37,Private,116358,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,27828,0,48,United-States,>50K -25,Private,177017,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1504,37,United-States,<=50K -38,Local-gov,34744,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -32,Private,159187,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,121912,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -40,Federal-gov,73883,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Private,266631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,<=50K -29,Private,208577,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,449432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -65,?,273569,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,153799,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,72,?,>50K -35,State-gov,190759,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,73670,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,52,United-States,>50K -36,Private,272944,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -34,Local-gov,63338,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,412017,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Federal-gov,178025,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,9,United-States,<=50K -37,Private,235070,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,35,Haiti,<=50K -23,Private,238092,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,201393,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K -17,Self-emp-not-inc,174120,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -31,Private,197689,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -37,Private,126569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,221166,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,216685,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -67,Private,120900,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -30,Private,54608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,33678,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -19,Private,170720,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -20,Private,107801,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,2205,18,United-States,<=50K -25,Private,218667,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,176101,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,192894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -26,Private,291586,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,190916,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,199011,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,3,United-States,<=50K -45,Self-emp-not-inc,285575,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -40,Private,226388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -65,?,117162,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,>50K -23,Private,202416,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -18,Private,96445,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -22,Private,46561,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,108706,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -18,Private,262118,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,22,Germany,<=50K -28,Private,383322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -32,Private,256609,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,146659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -40,Local-gov,233891,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -18,Private,143450,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -38,Local-gov,105161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,70447,Some-college,10,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,4650,0,20,United-States,<=50K -25,Private,265618,HS-grad,9,Separated,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,51973,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,247321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -57,Private,104455,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,90,United-States,>50K -24,Private,73514,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K -28,?,290267,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,18,United-States,<=50K -21,Private,293726,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -23,Private,174461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,191598,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1980,38,United-States,<=50K -17,Private,130795,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,189924,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K -48,Self-emp-inc,56975,HS-grad,9,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,84,?,<=50K -36,Private,143486,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -59,Private,244554,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -31,Private,25955,9th,5,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -27,Private,149624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -55,Private,200734,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -17,?,94366,10th,6,Never-married,?,Other-relative,White,Male,0,0,6,United-States,<=50K -22,Private,91733,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -57,Private,245193,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Private,53373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -50,Private,98350,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -20,Private,281608,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,?,19793,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,8,United-States,<=50K -29,State-gov,271012,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -52,Private,167527,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,232808,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -43,Private,163769,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,209428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,El-Salvador,<=50K -42,Private,250121,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,61996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,62,United-States,<=50K -33,Private,176992,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K -38,Private,262882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,191103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,214881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,112115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,213611,7th-8th,4,Married-spouse-absent,Priv-house-serv,Unmarried,White,Female,0,1594,24,Guatemala,<=50K -20,Private,284737,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -51,Private,300816,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Male,0,0,20,United-States,<=50K -23,Federal-gov,39603,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -60,Private,33266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,230824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -53,Private,30846,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,State-gov,111224,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,39,United-States,<=50K -45,Private,155478,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,89400,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,134671,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,161538,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,?,41356,Assoc-voc,11,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,Local-gov,260782,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,52,United-States,>50K -30,Private,187560,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,178615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -57,Private,342906,9th,5,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,>50K -22,Private,124971,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,49325,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,61777,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,109428,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,40,United-States,<=50K -28,Private,183523,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -35,Self-emp-not-inc,28996,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,149704,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,297884,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,98515,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,199227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -56,State-gov,104447,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,2339,40,United-States,<=50K -51,Federal-gov,85815,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -43,Private,190885,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,38,Mexico,<=50K -66,?,376028,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -46,Private,167515,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -52,Self-emp-not-inc,92469,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -71,?,181301,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,26009,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -22,Private,151790,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,Germany,<=50K -31,Private,381153,10th,6,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,205072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -38,Private,229236,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -33,Private,125762,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,112262,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K -20,Private,107746,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,Guatemala,<=50K -24,Private,36011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2057,45,United-States,<=50K -42,Private,32627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,374524,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,180714,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2179,40,United-States,<=50K -40,Self-emp-not-inc,33219,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -18,?,35855,11th,7,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -17,Private,150262,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -39,Self-emp-not-inc,251323,9th,5,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Cuba,<=50K -44,Private,231853,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,1902,40,United-States,>50K -23,Private,197286,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,116641,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,35,United-States,>50K -24,Federal-gov,283918,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K -30,Private,151773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -29,Private,118478,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,50,United-States,>50K -52,Private,29658,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,253814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,401508,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,170850,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4064,0,60,United-States,<=50K -62,?,191118,Some-college,10,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K -47,Self-emp-not-inc,28035,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,86,United-States,<=50K -38,Private,187847,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -25,Local-gov,307294,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Local-gov,109705,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,317175,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,Private,264052,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,245777,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,365745,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,134447,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -27,State-gov,249362,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,United-States,<=50K -21,Private,303187,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -50,Private,104501,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K -33,Private,281685,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,148995,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -58,Local-gov,185072,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,Jamaica,>50K -17,Private,103851,11th,7,Never-married,Adm-clerical,Own-child,White,Female,1055,0,20,United-States,<=50K -54,Private,174102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,257863,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -40,Private,241895,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,186677,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -44,Private,133853,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -52,Federal-gov,157454,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,72514,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K -40,Local-gov,202872,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -32,Private,265368,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,44,United-States,>50K -39,Private,196308,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -53,Private,53812,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K -44,Private,368757,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,?,174702,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Self-emp-not-inc,191503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,81534,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,Japan,>50K -21,Private,208503,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,10,United-States,<=50K -30,Local-gov,177828,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,135056,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,138471,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,264102,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,39,Haiti,<=50K -41,Local-gov,158688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,60,United-States,<=50K -42,?,148951,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,12,Ecuador,<=50K -20,Private,131852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,99185,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,58,United-States,<=50K -54,Private,81859,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,269733,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,216563,11th,7,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -23,Private,209483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -54,Private,197189,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,39464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K -46,Private,148738,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1740,35,United-States,<=50K -33,Private,180656,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Guatemala,<=50K -43,Local-gov,37937,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K -22,Private,222993,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,213654,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,175185,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -21,Private,253583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,83861,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,108670,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,198955,9th,5,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,46,United-States,<=50K -21,Private,253612,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,1055,0,32,United-States,<=50K -23,Private,84726,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,45,Germany,<=50K -23,Private,447488,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,Mexico,<=50K -42,Private,196344,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Guatemala,<=50K -21,Private,392082,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Male,0,0,40,United-States,<=50K -38,Private,270985,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -46,Self-emp-not-inc,65535,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -36,Local-gov,382635,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Honduras,<=50K -61,Self-emp-inc,248160,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,212286,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,224655,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -45,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K -38,Private,98776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -64,Federal-gov,86837,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -45,Private,229516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,72,Mexico,<=50K -59,Local-gov,173992,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -26,Private,318644,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -61,State-gov,379885,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Self-emp-not-inc,235237,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -18,Private,131414,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,220262,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,113364,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -47,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -54,State-gov,137815,12th,8,Never-married,Other-service,Own-child,White,Male,4101,0,40,United-States,<=50K -71,Self-emp-not-inc,163293,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,2,United-States,<=50K -25,Private,148300,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -33,Self-emp-not-inc,170979,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -62,?,176753,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,206721,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,210377,10th,6,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,162312,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,66,South,<=50K -41,State-gov,27305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,27242,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,201178,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,33432,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K -17,Private,65368,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -18,Private,217942,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -50,Private,69345,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,55,United-States,>50K -49,Self-emp-inc,182211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -19,?,258664,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,475322,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1617,35,United-States,<=50K -34,Private,126853,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -22,Self-emp-not-inc,174907,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -37,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,121874,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -52,Private,176124,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,193494,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -73,Private,33493,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K -34,Self-emp-not-inc,177639,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,392167,10th,6,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -35,Private,289890,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,69477,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -56,Private,164332,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -31,Private,137444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -29,Private,285657,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,169104,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -61,Self-emp-not-inc,115882,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -23,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,1719,40,United-States,<=50K -31,Private,117028,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,Poland,<=50K -20,Private,74631,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,Private,320835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Private,29814,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K -46,Private,265097,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,5,United-States,<=50K -29,Private,136985,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,143774,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -36,Private,359678,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,48,United-States,<=50K -48,Private,135525,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,104660,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -33,Private,194740,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,179423,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Local-gov,177265,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K -18,Federal-gov,280728,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -51,Private,305673,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -46,Private,33084,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,206521,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Self-emp-inc,130856,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,255454,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,257283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -66,?,210750,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -19,?,180976,10th,6,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,285263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -45,State-gov,116892,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,334744,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Federal-gov,297906,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -43,Private,341204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,119344,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K -20,Local-gov,37932,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,289964,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,29810,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,262723,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -38,Private,190174,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -30,Private,180374,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,221172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,195617,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -39,Private,186191,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,50,United-States,>50K -46,Private,267107,5th-6th,3,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,Italy,<=50K -76,Private,25319,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -28,Private,206351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,185405,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -51,Private,256466,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -35,Private,341943,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -19,?,309284,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,State-gov,101562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Local-gov,213258,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,29762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -20,?,156916,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Private,53553,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K -44,Private,171484,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -32,Private,126838,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,111979,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -34,Private,176244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -49,Self-emp-not-inc,126268,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,203408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -21,?,182288,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,301862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,170287,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K -30,Private,139838,10th,6,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,171914,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,Private,126094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,109702,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,195096,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -50,Local-gov,138358,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K -21,?,228960,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,90705,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -39,Private,79331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K -33,Private,90668,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,?,394690,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K -34,Private,69491,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,168030,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,21,United-States,>50K -40,?,70645,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -31,Private,145791,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -41,State-gov,518030,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,1590,40,Puerto-Rico,<=50K -41,Private,184466,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,94235,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -30,Private,156763,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,230684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -55,Private,153484,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -19,Private,160033,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,128483,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -53,Local-gov,549341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K -19,?,37085,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -53,Self-emp-inc,59840,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,72338,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Japan,>50K -50,State-gov,76728,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K -45,Private,176841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -20,Private,174436,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -42,Federal-gov,158926,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -25,Local-gov,163101,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,220783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,340543,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,201624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,<=50K -30,Private,243165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,182062,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,57151,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,284317,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -19,Local-gov,259169,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -35,Private,122493,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,181200,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1564,40,United-States,>50K -43,Federal-gov,183608,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,363677,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,30,United-States,>50K -20,Local-gov,235894,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,58751,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,188571,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,116915,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -64,?,169917,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -20,Private,275385,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K -58,Private,41374,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -53,Private,158294,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -34,Private,111985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,?,123983,Some-college,10,Never-married,?,Own-child,Other,Male,0,0,20,United-States,<=50K -26,Private,198801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -56,?,174533,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -20,Private,38772,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -75,?,34235,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,14,United-States,<=50K -26,Private,135603,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Private,176862,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,341954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,305874,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,121023,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K -62,Private,195543,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -29,Private,107458,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,168038,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -50,Private,94081,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,113364,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -18,Private,87135,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -30,Local-gov,79190,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,?,247734,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,585361,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,92178,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,133986,10th,6,Separated,Transport-moving,Unmarried,White,Female,0,0,70,United-States,<=50K -52,Private,95704,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,115630,11th,7,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -25,Private,108301,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -19,?,33487,Some-college,10,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -47,Private,175600,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,282484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -71,?,250263,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,30,United-States,<=50K -18,Private,152508,11th,7,Married-civ-spouse,Sales,Wife,Other,Female,0,0,20,United-States,<=50K -81,?,162882,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Private,323713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,237928,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,<=50K -23,Private,203076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,113912,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -48,Private,185079,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,33551,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K -50,Private,191299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,407714,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,315476,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -58,Private,172618,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -56,Local-gov,238582,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K -22,Private,157332,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -61,Local-gov,153408,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -81,Self-emp-not-inc,218521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,21,United-States,<=50K -45,Private,59380,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -39,Private,103323,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,40,United-States,<=50K -21,?,118023,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -38,Private,119741,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,291386,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,533147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Private,350440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -30,Private,306383,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,121308,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,132705,9th,5,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Local-gov,99502,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -45,Private,44489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,59313,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,321426,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,49,United-States,<=50K -47,Self-emp-not-inc,199083,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,0,2258,50,United-States,>50K -62,Private,143943,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,7,United-States,<=50K -21,Private,164920,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,111696,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,391591,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,179861,10th,6,Never-married,?,Own-child,White,Male,0,0,10,Poland,<=50K -43,Private,162108,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,99935,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K -25,Private,171114,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -50,Private,193884,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K -48,Self-emp-not-inc,179337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,England,<=50K -42,Local-gov,223548,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,51063,10th,6,Divorced,Other-service,Not-in-family,Black,Male,0,0,64,United-States,<=50K -58,Private,33350,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -41,Self-emp-not-inc,200479,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -56,Private,170070,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -28,Private,271572,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,52,United-States,<=50K -43,Private,318415,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,336595,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,160300,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,277342,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,176321,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -25,State-gov,257064,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,38,United-States,<=50K -37,Private,177974,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K -51,Private,124963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,111128,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,180103,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Male,1151,0,40,United-States,<=50K -20,Private,41432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,46,United-States,<=50K -32,Private,131425,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -41,?,155041,HS-grad,9,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K -38,Self-emp-inc,46385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -75,?,248833,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,2653,0,14,United-States,<=50K -17,?,48751,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -44,Private,228057,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K -76,Private,239880,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -56,Private,145574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Private,165134,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,Columbia,<=50K -57,Self-emp-inc,106103,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -30,Private,169269,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1721,38,Puerto-Rico,<=50K -30,Private,142921,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,204226,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -27,State-gov,21306,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -35,Private,361888,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Private,222654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,30069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K -37,Self-emp-inc,95634,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Canada,<=50K -32,Private,116055,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,35,United-States,<=50K -76,Private,82628,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -23,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -44,Private,67671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,409200,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,142886,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,195602,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,<=50K -30,Private,78530,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,292185,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,265077,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,10,United-States,<=50K -39,Private,114544,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -47,Private,358465,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,102359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,275034,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,20,United-States,<=50K -59,Self-emp-inc,159472,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,136749,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,168387,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,State-gov,234854,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -47,Federal-gov,55377,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,>50K -55,Private,144071,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,185410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,223242,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,153790,Some-college,10,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -26,Private,131401,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,166153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,100451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,38,United-States,>50K -31,Self-emp-not-inc,175509,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,?,351195,9th,5,Never-married,?,Other-relative,White,Male,0,1719,35,El-Salvador,<=50K -28,Private,209801,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -26,State-gov,158963,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,121012,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,State-gov,110257,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,194987,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,109195,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,143436,Bachelors,13,Never-married,Prof-specialty,Own-child,Other,Female,0,0,10,?,<=50K -24,?,334105,11th,7,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,146567,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K -22,?,244771,11th,7,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Local-gov,237523,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,243665,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K -25,Private,355124,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,2001,40,Mexico,<=50K -74,Self-emp-not-inc,119129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2149,20,United-States,<=50K -46,Self-emp-inc,320124,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,15024,0,40,United-States,>50K -44,Private,265266,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,43909,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -39,Private,181705,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,37778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,230875,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,180778,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K -43,Private,173728,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,285000,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,108293,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,>50K -17,Private,95799,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -66,Federal-gov,47358,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,40,United-States,<=50K -43,Self-emp-inc,82488,Bachelors,13,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -32,Private,169589,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -40,Private,143582,Masters,14,Widowed,Sales,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -43,Self-emp-not-inc,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -48,Local-gov,127921,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,193881,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,126743,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,2176,0,52,Mexico,<=50K -34,?,41493,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,309098,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,101265,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -47,Private,219632,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -34,Private,46746,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Self-emp-not-inc,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -31,Private,164309,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -27,Private,124614,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,138179,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,1876,40,United-States,<=50K -27,Private,109997,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,161007,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,215047,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Federal-gov,215900,HS-grad,9,Never-married,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,101073,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,178478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -58,State-gov,69579,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,211160,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,116993,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-not-inc,581025,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K -19,Private,387215,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1719,16,United-States,<=50K -39,Private,101782,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,48087,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,187901,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K -28,Private,250135,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -56,Private,190257,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,175029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,142332,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -48,Private,320421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,171114,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,38,United-States,<=50K -24,Private,176566,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,40,United-States,>50K -46,Private,83822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,196434,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,113936,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,153976,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -65,Local-gov,143570,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,180607,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -34,?,55921,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,190228,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,120238,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2885,0,43,United-States,<=50K -47,Self-emp-not-inc,148738,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,>50K -39,Local-gov,89508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,200471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,204494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,70,Germany,<=50K -47,Local-gov,81654,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K -67,Private,192995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K -26,State-gov,158734,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,249072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,148300,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,53569,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,209735,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,35378,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Private,109912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K -46,Private,28225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K -53,Private,224894,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,Haiti,<=50K -29,Private,309778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -60,Private,27886,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,194604,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -38,State-gov,169926,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,21,United-States,>50K -53,Federal-gov,177212,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -66,?,108185,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,258827,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -19,Private,97215,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Federal-gov,308027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,389270,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -47,Private,159550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -22,Private,233624,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -25,Private,255849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,126494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,237293,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -31,Private,145924,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,35,United-States,<=50K -67,Private,231559,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K -44,Private,32000,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -34,Federal-gov,96483,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,60,United-States,>50K -90,Private,87285,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -37,Local-gov,170861,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Private,138342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,190728,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,238673,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,90896,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,124569,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,Private,213140,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -60,Federal-gov,117509,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,337825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -37,State-gov,34996,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,234841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -50,Local-gov,145879,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,249948,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -44,Private,103459,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -18,Private,221284,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,64,United-States,<=50K -38,Private,22245,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,216256,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Italy,>50K -30,Private,207172,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -33,Private,243266,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,>50K -32,Private,120426,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,145419,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,50,United-States,<=50K -43,Private,284403,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K -32,Private,140092,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,85355,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,209205,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -22,Local-gov,200109,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -35,Self-emp-not-inc,216129,12th,8,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K -38,Private,125933,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K -23,Private,169104,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K -41,Local-gov,201520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,217296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,4064,0,22,United-States,<=50K -30,Private,169583,Bachelors,13,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -46,Self-emp-inc,40666,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K -29,Private,251170,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,273884,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -62,Private,345780,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,160216,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -50,Private,192964,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,65,United-States,<=50K -49,Self-emp-not-inc,189123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K -29,Private,156266,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K -20,Private,184779,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,228939,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,240441,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,40,United-States,>50K -27,Local-gov,230997,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,91037,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,33155,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,211168,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,United-States,<=50K -59,Local-gov,102442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -24,Private,170070,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,377322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,176711,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,109539,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Local-gov,236873,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -47,Local-gov,134671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,430151,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K -49,Private,38563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,56,United-States,>50K -19,?,400356,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,159724,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -22,Private,142566,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Local-gov,199471,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -20,?,285208,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,152915,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,287436,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -42,Private,96321,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -50,Private,141608,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -42,Private,211517,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,99233,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,78649,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -59,Private,318450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,252242,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,55,United-States,>50K -32,Federal-gov,125856,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Private,190333,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,239415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -54,Self-emp-not-inc,124865,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -59,Self-emp-not-inc,80467,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -36,Self-emp-inc,116133,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K -35,Local-gov,331395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -23,Private,236994,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K -36,State-gov,223020,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -32,Private,207172,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Private,245482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -30,Private,399088,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -26,Private,259138,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,2407,0,36,United-States,<=50K -57,Private,89392,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,?,221417,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -30,Private,331419,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,50,United-States,>50K -29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Self-emp-inc,34987,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,>50K -36,Private,558344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K -22,Private,341227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Local-gov,42596,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,187969,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Local-gov,188291,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K -35,Private,1226583,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -68,?,365350,5th-6th,3,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,203653,Bachelors,13,Divorced,Sales,Other-relative,Black,Male,0,0,40,United-States,<=50K -35,Private,108140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,188961,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,229341,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -49,Private,121602,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -77,Private,171193,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,1668,30,United-States,<=50K -41,Private,70645,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,55,United-States,<=50K -33,Private,258498,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,60,United-States,<=50K -20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K -53,Federal-gov,276868,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,377283,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -51,Self-emp-not-inc,61127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -24,Private,190143,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -21,?,120998,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,126701,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,83922,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K -28,Private,271012,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Self-emp-inc,190450,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K -21,Private,234108,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Local-gov,113545,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,165695,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,>50K -43,Federal-gov,79529,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -61,Private,197286,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,?,226989,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,165107,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,186420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,188243,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K -29,Self-emp-not-inc,58744,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -45,Self-emp-not-inc,285570,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -62,Private,26966,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,254025,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -58,Private,31532,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Federal-gov,191878,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -54,Federal-gov,72257,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,329635,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -58,Private,195878,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -72,Self-emp-inc,199233,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,35,United-States,>50K -32,Private,234195,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,136610,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -31,Private,174201,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,114973,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -24,?,115085,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Private,198774,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,323,45,United-States,<=50K -27,Private,310850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,24872,Some-college,10,Separated,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -22,?,77873,9th,5,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,107125,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,Private,56841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,159662,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,74194,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -73,Private,573446,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -57,Private,82676,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -50,Self-emp-not-inc,132716,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -60,Local-gov,227332,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,169719,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -33,Private,214635,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -48,Private,233511,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -21,Private,161508,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,State-gov,67083,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -22,Private,87569,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K -34,State-gov,209317,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,307353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -37,Private,210438,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Local-gov,244408,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -44,Private,151089,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,60,United-States,>50K -46,Private,102308,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K -46,Self-emp-not-inc,110015,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,Greece,<=50K -46,Local-gov,60751,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,339677,Masters,14,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,>50K -51,Private,95469,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,159001,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,62333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,170939,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,6723,0,40,United-States,<=50K -32,Private,65278,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,40,United-States,<=50K -19,Private,100790,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,State-gov,199266,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -25,Private,153841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,197731,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,53306,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,163021,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,144516,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Self-emp-inc,378036,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -34,Private,169496,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -20,Private,416103,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,220754,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,31095,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -48,Local-gov,216689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,240389,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K -36,Private,186035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,64631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,147201,Bachelors,13,Separated,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K -36,Self-emp-not-inc,153976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,?,138575,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,60,United-States,<=50K -32,Private,186269,HS-grad,9,Never-married,Other-service,Own-child,White,Male,2907,0,35,United-States,<=50K -78,Private,105586,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,36,United-States,<=50K -19,Private,291181,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K -29,Private,244566,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,156976,Assoc-voc,11,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,241688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,<=50K -48,Self-emp-inc,196689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,207513,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -58,Private,201344,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,54472,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,237903,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Local-gov,175255,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -39,Local-gov,167571,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2885,0,30,United-States,<=50K -35,Private,122353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,321959,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -61,Private,143800,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -28,Private,44216,HS-grad,9,Never-married,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -59,Private,254593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,48,United-States,>50K -32,Private,146154,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,330802,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,209547,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,388849,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -24,State-gov,322658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,224981,10th,6,Widowed,Craft-repair,Other-relative,White,Male,0,0,18,Mexico,<=50K -23,Private,197286,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -38,Private,222573,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Federal-gov,56795,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,55,United-States,>50K -47,Local-gov,398397,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,809585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,172579,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -53,Private,242606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,245378,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,408012,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -48,Private,80651,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,55,United-States,<=50K -51,Private,351416,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,99373,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,State-gov,141608,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -27,Private,86153,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,Germany,<=50K -21,Private,452640,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,171889,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,153434,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -45,Private,242552,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,68111,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,State-gov,483530,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,175778,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,124975,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,27828,0,55,United-States,>50K -42,Private,263608,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,216178,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -75,Self-emp-not-inc,309955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K -37,Private,324947,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,109133,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -26,Private,181838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,225193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,63,United-States,<=50K -27,Private,125298,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Private,154863,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -28,Self-emp-not-inc,195607,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,39615,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,98588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,242464,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Local-gov,171095,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -24,Private,208882,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,240172,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,145139,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Federal-gov,130760,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,<=50K -50,Private,99316,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,262233,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,47,United-States,<=50K -18,State-gov,76142,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -31,Private,247328,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,179772,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,116927,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -22,Private,247734,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,198901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,196084,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -50,Private,196963,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,State-gov,73211,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -32,Private,286675,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -17,Private,239346,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -44,Private,194924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -25,State-gov,152035,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,101283,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,219155,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,136419,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K -37,Private,118577,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K -32,Private,356689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,3887,0,40,United-States,<=50K -34,Private,258170,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -47,Self-emp-not-inc,216657,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -45,Self-emp-inc,36228,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,35,United-States,>50K -50,Private,192203,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,215175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,255252,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -55,?,90290,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,85109,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,113577,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,123838,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -34,Private,173495,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,453233,10th,6,Separated,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -53,Self-emp-not-inc,118793,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -34,?,181934,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,156413,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K -33,Private,170651,HS-grad,9,Never-married,Other-service,Own-child,White,Female,1055,0,40,United-States,<=50K -24,Private,229393,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,2463,0,40,United-States,<=50K -62,Private,169204,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,State-gov,86143,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -41,Private,347653,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -29,Private,56630,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,553588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -33,Private,34574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -21,?,33087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -33,Private,113364,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,192936,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -51,Local-gov,43705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,54,United-States,>50K -27,Private,96219,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -55,Private,414994,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,393360,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,30,United-States,<=50K -36,Private,35429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,Local-gov,210275,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -37,Private,348739,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -59,Private,169639,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,269799,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,408585,7th-8th,4,Married-civ-spouse,Farming-fishing,Own-child,White,Female,0,0,45,Mexico,<=50K -22,Private,215917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -17,Private,245918,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -46,Private,230806,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,191444,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -52,State-gov,216342,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -49,Private,242987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K -54,Private,167770,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -31,Private,55849,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,118786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K -53,State-gov,144586,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,?,145886,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -44,Private,35910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,56,United-States,>50K -25,Self-emp-not-inc,159909,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,108838,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,233511,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -27,Private,205440,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,258932,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,101266,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,62,United-States,<=50K -38,Private,34173,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -35,Private,196373,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,40,United-States,<=50K -24,Private,206891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,61885,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -42,Private,268183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,<=50K -33,Private,69251,Assoc-voc,11,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -40,State-gov,34218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,?,144461,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,>50K -51,Local-gov,250054,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,State-gov,79580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,186925,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2597,0,48,United-States,<=50K -50,Self-emp-not-inc,30731,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,268234,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,169995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -33,Self-emp-not-inc,245173,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,188738,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,27,United-States,<=50K -21,?,285830,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,20,Laos,<=50K -35,Local-gov,217926,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,216116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -26,Private,272865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,290740,Assoc-acdm,12,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,130589,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,94809,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -56,Private,201344,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K -52,Private,72257,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,139388,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,59083,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K -21,Private,131230,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -35,Private,182898,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K -59,Local-gov,205718,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,Canada,<=50K -24,Self-emp-not-inc,277700,Some-college,10,Separated,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -31,Private,83446,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -22,?,291547,5th-6th,3,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Mexico,<=50K -30,Private,250804,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,29488,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -17,Private,182158,10th,6,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K -21,?,305466,Some-college,10,Never-married,?,Own-child,White,Male,0,0,70,United-States,<=50K -39,Private,347434,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,43,Mexico,<=50K -17,Private,152696,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -37,Private,126675,Some-college,10,Widowed,Machine-op-inspct,Other-relative,White,Male,0,0,40,?,<=50K -55,Private,157932,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,102729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -29,Private,283227,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,109307,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,288371,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K -57,Private,61474,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -23,Private,353542,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -36,?,187983,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,36385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -43,Private,187861,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,44,United-States,<=50K -76,?,28221,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,>50K -40,Private,139193,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1980,48,United-States,<=50K -29,Private,188401,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,123939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,196621,HS-grad,9,Married-spouse-absent,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K -29,Private,238680,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K -57,Self-emp-not-inc,95280,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K -51,Local-gov,420917,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,31460,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,State-gov,334273,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,334744,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,97470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,27433,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Local-gov,194141,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -40,Private,170482,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,14344,0,45,United-States,>50K -21,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -64,Private,47298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -27,Private,77774,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K -28,Private,189530,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,216361,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,16,United-States,<=50K -25,Local-gov,262818,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,Guatemala,<=50K -19,Private,199480,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -43,Private,245056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -30,Private,167309,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K -46,Private,190115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -35,Self-emp-not-inc,194404,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,242984,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,192384,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -51,Private,75640,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -59,Local-gov,171328,HS-grad,9,Separated,Protective-serv,Other-relative,Black,Female,0,2339,40,United-States,<=50K -19,Private,119075,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -20,Private,193586,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K -49,Private,289707,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -34,Private,229732,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -79,Private,187492,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K -28,Local-gov,336543,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K -48,Private,39530,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,355856,5th-6th,3,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -51,Private,59840,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,2174,0,40,United-States,<=50K -42,Private,201466,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,155781,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Local-gov,46537,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,10,United-States,<=50K -23,Federal-gov,41031,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,Private,106843,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,30,United-States,<=50K -23,Private,306601,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -50,Private,106422,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,1485,37,United-States,>50K -30,?,157289,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Local-gov,304973,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,78,United-States,>50K -38,Private,430035,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K -43,Private,149102,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,204314,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,United-States,>50K -42,Private,138634,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,200327,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K -55,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,35,Greece,>50K -33,Self-emp-not-inc,656488,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Male,0,0,50,United-States,<=50K -44,Private,210525,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,280483,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,165814,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,186452,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,303619,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,167415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,198103,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,1980,40,United-States,<=50K -34,Private,73928,10th,6,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K -33,Self-emp-not-inc,103860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -64,?,228140,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -57,Private,162301,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,131379,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,225775,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,?,193895,7th-8th,4,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,173586,7th-8th,4,Never-married,Other-service,Own-child,Black,Male,0,0,56,United-States,<=50K -56,Private,70857,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,428350,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -18,Private,54440,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,207982,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,287581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -51,Self-emp-not-inc,121548,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -61,Private,149653,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,253801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K -31,Private,207201,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,117273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,272944,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,37072,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,190836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,146499,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,1579,40,United-States,<=50K -44,Local-gov,157473,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -76,?,84755,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,271933,Masters,14,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -60,Private,185836,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,298635,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -17,Private,275051,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -54,Private,86837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K -36,Private,305379,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,268620,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -26,Private,146343,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -34,Private,264651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,240236,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Male,0,0,30,United-States,<=50K -25,Private,185942,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -43,Self-emp-not-inc,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,205339,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -59,Private,107318,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K -31,Local-gov,187689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,180342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,22245,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -32,Private,220333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,46,United-States,>50K -20,Private,143604,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,115326,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,164733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,<=50K -53,Self-emp-inc,136823,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -32,Private,164190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -18,Private,234953,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -45,State-gov,208049,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,193701,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K -49,Private,34545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -24,Private,174845,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,159299,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,241844,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,152373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -65,Private,184454,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6418,0,40,United-States,>50K -55,Local-gov,99131,HS-grad,9,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,2246,40,United-States,>50K -52,Private,228516,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -90,Private,347074,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1944,12,United-States,<=50K -57,Private,199572,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,199963,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,202046,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,2001,40,United-States,<=50K -42,Private,126319,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -69,Local-gov,61958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1424,0,6,United-States,<=50K -22,Private,122048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,4416,0,40,United-States,<=50K -66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -54,Local-gov,286342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,>50K -41,Private,230959,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -26,Private,135845,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -24,Private,498349,Bachelors,13,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,148599,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -27,Private,266973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,380922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -49,Private,298130,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,137532,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,168262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K -56,State-gov,165867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,117253,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,347491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Private,196501,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K -23,Private,80680,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -46,Private,151584,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -55,Private,209962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,236543,12th,8,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,?,191806,Some-college,10,Never-married,?,Own-child,White,Male,0,0,75,United-States,<=50K -25,Private,391591,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,104089,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,181291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,50,United-States,>50K -27,Private,110622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -41,Private,279914,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -58,Private,158002,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -84,Private,132806,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K -40,Private,175696,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,Private,260560,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -28,?,192257,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -36,Private,284616,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,53702,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,210474,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,191324,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,97153,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -25,Private,421467,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K -30,Local-gov,145692,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,1974,40,United-States,<=50K -45,Private,347834,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,348592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -23,Private,203078,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,24,United-States,<=50K -28,Private,134890,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,142875,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Private,233059,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,95885,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,60,United-States,>50K -21,Private,442131,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,103408,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Germany,>50K -47,State-gov,80914,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K -45,Self-emp-not-inc,105838,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -38,Local-gov,409200,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,228395,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Private,103605,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,146391,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,231962,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,26803,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,176185,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K -58,?,169590,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,51262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,336367,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -20,Private,282579,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,67243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Portugal,<=50K -27,State-gov,301302,Doctorate,16,Married-spouse-absent,Tech-support,Not-in-family,White,Male,0,0,20,?,<=50K -52,Private,174752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -20,Private,247794,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,84,United-States,<=50K -37,Self-emp-inc,196123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -54,Self-emp-inc,147239,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -47,Private,121124,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -51,Private,128143,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,375482,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Local-gov,27802,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K -23,Private,233711,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,542610,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K -31,Private,199883,12th,8,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,111377,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,178147,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -49,Private,80914,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,308746,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -52,Private,187938,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,49,United-States,<=50K -22,?,195143,Some-college,10,Never-married,?,Own-child,White,Female,0,0,29,United-States,<=50K -39,Self-emp-not-inc,247975,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -23,?,62507,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -57,Federal-gov,170603,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,325179,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -56,Private,131608,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,194475,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,255675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,?,214800,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -48,Private,77404,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -52,Private,95329,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,India,<=50K -25,Private,257910,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,113398,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -33,Private,598802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Local-gov,273399,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Peru,<=50K -41,Private,340148,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,230126,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,221172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -62,?,194660,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -18,Private,137646,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,331894,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -33,Private,183887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,46,United-States,>50K -48,Private,196707,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,214781,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,>50K -30,?,164940,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,25,United-States,<=50K -51,Private,144284,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,207807,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,30,United-States,<=50K -36,Private,143385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,259377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -29,Local-gov,194869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -35,Private,337286,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Private,207513,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,42,United-States,>50K -60,Local-gov,138502,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K -30,Private,207172,11th,7,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,?,22428,Masters,14,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,84136,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -23,Private,133582,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -21,?,230397,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -41,Local-gov,113324,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,224947,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,85109,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -44,Local-gov,263871,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,158275,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,625,40,United-States,<=50K -56,Private,371064,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,194861,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,158420,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,25,United-States,<=50K -29,Private,31166,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,30,Germany,<=50K -44,Private,374423,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K -24,Private,249957,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,114764,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,199058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -21,Private,86625,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,?,<=50K -42,Self-emp-inc,369781,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K -25,Private,279833,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1590,44,United-States,<=50K -21,Private,283757,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -33,?,393376,11th,7,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,139517,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -74,Private,209454,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -53,Private,227602,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,Mexico,<=50K -44,Local-gov,32627,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K -27,Private,29732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,36,United-States,<=50K -20,State-gov,158206,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -57,Private,199847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -36,Self-emp-not-inc,166193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -64,Private,146110,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -27,Private,170017,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,122283,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,India,>50K -50,Private,237868,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,266345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,86150,HS-grad,9,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -56,Private,219426,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,287737,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K -30,Private,46712,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,382368,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,280292,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -35,Private,194690,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,256908,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,>50K -43,Private,188905,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -38,Private,223004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,113866,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,207537,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,1669,50,United-States,<=50K -48,Self-emp-not-inc,97883,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -25,Private,462869,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -33,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -57,Private,134195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,115677,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,245053,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,1504,40,United-States,<=50K -30,State-gov,234824,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,72,United-States,<=50K -45,Private,281565,HS-grad,9,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,50,South,<=50K -56,Private,134195,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,212091,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,75435,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Local-gov,170772,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,116632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -23,Private,176262,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Female,0,0,36,United-States,<=50K -20,Private,447488,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,30,Mexico,<=50K -41,Private,132633,11th,7,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,25,Guatemala,<=50K -32,?,640383,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,194259,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -46,Private,344415,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,262024,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -25,?,52151,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -37,Private,49115,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,526164,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,110643,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K -19,Private,104830,7th-8th,4,Never-married,Transport-moving,Unmarried,White,Male,0,0,25,Guatemala,<=50K -32,Private,80557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -29,Private,24153,Some-college,10,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -46,Private,102359,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,?,124836,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -32,Private,153353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,376700,Bachelors,13,Never-married,Sales,Own-child,Black,Male,6849,0,50,United-States,<=50K -29,Self-emp-not-inc,322238,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,?,76043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,>50K -39,Federal-gov,30673,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -18,Private,421350,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -56,Private,373216,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -32,Local-gov,393376,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,48,United-States,<=50K -36,Private,99146,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -50,Self-emp-not-inc,98180,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K -73,?,132737,10th,6,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -38,Self-emp-inc,320811,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,160035,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -35,Private,106471,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,60087,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -21,Self-emp-not-inc,190968,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -56,Private,320833,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -42,Federal-gov,70240,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,283268,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -18,Private,27620,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -39,Private,113725,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K -29,Private,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,53628,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,35,United-States,<=50K -29,Private,152951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,>50K -61,Private,176839,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -21,Private,154422,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Private,248795,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Private,172155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,Ecuador,>50K -90,Local-gov,227796,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,60,United-States,>50K -29,Private,31935,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,99316,12th,8,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -57,Self-emp-inc,101338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -24,Private,211968,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,271013,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,409230,12th,8,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Private,53497,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,State-gov,49352,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -39,Federal-gov,388252,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,255424,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -46,Local-gov,124071,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,65,United-States,>50K -22,Private,243178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -36,Private,172538,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,202950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Iran,>50K -25,Private,41526,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,30,Canada,<=50K -40,Self-emp-not-inc,45093,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Canada,<=50K -37,Private,37238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,22743,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1740,40,United-States,<=50K -39,Private,215419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -19,?,129586,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,169121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -38,Private,110167,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Self-emp-inc,109832,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -53,Private,313243,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,2444,45,United-States,>50K -47,Self-emp-not-inc,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -55,Private,426263,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,99679,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -30,Private,342709,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Private,230329,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K -45,Private,377757,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,165412,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -51,Self-emp-inc,77392,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -62,Private,218009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,60,United-States,>50K -31,Private,236391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,92162,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -22,Private,109456,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -27,Private,209085,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -65,Self-emp-inc,226215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,151089,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,213975,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -31,State-gov,440129,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,158420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Iran,<=50K -36,Private,266461,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,48,United-States,<=50K -27,Private,164607,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,440934,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,118551,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K -31,Private,176410,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -32,Private,205528,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,248584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -58,Federal-gov,26947,Bachelors,13,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -28,Private,349751,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,2174,0,50,United-States,<=50K -17,Private,113301,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,?,<=50K -59,State-gov,349910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,50,United-States,>50K -23,Private,32950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -87,?,97295,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -28,Private,377095,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,175615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Japan,<=50K -20,Private,161978,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,159303,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -49,Private,124356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -24,Private,106085,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,1721,30,United-States,<=50K -48,Private,313925,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -30,Private,425528,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,70,United-States,<=50K -43,Private,112181,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,32,United-States,>50K -34,State-gov,98101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,?,>50K -49,Local-gov,174981,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,47,United-States,>50K -58,Self-emp-not-inc,130714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,314068,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Federal-gov,142769,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,201175,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Private,69884,Prof-school,15,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -36,Private,150548,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -21,Private,117476,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -40,?,246862,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -22,Private,279802,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,20323,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,29320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,332379,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,48,United-States,<=50K -25,Private,102476,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,27828,0,50,United-States,>50K -36,Private,181589,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,Columbia,<=50K -24,Private,162312,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K -23,Private,27073,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -30,Private,56121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,296466,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,187203,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -25,State-gov,180884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -21,Private,307371,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,15,United-States,<=50K -18,Private,120029,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -34,Private,113688,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -24,Private,200153,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,151053,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,76625,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,227626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,267891,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -59,Private,99131,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -33,Private,379798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,86808,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -78,?,363134,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K -36,Local-gov,74593,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,264526,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,339755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -42,Private,198341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,55,India,>50K -30,?,96851,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1719,25,United-States,<=50K -25,Private,126974,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,95128,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,318918,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -70,Private,90245,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K -35,Private,106967,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,266645,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,466502,7th-8th,4,Widowed,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K -50,Private,269095,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,194690,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,Mexico,<=50K -42,Private,261929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -70,Private,236055,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,70034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -62,Local-gov,180162,9th,5,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,24,United-States,<=50K -37,Private,355856,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -37,Private,26898,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K -39,Local-gov,301614,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -62,?,337721,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -69,Private,140176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -27,?,129661,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -28,State-gov,190525,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,32528,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,?,149385,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,State-gov,179089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Self-emp-not-inc,121568,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K -24,Private,233777,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,Mexico,<=50K -59,Self-emp-not-inc,32855,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -41,Private,174189,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,62507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,161708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -36,Private,149653,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,245090,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -25,Private,158734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,172941,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,20,United-States,<=50K -18,Local-gov,242956,11th,7,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,268022,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -21,Private,27162,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -46,Federal-gov,195023,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,342642,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K -39,Self-emp-inc,131288,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K -33,Private,173248,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K -48,?,151584,Some-college,10,Never-married,?,Not-in-family,White,Male,8614,0,60,United-States,>50K -81,Private,36147,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,2,United-States,>50K -33,Private,312881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,208785,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Private,172822,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,52,United-States,>50K -26,Private,102476,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -54,Private,285854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -76,Local-gov,224058,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K -43,Self-emp-not-inc,154785,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,80,Thailand,<=50K -23,Private,157839,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,168981,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,22154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,95530,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,165922,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,102076,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -67,Private,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -25,Private,789600,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,State-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -27,Private,95108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,28856,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,148254,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,?,>50K -34,Local-gov,33731,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -45,Private,39464,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,162343,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -69,Self-emp-not-inc,92472,10th,6,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3273,0,45,United-States,<=50K -41,Private,299505,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,?,142043,11th,7,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K -52,Private,207025,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K -57,?,274900,7th-8th,4,Married-civ-spouse,?,Other-relative,White,Male,0,0,45,Dominican-Republic,<=50K -55,Private,240988,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -32,Private,195744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,144949,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -18,Private,387568,10th,6,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,290441,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,93884,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -35,Private,102268,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,126677,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,203761,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,218490,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -27,Private,98769,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -25,Private,456618,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -19,Private,96176,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,188488,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -62,Private,93997,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -46,Private,369538,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,148995,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,4787,0,45,United-States,>50K -43,Private,137304,Bachelors,13,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,>50K -45,Private,123283,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,15,United-States,<=50K -24,Private,72119,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,2202,0,30,United-States,<=50K -37,Private,40955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,222434,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,Canada,>50K -38,Self-emp-not-inc,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -46,Private,126513,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K -25,Private,77698,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -38,Federal-gov,95432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -32,Private,180799,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -51,Self-emp-not-inc,32372,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K -25,Private,174592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -22,Local-gov,289982,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -51,Private,102828,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Greece,<=50K -46,Private,161508,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Never-worked,131593,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -23,Local-gov,199555,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1590,40,United-States,<=50K -31,Private,178664,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -33,Private,69727,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,318612,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1504,40,United-States,<=50K -31,Private,117963,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -65,Self-emp-not-inc,200565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K -20,Private,225811,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K -39,Private,164733,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,256628,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K -56,Self-emp-not-inc,162130,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K -71,?,176986,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,24,United-States,<=50K -31,Private,164190,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,171184,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K -27,Private,155382,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -19,Private,140985,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K -42,Private,210525,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K -17,?,341395,10th,6,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -33,Private,195488,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,<=50K -20,Private,148294,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,131404,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -22,Private,284895,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,169544,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,205188,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,142764,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -58,Private,244605,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -44,Private,142968,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -50,State-gov,103063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Private,221915,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,65,United-States,<=50K -33,?,182771,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,80,Philippines,<=50K -36,Local-gov,268205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,52,United-States,<=50K -69,Private,230417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,China,>50K -42,Private,137698,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -35,Private,228493,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -71,?,283889,HS-grad,9,Married-spouse-absent,?,Not-in-family,Black,Male,0,1816,40,United-States,<=50K -22,Private,253310,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K -36,Private,358682,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,?,<=50K -19,?,124884,9th,5,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -81,Private,192813,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Portugal,<=50K -24,Private,83774,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,?,128640,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -25,Private,182866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,176681,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K -57,Private,142714,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -57,Private,165695,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -37,Private,220314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -57,Local-gov,121111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,91905,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,4,United-States,<=50K -19,Private,439779,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -62,?,232719,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,141058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -57,State-gov,243033,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,535762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1844,10,United-States,<=50K -20,Private,400443,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,31600,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,153132,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -41,Private,162189,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,1831,0,40,Peru,<=50K -45,Private,260543,Masters,14,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K -23,Private,386337,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K -23,Private,184813,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -56,Federal-gov,75804,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Private,111363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,260265,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,235393,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,274818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-inc,136277,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,16,United-States,<=50K -21,Private,440969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,241431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,178255,Some-college,10,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,?,<=50K -30,Private,39386,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,99,United-States,<=50K -41,Self-emp-inc,397280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,?,<=50K -19,Private,212468,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -42,Self-emp-not-inc,29320,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -41,Federal-gov,348059,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -56,Self-emp-inc,76534,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,21,China,<=50K -30,Private,289458,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,165267,10th,6,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -22,Federal-gov,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K -30,Private,134737,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K -20,Private,227943,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -59,State-gov,163047,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -33,Private,184245,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Columbia,<=50K -22,Private,318915,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,166789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,208019,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,117963,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Local-gov,217210,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,38,United-States,>50K -21,Private,138768,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,98642,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K -26,Private,244495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -40,Private,184682,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,175509,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,79036,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -34,Private,117963,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -37,Self-emp-not-inc,143368,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -38,Self-emp-not-inc,112158,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -24,State-gov,147253,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,30796,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,183557,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,185399,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -66,Private,95644,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,370675,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,50,Hong,<=50K -34,Self-emp-inc,513977,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,United-States,<=50K -34,Private,93169,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,91733,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -68,Private,138714,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -30,Private,203488,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,118551,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,16,United-States,>50K -32,Private,260868,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,353010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,10,United-States,<=50K -22,Private,190968,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,147258,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1974,40,United-States,<=50K -45,Local-gov,215862,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -27,Private,189775,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -60,Private,93997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -29,Private,286634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -32,Private,143604,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K -64,Private,102470,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,191480,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,State-gov,56402,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,231866,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -24,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -46,Local-gov,209057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,162302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,50018,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -28,Private,64940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -31,State-gov,59969,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -51,Private,138852,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,El-Salvador,>50K -27,Private,123799,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K -32,Private,331539,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,United-States,<=50K -38,State-gov,116975,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K -52,?,134447,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,168524,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -37,Private,211154,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K -26,Private,342765,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -65,Self-emp-not-inc,175202,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -46,Private,268234,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -21,Private,154165,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K -19,?,131982,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,58949,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,109053,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,159715,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,196396,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,75313,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,66,United-States,>50K -27,Private,284196,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,143436,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -31,Private,53776,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Self-emp-inc,267101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,201984,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,170786,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,200496,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,277530,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,276075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,69621,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Self-emp-not-inc,26248,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -31,Private,145139,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,191177,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -17,?,139183,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,92093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -51,Private,159604,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -26,Private,94477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,55,United-States,>50K -49,Private,140782,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,184477,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,?,222548,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -40,Private,72791,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Private,226296,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -56,Self-emp-not-inc,200235,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,170797,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,207847,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,132874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,181242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,183532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,198660,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,?,43103,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,178107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,138938,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -47,Private,162859,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -31,Private,158291,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,319052,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,0,0,37,Philippines,<=50K -45,Private,112283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -30,Private,133602,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,?,33339,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,113491,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,261504,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K -45,Private,240554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,252231,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,Puerto-Rico,<=50K -31,Private,110643,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -51,Local-gov,96678,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -39,Self-emp-not-inc,93319,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,4,United-States,<=50K -30,Private,180574,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -28,?,243190,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,30,?,<=50K -22,Private,197387,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,24,Mexico,<=50K -53,Federal-gov,177647,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K -47,Private,169180,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Private,104501,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K -54,Self-emp-not-inc,105010,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,197613,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,219137,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,22,United-States,<=50K -81,Private,100675,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Poland,<=50K -45,State-gov,127089,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,?,199116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,40,Dominican-Republic,<=50K -51,Private,299353,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,<=50K -46,Private,324655,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,?,>50K -39,Self-emp-not-inc,83242,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,217769,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,157367,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,?,<=50K -24,Private,210029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,2001,37,United-States,<=50K -21,Private,229826,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -43,State-gov,134782,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Private,31481,Bachelors,13,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -56,Private,182460,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -43,Private,311534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -33,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -24,Local-gov,403471,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,48,United-States,<=50K -34,Local-gov,382078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -29,Private,285290,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,502837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Peru,<=50K -25,Private,151810,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,28,United-States,<=50K -41,Private,253759,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,191878,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -33,Private,176711,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,England,<=50K -39,Private,497788,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,192766,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,158641,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,187702,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,45,United-States,<=50K -24,Private,295763,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -30,Private,176064,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -47,Private,348986,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,28,Taiwan,<=50K -45,Private,37718,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,143078,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,2444,55,United-States,>50K -23,Private,256356,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,State-gov,223944,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -56,Private,50490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -32,Private,188362,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,320027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,185106,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,194360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -51,Private,168553,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -45,Self-emp-not-inc,196858,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,278476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -50,Private,299215,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,149168,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,242559,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,1408,40,United-States,<=50K -42,Private,296749,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,85767,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -20,Private,174685,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,104617,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,99,Mexico,<=50K -46,Private,145290,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,142874,Assoc-acdm,12,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K -59,Private,107833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,40,United-States,>50K -30,Private,277455,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,235271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,?,102323,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,276087,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K -51,Private,237735,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K -47,Local-gov,219632,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K -45,Private,129371,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Trinadad&Tobago,<=50K -45,Local-gov,308275,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,65,United-States,>50K -67,Private,158301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,126876,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -58,Local-gov,248739,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,197514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,<=50K -45,State-gov,32186,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,137578,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,United-States,<=50K -49,Private,122493,HS-grad,9,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,247981,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,5455,0,50,United-States,<=50K -25,State-gov,31350,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,159442,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K -29,Private,364986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1628,47,United-States,<=50K -58,Federal-gov,139290,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,157783,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,Vietnam,<=50K -21,Private,57298,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,211345,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,209942,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -44,Private,121718,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K -26,Private,31143,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,394447,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,33,United-States,>50K -68,?,286869,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,1668,40,?,<=50K -46,Federal-gov,199725,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K -21,Private,29810,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Private,194537,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,181015,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -44,Self-emp-not-inc,171424,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2205,35,United-States,<=50K -20,Private,88126,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,England,<=50K -49,Self-emp-not-inc,285570,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,71145,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -23,?,263220,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,239663,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,251905,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -22,Private,122272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,437666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,50,United-States,<=50K -33,Local-gov,100446,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,393728,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -35,Private,240467,Some-college,10,Separated,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,>50K -23,?,343553,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,260327,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -61,Private,192237,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,87329,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,193298,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -49,?,31478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -22,Private,288132,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -54,Self-emp-not-inc,94323,9th,5,Married-civ-spouse,Craft-repair,Wife,Amer-Indian-Eskimo,Female,0,2163,15,United-States,<=50K -51,Self-emp-not-inc,125417,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -31,Private,182237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -52,Local-gov,246197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,?,36635,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K -50,Self-emp-not-inc,221336,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K -47,Private,265275,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,109053,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K -72,?,314567,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -32,Private,426467,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,3674,0,40,Guatemala,<=50K -48,Private,332465,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -50,Private,100109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -49,Private,173115,10th,6,Separated,Exec-managerial,Not-in-family,Black,Male,4416,0,99,United-States,<=50K -49,Private,201127,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,United-States,<=50K -62,Private,244933,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,408417,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Local-gov,146497,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,157486,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,140513,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -23,Private,139187,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -25,Private,182227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -31,Private,195750,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,222089,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Thailand,<=50K -28,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,145868,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,391312,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -26,Self-emp-not-inc,37023,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,78,United-States,<=50K -67,State-gov,167687,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3456,0,35,United-States,<=50K -38,Private,185203,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Private,130540,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,1564,40,United-States,>50K -45,Private,81132,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -41,Private,174201,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,192203,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -64,Self-emp-not-inc,150121,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K -28,Private,195000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K -44,Self-emp-not-inc,242434,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,27828,0,60,United-States,>50K -25,Private,299765,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -35,Private,86648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -26,Private,48718,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,2907,0,40,United-States,<=50K -18,Private,59202,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,10,United-States,<=50K -18,Private,112626,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,15,United-States,<=50K -73,State-gov,96262,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,71738,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -57,Private,107443,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K -31,Self-emp-not-inc,122749,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -63,?,301611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -65,Private,222810,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,State-gov,56964,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -33,Private,124407,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,249720,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,55,United-States,>50K -56,Self-emp-not-inc,62539,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,65,Greece,>50K -55,Federal-gov,186791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,State-gov,256984,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -51,Private,142835,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,333636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,?,>50K -50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,?,32207,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,75,United-States,<=50K -27,Private,212578,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K -35,Private,67728,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,45,United-States,<=50K -46,Local-gov,195418,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,116830,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,141944,Assoc-voc,11,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1380,42,United-States,<=50K -43,Private,194773,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,110013,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,183041,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,172538,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -34,Private,345705,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -32,Private,222654,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,103824,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -42,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,43,United-States,<=50K -47,Self-emp-not-inc,199058,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,176249,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -35,Private,334291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,297742,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,State-gov,262664,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,189941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,137225,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,?,41035,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -60,Private,205934,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -52,Private,404453,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,230420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -56,Private,142182,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -21,Private,255685,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -56,Local-gov,191754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Local-gov,98725,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,42,United-States,<=50K -31,Private,181388,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,45,United-States,>50K -33,Private,182401,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,163303,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -42,State-gov,218948,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,36,Jamaica,<=50K -38,Private,52738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,39388,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,32948,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,63225,1st-4th,2,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -17,Private,207791,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,98361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -79,Federal-gov,62176,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,6,United-States,>50K -39,?,265685,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,65,Puerto-Rico,<=50K -37,Private,236359,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -45,Self-emp-not-inc,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,14084,0,45,United-States,>50K -40,Private,207578,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,60,United-States,>50K -46,Private,164877,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -45,Private,116255,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,?,164866,10th,6,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K -30,Private,79448,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K -35,Private,144322,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,340217,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -35,Private,115214,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,65,United-States,<=50K -39,Private,348521,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,99,United-States,>50K -42,?,137390,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,151386,HS-grad,9,Married-spouse-absent,Other-service,Own-child,Black,Male,0,0,40,Jamaica,<=50K -57,Self-emp-inc,412952,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,91257,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -40,Local-gov,166822,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,36,United-States,>50K -31,?,186369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,249751,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,207631,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,52,Mexico,<=50K -33,Private,157446,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -42,Private,91836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,192755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,>50K -19,Private,171306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,3,United-States,<=50K -67,Private,105216,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -32,Self-emp-not-inc,97723,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,104003,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -57,Private,49893,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -34,Private,108023,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,160647,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,4687,0,35,United-States,>50K -28,Private,399123,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,253759,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K -24,Private,267945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -69,Self-emp-not-inc,165017,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,377140,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,35,Nicaragua,<=50K -36,Private,295706,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3674,0,42,United-States,<=50K -50,Local-gov,120521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -40,Private,184378,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Puerto-Rico,<=50K -44,Private,124563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,106276,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,38772,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,100681,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2463,0,40,United-States,<=50K -33,Private,176410,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,10,United-States,>50K -65,Local-gov,221026,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -61,Private,345697,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -33,Private,288825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,84,United-States,<=50K -44,Local-gov,290403,Assoc-voc,11,Divorced,Protective-serv,Own-child,White,Female,0,0,40,Cuba,<=50K -27,Self-emp-not-inc,32280,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,253420,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -69,Private,203313,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,991,0,18,United-States,<=50K -21,Private,189203,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,112497,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,4934,0,50,United-States,>50K -41,Federal-gov,160467,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K -51,Local-gov,74784,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,171393,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K -40,Private,133974,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,173125,12th,8,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K -62,Private,186696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,84787,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,204235,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,371886,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,46,United-States,<=50K -58,State-gov,223400,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -17,Private,214787,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,115549,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -53,Federal-gov,227836,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,128700,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,363425,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,205175,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,37,United-States,<=50K -30,Private,116138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K -21,Private,26842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -17,Private,169037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,33109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,58,United-States,>50K -38,Self-emp-not-inc,140583,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -60,Private,288684,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,166416,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,175943,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -45,Private,186272,9th,5,Married-civ-spouse,Adm-clerical,Husband,Black,Male,5178,0,40,United-States,>50K -29,State-gov,133846,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -64,Private,342494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,373263,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -54,Self-emp-not-inc,179704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Private,99527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,299725,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K -50,Local-gov,237868,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,63210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -38,Private,173968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,177648,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,65078,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,36058,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Local-gov,104996,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -48,Federal-gov,34998,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -22,Private,244773,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -49,Federal-gov,157569,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,<=50K -19,Private,120361,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,145576,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,Japan,>50K -36,Private,133655,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,134737,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -47,Private,160440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -61,Private,99784,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Private,272338,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,334679,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -19,Private,248749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -19,Private,386492,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -23,State-gov,251325,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,8,?,<=50K -46,Private,189762,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K -25,Private,76144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -70,?,54849,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -33,Private,179747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,225879,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,30,Mexico,>50K -43,Private,266324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,99,United-States,>50K -47,Self-emp-not-inc,177533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,179781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -57,Self-emp-not-inc,177271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,141420,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,81961,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,256362,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,123306,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,116736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,217971,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,13,United-States,<=50K -42,Private,284758,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,200783,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Self-emp-not-inc,135716,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -48,Private,195104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,247483,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,223660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -32,Self-emp-not-inc,35595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,347993,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K -65,Private,213477,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,28,United-States,<=50K -45,Private,131826,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,416415,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Self-emp-not-inc,398874,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -27,State-gov,187327,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Local-gov,339163,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -40,State-gov,390781,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K -43,Private,55294,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,29054,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,84,United-States,<=50K -62,Private,252668,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -58,Self-emp-inc,112945,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K -38,Private,95647,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -28,Self-emp-inc,167737,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -20,Private,242077,HS-grad,9,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,241885,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -38,?,281768,7th-8th,4,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -38,Self-emp-inc,275223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -46,Private,40666,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -56,Private,106723,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,116632,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,34572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -72,Self-emp-not-inc,32819,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,123807,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -78,Self-emp-inc,237294,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -52,Self-emp-inc,74712,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -68,Private,163346,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -74,Self-emp-inc,148003,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,6,United-States,>50K -23,Private,365881,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Private,182863,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,73289,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,215857,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -29,Private,194200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -41,Self-emp-inc,94113,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,219300,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -37,State-gov,157641,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Private,164200,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,167967,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K -52,Private,222646,12th,8,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Cuba,<=50K -17,?,166759,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,191265,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,63910,HS-grad,9,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -17,Private,136363,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -49,Federal-gov,233059,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,234271,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,123965,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,216645,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -30,Private,254905,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,195602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -41,Private,55395,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,26915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,199058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -49,Private,323773,11th,7,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Local-gov,319280,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -20,?,291746,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,284706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,1977,60,United-States,>50K -46,Private,149640,7th-8th,4,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,166549,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,20469,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -27,Private,192140,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Self-emp-inc,214974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -33,State-gov,340899,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -34,Private,192002,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -22,Private,227594,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,175761,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -25,Private,288519,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,State-gov,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -32,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,United-States,<=50K -51,Private,64643,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,?,<=50K -50,Local-gov,157043,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,2202,0,30,?,<=50K -31,Federal-gov,203488,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,243569,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K -44,Private,43711,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,183017,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K -51,Private,178241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,333305,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -27,Private,109611,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Portugal,<=50K -46,Private,226032,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,>50K -20,Private,111697,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,28,United-States,<=50K -37,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,189933,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,State-gov,119422,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,181916,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,79443,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -53,State-gov,231472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,249368,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -31,Private,198751,Bachelors,13,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -44,Federal-gov,139161,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1741,40,United-States,<=50K -40,Private,53774,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,12,United-States,<=50K -56,Private,282023,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,36423,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -48,Self-emp-inc,106232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K -41,Private,283174,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -29,Private,197618,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,174355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,43646,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,199378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,?,109921,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,32,United-States,<=50K -53,Private,139671,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -29,State-gov,356089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,365328,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,260696,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -31,Private,217460,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Self-emp-inc,251675,Some-college,10,Divorced,Sales,Not-in-family,White,Male,8614,0,50,Cuba,>50K -22,Private,202125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,572751,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,Mexico,>50K -80,Self-emp-not-inc,225892,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,40,United-States,<=50K -27,Private,160731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,298113,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,27882,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,2205,40,Holand-Netherlands,<=50K -57,State-gov,109015,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,198000,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,38,United-States,>50K -25,Private,359985,5th-6th,3,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,33,Mexico,<=50K -31,Private,49325,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Federal-gov,346532,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,179136,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,206699,HS-grad,9,Divorced,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K -36,Private,66304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -70,Self-emp-inc,379819,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,10566,0,40,United-States,<=50K -21,Private,197918,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,278200,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,325802,Assoc-acdm,12,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,24,United-States,<=50K -26,Self-emp-not-inc,221626,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1579,20,United-States,<=50K -46,Self-emp-inc,188861,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,50,United-States,>50K -37,Private,189382,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -46,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,State-gov,261839,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,237868,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,5,United-States,<=50K -22,State-gov,186569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,United-States,<=50K -31,Private,131633,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,142856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -45,Local-gov,54038,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,42,United-States,<=50K -52,Self-emp-not-inc,128378,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,176683,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,168288,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,427474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -29,Private,169683,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,357233,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,10,United-States,<=50K -59,Private,193568,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,296999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -68,?,353524,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -57,?,85815,HS-grad,9,Divorced,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -39,Private,80479,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -43,Private,214781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,166416,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,23940,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -52,Private,142757,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,United-States,>50K -21,Private,198822,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -43,?,478972,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,33610,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Local-gov,236586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -57,Private,296152,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,594,0,10,United-States,<=50K -49,Private,259087,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,184806,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,58,United-States,<=50K -17,Private,151799,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,882849,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -25,Self-emp-inc,160261,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,35,Taiwan,<=50K -31,Private,170430,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,?,<=50K -22,Private,156933,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K -58,Local-gov,217802,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,45,United-States,>50K -28,Private,74784,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,?,221626,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,125279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K -30,Private,296538,9th,5,Divorced,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -58,Private,97562,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K -35,Self-emp-inc,187693,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K -70,Self-emp-inc,131699,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -55,Local-gov,104917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,179715,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,18,United-States,<=50K -76,Private,127016,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,178537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -60,Private,159049,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,Germany,>50K -51,Private,96586,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,Private,27049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Self-emp-not-inc,24504,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,373553,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,42,United-States,<=50K -33,Self-emp-not-inc,223046,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,220460,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K -40,Local-gov,370502,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,183683,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,176723,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -39,Local-gov,123983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -64,?,168340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K -60,Local-gov,313852,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -32,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,48,United-States,>50K -41,Private,394669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,40,United-States,<=50K -53,Private,110977,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -34,Private,737315,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -34,Private,298995,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,50,United-States,<=50K -67,Private,162009,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -47,Private,284871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -40,Local-gov,50563,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K -69,Private,203313,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,31023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -43,Local-gov,211860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,294547,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,48,United-States,<=50K -39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,Germany,<=50K -39,Private,204158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K -21,Private,323497,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -61,Private,193479,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -59,Private,32552,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K -64,Private,213391,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -21,Private,152540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,?,20877,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -32,Private,220690,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,33,United-States,<=50K -58,?,97634,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,163265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,?,659273,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,Trinadad&Tobago,<=50K -56,Private,117881,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,123053,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -50,Self-emp-inc,198400,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K -22,Private,194630,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -17,Private,197186,10th,6,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -60,Private,223911,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -77,Self-emp-inc,84979,Doctorate,16,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,40,United-States,>50K -46,Private,353824,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,253581,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,311931,5th-6th,3,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,El-Salvador,<=50K -38,Self-emp-not-inc,331374,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,34273,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,36,Canada,<=50K -19,Private,84250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,213225,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,45,England,>50K -30,Local-gov,210926,9th,5,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,Mexico,<=50K -20,Private,117606,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,210906,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -60,Private,250552,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-inc,201314,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,127573,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Self-emp-not-inc,184655,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -43,State-gov,135060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -40,Private,20109,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,84,United-States,<=50K -24,Private,197387,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -45,Private,233799,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -36,Self-emp-not-inc,84848,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -38,Self-emp-inc,206951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -37,Local-gov,333664,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,102142,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,State-gov,315449,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -30,Private,224462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,225124,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,97723,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,109133,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -20,Private,114874,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -61,Private,141745,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -22,Private,459463,12th,8,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K -27,Private,73587,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -37,Private,490871,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,United-States,<=50K -61,Private,187135,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,56,United-States,<=50K -35,Private,255702,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -42,Private,70037,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,34378,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3908,0,75,United-States,<=50K -52,Federal-gov,165998,Prof-school,15,Married-civ-spouse,Armed-Forces,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,221757,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Self-emp-not-inc,163108,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,212143,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -43,Private,188808,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -64,Federal-gov,301383,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K -22,Private,168997,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,99527,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,170544,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,40681,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,316027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Cuba,<=50K -40,?,299197,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,23,United-States,<=50K -40,Self-emp-not-inc,85668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,169905,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,275094,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,Mexico,>50K -43,Private,221550,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -51,Private,155574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,185957,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,193882,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,128516,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,262413,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,Italy,<=50K -39,Private,444219,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,45,United-States,<=50K -41,Private,171615,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -34,Local-gov,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -31,Private,103596,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -58,Private,219537,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Local-gov,259762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,10,United-States,<=50K -32,Private,418617,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,El-Salvador,<=50K -30,Private,287986,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,205066,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -72,?,75890,Some-college,10,Widowed,?,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K -36,Private,116138,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -24,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -36,Private,158363,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Federal-gov,109414,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1977,40,Philippines,>50K -77,Private,83601,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,203488,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,53513,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -19,Private,192162,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,185251,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,379412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,State-gov,219553,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -46,Private,118633,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -44,Private,323627,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K -43,Private,191429,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -39,Private,44041,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Male,0,0,60,United-States,<=50K -50,Private,137253,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,150057,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,107630,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,98587,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K -24,Private,116968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,192251,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,169846,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -50,Federal-gov,69345,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -33,Self-emp-not-inc,62932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,?,214542,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K -22,Local-gov,467759,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -55,?,123382,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,2001,40,United-States,<=50K -54,Private,59840,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,393673,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,178596,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -50,Self-emp-inc,82578,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,149576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,246739,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -22,Private,125010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,129305,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -66,Private,115880,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K -37,Self-emp-not-inc,86643,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,State-gov,196348,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -38,Private,34378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,213308,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,<=50K -41,State-gov,210094,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,64112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -28,State-gov,175409,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,137722,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,230054,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -20,?,238685,11th,7,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,325802,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Local-gov,392668,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -18,Private,98044,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,177907,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,182276,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -23,Private,209955,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,40295,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K -70,Self-emp-not-inc,37203,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,30,United-States,>50K -22,Private,250647,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,732569,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,192273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,177305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -26,Private,49092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -80,Local-gov,20101,HS-grad,9,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K -55,Private,349304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,200318,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -34,Self-emp-not-inc,288486,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,136824,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,96635,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -44,Private,160574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -44,Private,29762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,68,United-States,<=50K -43,Self-emp-not-inc,73883,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -45,Federal-gov,110884,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K -32,Private,303942,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -34,Private,110978,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Private,160594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,165115,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -34,?,353881,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3103,0,60,United-States,>50K -20,Private,258430,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -22,Private,105592,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,Iran,<=50K -24,Local-gov,52262,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,119793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -53,Private,120914,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,175262,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K -35,Private,185621,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,59496,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,182556,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -28,Private,110145,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,36032,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Federal-gov,450770,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,State-gov,204374,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,Poland,<=50K -31,Private,201156,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,55,United-States,>50K -42,Private,234508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,184178,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K -34,Private,167893,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,64,United-States,>50K -47,Federal-gov,303637,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -57,Self-emp-not-inc,87584,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -24,Local-gov,187397,Some-college,10,Never-married,Protective-serv,Unmarried,Other,Male,1151,0,40,United-States,<=50K -31,Private,98639,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Local-gov,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -46,Self-emp-not-inc,43348,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -21,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,243357,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,46028,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -34,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K -22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,193746,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -44,Self-emp-inc,120277,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -22,Private,86849,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,?,277390,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,>50K -29,Private,112754,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Local-gov,293535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -72,Self-emp-not-inc,258761,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,135796,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -51,Local-gov,153908,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,73746,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,452808,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,State-gov,469907,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1740,40,United-States,<=50K -22,Private,205970,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -59,Private,138370,10th,6,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -47,Private,237914,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,312528,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K -45,Private,137604,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,303867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -64,Private,180401,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,State-gov,55764,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,128876,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,160634,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,210714,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -36,State-gov,422275,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,419721,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Japan,<=50K -48,Private,216734,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,118551,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K -21,Private,34506,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,170299,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -21,?,113760,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,97723,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,50,United-States,>50K -38,Federal-gov,137953,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,532969,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -45,Private,228570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -32,Private,226267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,192779,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -50,Self-emp-not-inc,391016,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,?,257343,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,117166,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,136309,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,155150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,28061,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -24,Private,232328,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -42,Private,144056,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -23,?,264874,Assoc-voc,11,Never-married,?,Other-relative,White,Female,0,0,40,?,<=50K -57,Private,104996,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -22,Private,60331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -56,Private,100285,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,151580,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -54,Self-emp-not-inc,121761,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K -54,Private,96062,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -51,Private,169785,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -18,?,379070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,157845,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -58,Private,498267,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,113364,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -56,Self-emp-inc,70720,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K -25,Private,267284,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,78181,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -20,Private,435469,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -53,Private,242859,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Cuba,<=50K -20,Private,353696,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K -35,?,200426,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,<=50K -41,Private,197583,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -36,Private,129150,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -38,Private,423616,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,>50K -30,State-gov,184901,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,353213,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -56,Private,346033,9th,5,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,119421,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,42,United-States,<=50K -21,Private,57916,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -43,Local-gov,43998,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -26,Private,324854,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -44,State-gov,165108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Federal-gov,38948,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,153546,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,>50K -33,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,41,United-States,<=50K -28,Private,66777,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,3137,0,40,United-States,<=50K -42,Self-emp-not-inc,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,?,205256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2885,0,80,United-States,<=50K -33,Private,228696,1st-4th,2,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,2603,32,Mexico,<=50K -28,Private,47783,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,460356,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,30,Mexico,<=50K -23,State-gov,93076,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -18,Private,64253,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -20,Private,196758,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,57101,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,35429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K -44,Self-emp-not-inc,103111,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -28,Private,42734,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -55,Local-gov,28151,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -19,?,195282,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -70,?,116080,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -45,Federal-gov,60267,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -49,Private,558752,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -25,Private,192449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,111843,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,3325,0,40,United-States,<=50K -26,Self-emp-not-inc,201579,5th-6th,3,Never-married,Prof-specialty,Unmarried,White,Male,0,0,14,Mexico,<=50K -32,Self-emp-inc,113543,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,50122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,152109,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -20,Federal-gov,119156,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -31,Self-emp-not-inc,286282,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -28,State-gov,255254,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,37,United-States,<=50K -46,Private,174386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -42,Private,194710,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,?,190205,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -35,Private,151322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -38,Self-emp-not-inc,233571,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -18,?,78567,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -50,Private,128814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -40,Private,202508,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,48,?,>50K -41,Self-emp-not-inc,284086,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,291981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,112754,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -39,Private,82521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -29,Private,72338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,26,United-States,<=50K -46,Private,269284,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,185836,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,120204,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,102568,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -64,?,286732,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,131298,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,Private,189749,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,227113,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2457,40,United-States,<=50K -32,Private,154120,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -45,Private,171540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,167497,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K -29,Private,34796,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,192894,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Federal-gov,68985,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Federal-gov,163862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -35,Federal-gov,105527,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,187492,Bachelors,13,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -28,Private,137296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,252445,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,57067,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,45,United-States,<=50K -64,Self-emp-not-inc,388625,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K -69,?,320280,Some-college,10,Never-married,?,Not-in-family,White,Male,1848,0,1,United-States,<=50K -34,Private,195576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,448026,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,2907,0,30,United-States,<=50K -42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,71379,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -54,Federal-gov,230387,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -35,Private,193106,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -45,Private,243631,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -58,Self-emp-not-inc,165695,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -20,Private,161962,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -54,Private,159755,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -18,Private,148644,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -42,Private,46091,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,248254,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K -31,Private,1033222,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K -23,Private,161708,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Self-emp-not-inc,136986,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,347112,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Self-emp-not-inc,206520,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,190776,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,198078,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -24,Private,259865,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Private,149224,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,50,United-States,<=50K -23,Private,305423,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,379522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -29,Private,251694,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -52,Self-emp-not-inc,98642,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,India,>50K -67,Private,95113,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -41,Self-emp-not-inc,144002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -57,Private,169329,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,1887,40,Trinadad&Tobago,>50K -41,Self-emp-not-inc,251305,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,131662,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -29,Private,221233,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K -43,Private,152958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -55,Private,80445,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,233781,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K -29,Private,150717,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,120126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,162282,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K -52,Private,74275,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -60,?,386261,Bachelors,13,Married-spouse-absent,?,Unmarried,Black,Female,0,0,15,United-States,<=50K -25,Private,165817,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,213722,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -21,Private,116358,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -47,Federal-gov,239321,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -34,Private,181651,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,121846,7th-8th,4,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -43,Federal-gov,25005,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,12,United-States,<=50K -28,Local-gov,33662,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K -32,Private,283400,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Federal-gov,349230,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K -79,Private,333230,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,6,United-States,<=50K -67,Private,126849,10th,6,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -30,Private,100734,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,102723,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,216413,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -21,?,314645,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K -41,Local-gov,201435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,448026,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,274577,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Local-gov,241528,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,86483,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,260954,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,227823,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,70,United-States,<=50K -80,Self-emp-inc,120796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,419722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,3674,0,40,United-States,<=50K -22,State-gov,247319,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K -23,Private,444554,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -37,Private,188540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -60,Private,180418,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,33087,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -41,Self-emp-inc,146659,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Honduras,<=50K -38,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -63,?,170529,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K -39,Self-emp-inc,142149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K -52,Private,117674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,159623,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,197860,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Haiti,<=50K -33,Private,159322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Local-gov,399020,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -26,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,222637,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,Puerto-Rico,<=50K -25,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -18,Private,400616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,289653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -50,Federal-gov,36489,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -75,?,222789,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K -28,Private,143582,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K -41,Private,106627,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K -45,Private,256367,12th,8,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,271767,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -50,State-gov,201513,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,96483,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,8,United-States,<=50K -19,Private,229431,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,11,United-States,<=50K -51,Private,350131,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2339,40,United-States,<=50K -19,?,57329,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,Japan,<=50K -35,Private,309131,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,162651,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K -21,Private,296158,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -49,?,202874,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Columbia,<=50K -26,Private,154093,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,165977,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -45,Self-emp-not-inc,67716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,256813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -20,Private,510643,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,260761,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -32,?,115745,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,124591,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,165814,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,377798,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -24,Private,100961,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,284343,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Private,334984,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2231,40,United-States,>50K -33,Private,226267,7th-8th,4,Never-married,Sales,Not-in-family,White,Male,0,0,43,Mexico,<=50K -38,Self-emp-inc,188069,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,200471,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,26842,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2176,0,40,United-States,<=50K -49,Private,199763,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -55,Private,250149,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,State-gov,205482,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,<=50K -42,Private,184837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,40,United-States,>50K -17,Private,132187,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -35,Private,386726,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -56,Private,187355,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,98815,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -39,Private,103710,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -58,Self-emp-inc,181974,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,?,<=50K -27,Private,147340,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K -52,Federal-gov,123011,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,278130,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,139834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,116207,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -29,?,225654,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Federal-gov,122215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -22,Private,52262,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,31717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,174865,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,194905,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -27,State-gov,192355,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,?,182836,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -19,Private,389755,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -35,Private,206951,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Self-emp-not-inc,191283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,111499,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,417941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,?,35854,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,180607,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,179668,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -32,Private,141490,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -54,Private,144586,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -70,Private,237065,5th-6th,3,Widowed,Other-service,Other-relative,White,Female,2346,0,40,?,<=50K -51,Private,185490,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,125317,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -52,Private,177858,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,55,United-States,>50K -35,Private,413648,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,36,United-States,<=50K -35,Private,180419,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,108765,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,?,127388,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,67257,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -41,Private,174575,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K -26,Private,167350,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -24,Local-gov,176178,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K -38,Private,43712,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -52,Private,83984,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,191137,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,151801,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K -23,State-gov,173945,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,27,United-States,<=50K -47,Private,234994,7th-8th,4,Separated,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K -49,Private,129513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -31,Self-emp-not-inc,226696,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -47,Private,30457,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,249039,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,73585,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,202191,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -28,Private,190350,9th,5,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K -23,Private,347873,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,30,Vietnam,<=50K -38,Local-gov,223237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,179020,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K -24,State-gov,390867,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -57,?,274680,Preschool,1,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,199816,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,161097,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,26,United-States,<=50K -56,Self-emp-inc,165881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -50,Private,213290,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,36,United-States,>50K -32,Private,190511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,474568,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,>50K -20,Private,204596,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,158242,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,233980,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,32312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Local-gov,46401,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -17,?,250541,11th,7,Never-married,?,Own-child,Black,Male,0,0,8,United-States,<=50K -57,Self-emp-not-inc,20953,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2129,70,United-States,<=50K -22,Private,349212,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,199753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -30,Private,149726,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -48,Private,195437,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -32,Private,128002,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -58,Self-emp-not-inc,131991,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,72,United-States,<=50K -39,Private,245053,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -64,Private,110150,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,124330,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K -26,Federal-gov,52322,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,60,United-States,<=50K -55,Private,165881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,256274,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,228243,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -42,State-gov,333530,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -53,Private,251063,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,105010,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -49,Private,165152,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -42,Local-gov,100793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -49,Self-emp-not-inc,32825,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -58,Self-emp-not-inc,98361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,186993,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,183083,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,320451,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,45,Hong,>50K -48,Private,215895,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,213902,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -26,Private,414916,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,211596,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,381583,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -63,Private,127363,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,12,United-States,<=50K -48,Private,102102,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -42,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,96869,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,212304,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Private,224854,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,155509,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,32,Jamaica,<=50K -42,Private,360879,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,199326,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,235259,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,160261,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,64,?,<=50K -55,State-gov,200497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,356882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -34,Private,117963,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,State-gov,204425,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,164193,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,168837,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,523067,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,El-Salvador,<=50K -33,Local-gov,255058,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Male,0,2339,40,United-States,<=50K -33,Private,119176,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,208116,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,25,United-States,<=50K -50,Local-gov,24013,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -73,Self-emp-not-inc,233882,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,2457,40,Vietnam,<=50K -17,Private,123335,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,229051,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,35520,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -64,Federal-gov,113570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -34,State-gov,98995,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,283921,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,216129,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K -52,Private,163948,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -75,Private,124660,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -33,Private,127651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -40,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K -38,?,75024,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,201732,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -84,?,127184,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -20,Private,112387,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,262819,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Local-gov,157678,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2036,0,42,United-States,<=50K -49,Private,266150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,119570,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,314165,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,Columbia,<=50K -22,Private,180060,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -62,Private,205643,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -63,Private,106141,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,135617,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,217509,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Thailand,<=50K -61,Self-emp-not-inc,111563,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,>50K -47,Private,151826,10th,6,Divorced,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K -23,Local-gov,157331,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,88278,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -22,Private,293324,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,162572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -43,Private,56651,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,40,United-States,>50K -39,Private,99452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,99838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,?,<=50K -43,Private,143368,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,244589,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,27332,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,342164,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -43,Self-emp-not-inc,116666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,35,United-States,>50K -22,Private,283029,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,54,United-States,<=50K -41,Private,119266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -18,?,171748,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K -33,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -39,Self-emp-not-inc,140752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,252752,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,269455,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,145214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,155632,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -17,Private,186890,10th,6,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,234640,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,47,United-States,<=50K -50,Private,146429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,62793,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,310907,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -28,Private,115677,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -80,Private,173488,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,255474,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,31740,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -38,Self-emp-not-inc,152621,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -25,Private,178037,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,146460,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,186824,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -58,Self-emp-not-inc,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -62,Private,142769,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,217424,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K -54,Private,133403,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,233320,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,State-gov,293791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,37215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,135312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,287306,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,154882,Prof-school,15,Widowed,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -43,Private,290660,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -38,Private,22042,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -36,Private,141029,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,24694,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,557644,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,303440,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -34,Private,342709,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,145166,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -62,Private,166691,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,104196,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,202467,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K -48,Private,349986,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -39,Self-emp-not-inc,33001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,?,96867,5th-6th,3,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,111895,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -27,Private,183148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,115458,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,67234,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K -49,State-gov,269417,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,50,United-States,>50K -30,Private,155781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -46,Private,149949,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,294936,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -44,Self-emp-not-inc,96921,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,215211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,112847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,7298,0,32,United-States,>50K -61,Private,96660,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,34,United-States,>50K -50,Private,38795,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,248588,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,144182,Preschool,1,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -28,Private,142712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,57,United-States,>50K -31,Private,184306,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,1980,60,United-States,<=50K -19,?,141418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -54,Private,266598,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,292710,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,<=50K -41,Private,120277,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,144334,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,199227,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,Private,216208,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,348152,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -77,Local-gov,120408,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K -43,Private,300099,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,State-gov,162705,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K -29,Private,179008,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,186531,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,208391,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,32950,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,173927,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Other,Female,0,0,60,Jamaica,<=50K -23,Private,399449,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,123681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -50,Local-gov,166423,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -31,Local-gov,199368,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K -34,Self-emp-inc,23778,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Local-gov,326104,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -25,Private,203833,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,35,Haiti,<=50K -21,Federal-gov,181096,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,20,United-States,<=50K -33,Private,134886,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,99999,0,30,United-States,>50K -42,Private,188789,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -19,Private,87497,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,10,United-States,<=50K -49,Local-gov,226871,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -25,Private,210095,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Mexico,<=50K -56,Private,329059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,>50K -17,Private,110916,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -61,Private,95929,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,79443,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -61,State-gov,349434,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,?,198559,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -53,Self-emp-not-inc,152810,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,108320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -19,Private,132717,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,52262,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,State-gov,179869,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,43711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,175485,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,12,United-States,<=50K -27,Private,199118,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -23,Private,143003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,50,India,>50K -56,?,188166,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,120645,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K -28,Private,115579,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -22,Private,235829,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,357338,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,297246,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,9,United-States,<=50K -43,Local-gov,209544,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K -22,Private,32616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -51,Self-emp-inc,351278,Bachelors,13,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -56,Private,179641,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -70,Private,187292,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,40,United-States,>50K -34,Private,85374,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,110169,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,3,United-States,<=50K -22,?,129767,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -24,Private,82847,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,Portugal,>50K -38,Self-emp-not-inc,67317,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,376680,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -66,Private,102423,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,225135,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,180574,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,57233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,27415,11th,7,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -33,Private,179758,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -56,Private,154490,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,Federal-gov,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,178050,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -50,State-gov,297551,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K -40,State-gov,184018,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K -37,Local-gov,65291,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,413930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,299528,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K -35,Private,331831,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,164488,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,213383,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,142871,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,348960,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-not-inc,213279,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,460437,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,25932,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,393673,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,357943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,321764,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,155106,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,749636,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,214068,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -55,Federal-gov,54566,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,168216,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -49,Local-gov,126446,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -31,Self-emp-not-inc,156890,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,37672,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -49,Private,149218,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -56,Private,530099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,120857,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K -39,State-gov,171482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -50,State-gov,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,185673,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Federal-gov,214541,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,177134,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -53,Private,103931,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,212370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -40,Private,174395,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,161482,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Local-gov,153890,12th,8,Widowed,Exec-managerial,Not-in-family,White,Male,2009,0,44,United-States,<=50K -39,Self-emp-not-inc,251710,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,1721,15,United-States,<=50K -45,Private,319637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,201694,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Private,174788,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,327202,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,315303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K -48,Private,96798,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -59,Federal-gov,98984,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,171924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Canada,>50K -35,Private,187625,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -44,Private,90582,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,70034,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Portugal,<=50K -27,Private,200179,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Private,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -17,Self-emp-not-inc,103851,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,4,United-States,<=50K -35,Federal-gov,76845,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,296317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -41,Private,369781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,175778,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -67,Local-gov,330144,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,18,United-States,<=50K -21,Private,143062,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -42,Private,125461,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -22,?,379883,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,173476,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -50,Local-gov,30008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -50,Private,198362,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Local-gov,187034,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,232356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Private,182273,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,115932,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,194404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,179955,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,25,Outlying-US(Guam-USVI-etc),<=50K -39,Local-gov,124685,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -47,Private,190139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,109509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -84,?,163443,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -39,Private,176296,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K -55,Self-emp-not-inc,248841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -48,Self-emp-not-inc,104790,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -31,State-gov,263000,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -22,Private,99199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -17,Private,153021,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K -53,Private,263729,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,23813,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Private,120277,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Ireland,<=50K -39,Local-gov,164515,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,233933,10th,6,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,Private,152109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Private,125417,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K -27,Private,139209,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,342458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,169031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,82393,Some-college,10,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -45,Private,278151,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,201723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -55,Self-emp-not-inc,141807,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,361138,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -33,Private,405913,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Peru,>50K -41,Private,220531,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Private,198265,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,310655,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -63,Private,149756,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Private,263984,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K -19,?,45643,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -52,Self-emp-inc,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,229148,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -61,Private,35649,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K -46,Private,141221,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -41,Private,266047,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,196866,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -36,Private,184498,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,109766,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,State-gov,242122,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,178054,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K -38,Private,48779,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,184435,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,97743,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -40,Self-emp-inc,29520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -56,Self-emp-not-inc,169528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,20308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -40,Private,51290,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,264166,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,45,Columbia,<=50K -53,Self-emp-not-inc,311020,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,101020,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,187715,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -58,Local-gov,54947,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -53,Self-emp-not-inc,317313,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -25,?,210095,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,25,El-Salvador,<=50K -31,Self-emp-not-inc,162442,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -41,Private,206470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,<=50K -27,Private,212578,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -67,?,188903,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2414,0,40,United-States,<=50K -47,Private,46537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,225394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K -53,Private,146325,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,181091,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -19,Private,39756,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -56,Self-emp-inc,35723,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -36,Private,251730,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,79864,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -39,Private,191227,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K -22,Private,236684,Assoc-voc,11,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K -71,Private,235079,Preschool,1,Widowed,Craft-repair,Unmarried,Black,Male,0,0,10,United-States,<=50K -18,Private,73928,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -45,Private,158685,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,53285,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -39,Private,187847,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -26,Private,276967,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,97688,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -57,Private,64960,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,<=50K -25,Private,391192,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,221436,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Cuba,>50K -40,Private,125461,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K -30,Private,247444,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,<=50K -23,Private,160968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -41,Private,648223,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K -21,Private,283969,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K -50,Private,160724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -35,Private,150309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1887,40,United-States,>50K -21,Private,27049,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K -56,Self-emp-not-inc,140729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,312372,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K -55,Private,92847,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K -53,Private,113176,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,2597,0,40,United-States,<=50K -36,Private,150042,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,76860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,8,Philippines,<=50K -26,Private,162312,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -20,Private,85021,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,166509,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,99549,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,581128,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Self-emp-inc,164658,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -36,?,389850,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Male,0,0,50,United-States,<=50K -44,Local-gov,193425,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,40,United-States,>50K -79,Local-gov,84616,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,7,United-States,<=50K -60,Self-emp-not-inc,359988,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K -29,Private,186733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Local-gov,272780,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K -25,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K -25,Private,188119,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,236804,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,223558,HS-grad,9,Never-married,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -28,Local-gov,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,358886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -65,?,194920,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -19,Private,206399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -57,Local-gov,258641,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -20,Private,117210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -18,State-gov,342852,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,243858,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -30,Private,188146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -21,Private,100345,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K -49,Private,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,227986,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,266400,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K -18,Private,270544,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,46580,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,55390,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,68898,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,182302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,235195,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -34,Self-emp-not-inc,195891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -26,Private,216741,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,205950,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -30,Private,284395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,50707,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -70,Self-emp-not-inc,177199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,United-States,<=50K -33,Self-emp-inc,287372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,369522,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -39,Local-gov,177907,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -44,Self-emp-not-inc,86750,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,72,United-States,<=50K -20,?,376474,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -28,Private,163265,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,83375,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,352188,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,205036,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K -49,Private,117849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,?,140237,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,209384,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K -51,?,123429,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,32732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -45,Federal-gov,182470,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -37,Private,160120,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -21,State-gov,33423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,162994,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,294209,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -18,Self-emp-inc,357223,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -47,Private,359461,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,293475,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,?,266792,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K -32,Private,105650,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -34,State-gov,513100,Bachelors,13,Married-spouse-absent,Farming-fishing,Not-in-family,Black,Male,0,0,40,?,<=50K -26,Private,152855,HS-grad,9,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,Mexico,<=50K -38,Private,243872,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -39,Private,158956,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,276345,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,Private,175029,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -46,Private,273796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -49,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -86,Private,149912,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,162501,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,104996,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,130438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,227298,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,110200,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,?,214925,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,411238,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -28,Private,113987,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,472070,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,153254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -19,?,263224,11th,7,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K -19,Private,153019,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,135339,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,2105,0,40,Vietnam,<=50K -33,Private,112820,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,283037,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -64,Local-gov,78866,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,199590,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Mexico,>50K -23,Private,216811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -74,Self-emp-not-inc,206682,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,35,United-States,<=50K -61,Private,101701,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,20,United-States,<=50K -41,Private,242586,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,399088,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -49,Private,119182,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -51,Private,166461,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,5455,0,40,United-States,<=50K -42,Private,106698,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -28,Private,198813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,228254,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -23,Private,257621,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -55,Private,148773,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,177651,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,52776,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -35,Private,36989,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,184556,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,30424,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K -23,Private,85139,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,149726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K -47,Private,95661,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K -23,Private,83315,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K -33,Private,441949,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -45,Private,131309,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,32,United-States,<=50K -27,Private,118799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,181353,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,197997,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,323627,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K -42,Private,66460,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Self-emp-not-inc,105997,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -45,State-gov,213646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -37,Private,182675,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -35,?,264758,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,40,Haiti,<=50K -50,Private,156877,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -41,Self-emp-not-inc,150533,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,Private,143062,Bachelors,13,Never-married,Other-service,Own-child,White,Female,2463,0,30,United-States,<=50K -43,Self-emp-inc,602513,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,Local-gov,251890,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K -45,Private,196584,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,40,United-States,>50K -59,Private,424468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -25,Private,209227,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K -48,Private,247895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -48,Private,95661,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -22,Private,173004,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,1,United-States,<=50K -48,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,129528,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Local-gov,244856,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,272165,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,478380,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -60,State-gov,136939,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,226500,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,341797,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,225165,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -64,Private,188659,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -58,Local-gov,147428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,115244,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -40,Private,136986,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,52,United-States,>50K -40,Federal-gov,90737,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -33,Private,520033,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,305597,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,?,224361,9th,5,Divorced,?,Unmarried,White,Female,0,0,5,Cuba,<=50K -25,Private,264300,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -35,Private,282461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,301251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -40,Self-emp-not-inc,55363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -27,Private,175262,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,186666,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,184005,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,45,United-States,<=50K -45,Private,174794,Some-college,10,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,29,United-States,<=50K -27,Self-emp-not-inc,211259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -23,Private,565313,Some-college,10,Never-married,Other-service,Own-child,Black,Male,2202,0,80,United-States,<=50K -24,?,311949,HS-grad,9,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,45,?,<=50K -35,Private,23892,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -18,Private,294253,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -44,Private,198270,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K -37,Private,356231,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,2129,65,United-States,<=50K -61,Private,56009,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,115258,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,235182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Private,201599,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,239322,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,190941,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,123430,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Mexico,<=50K -23,Private,47541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,67006,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,173316,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,229803,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,49,Haiti,<=50K -35,Private,270059,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -38,Private,169469,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K -30,Private,234919,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,El-Salvador,<=50K -56,Local-gov,38573,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -47,Private,138069,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,?,427422,Some-college,10,Married-civ-spouse,?,Husband,White,Male,2414,0,16,United-States,<=50K -47,Private,181363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,313045,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,211154,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,133278,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Federal-gov,228696,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Mexico,<=50K -77,Private,133728,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -18,?,343161,11th,7,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -66,Local-gov,189834,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,96178,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Local-gov,132563,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Female,0,1726,40,United-States,<=50K -43,Private,257028,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K -51,State-gov,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,245196,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,238534,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,Puerto-Rico,<=50K -61,Private,380462,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -43,State-gov,157999,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -51,State-gov,196504,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K -54,Private,145714,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,25,United-States,>50K -50,Private,72351,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,213421,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Self-emp-not-inc,71269,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -70,?,207627,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,24,United-States,<=50K -31,Private,356689,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,52242,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -47,Self-emp-not-inc,229394,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -47,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -20,Private,117618,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -21,?,145964,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,293091,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -33,?,202498,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -23,Private,218782,10th,6,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,40,United-States,<=50K -41,Private,118619,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -46,Private,90042,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,266439,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,138416,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,Mexico,<=50K -31,Private,51471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -43,Private,245937,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -47,Private,67716,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,426001,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K -49,Private,216734,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,227858,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -54,Private,183668,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,205712,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,<=50K -33,Private,433375,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -40,Private,151365,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,108023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,?,180362,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,161508,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,160981,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K -29,Private,125791,Assoc-acdm,12,Never-married,Exec-managerial,Other-relative,White,Female,0,0,38,United-States,<=50K -44,Private,310255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -30,Local-gov,229716,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,201663,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,300687,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,188331,11th,7,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,State-gov,106444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,38,United-States,>50K -60,Self-emp-inc,123218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,154537,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K -20,Private,32732,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,?,233136,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -48,Private,176140,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,29814,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,164866,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K -28,?,55950,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Germany,<=50K -30,Private,163867,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,180190,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,46,United-States,<=50K -19,Self-emp-not-inc,206599,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K -37,Self-emp-inc,183800,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -18,Private,173255,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,1055,0,25,United-States,<=50K -33,Private,219553,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,282643,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -56,?,124319,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -39,Private,182189,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,65,United-States,>50K -48,Private,248059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K -30,Private,176871,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,163072,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,34,United-States,<=50K -33,Private,58305,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,376548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,262425,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-inc,42959,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -22,Private,228752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,139514,Preschool,1,Married-civ-spouse,Machine-op-inspct,Other-relative,Black,Male,0,0,75,Dominican-Republic,<=50K -33,Private,45796,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,?,287681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -55,Local-gov,84564,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -48,Self-emp-not-inc,100931,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,238433,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,180765,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -19,Private,181572,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,118921,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,60,United-States,<=50K -24,Private,41838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -44,Self-emp-not-inc,254303,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,226956,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -28,Local-gov,202558,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,153918,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,190786,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,116502,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -45,Self-emp-not-inc,176814,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -35,Private,114765,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K -35,Self-emp-not-inc,114366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,274964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -21,Private,185948,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -55,Private,35551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,68358,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -69,Private,41419,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -51,Private,335997,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,55,United-States,>50K -41,Local-gov,224799,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -41,Private,139907,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -68,?,180082,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,23,United-States,<=50K -29,Private,256764,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K -18,Private,45316,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -49,Local-gov,204377,11th,7,Divorced,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K -33,State-gov,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,212588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,?,162041,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -22,Private,113588,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,1741,30,United-States,<=50K -33,Private,227026,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Nicaragua,<=50K -73,Private,109651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,24721,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -18,Private,343059,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,181485,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K -18,Private,477083,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,?,166855,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -17,Private,19752,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K -27,Local-gov,163320,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,193132,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -21,Private,145119,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -32,Private,156192,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,152572,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -46,Private,157857,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -29,Private,165737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,1,Japan,<=50K -29,Private,131088,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -29,Federal-gov,229300,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -60,Private,495366,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -33,Local-gov,262042,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,1138,40,United-States,<=50K -57,Private,201112,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,179735,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -54,State-gov,137065,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -55,Private,172666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,152102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -59,Local-gov,212600,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -48,Private,112906,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -26,Private,125680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,Japan,<=50K -42,Private,141558,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,Self-emp-not-inc,377798,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,42706,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,176410,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -56,Self-emp-not-inc,144380,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -43,Federal-gov,192712,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Local-gov,175526,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,473547,10th,6,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Federal-gov,227597,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,98656,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,216479,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,84409,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Federal-gov,38973,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,341943,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,187999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,307640,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Federal-gov,95806,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -53,Private,46155,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,209629,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,60722,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,310773,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K -46,Private,269045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -46,Private,132919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K -31,Private,176969,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -19,Private,73257,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,Germany,<=50K -50,Private,158680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,155972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -21,Private,24896,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -46,Self-emp-not-inc,103538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -30,Private,381153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,142675,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,105803,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,121718,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -31,?,259120,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,<=50K -35,Private,388252,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,140664,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,463601,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,32825,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,141877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,200997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -23,State-gov,186634,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,16,United-States,<=50K -51,Private,457357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,115458,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,273828,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -55,Private,305759,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -32,Private,130040,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,60722,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -29,Private,161615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,?,431861,10th,6,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,278021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,183013,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,227943,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,222005,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -53,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -49,Private,105449,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Male,0,0,25,United-States,<=50K -19,Private,84610,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -42,Self-emp-not-inc,177937,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,Poland,<=50K -34,Private,248584,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -43,Local-gov,196308,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -34,Private,98101,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,177543,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -75,?,27663,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,101618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,149507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -55,Private,206487,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,177905,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,60981,Some-college,10,Never-married,Sales,Own-child,White,Female,2176,0,35,United-States,<=50K -30,Private,165686,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,?,296485,Assoc-voc,11,Separated,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -19,Private,320014,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,381153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,313321,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,113732,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,625,40,United-States,<=50K -34,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -72,Private,132753,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -38,Private,46706,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -29,Private,231554,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K -45,Private,67716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,10520,0,48,United-States,>50K -29,Private,40295,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,51158,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,7298,0,36,United-States,>50K -42,Private,248356,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,278736,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,153885,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,45,United-States,<=50K -18,Private,436163,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -40,Self-emp-not-inc,198953,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,2,United-States,<=50K -54,Private,343333,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,>50K -46,Private,171807,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,142444,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,>50K -39,Private,202662,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,127914,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -50,Self-emp-not-inc,68898,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K -27,Private,271714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -28,Private,373698,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,<=50K -40,Private,187294,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,374116,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,36,United-States,<=50K -30,Private,426017,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -18,Private,161245,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -22,State-gov,311512,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,15,United-States,<=50K -68,Self-emp-not-inc,116903,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2149,40,United-States,<=50K -71,?,94314,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,1173,0,18,United-States,<=50K -49,Federal-gov,61885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,Private,156266,11th,7,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -32,Private,29312,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,244803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -18,Private,163787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,350550,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -57,Self-emp-not-inc,165922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,30497,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,296897,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,267736,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -18,Private,131180,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K -23,Private,355856,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -59,Self-emp-not-inc,201263,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K -31,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -49,Private,169711,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K -43,Private,186188,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,168569,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,183342,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -54,Private,178839,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,England,>50K -55,Private,150507,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,191503,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,227529,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,191437,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,241802,HS-grad,9,Married-civ-spouse,Other-service,Wife,Other,Female,0,0,40,United-States,<=50K -29,Local-gov,400074,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,245842,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,Mexico,<=50K -53,Self-emp-inc,167914,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K -61,State-gov,124971,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -43,Self-emp-not-inc,175943,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,14,United-States,<=50K -25,Private,225865,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -54,Local-gov,220054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -30,Local-gov,131568,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,160662,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -32,Private,117369,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -20,Local-gov,271354,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,181132,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,>50K -58,Private,234213,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,48,United-States,>50K -37,Self-emp-not-inc,245372,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,15,United-States,<=50K -60,Self-emp-not-inc,525878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,171351,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -48,Private,498328,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,90980,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -44,Self-emp-not-inc,83812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -70,Private,405362,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -90,?,175444,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -22,Self-emp-not-inc,249046,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -37,Private,126675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,<=50K -56,Private,220187,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -39,Self-emp-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -80,Private,138050,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K -18,Private,42857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,258832,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,10,Philippines,<=50K -48,State-gov,78529,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,?,390608,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -70,?,172652,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -47,Private,105495,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -33,Private,235124,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -25,Private,194813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,215423,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K -33,Local-gov,162623,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,110732,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -45,Private,223999,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,1848,40,United-States,>50K -35,Self-emp-inc,333636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,75,United-States,<=50K -46,Private,173461,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -40,?,273425,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -41,Private,233955,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -23,Private,132220,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,280146,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,198069,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -22,Private,221533,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -64,?,211360,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Federal-gov,91716,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,51961,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,55,Philippines,<=50K -27,Private,188576,Bachelors,13,Separated,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -26,Private,339952,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,170800,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -32,Local-gov,177566,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,50,Germany,<=50K -49,Self-emp-inc,201498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,222247,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -40,Private,206049,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,163237,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -51,Local-gov,134808,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,112093,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,179579,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -37,Private,179481,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Private,152529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,216948,10th,6,Separated,Sales,Other-relative,Other,Male,0,0,40,Cuba,<=50K -47,Private,165517,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -20,Private,173095,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,4,United-States,<=50K -22,Private,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -64,Local-gov,199298,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,45,?,<=50K -45,Federal-gov,88564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -57,Private,265099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,365009,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,109969,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,360879,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K -35,Self-emp-not-inc,77146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,45,United-States,<=50K -19,Private,144750,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K -52,Private,89041,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,State-gov,120173,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,32587,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -49,State-gov,183710,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,453983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K -64,?,223075,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -55,Private,130957,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,212980,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Private,210064,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,113176,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,218490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,El-Salvador,>50K -41,Private,160893,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -42,Private,63596,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Local-gov,233825,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -54,Private,151580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,France,>50K -49,Self-emp-not-inc,77404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,?,>50K -51,Private,108914,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,161819,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -67,Self-emp-not-inc,132626,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -37,Private,186035,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -22,?,236330,Some-college,10,Never-married,?,Own-child,Black,Male,0,1721,20,United-States,<=50K -40,Private,141245,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -31,Private,137978,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,261207,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,>50K -51,Private,220019,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,24244,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,206707,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,510072,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -69,State-gov,203072,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,Private,212800,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,92865,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,142725,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,356824,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,199266,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -42,Private,169628,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K -49,Local-gov,175958,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K -36,?,342480,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,168827,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K -43,Private,208613,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,99999,0,40,United-States,>50K -30,Private,113433,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Private,106316,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,<=50K -38,Private,273640,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,180497,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,162432,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Federal-gov,314007,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,111169,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,State-gov,37314,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,161532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -40,Private,33795,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,68684,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,481060,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Local-gov,174491,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,220901,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -44,Local-gov,143104,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K -30,Private,95923,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -44,Private,173682,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,107960,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K -39,Private,109351,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,212954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -20,Private,148509,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,393965,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -32,Private,46691,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,165798,5th-6th,3,Divorced,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -29,Self-emp-inc,87745,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,316672,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -21,Private,118023,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -24,Private,139989,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Private,104052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -51,Self-emp-not-inc,165001,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,25236,0,50,United-States,>50K -51,Self-emp-inc,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,58,United-States,>50K -30,Private,183284,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,60726,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,6849,0,50,United-States,<=50K -32,Private,195891,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,49469,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,179668,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K -42,Private,364832,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,744929,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,266070,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,State-gov,203279,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -29,Self-emp-not-inc,164607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,211115,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Local-gov,188772,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,72793,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -39,Self-emp-not-inc,147850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,193285,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,5013,0,40,United-States,<=50K -55,Private,143266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,>50K -45,Private,382242,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,?,<=50K -27,Private,199314,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Poland,<=50K -47,Local-gov,39986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,316820,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -90,Private,227796,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,6097,0,45,United-States,>50K -18,Private,187722,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,57534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,218068,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,23,United-States,<=50K -59,Private,121912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Self-emp-not-inc,289116,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -53,Private,290290,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,50,United-States,<=50K -56,Private,275236,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,173864,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,2290,0,45,United-States,<=50K -28,Local-gov,136643,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,261725,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -40,State-gov,13492,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -32,Private,204742,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,114969,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,243203,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -47,Private,145290,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,169460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -53,Local-gov,86600,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,278391,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,50,United-States,<=50K -34,Private,87218,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -29,Private,132675,11th,7,Separated,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,270693,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,3674,0,30,United-States,<=50K -33,Private,192644,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,90,United-States,>50K -26,Local-gov,27834,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,122215,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Local-gov,282461,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -35,Private,91839,Bachelors,13,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,7688,0,20,United-States,>50K -18,Private,170183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,181099,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,361494,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -58,?,183869,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3411,0,80,United-States,<=50K -37,Private,215419,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -23,Federal-gov,244480,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -32,Private,129020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,?,158762,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,206051,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,189674,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,34383,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -46,Private,195727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,150528,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,114483,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -33,Private,194901,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,152629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,113364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Local-gov,208528,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -69,Self-emp-not-inc,30951,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,246595,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,70,United-States,<=50K -62,Private,84756,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,199689,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -42,Self-emp-inc,557349,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -56,Private,219762,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -43,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -25,Private,90752,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -44,Private,335248,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,284907,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,85018,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,239390,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -23,State-gov,191165,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,15,United-States,<=50K -79,Private,124744,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,20,United-States,<=50K -33,Private,264936,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -50,?,146015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -19,Private,327397,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,118729,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -48,Private,182566,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -60,?,290593,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,33725,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,Private,459192,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -50,Private,63000,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -51,Private,282744,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K -55,Private,306164,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,130125,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,1055,0,20,United-States,<=50K -24,?,95862,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,171409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -87,?,90338,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -48,Private,41411,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,275093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K -74,Private,99183,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,9,United-States,<=50K -21,?,278391,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -25,Private,108658,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Self-emp-not-inc,33798,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,136448,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -21,Local-gov,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,251990,HS-grad,9,Separated,Adm-clerical,Not-in-family,Other,Male,0,0,37,United-States,<=50K -24,Private,53942,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,243660,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,152328,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,187513,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,263925,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,60668,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -41,Private,347653,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -51,Private,82578,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Canada,>50K -39,Private,144638,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -19,?,369527,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -47,Local-gov,377401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,224640,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -31,State-gov,116677,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,200117,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,264738,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,42,Germany,<=50K -33,Private,236396,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -25,Local-gov,278404,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,157617,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,?,<=50K -27,Private,312485,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -39,?,180868,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,322691,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Private,117728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -53,Private,104501,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -67,Private,123393,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,340880,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Philippines,>50K -34,Local-gov,226443,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Private,303510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,?,341631,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K -41,Private,239833,HS-grad,9,Married-spouse-absent,Transport-moving,Unmarried,Black,Male,0,0,50,United-States,<=50K -41,Private,92775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -35,Private,232036,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,261207,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,Cuba,<=50K -26,Private,161007,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,122999,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,176240,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Private,35224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,365907,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,30619,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Private,109912,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K -34,Private,268051,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,Black,Female,0,0,25,Haiti,<=50K -36,Local-gov,241962,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,155664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,70,United-States,>50K -30,Private,207937,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K -53,Private,200190,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -70,Private,298470,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -59,?,93655,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,141583,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -69,?,117525,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,1,United-States,<=50K -49,Private,188694,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -26,State-gov,291586,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -32,State-gov,131588,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,20,United-States,<=50K -69,?,323016,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K -42,Private,191342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -40,Private,254167,10th,6,Separated,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -40,Private,130760,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -54,Self-emp-not-inc,386773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,262579,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -47,Local-gov,172246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -36,Private,153078,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Hong,>50K -36,Private,93225,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,77373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,217602,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,252708,12th,8,Never-married,Sales,Other-relative,White,Female,0,0,40,Mexico,<=50K -24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,218215,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,337908,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -31,?,170513,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K -23,State-gov,26842,Assoc-voc,11,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -26,Private,202203,5th-6th,3,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -25,Private,101684,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,324231,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,State-gov,167281,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,171351,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,209292,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,32,Dominican-Republic,<=50K -56,Private,177271,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,241857,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K -34,Self-emp-not-inc,169186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,183800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Local-gov,96190,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,141584,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Private,259463,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,101597,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K -47,Private,454989,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -28,Private,165218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -22,Private,192017,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,292883,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,73839,11th,7,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,210444,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,199416,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,?,192321,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,152148,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,?,130832,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,10,United-States,<=50K -24,Private,122348,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,300851,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,United-States,<=50K -28,Private,189346,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,200641,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Mexico,<=50K -33,Private,326104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Self-emp-inc,225442,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,425502,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,?,174274,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,80,United-States,<=50K -61,?,160625,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,15,United-States,>50K -33,Private,207561,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,238959,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,154297,10th,6,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,38611,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,23,United-States,<=50K -29,Local-gov,132412,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,1085515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -24,Private,112009,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -55,Private,145214,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,4650,0,20,United-States,<=50K -36,Private,94565,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,168981,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -39,Private,187089,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,346754,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -55,Private,200939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -46,Private,55720,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Self-emp-inc,114758,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -29,Local-gov,152744,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,1506,0,40,United-States,<=50K -44,Self-emp-inc,327573,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,159715,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,10566,0,40,United-States,<=50K -25,Private,374918,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,188278,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -35,Self-emp-inc,200352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -24,Federal-gov,290625,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,41,United-States,<=50K -50,Self-emp-not-inc,71609,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -22,Self-emp-not-inc,269474,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,135527,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,205704,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,68001,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,282063,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,285294,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -59,Private,153484,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,106541,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -57,Private,140426,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,Germany,>50K -40,Private,277647,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Private,105592,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -80,Self-emp-inc,164909,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,54,United-States,>50K -46,Self-emp-not-inc,102869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,82393,9th,5,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -33,Private,348152,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,166461,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -44,Private,83237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -61,Self-emp-not-inc,45795,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K -31,State-gov,110714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -50,Self-emp-not-inc,43705,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,?,228686,Some-college,10,Divorced,?,Own-child,White,Male,0,1602,25,United-States,<=50K -37,Self-emp-not-inc,255503,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -24,Private,537222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,103925,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,68,United-States,<=50K -17,Private,270942,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K -30,Private,204374,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1741,48,United-States,<=50K -21,Private,183789,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,352768,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Federal-gov,128059,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,327902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,98436,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,48855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -34,Self-emp-inc,337995,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,15020,0,50,United-States,>50K -49,Self-emp-inc,106634,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,27828,0,35,United-States,>50K -25,Private,394503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,130143,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -17,Private,25051,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -19,Private,574271,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -20,?,149478,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K -33,Private,295591,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -57,Self-emp-inc,105582,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K -51,Private,289436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Private,104223,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -64,Private,271094,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Private,57852,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -32,Local-gov,43959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-not-inc,26857,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,35,United-States,<=50K -48,Private,224087,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,204698,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -41,Private,185057,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Local-gov,180123,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -76,Self-emp-inc,120796,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,35985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,107248,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,154165,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,307133,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K -34,Private,188900,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,314310,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -69,Self-emp-not-inc,76968,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -46,Private,99835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -62,?,103575,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K -37,Private,226947,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,34987,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,53,United-States,<=50K -20,Private,74631,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -28,?,169631,Assoc-acdm,12,Married-AF-spouse,?,Wife,White,Female,0,0,3,United-States,<=50K -23,Private,231866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K -47,Private,202395,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,173923,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -35,Private,48779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,154779,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,40,United-States,<=50K -42,Private,76487,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -77,Self-emp-not-inc,176690,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,40,England,<=50K -52,Local-gov,48413,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,83413,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -47,Private,115813,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K -32,Private,372317,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,23,Mexico,<=50K -31,Private,253354,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,63437,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Ireland,<=50K -19,Private,214678,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,173208,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -39,Private,293291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -49,Self-emp-inc,158685,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2377,40,United-States,>50K -38,Private,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,203776,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,231230,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -54,Private,279129,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,215712,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,State-gov,43475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,351871,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -41,Private,48087,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -34,Private,157886,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,State-gov,50567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -32,State-gov,199227,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,254351,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -30,Local-gov,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,33,United-States,>50K -24,Local-gov,115222,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -54,Federal-gov,28683,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,41,United-States,>50K -61,Self-emp-not-inc,315977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,107793,HS-grad,9,Divorced,Other-service,Own-child,White,Male,2174,0,40,United-States,<=50K -51,Private,173987,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,226922,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,2907,0,43,United-States,<=50K -42,Private,196158,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,8614,0,52,United-States,>50K -45,Private,189225,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,369667,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,?,102130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,163324,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -62,Private,116812,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,226902,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,182614,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,Poland,<=50K -40,Self-emp-not-inc,93793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -72,Private,171181,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,2329,0,20,United-States,<=50K -61,Private,293899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,35824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -23,Private,220993,HS-grad,9,Married-civ-spouse,Sales,Not-in-family,Black,Male,0,0,60,United-States,<=50K -40,Private,289403,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -39,Self-emp-not-inc,122852,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -27,Private,208725,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -34,Private,191856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,40,United-States,>50K -29,Self-emp-inc,260729,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,1977,25,United-States,>50K -61,Private,202952,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K -22,Private,74631,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,13,United-States,<=50K -39,State-gov,235379,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,199118,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,Nicaragua,<=50K -43,Private,212847,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,213887,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -26,Private,206199,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,240358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K -38,Self-emp-inc,187411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,93283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,78261,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,198660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,42900,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,Private,200316,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,292536,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,156266,9th,5,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -31,Private,111883,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,361280,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -47,Self-emp-inc,239321,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-not-inc,162576,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,99,United-States,<=50K -46,Local-gov,99971,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -45,Private,262678,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,279041,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,10,United-States,<=50K -32,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,>50K -56,Private,235826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -31,Private,114937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,143582,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K -39,Private,154897,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -25,Private,191921,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -32,Local-gov,113838,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,<=50K -18,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K -35,Private,338611,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,53878,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,208067,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -53,Private,99476,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Private,197344,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,233280,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,37,United-States,<=50K -41,Private,223934,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -26,Private,180246,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -37,State-gov,173780,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K -30,Private,197947,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -17,Private,35603,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,149210,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K -41,Private,240124,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -74,Self-emp-not-inc,199136,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,15831,0,8,Germany,>50K -37,Private,214738,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,224474,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,152810,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,Germany,<=50K -52,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -53,State-gov,227392,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -58,Self-emp-not-inc,193720,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,20,United-States,<=50K -62,Private,161802,1st-4th,2,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,30,United-States,<=50K -40,Private,272240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,390856,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -34,Private,294064,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,<=50K -22,?,165065,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Italy,<=50K -17,Private,142457,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -28,State-gov,239130,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,143589,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -82,Self-emp-inc,130329,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,178244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,247445,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,198216,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,189759,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K -27,Private,146760,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -69,Private,541737,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2050,0,24,United-States,<=50K -35,Private,140915,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,1590,40,South,<=50K -56,Private,179625,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -25,Private,323229,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,340880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -31,Private,106753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -24,Private,29302,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K -38,Private,106838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,123157,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,38,United-States,<=50K -18,?,36348,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K -31,Private,209101,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -61,Private,182163,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -25,Local-gov,198813,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -30,Private,159888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -22,Local-gov,244408,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -19,Private,318822,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,170174,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,424340,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -44,Local-gov,354230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,?,152875,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -39,Private,185084,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -54,Self-emp-not-inc,154785,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,144949,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -44,Private,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -49,Private,314773,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K -23,Private,53245,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,?,113234,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,113843,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -37,Self-emp-not-inc,187411,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K -44,State-gov,33658,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -35,Private,162601,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Private,142723,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -49,Private,368355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -23,Private,145964,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,197997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,69235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -38,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,40,United-States,<=50K -24,?,350917,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Private,180383,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -60,Self-emp-not-inc,220342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -57,Private,206206,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,150755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,Canada,>50K -35,Private,194490,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,172714,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,159732,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -40,?,95049,Assoc-voc,11,Separated,?,Own-child,White,Female,0,0,40,?,<=50K -64,Private,77884,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -67,Self-emp-not-inc,124470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -62,Local-gov,242341,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -37,State-gov,74163,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,103323,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,115932,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Ireland,>50K -23,Private,160951,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,2597,0,40,United-States,<=50K -27,Private,78529,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,15,United-States,<=50K -63,?,203821,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,339324,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,31269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,177562,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,3781,0,35,United-States,<=50K -19,State-gov,61710,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -20,Private,308239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -32,Private,130304,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,48,United-States,<=50K -62,State-gov,160062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -31,Private,172865,5th-6th,3,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,Mexico,<=50K -26,Federal-gov,218782,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,<=50K -36,Private,137314,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,192381,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,175847,5th-6th,3,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,Mexico,>50K -40,Private,110028,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,169112,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -39,Private,115418,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2174,0,45,United-States,<=50K -27,Private,294931,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Germany,<=50K -17,?,181337,10th,6,Never-married,?,Own-child,Other,Female,0,0,20,United-States,<=50K -69,Private,197080,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,8,United-States,<=50K -66,Self-emp-not-inc,174788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -82,Self-emp-not-inc,71438,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,229636,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2042,40,Mexico,<=50K -52,Private,145409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,Canada,>50K -50,Self-emp-not-inc,100109,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K -34,Private,378272,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,162343,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -36,Private,131192,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -42,Private,89226,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,40,Greece,>50K -53,Private,158993,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,25429,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -19,Private,405526,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,193864,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,183668,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -23,State-gov,96748,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -34,Private,172928,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -30,Private,430283,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K -42,Private,147099,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -46,Private,336984,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -41,Private,122381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -31,Private,137076,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,344592,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -45,?,236612,11th,7,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Private,44116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -78,?,135839,HS-grad,9,Widowed,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K -19,Private,164395,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -42,Private,165916,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -41,?,193537,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,10,Dominican-Republic,<=50K -33,Private,285131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,162002,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -19,State-gov,261422,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,260617,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,45093,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -27,Private,193807,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -24,Private,85088,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1762,32,United-States,<=50K -37,Private,140854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,105817,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,246891,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,81605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,385177,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K -28,Private,132686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -43,Private,124436,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -35,Private,113397,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Japan,<=50K -62,Self-emp-not-inc,123170,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -47,Private,173938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K -19,Private,466458,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,210464,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,159726,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,107306,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K -40,Self-emp-not-inc,209040,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,109857,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,187329,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,129761,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,294919,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,85787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,136986,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -28,Private,150296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,<=50K -38,Private,234807,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -61,Self-emp-inc,156542,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Private,249935,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K -18,Private,150817,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,301835,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,175622,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,253006,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,84119,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -52,Private,127749,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,60722,Some-college,10,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,>50K -44,Self-emp-inc,229466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,State-gov,230224,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,210198,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -42,Self-emp-inc,161532,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,<=50K -21,Private,121407,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K -38,Private,212252,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -40,Private,221172,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -25,Private,184303,Some-college,10,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,El-Salvador,<=50K -42,Private,384508,11th,7,Divorced,Sales,Unmarried,White,Male,1506,0,50,Mexico,<=50K -46,Private,111410,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Private,152652,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -26,Local-gov,213451,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,10,Jamaica,<=50K -61,Self-emp-not-inc,186000,Assoc-voc,11,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,Canada,<=50K -23,Private,234108,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,99127,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,184018,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,50,United-States,<=50K -50,Private,279337,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -19,?,497414,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,35,Mexico,<=50K -23,Private,175183,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,?,270460,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,230503,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -41,State-gov,34895,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K -46,Private,141483,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,30101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Self-emp-not-inc,132320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,226902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -20,Private,105479,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -28,Private,355259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -43,Private,88233,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,203263,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -23,?,263899,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,12,England,<=50K -29,Private,203797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -44,Local-gov,433705,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -68,?,407338,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,152629,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -51,Private,160724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,South,<=50K -41,Private,192602,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,State-gov,35633,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,192894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,179013,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,196193,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -58,Local-gov,158357,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,766115,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K -34,Private,211948,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K -21,Private,311376,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,98900,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,300528,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,237720,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,255503,11th,7,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -36,Private,345310,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -58,Private,238438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -31,Private,99844,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -39,Self-emp-not-inc,174330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,183892,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,8614,0,45,United-States,>50K -61,Self-emp-not-inc,127198,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -28,Private,370509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -79,?,163140,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -55,Private,174260,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,44392,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,226196,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,240467,Masters,14,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -35,Private,195081,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,State-gov,106812,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -50,Private,33931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,160398,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,115815,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -34,?,164309,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -17,Private,168807,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,205950,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,46990,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K -43,Local-gov,201764,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,26451,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -50,Private,38540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -67,?,222362,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -48,Local-gov,121179,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K -49,Local-gov,343231,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -34,Self-emp-not-inc,192900,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Federal-gov,192771,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Local-gov,227386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,141876,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K -35,Local-gov,226311,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -41,Private,112507,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,128346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,203776,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -36,?,187203,Assoc-voc,11,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K -25,Private,288185,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -65,Private,89681,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -25,Private,306666,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,45,United-States,<=50K -49,Private,459556,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,<=50K -22,Private,97212,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -39,Private,289890,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,126173,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,137678,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Local-gov,296253,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,60,United-States,>50K -36,Self-emp-inc,196554,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -58,Private,183870,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,54190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -58,Private,100303,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -26,Private,187577,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -51,Private,163052,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -35,Private,143058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -53,Local-gov,233734,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -50,Self-emp-inc,160107,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -26,Private,391349,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,Self-emp-not-inc,328051,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -58,Private,142076,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,39,United-States,>50K -28,Private,30912,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,337629,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,?,>50K -18,?,269373,12th,8,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,209629,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,79923,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -48,Federal-gov,156410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K -29,Private,112776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -40,Private,171305,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K -43,State-gov,129298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,190650,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -73,Local-gov,222702,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,5,United-States,<=50K -33,Private,110592,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,126829,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,State-gov,202011,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,368561,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,175759,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,120450,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,83879,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,367819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,124356,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,State-gov,122086,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,413227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,Private,176580,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -36,Private,114765,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Private,217161,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,14,United-States,<=50K -21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,254500,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K -21,Private,188923,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K -43,Private,208277,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -45,Private,216626,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Columbia,<=50K -28,Private,331381,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,258883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -57,Private,317969,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,122042,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,181723,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Germany,<=50K -43,Private,233130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -26,Private,171114,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -26,Private,102264,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,25806,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,China,<=50K -40,Private,72887,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -48,Private,401333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,State-gov,328228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,37514,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -45,Federal-gov,179638,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,133299,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -31,Private,1210504,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,197403,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,<=50K -32,Private,143604,10th,6,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K -25,Private,190350,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Private,243226,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Federal-gov,149596,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -28,Private,110164,Some-college,10,Divorced,Other-service,Other-relative,Black,Male,0,0,24,United-States,<=50K -25,Private,190916,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,212826,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -23,Local-gov,307267,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -36,Private,101318,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,>50K -40,Self-emp-inc,104235,Masters,14,Never-married,Other-service,Own-child,White,Male,0,0,99,United-States,<=50K -21,Private,321666,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K -47,Federal-gov,198223,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,35340,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,259688,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,30497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -37,Private,269329,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K -58,Private,51499,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,109404,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Self-emp-inc,190482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -52,Local-gov,251841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,Self-emp-not-inc,394356,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,165201,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K -52,Private,165998,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,169990,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,354037,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,Black,Male,15024,0,50,United-States,>50K -49,Private,98010,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -17,Local-gov,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -32,Private,172375,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -21,Private,211013,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,50,Mexico,<=50K -37,Private,240810,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,189933,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K -21,Private,369643,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -19,Local-gov,354104,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,125813,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -20,Private,309580,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,168262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -37,Private,174503,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -60,Private,420842,Assoc-acdm,12,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,40,?,<=50K -26,Private,176008,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,181546,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,87605,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Local-gov,83066,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,107960,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -36,Private,148903,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -56,Self-emp-not-inc,50791,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,1876,60,United-States,<=50K -37,Local-gov,105266,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,4650,0,40,Vietnam,<=50K -20,Private,158206,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -44,Private,186790,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,292023,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -71,?,178295,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -59,Private,97213,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,125461,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,35,United-States,<=50K -75,Private,101887,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,70,United-States,<=50K -20,Private,203003,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,147344,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,149220,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,?,131573,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -62,Private,67928,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,206874,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,?,49665,HS-grad,9,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -38,Private,165930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,194287,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,1602,35,United-States,<=50K -51,Private,508891,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Local-gov,130620,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K -34,Private,104509,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,1639,0,20,United-States,<=50K -64,State-gov,33342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,153536,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -38,Private,245372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -36,Private,83471,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -57,Self-emp-not-inc,264148,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -51,State-gov,88020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -34,Self-emp-not-inc,236391,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -59,Federal-gov,188047,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -19,?,218956,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,Canada,<=50K -32,Private,32406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -20,Private,236592,12th,8,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,Italy,<=50K -22,Private,131291,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K -29,Private,377414,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,State-gov,100285,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K -35,Self-emp-inc,186488,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Puerto-Rico,<=50K -38,Private,172538,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -35,Private,138992,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,7298,0,40,United-States,>50K -22,Private,232985,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -51,Private,82720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,191841,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Private,301010,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,61838,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,255941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K -18,Private,266681,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,182370,Assoc-acdm,12,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,97883,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,48,Italy,<=50K -90,Private,51744,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,2206,40,United-States,<=50K -30,Private,206046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -45,Self-emp-not-inc,162923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,153997,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,State-gov,60949,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,126822,10th,6,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -45,State-gov,112761,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,124680,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,70,United-States,<=50K -27,Private,269246,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,45,United-States,<=50K -43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -31,Private,48189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -51,Local-gov,203334,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -38,Private,34378,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,394727,10th,6,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -40,Private,137304,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,366889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,152035,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Self-emp-inc,179951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -31,Private,595000,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,35,United-States,<=50K -18,?,196061,Some-college,10,Never-married,?,Own-child,White,Male,0,0,33,United-States,<=50K -53,Self-emp-inc,155983,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -25,Private,312157,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,212120,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -21,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -51,Private,53838,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,409230,1st-4th,2,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,205047,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -20,State-gov,162945,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,278329,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -58,Self-emp-inc,329793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -37,?,319685,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,54,United-States,>50K -19,Private,375077,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -37,Self-emp-inc,183898,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,126368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K -38,Private,181705,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,185437,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K -45,Private,187969,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -31,Private,176711,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,288598,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -60,Self-emp-not-inc,184362,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -38,Private,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -24,?,174182,11th,7,Married-civ-spouse,?,Wife,Other,Female,0,0,24,United-States,<=50K -31,Private,176185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,France,>50K -50,Private,339954,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,299119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,Private,249956,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -36,Self-emp-not-inc,278553,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,15024,0,75,United-States,>50K -58,Private,204021,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,Canada,<=50K -60,?,102310,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,45,Canada,<=50K -28,Private,150437,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -17,Private,340557,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,214069,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,409464,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,224241,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,48458,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,1669,45,United-States,<=50K -20,?,29810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,141584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -36,Private,126954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,361497,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,188774,11th,7,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,?,<=50K -49,Private,185385,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,291147,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -73,Private,159007,Bachelors,13,Divorced,Farming-fishing,Other-relative,White,Female,0,0,12,United-States,<=50K -20,Private,104164,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,?,374716,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K -25,Private,335005,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,40,United-States,<=50K -25,Private,315130,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K -25,Private,134821,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,203258,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -19,Private,208366,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,208302,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -42,Private,112607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,349148,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -43,Private,198965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -33,Private,149726,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,65080,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -23,Private,87528,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,417657,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -41,Private,274363,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -35,Self-emp-inc,213008,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -38,Private,187983,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,64563,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K -61,Private,224699,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -26,Private,41521,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,106982,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -53,Self-emp-not-inc,174102,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,60,United-States,>50K -63,Private,131519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,145441,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -47,Private,184169,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -27,Private,111361,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -37,Private,190297,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -47,Private,72880,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,187795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -40,Private,141657,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -62,Private,155256,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,164488,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -36,Self-emp-not-inc,112497,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,40,United-States,>50K -31,Private,305619,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,229977,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -69,Private,179130,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,38,United-States,<=50K -28,Private,267912,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,298871,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,45,Iran,>50K -46,Local-gov,144531,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -37,Local-gov,161111,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -49,Private,547108,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K -31,Private,264864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,356934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K -21,Private,159879,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,138976,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,48,United-States,<=50K -52,Private,176134,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -26,Private,86872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -44,Private,267521,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,40083,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -42,Private,282964,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,178691,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -39,Private,199816,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -22,Private,460835,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -57,Private,279340,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,29,United-States,<=50K -38,Private,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -46,Private,187226,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -41,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -51,Private,103407,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,217302,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -52,Private,174767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -31,Private,114691,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -50,Private,234657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,242136,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,243410,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -71,Private,149040,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,268292,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -62,Federal-gov,34916,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,165054,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,81896,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Private,205975,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -60,Private,74422,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,Mexico,<=50K -40,Self-emp-not-inc,34037,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -27,Federal-gov,285432,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,155654,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -37,Local-gov,223020,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -39,Local-gov,193815,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -29,Private,89813,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Scotland,<=50K -47,Private,121836,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,38,United-States,>50K -40,Private,195892,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,29430,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,218667,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,214840,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -29,Private,354496,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,209538,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -36,Private,199288,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -19,Federal-gov,27433,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,177181,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,208347,11th,7,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Puerto-Rico,<=50K -28,Self-emp-inc,37088,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,367020,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -39,Local-gov,222572,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -53,Federal-gov,218382,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -52,Private,84451,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -48,Private,232149,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,32365,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,195868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -21,Private,143604,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -46,Private,102542,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,52,United-States,<=50K -21,Private,133582,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,2176,0,36,Mexico,<=50K -36,Private,99270,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,255667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -46,Self-emp-inc,214627,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -28,Private,103389,Masters,14,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,132652,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -44,Self-emp-not-inc,195486,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,70,Jamaica,<=50K -33,Private,196898,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,72425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,28419,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -48,Private,267912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Mexico,>50K -17,Private,217342,10th,6,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K -31,Private,42485,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -46,Private,186078,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,206541,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -38,Private,290306,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Local-gov,128091,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,132393,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Poland,<=50K -43,Private,173590,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Federal-gov,31965,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,292590,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -45,Local-gov,257855,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -67,Private,180539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K -59,Private,176647,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,173704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,28791,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -36,Private,68089,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -56,Private,81220,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -66,?,99888,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,175586,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K -21,Private,189749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,123816,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,134737,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -18,Private,243240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -31,Private,208881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,552354,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,113323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,United-States,>50K -47,Private,232628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,132870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,202920,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Germany,<=50K -31,Private,115488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,38353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,184543,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,236267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,220978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -44,Private,328561,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -29,Private,236436,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K -36,Private,51100,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,193165,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -18,Private,167147,12th,8,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -66,Private,290578,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,167864,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,87757,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,155472,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,1151,0,50,United-States,<=50K -46,Private,91608,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,358753,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -41,Local-gov,242586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,201742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -22,Private,257017,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,52,United-States,<=50K -52,Private,206359,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,257781,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1719,30,United-States,<=50K -20,Private,122622,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,188391,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K -66,Self-emp-not-inc,44712,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,15,United-States,<=50K -38,Local-gov,287658,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -33,Private,121966,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,141584,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,2444,45,United-States,>50K -24,Private,326931,9th,5,Never-married,Transport-moving,Unmarried,Other,Male,0,0,40,El-Salvador,<=50K -37,Private,206888,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -52,Private,110748,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,212261,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,39,United-States,<=50K -65,Private,149131,11th,7,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,153209,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,207449,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,135500,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,?,188618,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,340126,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -32,Private,94235,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,176514,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,163948,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -51,Private,173987,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -39,Federal-gov,189632,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -60,Private,39263,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,35,United-States,<=50K -43,Private,154210,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,2829,0,60,China,<=50K -22,Private,158522,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -34,Private,245487,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,45,Mexico,<=50K -41,State-gov,47902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -74,State-gov,236012,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,685955,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K -54,Private,221915,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K -27,Private,119793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,?,<=50K -58,Private,270131,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,70,Mexico,<=50K -28,Federal-gov,53147,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,132589,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -78,Self-emp-inc,385242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K -35,Private,209609,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,131762,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,State-gov,106721,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -42,Private,223934,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,126129,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,160431,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,150441,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,181796,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,190325,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,347132,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,201689,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,63,?,>50K -40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -52,Local-gov,140027,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Local-gov,196307,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -31,Private,101352,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,285020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -39,Private,746786,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -38,Private,391040,Assoc-voc,11,Separated,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K -33,Private,174463,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -26,Self-emp-not-inc,137795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,175081,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -23,Private,204226,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,321313,Masters,14,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -26,State-gov,105787,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,228043,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -32,Private,271276,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -26,Private,157617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -60,?,106282,9th,5,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,226422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,296594,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,48121,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,160510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -40,Private,382499,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -61,Self-emp-inc,218009,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -90,Private,226968,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,204752,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -40,Local-gov,147372,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2444,40,United-States,>50K -19,Private,260333,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,174794,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,197057,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -55,Private,119751,Masters,14,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,50,Thailand,<=50K -18,?,116839,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -64,Private,203783,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K -40,Self-emp-not-inc,548664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -37,Private,46385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,128485,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -57,Self-emp-not-inc,149168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -49,Private,110243,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,178587,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,181557,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -19,?,171583,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,171088,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -17,Private,195505,10th,6,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K -24,Local-gov,196816,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,109814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -49,Federal-gov,77443,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K -45,Private,252616,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,36,China,<=50K -30,Private,55291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,324506,HS-grad,9,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,48,South,<=50K -33,Private,241697,Some-college,10,Married-spouse-absent,Sales,Unmarried,Amer-Indian-Eskimo,Male,0,1602,40,United-States,<=50K -40,Private,114580,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K -41,Private,210922,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,?,<=50K -33,Self-emp-inc,155781,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K -54,Private,172962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,128460,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,171926,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -47,Self-emp-not-inc,184682,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -46,Private,37353,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,953588,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,99185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -80,Private,107740,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -43,Private,265434,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Self-emp-inc,66935,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -53,Private,229247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,45,United-States,<=50K -37,Local-gov,74194,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,165930,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,132601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,172748,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,63062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -38,Private,199256,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,State-gov,77634,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -31,Private,302679,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Local-gov,364310,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,Germany,<=50K -37,Private,172571,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,184831,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,165107,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -49,Self-emp-not-inc,130206,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,176992,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -25,State-gov,176077,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K -68,?,76371,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -34,Private,179877,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -31,Private,141118,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -34,Private,83800,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -48,Private,138069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,287927,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,<=50K -20,Private,195411,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -21,Private,207103,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,179781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,State-gov,36177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,Private,353195,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,Private,126349,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K -44,Local-gov,183850,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -57,Private,141326,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -61,Private,227332,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,192853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Jamaica,>50K -49,Federal-gov,195437,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K -60,Self-emp-not-inc,38622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,267412,Preschool,1,Never-married,Other-service,Own-child,Black,Female,594,0,20,Jamaica,<=50K -59,Private,296253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,176992,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -69,Local-gov,142297,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,<=50K -45,Private,178341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,321817,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,216292,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K -62,State-gov,312286,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Private,455361,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K -50,Private,205803,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,260782,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,45,El-Salvador,<=50K -49,Local-gov,269527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -52,Local-gov,199995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -29,Private,159109,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -18,?,331511,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Local-gov,80282,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,40,United-States,<=50K -63,Private,151364,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,<=50K -52,Private,81859,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -38,Private,252250,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -39,Private,175232,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,190759,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -55,Private,28338,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,129298,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,32763,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -33,Private,238912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -63,Private,109517,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -42,Private,336891,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,193672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,113464,1st-4th,2,Never-married,Other-service,Own-child,Other,Male,0,0,35,Dominican-Republic,<=50K -36,Private,116445,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,99902,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ireland,>50K -44,Private,216907,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -41,Private,191814,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,111363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,198452,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,18,United-States,<=50K -50,Private,168539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,171524,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K -40,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -27,Private,82393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -40,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,?,245372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,75,United-States,>50K -49,Private,61307,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,38,United-States,<=50K -18,Private,163332,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -27,Private,34701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,118941,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K -40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K -54,Self-emp-inc,196328,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,Jamaica,<=50K -59,Private,104455,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Private,22494,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,7443,0,40,United-States,<=50K -42,Private,44121,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -22,Private,418405,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,154227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -51,Private,270194,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,State-gov,94186,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,37,United-States,<=50K -29,Private,176683,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -66,?,149422,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -38,Private,247111,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-not-inc,43434,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,201699,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -29,Private,161444,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Columbia,<=50K -19,Private,365640,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K -36,Federal-gov,187089,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,157131,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -48,Federal-gov,215389,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -79,?,100881,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K -33,Local-gov,256529,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,80,United-States,<=50K -28,Private,271936,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,?,220115,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,43652,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,451996,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,165532,12th,8,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -33,Self-emp-not-inc,235271,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -52,Private,159670,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,218456,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,Hungary,<=50K -17,Private,75885,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -32,Private,198068,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,State-gov,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,112271,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -24,Private,275395,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,90196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Self-emp-inc,225860,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -36,?,92440,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,335973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -17,?,186575,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -43,Local-gov,180096,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,82098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -63,Local-gov,152163,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,107998,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -33,Self-emp-inc,196963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -28,Private,157624,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,113147,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,38238,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,197505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,55424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,208045,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -59,Private,47444,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,74,United-States,>50K -34,Private,293900,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K -59,Private,192983,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,State-gov,436006,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,203160,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,259643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -57,Private,169071,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K -47,Private,97842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,State-gov,27243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -32,Private,108247,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -19,Private,205953,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,20,United-States,<=50K -52,Self-emp-inc,49069,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -42,Private,149102,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,State-gov,136996,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,48,United-States,<=50K -48,State-gov,99086,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,111483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -45,Federal-gov,71823,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K -18,?,471876,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,166297,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K -44,Private,187720,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,147270,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -59,Federal-gov,176317,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -28,Private,100219,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -57,Private,237691,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -24,Local-gov,140647,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -65,Private,198766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -23,Private,111450,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K -33,Private,169886,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,50,Dominican-Republic,<=50K -40,Private,277647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -39,Private,160123,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Local-gov,207213,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K -44,Self-emp-inc,165815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K -39,Self-emp-not-inc,230329,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,12,United-States,>50K -35,Private,42044,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -35,Local-gov,160728,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -44,Private,157236,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K -49,Private,393715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -36,Private,180667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K -37,Federal-gov,160910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,226311,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,128258,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -17,Private,311288,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,24,United-States,<=50K -30,Private,174215,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -51,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -26,Private,190469,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,113322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,?,37672,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -23,Private,140462,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,108960,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,199419,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,121321,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K -55,Private,80167,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,117166,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2635,0,40,United-States,<=50K -46,State-gov,135854,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -57,Private,148315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -33,Private,169496,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Private,189665,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -29,Private,245402,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,89508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -58,Private,209423,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,Cuba,<=50K -18,Private,110142,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -50,State-gov,211319,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -21,?,278130,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,123306,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,State-gov,197184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -55,Private,255364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,166051,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,?,117310,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Local-gov,55921,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K -29,Private,367329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,254351,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Private,263899,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,Haiti,<=50K -65,?,143732,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,?,63526,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,52,United-States,<=50K -54,Self-emp-not-inc,163815,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K -28,Private,213081,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -53,Private,132304,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Self-emp-inc,109001,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -18,Private,174926,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K -30,Private,113129,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -39,Self-emp-not-inc,497525,10th,6,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,401451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -24,Self-emp-not-inc,216889,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,218551,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -47,Self-emp-not-inc,159726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,126076,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -68,Private,208478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,?,<=50K -29,Without-pay,212588,Some-college,10,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -36,Private,263896,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,163150,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,28,United-States,<=50K -21,Private,294295,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,666014,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,219841,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -34,Private,160634,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,154785,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Other,Female,0,0,35,United-States,<=50K -31,Private,375680,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K -45,Local-gov,235431,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -59,Private,146391,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,201117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,194630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3781,0,50,United-States,<=50K -52,Federal-gov,197189,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -25,Private,353795,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K -42,Private,228320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K -27,Private,167405,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K -32,Private,32732,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -45,State-gov,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,?,96130,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,England,<=50K -44,Private,39581,Bachelors,13,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,?,306031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,340341,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,129707,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,>50K -17,?,161981,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,231053,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K -43,State-gov,198766,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -30,?,159589,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,46,United-States,>50K -46,State-gov,114396,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,152109,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -49,Self-emp-inc,77132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K -63,Local-gov,65479,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -68,Private,174895,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,State-gov,156773,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,?,<=50K -59,Private,169982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,50,United-States,<=50K -48,Private,33669,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -20,?,94746,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K -49,Private,262116,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -28,Private,50814,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,119359,Prof-school,15,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,15024,0,40,South,>50K -51,State-gov,230095,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -17,Private,242871,10th,6,Never-married,Sales,Own-child,White,Female,594,0,12,United-States,<=50K -19,Private,163885,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,234125,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,135020,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,374163,12th,8,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,60,Mexico,<=50K -35,Private,281982,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,172238,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -57,Private,201159,Assoc-acdm,12,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Local-gov,166545,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,511068,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -40,Private,105936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,5013,0,20,United-States,<=50K -62,Private,202242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -34,Private,153942,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -63,State-gov,194682,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -56,Private,124137,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K -49,Private,277434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -63,?,150389,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,>50K -17,Private,224073,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,114770,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -65,Private,105116,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2346,0,40,United-States,<=50K -34,Private,185216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,216284,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -55,Private,92215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,236379,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K -53,Private,153052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,65098,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,157747,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K -42,Self-emp-not-inc,30759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,207064,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -24,?,114292,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,217826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,Jamaica,<=50K -27,Private,197380,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,179659,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -20,Private,282604,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -67,Local-gov,197816,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K -38,Private,205339,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,73471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K -45,Private,180010,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -63,?,29859,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,40,United-States,>50K -26,Private,224567,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,224358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,258517,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,172403,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -62,Private,185503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-not-inc,109282,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,Private,618808,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -90,?,225063,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,10,South,<=50K -32,Private,132767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,471768,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K -42,Private,285787,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,449101,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,341995,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -22,Private,316304,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -17,Private,193748,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -31,Federal-gov,148207,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,<=50K -31,State-gov,29152,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -52,Local-gov,30118,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,42,United-States,<=50K -50,Self-emp-not-inc,146603,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,264055,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K -71,Self-emp-not-inc,28865,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -57,?,208311,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K -39,Private,207185,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,Puerto-Rico,>50K -82,Self-emp-not-inc,121944,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,578701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -36,Private,269042,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -44,Self-emp-inc,69333,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -30,Private,221043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -44,Self-emp-not-inc,187164,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K -53,State-gov,246820,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,105422,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,?,155977,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,54,United-States,<=50K -49,Private,197418,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -43,Private,163831,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,302770,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Local-gov,206297,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -20,Private,286734,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,35,United-States,<=50K -31,Private,236543,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -40,Private,145166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -21,Private,225395,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,24,United-States,<=50K -37,Self-emp-inc,291518,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K -38,Self-emp-inc,54953,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -45,State-gov,263982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -74,Local-gov,214514,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -54,State-gov,187686,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -40,Private,199900,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,55,United-States,>50K -43,Private,248476,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,128645,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,55718,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K -40,Private,25005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,99,United-States,>50K -44,Private,163331,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -30,Private,325509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,33126,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Local-gov,319054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -71,Private,211707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,4,United-States,<=50K -30,Private,145714,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,266337,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,123983,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -66,?,93318,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,374833,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,45869,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -45,State-gov,312678,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K -44,Private,174325,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,116379,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K -24,Private,188274,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,313730,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,203488,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -59,Private,59469,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -46,Local-gov,65535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -26,Private,105059,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,103408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,54953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,168837,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,Canada,>50K -40,Private,373050,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -35,Private,67083,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -46,Private,110171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -27,?,176683,Some-college,10,Never-married,?,Own-child,White,Male,0,1719,40,United-States,<=50K -53,Federal-gov,141340,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,107160,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,?,134566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -26,Private,191797,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K -50,State-gov,322840,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Poland,>50K -41,State-gov,132551,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -40,Federal-gov,330174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,128604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -29,Private,87523,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,295991,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,92003,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,185057,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,?,<=50K -39,Private,172571,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -55,Private,322691,Masters,14,Widowed,Exec-managerial,Own-child,White,Male,0,0,62,United-States,>50K -21,Private,96061,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -32,Private,73199,12th,8,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -54,?,32385,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -42,Self-emp-not-inc,157562,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K -54,Private,171924,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K -42,Private,54102,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,297991,Bachelors,13,Married-civ-spouse,Sales,Not-in-family,Asian-Pac-Islander,Female,0,1977,75,Cambodia,>50K -35,Private,110538,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -24,Private,142528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -23,State-gov,170091,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K -26,Private,292353,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,81145,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K -77,?,185426,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -47,Private,170846,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,>50K -30,State-gov,126414,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,28791,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,184784,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,214542,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,142182,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -30,Local-gov,346122,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,45,United-States,<=50K -17,Private,174298,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,151835,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -25,Private,197871,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -28,Private,250679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,172401,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,150217,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,Poland,<=50K -40,Private,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -31,Private,77143,12th,8,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -19,Private,124464,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,86143,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -40,Private,245529,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,199655,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,1740,40,?,<=50K -41,Self-emp-inc,223671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -61,Private,266646,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,2290,0,40,United-States,<=50K -54,Private,162238,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,199529,Some-college,10,Separated,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,1980,40,United-States,<=50K -38,Private,189623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -21,Private,191789,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K -68,State-gov,493363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -21,Private,177711,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Private,173888,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,52,United-States,<=50K -60,Local-gov,93272,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,47276,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,>50K -57,Private,125000,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,State-gov,177974,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -45,Private,209912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -60,Self-emp-not-inc,95490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -52,Self-emp-not-inc,175029,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -25,Private,267044,Some-college,10,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -31,Private,156763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K -31,Private,87891,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,183168,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,200517,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K -28,Private,204648,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -46,Private,173613,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -65,?,115431,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -59,Private,118358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,200569,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -29,Local-gov,190330,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -27,Private,60288,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -29,Federal-gov,119848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,296798,11th,7,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K -26,Private,224361,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,391192,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -41,Local-gov,137142,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,168211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -32,Private,222221,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,42,United-States,>50K -36,Private,152744,Bachelors,13,Divorced,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K -45,Self-emp-not-inc,432824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,90,United-States,>50K -49,Private,214169,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,179633,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -52,State-gov,254285,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,Germany,>50K -67,Private,257557,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,10566,0,40,United-States,<=50K -36,Private,191754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -62,?,223447,12th,8,Divorced,?,Not-in-family,White,Male,0,0,40,Canada,<=50K -24,Private,281221,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K -48,Self-emp-not-inc,164582,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,60,United-States,>50K -24,Private,210781,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,397963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,594,0,16,United-States,<=50K -57,Self-emp-not-inc,315460,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,<=50K -32,Federal-gov,566117,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,118023,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,13,United-States,<=50K -47,Private,238185,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,242718,11th,7,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K -38,Private,187264,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K -46,Private,306183,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -22,Federal-gov,65547,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -60,Private,367695,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,184975,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K -40,Private,566537,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,40,Mexico,<=50K -37,Private,35309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,119164,Bachelors,13,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K -41,Private,74775,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K -45,Private,275995,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -33,Private,232356,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -20,Private,151780,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -42,State-gov,184682,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,122026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -67,Private,318533,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,241259,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,441542,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,Local-gov,167474,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,144483,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,594,0,35,United-States,<=50K -22,Private,207940,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,36,United-States,<=50K -27,Private,94090,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -79,Private,160758,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -49,Private,236913,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Local-gov,182926,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K -61,Private,131117,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -61,Self-emp-not-inc,390472,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,194247,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,235197,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -46,Private,73541,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,195385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Private,124483,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,?,>50K -22,?,117618,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -24,Private,303296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -90,Private,272752,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -23,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,289944,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -47,Federal-gov,117628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,241998,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Italy,<=50K -40,Private,367533,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,State-gov,92531,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,254367,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1590,48,United-States,<=50K -40,Local-gov,34540,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -23,Private,345577,Some-college,10,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,26,United-States,<=50K -27,Private,150958,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,48,Guatemala,<=50K -44,Self-emp-inc,79521,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,55,United-States,>50K -61,?,29059,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -29,Private,309463,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,109482,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,98,United-States,<=50K -22,Private,203894,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -70,Private,315868,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,65545,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,46,United-States,<=50K -35,Private,142282,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Local-gov,174684,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -18,?,216508,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -52,Local-gov,295494,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,130018,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -57,Private,222247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -30,Private,84119,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -55,Private,197420,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K -39,Private,236391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -41,Private,409902,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,33,United-States,<=50K -47,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -68,?,141181,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -28,Private,419146,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -50,Self-emp-not-inc,170562,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,75891,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -58,?,361870,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -41,?,339682,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -47,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -46,Self-emp-not-inc,233974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -31,Private,187802,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,303051,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -42,Private,220049,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,148443,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,75755,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,115516,Masters,14,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -47,Private,234470,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Local-gov,194901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,448337,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,117674,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -38,Private,185556,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Private,247558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,60,?,>50K -43,Self-emp-inc,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -52,Private,92968,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,?,<=50K -38,Private,133963,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -36,Private,73023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -30,Private,342709,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,335716,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-inc,291333,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -71,Local-gov,161342,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,3,United-States,<=50K -30,Private,186269,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,111321,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -29,Private,199903,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,136277,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K -23,Private,420973,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,150463,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Other,Female,0,0,40,Guatemala,<=50K -53,Self-emp-not-inc,46704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -53,Private,277471,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -27,Private,200733,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -37,Self-emp-not-inc,268598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,7298,0,50,Puerto-Rico,>50K -45,Private,189792,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,188069,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K -24,Private,152724,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -34,Private,31740,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,55237,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,250165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K -31,Private,197023,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Private,34572,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,35945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,43556,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K -41,Private,69333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Self-emp-not-inc,166036,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,118497,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,231813,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,51664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,115963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,183892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,44,United-States,>50K -75,Self-emp-not-inc,192813,Masters,14,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,246933,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K -42,Private,162140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -38,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2205,40,United-States,<=50K -42,Private,33155,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,85,United-States,<=50K -25,Self-emp-inc,86745,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -60,Private,167670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,120320,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -81,?,120478,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,1,?,<=50K -50,Self-emp-not-inc,156606,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,<=50K -41,Private,147372,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -36,Federal-gov,68781,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -38,State-gov,87282,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -57,Private,262681,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Self-emp-inc,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,?,>50K -54,Private,29909,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K -68,Private,186350,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,>50K -90,Private,46786,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,9386,0,15,United-States,>50K -18,Private,210828,Some-college,10,Never-married,Handlers-cleaners,Own-child,Other,Male,0,0,30,United-States,<=50K -31,Private,179186,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,90,United-States,>50K -25,Private,104614,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Female,0,0,25,United-States,<=50K -20,?,210029,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,87300,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,95423,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,296450,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,State-gov,28887,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,118861,10th,6,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,Guatemala,<=50K -40,Local-gov,38876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -48,Self-emp-not-inc,213140,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -33,?,163003,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,41,China,<=50K -38,Local-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -37,Private,178136,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,87891,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -61,Private,86067,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,178416,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,155118,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K -59,Private,197148,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,>50K -34,Private,195748,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,State-gov,260782,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,209286,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,144218,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -33,Self-emp-not-inc,37232,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,10520,0,80,United-States,>50K -47,Private,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,134813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,188391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -57,Private,191983,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,424934,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Portugal,<=50K -56,Private,126677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -19,Private,93762,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,190531,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -35,Private,150042,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -23,?,154373,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,220939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -33,State-gov,160261,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -27,Private,232782,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,236804,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,State-gov,279243,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,226696,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,134367,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K -38,Private,167725,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,84,India,<=50K -31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -32,Private,194141,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -25,Private,202203,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -31,Private,169240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,121718,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,48,United-States,>50K -21,Private,129137,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,1055,0,35,United-States,<=50K -39,Private,286026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -34,Private,221167,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,Private,188246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -63,?,424591,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,375502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -34,Private,223678,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K -32,Private,265190,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,155983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,?,106707,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K -51,Private,263836,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Private,199720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,242207,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,71701,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,Portugal,<=50K -67,Private,197865,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,State-gov,243664,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -62,Without-pay,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K -63,Private,145212,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,35865,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Self-emp-inc,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -38,Private,98080,Some-college,10,Never-married,Adm-clerical,Other-relative,Other,Male,0,0,40,India,<=50K -38,Self-emp-not-inc,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,225707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K -48,Private,172695,Assoc-voc,11,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,138872,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,180439,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K -20,Private,104981,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,107190,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -43,Private,114043,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,102359,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -27,Private,375703,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,239397,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,Mexico,<=50K -24,Private,314823,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Dominican-Republic,<=50K -53,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,289353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,24,United-States,<=50K -37,Federal-gov,287031,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -27,Private,129624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,220043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,346478,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,36601,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,192251,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -63,Private,383058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -62,Private,170969,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -58,Private,183810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K -66,Private,104936,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -40,Private,170730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,176683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -48,State-gov,31141,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K -20,Private,154781,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,198259,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,198632,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,126779,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -19,Private,192773,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -19,Private,150553,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,18,Philippines,<=50K -42,Private,36296,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,147397,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K -50,Private,169646,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -38,Private,136629,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Iran,<=50K -47,Private,191957,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -23,State-gov,110128,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -68,Private,192656,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -45,Private,151518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,48014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,96359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,>50K -29,Private,490332,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -22,Private,147655,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,93973,11th,7,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -38,Private,698363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,49249,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,121650,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -20,Private,181032,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,205424,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -23,Private,213811,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -41,Local-gov,190786,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Private,315423,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,177543,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -46,Private,165937,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,170800,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,37,United-States,<=50K -17,?,303317,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -77,?,132728,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,173938,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,?,>50K -74,Private,180455,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K -45,Federal-gov,98320,Some-college,10,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,914,0,40,United-States,<=50K -46,Private,110151,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -28,Private,487347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,227128,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,264052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,261720,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,365465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,117779,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,46,United-States,>50K -30,Private,35724,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -34,Private,90614,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,2042,10,United-States,<=50K -25,State-gov,230200,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,202673,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -22,Private,269623,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,249727,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,35961,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,25,Germany,<=50K -35,Private,172571,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,347292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -47,Private,181307,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -26,Private,121427,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,328734,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -55,Private,23789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,23871,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -53,Private,203967,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -28,Private,138692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,102884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,161016,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -60,Private,206339,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,107411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,113882,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,4508,0,40,United-States,<=50K -34,Private,260560,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,144259,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,4386,0,80,?,>50K -29,Self-emp-not-inc,104423,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,4386,0,45,United-States,>50K -41,Private,166740,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,168782,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -34,Private,182401,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Private,102559,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -35,Private,247547,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -20,Private,147884,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,280093,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,50,United-States,<=50K -42,Private,181265,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,172571,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,213902,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,32,El-Salvador,<=50K -44,Private,229148,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -18,Private,220754,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -50,Private,213041,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -26,Private,175801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,?,216908,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -25,Private,212311,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Local-gov,378221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,>50K -42,Self-emp-not-inc,67065,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -36,Local-gov,220237,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K -39,Private,141584,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -39,Private,211154,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,72618,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -84,Local-gov,163685,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,33,United-States,<=50K -23,Private,179241,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -22,Federal-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,232672,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,178564,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -22,?,201959,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,212064,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -25,Private,352806,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -50,Private,99476,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -57,Private,121821,1st-4th,2,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -26,Private,58098,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K -47,Private,250170,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,152652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,99385,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Local-gov,131573,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K -22,Private,285775,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,321031,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -34,Federal-gov,436341,Some-college,10,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -68,Self-emp-not-inc,133736,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -57,Private,316000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,605502,10th,6,Never-married,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Local-gov,49296,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,351350,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,250724,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Jamaica,<=50K -23,Private,210797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -64,Private,130727,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,37,United-States,<=50K -32,Private,76773,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,216137,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -31,Private,196125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,163002,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -19,Private,188669,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -34,Private,737315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,177437,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,34506,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,166301,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,327120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -70,Private,206232,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,190027,HS-grad,9,Separated,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -28,Private,46868,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,160339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -26,Self-emp-not-inc,34307,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -20,Private,190772,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,287031,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K -40,State-gov,148805,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,315065,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K -37,Private,33001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,270436,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,187272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,South,<=50K -38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -23,Private,220993,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -42,Private,238384,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,36,United-States,<=50K -54,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,146949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,173613,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,78765,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -41,Private,168730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,236770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,267859,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K -64,State-gov,143880,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,214503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -41,Local-gov,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,113045,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,15020,0,40,United-States,>50K -24,Private,219510,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K -36,Private,217926,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K -29,Private,256671,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,213008,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -33,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -65,Self-emp-not-inc,176835,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,7978,0,40,United-States,<=50K -28,Private,261725,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -63,?,257659,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -40,Private,203761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -42,Private,111483,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -24,Private,172496,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -32,State-gov,190577,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -55,Local-gov,37869,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Private,331539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K -37,Private,279029,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,181566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4508,0,40,United-States,<=50K -33,Private,141490,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K -17,?,228373,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,102771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -76,?,135039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -24,Private,47791,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Private,221532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,113106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -55,Local-gov,165695,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -76,Self-emp-not-inc,413699,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,28,United-States,<=50K -39,Self-emp-inc,216473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -53,Private,548361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,State-gov,28366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,208180,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K -49,Private,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -20,Private,163665,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K -31,Private,137367,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -26,Private,211695,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,190539,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Greece,>50K -64,Private,104973,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -53,Private,111939,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,181761,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -60,Private,349898,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K -34,State-gov,204461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Private,200363,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,44,United-States,<=50K -33,Private,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2202,0,50,United-States,<=50K -21,Private,129674,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,Mexico,<=50K -21,?,180303,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,?,<=50K -44,Private,355728,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,1980,45,England,<=50K -43,Federal-gov,117022,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,1726,40,United-States,<=50K -68,?,192052,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,2457,40,United-States,<=50K -66,Private,210825,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -17,?,80077,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,111232,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,127089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,38,United-States,>50K -27,Private,153869,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,37,United-States,<=50K -47,Local-gov,246891,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,142245,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,State-gov,211915,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,210541,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,44047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,215647,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K -27,Private,420351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,82572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -48,Private,345006,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -43,Self-emp-not-inc,451019,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,54583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K -39,Private,215981,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,171889,Prof-school,15,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -48,Private,175006,1st-4th,2,Separated,Machine-op-inspct,Other-relative,Black,Male,0,0,48,United-States,<=50K -19,Private,328167,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -20,?,71788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K -23,Private,239375,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,212513,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,77820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,State-gov,53497,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -53,Private,177727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,121124,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K -46,Self-emp-not-inc,368355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -33,Private,198103,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,130959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,12,United-States,<=50K -50,Private,200618,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,188563,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -42,Private,311920,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,17,United-States,>50K -41,State-gov,180272,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -24,State-gov,123160,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,10,China,<=50K -47,Self-emp-not-inc,26145,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -56,Private,155449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,174426,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,102686,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -41,Self-emp-inc,124330,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -67,Self-emp-not-inc,148690,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Male,18481,0,2,United-States,>50K -49,Private,348751,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,126133,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -51,Local-gov,289390,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -44,Private,214838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -28,State-gov,198201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -30,Federal-gov,97355,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,?,205418,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -59,Private,176118,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,>50K -67,?,243256,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -45,Local-gov,33798,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,154274,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K -38,Private,150057,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -61,Private,195595,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -41,Private,106679,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -18,?,193889,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,?,<=50K -26,Local-gov,102264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,208117,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,206889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -60,?,251572,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,35,Poland,<=50K -46,Private,288608,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,407759,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,49020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K -37,Private,336880,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,278188,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,215395,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,48063,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,86065,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,Mexico,<=50K -22,Private,41763,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,177216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1740,40,Haiti,<=50K -51,Local-gov,125796,11th,7,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,276540,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -59,Private,307423,9th,5,Never-married,Other-service,Not-in-family,Black,Male,0,0,50,United-States,<=50K -47,Private,285200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,209993,1st-4th,2,Widowed,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K -34,Private,154548,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -61,Local-gov,224711,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,>50K -26,Private,366219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1848,60,United-States,>50K -36,Self-emp-not-inc,167691,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -34,Self-emp-not-inc,209768,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,68452,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,189728,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Federal-gov,178074,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K -55,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,356934,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -31,Self-emp-not-inc,108468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -17,Private,99161,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -27,Private,405177,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,170019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -33,Private,117963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,276759,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -60,Private,39352,7th-8th,4,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K -21,Private,172047,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,119665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,211785,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,20,United-States,<=50K -50,Local-gov,163576,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -52,Self-emp-not-inc,149508,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K -27,Private,47907,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -22,Private,212803,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,198368,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,87535,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -28,Self-emp-not-inc,146949,10th,6,Never-married,Sales,Own-child,White,Male,0,0,80,United-States,<=50K -51,Private,138852,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,337664,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,112376,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,86648,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -56,Self-emp-not-inc,51916,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Private,165007,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,185325,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,100662,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Columbia,<=50K -30,Private,169841,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -39,Private,82699,Prof-school,15,Divorced,Prof-specialty,Not-in-family,Black,Female,13550,0,70,United-States,>50K -40,Private,212847,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K -59,Self-emp-not-inc,174056,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -35,Self-emp-not-inc,102471,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,Puerto-Rico,<=50K -41,Private,248476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,225339,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -58,Private,127264,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,233838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -28,Private,181776,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -51,State-gov,77905,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,166546,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -36,Private,47310,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,249644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-inc,153891,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -26,State-gov,68346,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,?,<=50K -19,Private,216804,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,33,United-States,<=50K -42,Private,213821,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,455361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -20,Private,235442,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -22,Private,239954,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,171419,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -46,Private,42251,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -55,Local-gov,56915,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K -24,Private,72310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K -70,Private,216390,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,2653,0,40,United-States,<=50K -32,Private,209538,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -22,Private,187052,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,107218,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -36,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -55,Self-emp-inc,275236,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -44,Federal-gov,280362,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,State-gov,113588,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -29,Private,102345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,52,United-States,<=50K -25,Private,178037,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -22,Federal-gov,316438,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -57,Private,142076,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -19,?,145234,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -50,Local-gov,191025,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4650,0,70,United-States,<=50K -45,Private,361842,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,319248,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,Mexico,<=50K -22,Private,197583,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,102460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,340269,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,45,United-States,<=50K -33,Private,159574,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,200235,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -29,Private,22641,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -41,Federal-gov,219155,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,India,>50K -45,Self-emp-inc,67001,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,112512,HS-grad,9,Widowed,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,278900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,381895,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,239663,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -46,Private,25894,Doctorate,16,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K -18,Private,301948,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,34095,0,3,United-States,<=50K -70,?,173736,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -41,Local-gov,36924,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,121130,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,118710,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,225294,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -65,Self-emp-inc,410199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,35,United-States,>50K -28,Private,216178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,205659,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,343121,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K -40,Private,188942,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,Puerto-Rico,<=50K -34,Private,386370,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -65,?,136431,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,9386,0,40,United-States,>50K -18,Local-gov,294605,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,12,United-States,<=50K -42,Private,245317,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,148351,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,?,<=50K -36,Private,188069,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -61,Private,106330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,166295,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,<=50K -59,Self-emp-not-inc,381965,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1740,80,United-States,<=50K -38,?,203482,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,275357,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,243867,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,United-States,<=50K -39,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -19,Local-gov,276973,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -42,Self-emp-inc,96509,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,<=50K -43,Federal-gov,144778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,163167,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -21,Private,203178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -43,Private,120277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K -32,Private,228873,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -28,Local-gov,91670,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -37,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,243773,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -30,Private,176175,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -62,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -40,Local-gov,153031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K -34,Private,340917,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,45,United-States,<=50K -23,Private,211678,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,366421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -28,Self-emp-not-inc,38079,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,198163,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,398473,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -41,Private,207578,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,India,>50K -52,Local-gov,512103,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,111994,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -28,Private,190539,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Local-gov,161944,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -51,Private,120173,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K -48,Private,189462,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,2176,0,40,United-States,<=50K -34,Private,80058,Prof-school,15,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -45,Local-gov,195418,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,239130,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,97963,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,259412,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -60,Self-emp-not-inc,218085,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -19,Private,108147,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -34,Private,204461,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Private,246891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,Canada,>50K -46,Private,163352,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -40,Self-emp-not-inc,194924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -21,Self-emp-not-inc,99199,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,189933,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,233786,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -17,Private,143868,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,611029,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,215477,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,214399,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -25,Private,244408,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -41,Private,54422,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,503675,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -51,Private,313146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,267161,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,45,United-States,<=50K -50,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -22,Private,188950,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,216149,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -31,Private,201122,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,155489,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,99551,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,15,United-States,<=50K -22,Private,123727,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Self-emp-not-inc,182416,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,42,United-States,<=50K -42,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -28,Private,145284,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -43,Private,35910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K -36,Private,172256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -40,Self-emp-inc,50644,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,1506,0,40,United-States,<=50K -21,Private,249282,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,28031,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -48,Private,239058,12th,8,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,50,United-States,<=50K -60,Self-emp-not-inc,168223,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,130620,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -38,?,104094,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -46,Local-gov,174361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,323009,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -28,Private,37821,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,55,?,<=50K -45,Private,331643,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,339442,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,2176,0,40,United-States,<=50K -50,Private,143804,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -37,Private,249720,Assoc-voc,11,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,32,United-States,<=50K -41,Private,65372,Doctorate,16,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K -22,Private,230574,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -29,Private,177955,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,El-Salvador,<=50K -46,Private,215943,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,248011,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -33,Private,290763,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,131230,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,194971,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,52,China,<=50K -28,Private,230856,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,3325,0,50,United-States,<=50K -40,Self-emp-inc,102226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,250818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,174533,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,89625,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,238002,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,Mexico,<=50K -40,Private,187802,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K -46,Self-emp-not-inc,181372,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,185027,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,111961,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -44,Local-gov,145246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -42,Local-gov,227890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K -20,Private,293726,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,395512,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Mexico,<=50K -30,Local-gov,268482,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,535027,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Male,0,0,15,United-States,<=50K -30,?,121775,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,162494,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,100188,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -46,Local-gov,132994,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -56,Private,105281,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K -25,Private,330774,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,105216,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -33,Private,104620,Masters,14,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,15,United-States,<=50K -46,Private,32825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,191088,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -27,Private,133696,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K -51,Private,196107,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,36440,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,282680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,230704,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,22,United-States,<=50K -54,Private,279337,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,?,205011,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -58,Private,180779,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,Federal-gov,81973,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1485,40,United-States,>50K -56,Private,178353,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,138441,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,408383,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,230951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,215479,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,Haiti,<=50K -41,Private,41090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,60,United-States,<=50K -51,Local-gov,33863,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,218184,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -52,State-gov,21764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,140434,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,150817,12th,8,Never-married,Protective-serv,Own-child,White,Female,0,0,45,United-States,<=50K -27,Self-emp-not-inc,131298,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,214120,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,374924,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,204470,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,101192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,119793,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K -67,Private,366425,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,60,United-States,>50K -23,Private,212888,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,322171,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -46,Private,28074,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K -51,Private,357949,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,Private,143756,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,223861,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,301568,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,184435,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -22,State-gov,293364,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K -54,Private,146551,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,54,United-States,>50K -40,Self-emp-not-inc,355856,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -31,Private,104509,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -50,Private,189183,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,156951,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -29,Private,71860,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,270522,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,26,United-States,<=50K -36,Private,80743,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K -42,State-gov,367292,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-inc,161153,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,55,United-States,>50K -42,Private,218302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,100321,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -39,?,86551,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,189385,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K -33,Private,152933,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -72,Private,128793,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K -27,Private,159109,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K -54,Private,127704,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,238917,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K -38,Self-emp-not-inc,168826,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,150568,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -27,Private,156516,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,2377,20,United-States,<=50K -63,Private,458609,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,3674,0,30,United-States,<=50K -24,State-gov,147719,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -35,Private,112271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,41837,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -19,Private,418324,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,United-States,<=50K -39,Private,47871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K -23,Private,131230,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,50,United-States,<=50K -52,Private,110954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,El-Salvador,>50K -38,Private,53930,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -36,Self-emp-not-inc,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -27,Private,44767,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,520775,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,130513,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,Peru,<=50K -37,Private,187589,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5178,0,40,United-States,>50K -30,Private,169152,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,192381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -50,Private,256908,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -61,Local-gov,28375,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -61,Private,54780,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -45,Private,151817,Masters,14,Separated,Tech-support,Unmarried,White,Female,0,0,36,United-States,<=50K -41,Local-gov,307767,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,101444,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,411797,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,>50K -52,Private,120914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,66278,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,40,United-States,<=50K -26,Local-gov,150553,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -34,State-gov,112062,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,172046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Self-emp-not-inc,231180,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,83774,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2885,0,45,United-States,<=50K -37,Private,166115,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -22,Private,215395,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1602,10,United-States,<=50K -21,Private,194096,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,335168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -51,Private,147954,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3411,0,38,United-States,<=50K -61,Private,115023,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K -62,Self-emp-not-inc,71467,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -22,Local-gov,49414,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -41,Private,209899,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,497039,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,56,United-States,<=50K -18,Private,318190,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -28,Private,42881,10th,6,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -69,Local-gov,286983,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,188545,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,1974,20,United-States,<=50K -18,Private,232190,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,114059,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -38,Self-emp-not-inc,414991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,?,<=50K -56,Private,274111,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -20,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -47,Private,120939,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,307767,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,208946,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,208405,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -23,Private,122272,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -57,Private,143266,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,?,>50K -29,Private,134566,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -52,?,252903,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,>50K -32,Private,242654,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,1138,40,Honduras,<=50K -31,Private,118941,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -32,Self-emp-not-inc,321313,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,329130,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,192409,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,54782,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,138270,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -48,Local-gov,40666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,105907,1st-4th,2,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -32,Private,200401,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Columbia,<=50K -45,Private,166107,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,246829,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,118598,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,337778,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,36020,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,227325,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,73689,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -64,?,193575,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,236570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -63,Private,206052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,224357,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,186191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -56,Self-emp-not-inc,186651,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -60,Self-emp-not-inc,71457,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,8,United-States,<=50K -21,Private,211391,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K -44,Private,128676,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,360593,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -71,Private,150943,Bachelors,13,Widowed,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -24,Private,235720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -45,Local-gov,186375,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,302424,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K -65,Self-emp-not-inc,78875,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,40,United-States,<=50K -32,Private,279173,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,203204,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K -32,Private,176185,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,0,60,United-States,<=50K -49,Private,199029,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,55,United-States,>50K -72,Private,298070,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,6723,0,25,United-States,<=50K -44,Private,126199,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,1831,0,50,United-States,<=50K -38,Private,247547,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,193524,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -29,Private,177119,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2174,0,45,United-States,<=50K -24,Private,135267,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,143123,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,225660,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,389942,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,117012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -36,State-gov,180220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,113326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,89413,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,200603,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -44,Federal-gov,29591,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,2258,40,United-States,>50K -31,Private,84130,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -36,Private,146412,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,102346,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -36,Private,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,1484705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K -54,Private,77336,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,208503,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,171080,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -25,Local-gov,250770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,257175,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K -17,Private,56536,11th,7,Never-married,Sales,Own-child,White,Female,1055,0,18,India,<=50K -64,?,45817,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,160728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -35,Self-emp-not-inc,354520,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,59612,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K -27,Private,108574,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -78,?,165694,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -57,Private,214061,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,227392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,105779,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K -30,Private,340899,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1590,80,United-States,<=50K -48,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -53,Private,159650,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,82497,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -61,Private,199193,Assoc-acdm,12,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -53,Local-gov,283602,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -39,Private,322143,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,70,United-States,>50K -23,Private,49683,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -35,Local-gov,203883,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Self-emp-inc,105582,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -66,Self-emp-not-inc,34218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -29,Private,328981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Local-gov,36411,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -30,?,147215,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -64,Local-gov,113324,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,210026,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,208106,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K -58,Private,234481,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,82497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -20,State-gov,219211,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,63042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,249456,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,147230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,209230,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,116493,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -27,Private,29261,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,42,United-States,<=50K -37,Private,506830,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -42,Private,124692,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,162442,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,193385,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -21,Private,522881,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,?,357029,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,2105,0,20,United-States,<=50K -39,Private,141029,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -53,Federal-gov,130703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -46,Federal-gov,213140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -46,Private,155489,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -21,?,214810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -47,Self-emp-not-inc,333052,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K -29,Private,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -31,Private,248653,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,37,Mexico,<=50K -35,Private,65706,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,198316,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,193855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -33,Federal-gov,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,278187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,262749,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,192386,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,40,United-States,<=50K -61,Private,149620,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,50990,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,250135,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,55,United-States,<=50K -43,State-gov,506329,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K -29,Private,132686,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,283635,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Self-emp-not-inc,174463,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Local-gov,150309,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -29,Private,54932,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,>50K -33,Private,319422,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,Peru,<=50K -56,Self-emp-not-inc,214323,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,205931,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -22,Private,119742,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,178505,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,1504,45,United-States,<=50K -22,Private,326334,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -35,Self-emp-not-inc,462832,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K -20,Private,38455,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,102268,12th,8,Divorced,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,310255,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,121023,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,236907,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,158672,11th,7,Separated,Other-service,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K -29,Private,351902,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,34,United-States,<=50K -24,Private,174461,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,57233,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,119056,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,>50K -21,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -37,Federal-gov,188069,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Philippines,>50K -50,Private,136898,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,?,<=50K -48,Private,238360,Bachelors,13,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -29,Private,176037,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,14344,0,40,United-States,>50K -39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,113544,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,308874,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,?,127306,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,178615,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,233275,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,148015,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K -27,Private,126060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,112403,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,Private,35603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,150309,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -47,Private,122194,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,122749,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -46,Private,604380,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K -60,?,131852,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -57,Self-emp-not-inc,50990,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,325217,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -39,Private,108419,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,117779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,Hungary,<=50K -56,Private,436651,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -42,Private,165815,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,235853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,312055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -32,Private,101562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -17,Private,111593,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -38,State-gov,188303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,149396,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,30,Haiti,<=50K -58,Private,32365,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -18,?,311863,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,175331,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,201560,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -39,Local-gov,364782,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -36,Private,199217,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -38,Federal-gov,455379,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -39,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Private,105060,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -29,Private,66473,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -23,Private,74568,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,State-gov,216035,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,111128,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -63,Self-emp-inc,110610,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,322183,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,>50K -30,Private,172830,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,197886,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -49,Private,121124,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,102884,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -61,State-gov,130466,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -27,?,132372,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,?,<=50K -37,Private,291251,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,29523,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,388725,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,96062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,91525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,25,United-States,<=50K -24,Private,131230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,State-gov,71075,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -52,Private,117295,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -28,Private,410351,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,143774,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K -28,Private,167336,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -49,?,113913,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K -33,Private,205950,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -38,State-gov,34493,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,174752,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,109501,5th-6th,3,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,141003,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -37,Private,89718,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -43,?,405374,Some-college,10,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,591711,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K -24,Private,67222,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,China,<=50K -58,?,299831,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -51,Private,53833,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -38,Private,213260,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Federal-gov,32528,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,>50K -37,Private,385251,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,145441,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -64,Private,137135,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,100764,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,Private,98725,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -18,Private,238281,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,166304,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,33,United-States,<=50K -26,Federal-gov,171928,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Japan,<=50K -45,Private,54098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -43,Private,178780,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,Private,300838,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -27,Private,452963,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,194490,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -38,Private,85244,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,60668,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -40,State-gov,345969,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Private,75615,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,43,United-States,<=50K -43,Private,52498,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -57,Self-emp-not-inc,75785,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,173047,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,213,40,Philippines,<=50K -22,Private,188274,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,196337,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -45,Private,188386,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1628,45,United-States,<=50K -34,Local-gov,161113,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,178688,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,186682,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -25,Private,371987,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,176239,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,32406,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,20,United-States,<=50K -19,State-gov,176936,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -69,Private,185691,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -61,?,347089,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -56,State-gov,81954,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,150361,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,231688,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -33,State-gov,357691,Masters,14,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,220789,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,115429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -31,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,164954,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,42,United-States,<=50K -46,Self-emp-not-inc,366089,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -23,Private,384651,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,39212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,124827,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,192283,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -57,Private,43290,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -35,Private,183898,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -24,?,154373,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -33,Private,240441,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,139671,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,State-gov,282721,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,12,United-States,<=50K -35,Private,192626,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,349368,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -32,Self-emp-not-inc,261056,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,2174,0,60,?,<=50K -38,Private,299810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -52,Private,181901,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,20,Mexico,<=50K -50,Private,141592,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,265706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -40,Private,341835,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Private,105694,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K -59,?,199033,9th,5,Married-civ-spouse,?,Wife,Black,Female,0,0,32,United-States,<=50K -40,Private,235786,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -56,Private,147653,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -43,Private,269015,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Germany,>50K -21,Private,228255,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -52,Private,122412,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K -43,Private,302041,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -74,?,95825,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -50,Private,237258,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,48,United-States,>50K -28,Private,115464,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -34,Private,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,216411,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Puerto-Rico,>50K -41,Private,469454,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,?,184975,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Private,148709,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -56,Private,226985,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,165346,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,64,United-States,<=50K -50,Self-emp-not-inc,83311,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,13,United-States,<=50K -22,Private,124940,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,44,United-States,<=50K -22,Private,218886,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -23,Local-gov,442359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K -40,Private,234633,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,215251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Germany,<=50K -29,Self-emp-not-inc,132267,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,34248,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -32,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,153583,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,315423,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2042,50,United-States,<=50K -74,Private,101590,Prof-school,15,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -39,Private,183892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,113062,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K -45,Private,121676,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -64,State-gov,186376,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -28,Self-emp-not-inc,294398,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,196385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,163870,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,?,<=50K -52,Private,186303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,Canada,>50K -19,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -65,Self-emp-inc,208452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -34,Private,186824,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,?,105460,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,England,<=50K -52,Private,153751,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -47,Private,54260,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K -28,Private,173110,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,197947,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,58,United-States,<=50K -22,?,285775,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,268083,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,187505,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -21,Private,279472,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -54,Private,204397,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,252392,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,154835,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -55,Private,147653,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -48,Self-emp-not-inc,49275,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,50,United-States,<=50K -41,Private,184378,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,160674,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,303637,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K -23,Private,239663,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,2597,0,50,United-States,<=50K -52,Private,308764,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,38620,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -63,?,310396,9th,5,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,38,United-States,<=50K -71,Private,118876,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,14,United-States,<=50K -33,State-gov,220066,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K -21,Private,200121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,68898,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -32,Private,87310,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -22,Private,335067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -25,Private,250038,Masters,14,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K -29,Private,119004,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2179,40,United-States,<=50K -44,Local-gov,64632,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -47,Private,144351,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,36340,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -58,Self-emp-not-inc,248841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -35,Private,280966,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,247298,12th,8,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,20,United-States,<=50K -50,Private,410186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,?,278130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,175800,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -48,Private,182313,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,52498,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Private,209529,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -52,Private,112959,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,182616,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Private,383518,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,99999,0,40,United-States,>50K -57,Federal-gov,278763,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,220585,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,152307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,41,United-States,>50K -66,Private,127139,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,59496,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,125550,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -35,Private,194960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K -28,Private,412149,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -39,Private,181943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,208726,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -63,Private,200474,1st-4th,2,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,State-gov,270721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -51,Self-emp-not-inc,95435,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -39,Private,160728,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,2977,0,40,United-States,<=50K -43,State-gov,60949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,102193,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -64,Private,278515,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,119281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -66,?,117778,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -24,?,283731,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,138026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,143653,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,225739,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,139730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K -24,Private,211968,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -51,Self-emp-not-inc,136708,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3103,0,84,Vietnam,<=50K -51,Private,257337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,76491,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,33983,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -32,Private,228357,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K -34,Private,30433,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,406518,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,16,Yugoslavia,<=50K -45,?,189564,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K -30,Private,182833,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,146659,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,267965,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -23,Federal-gov,55465,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,190508,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K -50,Private,133963,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K -47,Private,153883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,45,United-States,>50K -37,Private,201531,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,113099,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,228881,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K -90,Private,313749,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -54,Local-gov,186884,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K -25,Local-gov,125863,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -49,Private,142287,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K -34,Private,112584,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -58,Local-gov,223214,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,123436,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,298435,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,Cuba,<=50K -26,Private,135521,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -22,Private,271274,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,96824,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,117963,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -18,Private,251923,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -32,Private,117963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -19,?,497414,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,Mexico,<=50K -39,Private,356838,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -22,Local-gov,34029,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -22,State-gov,134192,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -30,Federal-gov,127610,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Local-gov,149337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K -44,Local-gov,241506,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -37,Local-gov,247750,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,188300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K -33,Private,162572,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -52,Private,363405,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,208703,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Japan,<=50K -26,Private,111058,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -42,Private,155972,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -56,Private,365050,7th-8th,4,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,20,United-States,<=50K -28,Private,161607,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -17,?,256496,10th,6,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -41,Self-emp-not-inc,147110,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K -18,Private,192409,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,163620,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,84,United-States,>50K -29,Private,159768,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,Ecuador,<=50K -90,Private,137018,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,178160,Assoc-acdm,12,Widowed,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K -20,Private,204641,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -35,Self-emp-not-inc,455379,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -60,?,56248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,70,United-States,>50K -51,Self-emp-inc,180195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,299705,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,37,United-States,<=50K -40,Self-emp-not-inc,33658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,344128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Local-gov,180957,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -78,?,91534,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -32,Private,134679,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,133471,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,419146,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,75,Mexico,<=50K -20,Private,175069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Yugoslavia,<=50K -18,?,104704,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -28,Local-gov,135567,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,4101,0,60,United-States,<=50K -25,Private,189027,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,220788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,262153,11th,7,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,294870,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,57071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -52,Self-emp-not-inc,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,172186,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,289148,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,294263,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,9,United-States,<=50K -42,Self-emp-not-inc,120539,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,Private,411273,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,210736,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K -51,Private,203435,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Italy,<=50K -31,Local-gov,226494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Local-gov,201664,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,231826,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -33,Self-emp-not-inc,137674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,6,South,<=50K -20,Private,379198,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K -46,Private,51618,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -48,State-gov,77102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -73,?,180603,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -43,Federal-gov,157237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,133758,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K -51,Private,153870,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2603,40,United-States,<=50K -37,Self-emp-inc,39089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -34,State-gov,173266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Private,226902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -59,Federal-gov,31840,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Local-gov,318537,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,375931,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -45,Private,187226,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,32172,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,33975,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,118514,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,189565,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,182714,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,226535,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,379062,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K -31,Self-emp-not-inc,279015,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -44,Private,206878,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K -66,?,314347,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,52870,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -78,Private,135566,HS-grad,9,Widowed,Sales,Unmarried,White,Female,2329,0,12,United-States,<=50K -53,Self-emp-inc,116211,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,168556,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,352640,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,State-gov,155372,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Local-gov,273989,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,237432,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Self-emp-not-inc,390369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K -36,Private,196662,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,Puerto-Rico,<=50K -36,Private,220511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,256362,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K -67,?,106175,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -20,Private,34568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,35,United-States,<=50K -33,?,207668,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,90668,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,165858,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -39,Private,122032,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,184474,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2977,0,55,United-States,<=50K -35,Private,161496,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,State-gov,178818,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -21,State-gov,337766,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,186006,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -38,Private,181139,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K -29,Private,131714,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,25,United-States,<=50K -36,Private,272944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,101812,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,5721,0,40,United-States,<=50K -25,Private,44861,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,248059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K -51,Private,74784,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,State-gov,167474,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,36327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,?,375049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,41,United-States,>50K -27,Private,106935,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,104958,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -21,?,270043,10th,6,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K -35,Private,186009,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,101739,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -43,Private,266439,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,245378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,145917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,25,United-States,<=50K -68,State-gov,99106,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Local-gov,125892,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -40,State-gov,269733,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -35,Self-emp-inc,202027,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Private,86298,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,?,137632,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,45,Haiti,<=50K -33,Self-emp-not-inc,33308,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -77,Self-emp-inc,192230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,111209,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,41973,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K -19,?,385901,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K -60,Private,166330,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -56,Local-gov,52953,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,38,United-States,<=50K -26,Private,106548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,220595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,183000,Prof-school,15,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -27,Private,99897,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,37232,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -21,Private,211601,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Local-gov,147258,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,203051,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -23,Private,260617,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,93021,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,?,<=50K -60,Private,290922,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,27,United-States,<=50K -27,State-gov,205188,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,236684,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,8,United-States,<=50K -47,Private,94342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -23,Private,34431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,73988,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,258037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Cuba,>50K -56,Private,215839,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K -61,Private,180418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -51,?,203953,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -20,?,120820,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -38,Local-gov,196673,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K -43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,257405,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K -47,Self-emp-not-inc,213668,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -37,Private,356824,HS-grad,9,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Federal-gov,59951,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,19914,Some-college,10,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -23,Private,157951,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -53,Private,539864,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Private,273612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,199287,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,9,United-States,<=50K -24,Private,140500,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,102986,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,>50K -61,Private,357437,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,184078,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,86065,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,218542,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,174571,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K -30,Private,186932,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,75,United-States,>50K -62,Private,99470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Federal-gov,295010,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,60,United-States,>50K -35,Private,110402,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,172694,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -52,Private,192666,12th,8,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -58,Private,282023,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,?,556688,9th,5,Divorced,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -22,Local-gov,211129,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K -53,Private,167033,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,State-gov,298871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -52,Private,177647,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K -21,Private,143604,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -41,State-gov,539019,Some-college,10,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,281832,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -19,Private,283945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -27,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -51,Private,200576,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -56,State-gov,176538,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Local-gov,303485,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,166350,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Self-emp-not-inc,229125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,296158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,112658,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,42,United-States,<=50K -46,Private,275792,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,301199,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,65535,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -56,Federal-gov,97213,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Private,113364,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,169188,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -54,Private,317733,Doctorate,16,Widowed,Tech-support,Unmarried,White,Male,0,2472,40,United-States,>50K -43,Private,355728,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,56658,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K -67,Private,220283,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,274689,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,208068,Preschool,1,Divorced,Other-service,Not-in-family,Other,Male,0,0,72,Mexico,<=50K -20,Private,293297,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -20,Private,274545,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -31,Private,176360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,46514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -33,Private,172584,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1590,50,United-States,<=50K -47,Self-emp-not-inc,39518,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,132053,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1719,40,United-States,<=50K -50,Self-emp-inc,219420,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,State-gov,210295,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,29814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,286230,11th,7,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -47,Self-emp-not-inc,117865,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K -34,Private,214288,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,200922,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,162003,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,98980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -43,Private,228320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,248776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,25,United-States,<=50K -31,Self-emp-not-inc,348038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,Puerto-Rico,>50K -59,Private,174864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,45,United-States,>50K -48,Private,183610,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,144238,11th,7,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K -22,Private,155913,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -32,Private,326283,Bachelors,13,Never-married,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K -55,Private,200217,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,213716,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -55,Federal-gov,113398,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,190027,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,?,<=50K -41,Private,23646,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,225365,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -18,Private,195318,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,23,United-States,<=50K -37,Private,340614,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -51,?,130667,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,6,United-States,<=50K -48,Federal-gov,167749,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -21,Private,119039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,18,United-States,<=50K -50,Private,180439,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K -35,State-gov,210866,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,221336,HS-grad,9,Divorced,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -18,Private,165532,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -40,Private,145178,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Female,0,0,30,United-States,<=50K -48,Private,113211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -28,Self-emp-inc,160731,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,State-gov,127651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,145231,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,1762,40,United-States,<=50K -20,Private,47678,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,161386,9th,5,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K -57,Private,301514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,110028,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K -66,Private,134130,Bachelors,13,Widowed,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K -26,Private,322614,Preschool,1,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,1719,40,Mexico,<=50K -25,Private,219130,Some-college,10,Never-married,Other-service,Not-in-family,Other,Female,0,0,40,United-States,<=50K -40,Private,143069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,171231,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -46,Private,208872,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,317040,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,54,United-States,<=50K -41,Private,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K -28,Self-emp-not-inc,254989,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,234460,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K -53,Private,174655,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,145574,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,34095,0,60,United-States,<=50K -38,Self-emp-not-inc,176657,Some-college,10,Separated,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -45,Private,261192,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,201723,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,State-gov,103389,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K -20,Private,339588,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Peru,<=50K -29,Private,159788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -44,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,?,>50K -65,Self-emp-not-inc,132340,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,3,United-States,<=50K -58,State-gov,300623,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Local-gov,365430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Canada,>50K -21,Private,216070,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,46,United-States,>50K -20,?,424034,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -22,Private,400966,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,181020,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K -39,Private,165106,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1564,50,?,>50K -46,Self-emp-not-inc,254291,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -17,Private,369909,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -25,?,270276,9th,5,Separated,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K -24,Private,214956,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Self-emp-inc,223881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -58,?,158506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -60,Private,225526,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -44,Private,175669,11th,7,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,36,United-States,>50K -25,Private,197036,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,85019,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,>50K -37,Local-gov,312232,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,5178,0,40,United-States,>50K -29,Private,180758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,120029,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,357059,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -65,?,224472,Prof-school,15,Never-married,?,Not-in-family,White,Male,25124,0,80,United-States,>50K -25,Private,167571,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,96330,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,?,370727,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1977,40,United-States,>50K -47,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K -35,Local-gov,308945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,110142,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,101867,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -27,Private,106758,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -52,Self-emp-not-inc,30008,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,216479,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,42900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K -51,Private,25932,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -40,Self-emp-inc,182629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,250238,1st-4th,2,Never-married,Other-service,Other-relative,Other,Female,0,0,40,El-Salvador,<=50K -19,Private,208656,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K -39,Self-emp-inc,222641,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,98427,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K -27,Private,94064,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,88506,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K -28,Private,142712,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,62020,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Federal-gov,206927,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -25,Federal-gov,144259,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,257574,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -50,Private,107265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-inc,185366,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,382764,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,173382,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,162930,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Italy,<=50K -64,Private,477697,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -44,Private,36271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,351299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -44,Federal-gov,206553,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,115631,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,50,United-States,<=50K -67,Private,126361,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,9,United-States,>50K -40,Federal-gov,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,413110,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,15,United-States,<=50K -48,Private,501671,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K -59,Private,182062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -55,Private,226875,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -69,Self-emp-inc,69209,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3818,0,30,United-States,<=50K -42,Private,155899,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -17,Local-gov,292285,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,316797,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K -32,Private,207301,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,371103,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,198759,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,165475,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -43,Private,115932,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,307134,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -41,Private,142717,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,36,United-States,<=50K -56,Private,41100,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -41,Local-gov,207685,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K -17,Private,566049,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -24,Private,48343,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,197286,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,240374,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Private,33895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Self-emp-not-inc,437281,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -22,Private,212114,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,225142,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,148995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Private,183800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -42,Private,149909,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K -41,Private,529216,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Male,7430,0,45,?,>50K -26,Private,276624,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,317083,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -59,Private,187485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,State-gov,289909,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,202203,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K -40,Private,111829,Masters,14,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -67,Private,233022,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -59,Private,196126,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,171564,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,30,England,>50K -42,Self-emp-not-inc,104118,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,116298,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,?,180318,11th,7,Separated,?,Other-relative,White,Male,0,0,40,United-States,<=50K -53,Private,386773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,258406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Mexico,<=50K -43,Self-emp-not-inc,180599,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -60,Self-emp-inc,137733,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,44,United-States,>50K -42,Local-gov,266135,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,265954,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,151888,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,193815,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,48,United-States,>50K -29,Private,357781,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,62857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,544686,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,2907,0,40,Nicaragua,<=50K -41,Private,76625,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,83064,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,278736,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -20,State-gov,223515,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,1719,20,United-States,<=50K -49,Self-emp-not-inc,43348,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,70,United-States,>50K -36,Private,158363,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,414545,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,202373,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K -37,Private,161141,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K -36,Private,216845,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -33,Self-emp-not-inc,196480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,309033,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,60,United-States,>50K -25,Federal-gov,50053,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,181553,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,317219,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1590,40,United-States,<=50K -51,Private,177669,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,114865,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,217455,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,34574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,156192,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -39,State-gov,119421,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,625,35,United-States,<=50K -35,State-gov,213076,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,215479,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,265662,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,114292,11th,7,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Local-gov,46094,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,33,United-States,<=50K -49,Federal-gov,276309,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,242488,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K -47,Self-emp-inc,201699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K -43,State-gov,33331,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -29,Private,267989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -17,?,74685,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -36,Private,182189,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,139057,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -30,Private,112383,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,171438,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Private,221533,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,40052,Some-college,10,Never-married,?,Not-in-family,White,Male,0,2001,45,United-States,<=50K -45,Private,54038,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,20,United-States,>50K -21,?,77665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -20,State-gov,178628,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,151382,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,399601,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -18,Private,31983,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,156464,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,162758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K -47,Self-emp-not-inc,84735,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -21,?,277700,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,160512,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Federal-gov,104164,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,100863,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -20,Private,226978,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -35,Self-emp-inc,187053,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,422933,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K -45,Private,101656,10th,6,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -20,Private,124751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -34,Local-gov,134886,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1740,35,United-States,<=50K -24,Private,249351,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,34019,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -59,?,372020,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -27,Private,38918,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1876,75,United-States,<=50K -48,Federal-gov,71376,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,415922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,<=50K -32,Private,281219,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,1380,40,United-States,<=50K -52,Private,203635,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,65,United-States,>50K -65,Private,150095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,344094,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,317660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -35,Private,104329,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Federal-gov,243612,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Local-gov,123325,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Federal-gov,57629,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Male,4650,0,40,United-States,<=50K -56,State-gov,466498,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -24,Private,283806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,455379,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,105516,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,177989,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,60,United-States,<=50K -46,Private,147640,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1902,40,United-States,<=50K -41,Private,43711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,57889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -42,Private,198619,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,398662,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,243240,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,37,United-States,<=50K -23,Private,252153,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -46,Private,279661,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K -40,Self-emp-inc,301007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,82566,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -36,Federal-gov,218542,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -29,Private,175639,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -37,Private,198097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -44,Private,174373,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -73,Self-emp-not-inc,109833,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,138283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,231148,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -23,Private,227943,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -51,Private,40641,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,335533,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -58,Private,175127,12th,8,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Private,152452,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,208358,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -25,Private,211424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,149396,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Private,182313,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -29,State-gov,160731,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Germany,<=50K -24,Private,241523,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -24,Private,246207,Bachelors,13,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,190482,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,159028,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -18,?,23233,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,209569,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K -41,Self-emp-not-inc,171003,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -29,?,51260,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,241935,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,7688,0,40,United-States,>50K -38,Private,187046,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,360689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,321369,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,80145,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,72967,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -74,Self-emp-inc,162340,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,208778,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -43,Private,170230,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,229287,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,25,United-States,<=50K -20,Private,190273,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -53,Private,189511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,328466,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,172146,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1721,40,United-States,<=50K -24,Private,50400,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -41,Federal-gov,207685,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Local-gov,218184,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -51,Self-emp-inc,103995,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -24,Private,213427,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,210008,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,105749,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,177499,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,1590,35,United-States,<=50K -22,Private,189277,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,206609,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2205,60,United-States,<=50K -44,State-gov,185832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -27,?,168347,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,72338,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -30,Private,299223,Some-college,10,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -29,Private,262208,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,Jamaica,<=50K -48,Private,75619,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,60,United-States,<=50K -52,Private,208302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,231793,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,191765,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,2339,40,Trinadad&Tobago,<=50K -22,Private,213902,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -36,State-gov,340091,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -39,Private,129495,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,332194,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -27,Private,189565,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,189439,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -49,Private,81654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Private,129777,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,221196,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,291300,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -28,Local-gov,213195,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,State-gov,481096,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,10,United-States,<=50K -59,Private,214865,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Private,147889,10th,6,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -68,Private,224338,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -44,Private,104196,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,167350,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,144798,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,183810,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -76,?,191024,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -61,Self-emp-inc,156653,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -60,Private,75726,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1092,40,United-States,<=50K -25,?,335376,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -62,Private,153148,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,84,United-States,<=50K -46,State-gov,106705,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Private,180019,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,44797,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,15,United-States,<=50K -68,?,65730,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -36,Private,188834,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,175254,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,42703,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,164991,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -52,Private,288353,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,48,United-States,>50K -47,Private,214702,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,Puerto-Rico,<=50K -47,Private,161187,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,93169,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,323385,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -48,Private,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -44,Private,195881,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K -42,Private,54202,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,50,United-States,>50K -60,Self-emp-not-inc,88570,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,Germany,>50K -41,Self-emp-not-inc,143046,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,50,United-States,>50K -46,Private,45363,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2824,40,United-States,>50K -55,Private,194290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,151474,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,?,<=50K -42,Private,40151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -23,State-gov,142547,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,209205,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -20,?,322144,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,114988,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,427965,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -31,State-gov,123037,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,United-States,<=50K -61,Private,191417,9th,5,Widowed,Exec-managerial,Not-in-family,Black,Male,0,0,65,United-States,<=50K -34,Private,240979,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,80,United-States,<=50K -41,State-gov,175537,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K -55,Private,368727,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,175052,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,?,80680,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,231738,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,England,<=50K -45,Private,102147,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,169628,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,?,<=50K -26,Self-emp-inc,266639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,83492,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,277886,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -34,Private,97355,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -42,Local-gov,186909,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -44,Self-emp-inc,195124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K -46,Private,337050,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -33,Self-emp-not-inc,193246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,France,<=50K -21,Private,116657,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,176185,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Iran,<=50K -46,Private,192963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,2415,35,Philippines,>50K -72,?,166253,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,<=50K -21,Private,394484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,100109,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -33,Private,212918,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,70,United-States,<=50K -70,?,92593,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -38,Private,165466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K -44,Private,212894,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Greece,<=50K -28,Private,37359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -53,Private,87158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,199741,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,2001,35,United-States,<=50K -27,Local-gov,68729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -39,Local-gov,178100,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,205733,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,115023,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,141118,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,>50K -50,Local-gov,124076,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -22,Private,100345,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,13550,0,55,United-States,>50K -30,Private,225243,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -49,Self-emp-not-inc,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Private,235431,Preschool,1,Never-married,Sales,Unmarried,Black,Female,0,0,40,Haiti,<=50K -27,Self-emp-not-inc,147452,10th,6,Never-married,Sales,Own-child,White,Female,0,0,48,United-States,<=50K -35,Private,38948,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,184806,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,328937,7th-8th,4,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -19,Private,129151,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Federal-gov,137814,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -20,Private,33087,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,259583,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,308798,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,189461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -55,Private,105582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K -58,Private,289364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -24,Private,174461,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -19,Private,376540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Self-emp-inc,124950,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,184456,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K -45,Private,368561,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -56,Private,250873,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,204450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,154966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -51,Private,92463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,353824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -55,Private,181974,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,423297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,200374,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K -43,Self-emp-inc,25005,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,117523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Columbia,<=50K -32,Private,93930,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Local-gov,215990,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,234633,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K -50,Private,158948,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -43,Private,40024,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,42,United-States,<=50K -26,State-gov,272986,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,8,United-States,<=50K -32,Private,155151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -26,Self-emp-not-inc,117125,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -43,Self-emp-not-inc,75993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,42069,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2176,0,45,United-States,<=50K -42,Local-gov,335248,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -22,Private,100235,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,237713,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,230429,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,207853,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K -55,Private,202220,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,2407,0,35,United-States,<=50K -43,Private,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K -62,?,268315,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,196816,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,103358,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,India,<=50K -36,Private,23892,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -45,Private,259323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,105252,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,69182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -47,Self-emp-not-inc,318593,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -57,Private,204209,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -43,Private,244172,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -31,Private,297188,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -37,Self-emp-not-inc,164526,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,45,United-States,>50K -28,Private,177119,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,80,?,<=50K -35,Private,133839,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -34,?,170276,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,>50K -52,Private,338816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -36,Private,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,Local-gov,160943,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,127930,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,53181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -46,Federal-gov,219293,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K -27,Private,112754,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,>50K -39,Private,326342,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,2635,0,37,United-States,<=50K -51,Local-gov,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -30,Private,119411,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,95551,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -57,Private,158077,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,206008,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,50,United-States,<=50K -56,Private,392160,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,25,Mexico,<=50K -24,?,214542,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,119287,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,28,United-States,>50K -28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,309634,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K -25,Private,227548,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,3103,0,40,United-States,<=50K -51,Private,101432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,77462,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Self-emp-inc,33729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -49,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -49,Private,139268,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,115759,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,320047,10th,6,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,403489,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,168845,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K -22,Private,173736,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,State-gov,98037,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -39,Private,206888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,203924,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -39,Private,401832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -65,Private,266828,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,1848,0,40,United-States,<=50K -45,State-gov,185797,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,3325,0,60,United-States,<=50K -47,Private,198200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,176756,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,93208,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,75,Italy,<=50K -60,Private,182687,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,214468,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,284898,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K -26,Private,108658,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,179400,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,20,United-States,<=50K -37,Self-emp-inc,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,193246,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,225978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -27,Private,247711,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2258,55,United-States,<=50K -19,Private,311974,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,Mexico,<=50K -45,Private,242994,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -40,Private,409922,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -52,Self-emp-not-inc,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -46,Self-emp-inc,62546,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -40,Private,140559,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,45,United-States,<=50K -27,Private,357348,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -21,Self-emp-not-inc,103277,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,4508,0,30,Portugal,<=50K -21,Private,399022,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -53,Private,214691,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -17,Private,151141,12th,8,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,246117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -35,Private,79050,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,72,United-States,<=50K -57,Private,130714,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,<=50K -29,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K -25,Private,66935,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,205724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K -22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -63,Private,177063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,164966,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -42,Local-gov,267252,Masters,14,Separated,Exec-managerial,Unmarried,Black,Male,0,0,45,United-States,>50K -31,?,505438,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,Mexico,<=50K -40,State-gov,391736,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,135645,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,305147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,193524,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,20511,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,188279,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -27,Private,110663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -23,Private,218215,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -50,Private,95469,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K -41,Private,197033,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,93174,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -23,Private,64520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -50,Private,201984,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,146674,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,117917,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,115323,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K -25,Federal-gov,169124,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,569930,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -44,Private,106682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,133144,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,86808,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -42,State-gov,178897,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,40,United-States,<=50K -30,Private,149787,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,258836,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,142875,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -55,Self-emp-not-inc,79011,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,70,United-States,<=50K -79,?,76641,Masters,14,Married-civ-spouse,?,Husband,White,Male,20051,0,40,Poland,>50K -39,Private,35890,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Private,178649,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,France,<=50K -18,Federal-gov,201686,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K -47,Private,239865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,45,United-States,>50K -38,Private,156550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,77905,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -44,Local-gov,124692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -25,State-gov,319303,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,2472,40,United-States,>50K -68,Private,230904,11th,7,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,1870,35,United-States,<=50K -53,Private,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,183151,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -20,Private,177287,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,156580,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -24,Private,140001,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,94214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,50,Thailand,>50K -39,Private,366757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -63,Private,162772,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K -19,Private,127709,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K -44,Private,403782,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Self-emp-not-inc,167280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,249932,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -44,Private,290521,HS-grad,9,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,124420,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,382583,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -28,Private,584790,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,22933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,122747,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-inc,190290,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K -68,?,133758,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,10,United-States,<=50K -41,Private,254440,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -38,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Private,376548,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,159623,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,342730,Assoc-acdm,12,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,185452,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,Private,145637,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,14344,0,48,United-States,>50K -47,Self-emp-not-inc,77102,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,198759,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -42,Private,152676,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -58,State-gov,299680,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,43,United-States,>50K -19,Private,121972,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,239439,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,132601,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -24,Private,94395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Private,144056,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,377757,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -23,Self-emp-not-inc,40323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-inc,140365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -17,Private,126771,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,7,United-States,<=50K -19,Private,351802,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -61,?,72886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,38,United-States,>50K -25,Private,198163,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,89737,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -24,State-gov,413345,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -19,Private,376240,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K -64,Private,218490,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K -55,Self-emp-not-inc,105239,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,60,United-States,<=50K -21,Private,512828,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -70,Private,113401,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,164707,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,?,<=50K -43,Private,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Private,221797,12th,8,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K -60,Private,198727,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -19,?,505168,9th,5,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -42,Private,233366,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,3103,0,40,Mexico,>50K -26,State-gov,252284,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,156493,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -56,?,154537,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,>50K -29,Local-gov,133327,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,?,201062,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,2,United-States,<=50K -53,Private,186303,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,182237,10th,6,Separated,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -36,State-gov,212143,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -30,Private,203488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,189530,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,254293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,314440,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,217517,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K -32,Private,29312,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,111336,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,28,United-States,<=50K -34,Private,106014,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Private,140752,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -19,State-gov,156294,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -51,Private,199995,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -57,Private,81973,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,15024,0,45,United-States,>50K -27,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -41,Private,122626,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K -39,Private,315565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Cuba,<=50K -40,Private,362482,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,385646,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,167882,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K -49,Private,151584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -47,Federal-gov,87504,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -42,Local-gov,189956,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K -43,Self-emp-inc,196945,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,78,Thailand,<=50K -39,Private,38721,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,22,United-States,<=50K -34,Private,213307,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,7443,0,35,United-States,<=50K -45,Private,140644,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -39,Private,145933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K -47,Self-emp-inc,123075,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,198587,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,2174,0,50,United-States,<=50K -35,Private,203482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,283602,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,13550,0,43,United-States,>50K -25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -35,Private,61518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -46,Private,175925,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,317360,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -23,Private,496856,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -44,Private,268039,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -47,Local-gov,174126,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,243436,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,?,203076,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,387430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K -47,Federal-gov,26145,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,144071,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,15,El-Salvador,<=50K -28,Private,114072,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,?,199114,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,State-gov,191355,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,126060,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,36,United-States,>50K -25,Private,281209,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,65,United-States,<=50K -41,Private,173316,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,73037,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K -22,Private,198956,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Other,Male,0,0,35,United-States,<=50K -45,Local-gov,334039,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,247276,7th-8th,4,Widowed,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K -61,State-gov,224638,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,38797,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,99357,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Self-emp-inc,115487,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,118972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,271710,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,?,281668,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -51,Local-gov,241843,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,278155,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,36376,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,50748,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,England,<=50K -36,Private,90159,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -40,Private,101593,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,355954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,50028,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,116554,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -63,Local-gov,168656,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,35,Outlying-US(Guam-USVI-etc),<=50K -32,Private,42617,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Private,204629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Private,150768,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1564,51,United-States,>50K -34,Private,189759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -32,Private,177695,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K -50,Private,75763,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -42,State-gov,109462,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K -26,Private,421561,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -23,Private,462294,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,44,United-States,<=50K -51,Private,332243,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,201404,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K -33,Self-emp-not-inc,359428,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,87546,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,506436,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K -41,Federal-gov,106982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -54,Private,87205,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Private,205390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,<=50K -19,Private,283945,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1602,45,United-States,<=50K -47,Private,195978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,107242,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,?,<=50K -47,?,214605,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,169785,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,<=50K -47,Private,105381,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,172612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,213226,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -47,Private,165484,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -44,Self-emp-not-inc,157237,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -45,Private,201865,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -57,Private,353881,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,362787,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,160916,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,45,United-States,<=50K -52,Private,24185,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,84,United-States,<=50K -61,Private,194956,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,182390,11th,7,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,33117,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -26,Private,242150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -35,?,139854,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -43,Private,110556,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,366154,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Self-emp-inc,264554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,40,United-States,>50K -45,Private,199832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -29,Private,37359,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -43,Private,211860,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K -51,Self-emp-not-inc,99185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,127610,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -75,Self-emp-not-inc,157778,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,15831,0,50,United-States,>50K -29,Private,246974,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,171156,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -22,Private,136767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -56,Private,174533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -34,Self-emp-not-inc,175697,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K -27,Private,153589,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,172493,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K -37,Private,148581,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -30,Private,155914,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,89326,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,62605,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,379525,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -62,?,139391,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Ireland,>50K -45,Self-emp-not-inc,28119,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K -27,Private,292120,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -42,Private,306982,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -27,Private,284250,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -33,State-gov,43716,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K -50,Private,279461,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -44,Private,152150,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,200355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -68,Private,123653,5th-6th,3,Separated,Other-service,Not-in-family,White,Male,0,0,12,Italy,<=50K -46,Private,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,191069,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,182460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -47,Self-emp-not-inc,181405,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -38,Private,186959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,265661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,204098,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K -33,Private,609789,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,51985,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,99339,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,880,40,United-States,<=50K -46,Private,109209,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,108837,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -25,Private,120238,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K -24,Private,283092,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K -50,State-gov,116211,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -48,Private,255439,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,266860,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -41,Private,271753,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,158615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,193374,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -43,Private,351576,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -76,Self-emp-not-inc,237624,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -40,Private,184857,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,189186,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,359249,Assoc-voc,11,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Private,119177,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Private,89003,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -37,Self-emp-inc,57424,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Self-emp-not-inc,176185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,Japan,>50K -36,?,157278,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,410216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,163678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,?,117618,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,193995,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -26,Self-emp-inc,384276,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -35,Private,341643,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -45,Private,163174,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -29,Private,201954,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -30,Private,161572,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -53,Private,165745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,?,142158,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -42,Private,262243,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -19,State-gov,159269,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -34,Private,376979,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,200453,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,37720,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -33,?,211699,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,112497,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,Ireland,<=50K -30,Private,213722,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -17,Private,40299,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -41,Private,107584,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,Private,178478,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,412248,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,Private,32008,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,72,United-States,<=50K -19,Private,138917,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -37,Private,230035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -23,Private,1038553,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K -43,Local-gov,96102,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -41,Private,199018,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,188386,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,51198,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,141957,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,168232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K -53,Private,233369,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,314894,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -29,Private,115438,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -24,Local-gov,84257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -67,Private,105252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,7978,0,35,United-States,<=50K -25,Private,220220,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,47,United-States,<=50K -60,State-gov,69251,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,China,>50K -42,Private,70055,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,124111,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,89718,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,251292,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,20,Cuba,<=50K -28,Private,75695,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -27,Private,587310,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,Guatemala,<=50K -49,Private,121253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1564,40,United-States,>50K -38,Private,338320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K -58,Private,94741,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -20,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,300871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,162643,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -49,Self-emp-not-inc,199590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Mexico,<=50K -27,Private,404421,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -60,Private,298967,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -33,Private,261511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,200577,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -23,Private,102729,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -28,Local-gov,336951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -22,Private,124971,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,State-gov,273905,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,158924,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,117849,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,?,115880,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -31,Private,289731,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,Private,176101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,158762,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -31,Private,328199,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K -19,Private,124265,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,State-gov,31627,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K -41,Federal-gov,214838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Private,86143,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -61,Federal-gov,294466,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,101562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,55,United-States,<=50K -34,Private,207301,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -20,Private,105312,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -45,Private,118714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,316211,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -20,?,53738,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -22,Private,403519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,22186,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,175515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,202033,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,100049,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Private,191930,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,138940,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -20,Private,333505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Nicaragua,<=50K -60,Private,56248,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,197424,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K -42,Private,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,382146,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Private,109075,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5013,0,48,United-States,<=50K -36,Local-gov,331902,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -49,State-gov,336509,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,224097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,356823,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,10520,0,40,United-States,>50K -33,Private,399088,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,92036,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,192399,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -26,Private,61270,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Columbia,<=50K -43,Private,182437,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -73,Private,39212,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -53,Private,94081,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -37,Private,334291,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,2258,40,United-States,<=50K -35,Private,187089,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K -42,Local-gov,222596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,State-gov,148306,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,27053,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,181388,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,200734,HS-grad,9,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,50,Nicaragua,<=50K -55,Private,184948,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,117814,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -46,Self-emp-inc,120902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,37,United-States,>50K -41,Private,22201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -64,?,104756,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,8,United-States,<=50K -22,Private,258509,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,24,United-States,<=50K -45,Local-gov,56841,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,60,India,<=50K -57,Private,249977,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,170230,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,242984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -38,Private,187870,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -46,Private,423222,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,60,United-States,>50K -47,Self-emp-not-inc,171968,Bachelors,13,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,60,Thailand,<=50K -64,Private,239450,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -56,Self-emp-not-inc,53366,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -28,Self-emp-not-inc,115945,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,68985,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -39,Private,67433,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,32,United-States,<=50K -48,Private,83407,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -51,Private,178693,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,125461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,163380,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,79627,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K -20,Private,50397,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -35,Private,81280,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Yugoslavia,>50K -50,Private,36480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,295163,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Local-gov,175586,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,20,United-States,<=50K -55,Private,125000,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -58,Private,218724,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,74706,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,243580,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -59,Private,24384,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,166977,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -50,Self-emp-not-inc,401118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,United-States,>50K -24,Private,308205,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,281743,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,337953,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K -23,Private,178818,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,120629,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -33,?,193172,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,7688,0,50,United-States,>50K -18,?,126154,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,132586,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -17,Private,438996,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -28,Private,189407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,226696,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -55,Private,89690,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -57,Private,174662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,234190,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,170649,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,90934,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K -48,State-gov,176917,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,328606,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Local-gov,212050,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,126568,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,101113,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,66,United-States,>50K -24,Local-gov,387108,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,31657,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -42,Private,166740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K -38,Private,354739,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,36,Philippines,>50K -57,Private,199934,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,317528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,34,United-States,<=50K -33,Private,168981,Masters,14,Divorced,Exec-managerial,Own-child,White,Female,14084,0,50,United-States,>50K -27,Private,41099,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Federal-gov,157313,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,447346,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K -28,Private,30912,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,358975,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,Hungary,<=50K -34,Private,215124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,205469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,191777,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K -38,Private,682947,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -18,Private,137363,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,370549,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K -26,Private,158734,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Private,112305,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Local-gov,188612,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,78171,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -41,Federal-gov,73070,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,194962,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K -26,Private,53833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -69,Self-emp-not-inc,107548,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,133060,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,148316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,292370,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,?,>50K -48,Private,117310,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,60,?,<=50K -31,Local-gov,178449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,37821,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -41,Private,169823,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -26,Private,196899,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,Other,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,26911,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,66,United-States,<=50K -26,Self-emp-not-inc,163189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,171424,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,174503,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,187601,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,126161,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,317313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -45,Private,192835,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,99307,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K -57,Self-emp-not-inc,190554,10th,6,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,>50K -46,Self-emp-not-inc,245724,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,282092,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,308498,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K -30,Private,327112,11th,7,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,211049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -47,Private,199058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,521400,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -43,Local-gov,67243,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -19,Private,254247,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,?,<=50K -48,Private,219565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,213152,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,52,United-States,<=50K -26,Private,192262,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -48,Private,102202,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -63,Private,266083,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -29,Private,272715,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Local-gov,216414,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -36,State-gov,177064,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,109419,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,145175,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K -25,Private,344804,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Mexico,<=50K -24,Private,478457,11th,7,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K -20,Private,260254,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,?,73117,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K -22,Private,34747,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -60,Self-emp-not-inc,235535,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -50,Private,43764,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -67,Private,268781,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1510,8,United-States,<=50K -41,Local-gov,47902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Self-emp-not-inc,253899,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,37933,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K -50,Private,173754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,149368,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,337908,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,20,United-States,<=50K -28,Private,152951,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,218015,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -68,Local-gov,254218,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -24,Private,200593,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,123785,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,75,United-States,<=50K -42,Private,104973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,136028,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -45,Private,198223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -38,Private,111377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -55,State-gov,337599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,54744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -44,Local-gov,107845,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Female,0,0,56,United-States,>50K -64,?,187656,1st-4th,2,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -66,?,68219,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,152420,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K -35,Local-gov,162651,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -34,Private,169564,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,193026,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -32,Private,72887,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -29,Self-emp-inc,263786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Self-emp-inc,98756,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -30,Private,235847,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -25,Private,177221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -54,Private,37237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,197377,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -69,?,156387,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -54,?,133963,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,96055,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -32,Self-emp-inc,191385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K -45,Private,193407,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -44,Self-emp-not-inc,104196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K -20,Private,147523,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -55,?,389479,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -29,Private,176137,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Local-gov,268722,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -38,Local-gov,273457,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,Private,132601,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,111957,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K -63,Private,75813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -31,Self-emp-not-inc,113752,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,111423,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -51,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,84673,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,>50K -67,Private,221281,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -36,Private,36989,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,224658,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -29,Private,405177,10th,6,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,172307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -60,Private,427248,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,47589,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -38,?,139770,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,48,United-States,>50K -52,Private,259363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -52,Local-gov,175339,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-inc,289224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,186272,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,325538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -54,Private,165278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,107123,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,300373,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,76878,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -56,Private,659558,12th,8,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,315470,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -46,Local-gov,183168,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -53,Private,90624,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -69,?,138386,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K -25,Private,193787,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -20,Private,183594,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,244172,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,151616,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,174754,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,State-gov,354529,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,456922,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,State-gov,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K -30,Private,171483,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K -22,Private,190625,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -50,Private,240374,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,316702,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -56,Local-gov,435836,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,167482,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -49,Private,34377,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,198613,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,4650,0,40,United-States,<=50K -55,Local-gov,253062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Private,178792,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,183096,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,126991,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -38,Private,123833,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1408,40,United-States,<=50K -35,Private,26999,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -37,Private,545483,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,111567,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,325159,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,124242,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,159008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -54,Self-emp-not-inc,155496,Some-college,10,Never-married,Other-service,Unmarried,White,Female,2176,0,40,United-States,<=50K -44,Private,187821,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -19,Private,187352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,State-gov,162852,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,158416,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,48087,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,2354,0,40,United-States,<=50K -23,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,87284,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,362883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K -30,Local-gov,40338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,41763,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -53,Private,177916,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,173495,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -47,State-gov,304512,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Private,34378,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,60,United-States,<=50K -42,Private,245317,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,121889,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -74,State-gov,88638,Doctorate,16,Never-married,Prof-specialty,Other-relative,White,Female,0,3683,20,United-States,>50K -36,Private,224531,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Private,233197,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Self-emp-inc,446724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,386726,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,44,United-States,>50K -40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,208458,HS-grad,9,Divorced,Sales,Unmarried,Other,Female,0,0,40,Mexico,<=50K -47,Private,85109,Some-college,10,Never-married,Sales,Not-in-family,White,Male,13550,0,45,United-States,>50K -47,Self-emp-not-inc,479611,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,?,154236,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7688,0,40,United-States,>50K -62,State-gov,159699,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -20,Private,262877,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K -38,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,45,United-States,>50K -43,Self-emp-not-inc,160369,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,25,United-States,<=50K -41,State-gov,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K -23,Local-gov,258120,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,191277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -64,?,232787,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,192866,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,67759,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K -54,Private,183248,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,193434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -55,Private,335276,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,241752,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,162667,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K -37,Private,108282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,204461,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -26,Private,96645,Doctorate,16,Never-married,Craft-repair,Other-relative,Black,Male,0,0,20,United-States,<=50K -30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,204405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -31,State-gov,223376,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,78954,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K -19,?,225775,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Local-gov,99554,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,80933,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,110331,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,60,United-States,<=50K -46,Private,39363,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,?,<=50K -38,Self-emp-not-inc,198867,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,132973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -50,Local-gov,363405,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,236222,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,410009,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,?,246219,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2105,0,40,United-States,<=50K -38,State-gov,142282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,48160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,111916,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,>50K -30,Private,103435,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,80680,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -59,Private,128258,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -50,Private,135465,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,150324,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,131808,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -60,?,147393,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -51,Private,275507,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,50,United-States,<=50K -28,Private,435842,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,99761,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -40,Private,385266,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -44,Private,67874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,625,50,United-States,<=50K -38,Private,136931,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,38,Thailand,<=50K -52,Private,137984,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -35,State-gov,238591,Some-college,10,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,125550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,160178,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -20,Private,126038,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,142766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -41,Private,97632,Some-college,10,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K -47,?,127441,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,42,United-States,<=50K -49,Private,128736,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,177951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -28,Private,239539,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -28,Private,82531,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,59460,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,264874,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,223811,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,23,United-States,<=50K -27,Private,50316,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,91355,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,22245,Bachelors,13,Married-civ-spouse,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Private,171242,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,218653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,190387,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -40,State-gov,150533,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,34722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -45,Local-gov,153312,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,>50K -39,Private,74194,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,1721,45,United-States,<=50K -39,Private,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -49,?,350759,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,117789,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,237920,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,325033,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,35,United-States,<=50K -34,Private,175878,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,31732,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,183388,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Local-gov,207668,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,>50K -51,Private,182944,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Local-gov,407495,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -26,State-gov,326033,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,<=50K -54,Local-gov,224934,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -67,Private,236627,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,2,United-States,<=50K -31,Local-gov,206609,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,1876,40,United-States,<=50K -18,Self-emp-not-inc,258474,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,96249,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K -17,Private,166360,10th,6,Never-married,Craft-repair,Own-child,White,Female,0,0,30,United-States,<=50K -47,Private,114882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,207824,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,554206,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,Philippines,<=50K -75,?,260543,10th,6,Widowed,?,Other-relative,Asian-Pac-Islander,Female,0,0,1,China,<=50K -26,Private,206199,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Private,85440,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -53,State-gov,119570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,Private,139715,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,365430,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -18,Private,209792,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,215504,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,43206,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -50,Private,88926,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K -44,Private,121012,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K -34,Private,200192,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,128354,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,161662,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,4650,0,40,United-States,<=50K -55,Private,181242,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -39,Private,205997,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K -32,Private,114937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K -18,Private,36162,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K -21,Private,75763,Some-college,10,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -54,Private,161147,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K -52,Self-emp-not-inc,189216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -42,Self-emp-not-inc,93853,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,188515,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,181280,Masters,14,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -46,Self-emp-not-inc,225065,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,45,Nicaragua,<=50K -39,Private,257726,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,121718,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,<=50K -34,Private,90409,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,236197,12th,8,Widowed,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Guatemala,<=50K -24,Private,64520,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -58,Local-gov,98361,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -55,Local-gov,98545,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,278391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K -45,Local-gov,384627,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,2580,0,18,United-States,<=50K -59,?,145574,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -26,Local-gov,220656,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,38,England,<=50K -27,Private,116207,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -58,State-gov,109567,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,1,United-States,>50K -26,Federal-gov,269353,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,55,United-States,<=50K -43,Private,307767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,54022,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -58,State-gov,185338,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,>50K -53,Private,48641,12th,8,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K -30,Private,39054,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,200479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,108496,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,29662,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -63,Federal-gov,101996,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Private,36023,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -38,Local-gov,223004,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,75,United-States,<=50K -51,?,243631,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,2105,0,20,South,<=50K -45,Self-emp-not-inc,355978,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -21,Private,232591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,82297,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -32,Private,84179,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,297155,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Local-gov,101119,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -23,State-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -42,Private,602513,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,98605,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,220840,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,695411,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -55,Private,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -62,Private,96460,HS-grad,9,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,191342,Some-college,10,Never-married,Sales,Not-in-family,Other,Male,0,0,40,India,<=50K -34,Private,366898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -40,Local-gov,174395,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -60,?,191024,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,525848,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,United-States,<=50K -40,Private,111483,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -55,Private,147653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,73,United-States,<=50K -45,Private,174127,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,256723,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -22,Private,177107,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -21,Private,191243,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,182217,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Scotland,<=50K -31,Private,54318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,65876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,202822,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,14,Trinadad&Tobago,<=50K -30,Private,95639,11th,7,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -72,Private,157913,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,17,United-States,<=50K -28,Private,411950,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,263925,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,State-gov,105943,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K -49,Local-gov,298445,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,60,United-States,>50K -17,Private,401198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -44,Private,160919,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -49,Private,81535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -39,Private,305597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Local-gov,160586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,86298,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,205838,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -47,Private,456661,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -41,State-gov,29324,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -51,Private,162238,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K -35,Self-emp-inc,242080,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -29,Private,70100,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Portugal,<=50K -50,Local-gov,339547,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,>50K -46,State-gov,104908,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -67,Private,172756,1st-4th,2,Widowed,Machine-op-inspct,Not-in-family,White,Female,2062,0,34,Ecuador,<=50K -42,Local-gov,195124,11th,7,Divorced,Sales,Unmarried,White,Male,7430,0,50,Puerto-Rico,>50K -32,Private,111883,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,102178,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -34,Self-emp-not-inc,96245,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,166809,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -40,Self-emp-not-inc,121012,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -31,Self-emp-not-inc,132705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,64292,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -33,Local-gov,161942,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,1055,0,40,United-States,<=50K -51,Private,123011,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,50,United-States,>50K -41,Self-emp-not-inc,38876,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,284277,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K -50,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,101173,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,271665,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,76317,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -48,Private,233802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K -32,Private,236318,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K -39,Self-emp-inc,163237,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -35,Private,241998,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,186824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-inc,544268,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -52,Local-gov,124793,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,230238,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,46,United-States,<=50K -53,Private,58535,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,196943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,129573,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -59,Private,193895,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,107125,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,138907,HS-grad,9,Divorced,Priv-house-serv,Other-relative,Black,Female,0,0,40,United-States,<=50K -59,Private,750972,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,588484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K -54,Private,215990,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -35,Private,195744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,189123,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,255004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,38,United-States,<=50K -58,Private,142724,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -42,Private,68729,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Private,74984,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,203445,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -29,Private,53271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,Local-gov,196013,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,?,334585,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -54,Private,198546,Masters,14,Widowed,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -51,Private,123429,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,237943,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,40,United-States,<=50K -54,Private,46401,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K -30,Private,130078,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Private,253856,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -35,Local-gov,85548,Some-college,10,Separated,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -37,Private,167482,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -72,Private,183616,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,England,<=50K -55,Private,266343,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K -43,Federal-gov,265604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,227669,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,196373,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,139180,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,15020,0,45,United-States,>50K -72,?,51216,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -54,Private,154949,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K -65,?,117963,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,271393,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,388741,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,38,United-States,<=50K -35,Local-gov,742903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,110396,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,56,United-States,>50K -49,Private,304416,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,110013,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,292120,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,42,United-States,<=50K -43,State-gov,165309,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,177277,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,?,157813,11th,7,Divorced,?,Unmarried,White,Female,0,0,58,Canada,<=50K -38,Private,680390,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -66,Private,340734,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,165479,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K -49,Self-emp-not-inc,164495,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Germany,<=50K -45,Private,32896,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,55854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -18,Private,395567,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,235371,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,172237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K -50,Private,121411,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,?,274499,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -47,Local-gov,216586,11th,7,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,188027,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Private,195693,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -43,Private,184099,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,167334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Federal-gov,73047,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -38,Private,82552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,594,0,50,United-States,<=50K -53,Private,200576,11th,7,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -17,Private,160968,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K -22,Private,51362,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -37,Self-emp-not-inc,76855,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,345360,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,152307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K -76,Self-emp-not-inc,106430,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,278924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -17,?,634226,10th,6,Never-married,?,Own-child,White,Female,0,0,17,United-States,<=50K -32,Private,26803,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K -62,?,97231,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K -67,Federal-gov,223257,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Private,142326,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,308764,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K -52,State-gov,104280,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -52,State-gov,101119,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,100480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,240063,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,48,United-States,<=50K -51,Private,197656,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Private,141186,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,135296,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Federal-gov,190290,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,199170,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -67,Private,169435,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,335655,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,208470,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,199031,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,0,1380,40,United-States,<=50K -27,Private,329005,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,State-gov,181824,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,35,United-States,>50K -50,Private,338283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,82161,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,43408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,?,181528,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -42,Private,171424,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,45,United-States,>50K -33,Private,304833,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -51,Private,59590,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -22,Private,211798,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,139268,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,87535,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,48093,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,90,United-States,>50K -50,Private,116814,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -23,?,22966,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,178815,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K -29,?,153167,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -34,Private,180284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -40,Private,409902,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,182615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,278585,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,538193,11th,7,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -36,Private,172706,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,166083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,259323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,172232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -46,Self-emp-inc,132576,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -19,Self-emp-not-inc,30800,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Private,326862,Some-college,10,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,329144,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -45,Private,105779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -62,Federal-gov,258124,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K -36,Private,292380,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,10,United-States,<=50K -37,Private,115806,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,286469,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,303851,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,225707,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Cuba,<=50K -21,Private,100462,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,2174,0,60,United-States,<=50K -47,Private,154117,HS-grad,9,Separated,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -52,Local-gov,100226,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,220585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Local-gov,165822,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,107477,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,258883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,60,Hungary,>50K -38,Local-gov,107513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,218957,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -55,Private,387569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -47,Private,194772,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -40,Private,155972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -67,?,194456,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -36,Self-emp-not-inc,28738,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -17,Private,452406,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -28,Private,60288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,326352,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Federal-gov,207342,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -71,Private,212806,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -37,Local-gov,327120,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -33,State-gov,119628,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Hong,<=50K -35,Private,160910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,26973,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -34,Private,66561,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K -35,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -45,Self-emp-not-inc,44671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,509462,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,State-gov,386568,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -31,Private,298871,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -40,Self-emp-not-inc,174112,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -67,Private,127921,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,40,United-States,>50K -30,Private,149531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,152734,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K -27,Local-gov,138917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,?,169184,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -30,Private,323069,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,106169,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,State-gov,26598,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,231085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,265671,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,143046,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -39,Local-gov,267893,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,7298,0,40,United-States,>50K -34,Private,93394,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -50,Private,140741,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -17,Private,89259,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -34,Local-gov,97723,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,?,222216,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K -28,Private,85812,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -56,State-gov,274111,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1669,40,United-States,<=50K -31,Private,118551,9th,5,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,115803,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,168552,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,30509,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,50,United-States,<=50K -28,Private,119793,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,396745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,48,United-States,>50K -25,Private,430084,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,139863,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -43,Private,298161,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Nicaragua,<=50K -41,Federal-gov,168294,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -42,Private,174295,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,99,United-States,<=50K -35,Federal-gov,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -19,?,138564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -49,Private,173503,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -30,State-gov,45737,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,152629,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -38,?,365465,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -24,Self-emp-not-inc,117210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,311020,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,410489,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,60567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -39,Private,175681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,?,<=50K -61,?,203849,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,122999,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -42,Private,385591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Self-emp-not-inc,143078,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,344519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -35,Private,498216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,339772,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -64,Private,119506,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -21,Private,210355,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K -51,State-gov,237141,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,202239,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,160120,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -27,Private,33429,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,90896,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,178551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,203408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -67,Self-emp-inc,127605,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2174,40,United-States,>50K -45,Private,246891,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -50,Local-gov,139347,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K -45,Self-emp-not-inc,240786,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,175502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,222993,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K -24,Private,69640,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -36,Local-gov,117312,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,256000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -39,State-gov,326566,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,257295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,75,Thailand,>50K -37,Private,32719,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -21,Private,431745,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K -48,Private,186172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Federal-gov,29606,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -72,Private,74749,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,17,United-States,<=50K -36,Private,311255,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K -36,Private,353263,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,154210,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,1902,45,Japan,>50K -23,Private,216472,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,191807,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -32,Private,27207,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -67,State-gov,160158,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K -45,Federal-gov,162410,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K -57,Private,34366,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -49,Local-gov,199862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K -24,Local-gov,117023,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,140117,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -59,State-gov,105363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -72,?,118902,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,2392,6,United-States,>50K -39,Private,126675,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Private,231037,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,164924,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,113163,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -47,Private,185400,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -46,Private,269652,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K -53,Private,162796,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,270973,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Self-emp-inc,110445,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,254450,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,127595,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,353824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -22,Local-gov,123727,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,21,United-States,<=50K -28,Private,181008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,England,>50K -72,Private,53684,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,155930,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,40666,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,203914,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,19,United-States,<=50K -34,Private,88215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K -56,Self-emp-not-inc,60166,1st-4th,2,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -34,Private,57426,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,376025,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,49325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-inc,128016,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -75,Self-emp-inc,152519,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,20,United-States,>50K -19,Private,117595,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -39,Self-emp-inc,151029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,275845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,109881,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,66008,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,50,England,<=50K -20,Private,275357,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K -58,?,242670,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -33,Private,122672,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,145933,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K -34,Private,162113,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,>50K -40,Private,60594,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -47,Local-gov,194360,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,7,United-States,>50K -29,Private,130620,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,26,India,<=50K -29,Private,319998,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,33945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,29444,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,704108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,199316,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K -52,Local-gov,152795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,317702,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -33,Private,256211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -30,Private,391114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,177543,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K -43,Private,106900,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,270842,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -21,Private,237051,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,173607,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,137815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -41,Private,40151,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,86551,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -43,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -63,Self-emp-not-inc,175177,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -38,Private,185848,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K -52,Self-emp-inc,90363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -27,Private,155038,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,100606,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -61,Self-emp-inc,102191,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K -55,Private,176012,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,23,United-States,<=50K -29,Private,101108,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -19,Private,378114,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -54,Private,257337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,211938,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,142756,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,127388,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,70055,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -61,Private,298400,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,4787,0,48,United-States,>50K -24,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,5,Vietnam,<=50K -20,?,311570,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,32,United-States,<=50K -36,Private,185394,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,34,United-States,<=50K -42,Private,103932,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,212302,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Federal-gov,147352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Local-gov,199674,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,112403,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -48,Private,98719,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K -52,Self-emp-inc,77392,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,185325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -33,Private,38848,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,361390,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,Italy,<=50K -43,Private,177905,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3908,0,40,United-States,<=50K -23,Private,194723,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,?,157289,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,190545,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,46,United-States,<=50K -21,Private,186087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -19,?,239862,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Private,421633,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,292465,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,221343,1st-4th,2,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K -52,Self-emp-not-inc,123727,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,183627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,48,Ireland,<=50K -39,Private,129597,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K -68,?,40956,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -63,Self-emp-not-inc,168048,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -19,?,171578,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -65,?,149131,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,Italy,>50K -52,Self-emp-not-inc,168553,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,73145,9th,5,Never-married,Craft-repair,Own-child,White,Female,0,0,16,United-States,<=50K -37,Private,234807,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -23,Private,176486,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -45,Private,129336,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -41,Private,214242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -39,Private,118429,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Local-gov,176756,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K -20,Private,238685,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -39,Private,37314,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -30,Private,133250,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,229803,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,392286,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Federal-gov,214838,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K -45,Private,191914,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,55,United-States,<=50K -54,State-gov,93449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -18,?,33241,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,193586,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -57,Private,46699,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,133169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,164683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -72,?,82635,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,191295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,48,United-States,<=50K -20,Private,39803,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1719,36,United-States,<=50K -36,Private,359001,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,173590,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1628,40,United-States,<=50K -62,Local-gov,114045,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,184102,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,148709,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -58,Private,371064,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -55,Self-emp-not-inc,50215,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,42,United-States,<=50K -28,Private,248404,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Private,199352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,80,United-States,>50K -28,Private,190060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,130057,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -65,Private,64667,Some-college,10,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -31,Federal-gov,281540,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,52753,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Self-emp-not-inc,33308,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Local-gov,137678,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Local-gov,45501,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,?,216563,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,69757,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -23,Private,206129,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,198493,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,274657,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -60,?,268954,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,>50K -59,Private,109015,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K -24,Private,172169,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,95918,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,Germany,<=50K -52,Local-gov,146565,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,4865,0,30,United-States,<=50K -46,Private,143189,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -30,Private,182714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K -37,State-gov,48211,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -55,?,205527,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -53,Local-gov,20676,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -24,Private,109667,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -62,Private,208711,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -48,Private,148995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K -46,Local-gov,175428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,?,285177,Some-college,10,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K -43,Private,71738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,?,112780,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -49,Local-gov,405309,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,427382,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -69,Private,122850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -41,Private,104892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,283760,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,25322,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,?,<=50K -32,Private,24961,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,23698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -57,State-gov,202765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,201105,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -40,Self-emp-not-inc,165108,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,<=50K -44,Private,248406,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,Private,109567,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,500720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -46,Private,133938,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K -65,Private,182470,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -46,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,70,United-States,>50K -43,Local-gov,193755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,179668,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -43,Self-emp-not-inc,204235,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,?,205690,Assoc-voc,11,Never-married,?,Unmarried,Black,Male,0,0,40,United-States,<=50K -39,Private,560313,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,>50K -28,Private,106672,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K -42,Private,243380,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,88913,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,1055,0,40,United-States,<=50K -33,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,228411,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -21,Private,196508,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,79646,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,178983,Masters,14,Separated,Sales,Unmarried,White,Female,6497,0,50,United-States,<=50K -31,Private,117816,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K -51,Private,392286,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -49,Private,403112,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -40,Private,217120,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,State-gov,263215,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,<=50K -20,Self-emp-not-inc,197207,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -21,Private,25505,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -37,Private,276165,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,343052,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,117028,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,34180,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -52,?,105428,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -32,Private,83253,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,Local-gov,169853,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,314646,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,236564,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,227065,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,263200,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -29,Private,195284,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -32,Private,462255,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,137898,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,?,236276,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -63,Private,264600,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,268639,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2057,60,Canada,<=50K -18,?,85154,12th,8,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,24,Germany,<=50K -33,Private,89360,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5178,0,55,United-States,>50K -28,Local-gov,98590,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -19,Private,226913,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,?,251612,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,45,Mexico,<=50K -23,Private,124971,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,287681,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K -23,Private,244771,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,Jamaica,<=50K -37,Private,32207,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,81223,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -25,Private,132749,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K -41,Self-emp-not-inc,277783,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K -71,?,111712,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -24,Private,165064,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,117210,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -34,Federal-gov,223267,Some-college,10,Divorced,Protective-serv,Own-child,White,Male,0,0,72,United-States,<=50K -58,Private,175017,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K -47,Private,98012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -43,Private,184018,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,175127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,110562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,153254,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,48,United-States,<=50K -26,Private,139116,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,50,United-States,<=50K -39,Private,97136,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,176924,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -22,Private,227603,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K -35,State-gov,35626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -25,Private,390657,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,422836,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Mexico,<=50K -34,Private,141118,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,27242,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Philippines,<=50K -32,Local-gov,73514,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -25,Private,262778,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -28,Private,421967,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K -50,Private,161438,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,58371,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,137240,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,149770,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -67,State-gov,168224,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,109231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,54611,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,170721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K -35,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,189346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,196243,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,145548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,114714,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -49,Self-emp-inc,349230,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,329587,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,169727,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,170915,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K -19,Self-emp-not-inc,215493,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,164519,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,176992,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Local-gov,197218,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -24,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,152182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,130067,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -53,Private,120839,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,199212,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K -48,Federal-gov,72896,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,393264,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,118001,7th-8th,4,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,72887,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,125324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -35,Private,283305,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,125645,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,State-gov,52738,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -25,Private,34965,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,185660,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,259652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,353298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K -62,Private,166425,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,154237,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,143003,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1887,45,China,>50K -25,Private,120268,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,1741,40,United-States,<=50K -18,Local-gov,466325,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -17,Private,112795,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -28,Private,77009,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,81107,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,80,United-States,>50K -25,Local-gov,191921,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,118721,12th,8,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,299036,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -27,State-gov,346406,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -18,?,195981,HS-grad,9,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K -26,State-gov,79089,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,96279,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -54,State-gov,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -35,Private,319831,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Local-gov,154548,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K -31,Private,244665,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Honduras,<=50K -24,Private,209034,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,148709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,33688,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,1669,70,United-States,<=50K -31,Private,307375,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -25,Private,397317,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,148844,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,458168,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -44,Self-emp-inc,71556,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -29,Private,340534,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -44,Local-gov,162506,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -21,Local-gov,391936,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -49,Self-emp-not-inc,126077,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,214413,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,48,United-States,<=50K -21,Private,263886,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -39,Private,101146,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -27,Private,104423,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -77,Local-gov,181974,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,131230,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -47,Self-emp-not-inc,117310,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1876,48,United-States,<=50K -40,?,351161,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -39,Private,252327,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -33,Federal-gov,348491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -59,?,441227,Masters,14,Married-civ-spouse,?,Husband,Black,Male,7298,0,50,United-States,>50K -28,Private,64307,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,388247,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,265434,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -38,Self-emp-not-inc,357962,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,187167,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,94461,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K -24,Self-emp-not-inc,186831,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K -48,Private,191858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,185692,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,178207,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -59,Private,124318,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K -23,Private,166371,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K -26,Private,192022,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -56,Private,357118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -39,Private,189382,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,151580,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,184570,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Federal-gov,125892,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,198196,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -37,Private,94706,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,27828,0,40,United-States,>50K -60,Private,165517,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,39477,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,24008,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K -55,?,208640,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -25,Local-gov,375170,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K -38,Private,61343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,State-gov,158451,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K -37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K -20,Private,87867,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,163215,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K -39,Private,347814,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,56,United-States,<=50K -36,Private,185607,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -63,Self-emp-not-inc,117681,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,126569,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,375313,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -46,Private,234690,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Cuba,>50K -24,Private,446647,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -30,Local-gov,325658,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -63,?,46907,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -52,Private,173991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -43,State-gov,139734,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -27,Private,309196,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -79,Self-emp-inc,309272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,301080,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Local-gov,168071,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -44,Private,132921,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -40,Private,170108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,332355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,268022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,?,>50K -20,Private,438321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,198103,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -61,Private,166124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,191712,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K -31,Private,158144,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,177087,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K -33,Private,259301,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,<=50K -45,Private,196707,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Private,317434,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,158200,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,?,<=50K -59,Self-emp-not-inc,325732,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,52,United-States,>50K -44,Self-emp-not-inc,216921,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,<=50K -30,Private,215182,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,169652,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -36,Private,284166,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K -62,Private,132917,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K -43,Private,172025,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,190964,HS-grad,9,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,101320,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,32954,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -66,Private,73522,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K -32,Self-emp-not-inc,103642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,191177,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -26,Local-gov,211497,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,291374,12th,8,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Local-gov,210781,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,250821,Prof-school,15,Never-married,Farming-fishing,Other-relative,White,Male,0,0,48,United-States,<=50K -41,Private,138975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -31,Local-gov,204470,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -33,Local-gov,377107,Some-college,10,Separated,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K -21,Private,143436,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,?,175653,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,14084,0,40,United-States,>50K -54,Private,391016,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,249550,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K -37,Private,82521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -45,Self-emp-inc,185497,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,?,<=50K -28,Private,210313,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -35,?,119006,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,38,United-States,<=50K -21,Private,548303,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,>50K -66,Self-emp-not-inc,174995,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,30,Hungary,<=50K -54,Private,52724,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,101094,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -33,Local-gov,292217,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -17,Private,70868,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K -31,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -21,Private,256356,11th,7,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K -27,Private,150767,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -50,Local-gov,159689,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,607658,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,86019,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -30,Private,209768,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -55,Private,125000,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -22,Private,117779,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,121471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,239057,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,167501,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,10,United-States,>50K -63,Private,339473,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -25,Private,176520,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,100219,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -22,Private,324445,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Self-emp-inc,117372,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -59,Federal-gov,178660,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,157900,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,86143,Assoc-voc,11,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -46,Federal-gov,39606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -32,Private,185820,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,233117,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,109667,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,223696,1st-4th,2,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,38,Dominican-Republic,<=50K -37,Private,201259,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -24,Private,127647,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -31,Private,109020,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Male,0,0,40,United-States,<=50K -23,Private,218445,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,12,Mexico,<=50K -29,Private,104256,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K -30,Private,158002,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,55,Ecuador,<=50K -46,Private,272792,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,State-gov,400285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -32,Private,175413,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -24,?,192711,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,41,United-States,<=50K -39,Self-emp-inc,110861,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,Private,175856,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -32,Private,193042,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -45,Private,99179,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,164920,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,15,Germany,<=50K -28,Private,66414,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,98418,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,Private,205152,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -59,Private,145574,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,502752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -41,Self-emp-not-inc,229148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,Jamaica,<=50K -43,State-gov,52849,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,283217,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,108933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -45,Private,331482,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,53,United-States,>50K -50,Local-gov,149433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -49,?,261059,10th,6,Separated,?,Own-child,White,Male,2176,0,40,United-States,<=50K -18,?,184416,10th,6,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -19,Private,406078,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -24,Private,188925,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,287092,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K -68,?,53850,7th-8th,4,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,State-gov,28738,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,40,United-States,<=50K -28,Private,352451,7th-8th,4,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,?,214238,HS-grad,9,Married-spouse-absent,?,Own-child,White,Female,0,0,40,United-States,<=50K -38,Local-gov,30056,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,211032,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,333910,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -61,Private,21175,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,177083,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,214378,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,433170,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -53,Private,223696,12th,8,Married-spouse-absent,Handlers-cleaners,Not-in-family,Other,Male,0,0,56,Dominican-Republic,<=50K -52,Private,284129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Private,95079,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -62,Private,113080,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Local-gov,234195,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,195949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,156257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -41,Self-emp-not-inc,95708,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -41,Private,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Federal-gov,57924,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,145105,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,131463,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,46743,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,?,<=50K -27,Private,336951,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -32,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,197222,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -50,Private,69477,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -47,?,34458,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -18,Private,318082,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,29261,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,33300,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -28,Private,120471,HS-grad,9,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,40,United-States,<=50K -48,Private,56664,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,179953,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,2597,0,31,United-States,<=50K -37,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Private,345831,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,215443,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K -34,Federal-gov,207284,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -34,Private,35683,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,88126,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,277720,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -54,Private,181132,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,England,>50K -28,Private,32510,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -57,Private,200316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -71,?,287372,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -45,Federal-gov,363418,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,380281,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,25,Columbia,<=50K -63,Self-emp-not-inc,795830,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,30,El-Salvador,<=50K -33,Private,188403,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -47,Private,254367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,State-gov,154432,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -18,Private,53109,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -21,Private,518530,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,85043,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -51,Self-emp-not-inc,124963,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K -34,Private,118551,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,126584,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -44,State-gov,342510,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -21,Private,202871,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,44,United-States,<=50K -26,Private,50103,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,265807,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -65,Private,88145,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K -27,Private,116372,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,State-gov,293287,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,40856,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -58,Private,147989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -23,Private,348092,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Haiti,<=50K -55,Private,185436,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -44,Private,211517,12th,8,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,183017,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,1268339,HS-grad,9,Married-spouse-absent,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,334132,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,78,United-States,<=50K -53,Private,291096,1st-4th,2,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,154297,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,24,United-States,<=50K -30,Private,170412,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,220993,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,199539,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -48,Private,103406,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K -48,Private,178313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,107302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -32,Private,340940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,175943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,15,United-States,>50K -40,Private,229148,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K -49,Self-emp-not-inc,228372,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -71,Self-emp-not-inc,141742,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,1731,0,5,United-States,<=50K -25,Private,40512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,3674,0,30,United-States,<=50K -38,Private,364782,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -68,?,353871,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,229756,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -31,Private,511289,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,2907,0,99,United-States,<=50K -61,Private,80896,HS-grad,9,Separated,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -31,Private,78662,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K -70,?,308689,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,40,Cuba,<=50K -18,Private,337046,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,64874,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,379798,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,109952,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -90,Private,141758,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,593246,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -33,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,278736,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -44,Local-gov,262241,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -46,Private,428405,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,321787,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,289909,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,262749,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -61,?,69285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,37,United-States,<=50K -44,Private,79531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,160061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,90446,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,100154,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -24,Private,226668,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -57,Private,161642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -18,Private,298860,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,395170,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,24,Mexico,<=50K -33,Private,104509,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Local-gov,140240,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Local-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,204862,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,197382,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,187164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K -42,Federal-gov,36699,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,65353,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -34,Local-gov,198953,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,393691,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,65716,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Local-gov,114859,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,17,United-States,<=50K -26,Private,172421,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,184655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,198000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,38,United-States,>50K -44,Private,325461,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -51,Private,39264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -26,Private,104830,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,594,0,35,United-States,<=50K -23,Private,129583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,16,United-States,<=50K -19,State-gov,354104,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,110978,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,37,India,>50K -47,Private,135803,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -60,State-gov,114060,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,143540,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,281437,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,109594,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,70,United-States,>50K -42,Federal-gov,132125,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -52,Private,48925,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,284799,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-inc,277488,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K -39,Private,288551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K -37,Federal-gov,408229,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,194788,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -32,?,227160,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,?,149646,Some-college,10,Divorced,?,Own-child,White,Female,0,0,20,?,<=50K -32,Self-emp-not-inc,127295,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,20,Iran,<=50K -45,Private,363253,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,>50K -39,Private,85566,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,191524,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,151810,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,188246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,233168,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K -43,Private,193494,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,72333,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -19,Private,100669,Assoc-voc,11,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -36,Federal-gov,212465,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,178587,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K -41,Private,374764,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,20,United-States,<=50K -27,Private,150861,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,30828,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,114185,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,?,<=50K -45,Self-emp-not-inc,193451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,116267,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,15,Columbia,<=50K -28,Local-gov,138332,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,24529,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -68,?,351402,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -22,Private,226327,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -67,Private,335979,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,991,0,18,United-States,<=50K -50,Private,195784,12th,8,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,166517,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,203039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -47,Private,334039,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,44,United-States,>50K -39,Private,262841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,Private,195176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K -44,Private,216411,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K -51,Local-gov,277024,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,State-gov,117503,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,Italy,<=50K -51,Private,373448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K -27,Private,203558,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -37,Self-emp-inc,317580,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,?,97075,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -45,State-gov,28171,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,117217,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,140499,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,84774,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,278924,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -26,Private,86483,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,328581,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -34,?,35595,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -58,Private,174848,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,211435,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -60,?,160155,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -48,Self-emp-inc,193188,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,115803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,100793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,>50K -53,Self-emp-not-inc,33304,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -32,Private,227931,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,198841,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,State-gov,166697,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,293440,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -53,Private,172962,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -70,Private,176285,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,23,United-States,<=50K -27,State-gov,176727,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,179666,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,194360,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -52,Local-gov,230112,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,State-gov,200916,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,34503,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,228613,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,35204,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -59,Self-emp-not-inc,211678,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -35,Private,360799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -62,State-gov,39630,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -77,Local-gov,100883,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,Canada,<=50K -19,?,61855,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K -40,Private,132222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,50,United-States,>50K -26,Private,205428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -40,Local-gov,241851,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,?,981628,HS-grad,9,Divorced,?,Unmarried,Black,Male,0,0,40,United-States,<=50K -37,Private,149898,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,165306,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -65,Private,209831,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,179681,Assoc-voc,11,Married-spouse-absent,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -41,Local-gov,291831,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,225724,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -48,Self-emp-not-inc,373606,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,65,United-States,>50K -31,Private,77634,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -47,Private,332727,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -51,Private,53197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,151888,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,50,Ireland,<=50K -43,Private,336042,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -64,Local-gov,287277,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,157127,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,118267,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,117585,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,50,United-States,>50K -31,?,672412,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,48189,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -26,Private,291968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -57,Self-emp-not-inc,103529,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -32,Private,203674,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,880,36,United-States,<=50K -18,Private,301762,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -24,Private,205839,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -56,Local-gov,294623,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,312985,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2129,50,United-States,<=50K -20,Private,236601,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -41,Private,93793,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K -53,Private,194501,11th,7,Widowed,Other-service,Own-child,White,Female,0,0,47,United-States,<=50K -23,Private,278390,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K -38,Private,348960,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -32,Private,172402,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -39,Private,103456,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -39,Local-gov,423605,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,Nicaragua,>50K -30,Private,118941,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,200450,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,412379,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -47,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K -28,Private,272913,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K -30,Local-gov,327203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,89089,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -75,Self-emp-not-inc,231741,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,3,United-States,<=50K -26,Private,247006,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K -50,State-gov,242517,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,195488,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,228729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K -18,Private,322999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,209768,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,143766,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,257978,Assoc-voc,11,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,182714,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,?,<=50K -46,Private,117502,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Federal-gov,118686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Private,394474,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,236021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -19,Private,53355,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,12,United-States,<=50K -52,Self-emp-not-inc,195462,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,>50K -29,Local-gov,195520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,>50K -21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,257942,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,31781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1510,35,United-States,<=50K -35,Private,245372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,236818,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,26,United-States,<=50K -53,Private,123092,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,445382,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Self-emp-inc,272531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,41901,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K -44,Private,211351,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,40,United-States,>50K -38,Federal-gov,48123,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,?,167284,7th-8th,4,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -17,?,89870,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,208630,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -29,Private,369114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,146195,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,0,36,United-States,<=50K -32,State-gov,204052,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -47,Private,102628,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -36,Private,89202,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -37,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,44,United-States,<=50K -46,Federal-gov,371373,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Local-gov,236827,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,266316,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,35,United-States,<=50K -47,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -51,Private,166934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,78383,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,304302,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Private,187251,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -45,Private,132847,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,Private,171482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,50,United-States,<=50K -49,Private,94638,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Local-gov,265426,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,362883,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,235891,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -49,Self-emp-not-inc,34845,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -52,Private,135607,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -38,Self-emp-inc,269318,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -17,Private,47425,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -62,Federal-gov,159165,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -32,Private,207301,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,196001,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -30,Private,277488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -29,Self-emp-not-inc,132686,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Italy,>50K -60,Private,118197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -22,Private,206974,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,21174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,93213,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,62,United-States,<=50K -23,Private,201682,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Private,275095,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,181152,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,United-States,<=50K -23,?,146399,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K -55,Local-gov,107308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,269354,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,State-gov,90409,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,148903,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,4687,0,50,United-States,>50K -22,Private,238917,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -33,State-gov,121245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Private,355781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,Japan,>50K -30,Private,215808,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,599057,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K -57,?,155259,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,226735,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,45,United-States,<=50K -32,Private,312403,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,227332,Bachelors,13,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,?,<=50K -20,?,354351,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -26,Private,196805,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K -36,Private,347491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,185452,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,174575,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,45,United-States,>50K -30,Private,97757,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -32,Private,287229,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,304530,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -32,Private,121769,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-inc,304871,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,State-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,185385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -47,Self-emp-not-inc,39986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,386120,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,10605,0,40,United-States,>50K -47,Self-emp-inc,96798,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -20,Private,34590,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -37,Private,213726,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -52,Private,222405,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,2377,40,United-States,<=50K -59,Federal-gov,23789,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -70,?,262502,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1844,24,United-States,<=50K -27,Private,172009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,268098,12th,8,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,36,United-States,<=50K -35,Private,297697,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -31,Local-gov,175778,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,288771,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,108293,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -23,Private,155919,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -42,Self-emp-not-inc,303044,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -39,Private,358753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -49,Private,246183,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Private,132750,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -40,Local-gov,157240,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K -51,Private,256051,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1628,40,United-States,<=50K -62,Private,77884,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -27,Private,212041,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,176831,10th,6,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Private,392812,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -29,Private,214702,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1974,35,United-States,<=50K -30,Private,175455,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -24,State-gov,184216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Local-gov,274245,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,194809,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,174478,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,255543,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K -38,Private,154669,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,110998,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -58,Private,196643,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -39,Local-gov,139364,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -46,State-gov,222374,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,>50K -60,Self-emp-not-inc,96073,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -17,Private,134480,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,101812,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K -33,Private,117186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,331126,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,30,United-States,<=50K -39,Private,284166,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1564,50,United-States,>50K -60,Private,399387,7th-8th,4,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,15,United-States,<=50K -21,Private,147280,HS-grad,9,Never-married,Other-service,Own-child,Other,Male,0,0,20,United-States,<=50K -41,Private,99373,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Local-gov,352277,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,45,United-States,>50K -45,Private,362883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -20,Private,174391,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,202951,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -33,Local-gov,43959,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -39,Private,223792,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,72,United-States,<=50K -42,Private,195755,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Local-gov,220419,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -22,?,182771,Assoc-voc,11,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -50,Private,163708,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,120939,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,160706,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -20,Private,258490,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,Private,183672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,112305,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -52,Private,192390,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,311446,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,343476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -46,Self-emp-not-inc,98881,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -62,Private,211035,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K -33,Private,243674,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K -78,Private,111189,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K -36,Private,348022,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -39,Self-emp-not-inc,126569,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -35,Private,335777,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K -28,?,291374,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -34,Private,198183,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,83231,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,182863,Bachelors,13,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,233511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,?,234108,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,?,182543,1st-4th,2,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -26,Private,165510,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,195770,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,26,United-States,<=50K -26,Private,198289,12th,8,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K -50,Federal-gov,343014,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,208353,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,174592,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,133061,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,128354,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,312923,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -39,?,281363,10th,6,Widowed,?,Unmarried,White,Female,0,0,15,United-States,<=50K -39,Local-gov,45607,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -23,Private,346480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -58,Local-gov,44246,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,230961,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -56,Self-emp-not-inc,115439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,220537,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,90646,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,285004,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K -37,Private,51264,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,France,>50K -45,Local-gov,151267,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,25,United-States,<=50K -33,Private,157216,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,390746,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,137042,10th,6,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -45,Self-emp-inc,88500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -36,Local-gov,491000,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Private,309212,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Germany,<=50K -63,Private,281025,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -55,Self-emp-not-inc,205296,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -26,Self-emp-inc,242651,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -48,Self-emp-inc,155664,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -25,Private,112754,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -72,Private,33404,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Self-emp-inc,284651,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K -27,Private,105817,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,82061,5th-6th,3,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,32,Mexico,<=50K -29,Private,119052,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Private,104842,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,Haiti,<=50K -58,Private,77498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -18,?,184101,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,207578,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -43,Private,209894,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -49,Local-gov,79019,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K -58,Private,117477,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K -22,Private,235853,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,199268,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,189832,Assoc-acdm,12,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,82823,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5013,0,30,United-States,<=50K -74,Private,129879,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,40,United-States,>50K -34,Self-emp-not-inc,321709,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Private,229613,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,199919,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K -30,Private,119411,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -35,Private,95653,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -53,Private,129301,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -22,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,38151,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,Philippines,<=50K -71,Private,149950,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,20,United-States,<=50K -42,Private,108506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -28,Private,65171,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,183811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,40,United-States,<=50K -53,Private,170050,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,403433,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K -32,Private,154950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,State-gov,142856,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,117244,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,45,United-States,<=50K -41,Private,225892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -58,Private,104613,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,227236,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,93461,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,<=50K -20,Self-emp-not-inc,263498,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Local-gov,265230,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -63,?,109446,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,287920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -33,Private,100294,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,103345,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,218903,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,198258,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -73,Private,187334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,176146,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,35,Mexico,<=50K -74,Self-emp-not-inc,109101,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,4,United-States,<=50K -36,Private,240323,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,?,83043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2179,45,United-States,<=50K -52,Self-emp-not-inc,141820,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -35,Private,338948,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -25,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,403681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,248990,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -60,Private,207665,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -60,Self-emp-not-inc,78913,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,183627,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -31,Private,225779,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,92811,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,125089,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,65325,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Private,346189,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,173296,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -35,Private,420040,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,167864,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,52536,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Female,0,1594,25,United-States,<=50K -24,Private,204172,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,48,United-States,<=50K -40,Private,177027,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,52,Japan,>50K -18,Private,188076,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -31,Local-gov,158092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -25,State-gov,157617,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,418702,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,?,155676,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,193626,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,53,United-States,<=50K -29,Local-gov,167544,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K -43,Private,139277,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,Italy,<=50K -37,Private,213841,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -17,Private,219199,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K -30,Self-emp-not-inc,31510,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,269004,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,95336,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -64,Private,280957,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -69,Private,113035,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,4,United-States,<=50K -20,Private,44793,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,Private,411595,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -35,Private,198841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,190911,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -52,State-gov,168035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -40,Self-emp-not-inc,211518,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -23,Private,101885,10th,6,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,67779,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,148995,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Local-gov,102359,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,2231,40,United-States,>50K -49,Self-emp-not-inc,166003,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,47570,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,301637,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,165743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Private,324445,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,229773,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,182074,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K -40,Private,56072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -57,Private,47857,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -70,Private,291998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,65,United-States,>50K -45,Private,339506,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,149230,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -50,Federal-gov,186272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -45,Local-gov,209482,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -43,Self-emp-inc,198871,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K -54,Private,302146,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -38,Private,229180,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,Cuba,<=50K -35,Private,320305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -30,Federal-gov,48458,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Private,202117,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -52,Private,380633,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -57,Private,197369,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,115613,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,272471,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,498785,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,306473,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -61,?,253101,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -18,Private,423052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,Private,50610,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,Self-emp-not-inc,355536,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,<=50K -19,Private,187125,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,262092,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,192735,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -33,Private,198660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,99999,0,56,United-States,>50K -29,Private,191177,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K -41,State-gov,47170,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,48,United-States,>50K -43,Self-emp-inc,27444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -20,Private,109813,11th,7,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,357679,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,65,United-States,>50K -60,Private,76127,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -17,?,94492,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -56,Self-emp-not-inc,159937,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,>50K -42,Private,190767,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,191954,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -60,Private,209844,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,103233,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,158800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,228649,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,167336,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K -39,Private,48063,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -35,Private,30565,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -37,Self-emp-not-inc,143774,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Germany,>50K -46,Private,157991,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K -51,Private,122109,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -60,Self-emp-inc,123552,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Ireland,<=50K -28,Self-emp-not-inc,282398,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Private,177449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,52,United-States,>50K -36,Private,218689,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -39,State-gov,210150,Masters,14,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,169955,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,Puerto-Rico,<=50K -29,?,199074,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,430710,HS-grad,9,Separated,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,33021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K -31,Private,39054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,99646,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,315321,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,625,52,United-States,<=50K -40,Self-emp-inc,64885,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -37,Private,108913,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,117963,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -36,Self-emp-not-inc,160120,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,45,?,<=50K -47,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,234447,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,269182,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,3887,0,40,United-States,<=50K -20,?,112858,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K -49,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,Poland,<=50K -57,Local-gov,189824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K -18,Private,275848,12th,8,Never-married,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K -28,Private,425127,9th,5,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -51,Private,137815,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,112181,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,12,United-States,>50K -29,Local-gov,181282,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,268090,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,>50K -30,Federal-gov,266463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,123727,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -40,Private,181265,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -29,Private,370242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,267706,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -43,Local-gov,180407,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,Germany,<=50K -51,State-gov,172962,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,236861,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,232261,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,721161,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Federal-gov,208640,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,244522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,42,United-States,>50K -66,Private,86321,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,22,United-States,<=50K -28,Private,289991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Local-gov,283635,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,149771,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -35,Private,241153,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,105189,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,4865,0,50,United-States,<=50K -23,Private,175837,11th,7,Never-married,Farming-fishing,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K -58,Federal-gov,75867,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K -42,Private,172148,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -40,State-gov,105936,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -22,Self-emp-not-inc,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,219906,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K -59,State-gov,268700,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,124827,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -50,Private,185354,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,313473,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,208946,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,?,<=50K -41,Private,289886,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,0,1579,40,Nicaragua,<=50K -44,Private,260046,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,84013,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -46,Private,168069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,154153,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,211013,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Private,63910,HS-grad,9,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -50,Private,143664,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,147069,10th,6,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -45,Federal-gov,78022,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,182140,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -73,Private,366204,7th-8th,4,Widowed,Priv-house-serv,Unmarried,Black,Female,1264,0,10,United-States,<=50K -20,Private,165804,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K -68,Private,204082,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Private,386040,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -47,Private,159399,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -51,Federal-gov,378126,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1980,40,United-States,<=50K -41,Private,407425,12th,8,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,37085,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,500509,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -26,Private,56929,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,?,<=50K -36,?,139770,Some-college,10,Divorced,?,Own-child,White,Female,0,0,32,United-States,<=50K -34,Private,499249,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -46,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,190916,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,110171,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,304791,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,320192,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,117310,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,6497,0,40,United-States,<=50K -58,Private,109159,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K -40,Private,48087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -32,State-gov,513416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K -46,State-gov,20534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,State-gov,24721,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Private,206520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,279901,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,213842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,112115,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,107683,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,4386,0,40,United-States,>50K -45,Private,168195,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -24,Private,255252,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,?,111282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,4386,0,99,United-States,>50K -34,Private,182274,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1887,40,United-States,>50K -35,Local-gov,215419,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Local-gov,133876,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,240170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K -50,Private,123429,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -39,Private,35890,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,151107,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,148995,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,137428,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,?,257421,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -59,Private,159770,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,304212,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,163051,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K -55,Local-gov,193895,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -39,Private,317434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,104193,HS-grad,9,Never-married,Other-service,Own-child,White,Female,114,0,40,United-States,<=50K -21,Private,119673,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Private,132849,Masters,14,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Local-gov,191130,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -50,Private,30827,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -37,Private,348796,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,184207,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,32000,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,393702,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -53,Local-gov,205005,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -39,Private,99146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -53,Private,223660,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K -18,Private,310175,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -26,?,182332,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,208470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,166213,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -65,Without-pay,172949,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,20,United-States,<=50K -48,Private,193075,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,143030,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,356934,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,372500,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,Mexico,<=50K -59,?,259673,Some-college,10,Married-civ-spouse,?,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -35,Private,454843,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,161662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -58,Private,170608,10th,6,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,167990,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K -60,Private,240951,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,108035,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,47707,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,376416,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,90290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,<=50K -56,Private,70720,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,108687,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,203833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,343944,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,216552,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,107682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -44,State-gov,307468,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -30,Private,399522,11th,7,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,434102,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,3,United-States,<=50K -55,Federal-gov,305850,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -36,Private,111377,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,195891,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -45,Private,358886,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,50,United-States,<=50K -36,Private,334365,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,196123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,171839,Masters,14,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,>50K -25,Private,206343,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Local-gov,168387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -20,?,249087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,169188,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,370156,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -37,Private,265737,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,60,Cuba,>50K -53,Private,166368,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,139753,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,50,United-States,<=50K -20,Private,187592,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,114053,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Self-emp-not-inc,116385,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,85041,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -23,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,State-gov,190682,Assoc-voc,11,Widowed,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K -22,Private,150683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,228457,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,176279,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,124827,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,213464,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,200492,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,177161,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,45,United-States,<=50K -20,Federal-gov,163205,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -22,Private,259109,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,18,United-States,<=50K -40,Private,202872,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -60,State-gov,165792,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -44,Private,151780,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,313853,Bachelors,13,Divorced,Other-service,Unmarried,Black,Male,0,0,45,United-States,>50K -27,Private,167737,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -28,Private,107411,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,168906,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,427055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Mexico,<=50K -45,Private,386940,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,1408,40,United-States,<=50K -35,Local-gov,223242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,42478,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,78602,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -22,?,51973,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -40,Local-gov,196234,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -51,Local-gov,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,45,Cuba,<=50K -18,?,30246,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,301298,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -49,Private,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -47,Local-gov,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K -57,Self-emp-not-inc,204387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,10,United-States,>50K -56,Private,37394,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,201615,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,37,United-States,<=50K -37,Federal-gov,196348,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,47247,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,126242,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -27,Local-gov,106179,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Local-gov,150211,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,134635,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -66,Self-emp-not-inc,293114,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,40,United-States,<=50K -43,Local-gov,209899,Masters,14,Never-married,Tech-support,Not-in-family,Black,Female,8614,0,47,United-States,>50K -18,Local-gov,134935,12th,8,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -28,Local-gov,211920,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,251180,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,50,United-States,<=50K -42,Private,230355,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K -34,Private,97614,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,188409,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,25,United-States,<=50K -32,Federal-gov,131534,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,?,163053,10th,6,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,282604,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,24,United-States,<=50K -24,Private,375698,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K -42,Private,297266,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K -19,Local-gov,273187,HS-grad,9,Never-married,Protective-serv,Own-child,White,Female,0,0,36,United-States,<=50K -49,Private,28171,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,40,United-States,>50K -65,Private,129426,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,State-gov,247378,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,103925,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,United-States,>50K -20,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -17,Private,286960,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,183977,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -28,Private,216178,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,118286,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,304605,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Private,164574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,37306,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,262461,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -77,Private,142646,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,23,United-States,<=50K -18,Private,184277,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -60,Self-emp-not-inc,135285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,663291,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K -31,Local-gov,198770,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -46,Self-emp-not-inc,56482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,>50K -29,Private,278637,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K -24,Self-emp-inc,165474,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,194630,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K -37,Local-gov,264503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -62,?,302142,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2961,0,30,United-States,<=50K -52,Private,416129,Preschool,1,Married-civ-spouse,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -27,Private,249315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,126622,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -22,Local-gov,412316,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,57711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Self-emp-inc,339116,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,?,<=50K -47,Private,146497,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,16,Germany,<=50K -25,Private,458549,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,96,Mexico,<=50K -35,State-gov,308945,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -45,Private,148824,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,120985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,35,United-States,<=50K -52,Self-emp-inc,138497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,367037,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,4650,0,40,United-States,<=50K -45,Private,175925,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,197332,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,46,United-States,>50K -46,Self-emp-inc,285335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -39,Private,164898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,331569,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,36,United-States,<=50K -27,Self-emp-inc,64379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -28,?,196630,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -40,State-gov,67874,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,45,United-States,>50K -37,Federal-gov,127879,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Private,164799,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,179137,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,37937,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -36,Private,149833,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,263150,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -44,Self-emp-not-inc,273465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -34,Private,147215,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K -53,Federal-gov,290290,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -48,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -33,?,314913,11th,7,Divorced,?,Own-child,White,Male,0,0,53,United-States,<=50K -36,Private,103605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,165468,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -17,Private,294485,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,168654,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -36,Private,104772,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K -43,Self-emp-not-inc,311177,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,United-States,<=50K -21,Private,39943,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -54,Private,146325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,168216,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,56750,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -71,Self-emp-not-inc,143437,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K -20,Private,278155,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,236992,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -44,Private,148316,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,137214,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,37,United-States,<=50K -32,State-gov,27051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -36,Private,199739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -52,Local-gov,298035,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,298871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -73,Self-emp-not-inc,110787,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,2,United-States,<=50K -53,Federal-gov,314871,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,211184,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Federal-gov,337575,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -42,Private,249332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,298225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,224969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,286970,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -19,Private,228577,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K -55,Private,124137,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K -30,Private,316471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -56,Private,191330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -21,Private,30796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,299383,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,280111,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -41,Private,59938,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -32,Private,164519,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -30,Self-emp-not-inc,173854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,104830,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,199501,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K -20,Private,49179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Private,88500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -22,Private,125010,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,State-gov,106705,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,50,United-States,<=50K -28,Private,332249,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -45,Private,264514,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -51,Private,146574,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,150025,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Peru,<=50K -35,Private,102946,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,1669,45,United-States,<=50K -46,Federal-gov,167381,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -35,Private,187711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,283737,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,178948,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -58,Private,244605,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,40,United-States,<=50K -18,Private,210932,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,131611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K -34,Private,344073,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -21,Private,188073,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,112772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,152951,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,State-gov,177048,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,440129,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,265275,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,78707,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,243723,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,44780,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,8,United-States,>50K -73,Private,77884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -24,Private,336088,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K -47,Local-gov,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -34,Private,467108,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Private,357933,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -67,?,192916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,11,United-States,<=50K -23,Private,235894,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,215616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -64,State-gov,417543,Doctorate,16,Widowed,Prof-specialty,Not-in-family,Black,Male,8614,0,50,United-States,>50K -37,State-gov,46814,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -36,Private,393673,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -34,Private,143392,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,173370,Bachelors,13,Separated,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -24,Private,113466,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -60,Local-gov,195453,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Private,253759,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,45,United-States,<=50K -41,Private,590204,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -62,?,123992,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,29617,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,117605,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -38,Self-emp-not-inc,41591,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -63,Private,149756,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -33,Private,29144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -23,Private,239577,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K -62,Self-emp-not-inc,113440,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -54,Self-emp-inc,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -43,Private,42026,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,118494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -22,Private,189203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,112031,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,268258,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,50,United-States,>50K -29,Private,210867,11th,7,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,157881,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -61,Private,132529,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,247733,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,16,United-States,<=50K -39,Private,48915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,133373,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -23,Private,407684,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -64,State-gov,105748,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,176969,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,206297,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,Private,583755,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -43,Federal-gov,105936,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,13550,0,40,United-States,>50K -27,Private,173611,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,114691,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Private,157765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,77792,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,State-gov,118551,Bachelors,13,Married-civ-spouse,Tech-support,Own-child,White,Female,5178,0,25,?,>50K -46,Private,347993,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -34,Local-gov,209213,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,15,United-States,<=50K -34,Private,511361,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Private,95998,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,165503,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K -34,Local-gov,191957,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K -43,Private,129853,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,181179,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -30,Private,161690,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,142080,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K -43,Private,477983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,60227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,209317,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K -53,Private,227475,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Local-gov,170070,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -46,Private,193047,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,195744,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -61,Private,202202,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,208451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,152652,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -29,Private,48895,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,160187,9th,5,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,16,Jamaica,<=50K -45,Self-emp-not-inc,28497,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,70,United-States,>50K -40,Private,184655,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -38,Self-emp-not-inc,30916,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,301867,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K -20,State-gov,215443,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K -26,Private,192262,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,339372,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1408,40,United-States,<=50K -31,Private,107417,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,173670,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -33,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -60,Self-emp-not-inc,127805,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -43,Private,413297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,296999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,37,United-States,<=50K -49,Self-emp-inc,125892,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-not-inc,244953,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,26668,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -62,Private,138253,Masters,14,Never-married,Handlers-cleaners,Not-in-family,White,Male,4650,0,40,United-States,<=50K -35,Private,261293,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,22328,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,297759,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,338833,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K -45,Self-emp-not-inc,32172,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -25,Private,236977,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K -53,Self-emp-not-inc,152652,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,164507,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K -42,Private,240628,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -49,Private,228583,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,Columbia,<=50K -28,?,131310,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,123430,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -36,Private,127306,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,United-States,<=50K -63,?,331527,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -31,Private,87418,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,89172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,111836,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -23,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -51,State-gov,172281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -31,Private,112627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -32,Private,195447,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -24,Private,140027,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,45,United-States,<=50K -34,Local-gov,303129,HS-grad,9,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,108435,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,30,United-States,<=50K -47,Private,52795,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -31,Private,184307,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,134960,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K -63,Local-gov,114752,Bachelors,13,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -39,Private,32650,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,216116,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,Haiti,<=50K -40,Private,139193,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,159473,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,152109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,115831,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,174386,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -30,Local-gov,257796,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,315291,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,118212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K -30,Private,329425,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -39,Private,113481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -32,State-gov,213389,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,1726,38,United-States,<=50K -25,Private,75759,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K -41,Private,112763,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -55,Private,210318,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,117148,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,137253,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -28,Federal-gov,381789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,138192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,329778,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -69,Self-emp-inc,174379,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -22,Private,102632,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,479621,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,159567,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,200061,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,?,<=50K -45,Local-gov,213620,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -38,Self-emp-not-inc,179481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -47,Self-emp-not-inc,173938,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,20,United-States,<=50K -38,State-gov,255191,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,134152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,112873,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,373050,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -76,?,173542,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -32,Private,101283,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,169042,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,625,40,Puerto-Rico,<=50K -59,State-gov,159472,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,171228,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3411,0,35,Guatemala,<=50K -41,Private,115849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,115443,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,406468,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -32,Local-gov,40444,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,122215,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,52,United-States,<=50K -46,Private,190115,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Federal-gov,183151,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -62,?,203126,9th,5,Never-married,?,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -38,Private,234891,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,?,49593,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K -25,Private,356017,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,99,United-States,<=50K -56,Private,91262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -38,Private,65624,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,91189,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,269733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -65,Private,207281,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -56,Local-gov,137078,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,108699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Local-gov,249392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K -61,Local-gov,167670,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,136402,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,129956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -33,Private,143851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,104870,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K -44,Private,136986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -62,?,81578,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -51,Local-gov,136823,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K -45,Private,177536,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,England,>50K -46,Private,269045,11th,7,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,202937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,State-gov,130561,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,24,United-States,<=50K -65,?,231604,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,Germany,<=50K -24,Private,311311,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -29,Private,272913,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Mexico,<=50K -51,Private,134808,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -42,State-gov,273869,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,165815,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,?,172855,11th,7,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -35,Self-emp-inc,189404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K -39,Private,111129,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,209547,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -47,Private,93557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,132912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -43,Private,132130,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -35,Private,215323,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,170786,9th,5,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,233639,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,176123,HS-grad,9,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -83,?,29702,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -47,Private,149700,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -42,Private,265698,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,248754,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,>50K -21,Private,285522,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,292055,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -39,Private,505119,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K -39,Local-gov,352628,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,>50K -36,Private,308945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,?,198542,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,266828,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K -22,Private,133833,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -57,?,202903,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,1173,0,45,Puerto-Rico,<=50K -75,Self-emp-inc,164570,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,201138,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -33,Self-emp-not-inc,195891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -37,Local-gov,105803,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,137192,Bachelors,13,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -24,Private,258120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,Jamaica,<=50K -44,Self-emp-inc,383493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -17,Private,41865,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,140854,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Portugal,<=50K -49,Private,191821,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -27,Private,32519,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,South,<=50K -22,Private,51985,Some-college,10,Never-married,Other-service,Own-child,White,Male,1055,0,15,United-States,<=50K -30,Private,156464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -32,Private,362259,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -72,?,195181,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -43,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,28451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -56,Private,199763,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,99478,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,482677,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -32,Local-gov,247156,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,3103,0,38,United-States,>50K -56,Private,107165,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K -65,Local-gov,179411,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K -60,Self-emp-not-inc,205246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,2559,50,United-States,>50K -27,Private,263614,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -45,Private,123844,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K -61,Private,191188,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -69,Private,232683,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,France,>50K -21,State-gov,173534,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Ecuador,<=50K -37,Private,172846,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -40,Private,183765,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,252327,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -32,Self-emp-not-inc,241885,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,104892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K -58,?,150031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,147322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Columbia,<=50K -33,Private,268996,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,Self-emp-inc,153549,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,172425,HS-grad,9,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -57,Private,188872,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,6497,0,40,United-States,<=50K -31,Private,398988,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,197642,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -32,Local-gov,130242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,118941,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -60,Self-emp-not-inc,282660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,95047,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,44,United-States,>50K -40,Private,168071,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -47,Private,172753,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K -44,Private,262684,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,45,United-States,<=50K -40,?,253717,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K -84,Local-gov,135839,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,14,United-States,<=50K -21,Private,188535,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -43,Private,435266,Doctorate,16,Separated,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K -46,Private,263568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,171216,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -64,?,226878,Masters,14,Married-civ-spouse,?,Wife,Black,Female,9386,0,50,Jamaica,>50K -20,Private,41721,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,48553,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,72,United-States,<=50K -32,Private,50178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -51,Private,310774,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,29810,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -51,Self-emp-not-inc,34067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,308709,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -63,Local-gov,80655,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,172232,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -38,Private,80303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -35,Private,82552,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,281540,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,216825,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,Mexico,<=50K -30,Private,226443,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,184400,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K -29,Private,206351,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -43,Private,111252,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -20,Private,266467,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -17,Private,47771,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -37,State-gov,89083,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -65,Private,205309,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,233779,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,191025,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -41,Private,316820,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -50,Private,71417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -27,Private,248402,Bachelors,13,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,197050,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -21,Private,286853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,170108,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,135388,12th,8,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,1564,40,United-States,>50K -60,?,120163,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,375452,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,48,United-States,>50K -22,Private,311764,11th,7,Widowed,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -23,?,145964,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,154667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,103743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,70,United-States,<=50K -73,Self-emp-not-inc,190078,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -47,Private,223342,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1504,35,United-States,<=50K -75,Self-emp-not-inc,30599,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,73715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,?,306693,Some-college,10,Married-civ-spouse,?,Other-relative,White,Female,0,0,20,United-States,<=50K -33,Local-gov,220430,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K -72,Private,109385,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K -41,State-gov,110556,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -29,Private,211482,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,60001,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,185908,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K -21,Private,249727,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K -32,Private,108116,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -17,Private,316929,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -66,Private,196674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K -26,State-gov,141838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -34,Local-gov,362775,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -56,Self-emp-inc,373593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K -41,Private,215219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,173839,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,96452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,58343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -26,Private,137367,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K -30,Private,260782,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K -20,Private,352139,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,29,United-States,<=50K -33,Private,158438,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -28,Self-emp-not-inc,176027,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -51,Self-emp-inc,166459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,158438,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,45366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K -49,Self-emp-inc,229737,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,37,United-States,>50K -24,Private,278107,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -42,Private,124792,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,45,United-States,>50K -45,Local-gov,278303,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,190067,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,1564,40,United-States,>50K -37,Private,190105,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K -29,Private,224858,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,216414,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K -26,Private,124068,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,109457,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,48,United-States,<=50K -65,State-gov,29276,7th-8th,4,Widowed,Other-service,Other-relative,White,Female,0,0,24,United-States,<=50K -29,Private,187073,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,104501,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,353083,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,222205,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -32,Local-gov,190228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,206139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Federal-gov,381645,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,194901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,State-gov,125499,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,60,India,>50K -52,Private,178983,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,110380,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2467,52,United-States,<=50K -36,Private,83893,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -64,Private,312242,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,3,United-States,<=50K -27,Private,256764,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,153372,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -67,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,220993,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1590,48,United-States,<=50K -29,Private,226941,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -46,Federal-gov,212120,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -45,Self-emp-inc,173664,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -44,Private,344060,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,>50K -46,Private,251786,1st-4th,2,Separated,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -40,Private,192878,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,171841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Federal-gov,290624,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,45427,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -43,Self-emp-not-inc,101534,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,15,United-States,>50K -19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,119128,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,60,South,>50K -27,Private,152231,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,216414,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K -43,Local-gov,160574,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,241851,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,40,United-States,>50K -55,Private,157079,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,>50K -49,Local-gov,276247,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,341638,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,92,United-States,<=50K -29,Self-emp-inc,168221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,70,United-States,<=50K -22,Private,210474,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,72630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,457162,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,17,United-States,<=50K -30,Private,37646,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,237956,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Cuba,<=50K -51,Private,126528,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,Private,33794,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K -31,Private,162312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K -38,Private,127865,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,200819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,237819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -46,Private,203067,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,155818,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,161922,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -43,Private,90582,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,271837,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K -40,Local-gov,104196,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,166879,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,127894,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -70,Self-emp-inc,225780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -32,Private,188245,11th,7,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,302903,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -41,?,230020,5th-6th,3,Married-civ-spouse,?,Husband,Other,Male,0,0,40,United-States,<=50K -28,Private,250967,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2105,0,40,United-States,<=50K -31,Private,114324,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Local-gov,127772,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,170154,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,25236,0,50,United-States,>50K -33,?,33404,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,48,United-States,<=50K -45,Federal-gov,211399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -65,Private,183544,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Self-emp-not-inc,193026,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,265295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,183618,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,462966,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,El-Salvador,<=50K -42,Private,69019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -72,Self-emp-not-inc,103368,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,21,United-States,<=50K -28,Local-gov,34452,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,250182,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,369781,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,15024,0,45,United-States,>50K -59,Self-emp-inc,349910,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,274222,1st-4th,2,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,El-Salvador,<=50K -24,Private,119704,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,175185,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,?,97281,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Private,327164,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,>50K -37,Private,83893,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,98644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,?,>50K -25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,22245,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,193898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K -62,Private,24515,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,195681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,?,<=50K -34,Private,66384,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -45,Private,194134,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -19,Private,85690,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,30,United-States,<=50K -60,Private,71683,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,49,United-States,<=50K -40,Private,266084,Some-college,10,Divorced,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -34,Private,206609,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -40,Federal-gov,107584,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,?,170456,Some-college,10,Never-married,?,Own-child,White,Male,0,0,5,United-States,<=50K -46,Private,403911,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -36,Private,58602,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -21,Private,403471,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,48,United-States,<=50K -30,Private,54929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -34,Private,153927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,61778,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -33,Private,133503,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -21,Private,103031,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -46,Private,137354,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -37,?,48915,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Private,350387,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K -35,Private,87556,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,201699,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -25,Private,189663,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,199018,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,?,397346,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,112158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,?,<=50K -24,Local-gov,146343,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,204788,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,229656,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -21,Without-pay,232719,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,97419,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K -19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -24,Private,123983,11th,7,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -39,Private,121590,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K -34,Private,85632,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -19,Private,197714,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,79387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -56,Private,119859,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K -21,Private,109414,Some-college,10,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,1974,40,United-States,<=50K -49,Private,101320,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1564,40,Canada,>50K -72,Self-emp-not-inc,203523,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -51,Private,100933,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -20,?,210474,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -35,Private,30529,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -60,Private,224277,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -29,Private,244473,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,2051,40,United-States,<=50K -24,Private,190709,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -37,Federal-gov,33487,Some-college,10,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -35,Private,211440,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,360131,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -36,Private,214816,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,290763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,105021,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -27,Private,339921,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,38,Mexico,<=50K -45,Local-gov,317846,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,47,United-States,<=50K -19,State-gov,136848,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -20,Private,472789,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K -53,Self-emp-not-inc,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,20,China,>50K -44,Private,193524,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,135568,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,64875,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,185325,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -43,Private,160369,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,340917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,175696,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,236861,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Self-emp-inc,194636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K -26,Local-gov,33604,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K -49,?,52590,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Local-gov,296537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,160300,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Private,161532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -69,Private,104827,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K -44,Federal-gov,269792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,43,United-States,<=50K -39,Private,115289,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K -30,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,284703,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,52,United-States,<=50K -26,Private,183171,11th,7,Never-married,Other-service,Own-child,Black,Male,1055,0,32,United-States,<=50K -34,Private,54608,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,90159,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,259307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,155489,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Self-emp-inc,163998,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,108713,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,437994,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,United-States,<=50K -40,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -25,Private,166971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -18,Self-emp-not-inc,58700,9th,5,Never-married,Farming-fishing,Other-relative,Other,Female,0,0,40,Mexico,<=50K -41,Private,43467,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,99,United-States,<=50K -18,?,136172,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -34,State-gov,50178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -20,Private,271379,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -50,Self-emp-not-inc,231196,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,142689,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,?,<=50K -19,Private,231972,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,33155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -48,Self-emp-not-inc,221464,11th,7,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -32,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,190228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,163665,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,336360,7th-8th,4,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,203240,9th,5,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -56,Self-emp-not-inc,119069,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -53,Private,190319,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1485,40,Thailand,>50K -54,Private,197975,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K -49,Private,168337,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,74389,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -46,Private,57914,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,287317,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,250541,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -24,Private,190483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,273701,Some-college,10,Never-married,?,Other-relative,Black,Male,34095,0,10,United-States,<=50K -33,Federal-gov,101345,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,State-gov,169914,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,182653,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Private,174571,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,215926,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,410351,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,112139,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,315984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,51471,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K -42,State-gov,163069,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,403788,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,190391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,?,189041,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,295010,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,>50K -50,Private,152810,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,60567,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,880,60,United-States,<=50K -33,Private,403468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K -35,Private,49020,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,210053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,192022,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,66326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -47,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,20438,Some-college,10,Separated,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K -40,Private,321758,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Federal-gov,33521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,97680,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,10,United-States,>50K -57,Private,300104,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K -60,Self-emp-not-inc,327474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -28,Private,125321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,171199,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,131091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -32,Private,318647,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -43,Private,173321,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,75024,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,Canada,<=50K -29,Private,53063,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,204501,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Canada,>50K -35,Private,48404,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,Local-gov,197042,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -22,Private,164901,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,87402,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,173020,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,278403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -55,Private,325007,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K -25,Private,248990,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -37,State-gov,59200,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -39,?,105044,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K -38,Local-gov,94529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3103,0,50,United-States,>50K -46,Private,321327,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K -63,Private,85420,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -21,Private,241367,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -40,Private,190290,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,302604,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -64,?,146272,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3411,0,15,United-States,<=50K -45,Self-emp-not-inc,176814,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3411,0,40,United-States,<=50K -38,Self-emp-not-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,52,United-States,<=50K -34,Private,87218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Private,268147,9th,5,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,?,212529,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -56,Private,28729,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,169983,11th,7,Widowed,Sales,Not-in-family,White,Female,2176,0,30,United-States,<=50K -56,Private,157786,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -48,Federal-gov,110457,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,168931,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,>50K -47,Self-emp-not-inc,174533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,143372,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Local-gov,63042,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -33,Private,321787,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -27,State-gov,205499,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K -41,Private,99870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -17,Local-gov,287160,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,7,United-States,<=50K -33,Private,154981,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K -41,Private,209547,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,State-gov,201293,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Self-emp-not-inc,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -46,Self-emp-not-inc,197836,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K -20,Private,216972,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,145704,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,109282,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,216292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,199694,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,180138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,>50K -29,Private,114870,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,268392,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -67,Local-gov,103315,Masters,14,Never-married,Exec-managerial,Other-relative,White,Female,15831,0,72,United-States,>50K -46,Private,164682,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,271544,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1977,40,United-States,>50K -64,Self-emp-not-inc,178472,9th,5,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,Private,391329,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Private,147265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,127809,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -62,Private,149617,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,16,United-States,<=50K -43,Private,174325,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,203408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -36,Self-emp-inc,176837,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K -31,Private,142675,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -24,Local-gov,203924,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -54,Self-emp-not-inc,57101,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -50,Private,195298,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -71,Private,180733,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,238474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -59,Private,183606,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,109133,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -34,Self-emp-not-inc,24961,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -25,Private,211424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -19,State-gov,378418,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,543477,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,335701,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,44493,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,131650,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K -32,Private,178623,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Female,0,0,46,Trinadad&Tobago,<=50K -18,Private,180725,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -30,Local-gov,352542,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,183203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -21,Private,62339,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,180656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,196044,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Self-emp-not-inc,116613,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K -49,Private,195956,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K -24,Private,216129,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -66,Private,98837,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,50163,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -42,Federal-gov,53727,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K -28,Private,36601,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -59,Private,252714,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,Italy,<=50K -22,Private,214716,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,38032,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,19395,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K -32,Private,27051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K -33,Private,159442,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,106942,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Self-emp-not-inc,192589,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -46,Self-emp-not-inc,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,7298,0,40,United-States,>50K -41,Private,134130,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Private,589809,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,60,United-States,>50K -46,Self-emp-inc,182655,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -27,Private,192698,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,23074,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K -28,Private,109494,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K -30,Self-emp-not-inc,196342,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,167625,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -58,Private,170108,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,198188,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,45,United-States,<=50K -26,Private,282304,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,214635,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,Haiti,<=50K -23,Private,150683,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,272944,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,199688,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K -30,State-gov,111883,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,34419,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -21,Private,129350,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,346963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -67,Local-gov,102690,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -44,Private,139907,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,152307,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,124648,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -20,Private,197767,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K -37,State-gov,210452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -47,Private,171807,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,163083,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K -45,Private,285858,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,Private,150533,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K -44,State-gov,55076,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -27,Private,142712,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K -46,Private,199378,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K -25,Private,22546,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -37,Private,112554,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,286342,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -22,Private,227994,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,39,United-States,<=50K -40,Local-gov,290660,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K -43,Private,350661,Prof-school,15,Separated,Tech-support,Not-in-family,White,Male,0,0,50,Columbia,>50K -43,Private,456236,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,53277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,271935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,543042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K -41,State-gov,100800,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Private,230959,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K -19,Private,222445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -63,Private,67903,9th,5,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Local-gov,327533,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -19,?,423863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -32,Private,187560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K -44,Private,379919,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -58,Federal-gov,30111,Some-college,10,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -26,Private,245465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,346159,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,188064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Canada,<=50K -25,Private,182227,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Poland,<=50K -70,?,30140,9th,5,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,340718,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,232475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,350850,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -28,Private,34532,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K -72,Private,76206,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K -43,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2377,50,United-States,<=50K -75,?,111177,Bachelors,13,Widowed,?,Not-in-family,White,Female,25124,0,16,United-States,>50K -40,Private,168071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K -53,Private,153486,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Self-emp-not-inc,107846,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,109097,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Self-emp-inc,195366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,249409,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,148254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -37,Local-gov,217689,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,32,United-States,<=50K -20,?,81853,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -41,Self-emp-not-inc,238184,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,153133,12th,8,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Private,80933,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,343789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -33,Private,160614,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,37783,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -60,Private,176731,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,198992,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -56,Federal-gov,156229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -26,Self-emp-inc,316688,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -37,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,25236,0,25,United-States,>50K -37,Private,167613,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,433906,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,73411,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,196545,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K -44,Private,237993,Prof-school,15,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K -36,Private,484024,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -82,Self-emp-inc,120408,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,Private,232766,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -19,State-gov,37332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,248730,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -36,Local-gov,126569,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,196307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,Private,176972,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -33,Private,249716,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,Private,208862,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -38,Private,20308,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,?,136455,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,16,United-States,<=50K -19,?,233779,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,96635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -17,Private,226717,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,102092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,343591,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K -35,Private,226528,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Other,Male,0,0,60,England,>50K -21,Private,227411,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,?,138507,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -28,Self-emp-not-inc,191027,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,407672,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,117589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Federal-gov,72436,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K -33,Private,187560,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -35,?,186489,11th,7,Married-civ-spouse,?,Husband,White,Male,0,2603,40,United-States,<=50K -32,Local-gov,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,169269,7th-8th,4,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,199495,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,176756,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,117860,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Private,157932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,188982,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,>50K -58,Private,179715,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -64,Self-emp-not-inc,170421,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,8,United-States,<=50K -43,Self-emp-not-inc,194726,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,163015,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -59,?,218764,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Local-gov,384236,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,302312,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,180339,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -39,Self-emp-not-inc,237532,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,54,Dominican-Republic,>50K -41,Private,173307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,254202,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,State-gov,160369,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -33,Local-gov,557359,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -55,Private,199067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,165097,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,State-gov,235882,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,>50K -44,Self-emp-not-inc,149943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,>50K -42,?,234277,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,Private,103064,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K -43,Private,242804,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,229116,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -51,Self-emp-not-inc,123011,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,177955,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,2176,0,40,El-Salvador,<=50K -76,?,211574,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,<=50K -31,Private,193132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K -30,Local-gov,197886,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,233363,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,158555,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,247552,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,21698,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Local-gov,199995,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -18,Private,198856,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -31,Private,165148,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K -38,Private,127601,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K -62,Private,161460,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,State-gov,243631,10th,6,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -23,Private,245147,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,104892,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K -64,Private,146674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,?,>50K -23,Private,370057,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,24008,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,137229,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -44,Self-emp-not-inc,127482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,England,>50K -31,Private,159979,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -39,Local-gov,112284,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,213307,1st-4th,2,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -56,Self-emp-inc,24127,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K -50,Self-emp-not-inc,386397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Federal-gov,110884,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Private,240979,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,41210,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -43,State-gov,125405,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,137815,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,117944,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -43,Private,114351,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,Private,146117,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -75,Self-emp-not-inc,205860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1735,40,United-States,<=50K -55,Self-emp-not-inc,95149,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -43,Self-emp-not-inc,277488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,246677,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -44,Federal-gov,184099,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -27,Private,114158,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -43,Local-gov,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,167868,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,136077,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Local-gov,165160,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -31,Private,208798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,162381,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,126807,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1411,70,United-States,<=50K -30,Private,257849,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -43,Private,395997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -44,Self-emp-not-inc,38122,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -52,Private,233149,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -38,Self-emp-not-inc,133299,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,190044,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,208066,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,340917,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,267661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -29,Private,163708,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,45,United-States,>50K -58,Self-emp-inc,189933,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -23,Private,143062,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,143807,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,185399,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -62,Federal-gov,171995,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,2829,0,40,United-States,<=50K -30,Private,340917,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,227778,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,56,United-States,<=50K -25,Private,197036,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Federal-gov,260761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,312088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,184428,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,282972,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,United-States,<=50K -39,State-gov,55568,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,State-gov,23740,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K -55,Private,243367,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -31,?,345497,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,186932,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,<=50K -41,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -52,Private,194259,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K -55,Private,188382,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -47,Private,114459,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -18,Private,242615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -28,Private,134890,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,197252,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,State-gov,172700,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Local-gov,381965,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -28,?,291374,10th,6,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -66,State-gov,132055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,40,United-States,>50K -62,Self-emp-not-inc,171315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -27,Private,150025,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -49,Self-emp-not-inc,349986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Federal-gov,155659,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Local-gov,111697,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,260847,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,84954,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2829,0,65,United-States,<=50K -40,Local-gov,244522,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K -44,Self-emp-not-inc,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Germany,<=50K -32,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K -50,Private,44728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -81,Private,177408,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,26,United-States,>50K -36,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,167336,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K -33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -23,Private,113735,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -54,Private,163671,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,65,United-States,>50K -74,?,98867,5th-6th,3,Widowed,?,Not-in-family,Black,Male,0,0,32,United-States,<=50K -56,Private,122390,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -30,Private,104052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,42,United-States,<=50K -34,Private,195860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,219262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -38,State-gov,239539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -44,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -51,Private,183611,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,Germany,<=50K -42,Federal-gov,55457,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,464552,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K -42,Private,256813,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,391016,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,300681,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Jamaica,>50K -35,Private,187022,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,190541,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -32,Self-emp-not-inc,62165,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -22,Private,60668,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,157950,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -47,Self-emp-not-inc,326292,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -56,Private,229525,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -32,?,42894,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K -18,Private,164571,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,306678,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,232664,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,200199,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -36,Private,230329,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,67234,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -81,Private,106390,5th-6th,3,Widowed,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K -20,Private,316043,11th,7,Never-married,Other-service,Own-child,Black,Male,594,0,20,United-States,<=50K -35,?,171062,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,40,England,<=50K -27,?,189399,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Federal-gov,196307,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,191515,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Self-emp-not-inc,127493,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,2,United-States,<=50K -67,Local-gov,256821,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,20,United-States,<=50K -28,?,147719,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,48,India,<=50K -20,Private,212668,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -28,Private,111900,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -55,Self-emp-inc,392325,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -41,Private,79864,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,185744,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -48,Self-emp-not-inc,200471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,330695,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,State-gov,33798,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,184579,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,282611,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,116546,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,298546,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -37,Self-emp-inc,107164,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2559,50,United-States,>50K -38,Private,314007,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -67,Self-emp-inc,168370,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,106900,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,197683,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -19,?,43739,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,176751,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -55,Self-emp-not-inc,141122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,392668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,84,United-States,>50K -69,?,195779,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K -51,State-gov,231495,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -21,Private,262634,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,United-States,<=50K -33,Private,203488,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,107617,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,>50K -26,Private,212798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -22,Private,341368,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,344351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,175537,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -27,Private,133425,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Local-gov,297449,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -19,?,47713,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,194640,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,124090,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,248011,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -24,Private,148320,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,209051,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -26,Private,259585,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,<=50K -53,Private,152883,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -64,State-gov,277657,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -30,Private,170130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,148294,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,367306,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -74,?,169303,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,6767,0,6,United-States,<=50K -34,Private,349148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,144284,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,187376,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -20,Private,299399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,Local-gov,207383,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,152958,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -67,Self-emp-not-inc,226092,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K -51,Private,194908,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,216666,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -33,Private,207267,10th,6,Separated,Other-service,Unmarried,White,Female,3418,0,35,United-States,<=50K -62,?,141218,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -34,Private,270488,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,189487,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,463194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,182918,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,46,United-States,>50K -35,Self-emp-not-inc,185848,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K -43,Self-emp-not-inc,182217,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -30,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,95465,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K -53,Private,195813,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,5178,0,40,Puerto-Rico,>50K -51,Private,194995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,219553,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Self-emp-not-inc,148959,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -55,Self-emp-not-inc,204387,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,175674,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,195963,7th-8th,4,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,48,Puerto-Rico,<=50K -35,Private,202027,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,35,United-States,>50K -72,Private,56559,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -41,Local-gov,33068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1974,40,United-States,<=50K -38,Private,257942,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -25,Private,263773,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Self-emp-inc,186035,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -38,State-gov,91670,Some-college,10,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -26,?,167835,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -39,Private,212840,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,171114,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,343742,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -62,Private,209844,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -62,Private,664366,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -57,Federal-gov,223892,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -28,Private,203171,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Local-gov,159032,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -37,State-gov,367237,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -37,Private,124293,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -46,Self-emp-inc,340651,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,1977,60,United-States,>50K -29,?,108126,9th,5,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K -41,Private,280167,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K -41,State-gov,52131,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,215990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,119721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,401998,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Private,243842,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,239171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,393354,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K -48,?,184513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K -31,Private,337505,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -39,Private,31964,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -32,Private,97359,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,312500,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,32289,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,243923,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,80,United-States,<=50K -26,Private,127202,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,116773,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,?,<=50K -32,Private,294121,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,Private,258339,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Iran,<=50K -21,Private,272237,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,128699,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,State-gov,176949,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -30,Private,113453,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -20,?,369907,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -53,State-gov,195690,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -46,State-gov,327786,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,42,United-States,<=50K -36,Self-emp-inc,141609,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,State-gov,222434,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,231348,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,197651,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,188069,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -22,Private,110677,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -24,?,316524,Bachelors,13,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,227594,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K -28,Private,25955,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,198286,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,268553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,236379,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,89734,Some-college,10,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,42,United-States,<=50K -49,Local-gov,197371,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -30,Federal-gov,234994,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,38223,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -28,?,196971,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K -42,?,191149,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,28,United-States,>50K -40,Private,336707,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,<=50K -45,Private,178922,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,Private,167737,Bachelors,13,Widowed,Other-service,Own-child,White,Male,0,1974,50,United-States,<=50K -64,Private,86972,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,97212,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,2001,25,United-States,<=50K -45,Self-emp-not-inc,210364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,80,United-States,>50K -57,Private,70720,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K -59,Federal-gov,293971,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -25,?,35829,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K -43,Self-emp-not-inc,336763,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,880,42,United-States,<=50K -68,Private,144056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,40,United-States,<=50K -31,Private,180551,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -21,Private,184135,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,1,United-States,<=50K -28,Private,115438,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,433788,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Local-gov,256356,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -33,?,177824,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,271828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,19302,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,171095,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,England,<=50K -19,Private,184710,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,224147,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -44,Private,230684,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,102076,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -50,Private,369367,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,67804,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K -29,State-gov,71592,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -54,Self-emp-inc,103794,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,5721,0,35,United-States,<=50K -36,Private,29984,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,108069,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,228960,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,114032,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -29,Private,37088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,362059,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,32,United-States,<=50K -36,Private,89040,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K -20,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -65,?,258973,Some-college,10,Widowed,?,Not-in-family,White,Female,401,0,14,United-States,<=50K -39,Private,128715,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K -41,Local-gov,107327,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,181659,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,339956,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -43,Private,163985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,82161,10th,6,Widowed,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K -31,Private,45604,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K -45,Self-emp-inc,363298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -38,Private,101833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K -38,Self-emp-inc,107909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,287037,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -27,Private,106562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -36,Local-gov,321247,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,265371,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,80680,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,35,United-States,<=50K -42,Private,24364,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -42,Private,341178,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,Mexico,<=50K -62,Private,211408,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Private,187510,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,100734,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Private,174209,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,318886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -38,State-gov,352628,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,?,78375,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,164612,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -55,Local-gov,223716,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,206862,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -68,Private,90526,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,89942,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,332657,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,202560,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -40,Federal-gov,544792,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,159641,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K -32,Local-gov,206609,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,163595,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,193144,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,91501,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,190719,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,?,109108,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,31740,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -35,Private,112158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,178066,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,24,United-States,<=50K -28,Private,359049,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,1092,60,United-States,<=50K -19,Private,311293,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -63,Private,163809,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Self-emp-inc,197496,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -42,State-gov,341638,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,197176,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,>50K -61,Self-emp-not-inc,96073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,England,>50K -64,Private,260082,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -46,Private,165138,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,177955,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,Mexico,<=50K -64,Private,171373,11th,7,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,336951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -57,Local-gov,47392,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,267866,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1887,50,Iran,>50K -24,Private,214555,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,252392,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,51543,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,173736,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,119522,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,142566,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,226943,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -46,Private,169042,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Ecuador,<=50K -44,Self-emp-not-inc,180096,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -26,Private,94392,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -40,Local-gov,99666,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -50,Private,116933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -30,Self-emp-not-inc,429281,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,?,<=50K -28,Local-gov,257124,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -52,Private,191529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,60,United-States,<=50K -39,Private,150125,Assoc-acdm,12,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,143068,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Local-gov,134813,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K -24,Private,200295,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,244571,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -25,Private,210184,11th,7,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,235646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,175413,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K -28,Private,405793,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -47,State-gov,142287,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -37,Private,360743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,351757,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,30,El-Salvador,<=50K -40,Private,109800,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,286675,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -50,Private,148953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -57,Private,348430,1st-4th,2,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Portugal,<=50K -18,?,80564,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -45,State-gov,190406,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Male,25236,0,36,United-States,>50K -48,Self-emp-not-inc,82098,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,United-States,<=50K -39,Self-emp-not-inc,107233,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,Private,123681,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,117222,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,100821,HS-grad,9,Married-spouse-absent,Priv-house-serv,Not-in-family,Black,Female,0,0,36,United-States,<=50K -32,Private,211239,Some-college,10,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -53,Local-gov,135102,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2002,45,United-States,<=50K -69,State-gov,159191,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,38,United-States,<=50K -31,Private,213002,12th,8,Never-married,Sales,Not-in-family,White,Male,4650,0,50,United-States,<=50K -42,Private,144995,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -19,?,232060,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -59,Local-gov,240030,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,154043,HS-grad,9,Widowed,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -23,Private,140764,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,1590,40,United-States,<=50K -19,?,41609,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -21,Private,351381,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,175958,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -32,?,285131,Assoc-acdm,12,Never-married,?,Unmarried,White,Male,0,0,20,United-States,<=50K -34,Self-emp-not-inc,120672,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,10,United-States,<=50K -35,Private,166606,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,318331,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,176831,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -39,Local-gov,207853,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,145402,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,35,United-States,<=50K -43,Self-emp-inc,172826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K -28,Private,212563,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,25,United-States,<=50K -45,State-gov,199326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -42,Self-emp-not-inc,98061,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,41763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K -37,Private,389725,12th,8,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -52,Private,229375,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,105304,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,124810,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,174163,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,390369,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,153066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -47,Self-emp-not-inc,102583,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -33,Private,355996,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,237386,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Federal-gov,244473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -47,Private,70754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,198841,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K -36,State-gov,170861,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -24,Private,188505,Bachelors,13,Married-AF-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -21,Private,312956,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,198587,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,133403,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -60,?,199947,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -44,Private,96321,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,136177,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -30,Private,190511,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -58,?,141409,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,274913,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -18,Private,176653,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K -57,Private,89182,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,133336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -52,Private,135033,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Ecuador,<=50K -38,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -48,Private,44907,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Private,219446,9th,5,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,54,Mexico,<=50K -44,Private,99651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -41,Local-gov,183009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -59,Private,170988,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -20,Local-gov,247794,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -21,Private,349365,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,182676,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,38,Mexico,<=50K -17,Private,115551,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,163606,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Local-gov,90956,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,169092,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,Canada,>50K -28,Federal-gov,341709,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,275446,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,114939,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -28,State-gov,624572,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -90,?,50746,10th,6,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -33,Private,198452,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,?,58740,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -41,Private,197093,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K -31,Private,332379,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -45,Private,304570,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -30,Private,99928,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,172582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -40,Private,406811,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K -51,Private,161838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,57,United-States,<=50K -58,Private,223214,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -44,Private,185798,Assoc-voc,11,Separated,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K -25,Private,122175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Local-gov,144949,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,254672,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2354,0,40,United-States,<=50K -65,Private,282779,Masters,14,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,>50K -39,Private,150217,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -31,Private,204052,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,342019,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,123490,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -30,Private,303867,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K -41,Private,221947,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -73,Self-emp-not-inc,143833,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,18,United-States,<=50K -28,Private,175431,9th,5,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,114758,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -57,Private,259010,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K -17,Private,178953,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -60,Federal-gov,248288,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,125492,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,160594,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,United-States,<=50K -37,Local-gov,175120,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -67,?,46449,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -29,State-gov,237028,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,State-gov,295589,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -63,?,68954,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,11,United-States,<=50K -28,Private,192588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,107801,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,149102,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,2174,0,60,Poland,<=50K -67,Private,274451,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -48,Private,178137,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,44,United-States,<=50K -34,Private,235124,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -38,Local-gov,29075,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,5013,0,40,United-States,<=50K -19,Private,125010,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -37,Private,454024,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -37,Private,314963,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,166497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -46,Private,162030,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -38,Private,54317,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,149161,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,<=50K -27,Private,207611,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,199378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,22,United-States,<=50K -47,Self-emp-not-inc,165468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -23,Private,234460,7th-8th,4,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K -43,State-gov,310969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,164461,11th,7,Divorced,Sales,Unmarried,White,Male,0,653,40,United-States,<=50K -36,Private,228190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,<=50K -53,Self-emp-not-inc,197014,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Self-emp-not-inc,151868,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,65,United-States,<=50K -27,Private,42734,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -26,Local-gov,192944,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,109390,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,129661,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -60,Local-gov,169015,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,653574,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,33,El-Salvador,<=50K -30,Private,203488,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -32,Private,256362,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Local-gov,180342,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -35,Federal-gov,179262,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,190895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -38,Private,192337,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,234663,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,255847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,186982,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -20,Private,216472,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -52,Private,139347,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -58,Private,102791,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,198229,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,>50K -57,Self-emp-not-inc,175942,Some-college,10,Widowed,Exec-managerial,Other-relative,White,Male,0,0,25,United-States,<=50K -39,Federal-gov,175232,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1977,60,United-States,>50K -43,Federal-gov,211763,Doctorate,16,Separated,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,>50K -17,Private,114420,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -17,?,187539,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -42,Private,169980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,>50K -42,Private,190767,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,54012,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,155124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -39,Federal-gov,116608,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -73,Private,267408,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K -27,Private,445480,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Local-gov,267588,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,<=50K -63,Private,106023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,33521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -25,Private,364631,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Mexico,<=50K -19,Private,323810,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,169628,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K -31,State-gov,1033222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,471990,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,46,United-States,>50K -20,Private,37783,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -34,Private,69251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -34,Private,21755,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,63,United-States,<=50K -36,Local-gov,101833,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,182006,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,4416,0,30,United-States,<=50K -21,Private,215039,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,52978,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,1721,55,United-States,<=50K -29,Private,170301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2829,0,40,United-States,<=50K -28,Private,185647,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,170263,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -71,Private,99894,5th-6th,3,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,75,United-States,<=50K -25,Private,323545,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Private,246440,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,111700,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,20,United-States,>50K -49,Private,163229,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,30269,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,7298,0,32,United-States,>50K -22,Private,309178,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,279288,10th,6,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K -71,Private,216608,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,?,476653,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -39,Self-emp-not-inc,360814,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,49027,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Self-emp-not-inc,202920,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,99999,0,40,Dominican-Republic,>50K -55,Private,256796,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -58,Private,164857,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -36,Private,108320,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -63,?,221592,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,85918,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K -21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -29,Self-emp-inc,266070,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -45,?,215943,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,174413,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Self-emp-not-inc,197387,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,274948,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Self-emp-not-inc,146161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -73,Private,53114,Some-college,10,Widowed,Sales,Not-in-family,White,Female,2538,0,20,United-States,<=50K -51,Federal-gov,174102,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -49,Private,243190,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,185041,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,45,United-States,<=50K -27,Private,215504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,55,United-States,>50K -53,Local-gov,186303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -48,Self-emp-not-inc,133694,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,>50K -49,Local-gov,275074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,436798,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,295055,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,38223,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K -68,Private,159191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,196564,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,123174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,37,?,>50K -25,Private,121789,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -25,Private,166415,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,52,United-States,<=50K -63,Self-emp-not-inc,74991,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K -25,Private,224943,Some-college,10,Married-spouse-absent,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -20,Private,280714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,111900,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,178678,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,1380,50,United-States,<=50K -35,Private,297485,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,202745,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K -29,Private,250967,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,242589,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K -27,Private,401723,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,?,274746,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -32,Federal-gov,177855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -36,Private,114366,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -60,?,41517,11th,7,Married-spouse-absent,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -50,State-gov,89652,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -49,Private,114797,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,176967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -71,?,46836,7th-8th,4,Separated,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K -34,Private,69251,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -30,Local-gov,233993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,337039,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,14344,0,40,England,>50K -42,Private,186689,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,60,United-States,<=50K -39,Private,191161,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -27,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -33,Local-gov,246291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K -59,Private,131869,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -40,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K -33,Private,224258,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,>50K -67,Self-emp-not-inc,123393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,6418,0,58,United-States,>50K -51,Private,259363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,132179,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,203735,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,193285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -27,Private,214695,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,60,United-States,<=50K -35,Private,37314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -30,Local-gov,247328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,193385,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -20,Private,201204,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,135436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -47,Local-gov,178309,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-inc,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -32,Self-emp-not-inc,112115,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -41,Self-emp-not-inc,227065,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,?,404601,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2414,0,30,United-States,<=50K -49,Local-gov,223342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -66,Private,216856,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -29,State-gov,188986,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1590,64,United-States,<=50K -19,State-gov,73009,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -23,Private,37783,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,402539,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,55284,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -47,Self-emp-not-inc,237731,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,65,United-States,<=50K -69,Self-emp-not-inc,58213,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K -38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,236242,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,1590,40,United-States,<=50K -26,Private,332008,Some-college,10,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,37,Taiwan,<=50K -44,Private,171256,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,45,United-States,<=50K -19,Private,376683,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,2036,0,30,United-States,<=50K -23,Private,193537,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -42,Private,29962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,175987,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,240172,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K -23,Private,177287,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -57,Private,201232,HS-grad,9,Married-civ-spouse,Priv-house-serv,Husband,White,Male,0,0,30,United-States,<=50K -26,Private,167350,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,50,United-States,<=50K -73,?,65072,10th,6,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -38,Private,220585,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,144822,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -35,Private,62669,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -43,Private,185832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -64,Private,217802,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,95471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -26,Private,359543,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -29,Private,263855,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Local-gov,152754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,66194,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Outlying-US(Guam-USVI-etc),<=50K -41,Private,266530,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -47,Private,102308,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,245090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -51,Self-emp-inc,335902,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,55,United-States,<=50K -56,Self-emp-not-inc,175964,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,59146,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -60,Private,187458,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,336042,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,194293,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,38,United-States,<=50K -46,Private,91608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,197344,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,232666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,136455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Local-gov,43702,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -46,Private,169711,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,408385,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,64292,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,48972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,96076,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,State-gov,39380,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,State-gov,190910,HS-grad,9,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,270075,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K -18,Private,92112,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -50,Private,266945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3137,0,40,El-Salvador,<=50K -49,Private,294671,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,173858,Prof-school,15,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -34,Self-emp-not-inc,254304,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,90,United-States,<=50K -46,Private,205816,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -25,Private,51498,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,312766,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -74,?,272667,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,156687,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,India,<=50K -69,Private,182862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,15831,0,40,United-States,>50K -38,State-gov,185180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -52,Private,403027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -76,Private,70697,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,293196,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Iran,>50K -49,?,178341,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,7688,0,50,United-States,>50K -33,Local-gov,171889,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,43,United-States,<=50K -26,Self-emp-not-inc,219897,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Private,246396,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -34,Federal-gov,189944,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K -73,Private,57435,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -25,Private,36943,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -19,Private,138946,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,229472,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,75227,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K -41,Local-gov,359259,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -70,?,336007,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -34,Private,149943,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -30,Private,323069,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Self-emp-not-inc,176756,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,100079,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K -55,Private,198385,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,20,?,<=50K -46,Self-emp-inc,120131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -25,Private,75759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -31,Private,282173,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -42,Self-emp-not-inc,32546,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K -33,State-gov,137616,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K -61,Self-emp-not-inc,243019,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,316509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,136331,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,240543,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,256861,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,196001,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,State-gov,364958,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K -45,Private,214627,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Male,15020,0,40,Iran,>50K -28,Private,153813,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -42,Self-emp-not-inc,248094,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,132636,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -37,Private,176293,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,248694,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,147098,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,2444,60,United-States,>50K -42,Self-emp-inc,168071,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K -23,Private,42401,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -56,?,35723,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,98092,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,188693,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,57233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -65,Private,172510,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,1848,0,20,Hungary,<=50K -24,Private,72143,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,44489,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K -52,Private,177942,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,447346,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -51,Private,207419,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -53,Private,154891,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,200471,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -31,Private,29144,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,359001,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K -66,?,37331,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -46,Private,224559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -26,Private,369166,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Female,0,0,65,United-States,<=50K -53,Private,139522,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1573,40,Italy,<=50K -21,Private,147884,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,230919,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -23,?,234108,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -64,Private,256019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,311376,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,121023,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -50,State-gov,133014,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,390369,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Mexico,<=50K -43,Self-emp-inc,342510,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,60,United-States,>50K -50,Private,249096,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -25,Private,141876,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,311534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -46,Private,158656,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -36,State-gov,168894,Assoc-voc,11,Married-spouse-absent,Protective-serv,Own-child,White,Female,0,0,40,Germany,<=50K -35,State-gov,140564,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -68,?,188102,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -24,Private,163665,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,2174,0,40,United-States,<=50K -49,Private,32212,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K -23,Private,103588,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,33717,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,219307,9th,5,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,213081,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -45,Private,114459,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Private,118310,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K -24,Private,198349,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -66,?,213149,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1825,40,United-States,>50K -28,Private,66434,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -29,Local-gov,180916,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -36,Private,297449,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K -23,Private,189203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,55395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,205852,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,115839,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -19,Private,249609,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,8,United-States,<=50K -71,?,45801,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -39,Private,144169,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -79,Self-emp-not-inc,103684,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,94071,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,252187,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -23,Private,200967,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -20,Private,27337,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -33,Private,231826,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -41,Self-emp-not-inc,89942,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,45,United-States,<=50K -47,Private,420986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,209970,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,133669,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,204935,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,56,United-States,<=50K -24,Private,249956,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,29974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,122246,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -47,Private,101684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,336880,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,?,302836,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,El-Salvador,<=50K -50,Local-gov,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -37,Private,312271,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K -39,Private,91711,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,104146,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,State-gov,104280,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -23,Private,183772,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,70,United-States,<=50K -23,Private,102652,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,State-gov,224149,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -44,Local-gov,60735,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -57,Private,217886,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -67,?,350525,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,>50K -37,Private,373895,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -32,Private,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,203785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,Private,230482,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,199998,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,32,United-States,<=50K -18,?,24688,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,161153,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,119422,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,109766,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -41,Private,264663,Some-college,10,Separated,Prof-specialty,Own-child,White,Female,0,3900,40,United-States,<=50K -48,Private,105808,9th,5,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K -52,Local-gov,317733,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -39,Self-emp-inc,128715,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,Private,252563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,155965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,139473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,453663,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -51,Local-gov,114508,9th,5,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Private,251196,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K -27,Private,140863,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Self-emp-not-inc,264627,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,84,United-States,<=50K -35,Private,222868,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,213977,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,State-gov,97030,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Private,174575,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -28,Private,33798,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,111385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,271521,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K -35,Private,100375,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -41,?,119207,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,281030,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,66,United-States,<=50K -52,Private,162576,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -47,Private,46857,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -82,Self-emp-inc,220667,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,179352,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,68898,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -40,Private,32533,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -49,Private,235095,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,152369,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -49,Federal-gov,35406,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,Private,334522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,329432,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,State-gov,180283,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,89625,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,5,United-States,>50K -32,Private,286675,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -53,Private,64322,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,332928,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,46442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,50,United-States,>50K -44,Private,201908,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -35,Self-emp-not-inc,169426,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,193241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -42,Private,45156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,113464,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -19,Private,318002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,221740,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -23,Private,200967,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -39,Private,107302,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K -36,Private,143123,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Self-emp-not-inc,224361,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -49,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -59,Private,189721,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,>50K -20,?,239805,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,16,United-States,<=50K -42,Private,234633,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -61,Private,142922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,329026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -78,?,109498,9th,5,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K -18,?,423460,11th,7,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -25,Local-gov,190057,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -61,?,222395,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,220066,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Federal-gov,128378,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Local-gov,229223,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,>50K -31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,?,216068,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,5178,0,12,United-States,>50K -69,Local-gov,122850,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -41,Local-gov,22155,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -41,Private,143046,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,246739,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -49,Private,153536,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,44,United-States,>50K -41,Private,304605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -71,Self-emp-inc,66624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,60,United-States,>50K -22,?,27937,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -58,?,32521,11th,7,Married-spouse-absent,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,162945,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -62,?,198170,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -26,Private,222539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,?,112860,10th,6,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K -36,Self-emp-not-inc,205607,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -61,Private,260062,10th,6,Never-married,Other-service,Own-child,White,Female,4416,0,38,United-States,<=50K -22,Private,147227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,157894,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -37,Private,248919,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,66,Mexico,<=50K -19,Private,208506,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,28,United-States,<=50K -38,Private,86551,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K -37,Private,212900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,168355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -18,Self-emp-not-inc,207438,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -39,Local-gov,357962,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -53,Private,196328,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,217460,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,273049,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,114605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,115562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -22,?,120572,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,349190,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -80,Self-emp-not-inc,248568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,70076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,98980,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,111520,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,34,United-States,<=50K -21,Private,43587,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -18,Private,260801,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,280298,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -47,Federal-gov,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -22,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -30,Local-gov,115040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -34,Private,140092,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,33300,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -31,Private,117659,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,151382,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -19,Local-gov,43921,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,106900,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,65624,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -29,Local-gov,188909,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K -30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -33,Self-emp-inc,40444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,369114,HS-grad,9,Separated,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,342434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,Private,240837,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,169180,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Hong,<=50K -57,Private,137653,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,19847,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,426431,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -33,Private,48520,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,228686,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -78,Local-gov,136198,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K -25,Private,164229,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,2597,0,40,United-States,<=50K -19,Self-emp-not-inc,342384,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,2129,55,United-States,<=50K -64,Private,110212,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,69311,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,177142,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Local-gov,110172,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,403037,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,92863,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,State-gov,19513,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -42,Private,245565,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,England,<=50K -20,Private,119665,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,?,362685,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,20,El-Salvador,<=50K -37,Self-emp-inc,198841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Private,32989,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,?,146651,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,15,United-States,<=50K -37,Private,221850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Ecuador,>50K -45,Local-gov,224474,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,4934,0,50,United-States,>50K -52,Self-emp-inc,206054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,191175,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,2179,50,Mexico,<=50K -40,Private,95639,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -32,Private,207668,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,50,United-States,>50K -29,Local-gov,214385,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K -44,Private,160369,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Self-emp-not-inc,175710,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -52,Federal-gov,418640,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,Haiti,>50K -42,Private,339814,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-inc,129573,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K -24,Private,357028,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,152351,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -71,Private,77253,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,17,United-States,<=50K -28,Private,300915,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -71,?,144461,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,3456,0,16,United-States,<=50K -37,Self-emp-inc,328466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,258700,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K -29,Private,192010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Poland,<=50K -53,Private,196763,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -27,Federal-gov,46442,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,227890,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K -23,Private,182117,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -67,State-gov,121395,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,12,United-States,<=50K -31,Private,500002,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -49,Private,390746,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,45,Ireland,<=50K -72,Without-pay,121004,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,268525,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,191821,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,77357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,186420,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Self-emp-not-inc,45880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,165001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -56,Local-gov,242670,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,216436,Bachelors,13,Never-married,Sales,Other-relative,Black,Female,0,0,30,United-States,<=50K -57,Self-emp-not-inc,134286,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,156566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -69,Private,271312,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,49893,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Private,271918,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -41,State-gov,88913,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K -37,Self-emp-not-inc,192251,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K -58,Self-emp-not-inc,321171,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,117028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,381153,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,334744,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -60,Private,137344,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,70919,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,58972,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,1506,0,40,United-States,<=50K -57,Private,178353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -58,Self-emp-not-inc,450544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,305319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Private,166809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Private,158092,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,169872,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,3887,0,45,United-States,<=50K -27,Local-gov,133495,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,152066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,64293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,?,35523,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,79586,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,?,>50K -25,Private,155320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -21,Private,140001,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,244341,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,185041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -24,Private,233419,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Federal-gov,103651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -22,Private,175883,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -77,Private,123959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -26,Federal-gov,48853,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,Cuba,<=50K -66,?,306178,10th,6,Divorced,?,Not-in-family,White,Male,2050,0,40,United-States,<=50K -42,Private,156580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,United-States,>50K -39,Federal-gov,314822,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,191822,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -35,Private,208378,12th,8,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,231482,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,141350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -55,Federal-gov,169133,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,328447,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -40,Private,91836,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,111545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -47,?,191776,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -23,Private,133712,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K -37,Self-emp-not-inc,183127,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,321456,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,39239,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -66,?,186030,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -56,Private,193453,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K -60,State-gov,113544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Private,353787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,261419,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -46,Private,201699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,186213,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -37,Private,117567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,139012,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,2174,0,40,Vietnam,<=50K -31,Private,62165,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -43,State-gov,114508,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,222142,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K -21,Local-gov,300812,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,162264,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,State-gov,197184,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -17,Private,230999,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -25,Private,87487,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -42,Private,106679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -55,Private,176219,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -45,Private,325390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,338316,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,76129,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Guatemala,<=50K -48,Private,278303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -64,Self-emp-inc,487751,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,State-gov,188386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -30,Private,231263,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,50837,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,108706,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,173854,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K -61,?,161279,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -24,Private,217961,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,55567,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,91275,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -39,Private,94036,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,29887,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -18,Private,182042,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -65,?,91262,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,48,United-States,>50K -28,Private,194472,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,31740,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -52,Private,208570,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,202435,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K -80,?,281768,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -30,State-gov,576645,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -61,Private,89686,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -41,Local-gov,248406,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,137367,11th,7,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -37,Self-emp-not-inc,334291,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,379883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,>50K -43,Private,176452,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K -50,Private,243322,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,117728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,182677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -23,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Self-emp-not-inc,80914,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,267086,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,52,United-States,<=50K -45,Private,255348,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,174201,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,144002,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,235071,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -33,Private,204780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,40,United-States,>50K -42,Local-gov,142049,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,32,United-States,<=50K -56,Federal-gov,67153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Portugal,>50K -34,Self-emp-not-inc,28568,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -36,Private,115336,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -40,Private,304530,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,129173,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Local-gov,329426,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,213431,HS-grad,9,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,280362,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,98776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,State-gov,121471,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,70240,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,328301,Assoc-acdm,12,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,168211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -27,Private,321577,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,272343,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,116358,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -34,Private,114639,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -25,Private,366416,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,380922,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K -49,Federal-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,123778,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -30,Self-emp-not-inc,115932,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,50,United-States,>50K -35,Private,197719,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -29,Private,166320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,115834,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,55,United-States,>50K -39,Local-gov,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,720428,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -30,State-gov,295612,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,?,233014,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,212235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,123031,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -46,Local-gov,192235,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,235109,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Local-gov,127491,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,5721,0,40,United-States,<=50K -32,Private,34104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,175070,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -23,Private,289909,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,106615,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K -38,Private,194538,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -57,Private,298507,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -19,State-gov,176634,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,146497,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -41,Private,253060,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,148884,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -59,Private,99131,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K -45,Private,167617,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,215110,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,242089,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,43705,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,36651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K -42,Private,222884,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -37,Private,138940,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K -60,Private,69955,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -22,Private,192289,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Puerto-Rico,<=50K -33,Self-emp-not-inc,112952,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -21,Private,184543,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,164280,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K -29,Private,189346,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -80,Private,86111,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -28,?,127833,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,181920,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -25,Private,190107,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Federal-gov,172046,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,295334,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -21,Private,187088,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,Cuba,<=50K -32,Federal-gov,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,268952,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -67,?,40021,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,89202,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,288568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,224849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,96564,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,221418,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,80312,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -27,Private,58150,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,282389,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,164386,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -45,Private,108859,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,?,153302,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -36,Private,212433,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,119215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,117310,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -55,Self-emp-not-inc,349910,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-not-inc,185129,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -39,Local-gov,239119,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K -52,Federal-gov,424012,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Self-emp-inc,154782,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K -54,Private,338089,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,214542,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,Canada,<=50K -36,Private,202662,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Private,137733,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Private,228157,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -38,Private,200352,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,124589,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,291192,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,187919,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -65,Self-emp-inc,116057,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,6723,0,40,United-States,<=50K -32,Private,235862,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,188503,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K -43,Private,185129,Bachelors,13,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -40,State-gov,255824,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,268781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -23,Private,163687,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,379710,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,236379,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -41,Private,309932,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,223548,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K -20,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,322674,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -52,Self-emp-not-inc,40200,Some-college,10,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,35,United-States,<=50K -44,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,119704,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -40,Private,360884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K -54,Private,93605,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,226145,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,201865,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,223433,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -41,Private,50122,Assoc-voc,11,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,119929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,299813,9th,5,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,Dominican-Republic,<=50K -29,Local-gov,383745,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1485,40,United-States,>50K -35,?,333305,Some-college,10,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,198554,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Self-emp-inc,140915,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Other,Male,0,0,40,France,>50K -39,Private,680390,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,24,United-States,<=50K -41,Private,54422,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -47,Private,110669,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -55,Private,197399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -29,Private,211299,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,45,United-States,<=50K -42,Self-emp-not-inc,93099,Some-college,10,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,257509,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -65,?,263125,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2290,0,27,United-States,<=50K -21,Private,227220,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,33,United-States,<=50K -30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -52,State-gov,109600,Masters,14,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,4787,0,44,United-States,>50K -35,Private,116541,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,44,United-States,>50K -39,Private,166697,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -21,?,202214,Some-college,10,Never-married,?,Own-child,White,Female,0,1721,40,United-States,<=50K -42,Private,256448,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -22,State-gov,177787,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -24,Private,216984,Some-college,10,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -37,Private,199251,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,279680,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,308365,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,38,United-States,<=50K -67,Private,134906,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -67,?,150516,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,3,United-States,<=50K -36,Private,134367,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -44,Private,105862,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,70,United-States,>50K -43,Private,106760,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,Canada,>50K -35,?,195946,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -32,Private,71540,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -29,Federal-gov,301010,Some-college,10,Never-married,Armed-Forces,Not-in-family,Black,Male,0,0,60,United-States,<=50K -22,Private,138768,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,143766,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K -23,Private,60668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -25,Private,267431,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,55,United-States,<=50K -51,Self-emp-not-inc,103257,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,234096,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,194630,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4787,0,43,United-States,>50K -27,Federal-gov,190653,Assoc-voc,11,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,?,>50K -50,Private,99392,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K -41,Private,190591,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -36,Private,101192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,State-gov,80282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -72,?,114761,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K -41,Private,344624,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -38,Private,108726,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,185283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,203181,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -57,Private,109015,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -47,Private,47496,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -23,Private,303121,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,245211,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,360494,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,281315,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -58,Private,169611,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Local-gov,249039,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,189203,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,?,401273,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -30,Private,165235,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -46,State-gov,238648,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,40,United-States,>50K -30,Private,131699,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,174789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -23,?,226891,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -29,Private,77572,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -22,Private,200593,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,155434,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -28,Private,410450,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,England,>50K -20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,Canada,<=50K -19,Private,124486,12th,8,Never-married,Other-service,Own-child,White,Male,0,1602,20,United-States,<=50K -36,?,214896,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -42,Private,109067,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,130620,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,>50K -34,Private,33945,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,55,United-States,<=50K -42,Private,341638,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,66118,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,168138,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -63,Private,113756,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,146687,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,39986,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1740,56,United-States,<=50K -50,Self-emp-not-inc,167380,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,?,206671,Some-college,10,Never-married,?,Own-child,White,Male,1055,0,50,United-States,<=50K -53,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,182123,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -26,Private,123384,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -39,Private,57691,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K -61,Private,143837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,410034,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -29,Private,190303,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,2463,0,15,United-States,<=50K -45,Private,175262,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -50,State-gov,24647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -45,Private,178215,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -53,Self-emp-inc,99185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,Greece,<=50K -29,Private,108574,Assoc-voc,11,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,206521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,Private,263574,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,168381,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,>50K -39,Self-emp-inc,143123,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2415,40,United-States,>50K -33,Private,125761,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K -45,Private,330087,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,52262,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,215310,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -49,Private,98092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,118023,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,208358,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -65,Private,113293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,211361,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K -17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -30,Private,209103,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,188950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Private,91209,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,115198,9th,5,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,48,United-States,<=50K -45,Private,54314,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -46,Private,186820,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K -35,Private,189922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,?,98389,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,10,United-States,<=50K -65,Federal-gov,179985,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,49087,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,334368,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,181983,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,England,>50K -25,Private,124483,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K -22,Local-gov,238831,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -62,?,122433,10th,6,Divorced,?,Unmarried,White,Male,0,0,35,United-States,<=50K -24,Private,170070,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -38,Private,83727,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K -54,Private,349340,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -49,Private,132576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,44064,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,2559,40,United-States,>50K -28,Private,159724,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,136077,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Private,390879,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -35,Private,176544,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,1741,50,United-States,<=50K -44,Private,193882,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Federal-gov,194740,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,?,54953,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -42,Private,56483,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,146189,HS-grad,9,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,78,United-States,<=50K -47,Private,34248,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,198282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,198170,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,103948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -32,Private,182714,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -49,Private,43348,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Private,123989,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,188330,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,?,283531,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -35,State-gov,154410,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,108019,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K -28,Private,395022,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -27,?,204773,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,171886,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -25,Private,362826,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K -18,Private,104704,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -18,Private,131825,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,United-States,<=50K -34,Private,394447,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2463,0,50,France,<=50K -42,Private,57600,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Local-gov,76081,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,State-gov,86618,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -39,Private,22494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,114967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,135439,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -33,Self-emp-not-inc,310525,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K -35,Private,125933,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Private,238216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,296485,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,126517,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K -31,Private,356410,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -28,Private,334368,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -39,Private,360494,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,133126,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Local-gov,256253,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -46,Local-gov,238162,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K -42,Private,154374,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -21,Private,214387,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,64,United-States,<=50K -29,Private,192237,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,201410,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,45,Philippines,>50K -60,Private,132529,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,360689,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,98776,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -17,Private,148522,11th,7,Never-married,Other-service,Own-child,White,Male,0,1721,15,United-States,<=50K -45,Private,44489,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,10,United-States,<=50K -57,Private,94429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,55929,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -25,Private,267012,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,109917,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,326064,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,6497,0,35,United-States,<=50K -30,State-gov,260782,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,129980,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -71,?,116165,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K -37,State-gov,160402,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -51,Self-emp-not-inc,199005,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -30,Private,45781,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,170125,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,140764,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -38,Private,337130,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -27,Private,178778,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,179237,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,257328,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,115613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -36,Private,131414,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K -46,Private,70754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,39128,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -41,Private,297186,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,218062,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -71,Federal-gov,422149,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K -38,Local-gov,73715,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -37,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Iran,<=50K -35,Private,210150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,165278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K -31,Local-gov,323829,HS-grad,9,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K -20,Private,403965,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,169699,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -57,Private,207604,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,State-gov,222792,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Private,42645,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K -35,Private,320451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Hong,>50K -81,?,143732,1st-4th,2,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -48,Private,125120,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -28,Private,179512,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Private,101345,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,145592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -36,Private,280570,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,269687,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,282389,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,<=50K -38,Private,218015,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -34,State-gov,189843,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,88653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -27,Private,239130,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,373550,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,149734,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,52,United-States,<=50K -24,Private,278155,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -44,Private,182370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,232784,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,220213,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,362309,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -39,Self-emp-not-inc,208109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -49,Private,196707,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -47,Private,281401,5th-6th,3,Divorced,Sales,Other-relative,White,Female,0,0,32,Mexico,<=50K -55,Private,323639,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,74,United-States,>50K -36,Private,178487,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1669,40,United-States,<=50K -31,Private,195136,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -41,Private,205195,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,226129,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -18,Private,151866,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,181814,11th,7,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,284952,10th,6,Separated,Sales,Unmarried,White,Female,0,0,43,Italy,<=50K -47,Local-gov,162595,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K -51,State-gov,136060,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,?,56483,Some-college,10,Married-AF-spouse,?,Wife,White,Female,0,0,14,United-States,<=50K -48,Private,149640,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,111567,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,50,United-States,>50K -22,Private,178390,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,105994,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,251905,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -62,Local-gov,140851,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -81,Private,164416,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -47,Private,151584,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1876,40,United-States,<=50K -33,Private,159187,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,54,United-States,>50K -41,Local-gov,340682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,193379,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,201519,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,107306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,Local-gov,221417,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -38,Private,48093,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -66,State-gov,162945,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,55,United-States,>50K -33,Private,261943,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -26,Private,167350,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -57,Private,236944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -45,Private,167187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -29,Private,217290,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,272671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,149507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,38,United-States,<=50K -28,Private,116372,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -46,Private,173938,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -42,Federal-gov,236503,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,209894,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -42,Private,113461,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,202683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -68,Self-emp-not-inc,315859,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -23,Private,194102,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -49,State-gov,31650,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,45,United-States,<=50K -25,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K -25,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,183273,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K -27,?,181284,12th,8,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K -32,Private,198901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,83800,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K -27,Private,228472,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -18,Private,308889,11th,7,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -50,Private,168212,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Local-gov,250551,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Private,204556,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,193106,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Self-emp-not-inc,175120,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Federal-gov,127651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,176239,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,295949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K -43,Private,88787,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,120420,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,52636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,304252,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -43,Federal-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,167771,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,Self-emp-not-inc,162970,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,37741,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,220001,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,185254,5th-6th,3,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,El-Salvador,<=50K -77,?,158847,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -60,Private,308608,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Self-emp-inc,278322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,482211,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -52,Private,279440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -24,Private,113515,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,117963,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K -20,Private,123901,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,320305,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -80,?,107762,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,24,United-States,<=50K -34,Private,36069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,46,United-States,<=50K -56,Private,91545,10th,6,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K -47,Self-emp-not-inc,53292,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,252803,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,452452,10th,6,Never-married,Priv-house-serv,Own-child,Black,Female,0,0,20,United-States,<=50K -48,Private,38950,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,89,United-States,<=50K -53,Private,358056,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,144084,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,200734,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,Trinadad&Tobago,<=50K -18,Private,192254,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K -28,Private,92262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,180313,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,275236,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -29,Private,224421,Assoc-voc,11,Married-AF-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,>50K -26,Private,303973,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,1602,15,Mexico,<=50K -23,?,234970,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -73,Private,132350,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,18,United-States,<=50K -43,Local-gov,247514,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -17,Private,313444,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -43,Private,181015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Private,91959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -60,Private,183162,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,183355,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -65,Local-gov,205024,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,United-States,<=50K -18,Private,113814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,174824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,8614,0,40,United-States,>50K -61,Private,105384,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,183892,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,216924,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -25,Local-gov,276249,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,155914,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -27,State-gov,208406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -50,Self-emp-not-inc,163678,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,100011,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K -31,Private,148607,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,267540,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -26,Local-gov,271836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K -47,Private,387468,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Scotland,>50K -35,Private,246449,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,3325,0,50,United-States,<=50K -29,Private,255412,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K -51,Local-gov,168539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,334141,7th-8th,4,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Self-emp-not-inc,121407,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K -36,Private,369843,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -38,Federal-gov,65706,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -22,Private,208946,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,44777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,46,United-States,<=50K -23,Private,216867,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K -33,Private,25610,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Japan,>50K -22,Private,102684,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K -35,Private,202027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -49,Self-emp-not-inc,285858,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,1590,40,United-States,<=50K -29,Private,27436,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Local-gov,199539,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -27,Private,132267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -48,Private,29128,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -90,Private,149069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1825,50,United-States,>50K -20,Private,194228,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,36077,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,Self-emp-not-inc,101771,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -42,Local-gov,101593,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -26,Local-gov,103148,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,104724,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -19,Private,170800,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,371556,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,103596,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,?,256179,Some-college,10,Never-married,?,Own-child,White,Male,594,0,10,United-States,<=50K -41,?,206916,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,?,318351,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -17,Private,57723,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -60,Self-emp-not-inc,261119,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,319962,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -59,Private,195835,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Local-gov,38771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,222205,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -47,Federal-gov,68493,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,112693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,169815,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -23,State-gov,209744,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -17,Private,128617,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K -37,Private,129263,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -28,Private,252424,Assoc-voc,11,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Cambodia,<=50K -21,Private,228395,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,20,United-States,<=50K -45,Private,235646,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,389725,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,Germany,>50K -35,Self-emp-not-inc,22641,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Local-gov,33975,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Private,99248,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,298834,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,151764,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -33,Private,122749,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -27,Private,249315,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K -19,Private,232060,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,281356,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K -52,Private,180062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,101722,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3908,0,47,United-States,<=50K -27,Private,107812,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,>50K -33,Private,176711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,115305,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K -42,Self-emp-inc,23813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,2885,0,30,United-States,<=50K -36,Private,167284,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,191544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -63,Private,143098,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -47,Private,349151,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -42,Private,141186,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,172577,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -29,Private,190539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K -52,Self-emp-not-inc,104501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -56,Private,359972,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,England,>50K -32,Federal-gov,504951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,368586,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,37,Puerto-Rico,<=50K -35,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,?,<=50K -61,Private,173866,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -45,Local-gov,181964,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,47,United-States,>50K -32,Private,100135,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -35,Private,287548,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -28,Private,110749,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K -56,Local-gov,212864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,Private,220237,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,Greece,>50K -32,Private,170276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,>50K -45,Private,379393,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Private,89226,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -81,Self-emp-inc,104443,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,?,<=50K -45,?,177775,Assoc-voc,11,Never-married,?,Other-relative,White,Female,0,0,32,United-States,<=50K -46,Private,182862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -52,Self-emp-inc,51048,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,163870,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,40,United-States,<=50K -33,Private,226629,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,96268,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,181576,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -25,Local-gov,100125,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,314897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -38,Private,171150,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,78,United-States,<=50K -37,Private,147258,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,163870,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,196385,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,167990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Ireland,<=50K -31,Private,288825,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K -25,Private,292058,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -50,Private,34067,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,162370,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Private,104945,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,189888,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3325,0,60,United-States,<=50K -22,?,182387,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,12,Thailand,<=50K -90,?,256514,Bachelors,13,Widowed,?,Other-relative,White,Female,991,0,10,United-States,<=50K -38,Local-gov,32587,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -31,Private,397467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,?,447079,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -34,Private,40067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,377018,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,202752,12th,8,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,182661,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K -33,?,119918,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,?,<=50K -38,Private,248919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -42,Private,157443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,27,Taiwan,>50K -29,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -90,Local-gov,188242,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,11678,0,40,United-States,>50K -41,Private,27444,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -41,Private,124692,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K -27,Self-emp-not-inc,153805,Some-college,10,Married-civ-spouse,Transport-moving,Other-relative,Other,Male,0,0,50,Ecuador,>50K -45,Private,111979,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,201613,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,112115,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Private,57600,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,155659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,166889,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,1602,35,United-States,<=50K -18,Private,27920,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K -54,State-gov,198186,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -36,Local-gov,237713,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,336513,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -26,Private,153169,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,37546,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -34,Private,152667,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -31,Private,159737,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,58,United-States,<=50K -29,Private,129856,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,?,111268,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -43,Private,238530,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,399022,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -33,Local-gov,293063,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Male,0,0,40,?,<=50K -58,Private,119558,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,193285,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,127048,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,236418,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,165226,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,211129,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,>50K -38,Private,204527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,304643,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,176648,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,42,United-States,<=50K -38,Private,65324,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,153551,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Private,68330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K -43,Private,122473,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,1977,50,United-States,>50K -38,Private,38145,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -46,State-gov,171926,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,50,United-States,>50K -47,Private,121958,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -34,Self-emp-not-inc,152493,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -39,Self-emp-not-inc,289430,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,Mexico,<=50K -50,Local-gov,30682,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,48093,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,92,United-States,<=50K -40,Self-emp-not-inc,29702,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K -43,Private,178417,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,256647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -54,Private,99516,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -64,Private,134378,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,199908,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,128065,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K -35,Private,61343,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -54,Private,174806,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -25,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,Other,Male,0,0,40,United-States,<=50K -36,Private,160120,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -28,Private,212091,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -29,Private,202878,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,75993,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -27,Private,126060,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,150519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,?,118058,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,136986,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -29,Private,52199,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,423711,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -23,Local-gov,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,32,United-States,<=50K -38,Self-emp-not-inc,322143,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -27,Private,105598,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,411395,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -57,Federal-gov,239486,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,45,United-States,>50K -24,Private,21154,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -57,Private,121362,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,2258,38,United-States,>50K -44,Private,201723,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -27,Private,57092,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,121253,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,29,United-States,<=50K -29,Private,167716,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K -27,Self-emp-not-inc,226976,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -57,Private,124507,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -53,Private,295896,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-not-inc,32185,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -61,Federal-gov,512864,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,68624,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,175925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,202153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -53,Private,194791,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -44,?,195488,12th,8,Separated,?,Not-in-family,White,Female,0,0,36,Puerto-Rico,<=50K -19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -27,Private,167501,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,208872,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,125831,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,99999,0,60,United-States,>50K -22,Self-emp-not-inc,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -43,State-gov,344519,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -26,Private,187652,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -18,Private,194059,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,145166,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -51,Private,257126,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,217380,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2559,60,United-States,>50K -19,Private,109854,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,185465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,146311,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,249686,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -23,Private,133355,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -41,Self-emp-inc,114580,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,55,United-States,>50K -40,Private,55508,7th-8th,4,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,358677,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,193689,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K -20,Private,434710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Private,144752,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -44,Self-emp-inc,187720,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,179720,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -23,Private,314539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,332763,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -19,Private,38619,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,66,United-States,<=50K -51,State-gov,213296,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,185778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -17,Private,166290,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,218490,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,227468,Some-college,10,Widowed,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,51392,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,154537,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -34,?,197688,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,108233,Assoc-acdm,12,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,243569,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,60722,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,175935,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,14084,0,40,United-States,>50K -43,Private,105188,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -21,Private,199444,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,44,United-States,<=50K -61,Private,54373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Self-emp-not-inc,60116,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,176729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -28,Private,113870,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,222539,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,2597,0,50,United-States,<=50K -18,?,323584,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -31,Private,103435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,101562,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -33,Federal-gov,159548,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,239058,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Private,102420,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K -49,Self-emp-not-inc,349151,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K -50,State-gov,307392,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,100345,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,195516,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,62952,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,244064,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -54,Private,212960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -32,Private,323055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,150533,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K -45,Private,127738,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,360527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,144778,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,105749,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,182971,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -36,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -22,State-gov,119838,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -30,Private,132565,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,174887,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,388496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,Puerto-Rico,>50K -50,Self-emp-inc,181498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,197919,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,222596,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,>50K -51,Private,115066,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,2547,40,United-States,>50K -39,Self-emp-inc,122742,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -41,Self-emp-not-inc,111772,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -51,Private,173291,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,29054,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,288273,12th,8,Separated,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -35,Private,331395,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,231413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -51,Private,57637,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -90,Private,88991,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,England,>50K -47,Federal-gov,220269,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -19,Private,244175,11th,7,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -27,Federal-gov,469705,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,1980,40,United-States,<=50K -43,Self-emp-not-inc,64112,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,91683,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -37,Self-emp-not-inc,126675,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -65,Private,444725,Prof-school,15,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,48,Hungary,>50K -18,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -34,Private,213226,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K -19,Private,389942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,570821,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,336010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K -33,Local-gov,156464,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,452405,Preschool,1,Never-married,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K -31,Federal-gov,34862,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -19,Private,216937,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Female,0,0,60,Guatemala,<=50K -59,Private,160271,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,275924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,Mexico,>50K -45,Private,80430,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,48935,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,198148,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -32,Federal-gov,83413,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -54,Local-gov,288825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,285775,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,104501,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Federal-gov,201127,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,>50K -18,Private,238401,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,321205,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,4101,0,35,United-States,<=50K -32,Private,206541,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -52,Private,204402,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K -49,Private,190319,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Philippines,<=50K -36,Private,41490,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,113106,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -49,Self-emp-not-inc,233059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,177526,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,80924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Private,76460,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,190227,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,431426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,20051,0,4,United-States,>50K -46,Private,273771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -27,Private,36440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K -51,Private,136913,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,226443,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -45,Private,182541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,37848,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -21,Private,50341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -53,Local-gov,181755,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K -47,Private,343579,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,12,Mexico,<=50K -45,Private,48495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -52,Private,164473,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -57,Private,143030,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,?,<=50K -36,Private,166289,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -25,State-gov,117833,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,19,United-States,<=50K -32,Private,258406,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,188300,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,56236,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Male,1506,0,40,United-States,<=50K -34,Private,190040,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,35633,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,?,223732,Some-college,10,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,77634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,200766,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K -39,Self-emp-not-inc,195253,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -40,Private,146520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,131918,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -18,Private,327612,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,152004,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -26,Local-gov,143583,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,152249,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,Mexico,<=50K -33,Private,392812,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -61,Private,539563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -29,?,65372,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Local-gov,246104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,88973,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K -30,Private,387521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,134566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -54,Private,143804,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,237525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K -20,Private,205970,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K -47,Private,158924,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -59,Self-emp-not-inc,223131,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,183000,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -49,Private,126754,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -25,Private,272167,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,245073,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -21,Private,204596,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -41,Self-emp-inc,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,112840,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -39,Private,373699,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,168191,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,2,Italy,<=50K -35,Private,248010,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,179524,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,180656,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -44,Local-gov,145178,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,Jamaica,>50K -39,Private,232854,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,204235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,177895,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,157217,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-inc,124685,Masters,14,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,99,Japan,>50K -35,Private,187119,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -18,Private,183930,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,33355,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -72,Self-emp-not-inc,138248,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,225750,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -54,Private,221336,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -26,Private,29515,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -17,?,406920,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,228216,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -35,?,29075,11th,7,Divorced,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,6,United-States,<=50K -47,Self-emp-not-inc,166894,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,State-gov,286911,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -33,Private,119422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,207301,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -67,Private,23580,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Local-gov,67187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,33,United-States,<=50K -23,Private,197613,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,328060,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Mexico,<=50K -56,Private,127264,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,34,United-States,<=50K -26,Private,106705,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,28,United-States,<=50K -47,Self-emp-not-inc,255934,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -41,Self-emp-inc,32016,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K -45,Private,170092,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,709445,HS-grad,9,Separated,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1092,40,Germany,<=50K -38,Private,234962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,30,Mexico,<=50K -43,Local-gov,85440,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -22,Private,214731,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -57,?,296516,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -24,Self-emp-not-inc,31606,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,20,United-States,>50K -46,State-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -31,?,26553,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,>50K -51,Private,355551,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,45,Mexico,<=50K -20,Private,227594,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,448337,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Private,180779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,375313,HS-grad,9,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -41,Local-gov,129793,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,56482,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -76,Private,124191,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,236396,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -29,Private,351324,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -63,Private,154526,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,State-gov,38251,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,86958,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,152493,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K -19,Private,1047822,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -39,Private,198841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -31,Private,427474,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,2179,35,Mexico,<=50K -39,Local-gov,187127,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,220104,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K -33,Private,252168,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,329144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -32,Local-gov,157887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,137184,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K -26,Self-emp-inc,187652,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,78,United-States,>50K -39,Private,114079,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,164678,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -33,Private,167939,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -29,Private,232914,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,217349,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K -33,Private,142383,Assoc-acdm,12,Never-married,Sales,Not-in-family,Other,Male,0,0,36,United-States,<=50K -46,Private,261688,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,171964,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K -19,Private,60661,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K -66,?,196736,1st-4th,2,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K -34,Private,301591,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -54,Private,339667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K -37,Self-emp-inc,382802,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K -35,Private,204621,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -67,Private,267915,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,271486,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,320196,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K -33,Federal-gov,94193,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,180395,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K -29,Private,196116,Prof-school,15,Divorced,Prof-specialty,Own-child,White,Female,2174,0,72,United-States,<=50K -29,Private,131310,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,139268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -21,Private,366929,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K -21,Private,94826,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Guatemala,<=50K -29,State-gov,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K -38,Local-gov,282753,Assoc-voc,11,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,145389,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,58972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,Self-emp-not-inc,37869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -22,Private,204935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,249857,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,319842,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,195994,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -48,Private,193188,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,279129,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -43,Federal-gov,190020,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,213277,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Local-gov,166863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,297335,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,China,<=50K -56,Self-emp-not-inc,78090,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -62,Private,123582,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Local-gov,254148,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -59,?,169611,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7298,0,12,United-States,>50K -23,Private,285775,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,42,United-States,<=50K -36,Self-emp-inc,216711,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K -41,Private,201981,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,135304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -45,Self-emp-inc,311231,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K -46,Private,123598,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -47,Self-emp-inc,483596,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2885,0,32,United-States,<=50K -43,Local-gov,337469,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,20,Mexico,<=50K -47,Private,187308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -53,Private,152810,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,177695,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -22,Federal-gov,146538,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,151967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K -49,Private,107009,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Portugal,<=50K -40,Private,52849,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -55,Private,32365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,Local-gov,329341,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -27,Private,213152,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,122353,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -47,Private,125120,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,195532,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -20,Private,197752,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K -24,?,165350,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,50,Germany,<=50K -51,Private,104651,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,98524,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,178322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K -40,Private,75363,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -36,?,205396,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -22,?,289405,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,State-gov,108432,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,153132,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -62,Private,213321,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,293399,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Local-gov,175262,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2002,40,England,<=50K -28,?,195568,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,15,?,>50K -24,Private,313956,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,198668,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,47,United-States,<=50K -39,Private,174938,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,76625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,269323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -61,Private,197286,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,154600,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,4,United-States,<=50K -44,State-gov,55395,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,152053,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -56,Private,161944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,172855,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,31350,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,England,<=50K -64,Private,286732,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K -49,Private,147032,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,8,Philippines,<=50K -30,Private,112358,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -45,Self-emp-inc,270535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -35,Federal-gov,185053,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,95647,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -18,Private,186946,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,23,United-States,<=50K -59,Private,98350,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -52,Federal-gov,197515,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,104993,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,2907,0,40,United-States,<=50K -52,Private,114228,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -48,Private,246367,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Federal-gov,191385,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,2174,0,40,United-States,<=50K -32,State-gov,400132,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -20,Private,228960,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,416164,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,49,Mexico,<=50K -63,Private,154526,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,79874,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,166258,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -56,Local-gov,157525,Some-college,10,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,48,United-States,<=50K -54,Private,123011,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K -25,Private,99126,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -50,Private,50178,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,61737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,230624,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K -32,Local-gov,169837,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,123833,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,105370,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K -21,Private,109199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -40,Private,133456,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,24,United-States,>50K -62,?,111563,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K -39,Self-emp-not-inc,31848,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,90,United-States,<=50K -26,Private,148298,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,202980,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,Peru,<=50K -43,Private,397280,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -29,Private,138332,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K -54,Private,177927,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,198654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,67,India,>50K -55,Private,327406,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K -31,Private,295697,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,248978,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -22,?,214238,7th-8th,4,Never-married,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -23,Private,490645,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,2829,0,42,United-States,<=50K -45,Self-emp-not-inc,216402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -44,Private,120277,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Local-gov,370675,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Private,186824,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,206671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,31778,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,242150,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -74,?,89667,Bachelors,13,Widowed,?,Not-in-family,Other,Female,0,0,35,United-States,<=50K -34,Private,295855,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K -53,Private,286085,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,State-gov,71630,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K -42,Federal-gov,37997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -72,Federal-gov,94242,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K -42,Private,102606,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,189203,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -33,Private,354573,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K -41,Federal-gov,355918,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -64,?,239529,11th,7,Widowed,?,Not-in-family,White,Female,3674,0,35,United-States,<=50K -48,Local-gov,242923,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1848,40,United-States,>50K -44,Private,176063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -58,Private,205896,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,128876,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,138999,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,208402,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,4865,0,45,Mexico,<=50K -21,Private,116489,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,164748,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,224566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -42,Private,191429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,287983,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,2258,48,Philippines,<=50K -20,Private,205895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -43,Self-emp-not-inc,349341,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Self-emp-not-inc,335183,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -50,Private,227458,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,51,United-States,<=50K -29,Private,412435,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -45,Private,329144,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,121313,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -25,Local-gov,179059,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,328013,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,65,United-States,<=50K -43,Self-emp-not-inc,190044,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,170154,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K -19,Private,78374,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,38876,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,50,United-States,>50K -36,Private,117073,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,45937,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,State-gov,106466,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,126441,1st-4th,2,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,45,China,<=50K -24,Private,230248,7th-8th,4,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,165799,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,247819,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K -38,Private,249039,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -26,Local-gov,113948,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,48,United-States,<=50K -51,Private,71046,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,Scotland,<=50K -46,State-gov,164023,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K -23,Private,276568,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,31264,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,State-gov,184271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,231826,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,346275,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -48,Private,121124,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -43,Private,243380,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,353396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,280549,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -45,Private,196638,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,?,82473,9th,5,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -33,Self-emp-not-inc,58702,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,50,United-States,>50K -23,Private,179241,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,192323,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,Yugoslavia,<=50K -81,Self-emp-not-inc,123959,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,1668,3,Hungary,<=50K -55,Private,141549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,198587,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,60,United-States,<=50K -66,Private,186324,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,>50K -67,Private,176388,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,187802,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,40,United-States,>50K -51,Private,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K -61,?,38603,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -22,Private,382199,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -73,?,132256,Bachelors,13,Widowed,?,Unmarried,White,Female,0,0,7,United-States,<=50K -36,Private,231082,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,Private,186272,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K -44,Private,239723,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Female,1506,0,45,United-States,<=50K -22,Private,233495,9th,5,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,198148,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,321896,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,170278,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,Philippines,<=50K -46,Federal-gov,325573,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,State-gov,94529,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,734193,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Self-emp-not-inc,108198,HS-grad,9,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K -33,Private,618191,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,41745,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,55717,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,73585,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,67874,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K -42,Private,137907,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -43,Private,168071,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K -40,?,170649,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -20,?,203992,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,447554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -32,Private,171814,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,191832,12th,8,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K -52,Private,282674,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -17,Private,242773,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -67,Private,150516,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -38,Self-emp-not-inc,64875,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,Private,183791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,286026,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,57534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,140169,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -57,Private,191318,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,Private,114447,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,196643,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,141545,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,45,United-States,<=50K -41,Private,355918,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -44,Private,332401,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -22,Private,64292,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,108557,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,99999,0,40,United-States,>50K -43,Private,117627,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -54,Private,200450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -19,?,155863,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K -30,Private,460408,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1672,45,United-States,<=50K -47,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,Private,192704,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K -23,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,172175,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,Private,44402,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,513977,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,485117,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,178202,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,266325,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -49,Private,123807,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,85548,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,18,United-States,>50K -20,Private,206681,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -36,Private,292570,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,178282,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -26,Federal-gov,345157,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,275517,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,187847,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,25803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,416946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -28,State-gov,200775,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -41,Local-gov,271927,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -40,Federal-gov,163215,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K -41,Private,168324,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -49,Self-emp-not-inc,48495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -27,Private,369188,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,>50K -31,Private,182699,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,341471,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,4,United-States,<=50K -19,Private,96705,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -66,?,160995,10th,6,Divorced,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K -50,Private,178596,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,1408,50,United-States,<=50K -47,Private,78022,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,83141,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,53,United-States,<=50K -33,Private,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,186009,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Mexico,<=50K -20,Private,133352,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -27,Private,217530,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,45,Mexico,<=50K -60,Private,188650,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K -38,Private,136081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -62,Private,176839,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -38,Private,316211,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,142909,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,35557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,248990,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K -52,Private,99185,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -51,Private,207246,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K -66,Private,127139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,?,176897,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,117767,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K -41,Private,149909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -24,Private,172496,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -66,Private,135446,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,570002,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -43,Private,175943,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -43,State-gov,345969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,245628,11th,7,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,20,United-States,<=50K -49,Private,50474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,346871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -37,Private,282872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K -46,Private,73434,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,102895,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,207418,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,257644,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,331498,Doctorate,16,Never-married,Other-service,Own-child,White,Male,0,0,40,?,<=50K -59,Private,322691,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,107302,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,United-States,>50K -20,Private,146706,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,30,United-States,<=50K -66,Self-emp-not-inc,37170,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -45,Private,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -61,Private,181028,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,United-States,<=50K -21,Private,149637,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,209320,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K -41,Local-gov,133692,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -46,State-gov,394860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -30,?,298577,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -63,?,316627,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -18,?,457710,11th,7,Never-married,?,Own-child,White,Male,0,0,16,Mexico,<=50K -53,Private,213378,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -25,Private,280093,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -40,Private,147099,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K -33,Private,324546,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K -17,Local-gov,246308,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,Puerto-Rico,<=50K -44,Self-emp-inc,56651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,393248,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,85995,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K -51,Private,252903,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -41,Private,138868,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,State-gov,272918,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,15,United-States,<=50K -59,Private,33725,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,203182,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,402778,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -42,Private,163003,Bachelors,13,Married-spouse-absent,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -24,Private,199555,Assoc-voc,11,Never-married,Sales,Unmarried,White,Male,0,0,5,United-States,<=50K -42,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -51,?,203015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,127895,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -50,Self-emp-inc,190333,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -41,Private,174373,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -56,Private,134286,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -90,Private,139660,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K -37,Private,134088,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,225106,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,18,United-States,<=50K -23,Private,434467,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K -36,Local-gov,180805,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -20,Private,181370,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -28,Private,259351,10th,6,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -21,Private,228326,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,298215,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,State-gov,226789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K -47,Private,180243,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,209057,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -67,Private,191380,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -81,?,147097,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -45,Private,277434,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K -25,Private,307643,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,?,44789,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -25,Private,95691,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,Columbia,<=50K -64,Self-emp-inc,169072,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,145111,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,131608,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,237720,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -38,Private,97083,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -40,Private,187702,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -37,Private,97925,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,316235,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,32,United-States,<=50K -68,Self-emp-inc,182131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,20,United-States,>50K -29,Private,269786,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,270721,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,<=50K -45,Private,285060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Federal-gov,274103,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -22,State-gov,52262,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,England,<=50K -55,?,421228,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -38,Private,102350,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,212213,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,373903,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Federal-gov,153066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,22201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -47,Private,220124,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,248754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,287008,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,54310,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -29,Private,144784,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,38,United-States,>50K -18,Private,146378,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K -30,Private,117028,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,113054,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,43,United-States,<=50K -25,Private,71351,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,25,El-Salvador,<=50K -53,Private,193720,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -31,Private,72630,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K -20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -41,Federal-gov,185616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K -27,Private,295799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,122442,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,96129,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,33223,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Private,224886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -67,Private,94610,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -44,Private,165346,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,56482,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -56,?,656036,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -62,State-gov,162678,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,302195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,241013,7th-8th,4,Widowed,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,120277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Private,148429,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,131239,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,45,United-States,>50K -47,Federal-gov,197332,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,229651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -46,Private,54985,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -40,Private,79036,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K -44,Private,318046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -22,Private,226508,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -37,Private,175643,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,203003,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,189890,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,170174,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K -48,Self-emp-not-inc,200825,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -28,Self-emp-not-inc,132686,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,24342,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,323055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -52,Private,229983,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,30,United-States,>50K -31,Local-gov,149184,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,97,United-States,>50K -60,Self-emp-not-inc,376973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -30,Private,209432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,272376,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Local-gov,223637,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -19,Private,118352,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -17,Private,122041,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,199698,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -42,Private,297335,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,31,Laos,<=50K -53,Private,122412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,276937,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -49,Self-emp-not-inc,165229,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,212793,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -32,Private,32326,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -57,Private,34269,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,653,42,United-States,>50K -32,Private,388672,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K -38,Private,168496,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,Private,268282,7th-8th,4,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -28,Private,248911,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K -35,Private,267798,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -28,State-gov,266855,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -44,Private,121874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,>50K -50,Private,237735,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,37,Mexico,<=50K -45,Private,192203,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,49,United-States,>50K -21,Private,238068,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,138513,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -22,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -63,?,257876,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,340288,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,208447,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K -38,Private,182526,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,114483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,153583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K -41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,291676,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,208277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,<=50K -45,Self-emp-not-inc,77132,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -20,Private,44064,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,92288,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -26,Private,216842,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -38,Private,105017,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,352971,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,270502,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,335421,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -60,Local-gov,204062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -42,Private,413297,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,168232,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,239876,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -21,Private,199698,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -62,Self-emp-not-inc,236247,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,199903,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,Private,87157,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -18,Private,170194,11th,7,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -18,Private,217743,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,99340,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -44,Private,180609,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -47,Self-emp-not-inc,109421,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-not-inc,84231,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -22,Private,50136,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -49,State-gov,194895,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,186849,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -21,?,149704,HS-grad,9,Never-married,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K -48,Private,174386,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,>50K -52,Self-emp-not-inc,146579,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,95150,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,34803,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,289390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -61,Private,132972,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,93930,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,241126,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -35,Private,356238,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,>50K -36,Private,231052,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -37,Private,99374,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -73,?,73402,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -40,Private,182136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,231482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,229009,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,369522,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -21,Private,161415,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,233777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K -45,Private,236040,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,560804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,179673,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,53209,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,221977,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -18,Local-gov,55658,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -25,Private,226891,Assoc-voc,11,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -53,Private,42740,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,39,United-States,<=50K -27,Private,221252,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K -17,Private,167878,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -36,Private,301614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,162029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,40,United-States,<=50K -24,Private,249046,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,55614,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,263561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -50,?,199301,Assoc-voc,11,Never-married,?,Unmarried,Black,Female,0,0,16,United-States,<=50K -35,Private,408318,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K -39,Private,236136,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,293475,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,?,148266,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,6,Mexico,<=50K -39,Private,108943,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,237478,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,228595,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,138077,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K -52,Private,200419,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,154194,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,81259,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -59,Private,158813,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -41,Self-emp-inc,32185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,153064,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,10,Yugoslavia,>50K -31,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,227972,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,48,Germany,>50K -21,Private,177125,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,Private,200246,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,65866,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,213,40,United-States,<=50K -19,Private,198663,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,144685,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,40,Taiwan,<=50K -37,Local-gov,48976,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,45,United-States,<=50K -43,Private,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -30,Self-emp-not-inc,189759,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,172511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Private,221129,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,State-gov,183678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,Private,127601,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -33,Private,219034,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,134890,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -45,Private,195918,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,State-gov,156292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,268390,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -50,State-gov,46401,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,227794,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,89534,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -52,Self-emp-inc,173754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -57,Private,513440,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,167789,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Self-emp-not-inc,340939,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,36423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K -22,?,34506,Some-college,10,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K -41,Private,152958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,186159,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,245199,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,33114,11th,7,Divorced,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -60,Private,121127,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,33710,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K -40,Self-emp-not-inc,325159,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -22,Private,162343,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K -32,Private,105938,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -73,Private,29778,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -24,Private,114292,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -50,Local-gov,139296,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,253250,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,54,United-States,<=50K -43,Private,215624,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -38,Private,169926,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -38,Private,181943,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,?,185357,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,143059,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1902,28,United-States,>50K -44,Private,755858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -48,Private,25468,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K -63,Private,253556,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,316337,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,93235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Private,174032,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,211028,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -63,Private,213095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,210509,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -51,Private,243361,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -28,State-gov,155397,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -18,Private,338836,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Self-emp-not-inc,455995,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K -43,State-gov,255835,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -54,Private,231004,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -49,Private,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -67,Self-emp-not-inc,167015,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -64,Private,38274,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,142624,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -41,?,307589,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,5,Philippines,<=50K -48,Self-emp-not-inc,309895,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,123075,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,317360,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -42,Private,163322,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -40,Private,126868,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Private,123515,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,114691,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Local-gov,162919,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,53135,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,180096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -45,Private,207277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Self-emp-not-inc,108947,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -46,Local-gov,141944,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -27,Private,38606,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,45,United-States,<=50K -18,Private,397606,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,145636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -17,Private,331552,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -38,Private,210844,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,40,Columbia,<=50K -21,Private,372636,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,191389,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Private,152237,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K -55,Private,110871,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,111679,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,181200,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,168334,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -19,Private,607799,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,60,United-States,<=50K -28,Local-gov,179759,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,94196,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -18,Private,144711,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1721,40,United-States,<=50K -61,?,202106,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1902,40,United-States,>50K -36,Private,181721,10th,6,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K -37,Self-emp-inc,152414,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -24,Private,124963,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -24,State-gov,506329,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K -31,Private,194055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,238917,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -38,Self-emp-not-inc,180477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -34,Local-gov,117392,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,422933,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -37,Private,21798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -61,State-gov,159908,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,>50K -46,Self-emp-not-inc,51271,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,70,United-States,<=50K -42,Self-emp-not-inc,103759,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -47,Private,31141,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,55929,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,State-gov,183829,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Self-emp-not-inc,201908,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -51,Private,122109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -20,Private,258298,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,39182,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -42,Local-gov,201723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Cuba,<=50K -55,Private,115439,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,State-gov,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,329925,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,101128,Assoc-acdm,12,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Iran,<=50K -19,Private,260275,11th,7,Separated,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,372483,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,35,United-States,<=50K -41,Private,113324,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,189265,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,362795,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,99999,0,80,Mexico,>50K -39,Private,223792,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -36,Private,111268,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,211265,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,Black,Female,0,0,35,Dominican-Republic,<=50K -28,Private,184831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -44,Self-emp-not-inc,98106,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Federal-gov,43608,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -59,Private,188041,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Private,36006,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -22,Private,187538,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,210259,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -17,?,148769,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,442656,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,65,Guatemala,<=50K -27,Private,195337,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,206362,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,182217,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K -35,Self-emp-not-inc,190895,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -48,Private,216999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,190911,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -32,Private,170017,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,186183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,505980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,72887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -45,Private,186410,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -18,Private,101795,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,State-gov,391585,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -19,Self-emp-not-inc,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -44,Private,104440,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,498267,HS-grad,9,Separated,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Private,176773,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,Haiti,<=50K -67,Private,222899,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,198124,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -53,Local-gov,82783,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,171852,Bachelors,13,Separated,Prof-specialty,Own-child,Other,Female,0,0,40,United-States,<=50K -23,Private,205939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -43,Private,86797,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,55213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,52,United-States,>50K -36,Private,162256,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,342719,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K -20,Private,217467,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,76767,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,441454,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -19,Private,89397,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,167265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -29,Federal-gov,121040,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -63,Private,102412,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,173652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -35,Private,63021,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,128730,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,65,Greece,>50K -19,Without-pay,344858,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,265266,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,438587,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -61,Private,183735,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -19,Self-emp-inc,170125,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,128016,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,40,United-States,>50K -26,Private,147821,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,45,?,<=50K -47,Self-emp-inc,173783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -41,Self-emp-inc,195096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,65382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,136986,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -42,Private,39324,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,50356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,<=50K -27,Private,185127,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,245487,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -56,Self-emp-not-inc,172618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -42,Private,212894,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,>50K -51,Self-emp-inc,189183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,51816,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,125933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -53,Private,122109,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K -56,Self-emp-inc,258883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,197274,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,147700,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -28,Private,30912,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,<=50K -28,Private,204516,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,112917,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Other,Male,0,0,40,Mexico,<=50K -18,Private,426895,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -46,Private,191357,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,111095,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -68,Self-emp-not-inc,338432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,215389,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -63,Self-emp-inc,165611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -26,State-gov,413846,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -52,Private,117674,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Private,238305,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,12,?,<=50K -47,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -26,Private,134945,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Local-gov,34640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1887,40,United-States,>50K -31,Local-gov,189843,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,47,United-States,>50K -32,Private,24529,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K -58,Self-emp-inc,186791,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K -35,Private,66304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,125791,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,15,United-States,<=50K -21,Private,180690,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,189832,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -25,Self-emp-inc,454934,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -23,?,202920,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -35,Federal-gov,182898,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,515797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,191137,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K -33,Private,196266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,172281,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,188563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -41,Private,176069,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,203492,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,288829,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,42,United-States,>50K -44,Private,367749,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -27,Private,145284,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,227332,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,178787,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,607848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Private,193871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,310152,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,3325,0,40,United-States,<=50K -42,Self-emp-inc,187702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -19,?,63574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -39,Private,242922,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Male,0,0,35,United-States,<=50K -24,Private,301199,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,159897,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K -51,Private,125796,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -42,Private,261929,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -40,Self-emp-not-inc,182516,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,202752,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,144833,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,215616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -73,State-gov,74040,7th-8th,4,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -52,Local-gov,71489,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -27,Private,327766,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,125159,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,14084,0,45,?,>50K -30,Private,48829,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1602,30,United-States,<=50K -68,Self-emp-not-inc,198884,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -27,Private,364986,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -34,Private,242960,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -60,?,230165,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -50,Federal-gov,299831,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,880,40,United-States,<=50K -29,Private,163167,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -66,?,357750,11th,7,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Local-gov,79190,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,310545,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,El-Salvador,<=50K -41,Private,116493,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,13550,0,44,United-States,>50K -59,Private,172618,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,56,United-States,<=50K -40,Private,187702,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,75742,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,113870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,133520,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -46,Self-emp-not-inc,311231,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,161198,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -28,State-gov,149624,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,125927,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,127190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,450695,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Self-emp-inc,144778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,110142,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,273010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,367314,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,176634,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,>50K -29,Private,233421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,45,United-States,<=50K -30,Private,206325,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,166371,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,64658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -73,Private,153127,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,10,United-States,<=50K -53,Self-emp-inc,188067,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,104196,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,126568,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K -23,Private,375871,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -26,Private,488459,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,22245,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Local-gov,95455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -37,Private,67125,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,Self-emp-not-inc,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,65,United-States,<=50K -78,?,167336,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -47,Federal-gov,471990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -22,Local-gov,212213,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Local-gov,289653,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1628,48,United-States,<=50K -17,Private,220384,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -43,Federal-gov,195385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,370032,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,164309,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,118652,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,288566,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,230823,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -55,Private,171355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -65,Self-emp-not-inc,131417,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,21,United-States,<=50K -45,Private,176947,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,148948,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,210313,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,Guatemala,<=50K -22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -61,Private,215789,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,210350,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,32,Mexico,<=50K -54,Self-emp-not-inc,192654,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -19,Private,223648,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4101,0,48,United-States,<=50K -69,Self-emp-not-inc,204645,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,72,United-States,>50K -50,Private,155433,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,309178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,199864,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,40,United-States,<=50K -21,Private,137895,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,108741,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,397877,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -43,?,96321,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -69,Private,141181,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,1797,0,40,United-States,<=50K -22,?,131230,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K -51,State-gov,79324,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,172496,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,154410,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,391171,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,25,United-States,<=50K -23,Private,272185,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,33,United-States,<=50K -19,Private,311974,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -61,Private,160062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,97847,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,220943,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,1594,40,United-States,<=50K -53,Private,208321,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,1740,40,United-States,<=50K -45,State-gov,310049,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -31,Self-emp-not-inc,197193,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K -44,Private,101214,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K -38,Private,172755,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,196797,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,38,United-States,<=50K -23,Private,162551,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -36,Self-emp-not-inc,202950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,<=50K -68,?,257269,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,35,United-States,>50K -38,Private,187999,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -29,Private,217200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,29599,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,State-gov,132717,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,242782,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -44,Private,322044,Some-college,10,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -45,?,51164,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -30,Private,169589,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,29810,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -31,Private,159737,10th,6,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,State-gov,190290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -40,Private,236021,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,182302,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,391867,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,135342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,153078,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Other,Male,0,0,50,United-States,<=50K -51,Federal-gov,198186,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,99679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -48,Private,188610,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -47,Self-emp-not-inc,185859,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K -26,Private,179010,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -21,Private,231573,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,365683,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -67,Self-emp-not-inc,195066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -22,?,166297,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -39,Private,156897,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2258,42,United-States,>50K -42,Self-emp-not-inc,24763,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -30,Private,328242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K -32,Private,255424,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -30,Private,90446,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -17,Private,46402,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -37,Local-gov,185556,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,1980,35,United-States,<=50K -45,Federal-gov,222011,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,187098,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,47,United-States,>50K -39,Private,123535,11th,7,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Guatemala,<=50K -31,Private,246439,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,38,United-States,<=50K -74,Self-emp-not-inc,104001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -72,Private,128529,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -56,Self-emp-inc,98418,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -24,Private,187937,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,153143,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K -31,Federal-gov,469263,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,50,United-States,<=50K -53,Private,257940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K -49,Local-gov,53482,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,197189,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,327323,5th-6th,3,Separated,Farming-fishing,Not-in-family,White,Male,0,0,32,Guatemala,<=50K -48,Private,114561,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,36,Philippines,>50K -33,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,148294,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,143058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -60,Federal-gov,129379,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,131473,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Vietnam,<=50K -26,Private,109419,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Private,151864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,215115,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-inc,100960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,113120,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,515712,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,64506,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,203717,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -26,Federal-gov,76491,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -47,State-gov,72333,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -26,Local-gov,80485,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,224954,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,396482,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -61,Private,107438,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1651,40,United-States,<=50K -25,Private,194342,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,693066,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -39,Private,498785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,32452,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -22,Private,21154,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1590,32,United-States,<=50K -35,Private,282951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -22,Private,141297,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,117767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,198825,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,Private,222813,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -45,Private,168283,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,308028,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -52,Private,177465,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -27,Private,211032,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -53,Local-gov,38795,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,State-gov,186308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -76,Self-emp-not-inc,33213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,?,>50K -58,Self-emp-not-inc,331474,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -24,Private,373718,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Self-emp-not-inc,33117,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,England,<=50K -19,?,318056,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,391585,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K -20,?,163665,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -46,?,202560,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -33,Private,207937,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1092,40,United-States,<=50K -29,Self-emp-inc,138597,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -43,Federal-gov,197069,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Philippines,>50K -26,Private,182194,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,347513,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,374764,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Federal-gov,255921,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,England,<=50K -53,Federal-gov,90127,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -51,Self-emp-not-inc,194259,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,55,?,>50K -42,Self-emp-not-inc,138162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -66,Self-emp-not-inc,163726,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K -39,Private,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,153588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,?,50248,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -27,?,194024,9th,5,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K -22,Private,283499,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,242521,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Self-emp-inc,266400,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,281627,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,180150,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,219815,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,240612,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Peru,>50K -23,Local-gov,185575,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,223515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -55,Local-gov,173090,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -22,State-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,190023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,119309,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1602,16,United-States,<=50K -62,State-gov,213700,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,344200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,247043,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -44,Local-gov,409505,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Local-gov,279452,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,242965,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -54,Private,54065,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,291979,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,170302,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K -46,Private,459189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K -30,Private,347166,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,69481,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,569761,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,62339,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,348326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,201156,11th,7,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,Private,248739,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K -25,Private,150062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,415706,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,20333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7688,0,40,United-States,>50K -54,Federal-gov,392502,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,176262,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -41,State-gov,33126,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -36,State-gov,143385,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,177578,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -37,Private,301614,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,224886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,40,United-States,<=50K -28,Private,180007,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,469864,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Local-gov,44064,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,193650,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,136986,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -67,Local-gov,204123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K -32,Private,198813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,141131,12th,8,Divorced,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -48,?,174533,11th,7,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -32,?,78374,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,1,United-States,<=50K -23,Private,208826,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,139576,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,341672,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -28,Private,293398,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,Local-gov,28856,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,65390,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,170525,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K -21,Local-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,594,0,4,United-States,<=50K -41,Self-emp-not-inc,170785,12th,8,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,161141,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,356882,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,384246,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,294270,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -45,Private,176341,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Self-emp-not-inc,196504,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,<=50K -20,Private,215495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -69,Private,108196,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,?,<=50K -41,Local-gov,66118,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K -19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,190297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,206051,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,302903,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,1485,40,United-States,<=50K -47,Private,365516,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,168660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,168275,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -40,State-gov,229364,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -51,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,349368,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -81,Private,98116,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -34,Private,182177,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,35,United-States,<=50K -42,Private,193882,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,238384,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,116391,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,<=50K -67,?,157403,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,6418,0,10,United-States,>50K -39,Private,174924,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,14344,0,40,United-States,>50K -34,Private,242361,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,<=50K -19,?,181265,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -23,?,86337,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -21,Private,237651,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -23,Private,107801,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -58,Private,144092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -43,Self-emp-not-inc,293809,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -49,Local-gov,229337,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,180497,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K -44,Private,151294,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -28,Private,339002,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -63,Private,145985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,224207,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,185279,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -31,Private,243605,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,1380,40,Cuba,<=50K -47,Private,76034,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,57,United-States,>50K -46,Private,27802,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,143385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -49,Self-emp-not-inc,343742,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K -47,Private,175990,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K -61,Private,92691,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,3,United-States,<=50K -40,Self-emp-not-inc,33068,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -63,Private,163708,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,405855,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -51,Private,25031,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K -51,Self-emp-inc,251585,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,159580,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,75,United-States,<=50K -28,Private,213236,HS-grad,9,Separated,Other-service,Unmarried,White,Male,0,0,40,Dominican-Republic,<=50K -28,?,167094,10th,6,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Federal-gov,112115,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,368517,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,56460,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,2179,12,United-States,<=50K -54,Private,174319,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,434102,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,411047,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -41,Private,321824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -42,Local-gov,185129,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,?,>50K -44,Local-gov,323790,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -26,Private,208122,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,302372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,247752,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,124993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -56,Private,261232,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,200207,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -23,Private,278107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,30,United-States,<=50K -39,Private,342448,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,76487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,204816,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -27,Private,306747,Bachelors,13,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,185847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,54,United-States,<=50K -28,Private,59335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,15,United-States,<=50K -43,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,196816,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K -52,Self-emp-inc,224763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Cuba,<=50K -17,?,130969,9th,5,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -21,Private,231866,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,180339,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K -27,State-gov,106721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,375827,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -21,?,207782,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,216473,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,169203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,208598,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,Private,289405,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1602,15,United-States,<=50K -34,Private,220631,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K -55,?,105582,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -49,Federal-gov,115784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,182691,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K -64,Private,166715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -33,Private,419895,5th-6th,3,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -26,Private,190650,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -69,Private,200560,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,158294,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -71,Private,155093,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -47,Private,117849,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Self-emp-inc,61838,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,244803,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Peru,<=50K -45,Private,187563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K -36,Local-gov,217414,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K -35,Private,242094,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -23,Private,117779,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,198068,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,Private,122988,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -29,Self-emp-not-inc,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -45,Self-emp-inc,106517,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,180262,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,181435,11th,7,Divorced,Other-service,Unmarried,White,Male,4650,0,50,United-States,<=50K -27,Private,210498,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -35,Self-emp-inc,182148,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Private,343699,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,301802,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -30,Private,115963,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,248533,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -22,Private,160398,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,38,United-States,<=50K -41,Private,174540,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,4,United-States,<=50K -35,Private,166235,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K -46,Private,192768,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,200819,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Local-gov,239405,5th-6th,3,Divorced,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K -25,Private,209970,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,?,307837,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,135339,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -41,Private,118915,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,177216,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -41,Self-emp-inc,423217,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,123011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Private,93605,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -65,Private,113323,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K -62,Without-pay,170114,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,48779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,108140,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,234386,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Local-gov,115763,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -34,Private,223327,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1672,42,United-States,<=50K -52,Private,247806,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -21,Self-emp-not-inc,25631,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,178452,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,292570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,3325,0,40,United-States,<=50K -26,Private,82246,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K -30,Self-emp-inc,77689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -55,Local-gov,200448,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,188386,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -48,Self-emp-not-inc,79001,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,166275,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,55894,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,86143,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,Local-gov,122177,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,139703,HS-grad,9,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,28,Jamaica,<=50K -29,Private,218785,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,65,United-States,<=50K -64,Private,121036,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -26,Private,168236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,168526,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -32,Self-emp-not-inc,116508,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -70,Self-emp-not-inc,205860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,45114,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,30267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,152568,HS-grad,9,Widowed,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,168294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,179423,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -52,Private,273514,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Local-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,244172,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -25,Private,52921,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,253354,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Self-emp-inc,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K -37,Self-emp-not-inc,82540,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -19,Private,237433,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,4416,0,40,United-States,<=50K -65,Private,271092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K -27,Private,232954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,119793,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,349148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,441227,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -24,Private,418405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Federal-gov,334418,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Puerto-Rico,<=50K -55,Private,175071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K -41,Private,204415,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -24,Private,103277,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,86492,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,87,United-States,<=50K -60,Private,88055,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,16,United-States,<=50K -30,Private,101859,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,State-gov,136077,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,36214,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,47,United-States,>50K -21,Private,174063,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -65,Self-emp-not-inc,172906,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -25,Private,124111,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -45,Self-emp-not-inc,204205,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -64,Private,207658,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,227466,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -33,Local-gov,422718,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,190762,1st-4th,2,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -40,?,341539,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,Private,336101,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,175614,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -20,Private,228649,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,54098,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -37,Private,119098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,254114,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,146919,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,193769,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K -60,Private,57371,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,538243,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,State-gov,261979,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,102460,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,200819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,226443,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,61885,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -30,Self-emp-not-inc,87561,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,State-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,101509,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,116991,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,102476,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Local-gov,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Private,203943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,35,United-States,>50K -48,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -20,?,287681,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,25,Mexico,<=50K -30,Private,187618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,138251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,138692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,174732,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,36,United-States,<=50K -22,?,305423,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -27,Private,215014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K -33,Self-emp-not-inc,295591,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -34,Private,181372,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K -43,State-gov,254817,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,159549,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,131826,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,241025,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -28,Private,162404,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K -26,Private,195562,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -59,Private,201159,12th,8,Widowed,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K -52,Private,197322,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,154940,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -21,?,380219,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,157262,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,39827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K -32,Private,137184,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,145574,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Private,232139,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,197583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,232132,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -20,?,127914,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,71195,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,203776,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,190482,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,76,United-States,<=50K -44,Private,147206,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,73796,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,121441,11th,7,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,40,United-States,>50K -28,Private,67661,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Private,343519,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -48,Private,208662,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -45,Self-emp-not-inc,155489,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -39,Private,46395,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,?,177305,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,>50K -19,Private,119529,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -45,Private,142287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,223811,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -59,Private,193895,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Local-gov,30509,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,55,United-States,<=50K -24,Self-emp-inc,493034,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,13550,0,50,United-States,>50K -39,Private,172186,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,5013,0,40,United-States,<=50K -56,Private,204745,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,45,United-States,<=50K -44,Private,95255,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,421474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,69236,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -31,Private,61308,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,213019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -34,Private,260560,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,Private,34943,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -71,Self-emp-not-inc,137723,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,1455,0,3,United-States,<=50K -48,Private,379883,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -60,Local-gov,255711,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K -47,Self-emp-not-inc,118506,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -39,Private,226947,7th-8th,4,Separated,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -44,Private,245333,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -21,?,224209,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K -43,Private,236936,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,47,United-States,>50K -60,?,225894,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -61,Private,373099,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,131620,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -42,Private,23157,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -88,Self-emp-not-inc,187097,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,269654,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -22,Private,190137,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,United-States,<=50K -30,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -31,Private,43953,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -52,Federal-gov,291096,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,United-States,>50K -64,Private,170483,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Self-emp-not-inc,246439,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,65738,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -73,Self-emp-not-inc,102510,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,99,United-States,>50K -57,Self-emp-not-inc,79539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -30,Private,123397,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,124198,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,84,United-States,>50K -28,Local-gov,149991,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,42,United-States,>50K -20,?,34321,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -34,Private,82938,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,54260,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K -24,Private,356861,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -52,Federal-gov,43705,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -30,Self-emp-not-inc,345122,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -21,Private,200207,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,203697,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,75,United-States,<=50K -33,Self-emp-not-inc,67482,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K -50,Private,177927,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,State-gov,147206,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,138514,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K -37,Private,188774,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,347491,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Private,191277,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,30,Thailand,<=50K -43,Private,188786,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,333505,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,40,Peru,<=50K -55,Private,750972,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -20,Private,254547,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K -33,Private,188467,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,160572,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,47,United-States,<=50K -34,Private,284629,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,260696,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,62143,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -64,Self-emp-not-inc,163510,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,United-States,>50K -28,Self-emp-not-inc,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,50814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,115420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -67,State-gov,261203,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,280071,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K -37,Private,34146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,68,United-States,<=50K -22,State-gov,292933,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -39,Private,80680,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,37109,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K -45,Private,201699,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1628,40,United-States,<=50K -46,Local-gov,197988,1st-4th,2,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -38,Self-emp-not-inc,31848,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Local-gov,104614,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -60,Private,139391,Some-college,10,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,>50K -47,Private,179313,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -21,?,214731,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,228320,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -29,Private,133420,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -44,Local-gov,231793,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -62,?,186611,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,185407,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -37,Federal-gov,22201,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -33,Private,225507,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -33,Private,48520,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,22422,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -38,Private,143123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,Private,138790,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -25,Self-emp-not-inc,113436,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -25,Self-emp-not-inc,55048,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K -48,Private,180532,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,102904,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K -62,Private,499971,11th,7,Widowed,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Local-gov,169515,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,43,United-States,>50K -41,Private,309932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,151105,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,18,United-States,<=50K -44,Self-emp-not-inc,27242,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -34,Private,146980,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K -55,Private,76860,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -21,Private,143604,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,143266,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,193949,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -51,Private,88856,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K -44,State-gov,267464,Some-college,10,Separated,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Private,101825,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,5721,0,45,United-States,<=50K -21,Private,118401,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Private,338270,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,State-gov,345712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,247328,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -66,?,28367,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,117719,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Portugal,<=50K -70,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,70,United-States,<=50K -28,Private,791084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -54,Self-emp-not-inc,46704,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -41,Local-gov,208174,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -74,Private,194312,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,?,<=50K -43,Private,154076,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -18,Private,80616,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K -32,Private,316589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,155767,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,235485,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,190997,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,319831,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -24,Private,326587,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,271122,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -42,State-gov,455553,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Federal-gov,256466,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,7688,0,40,China,>50K -20,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,181265,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,152246,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K -75,Private,191446,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,16,United-States,<=50K -48,Private,86009,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,182615,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,168693,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -20,Private,337639,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,107302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,191628,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,40,United-States,<=50K -33,Private,184901,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -29,Federal-gov,31161,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Other,Female,0,0,40,United-States,<=50K -76,Private,243768,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -60,Private,232242,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,253583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -45,Self-emp-not-inc,107231,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,France,<=50K -46,Self-emp-not-inc,198759,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K -21,Private,163333,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -21,State-gov,140764,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -54,State-gov,312897,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,England,>50K -27,Private,214858,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,55,United-States,<=50K -44,Private,211531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,37646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -43,Self-emp-not-inc,147099,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K -39,Private,85319,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,60,United-States,>50K -59,Private,192845,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -32,Private,268147,Assoc-voc,11,Never-married,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K -20,?,187332,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -57,Self-emp-not-inc,27385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K -64,Self-emp-not-inc,71807,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K -33,Local-gov,289716,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,167691,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -32,Private,168443,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,111020,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K -51,Private,229259,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -61,Local-gov,248595,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,150601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K -54,Private,217850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -50,Local-gov,220640,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K -50,Self-emp-not-inc,203004,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,60,United-States,>50K -44,Private,103980,Some-college,10,Divorced,Prof-specialty,Own-child,White,Male,3325,0,35,United-States,<=50K -34,Private,61308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,22149,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -39,Private,56962,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,>50K -50,Private,194231,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -23,Private,27881,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,66,United-States,<=50K -69,Private,150600,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,389279,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Local-gov,198028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -23,Private,35448,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -26,Local-gov,566066,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,234665,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,114912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K -60,Self-emp-inc,328011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -18,Self-emp-inc,352640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -52,Local-gov,178983,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -30,Private,329425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,Ireland,>50K -29,Private,183523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,421633,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K -64,?,155142,HS-grad,9,Widowed,?,Not-in-family,Black,Male,0,0,20,United-States,<=50K -36,Federal-gov,239074,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,201062,11th,7,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,18,United-States,<=50K -33,Private,23871,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -49,Local-gov,249289,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,214896,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -55,State-gov,136819,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -42,Private,214503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -60,Self-emp-inc,90915,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -59,Local-gov,120617,HS-grad,9,Separated,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,98010,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,99199,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K -65,Local-gov,200764,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,>50K -39,Private,185099,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,225399,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,27085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,State-gov,292816,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,30509,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -47,Private,116279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,43,United-States,<=50K -22,Private,197200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,241885,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -43,Private,151504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,78928,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,3137,0,40,United-States,<=50K -54,Private,288557,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K -55,Private,276229,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,236834,Some-college,10,Divorced,?,Own-child,White,Female,0,0,15,United-States,<=50K -38,Private,122952,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Private,160647,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,46,United-States,<=50K -64,Private,285052,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,<=50K -24,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K -47,Private,32509,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,204057,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -35,Self-emp-not-inc,319831,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -62,?,72486,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,24,China,<=50K -36,Private,263130,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Local-gov,222900,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -70,Private,102610,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -20,?,117210,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,414599,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,21,Guatemala,<=50K -25,Self-emp-not-inc,195000,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,183800,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,181651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -37,State-gov,202139,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,116360,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -28,Private,408473,12th,8,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Private,160703,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -32,Private,194740,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,Greece,<=50K -38,Self-emp-not-inc,248919,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,35,United-States,>50K -38,State-gov,321943,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,305619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Federal-gov,177945,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -37,Local-gov,117760,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K -35,Local-gov,668319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,80,United-States,<=50K -17,Private,82041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Canada,<=50K -40,Self-emp-not-inc,192878,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,232820,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -20,Private,356347,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -21,?,134746,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -37,Private,103323,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -38,Private,54816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -74,Without-pay,216001,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -46,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Federal-gov,67317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,152727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -33,Private,213226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,172246,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,98659,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -20,Private,378546,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,91667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -60,Private,248160,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,176321,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -31,Private,198953,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -44,Private,202872,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -23,Private,197286,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,182089,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K -46,Private,224314,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -63,Self-emp-not-inc,261995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,254781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,332194,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -19,?,117444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,150429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -32,?,282622,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K -21,Private,438139,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,?,254834,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K -24,?,324469,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K -43,Private,151089,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,237646,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -49,Private,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,317847,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,174242,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,?,140414,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,197113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,50,Puerto-Rico,<=50K -34,Private,287315,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,216824,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -45,Private,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,218039,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,294121,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,199545,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -55,Private,342121,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,54,United-States,<=50K -27,Private,163127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -56,Private,33115,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,134190,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,450141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K -39,Federal-gov,263690,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,3137,0,40,Trinadad&Tobago,<=50K -19,Private,277695,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,16,Mexico,<=50K -20,Private,164574,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -18,Never-worked,153663,Some-college,10,Never-married,?,Own-child,White,Male,0,0,4,United-States,<=50K -32,Private,42485,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,203027,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,298699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,174090,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -62,?,250091,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -41,Private,165304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Greece,<=50K -47,Self-emp-not-inc,119199,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -23,Private,60409,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,266855,Bachelors,13,Separated,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,149017,12th,8,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -23,Private,133515,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -34,Private,198613,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K -28,Private,186792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,234970,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K -71,Self-emp-not-inc,494223,Some-college,10,Separated,Sales,Unmarried,Black,Male,0,1816,2,United-States,<=50K -45,Private,160428,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -18,Private,200047,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -39,Private,167728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,184665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,309348,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -43,Private,73333,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,40,United-States,<=50K -47,Private,252079,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,44,United-States,>50K -49,Private,182541,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1485,40,United-States,>50K -44,Private,33521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,97277,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -73,Private,220019,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,9,United-States,<=50K -61,Federal-gov,151369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -51,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,220019,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,172579,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,89508,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,149224,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,74539,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -37,Private,172927,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,70,United-States,<=50K -38,Private,95336,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Local-gov,169699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,158343,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -38,Private,108907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -36,Self-emp-not-inc,367020,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,34161,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,197481,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,347867,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -55,Self-emp-not-inc,204502,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -47,Private,155664,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -39,Private,98077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -28,Private,259840,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -24,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -18,?,169542,12th,8,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Local-gov,145886,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -21,?,234838,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -49,Self-emp-inc,44671,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Federal-gov,253770,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,7298,0,40,United-States,>50K -34,Private,148291,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,<=50K -56,Private,204049,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K -44,Private,42476,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -53,State-gov,53197,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -59,Private,53481,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,133902,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -55,Private,211678,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,155659,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -35,Private,433682,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,79586,HS-grad,9,Separated,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -40,Private,434081,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,295949,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,243409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -64,Private,256466,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K -21,?,78374,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K -55,State-gov,111130,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -26,Private,62438,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -49,Private,213897,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -34,Private,167049,Bachelors,13,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,20,United-States,>50K -23,Private,60331,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,195904,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -29,State-gov,143139,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,250674,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,251396,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -31,Private,382368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Germany,<=50K -70,?,133536,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K -57,Private,103403,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,43,United-States,>50K -54,Private,175912,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,96282,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K -45,Private,201080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -17,Private,318025,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -30,Private,149184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -44,Private,184378,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Federal-gov,216129,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -52,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -22,Private,281432,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,232475,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,123502,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -61,Local-gov,167347,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -54,Private,138944,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -44,Private,245317,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -57,Private,151874,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -37,Private,164898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -65,Private,192309,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -35,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,123681,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,212210,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,?,<=50K -36,Private,158592,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,223019,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Local-gov,177599,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -31,?,76198,HS-grad,9,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1762,40,United-States,<=50K -47,Private,251508,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -32,Self-emp-inc,45796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -43,Local-gov,126847,Masters,14,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,7430,0,60,United-States,>50K -19,Private,261259,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -61,Private,133164,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -35,Private,327435,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,>50K -19,Local-gov,223326,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,1721,35,United-States,<=50K -73,Self-emp-not-inc,256401,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,United-States,>50K -53,Private,53197,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -23,Private,205865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,60,United-States,<=50K -46,Private,138069,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,188615,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -32,Private,206051,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -62,Private,69867,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -48,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -27,Private,144063,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,75,United-States,<=50K -21,?,116934,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,318934,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,183869,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -54,Private,124194,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,128063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -23,Self-emp-not-inc,519627,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K -29,Private,147889,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,24361,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K -59,?,192130,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -19,Private,382738,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -54,Private,425804,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -44,State-gov,165745,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -21,?,216867,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,Mexico,<=50K -55,State-gov,136819,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,389270,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -52,Private,222107,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Private,205706,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,298539,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -21,Private,105997,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -36,Private,307520,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -56,Federal-gov,187873,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,111558,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1977,25,United-States,>50K -43,Self-emp-not-inc,174295,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,204209,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -27,Private,85126,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,128382,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -41,State-gov,92717,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,1504,40,United-States,<=50K -21,Private,129980,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,254291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -19,Private,227178,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Self-emp-not-inc,150371,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -77,?,143516,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -72,Private,157593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,1455,0,6,United-States,<=50K -71,Self-emp-inc,216601,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -37,Private,372525,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,<=50K -53,Private,149650,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2559,48,United-States,>50K -20,Private,479296,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,329222,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1740,40,Laos,<=50K -54,State-gov,119565,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K -46,Private,130667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,255279,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -47,Private,205068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -33,Private,184833,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,?,41183,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -88,Self-emp-not-inc,141646,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,5,United-States,<=50K -45,Self-emp-inc,149865,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K -18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -45,Private,47314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,?,>50K -34,?,112584,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,200808,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Columbia,<=50K -28,Private,61435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -52,Local-gov,182856,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,45,United-States,>50K -58,Private,343957,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,57512,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,121130,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,156464,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K -76,Private,84428,Some-college,10,Widowed,Sales,Not-in-family,Asian-Pac-Islander,Female,2062,0,37,United-States,<=50K -38,Self-emp-inc,176357,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,103277,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K -49,Private,452402,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -29,Private,297544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,71209,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -64,Private,102103,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -19,?,170653,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Italy,<=50K -22,Private,450920,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,214117,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -28,Private,115438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -47,Private,108510,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -40,Local-gov,165726,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,170482,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,44,United-States,<=50K -27,Private,85251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,177285,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K -26,Private,212748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,177907,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,2176,0,20,?,<=50K -21,?,253190,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K -67,Private,283416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,49795,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,324922,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,335439,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,50,United-States,<=50K -25,Private,362912,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,50,United-States,<=50K -48,Private,44216,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -76,?,79445,10th,6,Married-civ-spouse,?,Husband,White,Male,1173,0,40,United-States,<=50K -66,Self-emp-not-inc,51687,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,200318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -60,Self-emp-not-inc,92845,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,34848,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -74,Private,84197,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K -28,Private,221317,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -51,Private,245873,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -73,Local-gov,143437,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -33,Private,309590,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -57,Private,61298,5th-6th,3,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Ecuador,<=50K -35,Private,52187,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,?,145964,HS-grad,9,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Private,230657,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,3781,0,40,Columbia,<=50K -18,Self-emp-not-inc,68073,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,128487,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -18,Private,67019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,162312,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -45,Private,272442,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,210844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -68,?,108683,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,>50K -23,Private,197904,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Self-emp-inc,248476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -34,Private,31341,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,161007,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,178002,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Self-emp-not-inc,138940,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,37,United-States,<=50K -46,Private,123598,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,?,157332,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,181929,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K -54,Private,176240,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K -45,Private,146857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -34,Private,35595,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -18,Self-emp-not-inc,230373,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,4,United-States,<=50K -45,Private,101825,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -46,Local-gov,109089,Prof-school,15,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Private,37438,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,Federal-gov,200700,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -70,Private,178120,HS-grad,9,Widowed,Priv-house-serv,Other-relative,Black,Female,0,0,8,United-States,<=50K -39,Private,218490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -42,Self-emp-not-inc,210013,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,703067,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,245173,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,1669,45,United-States,<=50K -44,?,118484,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,<=50K -44,Self-emp-inc,148805,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -47,Private,158685,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -42,Self-emp-not-inc,114580,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K -45,Private,123219,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Local-gov,80123,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,99219,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -32,Private,339196,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,92531,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,230484,7th-8th,4,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -54,Local-gov,168553,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,?,116820,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -37,Local-gov,263690,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,?,<=50K -61,Private,101500,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,144752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -44,Private,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -56,Local-gov,391926,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,131662,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -63,Private,118798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -49,Private,281647,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -17,Private,98572,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,?,188343,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,230315,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Dominican-Republic,<=50K -48,Private,123681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -33,Private,93206,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Self-emp-inc,140854,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -57,Private,47178,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,137069,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -58,?,178660,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,248973,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,65,United-States,<=50K -29,Private,148431,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Other,Female,7688,0,45,United-States,>50K -23,Local-gov,430828,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K -38,Private,156728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,203488,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -63,Private,66634,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -27,Private,208249,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,62,United-States,<=50K -17,Local-gov,32124,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,9,United-States,<=50K -33,Private,55699,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K -37,Private,272950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,162884,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,60,Columbia,<=50K -37,Local-gov,97136,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,203169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -53,Self-emp-not-inc,263439,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -55,Self-emp-not-inc,110844,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,193494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -53,Private,250034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -54,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,?,253860,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Private,179579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,248612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -31,Private,225507,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,201617,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,State-gov,437890,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Male,0,0,90,United-States,<=50K -20,Private,198148,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,164607,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -42,Federal-gov,32627,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -42,Private,304605,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,292175,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K -29,Private,304082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Peru,<=50K -69,Private,361561,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K -38,Private,342448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -28,Private,200733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,?,244856,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,40,United-States,>50K -56,Private,318329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -42,State-gov,355756,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,123983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Japan,>50K -30,Private,189759,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K -27,Private,168107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,164219,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -18,Private,165950,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K -21,Private,151158,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -80,Private,138737,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -37,Private,98941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -20,Private,275691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -27,Private,103164,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,413297,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K -45,Self-emp-inc,208049,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,1590,40,United-States,<=50K -50,Private,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -36,Private,241306,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,227832,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Local-gov,287920,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,220754,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -45,Self-emp-inc,191776,Masters,14,Divorced,Sales,Unmarried,White,Female,25236,0,42,United-States,>50K -52,Local-gov,203953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,>50K -26,Private,76996,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K -66,Private,116468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,2936,0,20,United-States,<=50K -82,Self-emp-not-inc,181912,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,12,United-States,<=50K -25,Private,302465,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,40,United-States,<=50K -37,Private,239397,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,244495,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -58,Private,199067,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -40,Self-emp-not-inc,280433,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,144086,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,195016,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,35,United-States,<=50K -47,Self-emp-inc,186410,Prof-school,15,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K -19,Private,106306,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,62593,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -37,Private,198841,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-inc,32922,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,Private,106273,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -20,Private,163333,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,161765,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,Private,84888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,45,United-States,<=50K -57,Self-emp-not-inc,192869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -56,Private,35373,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,Private,94652,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -26,Private,121712,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -46,Private,186256,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -37,Private,115332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -56,Private,131608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Ireland,>50K -57,Private,161944,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -32,Self-emp-not-inc,379412,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,221780,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Local-gov,188612,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,331611,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,378723,10th,6,Separated,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -63,?,319121,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -62,Private,92178,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,124973,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -33,Private,557805,Assoc-voc,11,Never-married,Sales,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -52,Private,257756,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -44,Federal-gov,68729,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -47,Local-gov,275517,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,72,United-States,<=50K -46,Self-emp-not-inc,82572,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -70,?,147558,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -24,Private,308285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,?,168524,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,140219,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -62,Private,98076,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,160703,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -42,Local-gov,254817,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,40,United-States,<=50K -28,Private,306538,12th,8,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,456430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,99651,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,39432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,35805,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-not-inc,221581,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,214129,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,88073,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Self-emp-not-inc,33035,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -39,Local-gov,30269,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,>50K -44,Private,174051,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,102533,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,120238,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,283587,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,39,Mexico,<=50K -20,?,190290,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,228528,10th,6,Never-married,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Self-emp-not-inc,104973,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -37,Private,188069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -72,?,177121,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -28,Private,204516,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Private,156926,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -62,?,225652,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,3411,0,50,United-States,<=50K -45,Private,249935,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,145441,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,35210,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,387074,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,168322,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,113129,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -28,Private,378460,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,10520,0,60,United-States,>50K -39,Private,30056,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,249706,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,175133,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,169473,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Private,235786,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -51,Private,221672,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -55,Federal-gov,145401,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Local-gov,106982,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,52,United-States,<=50K -46,Private,263727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,207568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -40,Private,173307,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,253101,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,386705,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -38,Private,29874,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K -21,Private,206492,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -25,Private,147638,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K -19,Private,196857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,32086,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,52,United-States,<=50K -65,?,327154,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,88926,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Federal-gov,478457,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -41,Self-emp-inc,220821,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -31,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,210452,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -33,Private,31740,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,201268,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -22,State-gov,255575,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -28,Private,202206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Puerto-Rico,<=50K -30,Private,427541,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,99999,0,40,United-States,>50K -33,Private,51185,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,140559,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Private,183081,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,89011,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K -69,Private,168139,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,129775,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,179088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,212894,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -31,Private,256609,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -19,Private,142738,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,14084,0,20,United-States,>50K -36,Local-gov,171482,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -27,?,133359,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,?,<=50K -24,Private,349691,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -49,Private,176684,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Federal-gov,166419,11th,7,Never-married,Sales,Not-in-family,Black,Female,3674,0,40,United-States,<=50K -30,Private,160634,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -47,Private,211239,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,State-gov,100270,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -30,Federal-gov,164552,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K -56,Private,225927,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -34,Private,340917,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,50,?,<=50K -43,Local-gov,225165,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,229636,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -54,Private,143865,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,289227,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,16,United-States,<=50K -90,Private,313986,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,175390,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,?,32604,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,?,40190,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,374454,HS-grad,9,Divorced,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,229732,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -57,Self-emp-inc,208018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,158438,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Private,198769,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -59,Private,157932,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -27,Private,113501,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K -44,Private,232421,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,32,Canada,<=50K -47,Self-emp-not-inc,174533,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,182533,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -37,Private,166193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,131650,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,21383,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,156003,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Self-emp-inc,108551,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,157403,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K -47,Private,165229,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,74680,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,2001,60,United-States,<=50K -55,State-gov,146326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -18,?,163788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,184290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -49,Self-emp-not-inc,43479,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,63,Canada,>50K -37,Federal-gov,75073,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,42,United-States,<=50K -34,Private,191930,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,147253,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -66,Private,172646,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,1173,0,12,United-States,<=50K -26,Private,256263,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -61,Federal-gov,95680,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,United-States,>50K -23,Private,213902,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Private,264874,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Never-worked,162908,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -29,?,499935,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,54611,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,49358,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -34,Private,430554,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,301229,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,182187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,35,United-States,<=50K -19,?,204868,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K -39,Private,52645,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,103021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -49,Local-gov,268234,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -25,Private,213799,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,34309,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -60,Self-emp-not-inc,146674,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,?,<=50K -31,Local-gov,90409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -56,Private,93211,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,Canada,<=50K -52,Self-emp-not-inc,193116,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,Mexico,<=50K -27,Private,162104,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,30,United-States,<=50K -70,?,135339,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -27,Private,59068,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K -30,Private,184542,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,577521,11th,7,Never-married,Sales,Own-child,White,Male,0,0,13,United-States,<=50K -46,Private,175262,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -26,Private,141824,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,43701,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -38,State-gov,200904,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Local-gov,232769,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -24,Private,117779,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,56352,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -24,Private,325596,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -52,Local-gov,181578,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K -17,Private,173740,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -29,Private,289991,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -23,Private,864960,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,317175,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -25,Private,118088,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,473625,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -33,Private,234067,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -31,Private,226443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,191878,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,38,?,<=50K -40,Private,69495,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,155151,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,202560,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -18,Self-emp-not-inc,304699,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,England,<=50K -36,?,28160,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,?,285200,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2105,0,24,United-States,<=50K -40,Private,213821,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Private,234500,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,24046,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,118497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,192042,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,304651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -34,Private,150154,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,31740,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,266287,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -43,Private,316820,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -46,State-gov,96652,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Federal-gov,78307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,252616,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -42,State-gov,184105,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -42,Private,126701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,9562,0,45,United-States,>50K -50,Private,89534,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,111483,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K -38,Private,65466,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,274363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,England,>50K -41,Self-emp-not-inc,263871,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -42,Private,236110,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -20,State-gov,349365,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,105794,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K -39,Private,89419,Assoc-voc,11,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,Columbia,<=50K -63,Private,275034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1740,35,United-States,<=50K -30,Private,261677,9th,5,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -26,Private,18827,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,29261,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -31,Private,187560,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K -41,Local-gov,81054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,37618,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,229700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -27,State-gov,230922,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Scotland,<=50K -51,Private,244572,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K -36,Private,293528,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K -47,Private,216093,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -60,Private,113443,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,State-gov,354591,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,114,0,38,United-States,<=50K -47,Private,186935,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -18,Local-gov,153405,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K -49,Federal-gov,229376,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -71,Self-emp-not-inc,130731,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,194829,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -45,Private,201699,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Private,286730,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,32477,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,162572,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -57,State-gov,399246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1485,40,China,<=50K -36,Local-gov,578377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,240468,Some-college,10,Married-spouse-absent,Sales,Own-child,White,Female,0,1602,40,United-States,<=50K -40,Private,174515,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,206297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -26,Private,176756,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,74631,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,416745,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,47235,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K -48,Self-emp-inc,213140,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Private,242861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,50459,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,220362,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K -31,Local-gov,265706,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K -33,Private,75435,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -29,Private,119793,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K -41,Private,29927,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,285570,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,110908,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K -57,Private,127277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -61,Local-gov,177189,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -22,Private,377815,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -26,Private,248990,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,323069,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Local-gov,117618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K -36,Local-gov,188798,11th,7,Separated,Prof-specialty,Unmarried,Other,Female,0,0,30,United-States,<=50K -22,Self-emp-not-inc,199011,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,20,United-States,<=50K -34,Private,61559,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,207668,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K -25,Private,60358,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,34572,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -60,Private,290754,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K -57,Federal-gov,313929,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,60374,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,1594,26,United-States,<=50K -60,Private,225883,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,27,United-States,<=50K -49,Private,140121,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,State-gov,255830,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K -26,Private,375499,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K -28,Private,303954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,42,United-States,>50K -39,Private,188069,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -32,?,373231,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,160192,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,190525,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,124818,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,232841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,222584,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,56964,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,286391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K -21,Private,447488,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,38,Mexico,<=50K -42,Self-emp-inc,223566,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K -57,Private,190997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,State-gov,77723,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,223327,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,291808,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,34996,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,247081,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,36214,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -30,Private,509500,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,4787,0,45,United-States,>50K -20,Private,273147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,204160,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -54,?,196975,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,45,United-States,<=50K -24,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K -31,Private,69056,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,30776,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,103632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,338345,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -45,Self-emp-not-inc,188694,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,63424,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -32,Private,262153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,83542,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,140826,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,?,>50K -39,Self-emp-not-inc,274683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -22,Private,105686,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,142444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -64,Private,181530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,122195,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,163870,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K -59,Private,159724,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K -62,?,266037,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,264012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -54,Private,192386,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,38,United-States,>50K -29,Local-gov,214385,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -62,Self-emp-inc,118725,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,72,United-States,>50K -48,?,167381,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Local-gov,188236,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -22,Private,24008,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K -42,Private,163985,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,27,United-States,<=50K -21,Private,421010,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -56,Private,184553,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -17,?,112942,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,76142,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,116391,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,194472,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Local-gov,248344,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K -24,Private,19513,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -56,Private,170148,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -23,Private,664670,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -49,Private,329603,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -30,Private,100135,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,296453,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -54,Private,96792,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -58,?,97969,1st-4th,2,Married-spouse-absent,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -68,Private,75913,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Federal-gov,112388,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,128487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,108366,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K -52,Private,155433,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K -26,Private,211199,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,103948,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -54,Local-gov,169785,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -42,Self-emp-inc,1097453,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -27,Private,517000,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Federal-gov,192443,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K -17,?,165069,10th,6,Never-married,?,Own-child,White,Male,0,1721,40,United-States,<=50K -59,?,409842,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -48,Self-emp-inc,125892,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -32,Self-emp-not-inc,267161,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K -37,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -36,Self-emp-not-inc,37778,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -21,Private,154964,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K -59,Private,277034,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,60,United-States,>50K -48,Federal-gov,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,204752,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,89172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -17,?,304873,10th,6,Never-married,?,Own-child,White,Female,34095,0,32,United-States,<=50K -48,Private,175662,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K -24,Private,214014,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -62,?,94931,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3411,0,40,United-States,<=50K -26,Private,213385,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -47,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,307724,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K -50,Private,133963,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Private,189680,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K -21,Private,387335,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,1719,9,United-States,<=50K -36,Private,174938,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K -58,?,148673,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -35,Private,415167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Private,72619,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -32,Private,94939,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -30,Federal-gov,49593,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,286261,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,210474,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,86268,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,140108,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,30,United-States,<=50K -29,Private,89598,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2057,35,United-States,<=50K -29,Local-gov,142443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -45,State-gov,252208,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,209609,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -22,Private,169022,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -45,Local-gov,168191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,293926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,30,United-States,<=50K -34,Private,188798,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -48,Private,323798,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K -52,Self-emp-not-inc,100480,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -64,Private,316627,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,225860,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,193568,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,131568,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,150999,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -36,Private,294760,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,147638,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -75,Self-emp-inc,134414,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,141876,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,45,?,<=50K -23,Private,332657,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -20,Private,256796,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Private,111387,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1579,40,United-States,<=50K -42,Private,191196,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,154641,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,8614,0,50,United-States,>50K -38,Private,168055,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,30875,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -24,Private,136687,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Other,Female,0,0,40,United-States,<=50K -55,Local-gov,190091,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,Private,657397,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -61,Private,175999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,29559,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,38,United-States,<=50K -68,?,196782,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -49,?,312552,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2002,70,United-States,<=50K -44,Private,261899,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -53,Private,141388,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,329288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,55,United-States,>50K -24,Private,117167,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,53,United-States,<=50K -35,Self-emp-not-inc,37778,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,55,United-States,<=50K -37,Private,241174,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K -56,Local-gov,129762,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,330715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,189759,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,340018,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -40,Self-emp-not-inc,282678,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -38,Local-gov,230054,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,118174,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,20051,0,15,United-States,>50K -20,Private,163205,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -54,Self-emp-not-inc,399705,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -39,Private,59313,12th,8,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,?,<=50K -37,Private,112660,9th,5,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -46,Federal-gov,199925,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,276552,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,245121,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -32,Private,127451,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -28,Private,249571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,160662,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,174224,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,450200,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -61,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,63,South,<=50K -23,State-gov,340605,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K -51,Private,259323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,288229,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,Laos,<=50K -65,?,173309,7th-8th,4,Widowed,?,Not-in-family,White,Female,401,0,12,United-States,<=50K -56,Self-emp-not-inc,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,England,>50K -21,Private,60552,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,52131,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,?,108796,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -46,Private,171335,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,207537,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,70034,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Portugal,<=50K -58,Private,51662,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,8,United-States,<=50K -59,Private,261232,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,134026,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,2174,0,40,United-States,<=50K -19,Private,188618,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -65,?,36039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -69,Private,177374,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1848,0,12,United-States,<=50K -21,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -49,?,189885,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -50,Local-gov,92486,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,151094,Assoc-voc,11,Separated,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -20,?,180052,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,227154,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -35,?,273558,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K -19,Private,323054,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -35,Private,160120,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -52,Private,113522,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,>50K -35,Self-emp-not-inc,95639,11th,7,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,4,United-States,<=50K -27,Private,57052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -80,?,174995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,Canada,<=50K -34,Private,209297,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,2001,40,United-States,<=50K -35,Private,133839,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -22,Private,59184,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,540712,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,1719,25,United-States,<=50K -31,Federal-gov,126501,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,225263,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1408,46,United-States,<=50K -20,Private,165097,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,2001,40,United-States,<=50K -44,Private,245317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,128363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,164488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,183639,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,337378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,114117,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -55,Private,199067,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,42,United-States,>50K -46,Private,165953,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -45,Private,210875,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,194710,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,140092,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,66935,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,?,47011,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,141427,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Local-gov,101950,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,203635,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,60,United-States,>50K -34,Private,344275,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -39,Private,341741,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -28,Private,245790,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,27411,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,188278,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,29510,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,?,240226,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,349951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4508,0,55,United-States,<=50K -21,Private,26410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,State-gov,764638,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,47,United-States,>50K -37,Private,116409,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,313817,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,306420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,92863,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,263300,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,55,United-States,<=50K -39,Private,51264,11th,7,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,204402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K -27,Private,150296,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -26,Private,124953,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K -26,Private,133766,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -71,Private,37435,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,3,United-States,<=50K -34,Private,32528,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,974,40,United-States,<=50K -39,Private,113151,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -31,State-gov,152109,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,85874,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,190403,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,Canada,<=50K -44,Private,182629,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,24,Iran,<=50K -61,Private,29797,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,338320,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -44,Private,48087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,196252,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -51,Private,84278,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -39,Private,269186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,280093,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,53197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,129232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -50,Self-emp-not-inc,34067,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -31,Self-emp-not-inc,117346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -17,Private,184025,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -45,Federal-gov,163434,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,203233,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,99,United-States,>50K -43,Private,160943,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K -30,Self-emp-inc,443546,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -55,Private,191367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,185870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,160594,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -31,Self-emp-not-inc,203463,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,282964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,200295,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -56,Private,140136,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,>50K -59,Private,395736,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -32,Private,157747,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,96798,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,51148,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -29,Private,189702,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K -34,Private,64830,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -22,Private,133833,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,35603,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,11,United-States,<=50K -40,Private,210493,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,198700,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K -42,Self-emp-not-inc,436107,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,190772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1590,35,?,<=50K -31,Private,144064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -19,Private,143857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -21,State-gov,24008,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,255161,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -21,Private,311570,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -53,Local-gov,176059,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -50,Private,190762,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -50,Local-gov,120190,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -17,Private,121287,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,180551,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,State-gov,106448,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -52,Private,251585,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -28,?,197288,11th,7,Never-married,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -26,Private,43311,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,State-gov,210498,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,405644,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -44,Private,40024,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,258509,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -40,Private,200479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,76878,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -28,State-gov,381789,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,2339,40,United-States,<=50K -23,Private,69911,Preschool,1,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,200295,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -37,Private,189382,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,40,United-States,<=50K -36,Private,287658,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -61,Private,230568,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,97490,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -18,?,98549,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,35,United-States,<=50K -24,Self-emp-inc,189148,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,128206,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,189897,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,159709,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,112077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,858091,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -71,?,144872,Some-college,10,Married-civ-spouse,?,Husband,White,Male,6514,0,40,United-States,>50K -57,Private,187138,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,94413,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,3325,0,40,United-States,<=50K -36,?,100669,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K -24,Private,236804,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,416338,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,165937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,360743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,55,United-States,<=50K -31,Private,191834,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Private,118831,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -19,Private,168601,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -45,State-gov,198660,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,505980,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,215047,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,45607,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,38240,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -23,Private,233472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,200187,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -41,Private,38397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,State-gov,351228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -67,?,102693,HS-grad,9,Widowed,?,Not-in-family,White,Male,1086,0,35,United-States,<=50K -17,Private,269430,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,384308,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,130397,10th,6,Never-married,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,Private,175958,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,159123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,1504,50,United-States,<=50K -35,Private,45607,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,94413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -37,Federal-gov,93225,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -29,State-gov,301582,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,21095,Some-college,10,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -51,?,43909,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,245182,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -67,?,183420,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K -20,Private,159297,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -43,Private,37402,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Private,237824,HS-grad,9,Married-spouse-absent,Priv-house-serv,Other-relative,Black,Female,0,0,60,Jamaica,<=50K -36,Private,168826,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,110820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Self-emp-not-inc,100316,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,159449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -48,?,193047,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,138513,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -25,Private,35854,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,248990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -34,Self-emp-inc,62396,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,United-States,>50K -33,Private,219619,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -22,Private,199555,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -59,Private,81973,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -36,Private,153066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -34,Private,100669,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -29,Private,133696,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,45,United-States,>50K -19,?,291509,12th,8,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K -41,Private,195661,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,54,United-States,<=50K -40,Private,197609,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,1340,40,United-States,<=50K -21,Private,137510,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,Germany,<=50K -28,Private,172891,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,99156,HS-grad,9,Separated,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -51,Private,255412,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K -44,Private,101563,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,45,United-States,>50K -46,Self-emp-inc,112320,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,35330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,120970,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -53,Self-emp-not-inc,105478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K -62,Local-gov,249078,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,98283,Prof-school,15,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,1564,40,India,>50K -32,Private,244147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K -28,?,230704,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,171968,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,276456,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,30,United-States,>50K -18,Private,200290,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -34,Self-emp-not-inc,289731,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,220931,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,Peru,<=50K -17,?,48610,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,14,United-States,<=50K -28,Private,267661,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,232591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -41,Private,190786,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -42,Private,182302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,188693,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -17,Private,150471,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -43,Local-gov,117022,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,Self-emp-not-inc,123440,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Private,196344,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,38251,Assoc-acdm,12,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -26,Private,52839,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,261023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,38,United-States,<=50K -40,Private,155190,10th,6,Never-married,Craft-repair,Other-relative,Black,Male,0,0,55,United-States,<=50K -57,State-gov,183657,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,>50K -33,Private,52240,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,100135,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,25,United-States,<=50K -18,Private,70021,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -24,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,236068,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -26,Private,189219,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -49,Private,148169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K -47,Private,181652,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,370498,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,213620,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,112517,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K -25,Self-emp-not-inc,136450,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -38,Private,168322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -54,Local-gov,182429,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,38,United-States,<=50K -38,Local-gov,236687,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,192549,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,200960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,95566,Some-college,10,Married-spouse-absent,Sales,Own-child,Other,Female,0,0,22,Dominican-Republic,<=50K -22,Self-emp-not-inc,108506,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K -45,Private,34419,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,136651,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -58,Private,284834,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,154568,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,36,Vietnam,>50K -51,Private,229225,Masters,14,Divorced,Other-service,Not-in-family,Black,Female,0,0,18,United-States,>50K -42,Self-emp-not-inc,140915,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K -62,Private,207443,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K -27,Private,158156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -24,Private,42100,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -44,Private,187322,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,State-gov,73928,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -52,Private,221936,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,632613,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K -46,Private,134727,11th,7,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,Germany,<=50K -82,Private,147729,5th-6th,3,Widowed,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K -46,Local-gov,232220,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -20,Private,185706,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,36851,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,41,United-States,<=50K -53,Private,104748,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,31606,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,Germany,<=50K -31,Private,110083,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Federal-gov,164021,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,263338,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -22,Private,103762,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,60890,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -40,Federal-gov,391744,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,33394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -23,Private,215616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -31,Private,207537,Some-college,10,Separated,Sales,Not-in-family,White,Male,2174,0,52,United-States,<=50K -46,Private,155933,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1602,8,United-States,<=50K -49,Local-gov,52590,HS-grad,9,Widowed,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,47,United-States,<=50K -32,Private,52537,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,38,United-States,<=50K -37,Self-emp-not-inc,410919,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,170336,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,19,United-States,<=50K -55,Private,49737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -17,?,347248,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,198320,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,157911,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -61,?,451327,Bachelors,13,Married-civ-spouse,?,Husband,Other,Male,0,0,24,United-States,>50K -39,State-gov,114366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,Private,189498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -40,Private,124747,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K -63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,89508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,369468,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,108140,Bachelors,13,Divorced,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Local-gov,34987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -30,Private,117393,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,?,256371,12th,8,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,297767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K -41,Private,154076,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -36,Private,111128,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -53,Private,104879,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -28,?,168524,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,38,United-States,>50K -17,Self-emp-inc,254859,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,338632,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -51,Private,215854,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -53,Private,304353,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K -36,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,43311,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,El-Salvador,<=50K -45,Private,188998,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -29,Private,54131,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,33886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -52,?,224793,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -48,Private,249935,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -36,Local-gov,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,50,United-States,<=50K -32,Private,341954,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,45,?,<=50K -23,Private,306639,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,310152,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,117198,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,267281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,?,147755,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,32,?,<=50K -75,?,26586,10th,6,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -77,Private,149912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -62,Private,68268,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,?,158784,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,99220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,221694,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -23,Private,227915,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,33,United-States,<=50K -45,Local-gov,182100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,228394,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -50,Local-gov,168672,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K -48,Self-emp-not-inc,138069,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,50,United-States,<=50K -50,Local-gov,74660,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,259425,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,196373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -59,Private,75867,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,255364,Some-college,10,Divorced,Other-service,Own-child,White,Male,594,0,24,United-States,<=50K -73,Local-gov,232871,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2228,0,10,United-States,<=50K -47,Local-gov,102628,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-inc,220821,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,164647,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,287190,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -36,Private,166549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,170651,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,38,United-States,>50K -41,Private,268183,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,195372,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -19,?,318264,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,188888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -42,Private,111468,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,3325,0,40,United-States,<=50K -56,Self-emp-inc,131916,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -73,Private,123160,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -51,?,76437,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,120131,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,30690,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,10,United-States,<=50K -26,?,176077,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -58,State-gov,32367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,209900,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,213897,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,Hong,>50K -46,Private,231515,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,Cuba,<=50K -74,Self-emp-not-inc,45319,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,20,Canada,<=50K -41,Private,223062,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,159016,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -18,?,78181,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,118861,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -63,Federal-gov,95680,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -61,Private,101265,12th,8,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Italy,<=50K -18,Private,151463,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -71,Self-emp-inc,45741,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,30,United-States,>50K -60,Private,238913,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K -48,Private,113598,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -54,Private,146834,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,48014,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,France,<=50K -64,Self-emp-inc,51286,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,6418,0,65,United-States,>50K -24,Local-gov,134181,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -38,Private,115289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,80158,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,259931,11th,7,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,30,United-States,<=50K -23,Private,170302,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K -58,Private,163113,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K -37,Private,74593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -21,Private,322931,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -67,Self-emp-not-inc,173935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K -27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,145441,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Private,186256,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,167336,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -46,Private,114797,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,36,United-States,<=50K -26,Private,261278,Some-college,10,Separated,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K -43,State-gov,41834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K -49,Private,337666,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,159123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Self-emp-inc,120131,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,?,<=50K -54,Private,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,195843,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -19,Private,137578,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -22,Private,214134,10th,6,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -50,Local-gov,151143,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,110171,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,284826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -67,Private,279980,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,10605,0,10,United-States,>50K -32,Private,279912,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,180096,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,360097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -65,Private,136384,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,61778,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -53,Private,183973,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -23,Private,112819,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,116632,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,44364,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K -43,Private,575172,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,32,United-States,>50K -60,?,204486,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -43,Private,67339,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K -35,Private,92440,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -28,Private,181776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Local-gov,268252,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,62,United-States,<=50K -32,Self-emp-not-inc,197867,Assoc-voc,11,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -20,Private,69911,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -41,?,202822,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K -46,Federal-gov,330901,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,94245,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,174662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K -57,Local-gov,139452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -56,Local-gov,571017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -35,Private,117381,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K -31,Local-gov,85057,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -26,Private,35917,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,175290,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K -35,Private,207676,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,240458,11th,7,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,139907,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,378723,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K -28,Private,273929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,60,United-States,<=50K -38,Private,191103,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K -37,Self-emp-not-inc,188774,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,>50K -30,Private,271710,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -25,Private,161478,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -29,Private,59732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -46,Local-gov,267952,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -52,Private,358554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -45,Private,151627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Private,185053,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,128272,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,86150,11th,7,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K -34,Self-emp-inc,156192,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -56,Private,175127,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -24,Private,464502,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K -32,Private,211028,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,266645,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -51,State-gov,68898,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,2444,39,United-States,>50K -23,Private,580248,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Federal-gov,325089,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -61,Private,162397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,188779,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K -22,Private,374116,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -58,Self-emp-not-inc,196403,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K -20,Private,34242,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -60,State-gov,119832,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,75804,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K -18,?,387641,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,169679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,81548,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,161155,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,228752,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,152811,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,187167,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -58,Private,213975,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,167691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,216475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1564,43,United-States,>50K -57,Private,188330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K -20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,31935,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,206459,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -28,?,303674,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,3103,0,20,United-States,<=50K -49,State-gov,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K -33,Private,251421,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,171091,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -40,Private,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -52,Private,146015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,311743,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K -34,Private,198265,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -41,Private,180181,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,117721,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -40,Private,196626,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -20,Private,130840,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Local-gov,330174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,128714,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K -47,Private,159075,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,207392,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -56,Private,83922,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,State-gov,32694,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Local-gov,231180,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,139000,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -27,Private,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K -47,Self-emp-not-inc,162924,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -36,Private,182074,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,381741,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -73,Federal-gov,142426,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,25124,0,20,United-States,>50K -48,Self-emp-inc,275100,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,Greece,>50K -53,Private,380086,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,48,United-States,>50K -25,Private,221078,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,159732,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,196158,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -31,Local-gov,128016,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,160815,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,124771,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,152263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -48,Private,130812,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,86459,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -45,Private,170600,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,88781,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K -41,Private,171351,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,139464,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,Ireland,<=50K -21,Private,196742,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,<=50K -36,State-gov,108320,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,5455,0,30,United-States,<=50K -34,Private,190151,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -24,State-gov,161783,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K -27,Private,391468,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,355313,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,196342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Ireland,<=50K -33,Private,177331,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,112929,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,35,United-States,<=50K -46,Private,202606,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,30,Haiti,<=50K -22,Private,233955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,14344,0,40,United-States,>50K -46,Private,31411,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K -31,Private,222654,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,814850,9th,5,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -24,Private,83141,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,150999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,217530,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,El-Salvador,<=50K -23,Private,244698,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -51,Private,161482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -69,?,163595,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -72,Private,163921,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -59,?,179078,HS-grad,9,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,212102,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -46,Private,346978,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -73,Self-emp-not-inc,161251,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K -79,Private,172220,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,2964,0,30,United-States,<=50K -19,Private,186717,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,144071,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -22,Private,100587,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K -30,Private,188403,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,189664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,155574,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,?,212888,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,<=50K -19,Self-emp-not-inc,194205,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -20,Private,162282,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -36,Private,194630,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,190895,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,151267,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,15024,0,40,United-States,>50K -31,Private,112062,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,37028,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -35,Self-emp-not-inc,140854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,182570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -50,Private,283676,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,312017,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,161018,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -26,Local-gov,386949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -18,Private,35065,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K -50,Private,767403,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -23,Private,91733,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,3325,0,40,United-States,<=50K -21,Private,124242,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,State-gov,24342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -20,Private,167868,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,452924,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -55,Private,96415,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -47,State-gov,149337,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,<=50K -40,Private,442045,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,113838,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3137,0,60,Germany,<=50K -42,Self-emp-not-inc,201520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,53553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -21,Self-emp-not-inc,304602,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K -41,Private,119721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,194850,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Mexico,<=50K -33,Private,141841,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,40,United-States,>50K -67,Private,192995,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,6723,0,40,United-States,<=50K -51,?,521665,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -55,Federal-gov,272339,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -64,State-gov,223830,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -54,Private,209947,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -57,Self-emp-inc,368797,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,127441,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -24,Private,227610,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,58,United-States,<=50K -28,Private,380390,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,78261,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K -36,Local-gov,110866,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,202125,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,24108,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-inc,103948,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,289748,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,48,United-States,<=50K -18,Private,65098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -27,Federal-gov,182637,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K -56,Private,183169,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,450695,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Self-emp-not-inc,55912,9th,5,Never-married,Craft-repair,Unmarried,White,Male,0,0,47,United-States,<=50K -49,State-gov,131302,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,44,United-States,<=50K -30,?,183746,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -60,Private,178312,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,1902,70,United-States,>50K -74,Federal-gov,181508,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K -24,Private,99970,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,265638,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,281384,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,117789,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -33,Local-gov,189145,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,128016,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -31,Private,300828,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K -69,Private,192660,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -31,Private,196788,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -57,?,300104,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,7298,0,84,United-States,>50K -72,?,28929,11th,7,Widowed,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -54,Private,284129,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -71,Private,99549,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,88824,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,227879,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,68895,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Mexico,<=50K -44,Local-gov,181344,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,38,United-States,>50K -22,Private,152744,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -41,Private,289669,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Local-gov,115457,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,209214,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -20,Private,299047,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -17,Private,209949,11th,7,Never-married,Sales,Own-child,White,Female,0,1602,12,United-States,<=50K -56,Local-gov,305767,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -42,Private,252518,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,?,<=50K -46,Private,185673,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,56072,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -34,Local-gov,230420,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,328301,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,4934,0,60,United-States,>50K -52,Self-emp-not-inc,183146,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,127651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -25,Private,201737,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,224377,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,63633,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -33,Private,137421,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,Japan,<=50K -31,Self-emp-inc,162442,Masters,14,Never-married,Sales,Own-child,White,Female,27828,0,40,United-States,>50K -18,?,280901,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -30,Private,149427,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -51,Private,427781,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,187711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,405577,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,115358,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,97883,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Self-emp-inc,133060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,78277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -37,Self-emp-inc,126569,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,396722,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -20,?,162667,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -21,Private,188923,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,165949,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,1590,42,United-States,<=50K -41,Private,78410,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -49,Self-emp-inc,315998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,215596,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -47,Self-emp-not-inc,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -39,?,157443,Masters,14,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,3464,0,40,?,<=50K -28,Private,45613,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,216010,HS-grad,9,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,102359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,124111,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K -67,Local-gov,190661,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,7896,0,50,United-States,>50K -28,Private,145284,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,119939,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,93639,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K -47,?,58440,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,161950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K -22,Private,251073,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -52,?,188431,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -34,?,73296,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Private,167159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K -34,Private,198091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K -32,Private,296282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,183319,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -21,Private,138816,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -28,Private,38309,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K -31,Local-gov,197550,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,33,United-States,<=50K -51,Self-emp-inc,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -22,Private,113936,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,State-gov,177035,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,382802,10th,6,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,1590,40,United-States,<=50K -23,Private,117480,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K -33,Private,252340,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,318280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -58,Self-emp-not-inc,105592,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -45,Private,238567,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -57,Self-emp-not-inc,130957,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,United-States,>50K -40,Private,231348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,191893,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -60,Private,40856,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -34,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -26,Private,220656,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -54,Private,104413,Some-college,10,Separated,Tech-support,Other-relative,Black,Female,4101,0,40,United-States,<=50K -65,Private,95644,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,112358,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -47,Private,192053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K -51,Private,229272,HS-grad,9,Divorced,Other-service,Other-relative,Black,Male,0,0,32,Haiti,<=50K -49,Private,99361,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,190228,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,222618,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K -26,Private,57512,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -54,Private,82566,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,93034,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -50,Private,594521,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,197319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Private,112403,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K -33,Private,251521,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,369538,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -64,State-gov,222966,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,139364,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K -47,Private,418961,Assoc-voc,11,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -25,?,161235,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,90,United-States,<=50K -20,Private,375698,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -19,?,28967,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,89334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,222596,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Poland,>50K -66,?,128614,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,>50K -42,Self-emp-not-inc,373403,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,144084,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -38,State-gov,112497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -35,Self-emp-inc,289430,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,>50K -25,Private,295919,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,131404,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -18,Local-gov,28357,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,115215,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,129024,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -48,Private,182211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -39,Private,38312,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -25,Private,189775,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -36,State-gov,47072,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -62,Private,77884,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -20,?,49819,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,89884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,44121,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,194869,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,Private,181667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,46,Canada,<=50K -33,Private,265168,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,<=50K -32,Private,164190,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,235124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,120238,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -30,Private,156890,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,248886,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K -43,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -28,Private,54042,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,2463,0,35,United-States,<=50K -56,Federal-gov,61885,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,2001,65,United-States,<=50K -28,Private,94128,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,177083,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -72,?,177226,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -18,Private,201871,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,139057,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,India,<=50K -37,Private,262409,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,213,45,United-States,<=50K -39,?,201105,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -45,Private,226246,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,State-gov,240738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,221495,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,104525,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -47,Local-gov,204377,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,90291,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,200246,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,293136,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Local-gov,343079,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1740,20,United-States,<=50K -62,Self-emp-not-inc,116626,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Federal-gov,128608,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,164647,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K -33,Private,280923,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,183801,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K -31,Private,145439,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,Private,215890,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,199484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,365739,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -41,Private,408229,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K -35,Private,186489,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K -24,Private,257500,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,451996,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,157303,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -74,?,340939,9th,5,Married-civ-spouse,?,Husband,White,Male,3471,0,40,United-States,<=50K -41,Self-emp-inc,163215,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -24,Private,127159,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,24,?,<=50K -26,Private,227489,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,?,<=50K -32,Private,604506,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,72,Mexico,<=50K -57,Private,173796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -29,Federal-gov,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,2174,0,40,United-States,<=50K -47,Private,289517,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -33,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -28,Private,227840,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,?,257250,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,264095,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,9386,0,24,Cuba,>50K -45,Private,187666,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,202206,11th,7,Separated,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K -32,Self-emp-not-inc,46746,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -39,Self-emp-not-inc,188335,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,290688,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,114605,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,332379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,258819,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -79,Local-gov,146244,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,138852,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,?,32276,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,181246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,49017,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -30,Private,163604,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,>50K -49,Private,148995,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,83064,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,111067,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,>50K -26,Private,269060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Local-gov,248346,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -52,Local-gov,72036,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,25,United-States,<=50K -52,Private,141301,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,93034,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -46,Local-gov,162566,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,Canada,<=50K -18,?,172214,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -19,Private,310158,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,100584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,48087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,73928,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -58,Private,220896,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,368140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,233851,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,State-gov,209280,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,6514,0,35,United-States,>50K -23,Private,120172,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,232938,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,101593,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -40,Private,223730,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -50,Federal-gov,36489,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,195891,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Iran,<=50K -31,Private,131568,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K -73,?,177773,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -37,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,160035,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,20809,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,>50K -17,Private,138507,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -20,?,162945,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -36,Local-gov,102729,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -74,?,132112,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -43,Private,34007,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,169549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,65408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -20,Local-gov,38455,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -45,Private,306889,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -33,Private,166961,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Self-emp-not-inc,177974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,99,United-States,<=50K -31,Private,37546,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,35,United-States,>50K -19,?,39477,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -17,Private,79464,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -48,Self-emp-inc,238966,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Private,279340,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Private,172709,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,97176,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K -24,?,169624,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,37,United-States,<=50K -36,Federal-gov,72338,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -29,Private,568490,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,253799,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,England,<=50K -19,Private,172368,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -61,Private,136262,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,158118,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,40,United-States,<=50K -28,Private,188928,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,253354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,105475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -42,Private,137136,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K -23,?,164574,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,205708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -50,Private,313297,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -48,Private,80430,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,315643,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -41,Private,51506,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,210736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K -44,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K -26,Private,197292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -44,Private,523484,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,94662,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -20,?,34862,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,72,United-States,<=50K -46,Private,114032,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,45,United-States,>50K -49,Self-emp-not-inc,340755,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -33,Private,213813,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,169397,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -65,Self-emp-not-inc,227531,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,118551,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,>50K -46,Private,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Self-emp-not-inc,186845,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K -54,Private,199392,5th-6th,3,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,Nicaragua,<=50K -35,Self-emp-not-inc,157473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -77,Private,213136,Doctorate,16,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,210848,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,35,Mexico,<=50K -23,Private,212407,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,185041,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -20,Private,257509,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,230883,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,2824,48,United-States,>50K -56,Private,206399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,?,399449,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -45,Self-emp-not-inc,91044,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -34,Local-gov,303867,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,232586,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -24,Private,113631,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,29819,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,50,United-States,>50K -50,Private,114758,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Local-gov,44216,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -39,Federal-gov,116369,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -18,Self-emp-not-inc,132986,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,94041,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,Ireland,<=50K -47,Private,247869,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,0,0,50,United-States,>50K -24,Private,149457,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,377754,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,330850,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -60,Self-emp-not-inc,193038,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -37,Private,34173,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,250517,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,192251,Some-college,10,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K -22,Private,385540,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -38,Private,89202,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,295010,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,465334,11th,7,Divorced,Farming-fishing,Unmarried,White,Male,0,0,1,United-States,<=50K -53,Private,161691,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4865,0,40,United-States,<=50K -21,Private,178255,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,Columbia,<=50K -44,?,208726,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,121038,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,43,United-States,<=50K -43,Local-gov,113324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,165599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -38,Private,183800,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,288154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K -42,Private,132633,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,?,<=50K -34,Self-emp-inc,265917,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,298510,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,37440,Bachelors,13,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -34,Private,140571,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,116632,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -20,Self-emp-inc,465725,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -46,Private,108699,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,280464,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,80,United-States,>50K -48,Private,135525,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -54,Private,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,148600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,163342,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -24,Private,449101,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,216096,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -39,Private,355468,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,46,United-States,>50K -44,Local-gov,24982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,341643,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,247676,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,45,United-States,<=50K -60,Private,43235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,Private,34541,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,Canada,<=50K -47,Private,275361,Assoc-acdm,12,Widowed,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -62,Private,29828,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,48,United-States,>50K -44,Private,222011,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,>50K -21,Private,33016,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -64,Self-emp-inc,161325,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K -73,Private,139978,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,211154,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -80,?,91901,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -19,Private,46162,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -25,Private,159662,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,26,United-States,>50K -37,Private,220696,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,167678,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,>50K -30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K -25,Private,332702,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -55,Private,102058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,104501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -40,State-gov,377018,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -54,Private,76268,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K -74,Self-emp-not-inc,146929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,193494,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,>50K -37,Self-emp-inc,98389,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -71,Federal-gov,149386,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,9,United-States,<=50K -69,State-gov,50468,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,>50K -23,Private,91842,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Private,255004,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -61,Private,147280,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Federal-gov,198265,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,198790,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -37,Self-emp-not-inc,289430,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -42,?,212206,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,1887,48,United-States,>50K -41,Private,110318,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,160246,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Local-gov,190226,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,194759,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,74784,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -31,Private,323069,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,?,<=50K -26,Private,231638,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,176711,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,358382,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,52,United-States,<=50K -29,Private,113870,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -39,Private,337778,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K -17,Private,191260,9th,5,Never-married,Other-service,Own-child,White,Male,1055,0,24,United-States,<=50K -49,Private,166215,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,200046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Private,340755,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,121441,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -61,Private,119684,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,20,United-States,>50K -50,Private,172052,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,South,>50K -48,State-gov,170142,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -58,Private,430005,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -50,State-gov,24185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -49,Private,38819,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -81,?,106765,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K -48,Self-emp-not-inc,175622,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,338320,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Local-gov,118853,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,99,United-States,>50K -18,Private,57108,11th,7,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K -37,Private,172694,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,50,United-States,<=50K -64,Local-gov,31993,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,10,United-States,<=50K -20,?,432376,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K -36,Private,33394,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,35,United-States,>50K -61,Self-emp-not-inc,140141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,140664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -39,Private,174368,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -55,?,216941,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,2885,0,40,United-States,<=50K -48,Private,109421,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -49,Private,330535,Doctorate,16,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -18,Private,110230,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,11,United-States,<=50K -24,Federal-gov,29591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,163921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -40,Private,71305,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,111895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,227734,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K -19,Federal-gov,215891,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -20,?,232022,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,?,308995,Some-college,10,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Private,102945,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,State-gov,100063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,198096,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -19,Private,159313,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,154089,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K -62,Private,195343,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K -46,Local-gov,199281,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,116608,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K -56,Private,244605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,183802,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,34364,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,174856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K -38,Local-gov,286405,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -35,Private,269323,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -26,?,133373,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K -55,Federal-gov,27385,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,174102,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -70,?,149040,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,12,United-States,<=50K -42,Private,107276,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K -18,?,184502,11th,7,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -53,Private,204584,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,123253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -23,Private,695136,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -17,Local-gov,157111,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -51,State-gov,87205,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -20,Private,211968,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,182323,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,196232,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -34,Private,258675,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,75140,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -40,Private,208277,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,44,United-States,>50K -64,Private,43738,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K -39,Federal-gov,127048,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,208513,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -23,Private,81145,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -44,?,174147,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,1602,12,United-States,<=50K -71,Private,101577,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1668,20,United-States,<=50K -56,Self-emp-not-inc,183081,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -43,State-gov,308498,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,260254,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,231601,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,State-gov,154610,Bachelors,13,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,1719,15,United-States,<=50K -17,Private,57324,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,165054,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,114719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -53,Private,350510,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -68,?,117542,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,15,United-States,<=50K -29,?,189765,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -42,State-gov,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,56392,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Never-worked,176673,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -29,Private,82242,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,27828,0,45,Germany,>50K -28,Private,328923,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,38,United-States,<=50K -33,Private,392812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -27,Private,283913,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,65,England,<=50K -18,Private,183315,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K -64,Private,253759,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,3,United-States,<=50K -37,Private,284582,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,197284,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,63685,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Cambodia,<=50K -63,Private,287972,Bachelors,13,Widowed,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K -28,Private,94880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,Mexico,<=50K -22,Private,186365,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,144608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,53123,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -27,Private,174645,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,State-gov,40024,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -39,Private,105803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,329088,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,84319,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,45156,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,41,United-States,<=50K -19,?,272166,Some-college,10,Never-married,?,Own-child,White,Male,0,1602,30,United-States,<=50K -39,Private,28572,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Local-gov,203250,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,460408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,196857,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,94235,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,81846,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,218555,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,1762,40,United-States,<=50K -51,Self-emp-not-inc,171924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,108438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Private,120080,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -24,?,41356,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Local-gov,116620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -26,Local-gov,46097,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -30,State-gov,343789,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,329170,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,70,United-States,<=50K -31,Private,159322,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,43280,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Private,213668,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,8614,0,65,United-States,>50K -22,Private,172766,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,189072,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,45,United-States,<=50K -20,Private,259788,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Private,171069,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K -21,?,108670,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,111829,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,444134,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,?,239120,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,13,United-States,<=50K -61,Local-gov,153264,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,49340,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,171868,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -49,Private,371299,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,262617,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -20,Private,24274,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -24,Private,354351,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,155890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -47,Private,182177,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,23,United-States,<=50K -35,Local-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,149218,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -52,Self-emp-inc,29887,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -28,Private,96337,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,?,274451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,222829,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -39,Private,179016,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Private,143459,9th,5,Separated,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K -65,?,105017,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,381357,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -24,Private,278130,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,276548,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -55,Local-gov,134042,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -27,Private,112754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,United-States,<=50K -61,Private,200427,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -73,Private,92298,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,15,United-States,<=50K -53,Private,97411,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -49,Private,61885,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -53,Private,182186,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -42,Local-gov,111252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,376936,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,162028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2415,6,United-States,>50K -37,?,254773,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,604537,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -29,Private,216481,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -40,Private,309990,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,159888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,154571,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -48,Private,47343,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,128354,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K -38,?,36425,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -47,Private,191277,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -39,Private,205338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Federal-gov,117362,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,174201,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,106373,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,280525,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -70,Self-emp-not-inc,280639,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,2329,0,20,United-States,<=50K -38,Private,20308,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -20,Private,366929,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,188564,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -24,Local-gov,56820,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,203628,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -28,State-gov,225904,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,228724,Some-college,10,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,111797,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K -56,Private,168625,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K -38,Local-gov,181721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -72,Private,174993,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,State-gov,85632,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,159179,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -53,Private,98561,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Male,0,0,39,United-States,>50K -63,Self-emp-not-inc,298249,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K -30,Private,377017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -39,Self-emp-not-inc,597843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Columbia,<=50K -18,?,62854,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,196253,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,222853,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,248057,HS-grad,9,Separated,Handlers-cleaners,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -51,State-gov,155594,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -21,Private,203715,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,35459,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,129640,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,185145,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,>50K -46,State-gov,247992,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,127315,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,101103,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -31,Federal-gov,108464,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,179666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,Canada,<=50K -36,Private,126675,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -40,Private,219869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,75,United-States,>50K -22,?,376277,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,375606,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,160449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -24,Private,354691,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,150999,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K -37,Private,208358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -27,Private,237466,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -21,Private,213041,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K -36,Private,217077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -54,Local-gov,188446,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,208946,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K -22,Private,170302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,1974,45,United-States,<=50K -26,Private,93017,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,216129,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,300760,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -39,Private,49020,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,40,United-States,<=50K -23,Private,214542,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,115387,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K -74,Private,211075,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,97054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -30,Private,137991,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K -38,Private,174717,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Self-emp-not-inc,70604,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3464,0,40,United-States,<=50K -54,Self-emp-not-inc,117674,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -53,Private,217568,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,442035,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,36480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -27,Private,135520,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K -60,Private,74243,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -71,Private,148003,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1911,38,United-States,>50K -52,Private,176240,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Private,185039,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -35,Private,297574,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -33,Private,56701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K -17,Local-gov,173497,11th,7,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K -22,Private,192017,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,273230,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,<=50K -33,Self-emp-not-inc,361817,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -24,Private,121313,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,33895,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -55,?,103654,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,174150,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,115439,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -28,Private,179008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,195602,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K -26,Private,224361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,188644,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Mexico,<=50K -46,Private,166269,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,75050,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -37,Private,111128,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,188694,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -66,Private,304957,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,25,United-States,<=50K -62,?,221064,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,348099,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -60,Private,54800,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -54,Private,249352,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -65,?,244749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,Cuba,<=50K -38,Private,219757,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Local-gov,134181,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K -29,Private,183061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -22,Private,169188,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,121168,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,196467,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Private,187167,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Self-emp-inc,142719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -70,Private,642830,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -26,Private,163747,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -59,Local-gov,170423,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -66,State-gov,41506,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -70,Self-emp-not-inc,143833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,40,United-States,>50K -51,State-gov,167065,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-inc,158751,Assoc-voc,11,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -17,Private,132755,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -23,Private,235071,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -45,Private,217654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,>50K -37,Private,65390,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,125892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K -27,Private,176683,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -51,Private,27804,Some-college,10,Divorced,Priv-house-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -44,Private,184527,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,4934,0,45,United-States,>50K -28,Federal-gov,187649,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,177989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,127728,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -32,Private,257043,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -52,Federal-gov,31838,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,289448,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,2205,30,Philippines,<=50K -33,Private,116508,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,306225,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -29,Private,261375,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K -36,Local-gov,139703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Federal-gov,26585,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -63,Local-gov,147440,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Federal-gov,56063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,227594,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,56870,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,State-gov,194252,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K -19,Federal-gov,53220,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,1602,20,United-States,<=50K -28,Private,183639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,21,United-States,<=50K -28,Private,224506,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,?,<=50K -23,Private,320451,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K -50,Self-emp-not-inc,127151,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Canada,>50K -52,Federal-gov,207841,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,147500,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -32,Private,191777,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,35,England,<=50K -40,Private,59916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,105010,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2051,20,United-States,<=50K -47,Private,275967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K -58,Private,216941,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,423311,HS-grad,9,Married-AF-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,366089,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -36,Private,163237,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Private,328669,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -54,Self-emp-not-inc,114758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -55,Federal-gov,146477,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,247564,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,506830,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,163290,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -54,?,135840,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,104329,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,228649,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -54,Local-gov,182388,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -63,Private,271075,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,29,United-States,<=50K -30,Private,163003,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,52,Taiwan,<=50K -50,Self-emp-inc,104849,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -35,Private,132879,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,Italy,>50K -57,Private,300908,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,75,United-States,<=50K -36,Self-emp-inc,173968,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,156897,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,1564,55,United-States,>50K -19,Private,283945,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,369164,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,46281,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,Private,200450,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,52,United-States,<=50K -35,Private,208259,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K -53,Private,83434,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,21,Japan,>50K -31,Private,25610,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K -23,Private,348420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,147269,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K -64,Private,207188,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,82622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,35330,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,55,United-States,<=50K -53,Private,133436,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Local-gov,511289,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -49,Private,106705,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K -32,Private,80058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-inc,110890,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -31,Private,216827,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,51170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -38,Local-gov,289430,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -38,State-gov,22245,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -57,Private,170287,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -42,Private,32981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,181661,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,142647,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,482082,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,Mexico,<=50K -26,?,132749,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,80,United-States,<=50K -45,Self-emp-not-inc,192203,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -21,?,223515,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,109390,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,70,United-States,<=50K -57,Self-emp-not-inc,103948,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -35,Private,198202,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K -46,Self-emp-not-inc,102308,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -43,Self-emp-not-inc,325775,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -36,Private,408229,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -63,Private,281237,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,195124,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,Dominican-Republic,<=50K -40,Federal-gov,78036,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K -20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,219137,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K -34,Private,345705,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1408,38,United-States,<=50K -27,Private,37088,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,295099,Some-college,10,Divorced,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -17,Private,23856,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -52,Local-gov,84808,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,160029,11th,7,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -20,Private,72520,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -21,Private,225823,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,149102,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,324654,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K -52,Private,198863,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,60,United-States,>50K -41,Self-emp-not-inc,151990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K -24,Private,224954,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,192939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,116508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -19,Private,292590,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,100584,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,184846,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K -42,Private,53956,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,747719,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -78,?,27979,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,32,United-States,<=50K -39,Self-emp-not-inc,139770,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -31,Federal-gov,59732,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -53,Private,290640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K -27,Private,253814,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -33,Private,402848,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,32,United-States,<=50K -37,Private,308691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,311015,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,357720,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,296982,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,116952,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -26,Private,275703,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -58,Federal-gov,129786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,256620,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,154571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -21,Self-emp-not-inc,318865,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,25828,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -55,Local-gov,176046,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2267,40,United-States,<=50K -36,Self-emp-inc,242080,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -23,Private,179423,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,5,United-States,<=50K -47,Private,191957,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -39,Private,342768,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -48,Private,125421,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -41,Private,156526,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,65740,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -30,Private,112263,11th,7,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,323811,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -37,Private,271767,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K -38,Private,212437,Assoc-acdm,12,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -56,Self-emp-not-inc,356067,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K -60,?,124487,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K -20,Private,112706,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K -39,Private,132879,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -48,Private,199739,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,93690,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,283969,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K -38,Private,112497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,218542,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,185061,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,311569,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,99894,5th-6th,3,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -33,Private,186824,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,111836,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -29,Private,134152,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,232308,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,213179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -26,State-gov,287420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -26,Private,333541,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -38,Private,161141,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -59,Private,380357,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,State-gov,395078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,State-gov,385357,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -21,?,79728,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,138269,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,146879,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K -50,Self-emp-inc,447144,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,75171,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,336598,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K -42,Private,363591,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,130386,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,93770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -33,Private,188861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,107231,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -55,State-gov,199713,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -43,Private,169383,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,Private,157595,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,67001,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,103111,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K -37,Private,185567,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,>50K -47,Private,248059,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,>50K -56,Self-emp-not-inc,108496,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,352614,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K -55,?,376058,9th,5,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -53,Private,348287,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,183522,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -22,?,32732,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -30,Private,118056,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -44,Local-gov,174575,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -20,Private,41356,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,54202,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-inc,40666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -30,Private,143392,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,111994,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K -34,Private,242460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -62,Local-gov,33365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K -40,Private,119225,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,160101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -73,Private,29675,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K -35,Private,287701,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,>50K -33,Local-gov,190027,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,18,United-States,<=50K -28,Private,192283,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,80,United-States,>50K -25,Self-emp-not-inc,368115,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,35,United-States,>50K -23,Private,170482,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -29,Private,138537,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -43,Local-gov,212490,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,411862,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,118657,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,117767,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,157831,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -25,Private,216010,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -50,Private,114564,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,189656,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,United-States,>50K -38,Federal-gov,303817,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,187934,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,Poland,<=50K -23,Private,172047,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,152617,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,83444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K -19,Private,238474,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,97683,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -38,Private,179123,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -63,Private,76286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,India,>50K -21,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,138370,Masters,14,Married-spouse-absent,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K -35,Private,78247,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,?,433330,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,248178,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K -33,Private,155343,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,114939,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -50,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -28,Private,199566,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -51,Private,179646,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,200679,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,50,United-States,<=50K -31,Private,174201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,285902,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,270335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,Philippines,>50K -48,Self-emp-not-inc,196707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -42,Local-gov,228320,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,109080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -46,Federal-gov,362835,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K -32,Private,379412,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,45054,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -26,Local-gov,72594,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -25,Private,216583,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K -52,Private,31460,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -17,Private,118792,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,24,United-States,<=50K -59,Private,118479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -36,Private,183425,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,200089,11th,7,Never-married,Farming-fishing,Other-relative,White,Male,0,0,36,El-Salvador,<=50K -36,Private,659504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -55,Private,151474,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,1590,38,United-States,<=50K -27,Private,157612,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -39,Private,290922,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -38,Local-gov,414791,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,187322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,32,United-States,<=50K -21,Private,178363,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -56,Private,175127,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,171087,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -27,Private,153475,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -44,Private,214415,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,211032,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -67,?,200862,10th,6,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -29,?,1024535,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K -34,Private,27494,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K -23,?,113700,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -20,Private,88231,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,?,61343,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,192133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Greece,<=50K -26,Private,39092,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K -21,Private,216867,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,164320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -73,Private,247355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,Canada,<=50K -65,?,315728,HS-grad,9,Widowed,?,Unmarried,White,Female,2329,0,75,United-States,<=50K -22,Private,305466,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,177154,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Private,122066,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,2603,40,Greece,<=50K -42,Private,118212,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,167536,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,201785,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -56,Self-emp-not-inc,118614,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K -60,Private,145995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,375833,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,162688,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,313146,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,158592,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -27,Private,127833,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -39,Private,186420,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,348092,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -34,?,370209,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,346034,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -35,Private,340110,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,70,United-States,>50K -30,Private,350979,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -39,Self-emp-not-inc,246900,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,223515,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K -44,Private,152744,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -29,Private,184596,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,50,United-States,<=50K -21,State-gov,132247,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,170769,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,60,United-States,>50K -54,Private,118793,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -51,Federal-gov,293196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,153516,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -23,Private,181820,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,79637,Bachelors,13,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -21,Private,189013,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,156805,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -64,Private,151540,11th,7,Widowed,Tech-support,Unmarried,White,Female,0,0,16,United-States,<=50K -57,Federal-gov,42298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K -27,Private,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,241185,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -39,Local-gov,357173,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,59,United-States,<=50K -53,Private,96062,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -74,Self-emp-not-inc,173929,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,>50K -22,Private,121076,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,Local-gov,345911,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,210736,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -27,Private,160786,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K -20,Private,235691,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Local-gov,269168,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,?,<=50K -34,Private,314375,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,State-gov,195212,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K -70,Private,176940,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -47,Private,84726,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,182074,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,111499,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,40,United-States,>50K -18,Private,100875,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -59,Private,95165,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -60,Local-gov,101110,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K -20,Private,217807,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -37,Private,95336,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -18,Private,118376,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,114580,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,197389,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -49,?,57665,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,298635,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -19,Private,134252,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -32,Private,167063,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,7,United-States,>50K -20,Private,332689,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,228724,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Private,169995,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -77,Private,117898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Local-gov,216657,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K -22,Private,496856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,100321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,177147,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,29361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,212619,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -53,Local-gov,192982,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K -40,Private,224910,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,200098,Bachelors,13,Divorced,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K -48,Private,118717,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,228190,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,123397,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -21,Private,411068,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -28,Private,57066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,311826,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,18,United-States,<=50K -35,Private,186819,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K -54,Private,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -47,Private,192713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Private,103886,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,65868,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K -25,Private,74977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,137527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -63,Self-emp-not-inc,231777,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Local-gov,119904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,30,United-States,>50K -48,Local-gov,225594,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -18,Never-worked,157131,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -17,Private,191535,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,7,United-States,<=50K -34,Private,141841,HS-grad,9,Separated,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Private,33121,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -31,Private,234976,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -59,Self-emp-not-inc,199240,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K -37,Private,224541,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,171870,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -36,Private,67728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,Italy,<=50K -40,Private,247245,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,54363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,125762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -48,Private,192779,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,106982,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,49115,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -41,Local-gov,160893,Preschool,1,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -27,Private,289147,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,133569,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -23,Private,177787,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,England,<=50K -70,?,187972,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,24361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Local-gov,238959,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,>50K -61,Private,477209,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K -40,Self-emp-not-inc,243636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,Private,151399,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,167140,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -31,Private,103573,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -41,Local-gov,488706,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,339372,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,229842,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,<=50K -24,?,205940,9th,5,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -18,Private,193741,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,30,United-States,<=50K -22,Private,203076,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,71650,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,153522,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K -44,Private,297248,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Columbia,<=50K -26,Private,278916,Some-college,10,Separated,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -34,Local-gov,119411,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,Portugal,<=50K -75,State-gov,220618,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -39,Self-emp-not-inc,341643,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1669,50,United-States,<=50K -29,Private,147755,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -27,Private,333296,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K -23,Federal-gov,173851,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,8,United-States,<=50K -20,Private,88676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,185336,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -39,Private,154641,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,207173,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -54,Self-emp-inc,357596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -38,Private,229015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,279923,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,234428,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -19,Private,191986,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,132847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,342121,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,212245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,323919,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,224566,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,115677,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K -22,Self-emp-inc,150683,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K -30,Private,275632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -20,?,121023,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,148121,Some-college,10,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -37,Federal-gov,470663,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,179747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -25,Local-gov,48317,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,Private,149648,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,171636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,United-States,<=50K -48,Private,36228,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K -25,Private,193051,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -42,Local-gov,96524,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Private,200511,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -50,Private,38310,7th-8th,4,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -50,Private,55527,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,100252,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,60,South,<=50K -51,Private,165953,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K -33,Private,473133,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -68,Private,146011,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,3273,0,42,United-States,<=50K -25,Private,98283,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,173944,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,15024,0,65,United-States,>50K -37,Private,122493,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,251795,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -32,Private,155293,12th,8,Divorced,Sales,Not-in-family,White,Female,0,1762,45,United-States,<=50K -40,Private,277256,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,55,United-States,>50K -66,?,112871,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,305834,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,165827,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,386236,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K -36,Private,185099,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -45,Private,28035,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K -35,Private,177102,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -63,Private,184319,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K -67,Private,64148,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,41,United-States,<=50K -44,Private,370502,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Mexico,<=50K -50,Private,174964,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,239409,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,150324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,607848,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -38,Private,149347,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,311194,11th,7,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K -72,Self-emp-not-inc,473748,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -71,Self-emp-not-inc,139889,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -22,State-gov,124942,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -26,Private,167350,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -55,Self-emp-inc,257216,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,197495,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,192939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -55,Federal-gov,300670,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,>50K -38,Private,96732,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K -43,Private,247162,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,203488,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,116800,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,228424,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -50,Private,196193,Masters,14,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,60,?,<=50K -33,Private,73054,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,90729,11th,7,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,United-States,<=50K -46,Private,192894,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,30,United-States,<=50K -37,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,289982,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,285335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Private,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -22,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,243900,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -18,Private,162084,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,172927,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,147476,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,State-gov,324791,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -61,State-gov,254890,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,99127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,155489,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Private,175925,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,165754,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -46,Self-emp-not-inc,130779,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K -49,Private,165539,Some-college,10,Never-married,Priv-house-serv,Not-in-family,Black,Female,0,0,90,Jamaica,<=50K -44,Private,150098,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,>50K -31,Local-gov,213307,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,60331,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,44767,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,>50K -61,Federal-gov,91726,Masters,14,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -28,Private,430084,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -73,Private,113446,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K -20,Private,316702,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,283122,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,32,United-States,<=50K -35,Private,290498,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,Mexico,<=50K -56,Private,169133,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Yugoslavia,<=50K -28,Private,51331,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,16,United-States,>50K -18,Private,184016,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,169662,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -69,Private,108196,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,218678,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,174704,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,306405,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,240841,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -41,Private,171234,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -53,Self-emp-not-inc,168539,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -22,Private,234731,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,189941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,60,United-States,>50K -31,Private,257849,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -82,Private,152148,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,2,United-States,<=50K -41,Private,224799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -59,Federal-gov,99131,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,314375,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -43,Self-emp-not-inc,61287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,193285,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,174826,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,159319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,200207,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,132686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,59083,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,156780,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -42,Private,195821,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,144521,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,163434,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,192835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K -31,Private,874728,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -40,Local-gov,150755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,75,United-States,>50K -42,Private,279914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,119099,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -45,Private,168598,12th,8,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K -20,Private,313786,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,134287,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,27305,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,163258,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,55860,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Private,211162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,375807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -47,Private,168262,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,209344,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,?,<=50K -49,Self-emp-not-inc,155862,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -25,?,237865,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,?,<=50K -33,Private,168030,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -36,Private,473547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K -31,Private,220690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -37,?,102541,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -28,Private,130856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -41,Private,195096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -55,Private,124808,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,Germany,>50K -34,Private,54850,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K -45,Self-emp-inc,84324,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,136077,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,86185,Some-college,10,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -29,Private,134331,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,81259,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -45,Self-emp-not-inc,123681,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,475775,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,22,United-States,<=50K -51,Local-gov,106365,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,179415,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -37,Private,86310,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -31,Private,106347,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,42,United-States,<=50K -51,Self-emp-not-inc,159755,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -36,Private,262688,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,50,United-States,>50K -49,Private,90907,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Outlying-US(Guam-USVI-etc),>50K -40,Private,269168,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -26,Private,103700,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,198197,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -50,Private,188186,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,1590,45,United-States,<=50K -48,Private,209460,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,225014,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,180299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -53,Private,91911,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,0,0,48,United-States,<=50K -30,Private,251825,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,113543,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -47,Private,99911,12th,8,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -20,Private,257470,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -53,?,133963,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,397962,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -42,State-gov,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,181705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -23,Private,236696,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,20,Iran,<=50K -44,Federal-gov,296858,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,>50K -50,Federal-gov,222020,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -47,Private,304857,Masters,14,Separated,Tech-support,Not-in-family,White,Male,27828,0,40,United-States,>50K -20,Private,408988,Some-college,10,Never-married,Sales,Own-child,White,Female,594,0,24,United-States,<=50K -38,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,44,United-States,<=50K -30,Private,103649,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,143098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,China,>50K -44,Private,105896,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -21,Private,197387,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -71,Private,105200,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,6767,0,20,United-States,<=50K -22,Private,196943,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,175017,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Italy,<=50K -58,Private,212864,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,201769,11th,7,Never-married,Protective-serv,Not-in-family,Black,Male,13550,0,40,United-States,>50K -48,Private,177211,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,161210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -34,Local-gov,229531,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -57,Self-emp-not-inc,35561,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -39,Self-emp-not-inc,188069,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -44,Private,143939,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,133299,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,183915,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,41163,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -37,Local-gov,212005,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Private,178154,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,86745,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -33,?,209432,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K -63,Private,286990,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,Private,344696,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,392100,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,77336,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,186303,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,170846,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -45,Private,146497,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -82,Self-emp-not-inc,240491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K -55,Private,121912,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,>50K -34,Private,114955,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,224849,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,183105,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,44,Cuba,<=50K -59,Private,202682,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,155621,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Columbia,<=50K -51,Local-gov,169182,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,Columbia,<=50K -42,Self-emp-inc,348886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Local-gov,378045,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -56,Private,94345,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -56,Private,169086,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,?,>50K -36,Local-gov,192337,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Local-gov,66824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,43,United-States,<=50K -39,Private,548510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,30,United-States,<=50K -28,?,201844,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -41,Private,36699,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K -25,Private,172402,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,158926,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K -29,Local-gov,302422,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,1564,56,United-States,>50K -49,Private,120121,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -43,Local-gov,105896,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Local-gov,252250,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -23,Private,119704,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,205359,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K -63,Self-emp-not-inc,22228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -52,Private,145879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -52,Private,284329,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -25,Private,254933,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,150106,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,198366,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,20,United-States,<=50K -41,?,173651,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -60,Private,191188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,103925,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Local-gov,272166,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K -25,Private,141706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,127651,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K -57,Self-emp-inc,244605,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,97279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,109413,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,274579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -48,Self-emp-not-inc,32825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,268127,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,152461,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,14344,0,50,United-States,>50K -44,Self-emp-not-inc,158555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,174419,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -51,Private,144522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -50,Local-gov,283314,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K -47,Private,192776,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,163455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K -32,Private,43403,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,1590,54,United-States,<=50K -46,Private,31432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,52,United-States,>50K -32,State-gov,181119,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,?,<=50K -22,Private,304710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Vietnam,<=50K -35,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,383566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,England,>50K -22,Private,60668,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,117381,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -17,Private,33611,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Self-emp-inc,246025,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,20,Honduras,<=50K -53,State-gov,229465,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,314819,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -47,Private,275867,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,154568,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -34,Private,50276,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -25,Private,236267,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,1590,40,United-States,<=50K -32,Local-gov,32587,HS-grad,9,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -25,Private,86646,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,48,United-States,<=50K -66,Self-emp-inc,165609,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,174063,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,390369,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -30,Private,174704,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -59,Local-gov,105866,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K -30,Local-gov,295737,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -65,?,249043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,40,United-States,>50K -45,Self-emp-not-inc,31478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,60,United-States,<=50K -59,Private,186479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Self-emp-not-inc,357283,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Federal-gov,94937,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,191954,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -65,?,240857,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,40,United-States,>50K -35,State-gov,88215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -41,Private,163287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K -35,Self-emp-not-inc,160728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,214542,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -66,State-gov,102640,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -30,Local-gov,102130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,194891,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,77247,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -80,Self-emp-not-inc,26865,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -77,Private,88269,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -29,State-gov,118520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -37,Private,267085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,37019,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,279538,11th,7,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,2961,0,35,United-States,<=50K -46,Private,188293,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,410240,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,182907,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -25,Private,148460,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,4416,0,40,Puerto-Rico,<=50K -33,Private,201988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -31,Self-emp-inc,149726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,339863,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,48,United-States,>50K -46,Local-gov,149551,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,50,United-States,<=50K -19,Private,129059,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,30,United-States,<=50K -41,State-gov,153095,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,241350,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K -31,Private,185480,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,?,>50K -25,?,12285,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -49,Local-gov,173584,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,State-gov,150657,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -45,Private,103540,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -26,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -19,Private,278870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -68,Self-emp-not-inc,197015,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,283515,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -72,?,188009,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,?,213004,Some-college,10,Never-married,?,Own-child,White,Female,0,1719,30,United-States,<=50K -62,Private,135480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K -17,Private,147069,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -45,Private,178530,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,174543,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,349689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,92262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,207578,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -44,State-gov,115932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,186916,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K -19,Private,144793,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,248249,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,175769,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,185520,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K -23,Private,109199,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,151588,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,323639,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -45,Private,357540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2002,55,United-States,<=50K -50,Federal-gov,237503,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,244115,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -32,?,13862,HS-grad,9,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -41,Private,433989,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4386,0,60,United-States,>50K -26,Private,58426,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -38,State-gov,149455,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,668362,1st-4th,2,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,366066,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,185859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -29,Private,120986,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -51,Federal-gov,321494,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,120277,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,211678,10th,6,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,64,United-States,<=50K -31,Private,35864,Bachelors,13,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -26,Private,40915,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,134890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,184553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -24,Private,266926,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,132397,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,18,United-States,<=50K -62,Private,110586,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -61,State-gov,162678,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,?,203784,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,277783,Masters,14,Never-married,Farming-fishing,Own-child,White,Male,0,0,99,United-States,<=50K -33,Private,56150,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -31,Private,37939,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,266529,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -42,Private,198422,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,303521,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,30069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -38,Private,85074,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,193871,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K -39,Private,184531,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -73,Self-emp-not-inc,336007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,325744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,126414,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K -29,Private,236436,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,34310,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,40,United-States,<=50K -49,Private,149949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K -37,Private,170408,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,State-gov,151322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,89413,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,345705,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,24529,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,15,United-States,<=50K -19,Private,238969,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -67,?,45537,Masters,14,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,>50K -34,Private,49469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,99999,0,50,United-States,>50K -35,Private,306868,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -27,State-gov,122540,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,282951,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,215618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,311497,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,194981,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,<=50K -48,Private,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -28,Self-emp-inc,191129,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -26,Self-emp-inc,79078,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,159796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -34,Private,123291,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -59,Private,151977,10th,6,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K -30,Private,96480,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K -36,Private,321274,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,Private,175777,10th,6,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,22422,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,203076,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -23,Private,192812,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,214635,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -35,Private,216256,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -39,Private,51100,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -46,?,110243,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,1977,20,United-States,>50K -54,Private,139347,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Federal-gov,255386,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -19,Private,144161,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -34,Self-emp-not-inc,213887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,Canada,>50K -44,Private,13769,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -48,Self-emp-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -37,Private,38468,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,155659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,>50K -45,Private,205644,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,26,United-States,<=50K -35,Self-emp-inc,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,185330,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K -19,Private,340094,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -50,Self-emp-inc,67794,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,84298,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -27,Private,230563,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,368739,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,211547,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K -30,Private,119411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Local-gov,140219,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,55,United-States,>50K -40,Private,377322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K -38,Private,472604,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -33,Private,53373,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,284652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -66,Self-emp-not-inc,439777,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -48,Private,154033,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K -52,Private,177995,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,Mexico,>50K -40,Private,342164,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -28,Private,156819,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K -20,Private,81145,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,67244,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Private,178249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -46,Private,250821,Prof-school,15,Divorced,Farming-fishing,Unmarried,White,Male,0,0,48,United-States,<=50K -34,Private,220362,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,195124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -68,?,229016,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -32,Private,347623,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,135716,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,216068,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,30656,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -43,Private,336643,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,149102,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Poland,<=50K -34,Private,303187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -35,Private,187415,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K -43,Self-emp-inc,314739,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,92,United-States,>50K -22,Local-gov,249727,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -42,Private,187294,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,343872,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,Haiti,<=50K -41,Federal-gov,564135,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,286370,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K -68,Private,194746,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,Cuba,<=50K -63,Private,85420,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,15,United-States,<=50K -30,Private,97453,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K -34,Private,226443,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,90688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Laos,<=50K -46,Private,204379,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,37,United-States,<=50K -37,Self-emp-not-inc,137527,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,60,United-States,>50K -17,Private,40432,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K -31,Private,158162,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K -29,Private,146764,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -55,?,193895,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K -31,Local-gov,219883,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,111243,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -17,?,165361,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,303986,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K -53,Federal-gov,117847,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,425622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,236601,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2339,43,United-States,<=50K -35,Self-emp-inc,82051,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -64,Private,125684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,196554,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K -30,Private,211840,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K -24,Local-gov,252024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -24,Private,33616,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -59,Private,87510,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,146906,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,144154,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,?,91417,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -28,Private,398220,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,269015,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -38,Federal-gov,215419,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,Canada,<=50K -57,?,182836,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3103,0,40,United-States,>50K -24,Private,309055,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -24,Private,125905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,?,185936,9th,5,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -42,Self-emp-not-inc,53956,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K -32,Private,162370,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,35,Iran,<=50K -33,State-gov,200289,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,19,India,<=50K -35,Private,117555,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,292120,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,172232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K -69,State-gov,163689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -32,Private,142675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,139012,Assoc-voc,11,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K -46,Local-gov,111558,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,182211,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,70,United-States,<=50K -62,Self-emp-inc,56248,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,60,United-States,>50K -23,Local-gov,200593,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,205100,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Germany,<=50K -51,Self-emp-not-inc,195634,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,20,United-States,>50K -19,Private,247679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,177596,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -29,Private,168479,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,110171,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -27,Private,113635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K -55,Private,176904,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -51,Federal-gov,335481,Some-college,10,Separated,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -25,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,4101,0,60,?,<=50K -25,Private,141876,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,81010,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -60,Self-emp-not-inc,143932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,143058,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,192060,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,30,?,<=50K -30,Private,156464,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Germany,<=50K -29,Local-gov,205262,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,Ecuador,<=50K -34,Private,116677,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,190910,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,107410,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -57,Private,87317,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -61,Federal-gov,197311,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,34297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,?,218558,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,290226,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,117059,11th,7,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,Private,493034,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,124187,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K -24,Private,86153,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,258306,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -42,Private,314649,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -26,Private,340335,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,106957,11th,7,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,14344,0,40,Vietnam,>50K -43,Private,212206,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,Private,240629,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,52012,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -31,Private,137385,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,50,United-States,<=50K diff --git a/comparison_algs_src/postprocessing/factory.cpp b/comparison_algs_src/postprocessing/factory.cpp deleted file mode 100644 index ad87847..0000000 --- a/comparison_algs_src/postprocessing/factory.cpp +++ /dev/null @@ -1,147 +0,0 @@ -#include "factory.h" - -#include "classifier_gabil.h" -/*#include "classifier_lcs.h" - #include "classifier_adaptive.h"*/ -#include "classifier_hyperrect.h" -#include "classifier_hyperrect_list.h" -#include "classifier_hyperrect_list_real.h" -#include "classifier_hyperrect_sse.h" -#include "classifier_rotated_hyperrect.h" -#include "classifier_hyperrect_list_discrete.h" -/*#include "classifier_instances.h"*/ -#include "configManagement.h" -#include "instanceSet.h" -#include "attributesInfo.h" -#include "timerGlobals.h" - -extern configManagement cm; -extern instanceSet *is; -extern attributesInfo ai; -extern timerGlobals *tGlobals; - -classifierFactory::classifierFactory() { - - /*if (cm.thereIsParameter(KR_ADI)) - classifierType = KR_ADI;*/ - /*else*/ - if (cm.thereIsParameter(KR_HYPERRECT)) { - - if (cm.thereIsParameter(HYPERRECT_LIST)) { - - if (ai.onlyRealValuedAttributes()) { - - classifierType = KR_HYPERRECT_LIST_REAL; -// } else if (!ai.thereAreRealValuedAttributes()) { -// classifierType = KR_HYPERRECT_LIST_DISCRETE; - - } else { - classifierType = KR_HYPERRECT_LIST; - - } - } else { - - if (ai.onlyRealValuedAttributes()) { - - if (cm.thereIsParameter(ROTATE_HYPERRECTANGLES)) { - - classifierType = KR_ROTATED_HYPERRECT; - } else { - - classifierType = KR_HYPERRECT_SSE; - } - } else { - - classifierType = KR_HYPERRECT; - } - } - /*else if (cm.thereIsParameter(KR_INSTANCE_SET)) - classifierType = KR_INSTANCE_SET; - else if (cm.thereIsParameter(KR_LCS)) - classifierType = KR_LCS;*/ - } else { - - classifierType = KR_GABIL; - } - - //mb.printf("Classifier type: %d\n", classifierType); -} - -classifier *classifierFactory::createClassifier(int numRep) { - /*if (classifierType == KR_ADI) - return new classifier_adaptive();*/ - if (classifierType == KR_HYPERRECT) - return new classifier_hyperrect(); - if (classifierType == KR_ROTATED_HYPERRECT) - return new classifier_rotated_hyperrect(); - if (classifierType == KR_HYPERRECT_SSE) - return new classifier_hyperrect_sse(); - if (classifierType == KR_HYPERRECT_LIST) - return new classifier_hyperrect_list(); - if (classifierType == KR_HYPERRECT_LIST_REAL) - return new classifier_hyperrect_list_real(); - if (classifierType == KR_HYPERRECT_LIST_DISCRETE) - return new classifier_hyperrect_list_discrete(numRep); - /*if (classifierType == KR_INSTANCE_SET) - return new classifier_instances(); - if (classifierType == KR_LCS) - return new classifier_lcs();*/ - return new classifier_gabil(); -} - -classifier *classifierFactory::cloneClassifier(classifier * orig, int son) { - /*if (classifierType == KR_ADI) - return new classifier_adaptive( - *((classifier_adaptive *) orig), son);*/ - - if (classifierType == KR_HYPERRECT) - return new classifier_hyperrect(*((classifier_hyperrect *) orig), son); - if (classifierType == KR_HYPERRECT_SSE) - return new classifier_hyperrect_sse( - *((classifier_hyperrect_sse *) orig), son); - if (classifierType == KR_HYPERRECT_LIST) - return new classifier_hyperrect_list( - *((classifier_hyperrect_list *) orig), son); - if (classifierType == KR_HYPERRECT_LIST_REAL) - return new classifier_hyperrect_list_real( - *((classifier_hyperrect_list_real *) orig), son); - if (classifierType == KR_HYPERRECT_LIST_DISCRETE) - return new classifier_hyperrect_list_discrete( - *((classifier_hyperrect_list_discrete *) orig), son); - if (classifierType == KR_ROTATED_HYPERRECT) - return new classifier_rotated_hyperrect( - *((classifier_rotated_hyperrect *) orig), son); - - /*if (classifierType == KR_INSTANCE_SET) - return new classifier_instances( - *((classifier_instances *) orig), son); - - if (classifierType == KR_LCS) - return new classifier_lcs( - *((classifier_lcs *) orig), son);*/ - - return new classifier_gabil(*((classifier_gabil *) orig), son); -} - -void classifierFactory::deleteClassifier(classifier * ind) { - /*if (classifierType == KR_ADI) - delete(classifier_adaptive *) ind; - else*/if (classifierType == KR_HYPERRECT) - delete (classifier_hyperrect *) ind; - else if (classifierType == KR_HYPERRECT_SSE) - delete (classifier_hyperrect_sse *) ind; - else if (classifierType == KR_HYPERRECT_LIST) - delete (classifier_hyperrect_list *) ind; - else if (classifierType == KR_HYPERRECT_LIST_REAL) - delete (classifier_hyperrect_list_real *) ind; - else if (classifierType == KR_HYPERRECT_LIST_DISCRETE) - delete (classifier_hyperrect_list_discrete *) ind; - else if (classifierType == KR_ROTATED_HYPERRECT) - delete (classifier_rotated_hyperrect *) ind; - /*else if (classifierType == KR_INSTANCE_SET) - delete(classifier_instances *) ind; - else if (classifierType == KR_LCS) - delete(classifier_lcs *) ind;*/ - else - delete (classifier_gabil *) ind; -} diff --git a/comparison_algs_src/postprocessing/factory.h b/comparison_algs_src/postprocessing/factory.h deleted file mode 100644 index 6b69890..0000000 --- a/comparison_algs_src/postprocessing/factory.h +++ /dev/null @@ -1,16 +0,0 @@ -#ifndef _CLASSIFIER_FACTORY_H_ -#define _CLASSIFIER_FACTORY_H_ - -#include "classifier.h" - -class classifierFactory { - int classifierType; -public: - - classifierFactory(); - classifier *createClassifier(int numRep=-1); - classifier *cloneClassifier(classifier *orig,int son=0); - void deleteClassifier(classifier *ind); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/factory.o b/comparison_algs_src/postprocessing/factory.o deleted file mode 100644 index 1c1072e..0000000 Binary files a/comparison_algs_src/postprocessing/factory.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/ga.cpp b/comparison_algs_src/postprocessing/ga.cpp deleted file mode 100644 index 252acfd..0000000 --- a/comparison_algs_src/postprocessing/ga.cpp +++ /dev/null @@ -1,184 +0,0 @@ -#include "ga.h" -#include "configManagement.h" -#include "timerGlobals.h" -#include "random.h" -#include "timeManagement.h" -#include "messageBuffer.h" -#include "timerGlobals.h" -#include "attributesInfo.h" - -extern Random rnd; -extern timeManagement tm; -extern instanceSet *is; -extern configManagement cm; -static int optimizationMethod; -extern int lastIteration; -extern messageBuffer mb; -extern int numTasks; -extern timerGlobals *tGlobals; - - -int rankOrder(const void *pA, const void *pB) { - rank *a = (rank *) pA; - rank *b = (rank *) pB; - - return a->ind->compareToIndividual2(b->ind, optimizationMethod); -} - -void geneticAlgorithm::createPopulationRank() { - int i; - - for (i = 0; i < popSize; i++) { - populationRank[i].pos = i; - populationRank[i].ind = population[i]; - } - qsort(populationRank, popSize, sizeof(rank), rankOrder); -} - -void geneticAlgorithm::initializePopulation() { - int i; - - popSize = (int) cm.getParameter(POP_SIZE); - - population = new classifier *[popSize]; - offspringPopulation = new classifier *[popSize]; - if (!population || !offspringPopulation) { - perror("out of memory"); - exit(1); - } - - for (i = 0; i < popSize; i++) { - population[i] = cf->createClassifier(); - if (!population[i]) { - perror("out of memory"); - exit(1); - } - } - - populationRank = new rank[popSize]; - flagResetBest = 0; - currentIteration = 0; -} - -void geneticAlgorithm::initializeBalancedPopulation() { - int i; - - popSize = (int) cm.getParameter(POP_SIZE); - - population = new classifier *[popSize]; - offspringPopulation = new classifier *[popSize]; - if (!population || !offspringPopulation) { - perror("out of memory"); - exit(1); - } - - //Add just one classifier with 0 atts - i = 0; - population[i++] = cf->createClassifier(0); - - //Add twice the number of atts of classifiers with 1 atts - for (; i < tGlobals->numAttributesMC * 2 + 1; i++) { - population[i] = cf->createClassifier(1); - } - - int tam; - for (; i < popSize; i++) { - tam = i % (tGlobals->numAttributesMC - 2); - population[i] = cf->createClassifier(tam + 2); - //cout << tam << " " << i << "\n"; - if (!population[i]) { - perror("out of memory"); - exit(1); - } - } - - populationRank = new rank[popSize]; - flagResetBest = 0; - currentIteration = 0; -} - -void geneticAlgorithm::doFitnessComputations() { - int i; - - classifier ** pop = population; - - - //printf("Fitness serial\n"); - for (i = 0; i < popSize; i++) { - pop[i]->fitnessComputation(); - } - -// for (i = 1; i < popSize; i++) { -// double fitness = population[i]->getFitness(); -// if (fitness > maxFitness) { -// maxFitness = fitness; -// } -// if (fitness < minFitness) { -// minFitness = fitness; -// } -// } - -} - -void geneticAlgorithm::resetBest() { - flagResetBest = 1; -} - -void geneticAlgorithm::checkBestIndividual() { - int i; - - int currVer = is->getCurrentVersion(); - - if (best[currVer] == NULL) { - best[currVer] = cf->cloneClassifier(populationRank[0].ind); - } else { - - best[currVer]->fitnessComputation(); - if (best[currVer]->compareToIndividual(populationRank[0].ind, - optimizationMethod) < 0) { - //mb.printf("Best indiv %d replaced\n",currVer); - cf->deleteClassifier(best[currVer]); - best[currVer] = cf->cloneClassifier(populationRank[0].ind); - } - } -} - -void geneticAlgorithm::destroyPopulation() { - int i; - - for (i = 0; i < popSize; i++) - cf->deleteClassifier(population[i]); - delete population; - delete populationRank; - delete offspringPopulation; -} - -geneticAlgorithm::geneticAlgorithm(classifierFactory *pCF, int balanced) { - cf = pCF; - - optimizationMethod = (int) cm.getParameter(MAX_MIN); - - numVersions = is->numVersions(); - best = new classifier *[numVersions + 1]; - for (int i = 0; i < numVersions; i++) - best[i] = NULL; - - if (balanced) { - initializeBalancedPopulation(); - } else { - initializePopulation(); - } - doFitnessComputations(); - createPopulationRank(); - checkBestIndividual(); -} - -geneticAlgorithm::~geneticAlgorithm() { - destroyPopulation(); - for (int i = 0; i < numVersions; i++) - if (best[i]) - cf->deleteClassifier(best[i]); - delete best; -} - - diff --git a/comparison_algs_src/postprocessing/ga.h b/comparison_algs_src/postprocessing/ga.h deleted file mode 100644 index 7b24156..0000000 --- a/comparison_algs_src/postprocessing/ga.h +++ /dev/null @@ -1,51 +0,0 @@ -#ifndef _GA_ -#define _GA_ - -#include "factory.h" -#include "random.h" -#include "instanceSet.h" -#include -#include - -typedef struct { - int pos; - classifier *ind; -} rank; - -extern instanceSet *is; - - -class geneticAlgorithm { - int currentIteration; - int popSize; - classifierFactory *cf; - classifier **population, **offspringPopulation; - rank *populationRank; - int flagResetBest; - int numVersions; - classifier **best; - - - void checkBestIndividual(); - - - - void initializePopulation(); - void initializeBalancedPopulation(); - -public: - void doFitnessComputations(); - void destroyPopulation(); - geneticAlgorithm(classifierFactory *cf,int balanced=0); - ~geneticAlgorithm(); - classifier **getPopulation() { return population; } - classifier *getBest() { return best[is->getCurrentVersion()]; } - classifier *getWorst() { - return population[populationRank[popSize - 1].pos]; - } - rank *getPopulationRank() { return populationRank; } - void resetBest(); - void createPopulationRank(); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/ga.o b/comparison_algs_src/postprocessing/ga.o deleted file mode 100644 index 4de036b..0000000 Binary files a/comparison_algs_src/postprocessing/ga.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/instance.cpp b/comparison_algs_src/postprocessing/instance.cpp deleted file mode 100644 index 6cacb5f..0000000 --- a/comparison_algs_src/postprocessing/instance.cpp +++ /dev/null @@ -1,165 +0,0 @@ -#include "instance.h" -#include "JVector.h" -#include "JString.h" -#include -#include "attributesInfo.h" -#include "messageBuffer.h" - -extern attributesInfo ai; -extern messageBuffer mb; - -instance::instance(int pID,char *string,int pTraintest) -{ - int i,j; - - traintest=pTraintest; - id=pID; - missingValues=0; - numAttributes=ai.getNumAttributesMC(); - - //realValues=NULL; - //if(ai.thereAreRealValuedAttributes()) { - int num=numAttributes; - //if(ai.onlyRealValuedAttributes()) { - if(num%4) { - num+=(4-num%4); - } - //} - realValues=new aligned_float[num]; - bzero(realValues,num*sizeof(float)); - //} - - missing=NULL; - - //nominalValues=NULL; - //if(ai.thereAreNominalAttributes()) { - // nominalValues=new unsigned char[numAttributes]; - //} - - parseInstance(string); -} - -int instance::extractNominalValue(char *instance,int attribute) -{ - if(attributecstr()); - mb.printf("%s,",ai.getNominalValue(i, (unsigned char)realValues[i])->cstr()); - } else { - mb.printf("%.3f,",realValues[i]); - } - } - mb.printf("%s\n",ai.getNominalValue(numAttributes, instanceClass)->cstr()); -} - -void instance::normalize() -{ - int i; - - for(i=0;i -#include -#include -#include "JVector.h" -#include "JString.h" -#include "attributesInfo.h" -#include "utils.h" -#include "windowingILAS.h" -#include "windowingGWS.h" -#include "random.h" -#include "messageBuffer.h" -#include "timeManagement.h" -#include "timerMDL.h" - - -extern messageBuffer mb; -extern attributesInfo ai; -extern Random rnd; -extern configManagement cm; -extern timeManagement tm; -extern int nodeRank; -extern timerMDL *tMDL; - -void instanceSet::readFile(char fileName[], int &numInstances, int traintest) -{ - FILE *fp; - char string[200000]; - JVector tempSet(1000,100000); - int num = 0; - - fp = fopen(fileName, "r"); - if (!fp) { - fprintf(stderr,"Can't open %s\n",fileName); - exit(1); - } - - parseHeader(fp, traintest); - - fgets(string, 199999, fp); - while (!feof(fp)) { - string[strlen(string) - 1] = 0; - if(string[strlen(string) - 1]==13) - string[strlen(string) - 1] = 0; - if (string[0] != '%' && strlen(string) > 0) { - instance *tmp=new instance(num,string,traintest); - if(traintest==TRAIN) ai.insertInstance(tmp); - tempSet.addElement(tmp); - num++; - } - fgets(string, 199999, fp); - } - fclose(fp); - - numInstances = num; - printf("Num ins %d\n", numInstances); - set=new instance*[num]; - for(int i=0;i= max) { - fprintf(stderr,"Attribute %d inconsistent:%d %d\n", - numAttr, min, max); - exit(1); - } - ai.setTypeOfAttribute(numAttr,REAL); - mb.printf("Attribute %d integer [%d:%d]\n", numAttr, min, max);*/ - ai.setTypeOfAttribute(numAttr,REAL); - mb.printf("Attribute %d integer\n", numAttr); - -} - -void instanceSet::parseNominal(char *string, int numAttr) -{ - mb.printf("Attribute %d nominal\n", numAttr); - ai.setTypeOfAttribute(numAttr,NOMINAL); - int numValues = 0; - char *ptr = string; - ptr++; - while (*ptr != '}') { - char value[500]; - int size; - while (*ptr == ' ' || *ptr == '\t') ptr++; - for (size = 0; - !(*ptr == 0 || *ptr == ',' || *ptr == '}'); - value[size++] = *ptr++); - if (*ptr == 0) { - fprintf(stderr,"Parse error: %s\n", string); - exit(1); - } - value[size] = 0; - if (size > 0) { - JString *str = new JString(value); - ai.insertNominalValue(numAttr,str); - mb.printf("Value %d of attribute %d: %s\n", numValues, - numAttr, value); - numValues++; - } - if (*ptr == ',') ptr++; - } -} - -void instanceSet::parseAttribute(char *string, int numAttr) -{ - char name[5000]; - - string += 10; - while (*string == ' ' || *string == '\t') - string++; - - if(*string=='\'') { - string++; - int count=0; - while(*string!='\'') { - name[count++]=*string++; - } - name[count]=0; - string++; - } else { - if (sscanf(string, "%s", name) != 1) { - fprintf(stderr,"Parse error:%s\n", string); - exit(1); - } - string += strlen(name); - } - - - while (*string == ' ' || *string == '\t') - string++; - - mb.printf("Attribute %d:Name %s Def:%s\n", numAttr, name, string); - - ai.insertAttributeName(new JString(name)); - - if (!strcasecmp(string, "real") || !strcasecmp(string, "numeric")) { - parseReal(numAttr); - } else if (!strncasecmp(string, "integer", 7)) { - parseInteger(string, numAttr); - } else if (string[0] == '{') { - parseNominal(string, numAttr); - } else { - fprintf(stderr,"Unknown attribute type %s\n", string); - exit(1); - } -} - -void instanceSet::parseHeader(FILE * fp,int traintest) -{ - JVectorheader; - - char string[10000]; - int end = 0; - int numAttr = 0; - - fgets(string, 9999, fp); - while (!feof(fp) && !end) { - string[strlen(string)-1]=0; - if(string[strlen(string) - 1]==13) - string[strlen(string) - 1] = 0; - if (string[0] != '%' && strlen(string) > 1) { - if (!strncasecmp(string, "@relation", 9)) { - if (traintest == TRAIN) parseRelation(string); - } else if (!strncasecmp(string, "@attribute", 10)) { - if (traintest == TRAIN) { - char *tmp=new char[strlen(string)+1]; - strcpy(tmp,string); - header.addElement(tmp); - numAttr++; - } - } else if (!strncasecmp(string, "@data", 5)) { - end = 1; - } else { - fprintf(stderr,"Unknown header element:%s\n" - , string); - exit(1); - } - } - if(!end) - fgets(string, 9999, fp); - } - - if (traintest == TRAIN) { - ai.setNumAttributes(numAttr); - for(int i=0;isetInstances(set,numInstances); - win->newIteration(window,windowSize,strataOffset); - } - } else { - windowingEnabled=0; - window=NULL; - } -} - -instanceSet::instanceSet(char fileName[], int traintest) -{ - int i; - - window=NULL; - win=NULL; - readFile(fileName, numInstances, traintest); - if (!numInstances) { - fprintf(stderr,"Instances file %s is empty\n",fileName); - exit(1); - } - - if(!cm.thereIsParameter(IGNORE_MISSING_VALUES)) { - for(i=0;iupdateMissing(); - } - } - - if(cm.thereIsParameter(ROTATE_HYPERRECTANGLES)) { - for(i=0;inormalize(); - } - } - - origSet = new instance *[numInstances]; - numInstancesOrig=numInstances; - for(i=0;inewIteration(window,windowSize, strataOffset); - if(win->needReEval()) return 1; - return 0; - } - - return 0; -} - -void instanceSet::initInstanceLists() -{ - int i; - int numInst=getNumInstances(); - - countsByClass = new int[numClasses]; - initSamplings = new Sampling *[numClasses]; - instByClass = new int *[numClasses]; - - for(i=0;igetClass(); - countsByClass[cl]++; - } - - for(i=0;igetClass(); - instByClass[cl][countsByClass[cl]++]=i; - } -} - -instance *instanceSet::getInstanceInit(int forbiddenCL) -{ - if(classWiseInit) { - if(forbiddenCL!=numClasses) { - int allEmpty=1; - int i; - - for(i=0;i0) { - allEmpty=0; - break; - } - } - if(allEmpty) { - return NULL; - } - } - - int cl; - do { - if(forbiddenCL!=numClasses) { - cl=rnd(0,numClasses-2); - if(cl>=forbiddenCL) cl++; - } else { - cl=rnd(0,numClasses-1); - } - } while(countsByClass[cl]==0); - - int pos=initSamplings[cl]->getSample(); - int insIndex=instByClass[cl][pos]; - instance *ins=set[insIndex]; - - return ins; - } else { - int nc=numClasses; - int count[nc]; - int total=0; - int i; - if(forbiddenCL!=numClasses) nc--; - - for(i=0;inumSamplesLeft(); - else - count[i]=initSamplings[i+1]->numSamplesLeft(); - total+=count[i]; - } - int pos=rnd(0,total-1); - int acum=0; - int found=0; - for(i=0;i=forbiddenCL) i++; - - pos=initSamplings[i]->getSample(); - int insIndex=instByClass[i][pos]; - instance *ins=set[insIndex]; - - return ins; - } -} - - -void instanceSet::removeInstancesAndRestart(classifier *cla) -{ - int i; - - if(initSamplings) { - for(i=0;iinitiateEval(); - while(indexdoMatch(set[index])) { - //delete set[index]; - set[index]=set[numInstances-1]; - numRemoved++; - numInstances--; - } else { - countClassRem[set[index]->instanceClass]++; - index++; - } - } - cla->finalizeEval(); - - ai.updateClassCounters(countClassRem); - - /*if(tMDL->mdlAccuracy) { - for(i=0;iorigCoverageBreaks[i]; - tMDL->coverageBreaks[i]=ratio; - if(tMDL->coverageBreaks[i]>1) { - tMDL->coverageBreaks[i]=1; - } - if(nodeRank==0) { - mb.printf("New coverage break for class %d:%f\n",i, - tMDL->coverageBreaks[i]); - } - } - }*/ - - /*if(cm.thereIsParameter(WINDOWING_ILAS)) { - double ratio=(double)numOrig/(double)numInstances; - double numS=cm.getParameter(WINDOWING_ILAS)/ratio; - if(numS<2) { - numS=2; - } - if(nodeRank==0) { - mb.printf("New number of strata:%f\n",numS); - } - cm.setParameter(numS,WINDOWING_ILAS); - }*/ - - - if(nodeRank==0) { - mb.printf("Removed %d instances. %d Instances left. Acc of rule %f-%f \n" - ,numRemoved,numInstances,cla->getAccuracy(),cla->getAccuracy2()); - } - - - initInstanceLists(); - - initializeWindowing(TRAIN); -} - -void instanceSet::restart() -{ - int i; - - if(initSamplings) { - for(i=0;igetClass()]++; - } - - int max=counters[0]; - int classMax=0; - for(i=1;imax) { - max=counters[i]; - classMax=i; - } - } - - return classMax; -} - -int instanceSet::getMajorityClassExcept(int cl) -{ - int counters[numClasses]; - int i; - - for(i=0;igetClass(); - if(insCl!=cl) counters[insCl]++; - } - - int max=counters[0]; - int classMax=0; - for(i=1;imax) { - max=counters[i]; - classMax=i; - } - } - - return classMax; -} diff --git a/comparison_algs_src/postprocessing/instanceSet.h b/comparison_algs_src/postprocessing/instanceSet.h deleted file mode 100644 index 0c4d781..0000000 --- a/comparison_algs_src/postprocessing/instanceSet.h +++ /dev/null @@ -1,104 +0,0 @@ -#ifndef _INSTANCE_SET_ -#define _INSTANCE_SET_ - -#include "classifier.h" -#include -#include "JVector.h" -#include "windowing.h" -#include "sampling.h" - -#define TRAIN 1 -#define TEST 2 - -class instance; - - -class instanceSet { -private: - Sampling **initSamplings; - int *countsByClass; - int **instByClass; - void initInstanceLists(); - int numClasses; - int classWiseInit; - - windowing *win; - instance **set; - instance **origSet; - int numInstances; - int numInstancesOrig; - - int strataOffset; - - int windowingEnabled; - instance **window; - int windowSize; - - void readFile(char fileName[],int &numInstances,int traintest); - void parseHeader(FILE *,int traintest); - void parseRelation(char *string); - void parseReal(int numAtr); - void parseInteger(char *string,int numAtr); - void parseNominal(char *string,int numAtr); - void parseAttribute(char *string,int numAtr); - void initializeWindowing(int traintest); - -public: - instanceSet(char *fileName,int traintest); - ~instanceSet(); - - inline instance *getInstance(int index) { - if(windowingEnabled) return window[index]; - return set[index]; - } - inline instance **getInstancesOfIteration() { - if(windowingEnabled) return window; - return set; - } - - inline instance **getAllInstances() { - return set; - } - - inline instance **getOrigInstances() { - return origSet; - } - inline int getNumInstancesOrig() { - return numInstancesOrig; - } - - inline instance **getStratas() { - return win->getStratas(); - } - - instance *getInstanceInit(int forbiddenCL); - - inline int isWindowingEnabled() {return windowingEnabled;} - int getNumInstancesOfIteration(); - int getStrataOffsetOfIteration(); - int newIteration(int isLast); - inline int getNumInstances(){return numInstances;} - int numVersions(){ - if(windowingEnabled) return win->numVersions(); - return 1; - } - int getCurrentVersion(){ - if(windowingEnabled) return win->getCurrentVersion(); - return 0; - } - - void removeInstancesAndRestart(classifier *cla); - void restart(); - - int getMajorityClass(); - int getMajorityClassExcept(int cl); - - inline void setWindowingEnabled(int win) { - windowingEnabled = win; - } - -}; - - - -#endif diff --git a/comparison_algs_src/postprocessing/instanceSet.o b/comparison_algs_src/postprocessing/instanceSet.o deleted file mode 100644 index 9ea445d..0000000 Binary files a/comparison_algs_src/postprocessing/instanceSet.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/lex.yy.cpp b/comparison_algs_src/postprocessing/lex.yy.cpp deleted file mode 100644 index c2a3bab..0000000 --- a/comparison_algs_src/postprocessing/lex.yy.cpp +++ /dev/null @@ -1,4341 +0,0 @@ -#line 2 "lex.yy.cpp" - -#line 4 "lex.yy.cpp" - -#define YY_INT_ALIGNED short int - -/* A lexical scanner generated by flex */ - -#define FLEX_SCANNER -#define YY_FLEX_MAJOR_VERSION 2 -#define YY_FLEX_MINOR_VERSION 6 -#define YY_FLEX_SUBMINOR_VERSION 1 -#if YY_FLEX_SUBMINOR_VERSION > 0 -#define FLEX_BETA -#endif - -/* First, we deal with platform-specific or compiler-specific issues. */ - -/* begin standard C headers. */ -#include -#include -#include -#include - -/* end standard C headers. */ - -/* flex integer type definitions */ - -#ifndef FLEXINT_H -#define FLEXINT_H - -/* C99 systems have . Non-C99 systems may or may not. */ - -#if defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - -/* C99 says to define __STDC_LIMIT_MACROS before including stdint.h, - * if you want the limit (max/min) macros for int types. - */ -#ifndef __STDC_LIMIT_MACROS -#define __STDC_LIMIT_MACROS 1 -#endif - -#include -typedef int8_t flex_int8_t; -typedef uint8_t flex_uint8_t; -typedef int16_t flex_int16_t; -typedef uint16_t flex_uint16_t; -typedef int32_t flex_int32_t; -typedef uint32_t flex_uint32_t; -#else -typedef signed char flex_int8_t; -typedef short int flex_int16_t; -typedef int flex_int32_t; -typedef unsigned char flex_uint8_t; -typedef unsigned short int flex_uint16_t; -typedef unsigned int flex_uint32_t; - -/* Limits of integral types. */ -#ifndef INT8_MIN -#define INT8_MIN (-128) -#endif -#ifndef INT16_MIN -#define INT16_MIN (-32767-1) -#endif -#ifndef INT32_MIN -#define INT32_MIN (-2147483647-1) -#endif -#ifndef INT8_MAX -#define INT8_MAX (127) -#endif -#ifndef INT16_MAX -#define INT16_MAX (32767) -#endif -#ifndef INT32_MAX -#define INT32_MAX (2147483647) -#endif -#ifndef UINT8_MAX -#define UINT8_MAX (255U) -#endif -#ifndef UINT16_MAX -#define UINT16_MAX (65535U) -#endif -#ifndef UINT32_MAX -#define UINT32_MAX (4294967295U) -#endif - -#endif /* ! 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YY_CURRENT_BUFFER ){ \ - yyensure_buffer_stack (); \ - YY_CURRENT_BUFFER_LVALUE = \ - yy_create_buffer(yyin,YY_BUF_SIZE ); \ - } \ - YY_CURRENT_BUFFER_LVALUE->yy_is_interactive = is_interactive; \ - } - -#define yy_set_bol(at_bol) \ - { \ - if ( ! YY_CURRENT_BUFFER ){\ - yyensure_buffer_stack (); \ - YY_CURRENT_BUFFER_LVALUE = \ - yy_create_buffer(yyin,YY_BUF_SIZE ); \ - } \ - YY_CURRENT_BUFFER_LVALUE->yy_at_bol = at_bol; \ - } - -#define YY_AT_BOL() (YY_CURRENT_BUFFER_LVALUE->yy_at_bol) - -/* Begin user sect3 */ - -typedef unsigned char YY_CHAR; - -FILE *yyin = NULL, *yyout = NULL; - -typedef int yy_state_type; - -extern int yylineno; - -int yylineno = 1; - -extern char *yytext; -#ifdef yytext_ptr -#undef yytext_ptr -#endif -#define yytext_ptr yytext - -static yy_state_type yy_get_previous_state (void ); -static yy_state_type yy_try_NUL_trans (yy_state_type current_state ); -static int yy_get_next_buffer (void ); -static void yynoreturn yy_fatal_error (yyconst char* msg ); - -/* Done after the current pattern has been matched and before the - * corresponding action - sets up yytext. - */ -#define YY_DO_BEFORE_ACTION \ - (yytext_ptr) = yy_bp; \ - yyleng = (int) (yy_cp - yy_bp); \ - (yy_hold_char) = *yy_cp; \ - *yy_cp = '\0'; \ - (yy_c_buf_p) = yy_cp; - -#define YY_NUM_RULES 99 -#define YY_END_OF_BUFFER 100 -/* This struct is not used in this scanner, - but its presence is necessary. */ -struct yy_trans_info - { - flex_int32_t yy_verify; - flex_int32_t yy_nxt; - }; -static yyconst flex_int16_t yy_accept[1696] = - { 0, - 0, 0, 100, 98, 97, 97, 98, 98, 98, 98, - 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, - 98, 98, 98, 98, 98, 97, 0, 96, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 32, 0, 0, 39, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 42, 42, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 43, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 3, 0, 0, 0, 0, 30, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 51, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 43, 43, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, - 30, 30, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 87, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 4, 38, 0, 0, 0, - 0, 0, 0, 0, 0, 43, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, - 0, 0, 33, 30, 0, 31, 0, 0, 34, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 33, 33, - 0, 31, 31, 0, 0, 34, 34, 0, 0, 0, - 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 41, 0, 0, - 53, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 33, 0, 31, 0, 0, - 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 41, 41, 66, 27, 52, 0, 68, 0, 0, - 49, 0, 0, 54, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 40, 37, 0, 0, - 0, 17, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 29, - 0, 0, 41, 0, 68, 68, 71, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 55, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 28, 0, 0, 68, 71, 71, 0, 0, - 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - - 0, 10, 0, 0, 0, 0, 71, 0, 0, 0, - 0, 0, 0, 0, 13, 0, 0, 0, 0, 67, - 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 14, 14, 0, 0, - 0, 0, 0, 0, 90, 91, 92, 93, 94, 95, - 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, - - 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 12, 86, 8, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 35, 35, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 63, 0, 0, 0, 0, 0, - 0, 0, 70, 86, 86, 0, 0, 0, 0, 50, - 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 35, 0, 0, 0, - 0, 76, 0, 22, 0, 0, 0, 0, 0, 0, - - 63, 63, 0, 0, 9, 0, 0, 0, 0, 70, - 70, 86, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 16, 0, 0, 0, 0, 0, 0, 0, 78, - 0, 0, 56, 79, 75, 76, 76, 20, 0, 0, - 0, 0, 73, 63, 0, 0, 0, 0, 0, 0, - 70, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 16, 16, 0, 0, 0, 0, 0, 0, 0, 78, - 78, 0, 0, 56, 56, 79, 79, 75, 75, 76, - 21, 0, 0, 0, 0, 0, 0, 89, 0, 0, - 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, - - 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, - 78, 0, 0, 56, 79, 75, 0, 0, 0, 0, - 64, 0, 88, 0, 59, 0, 0, 0, 58, 58, - 0, 0, 0, 0, 0, 0, 0, 15, 0, 0, - 0, 0, 0, 0, 0, 0, 19, 0, 0, 0, - 64, 64, 0, 0, 0, 0, 0, 58, 0, 0, - 0, 0, 0, 0, 0, 15, 15, 0, 0, 0, - 0, 0, 0, 23, 36, 0, 0, 0, 64, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 15, 0, 0, 0, 84, 0, 0, 23, 23, - - 36, 36, 0, 0, 0, 0, 0, 0, 0, 61, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 47, 0, 23, 36, 0, 0, 0, 0, 80, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 57, 0, 0, 0, 74, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 72, 60, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 69, 0, 0, 0, 0, 0, 0, 0, 0, - 6, 5, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 83, 0, 0, 0, 0, 24, 25, - - 0, 0, 0, 83, 83, 0, 82, 0, 0, 25, - 25, 0, 0, 0, 83, 0, 0, 0, 25, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 77, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 81, - 0, 0, 0, 0, 45, 0, 0, 65, 0, 0, - 0, 0, 0, 46, 0 - - } ; - -static yyconst YY_CHAR yy_ec[256] = - { 0, - 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 4, 1, 1, 5, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 6, 7, 1, 8, 9, 10, - 11, 12, 13, 14, 8, 8, 8, 1, 1, 1, - 1, 1, 1, 1, 15, 16, 17, 18, 19, 20, - 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, - 24, 31, 32, 33, 34, 35, 36, 37, 38, 39, - 1, 1, 1, 1, 1, 1, 40, 41, 42, 43, - - 44, 45, 46, 47, 48, 24, 49, 50, 51, 52, - 53, 54, 24, 55, 56, 57, 58, 59, 60, 61, - 62, 63, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1 - } ; - -static yyconst YY_CHAR yy_meta[64] = - { 0, - 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, - 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, - 3, 3, 3 - } ; - -static yyconst flex_uint16_t yy_base[1710] = - { 0, - 0, 0, 2911, 4541, 62, 65, 2899, 52, 38, 81, - 67, 47, 51, 52, 96, 49, 90, 85, 52, 125, - 126, 130, 132, 53, 68, 90, 2897, 4541, 80, 92, - 117, 128, 135, 100, 129, 146, 138, 148, 144, 150, - 164, 167, 158, 164, 179, 175, 2895, 159, 178, 177, - 177, 181, 190, 182, 187, 187, 189, 194, 201, 193, - 209, 210, 209, 225, 211, 211, 233, 230, 223, 2876, - 230, 233, 237, 224, 239, 229, 248, 244, 251, 247, - 242, 243, 248, 254, 265, 255, 268, 261, 263, 260, - 263, 298, 299, 2845, 2827, 278, 295, 270, 283, 289, - - 2816, 291, 287, 290, 300, 293, 313, 311, 312, 298, - 304, 304, 325, 311, 320, 2815, 331, 320, 337, 335, - 332, 328, 331, 331, 2813, 2812, 330, 350, 2811, 346, - 351, 352, 354, 358, 345, 347, 349, 359, 368, 367, - 351, 362, 374, 370, 372, 383, 386, 2808, 390, 392, - 397, 382, 391, 389, 2727, 399, 395, 392, 396, 396, - 2726, 415, 2725, 402, 406, 414, 414, 418, 416, 421, - 418, 2666, 423, 2623, 2618, 440, 431, 437, 441, 437, - 446, 452, 437, 444, 445, 2616, 448, 451, 453, 456, - 470, 455, 466, 461, 462, 463, 472, 468, 481, 480, - - 486, 492, 479, 483, 480, 505, 491, 490, 496, 504, - 505, 537, 503, 506, 513, 515, 523, 557, 515, 530, - 2581, 537, 2574, 544, 530, 541, 535, 547, 548, 561, - 546, 551, 570, 561, 570, 571, 571, 2568, 590, 574, - 591, 585, 2531, 582, 597, 600, 599, 2530, 600, 595, - 600, 4541, 605, 594, 4541, 596, 603, 594, 602, 615, - 614, 622, 625, 613, 617, 621, 2528, 627, 2527, 618, - 619, 629, 642, 635, 646, 639, 649, 647, 653, 654, - 2501, 645, 662, 2500, 657, 666, 655, 666, 661, 672, - 666, 670, 678, 677, 671, 685, 690, 691, 695, 692, - - 694, 699, 700, 707, 2498, 2496, 699, 691, 696, 700, - 2492, 700, 2490, 716, 715, 722, 714, 727, 723, 722, - 722, 739, 738, 2489, 739, 728, 732, 738, 732, 730, - 737, 738, 753, 745, 745, 746, 761, 762, 757, 760, - 771, 763, 776, 773, 784, 786, 785, 772, 2488, 775, - 785, 780, 787, 796, 789, 800, 793, 794, 797, 2487, - 805, 811, 799, 817, 810, 807, 2486, 2482, 814, 811, - 2446, 814, 832, 866, 840, 839, 840, 837, 838, 836, - 845, 841, 852, 866, 864, 837, 867, 2441, 854, 868, - 867, 871, 869, 873, 873, 879, 888, 882, 875, 2439, - - 884, 889, 882, 893, 2438, 895, 2437, 2436, 886, 900, - 898, 905, 2435, 903, 904, 905, 920, 917, 914, 926, - 926, 918, 929, 914, 935, 935, 926, 929, 930, 938, - 931, 937, 940, 2434, 938, 951, 2400, 962, 954, 966, - 966, 973, 2393, 965, 1022, 968, 968, 972, 964, 966, - 968, 987, 989, 998, 982, 1002, 1003, 1011, 1007, 1024, - 1028, 1014, 1025, 1030, 1014, 1016, 2360, 1037, 1021, 1022, - 1041, 1074, 1048, 1035, 1038, 2359, 1048, 1049, 1042, 1092, - 1060, 1062, 1059, 1077, 1099, 1074, 1084, 1082, 1075, 1086, - 2358, 1086, 1091, 1106, 1107, 1100, 1112, 1102, 1105, 1103, - - 2340, 2339, 1102, 1103, 1104, 1121, 1109, 1113, 1131, 2338, - 1117, 1127, 1128, 1134, 2337, 1133, 1139, 1132, 1139, 1151, - 1170, 1189, 1170, 1160, 1171, 1178, 1171, 1167, 1174, 1174, - 1177, 1181, 1177, 1179, 1184, 1182, 1185, 1184, 2320, 1203, - 1202, 1207, 1197, 1189, 1200, 1204, 2307, 1217, 1253, 1210, - 1219, 1221, 1223, 2306, 2304, 2303, 2302, 2301, 2300, 1236, - 1229, 1275, 1240, 1255, 1248, 2299, 1290, 1257, 2297, 2258, - 1276, 2255, 1277, 1261, 1286, 1274, 1280, 1291, 1279, 2194, - 1293, 1290, 1300, 1299, 1305, 1290, 4541, 1308, 2155, 2152, - 1292, 1305, 1306, 1306, 1299, 1306, 1305, 1327, 1309, 1320, - - 1314, 1325, 1338, 1374, 1334, 1338, 1347, 1337, 1349, 1344, - 1343, 1355, 1347, 1361, 1365, 1366, 1374, 1373, 1370, 1378, - 1397, 1379, 2144, 1387, 1398, 1398, 2133, 1390, 1391, 1386, - 1419, 1442, 1401, 1416, 2126, 1419, 1410, 1411, 1414, 1415, - 1417, 1427, 1442, 1443, 1464, 1480, 1444, 1454, 1452, 1488, - 1497, 1505, 1497, 1513, 1511, 1504, 1523, 1510, 1510, 1509, - 1519, 2122, 2094, 2093, 1512, 1513, 1518, 1521, 1519, 1523, - 4541, 1517, 1547, 1519, 1537, 1546, 1533, 1550, 1563, 2092, - 1550, 1558, 1565, 1556, 1570, 1554, 1565, 1570, 4541, 1559, - 1554, 1561, 1572, 1568, 1579, 2083, 2072, 2066, 1568, 1569, - - 2022, 1579, 1581, 1580, 1588, 1634, 4541, 1595, 1596, 1580, - 1607, 1599, 1606, 1616, 2011, 1653, 1630, 1632, 1621, 1624, - 1628, 1630, 1639, 1640, 1641, 1642, 1639, 1650, 1676, 1657, - 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- 2097, 2105, 2112, 2100, 2113, 2114, 1698, 2105, 2133, 1696, - 1695, 2153, 2161, 4541, 4541, 4541, 2123, 2170, 2177, 2159, - 0, 2161, 1693, 4541, 2162, 2175, 2177, 2182, 2170, 2172, - 2175, 2176, 2169, 2169, 2170, 2179, 4541, 2199, 2185, 2182, - 2188, 2223, 2203, 2210, 2236, 2209, 2220, 2220, 2236, 2237, - 2238, 2239, 2240, 2241, 2232, 2243, 2259, 1687, 1636, 2224, - 2242, 1635, 1634, 2257, 2254, 2259, 0, 2257, 2259, 2258, - 2259, 2262, 2266, 2266, 2273, 2271, 1633, 2278, 2281, 2318, - 2325, 2303, 2338, 2317, 2345, 2359, 2367, 2331, 2342, 2379, - 2349, 1627, 2352, 2354, 2362, 1618, 2380, 2377, 2366, 2384, - - 2381, 2387, 2381, 1615, 2388, 1592, 1582, 2403, 2372, 2375, - 2400, 2385, 2392, 2393, 2395, 2396, 2398, 1579, 2403, 2455, - 2420, 2421, 2430, 2422, 2426, 2450, 2424, 2434, 2431, 0, - 2439, 2445, 2462, 2467, 2455, 2464, 2452, 2455, 2474, 2507, - 2471, 2482, 2516, 2478, 2485, 2530, 2537, 2545, 2505, 2543, - 2554, 2554, 2554, 2556, 2540, 2542, 0, 2543, 2559, 2558, - 2553, 2549, 2544, 2554, 1575, 2579, 2550, 2564, 2569, 2577, - 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4148, 4155, 4121, 4169, 4144, 196, 4152, 128, 4176, 4189, - 4169, 4176, 4178, 4197, 4180, 4213, 4177, 4196, 4220, 4232, - - 4216, 4203, 4226, 4240, 4255, 4223, 4272, 4251, 4242, 4279, - 4291, 4265, 4263, 4287, 4299, 4282, 4284, 4287, 4313, 4286, - 4300, 123, 4305, 4292, 4300, 4295, 4302, 4313, 4316, 122, - 4310, 117, 4541, 4318, 4320, 4322, 4318, 4322, 4315, 4331, - 4319, 4320, 4340, 4332, 4333, 4346, 4348, 4341, 4351, 4345, - 4347, 4349, 4360, 4351, 116, 4370, 4541, 4356, 4358, 4379, - 4363, 4364, 4374, 4367, 4376, 4380, 4541, 4388, 114, 4393, - 4385, 84, 4390, 4388, 4389, 4434, 4397, 83, 4394, 4443, - 4417, 4453, 80, 79, 4460, 4467, 4425, 4475, 4468, 4476, - 4465, 77, 4486, 4493, 4541, 4517, 4519, 76, 74, 4521, - - 4523, 4525, 4527, 4529, 4531, 4533, 73, 4535, 4537 - } ; - -static yyconst flex_int16_t yy_def[1710] = - { 0, - 1695, 1, 1695, 1695, 1695, 1695, 1696, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1696, 1695, 1695, 1695, - 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1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 0, 1695, 1695, 1695, 1695, 1695, - - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695 - } ; - -static yyconst flex_uint16_t yy_nxt[4605] = - { 0, - 4, 5, 6, 5, 7, 4, 4, 4, 4, 4, - 4, 4, 4, 4, 8, 9, 10, 11, 12, 13, - 4, 14, 15, 4, 16, 4, 17, 18, 19, 20, - 21, 22, 23, 24, 4, 25, 4, 4, 4, 8, - 9, 10, 11, 12, 13, 4, 14, 15, 16, 4, - 17, 18, 19, 20, 21, 22, 23, 24, 4, 25, - 4, 4, 4, 26, 26, 26, 26, 26, 26, 29, - 37, 31, 40, 41, 42, 1305, 1115, 30, 1030, 47, - 1693, 53, 1687, 1686, 68, 38, 1682, 1676, 51, 43, - 69, 26, 26, 26, 29, 31, 40, 70, 41, 42, - - 39, 30, 32, 47, 48, 53, 33, 49, 68, 34, - 38, 35, 50, 43, 36, 69, 44, 1673, 52, 1660, - 1638, 71, 70, 45, 39, 1636, 1628, 32, 46, 48, - 33, 1598, 49, 34, 75, 35, 72, 50, 36, 54, - 58, 44, 52, 55, 59, 71, 73, 45, 62, 74, - 65, 63, 46, 56, 60, 57, 64, 76, 75, 61, - 66, 72, 67, 77, 54, 58, 78, 79, 55, 59, - 81, 73, 82, 62, 74, 65, 63, 56, 60, 57, - 64, 76, 80, 61, 66, 86, 67, 87, 77, 83, - 78, 88, 79, 91, 81, 93, 84, 82, 89, 1596, - - 85, 90, 1590, 94, 95, 96, 80, 97, 98, 1589, - 86, 87, 99, 83, 100, 88, 101, 102, 91, 93, - 84, 104, 103, 89, 85, 107, 90, 94, 95, 96, - 105, 97, 106, 98, 108, 109, 99, 110, 100, 111, - 101, 102, 112, 113, 114, 104, 103, 115, 116, 107, - 117, 119, 120, 121, 105, 122, 106, 123, 108, 109, - 124, 110, 125, 126, 111, 127, 112, 113, 114, 128, - 1587, 129, 115, 116, 117, 130, 119, 120, 121, 122, - 131, 132, 123, 133, 124, 134, 135, 125, 126, 136, - 127, 137, 138, 139, 128, 129, 1584, 148, 149, 130, - - 151, 152, 144, 153, 131, 132, 155, 157, 133, 134, - 150, 135, 140, 136, 156, 137, 138, 139, 158, 141, - 142, 145, 148, 143, 151, 159, 152, 160, 153, 161, - 162, 155, 157, 163, 164, 150, 165, 140, 156, 166, - 1579, 167, 168, 158, 141, 142, 145, 143, 170, 159, - 171, 172, 160, 173, 161, 162, 174, 163, 164, 175, - 165, 176, 177, 180, 166, 167, 181, 168, 183, 184, - 185, 186, 187, 170, 171, 188, 172, 189, 173, 190, - 174, 191, 192, 175, 193, 176, 177, 180, 194, 195, - 196, 181, 197, 183, 184, 185, 186, 187, 198, 188, - - 202, 189, 199, 190, 204, 200, 191, 192, 205, 193, - 207, 208, 194, 195, 209, 196, 210, 197, 201, 206, - 211, 213, 198, 214, 215, 202, 216, 199, 217, 204, - 200, 219, 226, 205, 221, 207, 208, 222, 209, 223, - 210, 224, 201, 206, 211, 225, 213, 214, 215, 227, - 216, 228, 217, 230, 233, 235, 219, 226, 221, 234, - 236, 222, 237, 223, 238, 224, 239, 1573, 242, 225, - 240, 248, 241, 227, 243, 228, 244, 230, 246, 233, - 235, 247, 249, 234, 250, 236, 237, 251, 252, 238, - 253, 239, 242, 254, 255, 240, 248, 241, 243, 256, - - 244, 257, 246, 258, 261, 247, 249, 259, 262, 250, - 263, 251, 260, 252, 253, 264, 265, 254, 255, 266, - 1569, 267, 268, 256, 269, 257, 270, 271, 258, 261, - 280, 259, 281, 262, 263, 282, 260, 283, 1568, 264, - 265, 284, 1557, 1544, 266, 267, 268, 288, 269, 289, - 1543, 270, 271, 272, 280, 291, 281, 273, 293, 274, - 282, 294, 283, 275, 1520, 276, 284, 277, 278, 295, - 296, 288, 297, 285, 289, 279, 298, 286, 272, 299, - 291, 300, 273, 293, 274, 294, 301, 275, 287, 276, - 302, 277, 278, 295, 296, 303, 297, 304, 285, 279, - - 298, 305, 286, 306, 299, 300, 308, 1517, 309, 310, - 301, 311, 287, 313, 314, 302, 315, 316, 318, 303, - 319, 304, 320, 321, 326, 305, 322, 306, 323, 324, - 325, 308, 309, 327, 310, 311, 328, 313, 329, 314, - 330, 315, 316, 318, 319, 331, 332, 320, 321, 326, - 322, 333, 323, 324, 325, 335, 337, 338, 327, 339, - 340, 328, 341, 329, 342, 330, 343, 344, 345, 331, - 332, 348, 1514, 346, 349, 333, 347, 351, 352, 335, - 337, 338, 354, 339, 355, 340, 341, 356, 357, 342, - 343, 358, 344, 345, 359, 363, 348, 346, 360, 349, - - 347, 351, 361, 352, 362, 364, 354, 365, 366, 355, - 367, 356, 368, 357, 369, 358, 370, 371, 372, 359, - 363, 373, 360, 378, 379, 376, 361, 380, 362, 364, - 377, 382, 365, 366, 384, 367, 385, 368, 386, 369, - 387, 370, 371, 372, 388, 389, 373, 378, 379, 376, - 390, 380, 391, 392, 377, 382, 393, 395, 398, 384, - 396, 385, 397, 386, 387, 399, 400, 401, 402, 388, - 389, 403, 1513, 404, 390, 405, 391, 406, 392, 407, - 408, 393, 395, 398, 396, 409, 397, 410, 411, 399, - 400, 401, 402, 412, 413, 414, 403, 404, 415, 405, - - 416, 406, 419, 417, 407, 408, 421, 422, 424, 409, - 418, 410, 423, 411, 425, 1509, 426, 412, 427, 413, - 414, 428, 429, 415, 430, 416, 419, 432, 417, 433, - 421, 434, 422, 424, 418, 435, 423, 436, 437, 425, - 426, 440, 441, 427, 443, 428, 429, 444, 430, 1497, - 1473, 1471, 432, 1446, 433, 434, 446, 447, 448, 449, - 435, 436, 437, 450, 451, 440, 441, 454, 443, 458, - 452, 455, 444, 445, 445, 445, 445, 445, 445, 445, - 453, 446, 447, 448, 449, 456, 457, 450, 451, 459, - 467, 454, 461, 458, 452, 462, 455, 463, 464, 465, - - 466, 468, 469, 470, 453, 471, 473, 474, 1445, 475, - 456, 457, 476, 478, 459, 467, 461, 481, 482, 462, - 483, 463, 464, 465, 466, 484, 468, 469, 470, 471, - 486, 473, 474, 475, 487, 488, 489, 476, 478, 490, - 492, 481, 491, 482, 495, 483, 496, 497, 493, 499, - 484, 498, 494, 500, 486, 501, 502, 503, 487, 488, - 504, 489, 505, 506, 490, 492, 491, 507, 509, 495, - 496, 510, 497, 493, 499, 498, 494, 512, 500, 501, - 502, 503, 513, 514, 515, 504, 505, 506, 516, 1440, - 520, 507, 509, 523, 524, 517, 510, 525, 526, 527, - - 528, 529, 512, 518, 1434, 1417, 513, 1404, 514, 515, - 1402, 530, 531, 516, 520, 532, 533, 523, 524, 534, - 517, 525, 526, 527, 528, 535, 529, 518, 521, 522, - 522, 522, 522, 522, 522, 522, 530, 531, 536, 532, - 537, 533, 538, 540, 534, 539, 541, 1389, 542, 543, - 535, 545, 1387, 546, 547, 548, 554, 555, 556, 557, - 558, 559, 536, 550, 561, 537, 551, 538, 540, 539, - 552, 541, 542, 543, 560, 1386, 545, 546, 547, 1381, - 548, 549, 549, 549, 549, 549, 549, 549, 550, 561, - 551, 563, 564, 565, 552, 566, 568, 571, 560, 562, - - 562, 562, 562, 562, 562, 562, 567, 567, 567, 567, - 567, 567, 567, 569, 570, 563, 564, 565, 572, 574, - 566, 568, 571, 575, 576, 578, 1356, 579, 577, 580, - 1355, 581, 582, 583, 586, 587, 588, 569, 570, 589, - 1353, 590, 572, 574, 591, 592, 601, 575, 594, 576, - 578, 579, 595, 577, 580, 581, 582, 583, 586, 587, - 588, 596, 597, 599, 589, 590, 600, 602, 591, 603, - 592, 601, 594, 1347, 1313, 1291, 595, 604, 604, 604, - 604, 604, 604, 604, 605, 596, 597, 599, 606, 607, - 600, 602, 608, 616, 603, 521, 522, 522, 522, 522, - - 522, 522, 522, 609, 610, 611, 612, 613, 614, 605, - 615, 617, 606, 618, 607, 619, 620, 608, 616, 622, - 623, 624, 1290, 625, 626, 627, 628, 609, 610, 611, - 612, 613, 614, 630, 615, 617, 1289, 618, 1288, 619, - 620, 1285, 1284, 633, 622, 623, 624, 625, 626, 627, - 634, 628, 635, 636, 643, 1277, 644, 1258, 630, 631, - 632, 632, 632, 632, 632, 632, 632, 633, 647, 648, - 649, 1252, 1249, 1248, 634, 1226, 635, 636, 1224, 643, - 644, 645, 646, 646, 646, 646, 646, 646, 646, 653, - 656, 658, 647, 659, 648, 649, 651, 652, 652, 652, - - 652, 652, 652, 652, 660, 1216, 661, 662, 663, 1214, - 664, 666, 667, 653, 668, 656, 658, 659, 669, 670, - 1208, 671, 672, 1206, 675, 676, 677, 685, 678, 660, - 661, 662, 679, 663, 664, 680, 666, 667, 681, 668, - 682, 683, 686, 669, 670, 671, 687, 672, 675, 684, - 676, 677, 685, 678, 688, 689, 679, 1175, 1174, 680, - 1168, 1164, 681, 692, 682, 690, 683, 686, 691, 693, - 687, 694, 1163, 695, 684, 696, 697, 699, 688, 698, - 689, 604, 604, 604, 604, 604, 604, 604, 692, 690, - 700, 701, 691, 693, 702, 703, 694, 695, 704, 696, - - 705, 697, 699, 698, 706, 706, 706, 706, 706, 706, - 706, 707, 709, 710, 700, 701, 711, 1155, 713, 702, - 703, 714, 704, 715, 1149, 705, 716, 716, 716, 716, - 716, 716, 716, 717, 718, 707, 709, 720, 710, 721, - 722, 711, 713, 723, 724, 714, 725, 715, 631, 632, - 632, 632, 632, 632, 632, 632, 726, 717, 727, 718, - 728, 1142, 720, 721, 722, 1136, 1135, 723, 724, 732, - 725, 729, 729, 729, 729, 729, 729, 729, 730, 731, - 726, 1134, 1133, 727, 1132, 728, 645, 646, 646, 646, - 646, 646, 646, 646, 732, 733, 733, 733, 733, 733, - - 733, 733, 730, 731, 734, 734, 734, 734, 734, 734, - 734, 651, 652, 652, 652, 652, 652, 652, 652, 735, - 736, 736, 736, 736, 736, 736, 736, 737, 1131, 738, - 739, 739, 739, 739, 739, 739, 739, 740, 741, 742, - 743, 1129, 747, 748, 735, 749, 750, 751, 752, 753, - 755, 756, 737, 738, 754, 754, 754, 754, 754, 754, - 754, 740, 741, 742, 757, 743, 747, 748, 758, 749, - 750, 751, 752, 753, 755, 759, 756, 760, 1123, 762, - 763, 764, 1079, 765, 766, 1069, 767, 768, 769, 757, - 770, 771, 758, 772, 773, 1068, 774, 775, 788, 759, - - 779, 780, 760, 762, 782, 763, 764, 765, 783, 766, - 767, 784, 768, 769, 770, 771, 785, 772, 1066, 773, - 774, 1057, 775, 788, 779, 780, 786, 787, 782, 789, - 1053, 790, 783, 791, 792, 784, 1040, 1026, 1025, 1022, - 785, 706, 706, 706, 706, 706, 706, 706, 794, 795, - 786, 787, 796, 797, 789, 790, 798, 791, 799, 792, - 716, 716, 716, 716, 716, 716, 716, 800, 801, 802, - 803, 804, 805, 794, 795, 806, 796, 797, 807, 811, - 798, 808, 799, 729, 729, 729, 729, 729, 729, 729, - 1021, 800, 801, 802, 803, 804, 990, 805, 982, 981, - - 806, 978, 969, 807, 811, 808, 809, 810, 810, 810, - 810, 810, 810, 810, 734, 734, 734, 734, 734, 734, - 734, 812, 813, 813, 813, 813, 813, 813, 813, 814, - 815, 816, 817, 817, 817, 817, 817, 817, 817, 818, - 820, 967, 821, 822, 823, 823, 823, 823, 823, 823, - 823, 824, 825, 814, 826, 815, 827, 828, 957, 829, - 830, 945, 831, 941, 818, 820, 821, 939, 822, 832, - 936, 833, 835, 836, 934, 824, 825, 837, 826, 933, - 925, 827, 828, 829, 841, 830, 831, 754, 754, 754, - 754, 754, 754, 754, 832, 833, 835, 839, 836, 840, - - 842, 837, 838, 838, 838, 838, 838, 838, 838, 841, - 843, 845, 846, 849, 919, 850, 851, 853, 909, 854, - 855, 839, 856, 840, 858, 842, 859, 860, 905, 861, - 862, 863, 903, 865, 843, 845, 846, 866, 849, 850, - 851, 867, 853, 854, 869, 855, 870, 856, 858, 871, - 873, 859, 860, 861, 862, 874, 863, 865, 875, 876, - 877, 878, 866, 879, 880, 867, 881, 885, 869, 882, - 883, 870, 884, 871, 873, 901, 872, 868, 864, 874, - 857, 852, 875, 876, 877, 878, 848, 879, 880, 887, - 847, 881, 885, 882, 883, 844, 884, 886, 886, 886, - - 886, 886, 886, 886, 809, 810, 810, 810, 810, 810, - 810, 810, 889, 887, 888, 888, 888, 888, 888, 888, - 888, 812, 813, 813, 813, 813, 813, 813, 813, 890, - 892, 893, 895, 896, 834, 894, 889, 891, 891, 891, - 891, 891, 891, 891, 816, 817, 817, 817, 817, 817, - 817, 817, 897, 890, 892, 893, 895, 898, 896, 894, - 823, 823, 823, 823, 823, 823, 823, 899, 900, 819, - 902, 904, 906, 907, 908, 915, 897, 910, 911, 914, - 916, 917, 898, 912, 913, 913, 913, 913, 913, 913, - 913, 899, 920, 900, 902, 904, 906, 907, 922, 908, - - 915, 910, 911, 914, 916, 917, 918, 918, 918, 918, - 918, 918, 918, 923, 793, 924, 926, 920, 927, 928, - 929, 930, 922, 931, 932, 781, 935, 937, 938, 938, - 938, 938, 938, 938, 938, 940, 943, 946, 923, 924, - 926, 944, 927, 928, 929, 930, 947, 948, 931, 932, - 935, 937, 942, 942, 942, 942, 942, 942, 942, 949, - 940, 943, 946, 950, 951, 944, 952, 953, 954, 778, - 955, 947, 948, 956, 958, 777, 959, 886, 886, 886, - 886, 886, 886, 886, 949, 960, 776, 961, 950, 951, - 962, 952, 953, 954, 955, 761, 746, 745, 956, 958, - - 959, 888, 888, 888, 888, 888, 888, 888, 963, 964, - 960, 961, 965, 966, 968, 962, 891, 891, 891, 891, - 891, 891, 891, 970, 971, 744, 972, 973, 974, 719, - 975, 976, 977, 963, 964, 979, 712, 965, 966, 968, - 980, 980, 980, 980, 980, 980, 980, 708, 970, 971, - 972, 984, 973, 974, 975, 674, 976, 977, 673, 979, - 983, 983, 983, 983, 983, 983, 983, 912, 913, 913, - 913, 913, 913, 913, 913, 984, 985, 986, 986, 986, - 986, 986, 986, 986, 987, 987, 987, 987, 987, 987, - 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1667, 1665, 1662, 1675, 1663, 1678, 1679, 1695, 1664, 1666, - 1695, 1668, 1670, 1669, 1681, 1683, 1695, 1671, 1695, 1672, - 1695, 1695, 1674, 1677, 1684, 1665, 1695, 1675, 1695, 1678, - 1679, 1680, 1680, 1680, 1680, 1680, 1680, 1680, 1681, 1683, - 1680, 1680, 1680, 1680, 1680, 1680, 1680, 1689, 1695, 1684, - 1685, 1685, 1685, 1685, 1685, 1685, 1685, 1685, 1685, 1685, - 1685, 1685, 1685, 1685, 1688, 1688, 1688, 1688, 1688, 1688, - 1688, 1689, 1688, 1688, 1688, 1688, 1688, 1688, 1688, 1690, - 1691, 1695, 1692, 1694, 1694, 1694, 1694, 1694, 1694, 1694, - - 1694, 1694, 1694, 1694, 1694, 1694, 1694, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1690, 1691, 1692, 27, 27, 27, - 921, 921, 1185, 1185, 1186, 1186, 1187, 1187, 1188, 1188, - 1189, 1189, 1190, 1190, 1217, 1217, 1388, 1388, 1423, 1423, - 3, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, 1695, - - 1695, 1695, 1695, 1695 - } ; - -static yyconst flex_int16_t yy_chk[4605] = - { 0, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, - 1, 1, 1, 5, 5, 5, 6, 6, 6, 8, - 11, 9, 12, 13, 14, 1707, 1699, 8, 1698, 16, - 1692, 19, 1684, 1683, 24, 11, 1678, 1672, 18, 14, - 25, 26, 26, 26, 8, 9, 12, 29, 13, 14, - - 11, 8, 10, 16, 17, 19, 10, 17, 24, 10, - 11, 10, 17, 14, 10, 25, 15, 1669, 18, 1655, - 1632, 30, 29, 15, 11, 1630, 1622, 10, 15, 17, - 10, 1588, 17, 10, 34, 10, 31, 17, 10, 20, - 21, 15, 18, 20, 21, 30, 32, 15, 22, 33, - 23, 22, 15, 20, 21, 20, 22, 35, 34, 21, - 23, 31, 23, 36, 20, 21, 37, 38, 20, 21, - 39, 32, 40, 22, 33, 23, 22, 20, 21, 20, - 22, 35, 38, 21, 23, 42, 23, 43, 36, 41, - 37, 44, 38, 46, 39, 48, 41, 40, 45, 1586, - - 41, 45, 1578, 49, 50, 51, 38, 52, 53, 1577, - 42, 43, 54, 41, 55, 44, 56, 57, 46, 48, - 41, 58, 57, 45, 41, 60, 45, 49, 50, 51, - 59, 52, 59, 53, 61, 62, 54, 63, 55, 64, - 56, 57, 65, 66, 66, 58, 57, 67, 68, 60, - 69, 71, 72, 73, 59, 74, 59, 75, 61, 62, - 76, 63, 77, 78, 64, 79, 65, 66, 66, 80, - 1575, 81, 67, 68, 69, 82, 71, 72, 73, 74, - 83, 84, 75, 85, 76, 86, 87, 77, 78, 88, - 79, 89, 90, 91, 80, 81, 1571, 96, 97, 82, - - 98, 99, 93, 100, 83, 84, 102, 104, 85, 86, - 97, 87, 92, 88, 103, 89, 90, 91, 105, 92, - 92, 93, 96, 92, 98, 106, 99, 107, 100, 108, - 109, 102, 104, 110, 111, 97, 112, 92, 103, 113, - 1566, 114, 115, 105, 92, 92, 93, 92, 117, 106, - 118, 119, 107, 120, 108, 109, 121, 110, 111, 122, - 112, 123, 124, 127, 113, 114, 128, 115, 130, 131, - 132, 133, 134, 117, 118, 135, 119, 136, 120, 137, - 121, 138, 139, 122, 140, 123, 124, 127, 141, 142, - 143, 128, 144, 130, 131, 132, 133, 134, 145, 135, - - 147, 136, 146, 137, 149, 146, 138, 139, 149, 140, - 150, 151, 141, 142, 152, 143, 153, 144, 146, 149, - 154, 156, 145, 157, 158, 147, 159, 146, 160, 149, - 146, 162, 169, 149, 164, 150, 151, 165, 152, 166, - 153, 167, 146, 149, 154, 168, 156, 157, 158, 170, - 159, 171, 160, 173, 176, 178, 162, 169, 164, 177, - 179, 165, 180, 166, 181, 167, 182, 1558, 183, 168, - 182, 189, 182, 170, 184, 171, 185, 173, 187, 176, - 178, 188, 190, 177, 191, 179, 180, 192, 193, 181, - 194, 182, 183, 195, 196, 182, 189, 182, 184, 197, - - 185, 198, 187, 199, 201, 188, 190, 200, 202, 191, - 203, 192, 200, 193, 194, 204, 205, 195, 196, 206, - 1554, 207, 208, 197, 209, 198, 210, 211, 199, 201, - 213, 200, 214, 202, 203, 215, 200, 216, 1553, 204, - 205, 217, 1540, 1526, 206, 207, 208, 219, 209, 220, - 1525, 210, 211, 212, 213, 222, 214, 212, 224, 212, - 215, 225, 216, 212, 1495, 212, 217, 212, 212, 226, - 227, 219, 228, 218, 220, 212, 229, 218, 212, 230, - 222, 231, 212, 224, 212, 225, 232, 212, 218, 212, - 233, 212, 212, 226, 227, 234, 228, 235, 218, 212, - - 229, 236, 218, 237, 230, 231, 239, 1491, 240, 241, - 232, 242, 218, 244, 245, 233, 246, 247, 249, 234, - 250, 235, 251, 253, 259, 236, 254, 237, 256, 257, - 258, 239, 240, 260, 241, 242, 261, 244, 262, 245, - 263, 246, 247, 249, 250, 264, 265, 251, 253, 259, - 254, 266, 256, 257, 258, 268, 270, 271, 260, 272, - 273, 261, 274, 262, 275, 263, 276, 277, 278, 264, - 265, 279, 1488, 278, 280, 266, 278, 282, 283, 268, - 270, 271, 285, 272, 286, 273, 274, 287, 288, 275, - 276, 289, 277, 278, 290, 294, 279, 278, 291, 280, - - 278, 282, 292, 283, 293, 295, 285, 296, 297, 286, - 298, 287, 299, 288, 300, 289, 301, 302, 303, 290, - 294, 304, 291, 308, 309, 307, 292, 310, 293, 295, - 307, 312, 296, 297, 314, 298, 315, 299, 316, 300, - 317, 301, 302, 303, 318, 319, 304, 308, 309, 307, - 320, 310, 321, 322, 307, 312, 323, 325, 328, 314, - 326, 315, 327, 316, 317, 329, 330, 331, 332, 318, - 319, 333, 1487, 334, 320, 335, 321, 336, 322, 337, - 338, 323, 325, 328, 326, 339, 327, 340, 341, 329, - 330, 331, 332, 342, 343, 344, 333, 334, 345, 335, - - 346, 336, 348, 347, 337, 338, 350, 351, 353, 339, - 347, 340, 352, 341, 354, 1483, 355, 342, 356, 343, - 344, 357, 358, 345, 359, 346, 348, 361, 347, 362, - 350, 363, 351, 353, 347, 364, 352, 365, 366, 354, - 355, 369, 370, 356, 372, 357, 358, 373, 359, 1472, - 1444, 1442, 361, 1413, 362, 363, 375, 376, 377, 378, - 364, 365, 366, 379, 380, 369, 370, 382, 372, 386, - 381, 383, 373, 374, 374, 374, 374, 374, 374, 374, - 381, 375, 376, 377, 378, 384, 385, 379, 380, 387, - 395, 382, 389, 386, 381, 390, 383, 391, 392, 393, - - 394, 396, 397, 398, 381, 399, 401, 402, 1412, 403, - 384, 385, 404, 406, 387, 395, 389, 409, 410, 390, - 411, 391, 392, 393, 394, 412, 396, 397, 398, 399, - 414, 401, 402, 403, 415, 416, 417, 404, 406, 418, - 420, 409, 419, 410, 421, 411, 422, 423, 420, 425, - 412, 424, 420, 426, 414, 427, 428, 429, 415, 416, - 430, 417, 431, 432, 418, 420, 419, 433, 435, 421, - 422, 436, 423, 420, 425, 424, 420, 438, 426, 427, - 428, 429, 439, 440, 441, 430, 431, 432, 442, 1406, - 444, 433, 435, 446, 447, 442, 436, 448, 449, 450, - - 451, 452, 438, 442, 1399, 1382, 439, 1363, 440, 441, - 1360, 453, 454, 442, 444, 455, 456, 446, 447, 457, - 442, 448, 449, 450, 451, 458, 452, 442, 445, 445, - 445, 445, 445, 445, 445, 445, 453, 454, 459, 455, - 460, 456, 461, 463, 457, 462, 464, 1348, 465, 466, - 458, 468, 1346, 469, 470, 471, 477, 477, 477, 477, - 477, 477, 459, 473, 479, 460, 474, 461, 463, 462, - 475, 464, 465, 466, 478, 1345, 468, 469, 470, 1338, - 471, 472, 472, 472, 472, 472, 472, 472, 473, 479, - 474, 481, 482, 483, 475, 484, 486, 489, 478, 480, - - 480, 480, 480, 480, 480, 480, 485, 485, 485, 485, - 485, 485, 485, 487, 488, 481, 482, 483, 490, 492, - 484, 486, 489, 493, 494, 495, 1317, 496, 494, 497, - 1316, 498, 499, 500, 503, 504, 505, 487, 488, 506, - 1314, 507, 490, 492, 508, 509, 518, 493, 511, 494, - 495, 496, 512, 494, 497, 498, 499, 500, 503, 504, - 505, 513, 514, 516, 506, 507, 517, 519, 508, 520, - 509, 518, 511, 1306, 1266, 1247, 512, 521, 521, 521, - 521, 521, 521, 521, 523, 513, 514, 516, 524, 525, - 517, 519, 526, 534, 520, 522, 522, 522, 522, 522, - - 522, 522, 522, 527, 528, 529, 530, 531, 532, 523, - 533, 535, 524, 536, 525, 537, 538, 526, 534, 540, - 541, 542, 1246, 543, 544, 545, 546, 527, 528, 529, - 530, 531, 532, 548, 533, 535, 1245, 536, 1244, 537, - 538, 1240, 1239, 550, 540, 541, 542, 543, 544, 545, - 551, 546, 552, 553, 560, 1232, 561, 1211, 548, 549, - 549, 549, 549, 549, 549, 549, 549, 550, 563, 564, - 565, 1205, 1201, 1200, 551, 1172, 552, 553, 1170, 560, - 561, 562, 562, 562, 562, 562, 562, 562, 562, 568, - 571, 573, 563, 574, 564, 565, 567, 567, 567, 567, - - 567, 567, 567, 567, 575, 1162, 576, 577, 578, 1160, - 579, 581, 582, 568, 583, 571, 573, 574, 584, 585, - 1154, 586, 588, 1152, 591, 592, 593, 599, 593, 575, - 576, 577, 594, 578, 579, 595, 581, 582, 596, 583, - 597, 598, 600, 584, 585, 586, 601, 588, 591, 598, - 592, 593, 599, 593, 602, 603, 594, 1122, 1121, 595, - 1113, 1109, 596, 607, 597, 605, 598, 600, 606, 608, - 601, 609, 1108, 610, 598, 611, 612, 614, 602, 613, - 603, 604, 604, 604, 604, 604, 604, 604, 607, 605, - 615, 616, 606, 608, 617, 618, 609, 610, 619, 611, - - 620, 612, 614, 613, 621, 621, 621, 621, 621, 621, - 621, 622, 624, 625, 615, 616, 626, 1098, 628, 617, - 618, 629, 619, 630, 1092, 620, 631, 631, 631, 631, - 631, 631, 631, 633, 634, 622, 624, 636, 625, 637, - 638, 626, 628, 639, 640, 629, 641, 630, 632, 632, - 632, 632, 632, 632, 632, 632, 642, 633, 643, 634, - 644, 1085, 636, 637, 638, 1078, 1077, 639, 640, 649, - 641, 645, 645, 645, 645, 645, 645, 645, 647, 648, - 642, 1076, 1075, 643, 1074, 644, 646, 646, 646, 646, - 646, 646, 646, 646, 649, 650, 650, 650, 650, 650, - - 650, 650, 647, 648, 651, 651, 651, 651, 651, 651, - 651, 652, 652, 652, 652, 652, 652, 652, 652, 653, - 654, 654, 654, 654, 654, 654, 654, 655, 1073, 656, - 657, 657, 657, 657, 657, 657, 657, 658, 659, 660, - 661, 1071, 665, 666, 653, 667, 668, 669, 670, 672, - 674, 675, 655, 656, 673, 673, 673, 673, 673, 673, - 673, 658, 659, 660, 676, 661, 665, 666, 677, 667, - 668, 669, 670, 672, 674, 678, 675, 679, 1065, 681, - 682, 683, 1018, 684, 685, 1007, 686, 687, 688, 676, - 690, 691, 677, 692, 693, 1006, 694, 695, 710, 678, - - 699, 700, 679, 681, 702, 682, 683, 684, 703, 685, - 686, 704, 687, 688, 690, 691, 705, 692, 1004, 693, - 694, 996, 695, 710, 699, 700, 708, 709, 702, 711, - 992, 712, 703, 713, 714, 704, 977, 963, 962, 959, - 705, 706, 706, 706, 706, 706, 706, 706, 717, 718, - 708, 709, 719, 720, 711, 712, 721, 713, 722, 714, - 716, 716, 716, 716, 716, 716, 716, 723, 724, 725, - 726, 727, 728, 717, 718, 730, 719, 720, 731, 735, - 721, 732, 722, 729, 729, 729, 729, 729, 729, 729, - 958, 723, 724, 725, 726, 727, 923, 728, 911, 910, - - 730, 907, 898, 731, 735, 732, 733, 733, 733, 733, - 733, 733, 733, 733, 734, 734, 734, 734, 734, 734, - 734, 736, 736, 736, 736, 736, 736, 736, 736, 737, - 738, 739, 739, 739, 739, 739, 739, 739, 739, 740, - 742, 896, 743, 744, 745, 745, 745, 745, 745, 745, - 745, 746, 747, 737, 748, 738, 749, 750, 883, 751, - 752, 871, 753, 867, 740, 742, 743, 865, 744, 755, - 862, 756, 758, 759, 860, 746, 747, 760, 748, 859, - 851, 749, 750, 751, 764, 752, 753, 754, 754, 754, - 754, 754, 754, 754, 755, 756, 758, 762, 759, 763, - - 765, 760, 761, 761, 761, 761, 761, 761, 761, 764, - 766, 768, 769, 772, 845, 773, 774, 776, 835, 777, - 778, 762, 779, 763, 781, 765, 782, 783, 831, 784, - 785, 786, 829, 788, 766, 768, 769, 789, 772, 773, - 774, 790, 776, 777, 792, 778, 793, 779, 781, 794, - 796, 782, 783, 784, 785, 797, 786, 788, 798, 799, - 800, 801, 789, 802, 803, 790, 804, 808, 792, 805, - 806, 793, 807, 794, 796, 827, 795, 791, 787, 797, - 780, 775, 798, 799, 800, 801, 771, 802, 803, 811, - 770, 804, 808, 805, 806, 767, 807, 809, 809, 809, - - 809, 809, 809, 809, 810, 810, 810, 810, 810, 810, - 810, 810, 814, 811, 812, 812, 812, 812, 812, 812, - 812, 813, 813, 813, 813, 813, 813, 813, 813, 815, - 818, 819, 820, 821, 757, 819, 814, 816, 816, 816, - 816, 816, 816, 816, 817, 817, 817, 817, 817, 817, - 817, 817, 822, 815, 818, 819, 820, 824, 821, 819, - 823, 823, 823, 823, 823, 823, 823, 825, 826, 741, - 828, 830, 832, 833, 834, 840, 822, 836, 837, 839, - 842, 843, 824, 838, 838, 838, 838, 838, 838, 838, - 838, 825, 846, 826, 828, 830, 832, 833, 848, 834, - - 840, 836, 837, 839, 842, 843, 844, 844, 844, 844, - 844, 844, 844, 849, 715, 850, 852, 846, 853, 854, - 855, 856, 848, 857, 858, 701, 861, 863, 864, 864, - 864, 864, 864, 864, 864, 866, 869, 872, 849, 850, - 852, 870, 853, 854, 855, 856, 873, 874, 857, 858, - 861, 863, 868, 868, 868, 868, 868, 868, 868, 875, - 866, 869, 872, 876, 877, 870, 878, 879, 880, 698, - 881, 873, 874, 882, 884, 697, 885, 886, 886, 886, - 886, 886, 886, 886, 875, 887, 696, 889, 876, 877, - 890, 878, 879, 880, 881, 680, 664, 663, 882, 884, - - 885, 888, 888, 888, 888, 888, 888, 888, 892, 893, - 887, 889, 894, 895, 897, 890, 891, 891, 891, 891, - 891, 891, 891, 899, 900, 662, 901, 902, 903, 635, - 904, 905, 906, 892, 893, 908, 627, 894, 895, 897, - 909, 909, 909, 909, 909, 909, 909, 623, 899, 900, - 901, 917, 902, 903, 904, 590, 905, 906, 589, 908, - 912, 912, 912, 912, 912, 912, 912, 913, 913, 913, - 913, 913, 913, 913, 913, 917, 918, 918, 918, 918, - 918, 918, 918, 918, 919, 919, 919, 919, 919, 919, - 919, 920, 922, 925, 926, 927, 928, 580, 929, 930, - - 931, 932, 933, 934, 935, 936, 938, 938, 938, 938, - 938, 938, 938, 939, 940, 920, 922, 925, 941, 926, - 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, - 942, 942, 942, 942, 942, 942, 942, 939, 940, 943, - 944, 946, 941, 945, 945, 945, 945, 945, 945, 945, - 947, 948, 949, 950, 951, 952, 953, 954, 572, 955, - 956, 570, 960, 943, 944, 946, 957, 957, 957, 957, - 957, 957, 957, 961, 947, 948, 964, 949, 950, 951, - 952, 953, 954, 955, 965, 956, 960, 966, 968, 969, - 970, 971, 972, 973, 974, 975, 978, 961, 976, 979, - - 569, 964, 566, 559, 558, 557, 556, 555, 965, 554, - 547, 966, 968, 969, 970, 971, 972, 973, 974, 982, - 975, 978, 976, 539, 979, 980, 980, 980, 980, 980, - 980, 980, 981, 981, 981, 981, 981, 981, 981, 984, - 515, 510, 502, 501, 982, 983, 983, 983, 983, 983, - 983, 983, 985, 985, 985, 985, 985, 985, 985, 988, - 989, 491, 476, 467, 984, 986, 986, 986, 986, 986, - 986, 986, 986, 987, 987, 987, 987, 987, 987, 987, - 987, 991, 993, 988, 994, 989, 990, 990, 990, 990, - 990, 990, 990, 995, 997, 998, 443, 999, 1000, 1001, - - 1003, 1002, 1005, 437, 1009, 991, 993, 1010, 994, 1002, - 1008, 1008, 1008, 1008, 1008, 1008, 1008, 995, 1011, 997, - 998, 999, 1012, 1000, 1001, 1003, 1002, 1005, 1009, 1013, - 1014, 1010, 1015, 1016, 1002, 1017, 1019, 434, 413, 408, - 407, 405, 400, 1011, 388, 1021, 1012, 1022, 1023, 371, - 1024, 1025, 1028, 1013, 1014, 1027, 1015, 1016, 1029, 1017, - 1019, 1020, 1020, 1020, 1020, 1020, 1020, 1020, 1020, 1021, - 1031, 1022, 1026, 1023, 1024, 1025, 1026, 1028, 1032, 1027, - 1033, 1034, 1029, 1035, 1036, 368, 1037, 1038, 1039, 367, - 360, 349, 324, 313, 1031, 311, 1042, 1026, 1041, 306, - - 1026, 305, 1032, 284, 281, 1033, 1034, 1035, 1044, 1036, - 1037, 1038, 1045, 1039, 1040, 1040, 1040, 1040, 1040, 1040, - 1040, 1042, 1041, 1043, 1043, 1043, 1043, 1043, 1043, 1043, - 269, 267, 1044, 248, 243, 1049, 1045, 1046, 1046, 1046, - 1046, 1046, 1046, 1046, 1047, 1047, 1047, 1047, 1047, 1047, - 1047, 1048, 1048, 1048, 1048, 1048, 1048, 1048, 1048, 1049, - 1050, 1051, 1051, 1051, 1051, 1051, 1051, 1051, 1052, 1053, - 1054, 238, 1055, 1056, 1058, 1059, 1060, 223, 1061, 1062, - 1063, 1064, 1067, 1068, 221, 1050, 1066, 1066, 1066, 1066, - 1066, 1066, 1066, 1052, 1053, 1054, 1055, 1056, 1058, 1069, - - 1059, 1060, 1061, 1062, 1063, 1064, 1067, 1070, 1068, 1072, - 1079, 1080, 1081, 1081, 1081, 1081, 1081, 1081, 1081, 186, - 1083, 175, 1084, 1069, 1086, 1087, 174, 1088, 1089, 1090, - 1093, 1070, 1091, 1072, 1094, 1079, 1080, 1082, 1082, 1082, - 1082, 1082, 1082, 1082, 1082, 1083, 1084, 1095, 1086, 1096, - 1087, 1088, 1089, 1097, 1090, 1093, 1091, 1099, 1094, 1100, - 1101, 1102, 1102, 1102, 1102, 1102, 1102, 1102, 1103, 172, - 1104, 1105, 1095, 1096, 1106, 1110, 1111, 1125, 1097, 1112, - 1114, 1116, 1099, 1117, 1100, 1101, 1107, 1107, 1107, 1107, - 1107, 1107, 1107, 1103, 1104, 1105, 1118, 1119, 1106, 1110, - - 1123, 1111, 1125, 1112, 1114, 1116, 1126, 1117, 1124, 1124, - 1124, 1124, 1124, 1124, 1124, 1124, 1127, 1128, 1129, 1143, - 1118, 1119, 1130, 1137, 1123, 1138, 1140, 1141, 163, 161, - 155, 1126, 1139, 1139, 1139, 1139, 1139, 1139, 1139, 1144, - 1145, 1127, 1128, 1129, 1143, 1146, 1130, 1137, 1147, 1138, - 1140, 1141, 1142, 1142, 1142, 1142, 1142, 1142, 1142, 1142, - 1148, 1150, 1151, 1144, 1153, 1145, 1155, 1156, 1157, 1146, - 1158, 1159, 1147, 1149, 1149, 1149, 1149, 1149, 1149, 1149, - 1161, 1165, 1166, 1167, 1142, 1148, 1150, 1151, 1168, 1153, - 1155, 1156, 1157, 1169, 1158, 1171, 1159, 1164, 1164, 1164, - - 1164, 1164, 1164, 1164, 1161, 1165, 1166, 1173, 1167, 1174, - 1175, 148, 1176, 1168, 129, 126, 125, 1169, 116, 101, - 1171, 1177, 1177, 1177, 1177, 1177, 1177, 1177, 1179, 1180, - 95, 1181, 1173, 1182, 1174, 1175, 1176, 1178, 1178, 1178, - 1178, 1178, 1178, 1178, 1178, 1183, 1184, 1191, 94, 1192, - 1193, 1194, 1179, 1196, 1180, 1181, 1197, 1198, 1182, 1195, - 1195, 1195, 1195, 1195, 1195, 1195, 1195, 1199, 1202, 1183, - 1204, 1184, 1191, 1192, 1193, 1206, 1194, 1196, 1207, 70, - 1197, 1198, 1203, 1203, 1203, 1203, 1203, 1203, 1203, 1209, - 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-static yy_state_type yy_last_accepting_state; -static char *yy_last_accepting_cpos; - -extern int yy_flex_debug; -int yy_flex_debug = 0; - -/* The intent behind this definition is that it'll catch - * any uses of REJECT which flex missed. - */ -#define REJECT reject_used_but_not_detected -#define yymore() yymore_used_but_not_detected -#define YY_MORE_ADJ 0 -#define YY_RESTORE_YY_MORE_OFFSET -char *yytext; -#line 1 "lex_conf.l" -#line 2 "lex_conf.l" -#include -#include -#include - -#include "configManagement.h" -#include "attributesInfo.h" -#include "random.h" -#include "messageBuffer.h" - -char *charFilter(char *string); -extern configManagement cm; -extern attributesInfo ai; -extern Random rnd; -extern messageBuffer mb; - - -#line 2046 "lex.yy.cpp" - -#define INITIAL 0 - -#ifndef YY_NO_UNISTD_H -/* Special case for "unistd.h", since it is non-ANSI. We include it way - * down here because we want the user's section 1 to have been scanned first. - * The user has a chance to override it with an option. - */ -#include -#endif - -#ifndef YY_EXTRA_TYPE -#define YY_EXTRA_TYPE void * -#endif - -static int yy_init_globals (void ); - -/* Accessor methods to globals. - These are made visible to non-reentrant scanners for convenience. */ - -int yylex_destroy (void ); - -int yyget_debug (void ); - -void yyset_debug (int debug_flag ); - -YY_EXTRA_TYPE yyget_extra (void ); - -void yyset_extra (YY_EXTRA_TYPE user_defined ); - -FILE *yyget_in (void ); - -void yyset_in (FILE * _in_str ); - -FILE *yyget_out (void ); - -void yyset_out (FILE * _out_str ); - - int yyget_leng (void ); - -char *yyget_text (void ); - -int yyget_lineno (void ); - -void yyset_lineno (int _line_number ); - -/* Macros after this point can all be overridden by user definitions in - * section 1. - */ - -#ifndef YY_SKIP_YYWRAP -#ifdef __cplusplus -extern "C" int yywrap (void ); -#else -extern int yywrap (void ); -#endif -#endif - -#ifndef YY_NO_UNPUT - - static void yyunput (int c,char *buf_ptr ); - -#endif - -#ifndef yytext_ptr -static void yy_flex_strncpy (char *,yyconst char *,int ); -#endif - -#ifdef YY_NEED_STRLEN -static int yy_flex_strlen (yyconst char * ); -#endif - -#ifndef YY_NO_INPUT - -#ifdef __cplusplus -static int yyinput (void ); -#else -static int input (void ); -#endif - -#endif - -/* Amount of stuff to slurp up with each read. */ -#ifndef YY_READ_BUF_SIZE -#ifdef __ia64__ -/* On IA-64, the buffer size is 16k, not 8k */ -#define YY_READ_BUF_SIZE 16384 -#else -#define YY_READ_BUF_SIZE 8192 -#endif /* __ia64__ */ -#endif - -/* Copy whatever the last rule matched to the standard output. */ -#ifndef ECHO -/* This used to be an fputs(), but since the string might contain NUL's, - * we now use fwrite(). - */ -#define ECHO do { if (fwrite( yytext, (size_t) yyleng, 1, yyout )) {} } while (0) -#endif - -/* Gets input and stuffs it into "buf". number of characters read, or YY_NULL, - * is returned in "result". - */ -#ifndef YY_INPUT -#define YY_INPUT(buf,result,max_size) \ - if ( YY_CURRENT_BUFFER_LVALUE->yy_is_interactive ) \ - { \ - int c = '*'; \ - int n; \ - for ( n = 0; n < max_size && \ - (c = getc( yyin )) != EOF && c != '\n'; ++n ) \ - buf[n] = (char) c; \ - if ( c == '\n' ) \ - buf[n++] = (char) c; \ - if ( c == EOF && ferror( yyin ) ) \ - YY_FATAL_ERROR( "input in flex scanner failed" ); \ - result = n; \ - } \ - else \ - { \ - errno=0; \ - while ( (result = (int) fread(buf, 1, (yy_size_t) max_size, yyin)) == 0 && ferror(yyin)) \ - { \ - if( errno != EINTR) \ - { \ - YY_FATAL_ERROR( "input in flex scanner failed" ); \ - break; \ - } \ - errno=0; \ - clearerr(yyin); \ - } \ - }\ -\ - -#endif - -/* No semi-colon after return; correct usage is to write "yyterminate();" - - * we don't want an extra ';' after the "return" because that will cause - * some compilers to complain about unreachable statements. - */ -#ifndef yyterminate -#define yyterminate() return YY_NULL -#endif - -/* Number of entries by which start-condition stack grows. */ -#ifndef YY_START_STACK_INCR -#define YY_START_STACK_INCR 25 -#endif - -/* Report a fatal error. */ -#ifndef YY_FATAL_ERROR -#define YY_FATAL_ERROR(msg) yy_fatal_error( msg ) -#endif - -/* end tables serialization structures and prototypes */ - -/* Default declaration of generated scanner - a define so the user can - * easily add parameters. - */ -#ifndef YY_DECL -#define YY_DECL_IS_OURS 1 - -extern int yylex (void); - -#define YY_DECL int yylex (void) -#endif /* !YY_DECL */ - -/* Code executed at the beginning of each rule, after yytext and yyleng - * have been set up. - */ -#ifndef YY_USER_ACTION -#define YY_USER_ACTION -#endif - -/* Code executed at the end of each rule. */ -#ifndef YY_BREAK -#define YY_BREAK /*LINTED*/break; -#endif - -#define YY_RULE_SETUP \ - YY_USER_ACTION - -/** The main scanner function which does all the work. - */ -YY_DECL -{ - yy_state_type yy_current_state; - char *yy_cp, *yy_bp; - int yy_act; - - if ( !(yy_init) ) - { - (yy_init) = 1; - -#ifdef YY_USER_INIT - YY_USER_INIT; -#endif - - if ( ! (yy_start) ) - (yy_start) = 1; /* first start state */ - - if ( ! yyin ) - yyin = stdin; - - if ( ! yyout ) - yyout = stdout; - - if ( ! YY_CURRENT_BUFFER ) { - yyensure_buffer_stack (); - YY_CURRENT_BUFFER_LVALUE = - yy_create_buffer(yyin,YY_BUF_SIZE ); - } - - yy_load_buffer_state( ); - } - - { -#line 23 "lex_conf.l" - - -#line 2267 "lex.yy.cpp" - - while ( /*CONSTCOND*/1 ) /* loops until end-of-file is reached */ - { - yy_cp = (yy_c_buf_p); - - /* Support of yytext. */ - *yy_cp = (yy_hold_char); - - /* yy_bp points to the position in yy_ch_buf of the start of - * the current run. - */ - yy_bp = yy_cp; - - yy_current_state = (yy_start); -yy_match: - do - { - YY_CHAR yy_c = yy_ec[YY_SC_TO_UI(*yy_cp)] ; - if ( yy_accept[yy_current_state] ) - { - (yy_last_accepting_state) = yy_current_state; - (yy_last_accepting_cpos) = yy_cp; - } - while ( yy_chk[yy_base[yy_current_state] + yy_c] != yy_current_state ) - { - yy_current_state = (int) yy_def[yy_current_state]; - if ( yy_current_state >= 1696 ) - yy_c = yy_meta[(unsigned int) yy_c]; - } - yy_current_state = yy_nxt[yy_base[yy_current_state] + (flex_int16_t) yy_c]; - ++yy_cp; - } - while ( yy_base[yy_current_state] != 4541 ); - -yy_find_action: - yy_act = yy_accept[yy_current_state]; - if ( yy_act == 0 ) - { /* have to back up */ - yy_cp = (yy_last_accepting_cpos); - yy_current_state = (yy_last_accepting_state); - yy_act = yy_accept[yy_current_state]; - } - - YY_DO_BEFORE_ACTION; - -do_action: /* This label is used only to access EOF actions. */ - - switch ( yy_act ) - { /* beginning of action switch */ - case 0: /* must back up */ - /* undo the effects of YY_DO_BEFORE_ACTION */ - *yy_cp = (yy_hold_char); - yy_cp = (yy_last_accepting_cpos); - yy_current_state = (yy_last_accepting_state); - goto yy_find_action; - -case 1: -YY_RULE_SETUP -#line 25 "lex_conf.l" -{ -/* int atributs=atoi(charFilter(yytext)); - ai.setNumAttributes(atributs); - mb.printf("Number of attributes in domain:%d\n" - ,atoi(charFilter(yytext)));*/ -} - YY_BREAK -case 2: -YY_RULE_SETUP -#line 32 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_CROSSOVER); - mb.printf("Crossover probability: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 3: -YY_RULE_SETUP -#line 37 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),POP_SIZE); - mb.printf("Popsize: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 4: -YY_RULE_SETUP -#line 42 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),ITERATIONS); - mb.printf("GA Iterations:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 5: -YY_RULE_SETUP -#line 47 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MIN_CLASSIFIERS); - mb.printf("Minumum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 6: -YY_RULE_SETUP -#line 53 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MAX_CLASSIFIERS); - mb.printf("Maximum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 7: -YY_RULE_SETUP -#line 60 "lex_conf.l" -{ - cm.setParameter(1,IGNORE_MISSING_VALUES); - mb.printf("Ignore missing values\n"); -} - YY_BREAK -case 8: -YY_RULE_SETUP -#line 65 "lex_conf.l" -{ - cm.setParameter(1,DUMP_EVOLUTION_STATS); - mb.printf("Dump learning process statistics at each iteration\n"); -} - YY_BREAK -case 9: -YY_RULE_SETUP -#line 70 "lex_conf.l" -{ - if(!strcasecmp(yytext+20,"TOURNAMENT")) { - cm.setParameter(TOURNAMENT_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection Algorithm\n"); - } else if(!strcasecmp(yytext+20,"TOURNAMENTWOR")) { - cm.setParameter(TOURNAMENT_WOR_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection without replacement Algorithm\n"); - } else if(!strcasecmp(yytext+20,"PARETO")) { - cm.setParameter(PARETO_SELECTION,SELECTION_ALGORITHM); - mb.printf("Pareto Selection Algorithm\n"); - } else { - mb.printf("Unknown selection algorithm:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 10: -YY_RULE_SETUP -#line 86 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),TOURNAMENT_SIZE); - mb.printf("Tournament size:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 11: -YY_RULE_SETUP -#line 91 "lex_conf.l" -{ - cm.setParameter(1,SHOW_FRONTS); - mb.printf("Show Pareto Fronts\n"); -} - YY_BREAK -case 12: -YY_RULE_SETUP -#line 96 "lex_conf.l" -{ - if(!strcasecmp(&yytext[19],"1PX")) { - cm.setParameter(CROSS_1P,CROSSOVER_OPERATOR); - mb.printf("One Point Crossover\n"); - } else if(!strcasecmp(&yytext[19],"2PX")) { - cm.setParameter(CROSS_2P,CROSSOVER_OPERATOR); - mb.printf("Two Points Crossover\n"); - } else if(!strcasecmp(&yytext[19],"INFORMED")) { - cm.setParameter(CROSS_INFORMED,CROSSOVER_OPERATOR); - mb.printf("Informed Crossover\n"); - } else { - mb.printf("Unknown crossover operator:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 13: -YY_RULE_SETUP -#line 112 "lex_conf.l" -{ - if(!strcasecmp(yytext+17,"ACCURACY")) { - cm.setParameter(MAXIMIZE,MAX_MIN); - cm.setParameter(ACCURACY,FITNESS_FUNCTION); - mb.printf("Squared accuracy fitness function\n"); - } else if(!strcasecmp(yytext+17,"MDL")) { - cm.setParameter(MINIMIZE,MAX_MIN); - cm.setParameter(MDL,FITNESS_FUNCTION); - mb.printf("MDL fitness function\n"); - } else { - mb.printf("Unknown fitness function:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 14: -YY_RULE_SETUP -#line 127 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT); - mb.printf("MDL fixed weight %f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 15: -YY_RULE_SETUP -#line 133 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT_RELAX_FACTOR); - mb.printf("MDL Weight relax factor %f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 16: -YY_RULE_SETUP -#line 138 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),MDL_INITIAL_TL_RATIO); - mb.printf("Initial theory length proportion in MDL formula: %f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 17: -YY_RULE_SETUP -#line 143 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),MDL_ITERATION); - mb.printf("Iteracio activacio MDL %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 18: -YY_RULE_SETUP -#line 148 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PRUNING_ITERATION); - mb.printf("Pruning operator activated at iteration:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 19: -YY_RULE_SETUP -#line 153 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PRUNING_MIN_CLASSIFIERS); - mb.printf("Pruning stops if #classifiers is less that %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 20: -YY_RULE_SETUP -#line 158 "lex_conf.l" -{ - cm.setParameter(1,PRUNING_AUTO_THRESHOLD); - mb.printf("The number of min classifiers is automatically set\n"); -} - YY_BREAK -case 21: -YY_RULE_SETUP -#line 162 "lex_conf.l" -{ - cm.setParameter(1,PRUNING_AUTO_THRESHOLD2); - mb.printf("The number of min classifiers is automatically set2\n"); -} - YY_BREAK -case 22: -YY_RULE_SETUP -#line 167 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),PRUNING_AUTO_OFFSET); - mb.printf("The min classifiers offset %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 23: -YY_RULE_SETUP -#line 172 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_INDIVIDUAL_MUTATION); - mb.printf("Individual-wise mutation probability:%f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 24: -YY_RULE_SETUP -#line 177 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,HIERARCHICAL_SELECTION_ITERATION); - mb.printf("Hierarchical selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 25: -YY_RULE_SETUP -#line 183 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),HIERARCHICAL_SELECTION_THRESHOLD); - mb.printf("Hierarchical selection threshold :%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 26: -YY_RULE_SETUP -#line 189 "lex_conf.l" -{ - cm.setParameter(1,HIERARCHICAL_SELECTION_USES_MDL); - mb.printf("Hierarchical selection uses MDL Theory Length\n"); -} - YY_BREAK -case 27: -YY_RULE_SETUP -#line 194 "lex_conf.l" -{ - cm.setParameter(1,CHECK_WINDOWING); - mb.printf("Performance tests of windowing enabled"); -} - YY_BREAK -case 28: -YY_RULE_SETUP -#line 199 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_ILAS); - mb.printf("ILAS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 29: -YY_RULE_SETUP -#line 204 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_GWS); - mb.printf("GWS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 30: -YY_RULE_SETUP -#line 210 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_ONE); - mb.printf("Probability of value ONE for GABIL and ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 31: -YY_RULE_SETUP -#line 216 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_SHARP); - mb.printf("Probability of value Sharp for LCS/Instances KR:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 32: -YY_RULE_SETUP -#line 222 "lex_conf.l" -{ - cm.setParameter(1,KR_ADI); - mb.printf("Using Adaptive Discretization Intervals Knowledge Representation\n"); -} - YY_BREAK -case 33: -YY_RULE_SETUP -#line 227 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_MERGE); - mb.printf("Probability of merge operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 34: -YY_RULE_SETUP -#line 233 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_SPLIT); - mb.printf("Probability of split operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 35: -YY_RULE_SETUP -#line 239 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE); - mb.printf("Probability of reinitialize operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 36: -YY_RULE_SETUP -#line 245 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE_AT_END); - mb.printf("Probability of reinitialize operator at final iteration in ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 37: -YY_RULE_SETUP -#line 251 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),MAX_INTERVALS); - mb.printf("Maximum number of intervals per attribute in ADI KR:%d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 38: -YY_RULE_SETUP -#line 257 "lex_conf.l" -{ - cm.setParameter(1,KR_HYPERRECT); - mb.printf("Using HYPERRECT Knowledge Representation\n"); -} - YY_BREAK -case 39: -YY_RULE_SETUP -#line 262 "lex_conf.l" -{ - cm.setParameter(1,KR_LCS); - mb.printf("Using LCS Knowledge Representation\n"); -} - YY_BREAK -case 40: -YY_RULE_SETUP -#line 267 "lex_conf.l" -{ - cm.setParameter(1,KR_INSTANCE_SET); - mb.printf("Using Instance Set/1-NN Knowledge Representation\n"); -} - YY_BREAK -case 41: -YY_RULE_SETUP -#line 272 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,ALPHA_OF_BLX); - mb.printf("Using BLX crossover with alpha:%f\n" - ,atof(charFilter(yytext))); -} - YY_BREAK -case 42: -YY_RULE_SETUP -#line 278 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,D_OF_FR); - mb.printf("Using FR crossover with D:%f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 43: -YY_RULE_SETUP -#line 283 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,N_OF_SBX); - mb.printf("Using SBX crossover with N:%f\n" ,atof(charFilter(yytext))); -} - YY_BREAK -case 44: -YY_RULE_SETUP -#line 288 "lex_conf.l" -{ - rnd.setSeed((unsigned long int)atof(charFilter(yytext))); - mb.printf("Random seed specified:%s\n",yytext+12); -} - YY_BREAK -case 45: -YY_RULE_SETUP -#line 293 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE); - mb.printf("Penalize the individuals that have a size less than %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 46: -YY_RULE_SETUP -#line 299 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE_AT_END); - mb.printf("Penalize the individuals that have a size less than %d at end\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 47: -YY_RULE_SETUP -#line 305 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)) ,PARETO_SELECTION_ITERATION); - mb.printf("Pareto selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 48: -YY_RULE_SETUP -#line 312 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)) ,TOTAL_TIME); - mb.printf("Time spent on the learning process %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 49: -YY_RULE_SETUP -#line 318 "lex_conf.l" -{ - if(!strcasecmp(yytext+14,"MAJOR")) { - cm.setParameter(MAJOR,DEFAULT_CLASS); - mb.printf("Majoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"MINOR")) { - cm.setParameter(MINOR,DEFAULT_CLASS); - mb.printf("Minoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"DISABLED")) { - cm.setParameter(DISABLED,DEFAULT_CLASS); - mb.printf("Default class disabled\n"); - } else if(!strcasecmp(yytext+14,"AUTO")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - mb.printf("Automatical determination of default class\n"); - } else if(!strcasecmp(yytext+14,"AUTO2")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - cm.setParameter(1,HARD_NICHING_DISABLE); - mb.printf("Automatical determination of default class with alternative niching disabling code\n"); - } else if(!strcasecmp(yytext+14,"FIXED")) { - cm.setParameter(FIXED,DEFAULT_CLASS); - mb.printf("Default class fixed\n"); - } else { - mb.printf("Unknown default class policy:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 50: -YY_RULE_SETUP -#line 344 "lex_conf.l" -{ - cm.setParameter(atoi(charFilter(yytext)) ,FIXED_DEFAULT_CLASS); - mb.printf("User fixed default class %d\n" - ,atoi(charFilter(yytext))); -} - YY_BREAK -case 51: -YY_RULE_SETUP -#line 350 "lex_conf.l" -{ - cm.setParameter(1 ,SMART_INIT); - mb.printf("Initialization uses examples to create the initial rules\n"); -} - YY_BREAK -case 52: -YY_RULE_SETUP -#line 355 "lex_conf.l" -{ - cm.setParameter(1 ,CLASS_WISE_INIT); - mb.printf("Instances used in initialization are sampled with uniform class distribution\n"); -} - YY_BREAK -case 53: -YY_RULE_SETUP -#line 360 "lex_conf.l" -{ - cm.setParameter(1 ,CLASS_WISE_ACC); - mb.printf("Training accuracy computation will be class-wise\n"); -} - YY_BREAK -case 54: -YY_RULE_SETUP -#line 366 "lex_conf.l" -{ - cm.setParameter(1 ,DUMP_ACTIVATION); - mb.printf("Dump average activation after initialization\n"); -} - YY_BREAK -case 55: -YY_RULE_SETUP -#line 372 "lex_conf.l" -{ - if(!strcasecmp(yytext+15,"FTB")) { - cm.setParameter(FTB,PRUNING_POLICY); - mb.printf("Rule pruning policy is front to back\n"); - } else if(!strcasecmp(yytext+15,"BTF")) { - cm.setParameter(BTF,PRUNING_POLICY); - mb.printf("Rule pruning policy is back to front\n"); - } else if(!strcasecmp(yytext+15,"RANDOM")) { - cm.setParameter(RANDOM,PRUNING_POLICY); - mb.printf("Rule pruning policy is random\n"); - } else { - mb.printf("Unknown pruning policy:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 56: -YY_RULE_SETUP -#line 389 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_SMART_CROSSOVER); - mb.printf("Smart crossover probability: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 57: -YY_RULE_SETUP -#line 394 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),NUM_PARENTS_SMART_CROSSOVER); - mb.printf("Number of parents in smart crossover: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 58: -YY_RULE_SETUP -#line 400 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),FILTER_SMART_CROSSOVER); - mb.printf("Smart crossover filter threshold: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 59: -YY_RULE_SETUP -#line 406 "lex_conf.l" -{ - cm.setParameter(1,ADD_RULES_SMART_CROSSOVER); - mb.printf("Smart crossover adds new rules\n"); -} - YY_BREAK -case 60: -YY_RULE_SETUP -#line 411 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_ORDERING); - mb.printf("Number of repetitions of the rule ordering process in SmartX: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 61: -YY_RULE_SETUP -#line 416 "lex_conf.l" -{ - cm.setParameter(1,ELITISM_WITH_SMART_CROSSOVER); - mb.printf("Elitism stage will use smart crossover\n"); -} - YY_BREAK -case 62: -YY_RULE_SETUP -#line 420 "lex_conf.l" -{ - cm.setParameter(1,ELITISM_LAST_ITERATION_WITH_SMART_CROSSOVER); - mb.printf("Last iteration of elitism stage will use smart crossover\n"); -} - YY_BREAK -case 63: -YY_RULE_SETUP -#line 426 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),RULE_CLEANING_PROB); - mb.printf("Rule cleaning probability : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 64: -YY_RULE_SETUP -#line 431 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),RULE_GENERALIZING_PROB); - mb.printf("Rule generalizing probability : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 65: -YY_RULE_SETUP -#line 437 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),DUMP_GENOTYPE_ITERATIONS); - mb.printf("Genotype of best individual is dumped every %d iterations\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 66: -YY_RULE_SETUP -#line 442 "lex_conf.l" -{ - mb.enable(); -} - YY_BREAK -case 67: -YY_RULE_SETUP -#line 446 "lex_conf.l" -{ - mb.printf("Crossover will use informed cut points (cutPoints.dat)\n"); - cm.setParameter(1,INFORMED_CROSSOVER); -} - YY_BREAK -case 68: -YY_RULE_SETUP -#line 451 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),COVERAGE_INIT); - mb.printf("Coverage ratio in initialization : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 69: -YY_RULE_SETUP -#line 456 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),EXPRESSED_ATT_INIT); - mb.printf("Number of expressed attributes in initialization : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 70: -YY_RULE_SETUP -#line 462 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),COVERAGE_BREAKPOINT); - mb.printf("Coverage breakpoint for MDL fitness : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 71: -YY_RULE_SETUP -#line 467 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),COVERAGE_RATIO); - mb.printf("Coverage ratio for MDL fitness : %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 72: -YY_RULE_SETUP -#line 473 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_LEARNING); - mb.printf("Number of times we will try to learn a rule from the current training set: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 73: -YY_RULE_SETUP -#line 478 "lex_conf.l" -{ - mb.printf("Intervalar representation will use rotations\n"); - cm.setParameter(1,ROTATE_HYPERRECTANGLES); -} - YY_BREAK -case 74: -YY_RULE_SETUP -#line 483 "lex_conf.l" -{ - mb.printf("Only a subset of attributes will be rotated (rotatedAttributes.dat)\n"); - cm.setParameter(1,RESTRICTED_ROTATED_ATTRIBUTES); -} - YY_BREAK -case 75: -YY_RULE_SETUP -#line 489 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_INIT); - mb.printf("Probability of setting an angle to 0 degrees in initialization: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 76: -YY_RULE_SETUP -#line 494 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_MUT); - mb.printf("Probability of setting an angle to 0 degrees in mutation: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 77: -YY_RULE_SETUP -#line 499 "lex_conf.l" -{ - mb.printf("Hyperrectangle attribute list knowledge representation\n"); - cm.setParameter(1,HYPERRECT_LIST); -} - YY_BREAK -case 78: -YY_RULE_SETUP -#line 504 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_GENERALIZE_LIST); - mb.printf("Probability of generalizing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 79: -YY_RULE_SETUP -#line 508 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PROB_SPECIALIZE_LIST); - mb.printf("Probability of specializing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} - YY_BREAK -case 80: -YY_RULE_SETUP -#line 513 "lex_conf.l" -{ - mb.printf("Using the coverage breakpoint adjustment heuristic\n"); - cm.setParameter(1,COVERAGE_BREAK_HEURISTIC); -} - YY_BREAK -case 81: -YY_RULE_SETUP -#line 518 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),MAX_NUMBER_RULES_COVADJ); - mb.printf("Maximum number of rules considered in coverage break adjustement: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 82: -YY_RULE_SETUP -#line 523 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),RULES_STEP_COVADJ); - mb.printf("Step for the number of rules considered in the coverage break adjustement: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 83: -YY_RULE_SETUP -#line 528 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),MAX_ACC_REP); - mb.printf("Minimum accuracy to consider a representative: %d\n",atof(charFilter(yytext))); -} - YY_BREAK -case 84: -YY_RULE_SETUP -#line 533 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),NUMBER_REP); - mb.printf("Number of representatives to stop search: %d\n",atoi(charFilter(yytext))); -} - YY_BREAK -case 85: -YY_RULE_SETUP -#line 538 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),DEVICE_SELECTED); - mb.printf("Device selected through configuration: %f\n",atof(charFilter(yytext))); - -} - YY_BREAK -case 86: -YY_RULE_SETUP -#line 544 "lex_conf.l" -{ - cm.setParameter(atof(charFilter(yytext)),PERC_DEVICE_MEM); - mb.printf("Percentage of device memory used: %f\n",atof(charFilter(yytext))); - -} - YY_BREAK -case 87: -YY_RULE_SETUP -#line 550 "lex_conf.l" -{ - mb.printf("CUDA Enabled fitness function activated\n"); - cm.setParameter(1,CUDA_ENABLED); -} - YY_BREAK -case 88: -YY_RULE_SETUP -#line 555 "lex_conf.l" -{ - if(!strcasecmp(yytext+23,"ALL")) { - mb.printf("All Train set statistics enabled\n"); - cm.setParameter(ALL,TRAIN_STATS_ENABLED); - } else if(!strcasecmp(yytext+23,"START")) { - mb.printf("Train set statistics enabled at the start\n"); - cm.setParameter(START,TRAIN_STATS_ENABLED); - } else if(!strcasecmp(yytext+23,"END")) { - mb.printf("Train set statistics enabled at the end\n"); - cm.setParameter(END,TRAIN_STATS_ENABLED); - } else { - mb.printf("Unknown train set statistics policy:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 89: -YY_RULE_SETUP -#line 572 "lex_conf.l" -{ - if(!strcasecmp(yytext+22,"ALL")) { - mb.printf("All Test set statistics enabled\n"); - cm.setParameter(ALL,TEST_STATS_ENABLED); - } else if(!strcasecmp(yytext+22,"START")) { - mb.printf("Test set statistics enabled at the start\n"); - cm.setParameter(START,TEST_STATS_ENABLED); - } else if(!strcasecmp(yytext+22,"END")) { - mb.printf("Test set statistics enabled at the end\n"); - cm.setParameter(END,TEST_STATS_ENABLED); - } else { - mb.printf("Unknown test set statistics policy:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 90: -YY_RULE_SETUP -#line 589 "lex_conf.l" -{ - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR1_POLICY); - mb.printf("Operator 1: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR1_POLICY); - mb.printf("Operator 1: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR1_POLICY); - mb.printf("Operator 1: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR1_POLICY); - mb.printf("Operator 1: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR1_POLICY); - mb.printf("Operator 1: None\n"); - } else { - mb.printf("Unknown operator 1 selected:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 91: -YY_RULE_SETUP -#line 611 "lex_conf.l" -{ - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: None\n"); - } else { - mb.printf("Unknown OPERATOR 2 selected:%s\n",yytext+18); - exit(1); - } -} - YY_BREAK -case 92: -YY_RULE_SETUP -#line 633 "lex_conf.l" -{ - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: None\n"); - } else { - mb.printf("Unknown OPERATOR 3 selected:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 93: -YY_RULE_SETUP -#line 655 "lex_conf.l" -{ - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: None\n"); - } else { - mb.printf("Unknown OPERATOR 4 selected:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 94: -YY_RULE_SETUP -#line 678 "lex_conf.l" -{ - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: None\n"); - } else { - mb.printf("Unknown OPERATOR 5 selected:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 95: -YY_RULE_SETUP -#line 700 "lex_conf.l" -{ - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: None\n"); - } else { - mb.printf("Unknown OPERATOR 6 selected:%s\n",yytext); - exit(1); - } -} - YY_BREAK -case 96: -*yy_cp = (yy_hold_char); /* undo effects of setting up yytext */ -(yy_c_buf_p) = yy_cp -= 1; -YY_DO_BEFORE_ACTION; /* set up yytext again */ -YY_RULE_SETUP -#line 723 "lex_conf.l" -/* eat up one-line comments */ - YY_BREAK -case 97: -/* rule 97 can match eol */ -YY_RULE_SETUP -#line 725 "lex_conf.l" -/* eat up whitespace */ - YY_BREAK -case 98: -YY_RULE_SETUP -#line 727 "lex_conf.l" -mb.printf( "Unrecognized character: %s\n", yytext ); - YY_BREAK -case 99: -YY_RULE_SETUP -#line 729 "lex_conf.l" -ECHO; - YY_BREAK -#line 3320 "lex.yy.cpp" -case YY_STATE_EOF(INITIAL): - yyterminate(); - - case YY_END_OF_BUFFER: - { - /* Amount of text matched not including the EOB char. */ - int yy_amount_of_matched_text = (int) (yy_cp - (yytext_ptr)) - 1; - - /* Undo the effects of YY_DO_BEFORE_ACTION. */ - *yy_cp = (yy_hold_char); - YY_RESTORE_YY_MORE_OFFSET - - if ( YY_CURRENT_BUFFER_LVALUE->yy_buffer_status == YY_BUFFER_NEW ) - { - /* We're scanning a new file or input source. It's - * possible that this happened because the user - * just pointed yyin at a new source and called - * yylex(). If so, then we have to assure - * consistency between YY_CURRENT_BUFFER and our - * globals. Here is the right place to do so, because - * this is the first action (other than possibly a - * back-up) that will match for the new input source. - */ - (yy_n_chars) = YY_CURRENT_BUFFER_LVALUE->yy_n_chars; - YY_CURRENT_BUFFER_LVALUE->yy_input_file = yyin; - YY_CURRENT_BUFFER_LVALUE->yy_buffer_status = YY_BUFFER_NORMAL; - } - - /* Note that here we test for yy_c_buf_p "<=" to the position - * of the first EOB in the buffer, since yy_c_buf_p will - * already have been incremented past the NUL character - * (since all states make transitions on EOB to the - * end-of-buffer state). Contrast this with the test - * in input(). - */ - if ( (yy_c_buf_p) <= &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)] ) - { /* This was really a NUL. */ - yy_state_type yy_next_state; - - (yy_c_buf_p) = (yytext_ptr) + yy_amount_of_matched_text; - - yy_current_state = yy_get_previous_state( ); - - /* Okay, we're now positioned to make the NUL - * transition. We couldn't have - * yy_get_previous_state() go ahead and do it - * for us because it doesn't know how to deal - * with the possibility of jamming (and we don't - * want to build jamming into it because then it - * will run more slowly). - */ - - yy_next_state = yy_try_NUL_trans( yy_current_state ); - - yy_bp = (yytext_ptr) + YY_MORE_ADJ; - - if ( yy_next_state ) - { - /* Consume the NUL. */ - yy_cp = ++(yy_c_buf_p); - yy_current_state = yy_next_state; - goto yy_match; - } - - else - { - yy_cp = (yy_c_buf_p); - goto yy_find_action; - } - } - - else switch ( yy_get_next_buffer( ) ) - { - case EOB_ACT_END_OF_FILE: - { - (yy_did_buffer_switch_on_eof) = 0; - - if ( yywrap( ) ) - { - /* Note: because we've taken care in - * yy_get_next_buffer() to have set up - * yytext, we can now set up - * yy_c_buf_p so that if some total - * hoser (like flex itself) wants to - * call the scanner after we return the - * YY_NULL, it'll still work - another - * YY_NULL will get returned. - */ - (yy_c_buf_p) = (yytext_ptr) + YY_MORE_ADJ; - - yy_act = YY_STATE_EOF(YY_START); - goto do_action; - } - - else - { - if ( ! (yy_did_buffer_switch_on_eof) ) - YY_NEW_FILE; - } - break; - } - - case EOB_ACT_CONTINUE_SCAN: - (yy_c_buf_p) = - (yytext_ptr) + yy_amount_of_matched_text; - - yy_current_state = yy_get_previous_state( ); - - yy_cp = (yy_c_buf_p); - yy_bp = (yytext_ptr) + YY_MORE_ADJ; - goto yy_match; - - case EOB_ACT_LAST_MATCH: - (yy_c_buf_p) = - &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)]; - - yy_current_state = yy_get_previous_state( ); - - yy_cp = (yy_c_buf_p); - yy_bp = (yytext_ptr) + YY_MORE_ADJ; - goto yy_find_action; - } - break; - } - - default: - YY_FATAL_ERROR( - "fatal flex scanner internal error--no action found" ); - } /* end of action switch */ - } /* end of scanning one token */ - } /* end of user's declarations */ -} /* end of yylex */ - -/* yy_get_next_buffer - try to read in a new buffer - * - * Returns a code representing an action: - * EOB_ACT_LAST_MATCH - - * EOB_ACT_CONTINUE_SCAN - continue scanning from current position - * EOB_ACT_END_OF_FILE - end of file - */ -static int yy_get_next_buffer (void) -{ - char *dest = YY_CURRENT_BUFFER_LVALUE->yy_ch_buf; - char *source = (yytext_ptr); - yy_size_t number_to_move, i; - int ret_val; - - if ( (yy_c_buf_p) > &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars) + 1] ) - YY_FATAL_ERROR( - "fatal flex scanner internal error--end of buffer missed" ); - - if ( YY_CURRENT_BUFFER_LVALUE->yy_fill_buffer == 0 ) - { /* Don't try to fill the buffer, so this is an EOF. */ - if ( (yy_c_buf_p) - (yytext_ptr) - YY_MORE_ADJ == 1 ) - { - /* We matched a single character, the EOB, so - * treat this as a final EOF. - */ - return EOB_ACT_END_OF_FILE; - } - - else - { - /* We matched some text prior to the EOB, first - * process it. - */ - return EOB_ACT_LAST_MATCH; - } - } - - /* Try to read more data. */ - - /* First move last chars to start of buffer. */ - number_to_move = (yy_size_t) ((yy_c_buf_p) - (yytext_ptr)) - 1; - - for ( i = 0; i < number_to_move; ++i ) - *(dest++) = *(source++); - - if ( YY_CURRENT_BUFFER_LVALUE->yy_buffer_status == YY_BUFFER_EOF_PENDING ) - /* don't do the read, it's not guaranteed to return an EOF, - * just force an EOF - */ - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars) = 0; - - else - { - int num_to_read = - YY_CURRENT_BUFFER_LVALUE->yy_buf_size - number_to_move - 1; - - while ( num_to_read <= 0 ) - { /* Not enough room in the buffer - grow it. */ - - /* just a shorter name for the current buffer */ - YY_BUFFER_STATE b = YY_CURRENT_BUFFER_LVALUE; - - int yy_c_buf_p_offset = - (int) ((yy_c_buf_p) - b->yy_ch_buf); - - if ( b->yy_is_our_buffer ) - { - int new_size = b->yy_buf_size * 2; - - if ( new_size <= 0 ) - b->yy_buf_size += b->yy_buf_size / 8; - else - b->yy_buf_size *= 2; - - b->yy_ch_buf = (char *) - /* Include room in for 2 EOB chars. */ - yyrealloc((void *) b->yy_ch_buf,(yy_size_t) (b->yy_buf_size + 2) ); - } - else - /* Can't grow it, we don't own it. */ - b->yy_ch_buf = NULL; - - if ( ! b->yy_ch_buf ) - YY_FATAL_ERROR( - "fatal error - scanner input buffer overflow" ); - - (yy_c_buf_p) = &b->yy_ch_buf[yy_c_buf_p_offset]; - - num_to_read = YY_CURRENT_BUFFER_LVALUE->yy_buf_size - - number_to_move - 1; - - } - - if ( num_to_read > YY_READ_BUF_SIZE ) - num_to_read = YY_READ_BUF_SIZE; - - /* Read in more data. */ - YY_INPUT( (&YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[number_to_move]), - (yy_n_chars), num_to_read ); - - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars); - } - - if ( (yy_n_chars) == 0 ) - { - if ( number_to_move == YY_MORE_ADJ ) - { - ret_val = EOB_ACT_END_OF_FILE; - yyrestart(yyin ); - } - - else - { - ret_val = EOB_ACT_LAST_MATCH; - YY_CURRENT_BUFFER_LVALUE->yy_buffer_status = - YY_BUFFER_EOF_PENDING; - } - } - - else - ret_val = EOB_ACT_CONTINUE_SCAN; - - if ((int) ((yy_n_chars) + number_to_move) > YY_CURRENT_BUFFER_LVALUE->yy_buf_size) { - /* Extend the array by 50%, plus the number we really need. */ - int new_size = (yy_n_chars) + number_to_move + ((yy_n_chars) >> 1); - YY_CURRENT_BUFFER_LVALUE->yy_ch_buf = (char *) yyrealloc((void *) YY_CURRENT_BUFFER_LVALUE->yy_ch_buf,(yy_size_t) new_size ); - if ( ! YY_CURRENT_BUFFER_LVALUE->yy_ch_buf ) - YY_FATAL_ERROR( "out of dynamic memory in yy_get_next_buffer()" ); - } - - (yy_n_chars) += number_to_move; - YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)] = YY_END_OF_BUFFER_CHAR; - YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars) + 1] = YY_END_OF_BUFFER_CHAR; - - (yytext_ptr) = &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[0]; - - return ret_val; -} - -/* yy_get_previous_state - get the state just before the EOB char was reached */ - - static yy_state_type yy_get_previous_state (void) -{ - yy_state_type yy_current_state; - char *yy_cp; - - yy_current_state = (yy_start); - - for ( yy_cp = (yytext_ptr) + YY_MORE_ADJ; yy_cp < (yy_c_buf_p); ++yy_cp ) - { - YY_CHAR yy_c = (*yy_cp ? yy_ec[YY_SC_TO_UI(*yy_cp)] : 1); - if ( yy_accept[yy_current_state] ) - { - (yy_last_accepting_state) = yy_current_state; - (yy_last_accepting_cpos) = yy_cp; - } - while ( yy_chk[yy_base[yy_current_state] + yy_c] != yy_current_state ) - { - yy_current_state = (int) yy_def[yy_current_state]; - if ( yy_current_state >= 1696 ) - yy_c = yy_meta[(unsigned int) yy_c]; - } - yy_current_state = yy_nxt[yy_base[yy_current_state] + (flex_int16_t) yy_c]; - } - - return yy_current_state; -} - -/* yy_try_NUL_trans - try to make a transition on the NUL character - * - * synopsis - * next_state = yy_try_NUL_trans( current_state ); - */ - static yy_state_type yy_try_NUL_trans (yy_state_type yy_current_state ) -{ - int yy_is_jam; - char *yy_cp = (yy_c_buf_p); - - YY_CHAR yy_c = 1; - if ( yy_accept[yy_current_state] ) - { - (yy_last_accepting_state) = yy_current_state; - (yy_last_accepting_cpos) = yy_cp; - } - while ( yy_chk[yy_base[yy_current_state] + yy_c] != yy_current_state ) - { - yy_current_state = (int) yy_def[yy_current_state]; - if ( yy_current_state >= 1696 ) - yy_c = yy_meta[(unsigned int) yy_c]; - } - yy_current_state = yy_nxt[yy_base[yy_current_state] + (flex_int16_t) yy_c]; - yy_is_jam = (yy_current_state == 1695); - - return yy_is_jam ? 0 : yy_current_state; -} - -#ifndef YY_NO_UNPUT - - static void yyunput (int c, char * yy_bp ) -{ - char *yy_cp; - - yy_cp = (yy_c_buf_p); - - /* undo effects of setting up yytext */ - *yy_cp = (yy_hold_char); - - if ( yy_cp < YY_CURRENT_BUFFER_LVALUE->yy_ch_buf + 2 ) - { /* need to shift things up to make room */ - /* +2 for EOB chars. */ - int number_to_move = (yy_n_chars) + 2; - char *dest = &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[ - YY_CURRENT_BUFFER_LVALUE->yy_buf_size + 2]; - char *source = - &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[number_to_move]; - - while ( source > YY_CURRENT_BUFFER_LVALUE->yy_ch_buf ) - *--dest = *--source; - - yy_cp += (int) (dest - source); - yy_bp += (int) (dest - source); - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = - (yy_n_chars) = (int) YY_CURRENT_BUFFER_LVALUE->yy_buf_size; - - if ( yy_cp < YY_CURRENT_BUFFER_LVALUE->yy_ch_buf + 2 ) - YY_FATAL_ERROR( "flex scanner push-back overflow" ); - } - - *--yy_cp = (char) c; - - (yytext_ptr) = yy_bp; - (yy_hold_char) = *yy_cp; - (yy_c_buf_p) = yy_cp; -} - -#endif - -#ifndef YY_NO_INPUT -#ifdef __cplusplus - static int yyinput (void) -#else - static int input (void) -#endif - -{ - int c; - - *(yy_c_buf_p) = (yy_hold_char); - - if ( *(yy_c_buf_p) == YY_END_OF_BUFFER_CHAR ) - { - /* yy_c_buf_p now points to the character we want to return. - * If this occurs *before* the EOB characters, then it's a - * valid NUL; if not, then we've hit the end of the buffer. - */ - if ( (yy_c_buf_p) < &YY_CURRENT_BUFFER_LVALUE->yy_ch_buf[(yy_n_chars)] ) - /* This was really a NUL. */ - *(yy_c_buf_p) = '\0'; - - else - { /* need more input */ - int offset = (yy_c_buf_p) - (yytext_ptr); - ++(yy_c_buf_p); - - switch ( yy_get_next_buffer( ) ) - { - case EOB_ACT_LAST_MATCH: - /* This happens because yy_g_n_b() - * sees that we've accumulated a - * token and flags that we need to - * try matching the token before - * proceeding. But for input(), - * there's no matching to consider. - * So convert the EOB_ACT_LAST_MATCH - * to EOB_ACT_END_OF_FILE. - */ - - /* Reset buffer status. */ - yyrestart(yyin ); - - /*FALLTHROUGH*/ - - case EOB_ACT_END_OF_FILE: - { - if ( yywrap( ) ) - return 0; - - if ( ! (yy_did_buffer_switch_on_eof) ) - YY_NEW_FILE; -#ifdef __cplusplus - return yyinput(); -#else - return input(); -#endif - } - - case EOB_ACT_CONTINUE_SCAN: - (yy_c_buf_p) = (yytext_ptr) + offset; - break; - } - } - } - - c = *(unsigned char *) (yy_c_buf_p); /* cast for 8-bit char's */ - *(yy_c_buf_p) = '\0'; /* preserve yytext */ - (yy_hold_char) = *++(yy_c_buf_p); - - return c; -} -#endif /* ifndef YY_NO_INPUT */ - -/** Immediately switch to a different input stream. - * @param input_file A readable stream. - * - * @note This function does not reset the start condition to @c INITIAL . - */ - void yyrestart (FILE * input_file ) -{ - - if ( ! YY_CURRENT_BUFFER ){ - yyensure_buffer_stack (); - YY_CURRENT_BUFFER_LVALUE = - yy_create_buffer(yyin,YY_BUF_SIZE ); - } - - yy_init_buffer(YY_CURRENT_BUFFER,input_file ); - yy_load_buffer_state( ); -} - -/** Switch to a different input buffer. - * @param new_buffer The new input buffer. - * - */ - void yy_switch_to_buffer (YY_BUFFER_STATE new_buffer ) -{ - - /* TODO. We should be able to replace this entire function body - * with - * yypop_buffer_state(); - * yypush_buffer_state(new_buffer); - */ - yyensure_buffer_stack (); - if ( YY_CURRENT_BUFFER == new_buffer ) - return; - - if ( YY_CURRENT_BUFFER ) - { - /* Flush out information for old buffer. */ - *(yy_c_buf_p) = (yy_hold_char); - YY_CURRENT_BUFFER_LVALUE->yy_buf_pos = (yy_c_buf_p); - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars); - } - - YY_CURRENT_BUFFER_LVALUE = new_buffer; - yy_load_buffer_state( ); - - /* We don't actually know whether we did this switch during - * EOF (yywrap()) processing, but the only time this flag - * is looked at is after yywrap() is called, so it's safe - * to go ahead and always set it. - */ - (yy_did_buffer_switch_on_eof) = 1; -} - -static void yy_load_buffer_state (void) -{ - (yy_n_chars) = YY_CURRENT_BUFFER_LVALUE->yy_n_chars; - (yytext_ptr) = (yy_c_buf_p) = YY_CURRENT_BUFFER_LVALUE->yy_buf_pos; - yyin = YY_CURRENT_BUFFER_LVALUE->yy_input_file; - (yy_hold_char) = *(yy_c_buf_p); -} - -/** Allocate and initialize an input buffer state. - * @param file A readable stream. - * @param size The character buffer size in bytes. When in doubt, use @c YY_BUF_SIZE. - * - * @return the allocated buffer state. - */ - YY_BUFFER_STATE yy_create_buffer (FILE * file, int size ) -{ - YY_BUFFER_STATE b; - - b = (YY_BUFFER_STATE) yyalloc(sizeof( struct yy_buffer_state ) ); - if ( ! b ) - YY_FATAL_ERROR( "out of dynamic memory in yy_create_buffer()" ); - - b->yy_buf_size = size; - - /* yy_ch_buf has to be 2 characters longer than the size given because - * we need to put in 2 end-of-buffer characters. - */ - b->yy_ch_buf = (char *) yyalloc((yy_size_t) (b->yy_buf_size + 2) ); - if ( ! b->yy_ch_buf ) - YY_FATAL_ERROR( "out of dynamic memory in yy_create_buffer()" ); - - b->yy_is_our_buffer = 1; - - yy_init_buffer(b,file ); - - return b; -} - -/** Destroy the buffer. - * @param b a buffer created with yy_create_buffer() - * - */ - void yy_delete_buffer (YY_BUFFER_STATE b ) -{ - - if ( ! b ) - return; - - if ( b == YY_CURRENT_BUFFER ) /* Not sure if we should pop here. */ - YY_CURRENT_BUFFER_LVALUE = (YY_BUFFER_STATE) 0; - - if ( b->yy_is_our_buffer ) - yyfree((void *) b->yy_ch_buf ); - - yyfree((void *) b ); -} - -/* Initializes or reinitializes a buffer. - * This function is sometimes called more than once on the same buffer, - * such as during a yyrestart() or at EOF. - */ - static void yy_init_buffer (YY_BUFFER_STATE b, FILE * file ) - -{ - int oerrno = errno; - - yy_flush_buffer(b ); - - b->yy_input_file = file; - b->yy_fill_buffer = 1; - - /* If b is the current buffer, then yy_init_buffer was _probably_ - * called from yyrestart() or through yy_get_next_buffer. - * In that case, we don't want to reset the lineno or column. - */ - if (b != YY_CURRENT_BUFFER){ - b->yy_bs_lineno = 1; - b->yy_bs_column = 0; - } - - b->yy_is_interactive = file ? (isatty( fileno(file) ) > 0) : 0; - - errno = oerrno; -} - -/** Discard all buffered characters. On the next scan, YY_INPUT will be called. - * @param b the buffer state to be flushed, usually @c YY_CURRENT_BUFFER. - * - */ - void yy_flush_buffer (YY_BUFFER_STATE b ) -{ - if ( ! b ) - return; - - b->yy_n_chars = 0; - - /* We always need two end-of-buffer characters. The first causes - * a transition to the end-of-buffer state. The second causes - * a jam in that state. - */ - b->yy_ch_buf[0] = YY_END_OF_BUFFER_CHAR; - b->yy_ch_buf[1] = YY_END_OF_BUFFER_CHAR; - - b->yy_buf_pos = &b->yy_ch_buf[0]; - - b->yy_at_bol = 1; - b->yy_buffer_status = YY_BUFFER_NEW; - - if ( b == YY_CURRENT_BUFFER ) - yy_load_buffer_state( ); -} - -/** Pushes the new state onto the stack. The new state becomes - * the current state. This function will allocate the stack - * if necessary. - * @param new_buffer The new state. - * - */ -void yypush_buffer_state (YY_BUFFER_STATE new_buffer ) -{ - if (new_buffer == NULL) - return; - - yyensure_buffer_stack(); - - /* This block is copied from yy_switch_to_buffer. */ - if ( YY_CURRENT_BUFFER ) - { - /* Flush out information for old buffer. */ - *(yy_c_buf_p) = (yy_hold_char); - YY_CURRENT_BUFFER_LVALUE->yy_buf_pos = (yy_c_buf_p); - YY_CURRENT_BUFFER_LVALUE->yy_n_chars = (yy_n_chars); - } - - /* Only push if top exists. Otherwise, replace top. */ - if (YY_CURRENT_BUFFER) - (yy_buffer_stack_top)++; - YY_CURRENT_BUFFER_LVALUE = new_buffer; - - /* copied from yy_switch_to_buffer. */ - yy_load_buffer_state( ); - (yy_did_buffer_switch_on_eof) = 1; -} - -/** Removes and deletes the top of the stack, if present. - * The next element becomes the new top. - * - */ -void yypop_buffer_state (void) -{ - if (!YY_CURRENT_BUFFER) - return; - - yy_delete_buffer(YY_CURRENT_BUFFER ); - YY_CURRENT_BUFFER_LVALUE = NULL; - if ((yy_buffer_stack_top) > 0) - --(yy_buffer_stack_top); - - if (YY_CURRENT_BUFFER) { - yy_load_buffer_state( ); - (yy_did_buffer_switch_on_eof) = 1; - } -} - -/* Allocates the stack if it does not exist. - * Guarantees space for at least one push. - */ -static void yyensure_buffer_stack (void) -{ - int num_to_alloc; - - if (!(yy_buffer_stack)) { - - /* First allocation is just for 2 elements, since we don't know if this - * scanner will even need a stack. We use 2 instead of 1 to avoid an - * immediate realloc on the next call. - */ - num_to_alloc = 1; /* After all that talk, this was set to 1 anyways... */ - (yy_buffer_stack) = (struct yy_buffer_state**)yyalloc - (num_to_alloc * sizeof(struct yy_buffer_state*) - ); - if ( ! (yy_buffer_stack) ) - YY_FATAL_ERROR( "out of dynamic memory in yyensure_buffer_stack()" ); - - memset((yy_buffer_stack), 0, num_to_alloc * sizeof(struct yy_buffer_state*)); - - (yy_buffer_stack_max) = num_to_alloc; - (yy_buffer_stack_top) = 0; - return; - } - - if ((yy_buffer_stack_top) >= ((yy_buffer_stack_max)) - 1){ - - /* Increase the buffer to prepare for a possible push. */ - yy_size_t grow_size = 8 /* arbitrary grow size */; - - num_to_alloc = (yy_buffer_stack_max) + grow_size; - (yy_buffer_stack) = (struct yy_buffer_state**)yyrealloc - ((yy_buffer_stack), - num_to_alloc * sizeof(struct yy_buffer_state*) - ); - if ( ! (yy_buffer_stack) ) - YY_FATAL_ERROR( "out of dynamic memory in yyensure_buffer_stack()" ); - - /* zero only the new slots.*/ - memset((yy_buffer_stack) + (yy_buffer_stack_max), 0, grow_size * sizeof(struct yy_buffer_state*)); - (yy_buffer_stack_max) = num_to_alloc; - } -} - -/** Setup the input buffer state to scan directly from a user-specified character buffer. - * @param base the character buffer - * @param size the size in bytes of the character buffer - * - * @return the newly allocated buffer state object. - */ -YY_BUFFER_STATE yy_scan_buffer (char * base, yy_size_t size ) -{ - YY_BUFFER_STATE b; - - if ( size < 2 || - base[size-2] != YY_END_OF_BUFFER_CHAR || - base[size-1] != YY_END_OF_BUFFER_CHAR ) - /* They forgot to leave room for the EOB's. */ - return NULL; - - b = (YY_BUFFER_STATE) yyalloc(sizeof( struct yy_buffer_state ) ); - if ( ! b ) - YY_FATAL_ERROR( "out of dynamic memory in yy_scan_buffer()" ); - - b->yy_buf_size = (int) (size - 2); /* "- 2" to take care of EOB's */ - b->yy_buf_pos = b->yy_ch_buf = base; - b->yy_is_our_buffer = 0; - b->yy_input_file = NULL; - b->yy_n_chars = b->yy_buf_size; - b->yy_is_interactive = 0; - b->yy_at_bol = 1; - b->yy_fill_buffer = 0; - b->yy_buffer_status = YY_BUFFER_NEW; - - yy_switch_to_buffer(b ); - - return b; -} - -/** Setup the input buffer state to scan a string. The next call to yylex() will - * scan from a @e copy of @a str. - * @param yystr a NUL-terminated string to scan - * - * @return the newly allocated buffer state object. - * @note If you want to scan bytes that may contain NUL values, then use - * yy_scan_bytes() instead. - */ -YY_BUFFER_STATE yy_scan_string (yyconst char * yystr ) -{ - - return yy_scan_bytes(yystr,(int) strlen(yystr) ); -} - -/** Setup the input buffer state to scan the given bytes. The next call to yylex() will - * scan from a @e copy of @a bytes. - * @param yybytes the byte buffer to scan - * @param _yybytes_len the number of bytes in the buffer pointed to by @a bytes. - * - * @return the newly allocated buffer state object. - */ -YY_BUFFER_STATE yy_scan_bytes (yyconst char * yybytes, int _yybytes_len ) -{ - YY_BUFFER_STATE b; - char *buf; - yy_size_t n; - int i; - - /* Get memory for full buffer, including space for trailing EOB's. */ - n = (yy_size_t) (_yybytes_len + 2); - buf = (char *) yyalloc(n ); - if ( ! buf ) - YY_FATAL_ERROR( "out of dynamic memory in yy_scan_bytes()" ); - - for ( i = 0; i < _yybytes_len; ++i ) - buf[i] = yybytes[i]; - - buf[_yybytes_len] = buf[_yybytes_len+1] = YY_END_OF_BUFFER_CHAR; - - b = yy_scan_buffer(buf,n ); - if ( ! b ) - YY_FATAL_ERROR( "bad buffer in yy_scan_bytes()" ); - - /* It's okay to grow etc. this buffer, and we should throw it - * away when we're done. - */ - b->yy_is_our_buffer = 1; - - return b; -} - -#ifndef YY_EXIT_FAILURE -#define YY_EXIT_FAILURE 2 -#endif - -static void yynoreturn yy_fatal_error (yyconst char* msg ) -{ - (void) fprintf( stderr, "%s\n", msg ); - exit( YY_EXIT_FAILURE ); -} - -/* Redefine yyless() so it works in section 3 code. */ - -#undef yyless -#define yyless(n) \ - do \ - { \ - /* Undo effects of setting up yytext. */ \ - yy_size_t yyless_macro_arg = (n); \ - YY_LESS_LINENO(yyless_macro_arg);\ - yytext[yyleng] = (yy_hold_char); \ - (yy_c_buf_p) = yytext + yyless_macro_arg; \ - (yy_hold_char) = *(yy_c_buf_p); \ - *(yy_c_buf_p) = '\0'; \ - yyleng = yyless_macro_arg; \ - } \ - while ( 0 ) - -/* Accessor methods (get/set functions) to struct members. */ - -/** Get the current line number. - * - */ -int yyget_lineno (void) -{ - - return yylineno; -} - -/** Get the input stream. - * - */ -FILE *yyget_in (void) -{ - return yyin; -} - -/** Get the output stream. - * - */ -FILE *yyget_out (void) -{ - return yyout; -} - -/** Get the length of the current token. - * - */ -int yyget_leng (void) -{ - return yyleng; -} - -/** Get the current token. - * - */ - -char *yyget_text (void) -{ - return yytext; -} - -/** Set the current line number. - * @param _line_number line number - * - */ -void yyset_lineno (int _line_number ) -{ - - yylineno = _line_number; -} - -/** Set the input stream. This does not discard the current - * input buffer. - * @param _in_str A readable stream. - * - * @see yy_switch_to_buffer - */ -void yyset_in (FILE * _in_str ) -{ - yyin = _in_str ; -} - -void yyset_out (FILE * _out_str ) -{ - yyout = _out_str ; -} - -int yyget_debug (void) -{ - return yy_flex_debug; -} - -void yyset_debug (int _bdebug ) -{ - yy_flex_debug = _bdebug ; -} - -static int yy_init_globals (void) -{ - /* Initialization is the same as for the non-reentrant scanner. - * This function is called from yylex_destroy(), so don't allocate here. - */ - - (yy_buffer_stack) = NULL; - (yy_buffer_stack_top) = 0; - (yy_buffer_stack_max) = 0; - (yy_c_buf_p) = NULL; - (yy_init) = 0; - (yy_start) = 0; - -/* Defined in main.c */ -#ifdef YY_STDINIT - yyin = stdin; - yyout = stdout; -#else - yyin = NULL; - yyout = NULL; -#endif - - /* For future reference: Set errno on error, since we are called by - * yylex_init() - */ - return 0; -} - -/* yylex_destroy is for both reentrant and non-reentrant scanners. */ -int yylex_destroy (void) -{ - - /* Pop the buffer stack, destroying each element. */ - while(YY_CURRENT_BUFFER){ - yy_delete_buffer(YY_CURRENT_BUFFER ); - YY_CURRENT_BUFFER_LVALUE = NULL; - yypop_buffer_state(); - } - - /* Destroy the stack itself. */ - yyfree((yy_buffer_stack) ); - (yy_buffer_stack) = NULL; - - /* Reset the globals. This is important in a non-reentrant scanner so the next time - * yylex() is called, initialization will occur. */ - yy_init_globals( ); - - return 0; -} - -/* - * Internal utility routines. - */ - -#ifndef yytext_ptr -static void yy_flex_strncpy (char* s1, yyconst char * s2, int n ) -{ - - int i; - for ( i = 0; i < n; ++i ) - s1[i] = s2[i]; -} -#endif - -#ifdef YY_NEED_STRLEN -static int yy_flex_strlen (yyconst char * s ) -{ - int n; - for ( n = 0; s[n]; ++n ) - ; - - return n; -} -#endif - -void *yyalloc (yy_size_t size ) -{ - return malloc(size); -} - -void *yyrealloc (void * ptr, yy_size_t size ) -{ - - /* The cast to (char *) in the following accommodates both - * implementations that use char* generic pointers, and those - * that use void* generic pointers. It works with the latter - * because both ANSI C and C++ allow castless assignment from - * any pointer type to void*, and deal with argument conversions - * as though doing an assignment. - */ - return realloc(ptr, size); -} - -void yyfree (void * ptr ) -{ - free( (char *) ptr ); /* see yyrealloc() for (char *) cast */ -} - -#define YYTABLES_NAME "yytables" - -#line 729 "lex_conf.l" - - -int yywrap () -{ - return 1; -} - -char *charFilter(char *string) -{ - while(*string && !(isdigit(*string) || *string=='-')) string++; - return string; -} - -void parseConfig(char *configFile) -{ - int i; - - yyin = fopen( configFile, "r" ); - yylex(); -} - diff --git a/comparison_algs_src/postprocessing/lex.yy.o b/comparison_algs_src/postprocessing/lex.yy.o deleted file mode 100644 index 0ad04a2..0000000 Binary files a/comparison_algs_src/postprocessing/lex.yy.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/lex_conf.h b/comparison_algs_src/postprocessing/lex_conf.h deleted file mode 100644 index f5a2160..0000000 --- a/comparison_algs_src/postprocessing/lex_conf.h +++ /dev/null @@ -1,6 +0,0 @@ -#ifndef _LEX_CONF_H_ -#define _LEX_CONF_H_ - -void parseConfig(char *configFile); - -#endif diff --git a/comparison_algs_src/postprocessing/lex_conf.l b/comparison_algs_src/postprocessing/lex_conf.l deleted file mode 100644 index 421617c..0000000 --- a/comparison_algs_src/postprocessing/lex_conf.l +++ /dev/null @@ -1,747 +0,0 @@ -%{ -#include -#include -#include - -#include "configManagement.h" -#include "attributesInfo.h" -#include "random.h" -#include "messageBuffer.h" - -char *charFilter(char *string); -extern configManagement cm; -extern attributesInfo ai; -extern Random rnd; -extern messageBuffer mb; - - -%} - -DIGIT [0-9] -LETTER [A-Z] - -%% - -"NUM ATTRIBUTES "{DIGIT}+ { -/* int atributs=atoi(charFilter(yytext)); - ai.setNumAttributes(atributs); - mb.printf("Number of attributes in domain:%d\n" - ,atoi(charFilter(yytext)));*/ -} - -"PROB CROSSOVER "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_CROSSOVER); - mb.printf("Crossover probability: %f\n",atof(charFilter(yytext))); -} - -"POP SIZE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),POP_SIZE); - mb.printf("Popsize: %f\n",atof(charFilter(yytext))); -} - -"ITERATIONS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),ITERATIONS); - mb.printf("GA Iterations:%f\n",atof(charFilter(yytext))); -} - -"INITIALIZATION MIN CLASSIFIERS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MIN_CLASSIFIERS); - mb.printf("Minumum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} -"INITIALIZATION MAX CLASSIFIERS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) - ,INITIALIZATION_MAX_CLASSIFIERS); - mb.printf("Maximum number of classifiers per individual in initialization:%f\n" - ,atof(charFilter(yytext))); -} - -"IGNORE MISSING VALUES" { - cm.setParameter(1,IGNORE_MISSING_VALUES); - mb.printf("Ignore missing values\n"); -} - -"DUMP EVOLUTION STATS" { - cm.setParameter(1,DUMP_EVOLUTION_STATS); - mb.printf("Dump learning process statistics at each iteration\n"); -} - -"SELECTION ALGORITHM "{LETTER}+ { - if(!strcasecmp(yytext+20,"TOURNAMENT")) { - cm.setParameter(TOURNAMENT_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection Algorithm\n"); - } else if(!strcasecmp(yytext+20,"TOURNAMENTWOR")) { - cm.setParameter(TOURNAMENT_WOR_SELECTION,SELECTION_ALGORITHM); - mb.printf("Tournament Selection without replacement Algorithm\n"); - } else if(!strcasecmp(yytext+20,"PARETO")) { - cm.setParameter(PARETO_SELECTION,SELECTION_ALGORITHM); - mb.printf("Pareto Selection Algorithm\n"); - } else { - mb.printf("Unknown selection algorithm:%s\n",yytext); - exit(1); - } -} - -"TOURNAMENT SIZE "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),TOURNAMENT_SIZE); - mb.printf("Tournament size:%f\n",atof(charFilter(yytext))); -} - -"SHOW FRONTS" { - cm.setParameter(1,SHOW_FRONTS); - mb.printf("Show Pareto Fronts\n"); -} - -"CROSSOVER OPERATOR "[a-zA-Z0-9]+ { - if(!strcasecmp(&yytext[19],"1PX")) { - cm.setParameter(CROSS_1P,CROSSOVER_OPERATOR); - mb.printf("One Point Crossover\n"); - } else if(!strcasecmp(&yytext[19],"2PX")) { - cm.setParameter(CROSS_2P,CROSSOVER_OPERATOR); - mb.printf("Two Points Crossover\n"); - } else if(!strcasecmp(&yytext[19],"INFORMED")) { - cm.setParameter(CROSS_INFORMED,CROSSOVER_OPERATOR); - mb.printf("Informed Crossover\n"); - } else { - mb.printf("Unknown crossover operator:%s\n",yytext); - exit(1); - } -} - -"FITNESS FUNCTION "{LETTER}+ { - if(!strcasecmp(yytext+17,"ACCURACY")) { - cm.setParameter(MAXIMIZE,MAX_MIN); - cm.setParameter(ACCURACY,FITNESS_FUNCTION); - mb.printf("Squared accuracy fitness function\n"); - } else if(!strcasecmp(yytext+17,"MDL")) { - cm.setParameter(MINIMIZE,MAX_MIN); - cm.setParameter(MDL,FITNESS_FUNCTION); - mb.printf("MDL fitness function\n"); - } else { - mb.printf("Unknown fitness function:%s\n",yytext); - exit(1); - } -} - -"MDL FIXED WEIGHT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT); - mb.printf("MDL fixed weight %f\n" ,atof(charFilter(yytext))); -} - - -"MDL WEIGHT RELAX FACTOR "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,MDL_WEIGHT_RELAX_FACTOR); - mb.printf("MDL Weight relax factor %f\n" ,atof(charFilter(yytext))); -} - -"MDL INITIAL TL RATIO "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),MDL_INITIAL_TL_RATIO); - mb.printf("Initial theory length proportion in MDL formula: %f\n" ,atof(charFilter(yytext))); -} - -"MDL ITERATION "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),MDL_ITERATION); - mb.printf("Iteracio activacio MDL %d\n",atoi(charFilter(yytext))); -} - -"PRUNING ITERATION "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),PRUNING_ITERATION); - mb.printf("Pruning operator activated at iteration:%f\n",atof(charFilter(yytext))); -} - -"PRUNING MIN CLASSIFIERS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),PRUNING_MIN_CLASSIFIERS); - mb.printf("Pruning stops if #classifiers is less that %f\n",atof(charFilter(yytext))); -} - -"PRUNING AUTO THRESHOLD" { - cm.setParameter(1,PRUNING_AUTO_THRESHOLD); - mb.printf("The number of min classifiers is automatically set\n"); -} -"PRUNING AUTO THRESHOLD2" { - cm.setParameter(1,PRUNING_AUTO_THRESHOLD2); - mb.printf("The number of min classifiers is automatically set2\n"); -} - -"PRUNING AUTO OFFSET "-?{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),PRUNING_AUTO_OFFSET); - mb.printf("The min classifiers offset %d\n",atoi(charFilter(yytext))); -} - -"PROB INDIVIDUAL MUTATION "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_INDIVIDUAL_MUTATION); - mb.printf("Individual-wise mutation probability:%f\n",atof(charFilter(yytext))); -} - -"HIERARCHICAL SELECTION ITERATION "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) ,HIERARCHICAL_SELECTION_ITERATION); - mb.printf("Hierarchical selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - -"HIERARCHICAL SELECTION THRESHOLD "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),HIERARCHICAL_SELECTION_THRESHOLD); - mb.printf("Hierarchical selection threshold :%f\n" - ,atof(charFilter(yytext))); -} - -"HIERARCHICAL SELECTION USES MDL THEORY LENGTH" { - cm.setParameter(1,HIERARCHICAL_SELECTION_USES_MDL); - mb.printf("Hierarchical selection uses MDL Theory Length\n"); -} - -"CHECK WINDOWING" { - cm.setParameter(1,CHECK_WINDOWING); - mb.printf("Performance tests of windowing enabled"); -} - -"WINDOWING ILAS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_ILAS); - mb.printf("ILAS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} -"WINDOWING GWS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),WINDOWING_GWS); - mb.printf("GWS Windowing of degree %d\n" - ,atoi(charFilter(yytext))); -} - -"PROB ONE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_ONE); - mb.printf("Probability of value ONE for GABIL and ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - -"PROB SHARP "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_SHARP); - mb.printf("Probability of value Sharp for LCS/Instances KR:%f\n" - ,atof(charFilter(yytext))); -} - -"KR ADI" { - cm.setParameter(1,KR_ADI); - mb.printf("Using Adaptive Discretization Intervals Knowledge Representation\n"); -} - -"PROB MERGE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_MERGE); - mb.printf("Probability of merge operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - -"PROB SPLIT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_SPLIT); - mb.printf("Probability of split operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - -"PROB REINITIALIZE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE); - mb.printf("Probability of reinitialize operator in ADI KR: %f\n" - ,atof(charFilter(yytext))); -} - -"PROB REINITIALIZE AT END "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,PROB_REINITIALIZE_AT_END); - mb.printf("Probability of reinitialize operator at final iteration in ADI KR:%f\n" - ,atof(charFilter(yytext))); -} - -"MAX INTERVALS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),MAX_INTERVALS); - mb.printf("Maximum number of intervals per attribute in ADI KR:%d\n" - ,atoi(charFilter(yytext))); -} - -"KR HYPERRECT" { - cm.setParameter(1,KR_HYPERRECT); - mb.printf("Using HYPERRECT Knowledge Representation\n"); -} - -"KR LCS" { - cm.setParameter(1,KR_LCS); - mb.printf("Using LCS Knowledge Representation\n"); -} - -"KR INSTANCE SET" { - cm.setParameter(1,KR_INSTANCE_SET); - mb.printf("Using Instance Set/1-NN Knowledge Representation\n"); -} - -"ALPHA OF BLX "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,ALPHA_OF_BLX); - mb.printf("Using BLX crossover with alpha:%f\n" - ,atof(charFilter(yytext))); -} - -"D OF FR "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,D_OF_FR); - mb.printf("Using FR crossover with D:%f\n" ,atof(charFilter(yytext))); -} - -"N OF SBX "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)) ,N_OF_SBX); - mb.printf("Using SBX crossover with N:%f\n" ,atof(charFilter(yytext))); -} - -"RANDOM SEED "{DIGIT}+ { - rnd.setSeed((unsigned long int)atof(charFilter(yytext))); - mb.printf("Random seed specified:%s\n",yytext+12); -} - -"PENALIZE INDIVIDUALS WITH LESS CLASSIFIERS THAN "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE); - mb.printf("Penalize the individuals that have a size less than %d\n" - ,atoi(charFilter(yytext))); -} - -"PENALIZE INDIVIDUALS WITH LESS CLASSIFIERS AT END THAN "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)),PENALIZE_MIN_SIZE_AT_END); - mb.printf("Penalize the individuals that have a size less than %d at end\n" - ,atoi(charFilter(yytext))); -} - -"PARETO SELECTION ITERATION "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)) ,PARETO_SELECTION_ITERATION); - mb.printf("Pareto selection activated, starting at iteration %d\n" - ,atoi(charFilter(yytext))); -} - - -"TOTAL TIME "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)) ,TOTAL_TIME); - mb.printf("Time spent on the learning process %d\n" - ,atoi(charFilter(yytext))); -} - -"DEFAULT CLASS "[A-Z0-9]+ { - if(!strcasecmp(yytext+14,"MAJOR")) { - cm.setParameter(MAJOR,DEFAULT_CLASS); - mb.printf("Majoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"MINOR")) { - cm.setParameter(MINOR,DEFAULT_CLASS); - mb.printf("Minoritarian class will be default\n"); - } else if(!strcasecmp(yytext+14,"DISABLED")) { - cm.setParameter(DISABLED,DEFAULT_CLASS); - mb.printf("Default class disabled\n"); - } else if(!strcasecmp(yytext+14,"AUTO")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - mb.printf("Automatical determination of default class\n"); - } else if(!strcasecmp(yytext+14,"AUTO2")) { - cm.setParameter(AUTO,DEFAULT_CLASS); - cm.setParameter(1,HARD_NICHING_DISABLE); - mb.printf("Automatical determination of default class with alternative niching disabling code\n"); - } else if(!strcasecmp(yytext+14,"FIXED")) { - cm.setParameter(FIXED,DEFAULT_CLASS); - mb.printf("Default class fixed\n"); - } else { - mb.printf("Unknown default class policy:%s\n",yytext); - exit(1); - } -} - -"FIXED DEFAULT CLASS "{DIGIT}+ { - cm.setParameter(atoi(charFilter(yytext)) ,FIXED_DEFAULT_CLASS); - mb.printf("User fixed default class %d\n" - ,atoi(charFilter(yytext))); -} - -"SMART INIT" { - cm.setParameter(1 ,SMART_INIT); - mb.printf("Initialization uses examples to create the initial rules\n"); -} - -"CLASS WISE INIT" { - cm.setParameter(1 ,CLASS_WISE_INIT); - mb.printf("Instances used in initialization are sampled with uniform class distribution\n"); -} - -"CLASS WISE ACC" { - cm.setParameter(1 ,CLASS_WISE_ACC); - mb.printf("Training accuracy computation will be class-wise\n"); -} - - -"DUMP ACTIVATION" { - cm.setParameter(1 ,DUMP_ACTIVATION); - mb.printf("Dump average activation after initialization\n"); -} - - -"PRUNING METHOD "{LETTER}+ { - if(!strcasecmp(yytext+15,"FTB")) { - cm.setParameter(FTB,PRUNING_POLICY); - mb.printf("Rule pruning policy is front to back\n"); - } else if(!strcasecmp(yytext+15,"BTF")) { - cm.setParameter(BTF,PRUNING_POLICY); - mb.printf("Rule pruning policy is back to front\n"); - } else if(!strcasecmp(yytext+15,"RANDOM")) { - cm.setParameter(RANDOM,PRUNING_POLICY); - mb.printf("Rule pruning policy is random\n"); - } else { - mb.printf("Unknown pruning policy:%s\n",yytext); - exit(1); - } -} - - -"PROB SMART CROSSOVER "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_SMART_CROSSOVER); - mb.printf("Smart crossover probability: %f\n",atof(charFilter(yytext))); -} - -"NUM PARENTS SMART CROSSOVER "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),NUM_PARENTS_SMART_CROSSOVER); - mb.printf("Number of parents in smart crossover: %d\n",atoi(charFilter(yytext))); -} - - -"FILTER SMART CROSSOVER "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),FILTER_SMART_CROSSOVER); - mb.printf("Smart crossover filter threshold: %f\n",atof(charFilter(yytext))); -} - - -"ADD RULES SMART CROSSOVER" { - cm.setParameter(1,ADD_RULES_SMART_CROSSOVER); - mb.printf("Smart crossover adds new rules\n"); -} - -"REPETITIONS OF RULE ORDERING "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_ORDERING); - mb.printf("Number of repetitions of the rule ordering process in SmartX: %d\n",atoi(charFilter(yytext))); -} - -"ELITISM WITH SMART CROSSOVER" { - cm.setParameter(1,ELITISM_WITH_SMART_CROSSOVER); - mb.printf("Elitism stage will use smart crossover\n"); -} -"ELITISM LAST ITERATION WITH SMART CROSSOVER" { - cm.setParameter(1,ELITISM_LAST_ITERATION_WITH_SMART_CROSSOVER); - mb.printf("Last iteration of elitism stage will use smart crossover\n"); -} - - -"RULE CLEANING PROB "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),RULE_CLEANING_PROB); - mb.printf("Rule cleaning probability : %f\n",atof(charFilter(yytext))); -} - -"RULE GENERALIZING PROB "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),RULE_GENERALIZING_PROB); - mb.printf("Rule generalizing probability : %f\n",atof(charFilter(yytext))); -} - - -"DUMP GENOTYPE OF BEST INDIVIDUAL EVERY ITERATIONS "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),DUMP_GENOTYPE_ITERATIONS); - mb.printf("Genotype of best individual is dumped every %d iterations\n",atoi(charFilter(yytext))); -} - -"BUFFERED OUTPUT" { - mb.enable(); -} - -"INFORMED CROSSOVER" { - mb.printf("Crossover will use informed cut points (cutPoints.dat)\n"); - cm.setParameter(1,INFORMED_CROSSOVER); -} - -"COVERAGE INIT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),COVERAGE_INIT); - mb.printf("Coverage ratio in initialization : %f\n",atof(charFilter(yytext))); -} - -"NUM EXPRESSED ATTRIBUTES INIT "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),EXPRESSED_ATT_INIT); - mb.printf("Number of expressed attributes in initialization : %f\n",atof(charFilter(yytext))); -} - - -"COVERAGE BREAKPOINT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),COVERAGE_BREAKPOINT); - mb.printf("Coverage breakpoint for MDL fitness : %f\n",atof(charFilter(yytext))); -} - -"COVERAGE RATIO "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),COVERAGE_RATIO); - mb.printf("Coverage ratio for MDL fitness : %f\n",atof(charFilter(yytext))); -} - - -"REPETITIONS OF RULE LEARNING "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),REPETITIONS_RULE_LEARNING); - mb.printf("Number of times we will try to learn a rule from the current training set: %d\n",atoi(charFilter(yytext))); -} - -"ROTATE HYPERRECTANGLES" { - mb.printf("Intervalar representation will use rotations\n"); - cm.setParameter(1,ROTATE_HYPERRECTANGLES); -} - -"RESTRICTED ROTATED ATTRIBUTES" { - mb.printf("Only a subset of attributes will be rotated (rotatedAttributes.dat)\n"); - cm.setParameter(1,RESTRICTED_ROTATED_ATTRIBUTES); -} - - -"PROB ZERO ANGLE INIT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_INIT); - mb.printf("Probability of setting an angle to 0 degrees in initialization: %f\n",atof(charFilter(yytext))); -} - -"PROB ZERO ANGLE MUT "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_0ANGLE_MUT); - mb.printf("Probability of setting an angle to 0 degrees in mutation: %f\n",atof(charFilter(yytext))); -} - -"HYPERRECTANGLE USES LIST OF ATTRIBUTES" { - mb.printf("Hyperrectangle attribute list knowledge representation\n"); - cm.setParameter(1,HYPERRECT_LIST); -} - -"PROB GENERALIZE LIST "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_GENERALIZE_LIST); - mb.printf("Probability of generalizing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} -"PROB SPECIALIZE LIST "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PROB_SPECIALIZE_LIST); - mb.printf("Probability of specializing the hyperrect list KR: %f\n",atof(charFilter(yytext))); -} - -"USE COVERAGE BREAK HEURISTIC" { - mb.printf("Using the coverage breakpoint adjustment heuristic\n"); - cm.setParameter(1,COVERAGE_BREAK_HEURISTIC); -} - -"MAXIMUM NUMBER OF RULES FOR COVERAGE HEURISTIC "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),MAX_NUMBER_RULES_COVADJ); - mb.printf("Maximum number of rules considered in coverage break adjustement: %d\n",atoi(charFilter(yytext))); -} - -"RULE STEP FOR COVERAGE HEURISTIC "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),RULES_STEP_COVADJ); - mb.printf("Step for the number of rules considered in the coverage break adjustement: %d\n",atoi(charFilter(yytext))); -} - -"MIN ACCURACY FOR REPRESENTATIVE "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),MAX_ACC_REP); - mb.printf("Minimum accuracy to consider a representative: %d\n",atof(charFilter(yytext))); -} - -"NUMBER OF REPRESENTATIVES "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),NUMBER_REP); - mb.printf("Number of representatives to stop search: %d\n",atoi(charFilter(yytext))); -} - -"DEVICE SELECTED "{DIGIT}+ { - cm.setParameter(atof(charFilter(yytext)),DEVICE_SELECTED); - mb.printf("Device selected through configuration: %f\n",atof(charFilter(yytext))); - -} - -"DEVICE MEMORY USED "{DIGIT}+"."?{DIGIT}* { - cm.setParameter(atof(charFilter(yytext)),PERC_DEVICE_MEM); - mb.printf("Percentage of device memory used: %f\n",atof(charFilter(yytext))); - -} - -"CUDA ENABLED" { - mb.printf("CUDA Enabled fitness function activated\n"); - cm.setParameter(1,CUDA_ENABLED); -} - -"TRAINSET STATS ENABLED "[A-Z0-9]+ { - if(!strcasecmp(yytext+23,"ALL")) { - mb.printf("All Train set statistics enabled\n"); - cm.setParameter(ALL,TRAIN_STATS_ENABLED); - } else if(!strcasecmp(yytext+23,"START")) { - mb.printf("Train set statistics enabled at the start\n"); - cm.setParameter(START,TRAIN_STATS_ENABLED); - } else if(!strcasecmp(yytext+23,"END")) { - mb.printf("Train set statistics enabled at the end\n"); - cm.setParameter(END,TRAIN_STATS_ENABLED); - } else { - mb.printf("Unknown train set statistics policy:%s\n",yytext); - exit(1); - } -} - - -"TESTSET STATS ENABLED "[A-Z0-9]+ { - if(!strcasecmp(yytext+22,"ALL")) { - mb.printf("All Test set statistics enabled\n"); - cm.setParameter(ALL,TEST_STATS_ENABLED); - } else if(!strcasecmp(yytext+22,"START")) { - mb.printf("Test set statistics enabled at the start\n"); - cm.setParameter(START,TEST_STATS_ENABLED); - } else if(!strcasecmp(yytext+22,"END")) { - mb.printf("Test set statistics enabled at the end\n"); - cm.setParameter(END,TEST_STATS_ENABLED); - } else { - mb.printf("Unknown test set statistics policy:%s\n",yytext); - exit(1); - } -} - - -"OPERATOR 1 POLICY "[A-Z0-9]+ { - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR1_POLICY); - mb.printf("Operator 1: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR1_POLICY); - mb.printf("Operator 1: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR1_POLICY); - mb.printf("Operator 1: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR1_POLICY); - mb.printf("Operator 1: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR1_POLICY); - mb.printf("Operator 1: None\n"); - } else { - mb.printf("Unknown operator 1 selected:%s\n",yytext); - exit(1); - } -} - -"OPERATOR 2 POLICY "[A-Z0-9]+ { - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR2_POLICY); - mb.printf("OPERATOR 2: None\n"); - } else { - mb.printf("Unknown OPERATOR 2 selected:%s\n",yytext+18); - exit(1); - } -} - -"OPERATOR 3 POLICY "[A-Z0-9]+ { - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR3_POLICY); - mb.printf("OPERATOR 3: None\n"); - } else { - mb.printf("Unknown OPERATOR 3 selected:%s\n",yytext); - exit(1); - } -} - -"OPERATOR 4 POLICY "[A-Z0-9]+ { - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR4_POLICY); - mb.printf("OPERATOR 4: None\n"); - } else { - mb.printf("Unknown OPERATOR 4 selected:%s\n",yytext); - exit(1); - } -} - - -"OPERATOR 5 POLICY "[A-Z0-9]+ { - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR5_POLICY); - mb.printf("OPERATOR 5: None\n"); - } else { - mb.printf("Unknown OPERATOR 5 selected:%s\n",yytext); - exit(1); - } -} - -"OPERATOR 6 POLICY "[A-Z0-9]+ { - if(!strcasecmp(yytext+18,"CL")) { - cm.setParameter(CL,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Non conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"CL2")) { - cm.setParameter(CL2,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Conservative cleaning\n"); - } else if(!strcasecmp(yytext+18,"PR")) { - cm.setParameter(PR,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Pruning\n"); - } else if(!strcasecmp(yytext+18,"SW")) { - cm.setParameter(SW,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: Rule swapping\n"); - } else if(!strcasecmp(yytext+18,"NONE")) { - cm.setParameter(NONE,OPERATOR6_POLICY); - mb.printf("OPERATOR 6: None\n"); - } else { - mb.printf("Unknown OPERATOR 6 selected:%s\n",yytext); - exit(1); - } -} - - -#.*$ /* eat up one-line comments */ - -[ \t\n]+ /* eat up whitespace */ - -. mb.printf( "Unrecognized character: %s\n", yytext ); - -%% -int yywrap () -{ - return 1; -} - -char *charFilter(char *string) -{ - while(*string && !(isdigit(*string) || *string=='-')) string++; - return string; -} - -void parseConfig(char *configFile) -{ - int i; - - yyin = fopen( configFile, "r" ); - yylex(); -} diff --git a/comparison_algs_src/postprocessing/llista.h b/comparison_algs_src/postprocessing/llista.h deleted file mode 100644 index 28a1192..0000000 --- a/comparison_algs_src/postprocessing/llista.h +++ /dev/null @@ -1,171 +0,0 @@ -#ifndef _LLISTA_CONTENIDOR_ - -#define _LLISTA_CONTENIDOR_ - -#include -#include - -template class node -{ - private: - X info; - int clau; - node *seg; - - public: - node(X _info,int _clau) {info=_info;clau=_clau; seg=NULL;} - node() {seg=NULL;} - int get_clau() {return clau;} - X get_element() {return info;} - void modifica_element(X _info) {info=_info;} - void set_successor(node *_seg) {seg=_seg;} - node *get_successor() {return seg;} -}; - -template class llista -{ - private: - node *primer; - public: - llista(); - ~llista(); - void inserir(X element,int clau); - void modificar(X element,int clau); - void borrar(int clau); - X consultar(int clau); - int hi_ha_param(int clau); -}; - - -template llista::llista() -{ - primer=new node; - - if(!primer) { - perror("llista:llista:out of memory"); - exit(1); - } -} - -template llista::~llista() -{ - node *tmp; - - while(primer!=NULL) { - tmp=primer; - primer=primer->get_successor(); - delete tmp; - } -} - - -template void llista::inserir(X element,int clau) -{ - node *tmp=new node(element,clau); - - if(tmp==NULL) { - perror("llista:inserir:out of memory"); - exit(1); - } - - tmp->set_successor(primer->get_successor()); - primer->set_successor(tmp); - -} - - -template void llista::modificar(X element,int clau) -{ - node *tmp; - int trobat=0; - - tmp=primer->get_successor(); - - while(!trobat && tmp!=NULL) { - if(clau==tmp->get_clau()) { - trobat=1; - tmp->modifica_element(element); - } - else tmp=tmp->get_successor(); - } - if(!trobat) { - inserir(element,clau); - } -} - -template void llista::borrar(int clau) -{ - node *ant,*act; - int trobat=0; - - ant=primer; - act=primer->get_successor(); - - while(!trobat && act!=NULL) { - if(clau==act->get_clau) { - trobat=1; - ant->set_successor(act->get_successor()); - delete act; - } - else { - ant=act; - act=act->get_successor(); - } - } - if(!trobat) { - fprintf(stderr,"llista:borrar:no trobat %d\n",clau); - exit(1); - } - -} - -template X llista::consultar(int clau) -{ - node *tmp; - int trobat=0; - X element; - - tmp=primer->get_successor(); - - while(!trobat && tmp!=NULL) { - if(clau==tmp->get_clau()) { - trobat=1; - element=tmp->get_element(); - } - else tmp=tmp->get_successor(); - } - if(!trobat) { -#ifndef _WINDOWS - fprintf(stderr,"llista:consultar:no trobat %d\n",clau); - exit(1); -#else - CString m_str; - m_str.Format("Llista:consultar:no trobat %d",clau); - AfxMessageBox(m_str); -#endif - } - return element; -} - - -template int llista::hi_ha_param(int clau) -{ -#define TRUE 1 -#define FALSE 0 - - node *tmp; - int trobat=FALSE; - - tmp=primer->get_successor(); - - while(!trobat && tmp!=NULL) { - if(clau==tmp->get_clau()) { - trobat=TRUE; - } - else tmp=tmp->get_successor(); - } - return trobat; -} - - -#endif diff --git a/comparison_algs_src/postprocessing/macros_sse.h b/comparison_algs_src/postprocessing/macros_sse.h deleted file mode 100644 index 4e9db0c..0000000 --- a/comparison_algs_src/postprocessing/macros_sse.h +++ /dev/null @@ -1,122 +0,0 @@ -#ifndef _MACROS_SSE_ -#define _MACROS_SSE_ - -/*typedef int __v2di __attribute__ ((mode (V2DI),aligned(8))); -typedef int __v4si __attribute__ ((mode (V4SI),aligned(8))); -typedef int __v16qi __attribute__ ((mode (V16QI),aligned(8))); -#define __m128i __v2di - -typedef float __v4sf __attribute__ ((__mode__(__V4SF__))); -typedef float __m128 __attribute__ ((__mode__(__V4SF__))); - -#define _MM_SHUFFLE(fp3,fp2,fp1,fp0) \ - (((fp3) << 6) | ((fp2) << 4) | ((fp1) << 2) | (fp0)) - -static __inline __m128 -_mm_load_ps (float const *__P) -{ - return (__m128) __builtin_ia32_loadaps (__P); -} - -static __inline __m128 -_mm_set1_ps (float __F) -{ - __v4sf __tmp = __builtin_ia32_loadss (&__F); - return (__m128) __builtin_ia32_shufps (__tmp, __tmp, _MM_SHUFFLE (0,0,0,0)); -} - -static __inline __m128 -_mm_set_ps1 (float __F) -{ - return _mm_set1_ps (__F); -} - -static __inline __m128 -_mm_sub_ps (__m128 __A, __m128 __B) -{ - return (__m128) __builtin_ia32_subps ((__v4sf)__A, (__v4sf)__B); -} - -static __inline void -_mm_store_ps (float *__P, __m128 __A) -{ - __builtin_ia32_storeaps (__P, (__v4sf)__A); -} - - - -static __inline __m128 -_mm_cmpgt_ps (__m128 __A, __m128 __B) -{ - return (__m128) __builtin_ia32_cmpgtps ((__v4sf)__A, (__v4sf)__B); -} - -static __inline __m128i -_mm_or_si128 (__m128i __A, __m128i __B) -{ - return (__m128i)__builtin_ia32_por128 ((__v2di)__A, (__v2di)__B); -} - -static __inline __m128 -_mm_andnot_ps (__m128 __A, __m128 __B) -{ - return __builtin_ia32_andnps (__A, __B); -} - -static __inline __m128i -_mm_andnot_si128 (__m128i __A, __m128i __B) -{ - return (__m128i)__builtin_ia32_pandn128 ((__v2di)__A, (__v2di)__B); -} - -static __inline __m128i -_mm_and_si128 (__m128i __A, __m128i __B) -{ - return (__m128i)__builtin_ia32_pand128 ((__v2di)__A, (__v2di)__B); -} - -static __inline int -_mm_movemask_epi8 (__m128i __A) -{ - return __builtin_ia32_pmovmskb128 ((__v16qi)__A); -} - -static __inline int -_mm_movemask_ps (__m128 __A) -{ - return __builtin_ia32_movmskps ((__v4sf)__A); -}*/ - -#define VEC_MATCH(vecFLB,fLB,vecFUB,fUB,vecINS,fIN,vecTmp,vecOne,vecRes) {\ - vecFLB = _mm_load_ps(fLB);\ - vecFUB = _mm_load_ps(fUB);\ - vecINS = _mm_load_ps(fIN);\ - \ - vecRes = (__m128i)_mm_cmpgt_ps(vecFUB,vecFLB);\ - vecTmp = _mm_or_si128(\ - (__m128i)_mm_cmpgt_ps(vecFLB,vecINS),\ - (__m128i)_mm_cmpgt_ps(vecINS,vecFUB)\ - );\ - vecRes = _mm_andnot_si128(_mm_and_si128(vecRes,vecTmp),vecOne);\ -} - -#define VEC_MATCH2(vecRule,Rule,vecIns,Ins,vecABS,vecRes) {\ - vecRule = _mm_load_ps(Rule);\ - vecIns = _mm_load_ps(Ins);\ - \ - vecIns = _mm_andnot_ps(vecABS,vecIns);\ - vecRes = _mm_cmpgt_ps(vecIns,vecRule);\ -} - - - -#define VEC_TRANS(vRule,rule,vIns,ins) {\ - vRule = _mm_load_ps(rule);\ - vIns = _mm_load_ps(ins);\ - vIns = _mm_sub_ps(vIns,vRule);\ - _mm_store_ps(ins,vIns);\ -} - - - -#endif diff --git a/comparison_algs_src/postprocessing/main.cpp b/comparison_algs_src/postprocessing/main.cpp deleted file mode 100644 index 4eac328..0000000 --- a/comparison_algs_src/postprocessing/main.cpp +++ /dev/null @@ -1,114 +0,0 @@ -#include -#include -#include -#include -#include -#include -#include - -#include "configManagement.h" -#include "populationWrapper.h" -#include "classifierFitness.h" -#include "postprocessingOper.h" -#include "random.h" -#include "instanceSet.h" -#include "timersManagement.h" -#include "attributesInfo.h" -#include "lex_conf.h" -#include "timeManagement.h" -#include "timerMDL.h" -#include "messageBuffer.h" -#include "classifier_aggregated.h" -#include "classifier.h" - -using namespace std; - -int stop = 0; -messageBuffer mb; -attributesInfo ai; -configManagement cm; -instanceSet *is; -instanceSet *isTrain; -instanceSet *isTest; -timeManagement timeM; -Random rnd; -double percentageOfLearning = 0; -int lastIteration = 0; -int nodeRank; -int numTasks; - -extern timerMDL *tMDL; -float minAcc = 0.5; - -void handler(int sig) { - stop = 1; -} - - - -int main(int argc, char *argv[]) { - - if (argc < 4) { - fprintf(stderr, "Incorrect parameters\n" - "%s: [Test file] \n", argv[0]); - exit(1); - } - - parseConfig(argv[1]); - - rnd.dumpSeed(); - is = new instanceSet(argv[3], TRAIN); - - timersManagement timers; - - classifier_aggregated ruleSet; - ruleSet.readClassifiers(argv[2]); - - char phenotype[2000000]; - - // Printing statistics of train and test before altering - // the classifiers - if(cm.thereIsParameter(TRAIN_STATS_ENABLED)) { - int val = (int) cm.getParameter(TRAIN_STATS_ENABLED); - isTrain = new instanceSet(argv[3], TEST); - if(val == ALL || val == START) { - classifierStats(ruleSet, isTrain, "Train"); - } - } - - if(argc >= 5 && cm.thereIsParameter(TEST_STATS_ENABLED)) { - int val = (int) cm.getParameter(TEST_STATS_ENABLED); - isTest = new instanceSet(argv[4], TEST); - if(val == ALL || val == START) { - classifierStats(ruleSet, isTest, "Test"); - } - } - //Apply operators - applyPostProcessing(ruleSet); - - // Printing statistics of train and test after - // applying the operators - if(cm.thereIsParameter(TRAIN_STATS_ENABLED)) { - int val = (int) cm.getParameter(TRAIN_STATS_ENABLED); - if(val == ALL || val == END) { - classifierStats(ruleSet, isTrain, "Train"); - } - } - - if(argc >= 5 && cm.thereIsParameter(TEST_STATS_ENABLED)) { - int val = (int) cm.getParameter(TEST_STATS_ENABLED); - if(val == ALL || val == END) { - classifierStats(ruleSet, isTest, "Test"); - } - } - - //Printing new set of rules - ruleSet.dumpPhenotype(phenotype); - mb.printf("Phenotype: \n%s\n", phenotype); - - delete is; - delete isTest; - delete isTrain; - - return 0; -} diff --git a/comparison_algs_src/postprocessing/main.o b/comparison_algs_src/postprocessing/main.o deleted file mode 100644 index 979d865..0000000 Binary files a/comparison_algs_src/postprocessing/main.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/matchProfileAgent.cpp b/comparison_algs_src/postprocessing/matchProfileAgent.cpp deleted file mode 100644 index 7f84ebc..0000000 --- a/comparison_algs_src/postprocessing/matchProfileAgent.cpp +++ /dev/null @@ -1,114 +0,0 @@ -#include "matchProfileAgent.h" - -matchProfileAgent::matchProfileAgent(unsigned long long pNumInstances,int pRuleClass) -{ - numInstances=pNumInstances; - ruleClass=pRuleClass; - - listOK=new unsigned long long[numInstances]; - listKO=new unsigned long long[numInstances]; - numOK=numKO=0; -} - -matchProfileAgent::~matchProfileAgent() -{ - delete mapOK; - delete mapKO; - delete listOK; - delete listKO; -} - -void matchProfileAgent::generateProfiles() -{ - unsigned long long i; - - mapOK=new unsigned char[numInstances]; - mapKO=new unsigned char[numInstances]; - - bzero(mapOK,numInstances*sizeof(unsigned char)); - bzero(mapKO,numInstances*sizeof(unsigned char)); - - for(i=0; i -#include -#include -#include -#include "JVector.h" - -class messageBuffer { - JVector < char *>buffer; - int currentSize; - int enabled; - int dumpToFile; - int ignoreMessage; - FILE *fp; - - public: - messageBuffer() { - char *temp = new char[GRANULARITY]; - temp[0] = 0; - buffer.addElement(temp); - currentSize = 0; - enabled = 0; - dumpToFile = 0; - ignoreMessage=0; - } - - ~messageBuffer() { - flushBuffer(); - delete buffer.elementAt(0); - buffer.removeAllElements(); - } - - void ignoreMessages() { - ignoreMessage=1; - } - void allowMessages() { - ignoreMessage=0; - } - - void setFile(char *fileName) { - fp = fopen(fileName, "w"); - if (!fp) { - fprintf(stderr, "Could not open log file\n"); - exit(1); - } - dumpToFile = 1; - } - - inline void flushBuffer() { - while (buffer.size() > 1) { - char *temp = buffer.elementAt(0); - if(dumpToFile) { - fprintf(fp,"%s",temp); - fflush(fp); - } else { - ::printf("%s", temp); - fflush(stdout); - } - delete temp; - buffer.removeElementAt(0); - } - char *temp = buffer.elementAt(0); - if(dumpToFile) { - fprintf(fp,"%s",temp); - fflush(fp); - } else { - ::printf("%s", temp); - fflush(stdout); - } - temp[0] = 0; - currentSize = 0; - } - - - inline void addMessage(char *message) { - if (!enabled) { - if(dumpToFile) { - fprintf(fp,"%s",message); - fflush(fp); - } else { - ::printf("%s", message); - fflush(stdout); - } - return; - } - - int length = strlen(message); - while (currentSize + length >= GRANULARITY) { - strncat(buffer.lastElement(), message, - GRANULARITY - currentSize - 1); - message += GRANULARITY - currentSize - 1; - length -= GRANULARITY - currentSize - 1; - char *temp = new char[GRANULARITY]; - temp[0] = 0; - buffer.addElement(temp); - currentSize = 0; - } - strcat(buffer.lastElement(), message); - currentSize += length; - } - - inline void printf(const char *fmt, ...) { - - if(ignoreMessage) return; - /* Guess we need no more than 100 bytes. */ - int n, size = 1000; - char *p; - va_list ap; - p = (char *) malloc(size); - while (1) { - va_start(ap, fmt); - n = vsnprintf(p, size, fmt, ap); - va_end(ap); - - if (n > -1 && n < size) { - addMessage(p); - free(p); - return; - } - - if (n < 0) { - perror("vsnprintf failed"); - exit(1); - } - size = n + 1; - p = (char *) realloc(p, size); - } - - } - - - - inline void enable() { - enabled = 1; - } - - inline void disable() { - flushBuffer(); - enabled = 0; - } -}; - -#endif diff --git a/comparison_algs_src/postprocessing/mt19937ar-cok.cpp b/comparison_algs_src/postprocessing/mt19937ar-cok.cpp deleted file mode 100644 index 1776d82..0000000 --- a/comparison_algs_src/postprocessing/mt19937ar-cok.cpp +++ /dev/null @@ -1,242 +0,0 @@ -/* - A C-program for MT19937, with initialization improved 2002/2/10. - Coded by Takuji Nishimura and Makoto Matsumoto. - This is a faster version by taking Shawn Cokus's optimization, - Matthe Bellew's simplification, Isaku Wada's real version. - - Before using, initialize the state by using init_genrand(seed) - or init_by_array(init_key, key_length). - - Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, - All rights reserved. - - Redistribution and use in source and binary forms, with or without - modification, are permitted provided that the following conditions - are met: - - 1. Redistributions of source code must retain the above copyright - notice, this list of conditions and the following disclaimer. - - 2. Redistributions in binary form must reproduce the above copyright - notice, this list of conditions and the following disclaimer in the - documentation and/or other materials provided with the distribution. - - 3. The names of its contributors may not be used to endorse or promote - products derived from this software without specific prior written - permission. - - THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT - LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR - A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR - CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR - PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF - LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING - NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS - SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - - Any feedback is very welcome. - http://www.math.keio.ac.jp/matumoto/emt.html - email: matumoto@math.keio.ac.jp -*/ - -#include - -/* Period parameters */ -#define N 624 -#define M 397 -#define MATRIX_A 0x9908b0dfUL /* constant vector a */ -#define UMASK 0x80000000UL /* most significant w-r bits */ -#define LMASK 0x7fffffffUL /* least significant r bits */ -#define MIXBITS(u,v) ( ((u) & UMASK) | ((v) & LMASK) ) -#define TWIST(u,v) ((MIXBITS(u,v) >> 1) ^ ((v)&1UL ? MATRIX_A : 0UL)) - -static unsigned long state[N]; /* the array for the state vector */ -static int left = 1; -static int initf = 0; -static unsigned long *next; - -/* initializes state[N] with a seed */ -void init_genrand(unsigned long s) -{ - int j; - state[0]= s & 0xffffffffUL; - for (j=1; j> 30)) + j); - /* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */ - /* In the previous versions, MSBs of the seed affect */ - /* only MSBs of the array state[]. */ - /* 2002/01/09 modified by Makoto Matsumoto */ - state[j] &= 0xffffffffUL; /* for >32 bit machines */ - } - left = 1; initf = 1; -} - -/* initialize by an array with array-length */ -/* init_key is the array for initializing keys */ -/* key_length is its length */ -void init_by_array(unsigned long init_key[], unsigned long key_length) -{ - int i, j, k; - init_genrand(19650218UL); - i=1; j=0; - k = (N>key_length ? N : key_length); - for (; k; k--) { - state[i] = (state[i] ^ ((state[i-1] ^ (state[i-1] >> 30)) * 1664525UL)) - + init_key[j] + j; /* non linear */ - state[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */ - i++; j++; - if (i>=N) { state[0] = state[N-1]; i=1; } - if (j>=key_length) j=0; - } - for (k=N-1; k; k--) { - state[i] = (state[i] ^ ((state[i-1] ^ (state[i-1] >> 30)) * 1566083941UL)) - - i; /* non linear */ - state[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */ - i++; - if (i>=N) { state[0] = state[N-1]; i=1; } - } - - state[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */ - left = 1; initf = 1; -} - -static void next_state(void) -{ - unsigned long *p=state; - int j; - - /* if init_genrand() has not been called, */ - /* a default initial seed is used */ - if (initf==0) init_genrand(5489UL); - - left = N; - next = state; - - for (j=N-M+1; --j; p++) - *p = p[M] ^ TWIST(p[0], p[1]); - - for (j=M; --j; p++) - *p = p[M-N] ^ TWIST(p[0], p[1]); - - *p = p[M-N] ^ TWIST(p[0], state[0]); -} - -/* generates a random number on [0,0xffffffff]-interval */ -unsigned long genrand_int32(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return y; -} - -/* generates a random number on [0,0x7fffffff]-interval */ -long genrand_int31(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (long)(y>>1); -} - -/* generates a random number on [0,1]-real-interval */ -double genrand_real1(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (double)y * (1.0/4294967295.0); - /* divided by 2^32-1 */ -} - -/* generates a random number on [0,1)-real-interval */ -double genrand_real2(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return (double)y * (1.0/4294967296.0); - /* divided by 2^32 */ -} - -/* generates a random number on (0,1)-real-interval */ -double genrand_real3(void) -{ - unsigned long y; - - if (--left == 0) next_state(); - y = *next++; - - /* Tempering */ - y ^= (y >> 11); - y ^= (y << 7) & 0x9d2c5680UL; - y ^= (y << 15) & 0xefc60000UL; - y ^= (y >> 18); - - return ((double)y + 0.5) * (1.0/4294967296.0); - /* divided by 2^32 */ -} - -/* generates a random number on [0,1) with 53-bit resolution*/ -double genrand_res53(void) -{ - unsigned long a=genrand_int32()>>5, b=genrand_int32()>>6; - return(a*67108864.0+b)*(1.0/9007199254740992.0); -} -/* These real versions are due to Isaku Wada, 2002/01/09 added */ - -/* -int main(void) -{ - int i; - unsigned long init[4]={0x123, 0x234, 0x345, 0x456}, length=4; - init_by_array(init, length); - printf("1000 outputs of genrand_int32()\n"); - for (i=0; i<1000; i++) { - printf("%10lu ", genrand_int32()); - if (i%5==4) printf("\n"); - } - printf("\n1000 outputs of genrand_real2()\n"); - for (i=0; i<1000; i++) { - printf("%10.8f ", genrand_real2()); - if (i%5==4) printf("\n"); - } - - return 0; -}*/ diff --git a/comparison_algs_src/postprocessing/mt19937ar-cok.h b/comparison_algs_src/postprocessing/mt19937ar-cok.h deleted file mode 100644 index e8397ab..0000000 --- a/comparison_algs_src/postprocessing/mt19937ar-cok.h +++ /dev/null @@ -1,14 +0,0 @@ -#ifndef _MT19937_H_ -#define _MT19937_H_ - -void init_genrand(unsigned long s); -void init_by_array(unsigned long init_key[], unsigned long key_length); -//static void next_state(void); -unsigned long genrand_int32(void); -long genrand_int31(void); -double genrand_real1(void); -double genrand_real2(void); -double genrand_real3(void); -double genrand_res53(void); - -#endif diff --git a/comparison_algs_src/postprocessing/mtwist.cpp b/comparison_algs_src/postprocessing/mtwist.cpp deleted file mode 100644 index dfa0982..0000000 --- a/comparison_algs_src/postprocessing/mtwist.cpp +++ /dev/null @@ -1,957 +0,0 @@ -/* - * C library functions for generating pseudorandom numbers using the - * Mersenne Twist algorithm. See M. Matsumoto and T. Nishimura, - * "Mersenne Twister: A 623-Dimensionally Equidistributed Uniform - * Pseudo-Random Number Generator", ACM Transactions on Modeling and - * Computer Simulation, Vol. 8, No. 1, January 1998, pp 3--30. - * - * The Web page on the Mersenne Twist algorithm is at: - * - * http://www.math.keio.ac.jp/~matumoto/emt.html - * - * These functions were written by Geoffrey H. Kuenning, Claremont, CA. - * - * IMPORTANT NOTE: the Makefile must define two machine-specific - * variables to get optimum features and performance: - * - * MT_NO_INLINE should be defined if the compiler doesn't support - * the "inline" keyword. - * MT_NO_LONGLONG should be defined if the compiler doesn't support a - * "long long" type for 64-bit integers - * MT_MACHINE_BITS must be either 32 or 64, reflecting the natural - * size of the processor registers. If undefined, it - * will default to 32. - * - * The first two variables above are defined in an inverted sense - * because I expect that most compilers will support inline and - * long-long. By inverting the sense, this common case will require - * no special compiler flags. - * - * IMPORTANT NOTE: this software assumes that the inherent width of a - * "long" is 32 bits. If you are running on a machine that uses - * 64-bit longs, some of the declarations and code will have to be - * modified. - * - * This software is based on LGPL-ed code by Takuji Nishimura. It has - * also been heavily influenced by code written by Shawn Cokus, and - * somewhat influenced by code written by Richard J. Wagner. It is - * therefore also distributed under the LGPL: - * - * This library is free software; you can redistribute it and/or - * modify it under the terms of the GNU Library General Public License - * as published by the Free Software Foundation; either version 2 of - * the License, or (at your option) any later version. - * - * This library is distributed in the hope that it will be useful, but - * WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - * Library General Public License for more details. You should have - * received a copy of the GNU Library General Public License along - * with this library; if not, write to the Free Foundation, Inc., 59 - * Temple Place, Suite 330, Boston, MA 02111-1307 USA - * - * $Log: mtwist.cpp,v $ - * Revision 1.2 2008/10/17 15:23:28 jaume - * Changes changes changes..... - * - * Revision 1.1.1.1 2007/03/05 16:39:24 jaume - * initial import in ductsoup - * - * Revision 1.1.1.1 2006/06/22 09:59:11 jbacardit - * Initial import - * - * - * Revision 1.19 2003/09/11 05:55:19 geoff - * Get rid of some minor compiler warnings. - * - * Revision 1.18 2003/09/11 05:50:53 geoff - * Don't #define inline to nothing, since that breaks standard include - * files. Instead, use MT_INLINE as a synonym. - * - * Revision 1.17 2002/10/31 22:07:10 geoff - * Make WIN32 detection work with GCC as well as MS C - * - * Revision 1.16 2002/10/31 22:04:59 geoff - * Fix a typo in the WIN32 option - * - * Revision 1.15 2002/10/31 06:01:43 geoff - * Incorporate Joseph Brill's Windows-portability changes - * - * Revision 1.14 2002/10/30 07:39:53 geoff - * Reintroduce the old seeding functions (so that old code will still - * produce the same results), and give the new versions new names. - * - * Revision 1.13 2002/10/30 01:08:26 geoff - * Switch to M&T's new initialization method - * - * Revision 1.12 2001/06/18 05:40:12 geoff - * Prefix the compile options with MT_. - * - * Revision 1.11 2001/06/14 10:26:59 geoff - * Invert the sense of the #define flags so that the default is the - * normal case (if gcc is normal!). Also default MT_MACHINE_BITS to 32. - * - * Revision 1.10 2001/06/14 10:10:38 geoff - * Move the RNG functions into the header file so they can be inlined. - * Add saving/loading of state. Add a function that marks the PRNG as - * initialized while also calculating critical constants. Run the - * refresh routine whenever seed32 is called. Add functions to seed - * based on /dev/random or the time. - * - * Revision 1.9 2001/06/11 10:00:04 geoff - * Major changes to improve flexibility and performance, and to prepare - * for inlining. This code is about as fast as it can get without - * inlining the various PRNG functions. Add seed/goodseed/bestseed for - * seeding from random start values. Add the refresh routine a la Cokus, - * but optimize it by unrolling loops. Change getstate to return a - * complete state pointer, since knowing the position in the state vector - * is critical to restoring state. Add more macros to improve - * readability. Rename certain macros in preparation for inlining. Get - * rid of leftover optimizer-bug stuff. Stop using mtwist_guts.h; - * instead use direct code (via macros) and the refresh function. - * - * Revision 1.8 2001/04/23 08:36:03 geoff - * Move the #defined code into a header file to ease stepping with a debugger. - * - * Revision 1.7 2001/04/23 08:00:13 geoff - * Add code to work around optimizer bug - * - * Revision 1.6 2001/04/14 01:33:32 geoff - * Clarify the license - * - * Revision 1.5 2001/04/09 08:45:00 geoff - * Rename default_state to mt_default_state, and make it global so that - * the random-distribution code can use it. - * - * Revision 1.4 2001/04/07 23:24:11 geoff - * My guess in the commentary for the last delta was right: it's faster - * on a x86 to convert the two halves of the PRN to double, multiplying - * them by the appropriate value to scale them, and then add them as - * doubles. I suspect the reason is that there is no instruction to - * convert a 64-bit value directly to a double, so the work of building - * the long long (which isn't easy anyway, without assembly access) is - * worse than wasted. So add support for MT_MACHINE_BITS, and only go - * the via-long-long route on a true 64-bit machine. - * - * Revision 1.3 2001/04/07 23:09:38 geoff - * Get rid of MT_INLINE. Convert all of the code to use preprocessor - * macros for the guts of the PRNG code. Take advantage of the - * conversion to get rid of unnecessary calls initialization tests. Also - * clean up the generation of long-double pseudorandom numbers on - * machines that have the long long type (by converting first to a long - * long, then to a double, saving one floating-point operation). The - * latter change might be a mistake on 32-bit machines. The code is now - * much faster as a result of macro-izing. - * - * Revision 1.2 2001/04/07 22:21:41 geoff - * Make the long-double code a hair faster by always having a 64-bit - * conversion constant. Add commentary to the PRNG loop. - * - * Revision 1.1 2001/04/07 09:43:41 geoff - * Initial revision - * - */ - -#ifdef _WIN32 -#undef WIN32 -#define WIN32 -#endif /* _WIN32 */ - -#include -#include -#ifdef WIN32 -#include -#else /* WIN32 */ -#include -#endif /* WIN32 */ - -/* - * Before we include the Mersenne Twist header file, we must do a bit - * of magic setup. The code for actual random-number generation - * resides in that file rather than here. We need to arrange for the - * code to be compiled into this .o file, either because inlines - * aren't supported or because somebody might want to take a pointer - * to a function. We do so with a couple of careful #defines. - */ -#undef MT_NO_INLINE /* Ask for code to be compiled */ -#define MT_INLINE /* Disable the inline keyword */ -#define MT_EXTERN /* Generate real code for functions */ - -#include "mtwist.h" - -/* - * Table of contents: - */ -void mts_mark_initialized(mt_state* state); - /* Mark a PRNG state as initialized */ -void mts_seed32(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -void mts_seed32new(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -void mts_seedfull(mt_state* state, - unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for any gen. */ -void mts_seed(mt_state* state); - /* Choose seed from random input */ -void mts_goodseed(mt_state* state); - /* Choose seed from more random */ - /* ..input than mts_seed */ -static void mts_devseed(mt_state* state, const char* seed_dev); - /* Choose seed from a device */ -void mts_bestseed(mt_state* state); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow) */ -void mts_refresh(mt_state* state); - /* Generate 624 more random values */ -int mts_savestate(FILE* statefile, mt_state* state); - /* Save state to a file (ASCII) */ -int mts_loadstate(FILE* statefile, mt_state* state); - /* Load state from a file (ASCII) */ - -void mt_seed32(unsigned long seed); - /* Set random seed for default gen. */ -void mt_seed32new(unsigned long seed); - /* Set random seed for default gen. */ -void mt_seedfull(unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for default */ -void mt_seed(void); /* Choose seed from random input */ -void mt_goodseed(void); - /* Choose seed from more random */ - /* ..input than mts_seed */ -void mt_bestseed(void); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow) */ -extern mt_state* mt_getstate(void); - /* Get current state of default */ - /* ..generator */ -int mt_savestate(FILE* statefile); - /* Save state to a file (ASCII) */ -int mt_loadstate(FILE* statefile); - /* Load state from a file (ASCII) */ - - -/* - * The following values are fundamental parameters of the algorithm. - * With the exception of the two masks, all of them were found - * experimentally using methods described in Matsumoto and Nishimura's - * paper. They are exceedingly magic; don't change them. - */ - -/* MT_STATE_SIZE is defined in the header file. */ -#define RECURRENCE_OFFSET 397 /* Offset into state space for the */ - /* ..recurrence relation. The */ - /* ..recurrence mashes together two */ - /* ..values that are separated by */ - /* ..this offset in the state */ - /* ..space. */ -#define MATRIX_A 0x9908b0df /* Constant vector A for the */ - /* ..recurrence relation. The */ - /* ..mashed-together value is */ - /* ..multiplied by this vector to */ - /* ..get a new value that will be */ - /* ..stored into the state space. */ - -/* - * Width of a long. Don't change this even if your longs are 64 bits. - */ -#define BIT_WIDTH 32 /* Work with 32-bit words */ - -/* - * Masks for extracting the bits to be mashed together. The widths of these - * masks are also fundamental parameters of the algorithm, determined - * experimentally -- but of course the masks themselves are simply bit - * selectors. - */ -#define UPPER_MASK 0x80000000 /* Most significant w-r bits */ -#define LOWER_MASK 0x7fffffff /* Least significant r bits */ - -/* - * Macro to simplify code in the generation loop. This function - * combines the top bit of x with the bottom 31 bits of y. - */ -#define COMBINE_BITS(x, y) \ - (((x) & UPPER_MASK) | ((y) & LOWER_MASK)) - -/* - * Another generation-simplification macro. This one does the magic - * scrambling function. - */ -#define MATRIX_MULTIPLY(original, new) \ - ((original) ^ ((new) >> 1) \ - ^ matrix_decider[(new) & 0x1]) - -/* - * Parameters of Knuth's PRNG (Line 25, Table 1, p. 102 of "The Art of - * Computer Programming, Vol. 2, 2nd ed, 1981). - */ -#define KNUTH_MULTIPLIER_OLD \ - 69069 - -/* - * Parameters of Knuth's PRNG (p. 106 of "The Art of Computer - * Programming, Vol. 2, 3rd ed). - */ -#define KNUTH_MULTIPLIER_NEW \ - 1812433253ul -#define KNUTH_SHIFT 30 // Even on a 64-bit machine! - -/* - * Default 32-bit random seed if mts_seed32 wasn't called - */ -#define DEFAULT_SEED32_OLD \ - 4357 -#define DEFAULT_SEED32_NEW \ - 5489ul - -/* - * Where to get random numbers - */ -#define DEVRANDOM "/dev/random" -#define DEVURANDOM "/dev/urandom" - -/* - * Many applications need only a single PRNG, so it's a nuisance to have to - * specify a state. For those applications, we will provide a default - * state, and functions to use it. - */ -mt_state mt_default_state; - -/* - * To generate double-precision random numbers, we need to divide the result - * of mts_lrand or mts_llrand by 2^32 or 2^64, respectively. The quickest - * way to do that on most machines is to multiply by the inverses of those - * numbers. However, I don't trust the compiler to correctly convert the - * corresponding decimal constant. So we will compute the correct number at - * run time as part of initialization, which will produce a nice exact - * result. - */ -double mt_32_to_double; - /* Multiplier to convert long to dbl */ -double mt_64_to_double; - /* Mult'r to cvt long long to dbl */ - -/* - * In the recurrence relation, the new value is XORed with MATRIX_A only if - * the lower bit is nonzero. Since most modern machines don't like to - * branch, it's vastly faster to handle this decision by indexing into an - * array. The chosen bit is used as an index into the following vector, - * which produces either zero or MATRIX_A and thus the desired effect. - */ -static unsigned long matrix_decider[2] = - {0x0, MATRIX_A}; - -/* - * Mark a PRNG's state as having been initialized. This is the only - * way to set that field nonzero; that way we can be sure that the - * constants are set properly before the PRNG is used. - * - * As a side effect, set up some constants that the PRNG assumes are - * valid. These are calculated at initialization time rather than - * being written as decimal constants because I frankly don't trust - * the compiler's ASCII conversion routines. - */ -void mts_mark_initialized( - mt_state* state) /* State vector to mark initialized */ - { - int i; /* Power of 2 being calculated */ - - /* - * Figure out the proper multiplier for long-to-double conversion. We - * don't worry too much about efficiency, since the assumption is that - * initialization is vastly rarer than generation of random numbers. - */ - mt_32_to_double = 1.0; - for (i = 0; i < BIT_WIDTH; i++) - mt_32_to_double /= 2.0; - mt_64_to_double = mt_32_to_double; - for (i = 0; i < BIT_WIDTH; i++) - mt_64_to_double /= 2.0; - - state->initialized = 1; - } - -/* - * Initialize a Mersenne Twist PRNG from a 32-bit seed. - * - * According to Matsumoto and Nishimura's paper, the seed array needs to be - * filled with nonzero values. (My own interpretation is that there needs - * to be at least one nonzero value). They suggest using Knuth's PRNG from - * Line 25, Table 1, p.102, "The Art of Computer Programming," Vol. 2 (2nd - * ed.), 1981. I find that rather odd, since that particular PRNG is - * sensitive to having an initial seed of zero (there are many other PRNGs - * out there that have an additive component, so that a seed of zero does - * not generate a repeating-zero sequence). However, one thing I learned - * from reading Knuth is that you shouldn't second-guess mathematicians - * about PRNGs. Also, by following M & N's approach, we will be compatible - * with other implementations. So I'm going to stick with their version, - * with the single addition that a zero seed will be changed to their - * default seed. - */ -void mts_seed32( - mt_state* state, /* State vector to initialize */ - unsigned long seed) /* 32-bit seed to start from */ - { - int i; /* Loop index */ - - if (seed == 0) - seed = DEFAULT_SEED32_OLD; - - /* - * Fill the state vector using Knuth's PRNG. Be sure to mask down - * to 32 bits in case we're running on a machine with 64-bit - * longs. - */ - state->statevec[MT_STATE_SIZE - 1] = seed & 0xffffffff; - for (i = MT_STATE_SIZE - 2; i >= 0; i--) - state->statevec[i] = - (KNUTH_MULTIPLIER_OLD * state->statevec[i + 1]) & 0xffffffff; - - state->stateptr = MT_STATE_SIZE; - mts_mark_initialized(state); - - /* - * Matsumoto and Nishimura's implementation refreshes the PRNG - * immediately after running the Knuth algorithm. This is - * probably a good thing, since Knuth's PRNG doesn't generate very - * good numbers. - */ - mts_refresh(state); - } - -/* - * Initialize a Mersenne Twist PRNG from a 32-bit seed, using - * Matsumoto and Nishimura's newer reference implementation (Jan. 9, - * 2002). - */ -void mts_seed32new( - mt_state* state, /* State vector to initialize */ - unsigned long seed) /* 32-bit seed to start from */ - { - int i; /* Loop index */ - unsigned long nextval; /* Next value being calculated */ - - /* - * Fill the state vector using Knuth's PRNG. Be sure to mask down - * to 32 bits in case we're running on a machine with 64-bit - * longs. - */ - state->statevec[MT_STATE_SIZE - 1] = seed & 0xffffffffUL; - for (i = MT_STATE_SIZE - 2; i >= 0; i--) - { - nextval = state->statevec[i + 1] >> KNUTH_SHIFT; - nextval ^= state->statevec[i + 1]; - nextval *= KNUTH_MULTIPLIER_NEW; - nextval += (MT_STATE_SIZE - 1) - i; - state->statevec[i] = nextval & 0xffffffffUL; - } - - state->stateptr = MT_STATE_SIZE; - mts_mark_initialized(state); - - /* - * Matsumoto and Nishimura's implementation refreshes the PRNG - * immediately after running the Knuth algorithm. This is - * probably a good thing, since Knuth's PRNG doesn't generate very - * good numbers. - */ - mts_refresh(state); - } - -/* - * Initialize a Mersenne Twist RNG from a 624-long seed. - * - * The 32-bit seeding routine given by Matsumoto and Nishimura has the - * drawback that there are only 2^32 different PRNG sequences that can be - * generated by calling that function. This function solves that problem by - * allowing a full 624*32-bit state to be given. (Note that 31 bits of the - * given state are ignored; see the paper for details.) - * - * Since an all-zero state would cause the PRNG to cycle, we detect - * that case and abort the program (silently, since there is no - * portable way to produce a message in both C and C++ environments). - * An alternative would be to artificially force the state to some - * known nonzero value. However, I feel that if the user is providing - * a full state, it's a bug to provide all zeros and we we shouldn't - * conceal the bug by generating apparently correct output. - */ -void mts_seedfull( - mt_state* state, /* State vector to initialize */ - unsigned long seeds[MT_STATE_SIZE]) - /* Seed array to start from */ - { - int had_nz = 0; /* NZ if at least one NZ seen */ - int i; /* Loop index */ - - for (i = 0; i < MT_STATE_SIZE; i++) - { - if (seeds[i] != 0) - had_nz = 1; - state->statevec[MT_STATE_SIZE - i - 1] = seeds[i]; - } - - if (!had_nz) - { - /* - * It would be nice to abort with a message. Unfortunately, fprintf - * isn't compatible with all implementations of C++. In the - * interest of C++ compatibility, therefore, we will simply abort - * silently. It will unfortunately be up to a programmer to run - * under a debugger (or examine the core dump) to discover the cause - * of the abort. - */ - abort(); - } - - state->stateptr = MT_STATE_SIZE; - mts_mark_initialized(state); - } - -/* - * Choose a seed based on some moderately random input. Prefers - * /dev/urandom as a source of random numbers, but uses the lower bits - * of the current time if /dev/urandom is not available. In any case, - * only provides 32 bits of entropy. - */ -void mts_seed( - mt_state* state) /* State vector to seed */ - { - mts_devseed(state, DEVURANDOM); - } - -/* - * Choose a seed based on some fairly random input. Prefers - * /dev/random as a source of random numbers, but uses the lower bits - * of the current time if /dev/random is not available. In any case, - * only provides 32 bits of entropy. - */ -void mts_goodseed( - mt_state* state) /* State vector to seed */ - { - mts_devseed(state, DEVRANDOM); - } - -/* - * Choose a seed based on a random-number device given by the caller. - * If that device can't be opened, use the lower 32 bits from the - * current time. - */ -static void mts_devseed( - mt_state* state, /* State vector to seed */ - const char* seed_dev) /* Device to seed from */ - { - int bytesread; /* Byte count read from device */ - int nextbyte; /* Index of next byte to read */ - FILE* ranfile; /* Access to device */ - union - { - char ranbuffer[sizeof (unsigned long)]; - /* Space for reading random int */ - unsigned long randomvalue; /* Random value for initialization */ - } - randomunion; /* Union for reading random int */ -#ifdef WIN32 - struct _timeb tb; /* Time of day (Windows mode) */ -#else /* WIN32 */ - struct timeval tv; /* Time of day */ - struct timezone tz; /* Dummy for gettimeofday */ -#endif /* WIN32 */ - - ranfile = fopen(seed_dev, "rb"); - if (ranfile != NULL) - { - for (nextbyte = 0; - nextbyte < (int)sizeof randomunion.ranbuffer; - nextbyte += bytesread) - { - bytesread = fread(&randomunion.ranbuffer[nextbyte], 1, - sizeof randomunion.ranbuffer - nextbyte, ranfile); - if (bytesread == 0) - break; - } - fclose(ranfile); - if (nextbyte == sizeof randomunion.ranbuffer) - { - mts_seed32new(state, randomunion.randomvalue); - return; - } - } - - /* - * The device isn't available. Use the time. We will - * assume that the time of day is accurate to microsecond - * resolution, which is true on most modern machines. - */ -#ifdef WIN32 - (void) _ftime (&tb); -#else /* WIN32 */ - (void) gettimeofday (&tv, &tz); -#endif /* WIN32 */ - - /* - * We just let the excess part of the seconds field overflow - */ -#ifdef WIN32 - randomunion.randomvalue = tb.time * 1000 + tb.millitm; -#else /* WIN32 */ - randomunion.randomvalue = tv.tv_sec * 1000000 + tv.tv_usec; -#endif /* WIN32 */ - mts_seed32new(state, randomunion.randomvalue); - } - -/* - * Choose a seed based on the best random input available. Prefers - * /dev/random as a source of random numbers, and reads the entire - * 624-long state from that device. Because of this approach, the - * function can take a long time (in real time) to complete, since - * /dev/random may have to wait quite a while before it can provide - * that much randomness. If /dev/random is unavailable, falls back to - * calling mts_goodseed. - */ -void mts_bestseed( - mt_state* state) /* State vector to seed */ - { - int bytesread; /* Byte count read from device */ - int nextbyte; /* Index of next byte to read */ - FILE* ranfile; /* Access to device */ - - ranfile = fopen("/dev/random", "rb"); - if (ranfile == NULL) - { - mts_goodseed(state); - return; - } - - for (nextbyte = 0; - nextbyte < (int)sizeof state->statevec; - nextbyte += bytesread) - { - bytesread = fread((char *)&state->statevec + nextbyte, 1, - sizeof state->statevec - nextbyte, ranfile); - if (bytesread == 0) - { - /* - * Something went wrong. Fall back to time-based seeding. - */ - fclose(ranfile); - mts_goodseed(state); - return; - } - } - } - -/* - * Generate 624 more random values. This function is called when the - * state vector has been exhausted. It generates another batch of - * pseudo-random values. The performance of this function is critical - * to the performance of the Mersenne Twist PRNG, so it has been - * highly optimized. - */ -void mts_refresh( - register mt_state* state) /* State for the PRNG */ - { - register int i; /* Index into the state */ - register unsigned long* - state_ptr; /* Next place to get from state */ - register unsigned long - value1; /* Scratch val picked up from state */ - register unsigned long - value2; /* Scratch val picked up from state */ - - /* - * Start by making sure a random seed has been set. If not, set - * one. - */ - if (!state->initialized) - { - mts_seed32(state, DEFAULT_SEED32_OLD); - return; /* Seed32 calls us recursively */ - } - - /* - * Now generate the new pseudorandom values by applying the - * recurrence relation. We use two loops and a final - * 2-statement sequence so that we can handle the wraparound - * explicitly, rather than having to use the relatively slow - * modulus operator. - * - * In essence, the recurrence relation concatenates bits - * chosen from the current random value (last time around) - * with the immediately preceding one. Then it - * matrix-multiplies the concatenated bits with a value - * RECURRENCE_OFFSET away and a constant matrix. The matrix - * multiplication reduces to a shift and two XORs. - * - * Some comments on the optimizations are in order: - * - * Strictly speaking, none of the optimizations should be - * necessary. All could conceivably be done by a really good - * compiler. However, the compilers available to me aren't quite - * smart enough, so hand optimization needs to be done. - * - * Shawn Cokus was the first to achieve a major speedup. In the - * original code, the first value given to COMBINE_BITS (in my - * characterization) was re-fetched from the state array, rather - * than being carried in a scratch variable. Cokus noticed that - * the first argument to COMBINE_BITS could be saved in a register - * in the previous loop iteration, getting rid of the need for an - * expensive memory reference. - * - * Cokus also switched to using pointers to access the state - * array and broke the original loop into two so that he could - * avoid using the expensive modulus operator. Cokus used three - * pointers; Richard J. Wagner noticed that the offsets between - * the three were constant, so that they could be collapsed into a - * single pointer and constant-offset accesses. This is clearly - * faster on x86 architectures, and is the same cost on RISC - * machines. A secondary benefit is that Cokus' version was - * register-starved on the x86, while Wagner's version was not. - * - * I made several smaller improvements to these observations. - * First, I reversed the contents of the state vector. In the - * current version of the code, this change doesn't directly - * affect the performance of the refresh loop, but it has the nice - * side benefit that an all-zero state structure represents an - * uninitialized generator. It also slightly speeds up the - * random-number routines, since they can compare the state - * pointer against zero instead of against a constant (this makes - * the biggest difference on RISC machines). - * - * Second, I returned to Matsumoto and Nishimura's original - * technique of using a lookup table to decide whether to xor the - * constant vector A (MATRIX_A in this code) with the newly - * computed value. Cokus and Wagner had used the ?: operator, - * which requires a test and branch. Modern machines don't like - * branches, so the table lookup is faster. - * - * Third, in the Cokus and Wagner versions the loop ends with a - * statement similar to "value1 = value2", which is necessary to - * carry the fetched value into the next loop iteration. I - * recognized that if the loop were unrolled so that it generates - * two values per iteration, a bit of variable renaming would get - * rid of that assignment. A nice side effect is that the - * overhead of loop control becomes only half as large. - * - * It is possible to improve the code's performance somewhat - * further. In particular, since the second loop's loop count - * factors into 2*2*3*3*11, it could be unrolled yet further. - * That's easy to do, too: just change the "/ 2" into a division - * by whatever factor you choose, and then use cut-and-paste to - * duplicate the code in the body. To remove a few more cycles, - * fix the code to decrement state_ptr by the unrolling factor, and - * adjust the various offsets appropriately. However, the payoff - * will be small. At the moment, the x86 version of the loop is - * 25 instructions, of which 3 are involved in loop control - * (including the decrementing of state_ptr). Further unrolling by - * a factor of 2 would thus produce only about a 6% speedup. - * - * The logical extension of the unrolling - * approach would be to remove the loops and create 624 - * appropriate copies of the body. However, I think that doing - * the latter is a bit excessive! - * - * I suspect that a superior optimization would be to simplify the - * mathematical operations involved in the recurrence relation. - * However, I have no idea whether such a simplification is - * feasible. - */ - state_ptr = &state->statevec[MT_STATE_SIZE - 1]; - value1 = *state_ptr; - for (i = (MT_STATE_SIZE - RECURRENCE_OFFSET) / 2; --i >= 0; ) - { - state_ptr -= 2; - value2 = state_ptr[1]; - value1 = COMBINE_BITS(value1, value2); - state_ptr[2] = - MATRIX_MULTIPLY(state_ptr[-RECURRENCE_OFFSET + 2], value1); - value1 = state_ptr[0]; - value2 = COMBINE_BITS(value2, value1); - state_ptr[1] = - MATRIX_MULTIPLY(state_ptr[-RECURRENCE_OFFSET + 1], value2); - } - value2 = *--state_ptr; - value1 = COMBINE_BITS(value1, value2); - state_ptr[1] = - MATRIX_MULTIPLY(state_ptr[-RECURRENCE_OFFSET + 1], value1); - - for (i = (RECURRENCE_OFFSET - 1) / 2; --i >= 0; ) - { - state_ptr -= 2; - value1 = state_ptr[1]; - value2 = COMBINE_BITS(value2, value1); - state_ptr[2] = - MATRIX_MULTIPLY(state_ptr[MT_STATE_SIZE - RECURRENCE_OFFSET + 2], - value2); - value2 = state_ptr[0]; - value1 = COMBINE_BITS(value1, value2); - state_ptr[1] = - MATRIX_MULTIPLY(state_ptr[MT_STATE_SIZE - RECURRENCE_OFFSET + 1], - value1); - } - - /* - * The final entry in the table requires the "previous" value - * to be gotten from the other end of the state vector, so it - * must be handled specially. - */ - value1 = COMBINE_BITS(value2, state->statevec[MT_STATE_SIZE - 1]); - *state_ptr = - MATRIX_MULTIPLY(state_ptr[MT_STATE_SIZE - RECURRENCE_OFFSET], value1); - - /* - * Now that refresh is complete, reset the state pointer to allow more - * pseudorandom values to be fetched from the state array. - */ - state->stateptr = MT_STATE_SIZE; - } - -/* - * Save state to a file. The save format is compatible with Richard - * J. Wagner's format, although the details are different. Returns NZ - * if the save succeeded. Produces one very long line containing 625 - * numbers. - */ -int mts_savestate( - FILE* statefile, /* File to save to */ - mt_state* state) /* State to be saved */ - { - int i; /* Next word to save */ - - if (!state->initialized) - mts_seed32(state, DEFAULT_SEED32_OLD); - - for (i = MT_STATE_SIZE; --i >= 0; ) - { - if (fprintf(statefile, "%lu ", state->statevec[i]) < 0) - return 0; - } - - if (fprintf(statefile, "%d\n", state->stateptr) < 0) - return 0; - - return 1; - } - -/* - * Load state from a file. Returns NZ if the load succeeded. - */ -int mts_loadstate( - FILE* statefile, /* File to load from */ - mt_state* state) /* State to be loaded */ - { - int i; /* Next word to load */ - - /* - * Set the state to "uninitialized" in case the load fails. - */ - state->initialized = state->stateptr = 0; - - for (i = MT_STATE_SIZE; --i >= 0; ) - { - if (fscanf(statefile, "%lu", &state->statevec[i]) != 1) - return 0; - } - - if (fscanf(statefile, "%d", &state->stateptr) != 1) - return 0; - - /* - * The only validity checking we can do is to insist that the - * state pointer be valid. - */ - if (state->stateptr < 0 || state->stateptr > MT_STATE_SIZE) - { - state->stateptr = 0; - return 0; - } - - mts_mark_initialized(state); - - return 1; - } - -/* - * Initialize the default Mersenne Twist PRNG from a 32-bit seed. - * - * See mts_seed32 for full commentary. - */ -void mt_seed32( - unsigned long seed) /* 32-bit seed to start from */ - { - mts_seed32(&mt_default_state, seed); - } - -/* - * Initialize the default Mersenne Twist PRNG from a 32-bit seed. - * - * See mts_seed32new for full commentary. - */ -void mt_seed32new( - unsigned long seed) /* 32-bit seed to start from */ - { - mts_seed32new(&mt_default_state, seed); - } - -/* - * Initialize a Mersenne Twist RNG from a 624-long seed. - * - * See mts_seedfull for full commentary. - */ -void mt_seedfull( - unsigned long seeds[MT_STATE_SIZE]) - { - mts_seedfull(&mt_default_state, seeds); - } - -/* - * Initialize the PRNG from random input. See mts_seed. - */ -void mt_seed() - { - mts_seed(&mt_default_state); - } - -/* - * Initialize the PRNG from random input. See mts_goodseed. - */ -void mt_goodseed() - { - mts_goodseed(&mt_default_state); - } - -/* - * Initialize the PRNG from random input. See mts_bestseed. - */ -void mt_bestseed() - { - mts_bestseed(&mt_default_state); - } - -/* - * Return a pointer to the current state of the PRNG. The purpose of - * this function is to allow the state to be saved for later - * restoration. The state should not be modified; instead, it should - * be reused later as a parameter to one of the mts_xxx functions. - */ -extern mt_state* mt_getstate() - { - return &mt_default_state; - } - -/* - * Save state to a file. The save format is compatible with Richard - * J. Wagner's format, although the details are different. - */ -int mt_savestate( - FILE* statefile) /* File to save to */ - { - return mts_savestate(statefile, &mt_default_state); - } - -/* - * Load state from a file. - */ -int mt_loadstate( - FILE* statefile) /* File to load from */ - { - return mts_loadstate(statefile, &mt_default_state); - } diff --git a/comparison_algs_src/postprocessing/mtwist.h b/comparison_algs_src/postprocessing/mtwist.h deleted file mode 100644 index d6d29fd..0000000 --- a/comparison_algs_src/postprocessing/mtwist.h +++ /dev/null @@ -1,834 +0,0 @@ -#ifndef MTWIST_H -#define MTWIST_H - -/* - * Header file for C/C++ use of the Mersenne-Twist pseudo-RNG. See - * http://www.math.keio.ac.jp/~matumoto/emt.html for full information. - * - * Author of this header file: Geoffrey H. Kuenning, March 18, 2001. - * - * IMPORTANT NOTE: the Makefile must define two machine-specific - * variables to get optimum features and performance: - * - * MT_NO_INLINE should be defined if the compiler doesn't support - * the "inline" keyword. - * MT_NO_LONGLONG should be defined if the compiler doesn't support a - * "long long" type for 64-bit integers - * MT_MACHINE_BITS must be either 32 or 64, reflecting the natural - * size of the processor registers. If undefined, it - * will default to a value calculated from limits.h. - * - * The first two variables above are defined in an inverted sense - * because I expect that most compilers will support inline and - * long-long. By inverting the sense, this common case will require - * no special compiler flags. - * - * IMPORTANT NOTE: this software assumes that the inherent width of a - * "long" is 32 bits. If you are running on a machine that uses - * 64-bit longs, some of the declarations and code will have to be - * modified. - * - * The executable part of this software is based on LGPL-ed code by - * Takuji Nishimura. The header file is therefore also distributed - * under the LGPL: - * - * This library is free software; you can redistribute it and/or - * modify it under the terms of the GNU Library General Public License - * as published by the Free Software Foundation; either version 2 of - * the License, or (at your option) any later version. - * - * This library is distributed in the hope that it will be useful, but - * WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - * Library General Public License for more details. You should have - * received a copy of the GNU Library General Public License along - * with this library; if not, write to the Free Foundation, Inc., 59 - * Temple Place, Suite 330, Boston, MA 02111-1307 USA - * - * $Log: mtwist.h,v $ - * Revision 1.1.1.1 2007/03/05 16:39:24 jaume - * initial import in ductsoup - * - * Revision 1.1.1.1 2006/06/22 09:59:09 jbacardit - * Initial import - * - * Revision 1.15 2003/09/11 23:56:20 geoff - * Allow stdio references in C++ files; it turns out that ANSI has - * blessed it. Declare the various functions as external even if they're - * inlined or being compiled directly (in mtwist.c). Get rid of a #ifdef - * that can't ever be true. - * - * Revision 1.14 2003/09/11 05:50:53 geoff - * Don't allow stdio references from C++, since they're not guaranteed to - * work on all compilers. Disable inlining using the MT_INLINE keyword - * rather than #defining inline, since doing the latter can affect other - * files and functions than our own. - * - * Revision 1.13 2003/07/01 23:29:29 geoff - * Refer to streams from the standard library using the correct namespace. - * - * Revision 1.12 2002/10/30 07:39:54 geoff - * Declare the new seeding functions. - * - * Revision 1.11 2001/06/19 00:41:16 geoff - * For consistency with other C++ types, don't put out a newline after - * the saved data. - * - * Revision 1.10 2001/06/18 10:09:24 geoff - * Fix some places where I forgot to set one of the result values. Make - * the C++ state vector protected so the random-distributions package can - * pass it to the C functions. - * - * Revision 1.9 2001/06/18 05:40:12 geoff - * Prefix the compile options with MT_. - * - * Revision 1.8 2001/06/14 10:26:59 geoff - * Invert the sense of the #define flags so that the default is the - * normal case (if gcc is normal!). Also default MT_MACHINE_BITS to 32. - * - * Revision 1.7 2001/06/14 10:10:38 geoff - * Move the critical-path PRNG code into the header file so that it can - * be inlined. Add saving/loading of state. Add functions to seed based - * on /dev/random or the time. Add the function-call operator in the C++ - * code. - * - * Revision 1.6 2001/06/11 10:00:04 geoff - * Add declarations of the refresh and /dev/random seeding functions. - * Change getstate to return a complete state pointer, since knowing the - * position in the state vector is critical to restoring the state. - * - * Revision 1.5 2001/04/23 08:36:03 geoff - * Remember to zero the state pointer when constructing, since otherwise - * proper initialization won't happen. - * - * Revision 1.4 2001/04/14 01:33:32 geoff - * Clarify the license - * - * Revision 1.3 2001/04/14 01:04:54 geoff - * Add a C++ class, mt_prng, that makes usage more convenient for C++ - * programmers. - * - * Revision 1.2 2001/04/09 08:45:00 geoff - * Fix the name in the #ifndef wrapper, and clean up some outdated comments. - * - * Revision 1.1 2001/04/07 09:43:41 geoff - * Initial revision - * - */ - -#include -#ifdef __cplusplus -#include -#endif /* __cplusplus */ - -#ifndef MT_MACHINE_BITS -#include -#if INT_MAX == 2147483647 -#define MT_MACHINE_BITS 32 -#else /* INT_MAX */ -#define MT_MACHINE_BITS 64 -#endif /* INT_MAX */ -#endif /* MT_MACHINE_BITS */ - -/* - * The following value is a fundamental parameter of the algorithm. - * It was found experimentally using methods described in Matsumoto - * and Nishimura's paper. It is exceedingly magic; don't change it. - */ -#define MT_STATE_SIZE 624 /* Size of the MT state vector */ - -/* - * Internal state for an MT RNG. The user can keep multiple mt_state - * structures around as a way of generating multiple streams of random - * numbers. - * - * In Matsumoto and Nishimura's original paper, the state vector was - * processed in a forward direction. I have reversed the state vector - * in this implementation. The reason for the reversal is that it - * allows the critical path to use a test against zero instead of a - * test against 624 to detect the need to refresh the state. on most - * machines, testing against zero is slightly faster. It also means - * that a state that has been set to all zeros will be correctly - * detected as needing initialization; this means that setting a state - * vector to zero (either with memset or by statically allocating it) - * will cause the RNG to operate properly. - */ -typedef struct - { - unsigned long statevec[MT_STATE_SIZE]; - /* Vector holding current state */ - int stateptr; /* Next state entry to be used */ - int initialized; /* NZ if state was initialized */ - } - mt_state; - -#ifdef __cplusplus -extern "C" - { -#endif - -/* - * Functions for manipulating any generator (given a state pointer). - */ -extern void mts_mark_initialized(mt_state* state); - /* Mark a PRNG state as initialized */ -extern void mts_seed32(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -extern void mts_seed32new(mt_state* state, unsigned long seed); - /* Set random seed for any generator */ -extern void mts_seedfull(mt_state* state, - unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for any gen. */ -extern void mts_seed(mt_state* state); - /* Choose seed from random input. */ - /* ..Prefers /dev/urandom; uses time */ - /* ..if /dev/urandom unavailable. */ - /* ..Only gives 32 bits of entropy. */ -extern void mts_goodseed(mt_state* state); - /* Choose seed from more random */ - /* ..input than mts_seed. Prefers */ - /* ../dev/random; uses time if that */ - /* ..is unavailable. Only gives 32 */ - /* ..bits of entropy. */ -extern void mts_bestseed(mt_state* state); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow). */ - /* ..Prefers /dev/random and reads */ - /* ..the entire state from there. */ - /* ..If /dev/random is unavailable, */ - /* ..falls back to mt_goodseed(). */ - /* ..Not usually worth the cost. */ -extern void mts_refresh(mt_state* state); - /* Generate 624 more random values */ -extern int mts_savestate(FILE* statefile, mt_state* state); - /* Save state to a file (ASCII). */ - /* ..Returns NZ if succeeded. */ -extern int mts_loadstate(FILE* statefile, mt_state* state); - /* Load state from a file (ASCII). */ - /* ..Returns NZ if succeeded. */ - -/* - * Functions for manipulating the default generator. - */ -extern void mt_seed32(unsigned long seed); - /* Set random seed for default gen. */ -extern void mt_seed32new(unsigned long seed); - /* Set random seed for default gen. */ -extern void mt_seedfull(unsigned long seeds[MT_STATE_SIZE]); - /* Set complicated seed for default */ -extern void mt_seed(void); /* Choose seed from random input. */ - /* ..Prefers /dev/urandom; uses time */ - /* ..if /dev/urandom unavailable. */ - /* ..Only gives 32 bits of entropy. */ -extern void mt_goodseed(void); - /* Choose seed from more random */ - /* ..input than mts_seed. Prefers */ - /* ../dev/random; uses time if that */ - /* ..is unavailable. Only gives 32 */ - /* ..bits of entropy. */ -extern void mt_bestseed(void); - /* Choose seed from extremely random */ - /* ..input (can be *very* slow). */ - /* ..Prefers /dev/random and reads */ - /* ..the entire state from there. */ - /* ..If /dev/random is unavailable, */ - /* ..falls back to mt_goodseed(). */ - /* ..Not usually worth the cost. */ -extern mt_state* mt_getstate(void); - /* Get current state of default */ - /* ..generator */ -extern int mt_savestate(FILE* statefile); - /* Save state to a file (ASCII) */ - /* ..Returns NZ if succeeded. */ -extern int mt_loadstate(FILE* statefile); - /* Load state from a file (ASCII) */ - /* ..Returns NZ if succeeded. */ - -#ifdef __cplusplus - } -#endif - -/* - * Functions for generating random numbers. The actual code of the - * functions is given in this file so that it can be declared inline. - * For compilers that don't have the inline feature, mtwist.c will - * incorporate this file with some clever #defining so that the code - * actually gets compiled. In that case, however, "extern" - * definitions will be needed here, so we give them. - */ -#ifdef __cplusplus -#undef MT_NO_INLINE /* C++ definitely has inlining */ -#endif /* __cplusplus */ - -extern unsigned long mts_lrand(mt_state* state); - /* Generate 32-bit value, any gen. */ -#ifndef MT_NO_LONGLONG -extern unsigned long long - mts_llrand(mt_state* state); - /* Generate 64-bit value, any gen. */ -#endif /* MT_NO_LONGLONG */ -extern double mts_drand(mt_state* state); - /* Generate floating value, any gen. */ - /* Fast, with only 32-bit precision */ -extern double mts_ldrand(mt_state* state); - /* Generate floating value, any gen. */ - /* Slower, with 64-bit precision */ - -extern unsigned long mt_lrand(void); /* Generate 32-bit random value */ -#ifndef MT_NO_LONGLONG -extern unsigned long long - mt_llrand(void); - /* Generate 64-bit random value */ -#endif /* MT_NO_LONGLONG */ -extern double mt_drand(void); - /* Generate floating value */ - /* Fast, with only 32-bit precision */ -extern double mt_ldrand(void); - /* Generate floating value */ - /* Slower, with 64-bit precision */ - -#ifndef MT_NO_INLINE -/* - * Tempering parameters. These are perhaps the most magic of all the magic - * values in the algorithm. The values are again experimentally determined. - * The values generated by the recurrence relation (constants above) are not - * equidistributed in 623-space. For some reason, the tempering process - * produces that effect. Don't ask me why. Read the paper if you can - * understand the math. Or just trust these magic numbers. - */ -#define MT_TEMPERING_MASK_B 0x9d2c5680 -#define MT_TEMPERING_MASK_C 0xefc60000 -#define MT_TEMPERING_SHIFT_U(y) \ - (y >> 11) -#define MT_TEMPERING_SHIFT_S(y) \ - (y << 7) -#define MT_TEMPERING_SHIFT_T(y) \ - (y << 15) -#define MT_TEMPERING_SHIFT_L(y) \ - (y >> 18) - -/* - * Macros to do the tempering. MT_PRE_TEMPER does all but the last step; - * it's useful for situations where the final step can be incorporated - * into a return statement. MT_FINAL_TEMPER does that final step (not as - * an assignment). MT_TEMPER does the entire process. Note that - * MT_PRE_TEMPER and MT_TEMPER both modify their arguments. - */ -#define MT_PRE_TEMPER(value) \ - do \ - { \ - value ^= MT_TEMPERING_SHIFT_U(value); \ - value ^= MT_TEMPERING_SHIFT_S(value) & MT_TEMPERING_MASK_B; \ - value ^= MT_TEMPERING_SHIFT_T(value) & MT_TEMPERING_MASK_C; \ - } \ - while (0) -#define MT_FINAL_TEMPER(value) \ - ((value) ^ MT_TEMPERING_SHIFT_L(value)) -#define MT_TEMPER(value) \ - do \ - { \ - value ^= MT_TEMPERING_SHIFT_U(value); \ - value ^= MT_TEMPERING_SHIFT_S(value) & MT_TEMPERING_MASK_B; \ - value ^= MT_TEMPERING_SHIFT_T(value) & MT_TEMPERING_MASK_C; \ - value ^= MT_TEMPERING_SHIFT_L(value); \ - } \ - while (0) - -extern mt_state mt_default_state; - /* State of the default generator */ -extern double mt_32_to_double; - /* Multiplier to convert long to dbl */ -extern double mt_64_to_double; - /* Mult'r to cvt long long to dbl */ - -/* - * In gcc, inline functions must be declared extern or they'll produce - * assembly code (and thus linking errors). We have to work around - * that difficulty with the MT_EXTERN define. - */ -#ifndef MT_EXTERN -#ifdef __cplusplus -#define MT_EXTERN /* C++ doesn't need static */ -#else /* __cplusplus */ -#define MT_EXTERN extern /* C (at least gcc) needs extern */ -#endif /* __cplusplus */ -#endif /* MT_EXTERN */ - -/* - * Make it possible for mtwist.c to disable the inline keyword. We - * use our own keyword so that we don't interfere with inlining in - * C/C++ header files, above. - */ -#ifndef MT_INLINE -#define MT_INLINE inline /* Compiler has inlining */ -#endif /* MT_INLINE */ - -/* - * Generate a random number in the range 0 to 2^32-1, inclusive, working - * from a given state vector. - * - * The generator is optimized for speed. The primary optimization is that - * the pseudorandom numbers are generated in batches of MT_STATE_SIZE. This - * saves the cost of a modulus operation in the critical path. - */ -MT_EXTERN MT_INLINE unsigned long mts_lrand( - register mt_state* state) /* State for the PRNG */ - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (state->stateptr <= 0) - mts_refresh(state); - - random_value = state->statevec[--state->stateptr]; - MT_PRE_TEMPER(random_value); - return MT_FINAL_TEMPER(random_value); - } - -#ifndef MT_NO_LONGLONG -/* - * Generate a random number in the range 0 to 2^64-1, inclusive, working - * from a given state vector. - * - * According to Matsumoto and Nishimura, such a number can be generated by - * simply concatenating two 32-bit pseudorandom numbers. Who am I to argue? - * - * Note that there is a slight inefficiency here: if the 624-entry state is - * recycled on the second call to mts_lrand, there will be an unnecessary - * check to see if the state has been initialized. The cost of that check - * seems small (since it happens only once every 624 random numbers, and - * never if only 64-bit numbers are being generated), so I didn't bother to - * optimize it out. Doing so would be messy, since it would require two - * nearly-identical internal implementations of mts_lrand. - */ -MT_EXTERN MT_INLINE unsigned long long mts_llrand( - register mt_state* state) /* State for the PRNG */ - { - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--state->stateptr <= 0) - { - if (state->stateptr < 0) - { - mts_refresh(state); - random_value_1 = state->statevec[--state->stateptr]; - } - else - { - random_value_1 = state->statevec[state->stateptr]; - mts_refresh(state); - } - } - else - random_value_1 = state->statevec[--state->stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = state->statevec[--state->stateptr]; - MT_PRE_TEMPER(random_value_2); - - return ((unsigned long long) random_value_1 << 32) - | (unsigned long long) MT_FINAL_TEMPER(random_value_2); - } -#endif /* MT_NO_LONGLONG */ - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function is optimized for speed, but it only generates - * 32 bits of precision. Use mts_ldrand to get 64 bits of precision. - */ -MT_EXTERN MT_INLINE double mts_drand( - register mt_state* state) /* State for the PRNG */ - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (state->stateptr <= 0) - mts_refresh(state); - - random_value = state->statevec[--state->stateptr]; - MT_TEMPER(random_value); - - return random_value * mt_32_to_double; - } - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function generates 64 bits of precision. Use - * mts_drand for more speed but less precision. - */ -MT_EXTERN MT_INLINE double mts_ldrand( - register mt_state* state) /* State for the PRNG */ - { -#if MT_MACHINE_BITS == 64 - unsigned long long final_value; /* Final (integer) value */ -#endif /* MT_MACHINE_BITS */ - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--state->stateptr <= 0) - { - if (state->stateptr < 0) - { - mts_refresh(state); - random_value_1 = state->statevec[--state->stateptr]; - } - else - { - random_value_1 = state->statevec[state->stateptr]; - mts_refresh(state); - } - } - else - random_value_1 = state->statevec[--state->stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = state->statevec[--state->stateptr]; - MT_TEMPER(random_value_2); - -#if MT_MACHINE_BITS == 64 - final_value = ((unsigned long long) random_value_1 << 32) - | (unsigned long long) random_value_2; - return final_value * mt_64_to_double; -#else /* MT_MACHINE_BITS */ - return random_value_1 * mt_32_to_double + random_value_2 * mt_64_to_double; -#endif /* MT_MACHINE_BITS */ - } - -/* - * Generate a random number in the range 0 to 2^32-1, inclusive, working - * from the default state vector. - * - * See mts_lrand for full commentary. - */ -MT_EXTERN MT_INLINE unsigned long mt_lrand() - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (mt_default_state.stateptr <= 0) - mts_refresh(&mt_default_state); - - random_value = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_PRE_TEMPER(random_value); - - return MT_FINAL_TEMPER(random_value); - } - -#ifndef MT_NO_LONGLONG -/* - * Generate a random number in the range 0 to 2^64-1, inclusive, working - * from the default state vector. - * - * See mts_llrand for full commentary. - */ -MT_EXTERN MT_INLINE unsigned long long mt_llrand() - { - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--mt_default_state.stateptr <= 0) - { - if (mt_default_state.stateptr < 0) - { - mts_refresh(&mt_default_state); - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - } - else - { - random_value_1 = - mt_default_state.statevec[mt_default_state.stateptr]; - mts_refresh(&mt_default_state); - } - } - else - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_PRE_TEMPER(random_value_2); - - return ((unsigned long long) random_value_1 << 32) - | (unsigned long long) MT_FINAL_TEMPER(random_value_2); - } -#endif /* MT_NO_LONGLONG */ - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function is optimized for speed, but it only generates - * 32 bits of precision. Use mt_ldrand to get 64 bits of precision. - */ -MT_EXTERN MT_INLINE double mt_drand() - { - register unsigned long - random_value; /* Pseudorandom value generated */ - - if (mt_default_state.stateptr <= 0) - mts_refresh(&mt_default_state); - - random_value = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_TEMPER(random_value); - - return random_value * mt_32_to_double; - } - -/* - * Generate a double-precision random number between 0 (inclusive) and 1.0 - * (exclusive). This function generates 64 bits of precision. Use - * mts_drand for more speed but less precision. - */ -MT_EXTERN MT_INLINE double mt_ldrand(void) - { -#if MT_MACHINE_BITS == 64 - unsigned long long final_value; /* Final (integer) value */ -#endif /* MT_MACHINE_BITS */ - register unsigned long - random_value_1; /* 1st pseudorandom value generated */ - register unsigned long - random_value_2; /* 2nd pseudorandom value generated */ - - /* - * For maximum speed, we'll handle the two overflow cases - * together. That will save us one test in the common case, at - * the expense of an extra one in the overflow case. - */ - if (--mt_default_state.stateptr <= 0) - { - if (mt_default_state.stateptr < 0) - { - mts_refresh(&mt_default_state); - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - } - else - { - random_value_1 = - mt_default_state.statevec[mt_default_state.stateptr]; - mts_refresh(&mt_default_state); - } - } - else - random_value_1 = - mt_default_state.statevec[--mt_default_state.stateptr]; - - MT_TEMPER(random_value_1); - - random_value_2 = mt_default_state.statevec[--mt_default_state.stateptr]; - MT_TEMPER(random_value_2); - -#if MT_MACHINE_BITS == 64 - final_value = ((unsigned long long) random_value_1 << 32) - | (unsigned long long) random_value_2; - return final_value * mt_64_to_double; -#else /* MT_MACHINE_BITS */ - return random_value_1 * mt_32_to_double + random_value_2 * mt_64_to_double; -#endif /* MT_MACHINE_BITS */ - } - -#endif /* MT_NO_INLINE */ - -#ifdef __cplusplus -/* - * C++ interface to the Mersenne Twist PRNG. This class simply - * provides a more C++-ish way to access the PRNG. Only state-based - * functions are provided. All functions are inlined, both for speed - * and so that the same implementation code can be used in C and C++. - */ -class mt_prng - { - public: - /* - * Constructors and destructors. The default constructor - * leaves initialization (seeding) for later unless pickSeed - * is true, in which case the seed is chosen based on either - * /dev/urandom (if available) or the system time. The other - * constructors accept either a 32-bit seed, or a full - * 624-long seed. - */ - mt_prng( // Default constructor - bool pickSeed = false) - // True to get seed from /dev/urandom - // ..or time - { - state.stateptr = 0; - state.initialized = 0; - if (pickSeed) - mts_seed(&state); - } - mt_prng(unsigned long seed) - // Construct with 32-bit seeding - { - state.stateptr = 0; - state.initialized = 0; - mts_seed32(&state, seed); - } - mt_prng(unsigned long seeds[MT_STATE_SIZE]) - // Construct with full seeding - { - state.stateptr = 0; - state.initialized = 0; - mts_seedfull(&state, seeds); - } - ~mt_prng() { } - - /* - * Copy and assignment are best left defaulted. - */ - - /* - * PRNG seeding functions. - */ - void seed32(unsigned long seed) - // Set 32-bit random seed - { - mts_seed32(&state, seed); - } - void seed32new(unsigned long seed) - // Set 32-bit random seed - { - mts_seed32new(&state, seed); - } - void seedfull(unsigned long seeds[MT_STATE_SIZE]) - // Set complicated random seed - { - mts_seedfull(&state, seeds); - } - void seed() // Choose seed from random input - { - mts_seed(&state); - } - void goodseed() // Choose better seed from random input - { - mts_goodseed(&state); - } - void bestseed() // Choose best seed from random input - { - mts_bestseed(&state); - } - friend std::ostream& - operator<<(std::ostream& stream, const mt_prng& rng); - friend std::istream& - operator>>(std::istream& stream, mt_prng& rng); - - /* - * PRNG generation functions - */ - unsigned long lrand() // Generate 32-bit pseudo-random value - { - return mts_lrand(&state); - } -#ifndef MT_NO_LONGLONG - unsigned long long - llrand() // Generate 64-bit pseudo-random value - { - return mts_llrand(&state); - } -#endif /* MT_NO_LONGLONG */ - double drand() // Generate fast 32-bit floating value - { - return mts_drand(&state); - } - double ldrand() // Generate slow 64-bit floating value - { - return mts_ldrand(&state); - } - - /* - * Following Richard J. Wagner's example, we overload the - * function-call operator to return a 32-bit floating value. - * That allows the common use of the PRNG to be simplified as - * in the following example: - * - * mt_prng ranno(true); - * // ... - * coinFlip = ranno() >= 0.5 ? heads : tails; - */ - double operator()() - { - return mts_drand(&state); - } - protected: - /* - * Protected data - */ - mt_state state; // Current state of the PRNG - }; - -/* - * Save state to a stream. See mts_savestate. - */ -MT_INLINE std::ostream& operator<<( - std::ostream& stream, // Stream to save to - const mt_prng& rng) // PRNG to save - { - for (int i = MT_STATE_SIZE; --i >= 0; ) - { - if (!(stream << rng.state.statevec[i] << ' ')) - return stream; - } - - return stream << rng.state.stateptr; - } - -/* - * Restore state from a stream. See mts_loadstate. - */ -MT_INLINE std::istream& operator>>( - std::istream& stream, // Stream to laod from - mt_prng& rng) // PRNG to load - { - rng.state.initialized = rng.state.stateptr = 0; - for (int i = MT_STATE_SIZE; --i >= 0; ) - { - if (!(stream >> rng.state.statevec[i])) - return stream; - } - - if (!(stream >> rng.state.stateptr)) - { - rng.state.stateptr = 0; - return stream; - } - - /* - * If the state is invalid, all we can do is to make it uninitialized. - */ - if (rng.state.stateptr < 0 || rng.state.stateptr > MT_STATE_SIZE) - { - rng.state.stateptr = 0; - return stream; - } - - mts_mark_initialized(&rng.state); - - return stream; - } -#endif - -#endif /* MTWIST_H */ diff --git a/comparison_algs_src/postprocessing/mtwist.o b/comparison_algs_src/postprocessing/mtwist.o deleted file mode 100644 index 1341a6b..0000000 Binary files a/comparison_algs_src/postprocessing/mtwist.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/populationWrapper.cpp b/comparison_algs_src/postprocessing/populationWrapper.cpp deleted file mode 100644 index 2dcd62d..0000000 --- a/comparison_algs_src/postprocessing/populationWrapper.cpp +++ /dev/null @@ -1,146 +0,0 @@ -#include "populationWrapper.h" -#include - -populationWrapper::populationWrapper(int pPopSize, int balanced) -{ - cf=new classifierFactory; - ga=new geneticAlgorithm(cf, balanced); - popSize = pPopSize; -} - -populationWrapper::~populationWrapper() -{ - if (ga != NULL) delete ga; - if (cf != NULL) delete cf; -} - -void populationWrapper::activateModifiedFlag() -{ - int i; - - rank *rk=ga->getPopulationRank(); - for(i=0;iactivateModified(); - ga->resetBest(); -} - -rank *populationWrapper::getPopulationRank() -{ - int i; - - return ga->getPopulationRank(); -} - -void populationWrapper::doFitnessCalculations() { - ga->doFitnessComputations(); -} - -void populationWrapper::createPopulationRank() { - ga->createPopulationRank(); -} - - -void populationWrapper::releasePopulation() -{ - ga->destroyPopulation(); -} - -classifier *populationWrapper::getBestOverall() -{ - return (classifier *)ga->getBest(); -} - -classifier **populationWrapper::getPopulation() -{ - return (classifier **)ga->getPopulation(); -} - - -classifier *populationWrapper::getBestPopulation() -{ - rank *rk=ga->getPopulationRank(); - return (classifier *)rk[0].ind; -} - -classifier *populationWrapper::getWorstPopulation() -{ - rank *rk=ga->getPopulationRank(); - return (classifier *)rk[popSize - 1].ind; -} - -double populationWrapper::getAverageLength() -{ - int i; - double ave=0; - - rank *rk=ga->getPopulationRank(); - - for(i=0;igetLength(); - - return ave/(double)popSize; -} - -void populationWrapper::getAverageDevAccuracy(double &ave,double &dev) -{ - int i; - ave=0; - dev=0; - - rank *rk=ga->getPopulationRank(); - - for(i=0;igetAccuracy(); - ave+=acc; - dev+=(acc*acc); - } - dev-=(ave*ave)/(double)popSize; - dev/=(double)(popSize-1); - dev=sqrt(dev); - ave/=(double)popSize; -} - -void populationWrapper::getAverageAccuracies(double &ave1,double &ave2) -{ - int i; - ave1=0; - ave2=0; - rank *rk=ga->getPopulationRank(); - - for(i=0;igetAccuracy(); - ave2+=((classifier *)rk[i].ind)->getAccuracy2(); - } - - ave1/=(double)popSize; - ave2/=(double)popSize; -} - - -double populationWrapper::getMaxAccuracy() -{ - int i; - - rank *rk=ga->getPopulationRank(); - double max=((classifier *)rk[0].ind)->getAccuracy(); - - for(i=1;igetAccuracy(); - if(percen>max) max=percen; - } - - return max; -} - -classifier *populationWrapper::cloneClassifier(classifier *orig,int son) -{ - return cf->cloneClassifier(orig,son); -} - -classifier *populationWrapper::createClassifier(int empty) -{ - return cf->createClassifier(empty); -} - -void populationWrapper::destroyClassifier(classifier *orig) -{ - cf->deleteClassifier(orig); -} diff --git a/comparison_algs_src/postprocessing/populationWrapper.h b/comparison_algs_src/postprocessing/populationWrapper.h deleted file mode 100644 index e5f9c44..0000000 --- a/comparison_algs_src/postprocessing/populationWrapper.h +++ /dev/null @@ -1,38 +0,0 @@ -#ifndef _POPULATION_WRAPPER_H_ -#define _POPULATION_WRAPPER_H_ - -#include "ga.h" - -class classifier; - - -class populationWrapper { - geneticAlgorithm *ga; - classifierFactory *cf; - -public: - int popSize; - populationWrapper(int popSize, int balanced=0); - ~populationWrapper(); - void activateModifiedFlag(); - void doFitnessCalculations(); - void createPopulationRank(); - void dumpPopulation(); - classifier *getBestOverall(); - classifier *getBestPopulation(); - classifier *getWorstPopulation(); - classifier **getPopulation(); - void releasePopulation(); - rank *getPopulationRank(); - double getAverageLength(); - double getAverageElements(); - double getAverageAliveElements(); - void getAverageDevAccuracy(double &ave,double &dev); - void getAverageAccuracies(double &ave1,double &ave2); - double getMaxAccuracy(); - classifier *cloneClassifier(classifier *orig,int son=0); - void destroyClassifier(classifier *orig); - classifier *createClassifier(int empty=0); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/populationWrapper.o b/comparison_algs_src/postprocessing/populationWrapper.o deleted file mode 100644 index 393d0c7..0000000 Binary files a/comparison_algs_src/postprocessing/populationWrapper.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/postprocess b/comparison_algs_src/postprocessing/postprocess deleted file mode 100755 index fd84866..0000000 Binary files a/comparison_algs_src/postprocessing/postprocess and /dev/null differ diff --git a/comparison_algs_src/postprocessing/postprocessingOper.cpp b/comparison_algs_src/postprocessing/postprocessingOper.cpp deleted file mode 100644 index 54b8aa2..0000000 --- a/comparison_algs_src/postprocessing/postprocessingOper.cpp +++ /dev/null @@ -1,102 +0,0 @@ -#include "classifier_aggregated.h" -#include "postprocessingOper.h" - -extern configManagement cm; - -void applyPostProcessing(classifier_aggregated & ind) { - - int oper[6] = {OPERATOR1_POLICY,OPERATOR2_POLICY,OPERATOR3_POLICY,OPERATOR4_POLICY,OPERATOR5_POLICY,OPERATOR6_POLICY}; - - for(int i=0; i<6; i++) { - if(cm.thereIsParameter(oper[i])) { - switch ((int) cm.getParameter(oper[i])) { - case CL: - ind.attributeCleaning(); - break; - case CL2: - ind.attributeCleaning2(); - break; - case PR: - ind.attributePrunning2(); - break; - case SW: - ruleSetShake(ind); - break; - case NONE: - default: - break; - - } - } - } -} - -void attributePrunning(classifier_aggregated & ind) { - ind.attributePrunning(); -} - -void attributePrunning2(classifier_aggregated & ind) { - ind.attributePrunning2(); -} - -void attributeCleaning(classifier_aggregated & ind) { - ind.attributeCleaning(); -} - -void attributeCleaning2(classifier_aggregated & ind) { - ind.attributeCleaning2(); -} - -void ruleSetShake(classifier_aggregated & ind) { - - agentPerformance ap = calculateAgentPerformance(ind); - - ind.setAccuracy(ap.getAccuracy()); - int initial = ind.getNumClassifiers(); - char phenotype[2000000]; - - double accuracy = ap.getAccuracy(); - - printf("Rule swapping\n"); - - int n = ind.getNumClassifiers() - 1; - for (int i = 0; i < n - 1; i++) { - int index = ind.shake(i); - - printf("Trying swap %d and %d\n", i, index); - - if (index > 0) { - agentPerformance ap2 = calculateAgentPerformance(ind); - - if (ap2.getAccuracy() < accuracy) { - ind.revertSwap(i, index); - } else { - printf("swap between %d and %d\n", i, index); - int m = n; - JVector removedIndex; - - for (int j = i; j < m; j++) { - if (ap2.getActivationsOfClassifier(j) <= 0) { - removedIndex.addElement(j); - } - } - - for (int j = 0; j < removedIndex.size(); j++) { - printf("Eliminando classificador %d\n", removedIndex[j]); - ind.removeElementAt(removedIndex[j]-j); - n--; - } - - accuracy = ap2.getAccuracy(); - - } - - } - } - - ind.dumpPhenotype(phenotype); - mb.printf("Phenotype after rule swap: \n%s\n", phenotype); - printf("Number of rules: Initial %d Final %d\n", initial, - ind.getNumClassifiers()); - //delete is; -} diff --git a/comparison_algs_src/postprocessing/postprocessingOper.h b/comparison_algs_src/postprocessing/postprocessingOper.h deleted file mode 100644 index 44affc9..0000000 --- a/comparison_algs_src/postprocessing/postprocessingOper.h +++ /dev/null @@ -1,13 +0,0 @@ -#ifndef POSTPROCESSINGOPER_H -#define POSTPROCESSINGOPER_H - -void applyPostProcessing(classifier_aggregated & ind); - -void ruleSetShake(classifier_aggregated & ind); -void attributeCleaning(classifier_aggregated & ind); -void attributeCleaning2(classifier_aggregated & ind); - -void attributePrunning(classifier_aggregated & ind); -void attributePrunning2(classifier_aggregated & ind); - -#endif // POSTPROCESSINGOPER_H diff --git a/comparison_algs_src/postprocessing/postprocessingOper.o b/comparison_algs_src/postprocessing/postprocessingOper.o deleted file mode 100644 index f6189bc..0000000 Binary files a/comparison_algs_src/postprocessing/postprocessingOper.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/probabilityManagement.h b/comparison_algs_src/postprocessing/probabilityManagement.h deleted file mode 100644 index 1236893..0000000 --- a/comparison_algs_src/postprocessing/probabilityManagement.h +++ /dev/null @@ -1,53 +0,0 @@ -#ifndef _PROBABILITY_MANAGEMENT_H_ -#define _PROBABILITY_MANAGEMENT_H_ - -#include - -#define LINEAR 1 -#define SIGMOIDAL 2 - -extern double percentageOfLearning; - -class probabilityManagement { - double probStart; - double probEnd; - double probLength; - int evolMode; - - double currentProb; - double sigmaYLength; - double sigmaYBase; - double sigmaXOffset; - double beta; - public: - probabilityManagement(double start, double end, int mode) { - probStart = start; - probEnd = end; - evolMode = mode; - - if (mode == LINEAR) { - probLength=end-start; - currentProb = start; - } else { - sigmaYLength = end - start; - sigmaYBase = start; - sigmaXOffset = 0.5; - beta = -10; - } - } - - inline double incStep() { - if (evolMode == LINEAR) { - currentProb=percentageOfLearning*probLength+probStart; - } else { - currentProb = - sigmaYLength / (1 + - exp(beta*(percentageOfLearning-0.5))) - + sigmaYBase; - - } - return currentProb; - } -}; - -#endif diff --git a/comparison_algs_src/postprocessing/random.cpp b/comparison_algs_src/postprocessing/random.cpp deleted file mode 100644 index 6e6b031..0000000 --- a/comparison_algs_src/postprocessing/random.cpp +++ /dev/null @@ -1,74 +0,0 @@ -#include -#include -#include "random.h" -#include -#include -#include -#include -#include -#include -#include "messageBuffer.h" - -extern messageBuffer mb; - -// ------------------------------------ -// Constructor per defecte de la classe -// ------------------------------------ - -Random::Random() -{ - buildSeed(); - mt.seed32(seed); - count1=count2=0; - //init_genrand(seed); -} - -Random::~Random() -{ -} - -void Random::buildSeed() -{ - FILE *fp; - fp = fopen("/dev/urandom", "rb"); - if (!fp) { - perror("random fopen"); - exit(1); - } - - if (fread(&seed, sizeof(unsigned long int), 1, fp) != 1) { - perror("random fread"); - exit(1); - } - fclose(fp); -} - -void Random::dumpSeed() -{ - int i; - mb.printf("Random seed %u\n",seed); -} - -void Random::setSeed(unsigned long int pSeed) -{ - seed=pSeed; - mt.seed32(seed); - //init_genrand(seed); -} - -double Random::operator !(void) -{ - //return genrand_real1(); - return mt.drand(); -} - -unsigned long int Random::operator() (unsigned long int uLow, - unsigned long int uHigh) { - //return (uLow + (unsigned long int)(genrand_real2()*(uHigh + 1 - uLow))); - return (uLow + (unsigned long int)(mt.drand()*(uHigh + 1 - uLow))); -} - -unsigned long int Random::getUInt() -{ - return mt.lrand(); -} diff --git a/comparison_algs_src/postprocessing/random.h b/comparison_algs_src/postprocessing/random.h deleted file mode 100644 index 68c0877..0000000 --- a/comparison_algs_src/postprocessing/random.h +++ /dev/null @@ -1,33 +0,0 @@ -#if !defined(_RANDOM_GEN) -#define _RANDOM_GEN - -#include -#include -//#include "mt19937ar-cok.h" -#include "mtwist.h" -#include "messageBuffer.h" - -extern messageBuffer mb; - -class Random { - private: - unsigned long int seed; - int count1,count2; - mt_prng mt; - - void buildSeed(); - - public: - Random(); - ~Random(); - void dumpSeed(); - unsigned long int getSeed() {return seed;} - void setSeed( unsigned long int seed); - unsigned long int getUInt(); - double operator ! (void); - unsigned long int - operator() (unsigned long int uLow, unsigned long int uHigh); - void dumpCounters() { mb.printf("Random stats %d %d\n",count1,count2);} -}; - -#endif diff --git a/comparison_algs_src/postprocessing/random.o b/comparison_algs_src/postprocessing/random.o deleted file mode 100644 index fa6bb69..0000000 Binary files a/comparison_algs_src/postprocessing/random.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/sampling.h b/comparison_algs_src/postprocessing/sampling.h deleted file mode 100644 index ba9e252..0000000 --- a/comparison_algs_src/postprocessing/sampling.h +++ /dev/null @@ -1,44 +0,0 @@ -#ifndef _SAMPLING_H_ -#define _SAMPLING_H_ - -#include "random.h" - -extern Random rnd; - -class Sampling { - int maxSize; - int num; - int *sample; - - void initSampling() { - int i; - for(i=0;i) { - chomp; - if(/^Phenotype/) { - $trobat=1; - next; - } - if($trobat) { - if(/^[0-9]/) { - s/[0-9]+://g; - print "$_\n"; - } else { - $trobat=0; - } - } -} - diff --git a/comparison_algs_src/postprocessing/test-pp.conf b/comparison_algs_src/postprocessing/test-pp.conf deleted file mode 100755 index b98795f..0000000 --- a/comparison_algs_src/postprocessing/test-pp.conf +++ /dev/null @@ -1,51 +0,0 @@ -crossover operator 1px -default class fixed -fixed default class 0 -fitness function mdl -initialization min classifiers 20 -initialization max classifiers 20 -iterations 25 -mdl initial tl ratio 0.025 -mdl iteration 10 -mdl weight relax factor 0.90 -pop size 500 -prob crossover 0.6 -prob individual mutation 0.6 -prob one 0.75 -selection algorithm tournamentwor -tournament size 4 -windowing ilas 1 -dump evolution stats -smart init -class wise init -coverage breakpoint 0.0625 -repetitions of rule learning 2 -coverage ratio 1.0 -expected number of attributes 3 - -kr hyperrect -num expressed attributes init 3 -hyperrectangle uses list of attributes -prob generalize list 0.10 -prob specialize list 0.10 - - -# Options: -# start: dump statistics before the operators are applied -# end: dump statistics after the operators are applied -# all: dump statistics before and after -trainset stats enabled all -testset stats enabled all - -# Up to 6 concatenated operators permited -# cl: cleaning -# cl2: conservative cleaning -# pr: pruning -# sw: rule swap -operator 1 policy cl -operator 2 policy pr -operator 3 policy cl2 -operator 4 policy pr -operator 5 policy pr - -#random seed 33938 diff --git a/comparison_algs_src/postprocessing/timeManagement.cpp b/comparison_algs_src/postprocessing/timeManagement.cpp deleted file mode 100644 index be868dc..0000000 --- a/comparison_algs_src/postprocessing/timeManagement.cpp +++ /dev/null @@ -1,66 +0,0 @@ -#include "timeManagement.h" - -#include -#include -#include -#include -#include -#include -#include "messageBuffer.h" - -extern messageBuffer mb; - -using namespace std; - -timeManagement::timeManagement() -{ - initialTimeT=currentTimeT(); - initialTimeG=currentTimeG(); -} - -void timeManagement::resetTime() -{ - initialTimeT=currentTimeT(); -} - -timeManagement::~timeManagement() -{ - mb.printf("Total time: %g %g\n",totalTimeT(),totalTimeG()); -} - -double timeManagement::totalTime() -{ - return currentTimeT(); -} - -double timeManagement::totalTimeT() -{ - return currentTimeT()-initialTimeT; -} - -double timeManagement::totalTimeG() -{ - return currentTimeG()-initialTimeG; -} - -double timeManagement::currentTimeT() -{ - struct tms cpu_time; - times(&cpu_time); - return (double)(cpu_time.tms_utime+cpu_time.tms_stime) - /(double)sysconf(_SC_CLK_TCK); -} - -double timeManagement::currentTimeG() -{ - struct timeval tv; - - if(gettimeofday(&tv,NULL)==-1) { - perror("gettimeoday failed"); - exit(1); - } - return (double)tv.tv_sec+(double)tv.tv_usec/1000000.0; -} - - - diff --git a/comparison_algs_src/postprocessing/timeManagement.h b/comparison_algs_src/postprocessing/timeManagement.h deleted file mode 100644 index c268884..0000000 --- a/comparison_algs_src/postprocessing/timeManagement.h +++ /dev/null @@ -1,24 +0,0 @@ -#ifndef _GESTIO_TEMPS_H_ -#define _GESTIO_TEMPS_H_ - -#include "JString.h" - - -class timeManagement { - double startTime; - double timeInterval; - double initialTimeT; - double initialTimeG; - - double currentTimeT(); - double currentTimeG(); - double totalTimeG(); - double totalTimeT(); -public: - timeManagement(); - ~timeManagement(); - double totalTime(); - void resetTime(); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timeManagement.o b/comparison_algs_src/postprocessing/timeManagement.o deleted file mode 100644 index c3dac8c..0000000 Binary files a/comparison_algs_src/postprocessing/timeManagement.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerCrossover.cpp b/comparison_algs_src/postprocessing/timerCrossover.cpp deleted file mode 100644 index abd0f58..0000000 --- a/comparison_algs_src/postprocessing/timerCrossover.cpp +++ /dev/null @@ -1,87 +0,0 @@ -#include "timerCrossover.h" -#include -#include "messageBuffer.h" -#include "attributesInfo.h" - -extern messageBuffer mb; -extern attributesInfo ai; - -timerCrossover::timerCrossover() -{ - int i; - - cxOperator = (int) cm.getParameter(CROSSOVER_OPERATOR); - crossoverProb = cm.getParameter(PROB_CROSSOVER); - - if(cxOperator == CROSS_INFORMED) { - int numAtt=ai.getNumAttributes(); - int attMap[numAtt]; - - for(i=0;isizes; - JVectorBBs; - FILE *fp=fopen("cutPoints.dat","r"); - if(fp==NULL) { - fprintf(stderr,"Cannot open cutPoints.dat\n"); - exit(1); - } - fgets(string,999,fp); - while(!feof(fp)) { - char *token; - token=strtok(string," "); - JVector varsBB; - while(token!=NULL) { - int value=atoi(token); - if(value<0 || value>=numAtt) { - fprintf(stderr,"Attribute %d is out of ranges\n",value); - exit(1); - } - if(attMap[value]==1) { - fprintf(stderr,"Attribute %d has already been used\n",value); - exit(1); - } - attMap[value]=1; - varsBB.addElement(value); - token=strtok(NULL," "); - } - - int size=varsBB.size(); - int *bb=new int[size]; - for(i=0;i bestFitness) - newBest = 1; - } else { - if (iterationBestFitness < bestFitness) - newBest = 1; - } - - if (newBest) { - bestFitness = iterationBestFitness; - iterationsSinceBest = 1; - globalIterationsSinceBest = 1; - //mb.printf("Iteration %d, New best fitness\n", - // iteration); - } else { - iterationsSinceBest++; - globalIterationsSinceBest++; - } - } -} - -void timerEvolutionStats::dumpStats(int iteration) -{ - classifier *ind = pw->getBestOverall(); - double aveAcc,devAcc; - pw->getAverageDevAccuracy(aveAcc,devAcc); - - if(doDumpStats || iteration==0) { - mb.printf("It %d,Best ac:%f %f fi:%f." - " Ave ac:%f,%f\n", iteration, ind->getAccuracy() - ,ind->getAccuracy2(),ind->getFitness(),aveAcc,devAcc); - } - - bestOfIteration(iteration, ind->getFitness(), ind->getAccuracy()); -} diff --git a/comparison_algs_src/postprocessing/timerEvolutionStats.h b/comparison_algs_src/postprocessing/timerEvolutionStats.h deleted file mode 100644 index 84e8b74..0000000 --- a/comparison_algs_src/postprocessing/timerEvolutionStats.h +++ /dev/null @@ -1,29 +0,0 @@ -#ifndef _TIMER_EVOLUTION_STATS_H_ -#define _TIMER_EVOLUTION_STATS_H_ - -#include "timingProcess.h" -#include "JVector.h" - -class timerEvolutionStats: public timingProcess { - int maxMin; - int iterationsSinceBest; - int globalIterationsSinceBest; - double bestFitness; - int doDumpStats; - - void bestOfIteration(int iteration,double bestFitness,double bestAcc); - -public: - int getIterationsSinceBest(); - int getGlobalIterationsSinceBest(); - void resetBestStats(); - - timerEvolutionStats(); - ~timerEvolutionStats(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration) {} - void dumpStats(int iteration); - void reinit(); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerEvolutionStats.o b/comparison_algs_src/postprocessing/timerEvolutionStats.o deleted file mode 100644 index 350ffa4..0000000 Binary files a/comparison_algs_src/postprocessing/timerEvolutionStats.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerGlobals.cpp b/comparison_algs_src/postprocessing/timerGlobals.cpp deleted file mode 100644 index dd6c8af..0000000 --- a/comparison_algs_src/postprocessing/timerGlobals.cpp +++ /dev/null @@ -1,106 +0,0 @@ -#include "instanceSet.h" -#include "timerGlobals.h" -#include "timerEvolutionStats.h" -#include "attributesInfo.h" -#include "messageBuffer.h" - -extern messageBuffer mb; - -extern attributesInfo ai; - -timerGlobals::timerGlobals() -{ - minClassifiersInit = - (int) cm.getParameter(INITIALIZATION_MIN_CLASSIFIERS); - maxClassifiersInit = - (int) cm.getParameter(INITIALIZATION_MAX_CLASSIFIERS); - - if (cm.thereIsParameter(IGNORE_MISSING_VALUES)) { - ignoreMissingValues = 1; - } else { - ignoreMissingValues = 0; - } - - if (cm.thereIsParameter(PENALIZE_MIN_SIZE)) { - penalizeMin=(int)cm.getParameter(PENALIZE_MIN_SIZE); - } else { - penalizeMin=0; - } - - defaultClassPolicy=(int)cm.getParameter(DEFAULT_CLASS); - defaultClass=-1; - switch(defaultClassPolicy) { - case MAJOR: - numClasses=ai.getNumClasses()-1; - //defaultClass=0; - defaultClass=ai.getMostFrequentClass(); - break; - case MINOR: - numClasses=ai.getNumClasses()-1; - //defaultClass=0; - defaultClass=ai.getLeastFrequentClass(); - break; - case FIXED: - numClasses=ai.getNumClasses()-1; - defaultClass=(int)cm.getParameter(FIXED_DEFAULT_CLASS); - break; - case DISABLED: - numClasses=ai.getNumClasses(); - break; - case AUTO: - numClasses=ai.getNumClasses()-1; - break; - - } - - //printf("Default class %d\n",defaultClass); - - elitismEnabled=1; - - smartInit=cm.thereIsParameter(SMART_INIT); - numAttributes=ai.getNumAttributes(); - numAttributesMC=numAttributes-1; - - doTrainAndClean=0; - if(cm.thereIsParameter(RULE_CLEANING_PROB)) { - doTrainAndClean=1; - cleanProb=cm.getParameter(RULE_CLEANING_PROB); - } else { - cleanProb=0; - } - if(cm.thereIsParameter(RULE_GENERALIZING_PROB)) { - doTrainAndClean=1; - generalizingProb=cm.getParameter(RULE_GENERALIZING_PROB); - } else { - generalizingProb=0; - } - - numRepetitionsLearning=(int)cm.getParameter(REPETITIONS_RULE_LEARNING); - - stopUsingSpecificity = false; - -// requiredSpecificityVolume = -1; -// requiredSpecificityLiterals = -1; - -// if (cm.thereIsParameter(ADD_RULE_SPECIFICITY_LITERALS)) -// { -// stopUsingSpecificity = true; -// requiredSpecificityLiterals = (int)cm.getParameter(ADD_RULE_SPECIFICITY_LITERALS); -// } - -// if (cm.thereIsParameter(ADD_RULE_SPECIFICITY_VOLUME)) -// { -// stopUsingSpecificity = true; -// requiredSpecificityVolume = cm.getParameter(ADD_RULE_SPECIFICITY_VOLUME); -// } - - -} - -void timerGlobals::newIteration(int iteration,int lastIt) -{ -} - -void timerGlobals::dumpStats(int iteration) -{ -} diff --git a/comparison_algs_src/postprocessing/timerGlobals.h b/comparison_algs_src/postprocessing/timerGlobals.h deleted file mode 100644 index 468759a..0000000 --- a/comparison_algs_src/postprocessing/timerGlobals.h +++ /dev/null @@ -1,43 +0,0 @@ -#ifndef _TIMER_GLOBAL_H_ -#define _TIMER_GLOBAL_H_ - -#include "timingProcess.h" - -class timerGlobals: public timingProcess { -public: - int minClassifiersInit; - int maxClassifiersInit; - int penalizeMin; - int ignoreMissingValues; - int numClasses; - int defaultClass; - int defaultClassPolicy; - int elitismEnabled; - int smartInit; - double probOne; - int numAttributes; - int numAttributesMC; - int doTrainAndClean; - double cleanProb; - double generalizingProb; - int numRepetitionsLearning; - - bool stopUsingSpecificity; - int requiredSpecificityLiterals; - double requiredSpecificityVolume; - - double probLocalSearch; - int doRuleCleaning; - int doRuleSplitting; - int doRuleGeneralizing; - int lsCombinationToUse; - - double expectedNonNoiseAmmount; - - timerGlobals(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerGlobals.o b/comparison_algs_src/postprocessing/timerGlobals.o deleted file mode 100644 index f2d3cb9..0000000 Binary files a/comparison_algs_src/postprocessing/timerGlobals.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerHierar.cpp b/comparison_algs_src/postprocessing/timerHierar.cpp deleted file mode 100644 index f6af9b0..0000000 --- a/comparison_algs_src/postprocessing/timerHierar.cpp +++ /dev/null @@ -1,38 +0,0 @@ -#include "timerHierar.h" -#include "messageBuffer.h" - -extern messageBuffer mb; - -timerHierar::timerHierar() -{ - if (!cm.thereIsParameter(HIERARCHICAL_SELECTION_ITERATION)) { - enabled=0; - activated=0; - return; - } - enabled=1; - - useMDL=cm.thereIsParameter(HIERARCHICAL_SELECTION_USES_MDL); - threshold = cm.getParameter(HIERARCHICAL_SELECTION_THRESHOLD); - startIteration=(int)cm.getParameter(HIERARCHICAL_SELECTION_ITERATION); - if(startIteration==0) activated=1; - else activated=0; -} - -void timerHierar::reinit() -{ - if(enabled) { - if(startIteration==0) activated=1; - else activated=0; - } -} - -void timerHierar::newIteration(int iteration,int lastIteration) -{ - if(!enabled) return; - - if(iteration==startIteration) { - activated=1; - mb.printf("Iteration %d:Hierarchical selection activated\n",iteration); - } -} diff --git a/comparison_algs_src/postprocessing/timerHierar.h b/comparison_algs_src/postprocessing/timerHierar.h deleted file mode 100644 index 9659a76..0000000 --- a/comparison_algs_src/postprocessing/timerHierar.h +++ /dev/null @@ -1,21 +0,0 @@ -#ifndef _TIMER_HIERAR_H_ -#define _TIMER_HIERAR_H_ - -#include "timingProcess.h" - -class timerHierar: public timingProcess { - int startIteration; - int enabled; -public: - int useMDL; - double threshold; - double activated; - - timerHierar(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration) {} - void reinit(); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerHierar.o b/comparison_algs_src/postprocessing/timerHierar.o deleted file mode 100644 index 42d610d..0000000 Binary files a/comparison_algs_src/postprocessing/timerHierar.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerMDL.cpp b/comparison_algs_src/postprocessing/timerMDL.cpp deleted file mode 100644 index a5a6b16..0000000 --- a/comparison_algs_src/postprocessing/timerMDL.cpp +++ /dev/null @@ -1,260 +0,0 @@ -#include "instanceSet.h" -#include "timerMDL.h" -#include "attributesInfo.h" -#include "timerEvolutionStats.h" -#include "populationWrapper.h" -#include "utils.h" -#include "messageBuffer.h" -#include "agentPerformanceTraining.h" - -extern messageBuffer mb; - -extern timerEvolutionStats *tEvolStats; -extern attributesInfo ai; -extern instanceSet *is; - -timerMDL::timerMDL() { - //coverageBreak = cm.getParameter(COVERAGE_BREAKPOINT); - - //numAttsK = - - if (!(cm.getParameter(FITNESS_FUNCTION) == MDL)) { - mdlAccuracy = 0; - return; - } - mdlAccuracy = 1; - - startIteration = (int) cm.getParameter(MDL_ITERATION); - if (!startIteration) - startIteration++; - - mdlWeightRelaxFactor = cm.getParameter(MDL_WEIGHT_RELAX_FACTOR); - - initialTheoryLenghtRatio = cm.getParameter(MDL_INITIAL_TL_RATIO); - fixedWeight = 0; - activated = 0; - iterationMDL = 0; - - if (cm.thereIsParameter(MDL_WEIGHT)) { - fixedWeight = 1; - mdlWeight = cm.getParameter(MDL_WEIGHT); - } - - coverageBreaks = new double[ai.getNumClasses()]; - adjustCovBreak(cm.getParameter(COVERAGE_BREAKPOINT)); - - //adjustNumAttsK(cm.getParameter(NUM_ATTS_K)); - - // coverageBreak=cm.getParameter(COVERAGE_BREAKPOINT); - // - // coverageRatio=cm.getParameter(COVERAGE_RATIO); - // int nc=ai.getNumClasses(); - // coverageBreaks = new double[nc]; - // origCoverageBreaks = new double[nc]; - // for(i=0;igetNumInstances(); - // if(coverageBreaks[i]>1) coverageBreaks[i]=1; - // origCoverageBreaks[i]=coverageBreaks[i]; - // mb.printf("Coverage break for class %d : %f\n",i,coverageBreaks[i]); - // } -} - -//void timerMDL::adjustNumAttsK(int k) -//{ -// int i; -// -// numAttsK = k; -// int nc = ai.getNumClasses(); -// for (i = 0; i < nc; i++) { -// mb.printf("Expected number of attributes for class %d : %d\n", i, numAttsK); -// } -//} - -void timerMDL::adjustCovBreak(double cov) -{ - int i; - - coverageBreak = cov; - coverageRatio = cm.getParameter(COVERAGE_RATIO); - int nc = ai.getNumClasses(); - for (i = 0; i < nc; i++) { - //coverageBreaks[i]=coverageBreak; - coverageBreaks[i] = coverageBreak / (double) ai.getInstancesOfClass(i) - * (double) is->getNumInstances(); - if (coverageBreaks[i] > 1) { - coverageBreaks[i] = 1; - } - mb.printf("Coverage break for class %d : %f\n", i, coverageBreaks[i]); - } -} - -void timerMDL::adjustCovBreak(double cov, int i) -{ - // int i; - - coverageBreak = cov; - coverageRatio = cm.getParameter(COVERAGE_RATIO); - - //coverageBreaks[i]=coverageBreak; - coverageBreaks[i] = coverageBreak / (double) ai.getInstancesOfClass(i) - * (double) is->getNumInstances(); - if (coverageBreaks[i] > 1) { - coverageBreaks[i] = 1; - } - mb.printf("Coverage break for class %d : %f\n", i, coverageBreaks[i]); - -} - -void timerMDL::reinit() { - fixedWeight = 0; - activated = 0; - iterationMDL = 0; - - if (cm.thereIsParameter(MDL_WEIGHT)) { - fixedWeight = 1; - mdlWeight = cm.getParameter(MDL_WEIGHT); - } -} - -void timerMDL::newIteration(int iteration, int lastIteration) { - if (!mdlAccuracy) - return; - int updateWeight = 0; - iterationMDL++; - - if (iteration == startIteration) { - mb.printf("Iteration %d:MDL fitness activated\n", iteration); - activated = 1; - if (!fixedWeight) { - classifier *ind1 = pw->getBestPopulation(); - double error = ind1->getExceptionsLength(); - double theoryLength = ind1->getTheoryLength(); - mb.printf("Error %f TL %f\n", error, theoryLength); - if (error == 0) { - mdlWeight = 0.1; - fixedWeight = 1; - } else { - mdlWeight = (initialTheoryLenghtRatio / (1 - - initialTheoryLenghtRatio)) * (error / theoryLength); - } - } - updateWeight = 1; - } - - if (activated && !fixedWeight) { - if (pw->getBestPopulation()->getExceptionsLength() != 0) { - if (tEvolStats->getIterationsSinceBest() == 10) { - mdlWeight *= mdlWeightRelaxFactor; - updateWeight = 1; - } - } - } - - if (updateWeight) { - tEvolStats->resetBestStats(); - mb.printf("MDL Theory Length Weight: %.10f (%d)\n", mdlWeight, - tEvolStats->getGlobalIterationsSinceBest()); - pw->activateModifiedFlag(); - } -} - -void timerMDL::dumpStats(int iteration) { - if (mdlAccuracy && activated) { - //classifier *ind1 = pw->getBestPopulation(); - //mb.printf("Iteration %d,MDL Stats: %f %f %f\n", iteration, - // ind1->getTheoryLength() * mdlWeight, - // ind1->getExceptionsLength(), - // ind1->getTheoryLength() * mdlWeight / - // ind1->getFitness()); - } -} - -double timerMDL::mdlFitness(classifier & ind, agentPerformanceTraining * ap) { - double mdlFitness = 0; - if (activated) { - //printf("Valor mdlFitness %f", mdlFitness); - mdlFitness = ind.getTheoryLength() * mdlWeight; - } - - double exceptionsLength; - if (ap->getNumPos() == 0) { - exceptionsLength = 2; - } else { - double acc = 1 - ap->getAccuracy2(); - int cl = ind.getClass(); - ind.setRecall(ap->getRecall()); - ind.setCoverage(ap->getCoverage()); - double cov = ap->getRecall(); - //double cov = ap->getCoverage(); - ind.setRecall(cov); - - if (cov < coverageBreaks[cl] / 3) { - cov = 0; - } else { - if (coverageBreaks[cl] < 1) { - if (cov < coverageBreaks[cl]) { - cov = coverageRatio * cov / coverageBreaks[cl]; - } else { -// if(cov>coverageBreaks[cl]*5) cov=coverageBreaks[cl]*5; -// cov=coverageRatio+(1-coverageRatio)*(cov-coverageBreaks[cl])/(1-coverageBreaks[cl]); - - - if(cov>coverageBreaks[cl]*3) cov=coverageBreaks[cl]*3; - if(cov>1) cov=1; - cov = coverageRatio + (1 - coverageRatio) * (cov - - coverageBreaks[cl]) / (1 - coverageBreaks[cl]); - } - } - } - - cov = 1 - cov;// + 3*ind.getSizePercentage(); - ind.setCoverageTerm(cov); - - - exceptionsLength = acc + cov; - //printf("Acc %f Cov %f\n", acc, cov); - } - - ind.setExceptionsLength(exceptionsLength); - - - mdlFitness += exceptionsLength; - return mdlFitness; -} - -//double timerMDL::mdlFitness(classifier & ind, agentPerformanceTraining * ap) { -// double mdlFitness = 0; -// if (activated) { -// mdlFitness = ind.getTheoryLength() * mdlWeight; -// } -// -// double exceptionsLength; -// if (ap->getNumPos() == 0) { -// exceptionsLength = 2; -// } else { -// double acc = 1 - ap->getAccuracy2(); -// -// int numAtts = ind.getTheoreticalCoverage(); -// double cov = 0; -// int offset = 4; -// -// if(numAtts <= numAttsK) { -// cov = 1; -// } else if(numAtts <= numAttsK +offset) { -// cov = (numAttsK - numAtts)/offset; -// } -// -// cov = 1 - cov; -// ind.setCoverageTerm(cov); -// ind.setRecall(ap->getRecall()); -// -// exceptionsLength = acc + cov; -// } -// -// ind.setExceptionsLength(exceptionsLength); -// -// mdlFitness += exceptionsLength; -// return mdlFitness; -//} - diff --git a/comparison_algs_src/postprocessing/timerMDL.h b/comparison_algs_src/postprocessing/timerMDL.h deleted file mode 100644 index 93498b9..0000000 --- a/comparison_algs_src/postprocessing/timerMDL.h +++ /dev/null @@ -1,45 +0,0 @@ -#ifndef _TIMER_MDL_H_ -#define _TIMER_MDL_H_ - -#include "timingProcess.h" - -class agentPerformanceTraining; -class classifier; - -class timerMDL: public timingProcess { - int startIteration; - double mdlWeight; - double mdlWeightRelaxFactor; - double initialTheoryLenghtRatio; - int fixedWeight; - int mdlWeightRelaxStopIteration; - double mdlWeightRelaxStopAccuracy; - int iterationMDL; - -public: - int activated; - int mdlAccuracy; - double coverageBreak; - double coverageRatio; - double *coverageBreaks; - - int numAttsK; - - double mdlFitness(classifier &ind,agentPerformanceTraining *ap); - timerMDL(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); - void adjustCovBreak(double cov); - void adjustCovBreak(double cov, int clas); - -// void adjustNumAttsK(int k); - void reinit(); - - double getCoverageBreak() { - return coverageBreak; - } - -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerMDL.o b/comparison_algs_src/postprocessing/timerMDL.o deleted file mode 100644 index c8f4fc2..0000000 Binary files a/comparison_algs_src/postprocessing/timerMDL.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerMutation.cpp b/comparison_algs_src/postprocessing/timerMutation.cpp deleted file mode 100644 index 5f51f13..0000000 --- a/comparison_algs_src/postprocessing/timerMutation.cpp +++ /dev/null @@ -1,18 +0,0 @@ -#include "timerMutation.h" -#include -#include "messageBuffer.h" - -extern messageBuffer mb; - -timerMutation::timerMutation() -{ - mutationProb = cm.getParameter(PROB_INDIVIDUAL_MUTATION); -} - -void timerMutation::newIteration(int iteration,int lastIteration) -{ -} - -void timerMutation::dumpStats(int iteration) -{ -} diff --git a/comparison_algs_src/postprocessing/timerMutation.h b/comparison_algs_src/postprocessing/timerMutation.h deleted file mode 100644 index 5df3a97..0000000 --- a/comparison_algs_src/postprocessing/timerMutation.h +++ /dev/null @@ -1,17 +0,0 @@ -#ifndef _TIMER_MUTATION_H_ -#define _TIMER_Mutation_H_ - -#include "timingProcess.h" -#include "probabilityManagement.h" - -class timerMutation: public timingProcess { -public: - double mutationProb; - - timerMutation(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerMutation.o b/comparison_algs_src/postprocessing/timerMutation.o deleted file mode 100644 index 0d875e0..0000000 Binary files a/comparison_algs_src/postprocessing/timerMutation.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerRealKR.cpp b/comparison_algs_src/postprocessing/timerRealKR.cpp deleted file mode 100644 index 5dd8c02..0000000 --- a/comparison_algs_src/postprocessing/timerRealKR.cpp +++ /dev/null @@ -1,361 +0,0 @@ -#include "classifier_hyperrect_list.h" -#include "timerRealKR.h" -#include "timerMDL.h" -#include "attributesInfo.h" -#include "random.h" -#include "messageBuffer.h" -#include -#include "timerGlobals.h" -#include "populationWrapper.h" - -extern messageBuffer mb; - -extern attributesInfo ai; -extern Random rnd; -extern timerMDL *tMDL; -extern timerGlobals *tGlobals; - -timerRealKR::timerRealKR() -{ - if (!cm.thereIsParameter(KR_HYPERRECT)) { - enabled = 0; - return; - } - enabled = 1; - int i,j; - - tGlobals->probOne = cm.getParameter(PROB_ONE); - - int numAtt=ai.getNumAttributesMC(); - int numExpAtt=(int)cm.getParameter(EXPRESSED_ATT_INIT); - if(numExpAtt>numAtt) numExpAtt=numAtt; - probIrr= 1-(double)numExpAtt/(double)numAtt; - mb.printf("Probability of irrelevant attribute set to %f\n",probIrr); - - hyperrectList=cm.thereIsParameter(HYPERRECT_LIST); - if(hyperrectList) { - probGeneralizeList=cm.getParameter(PROB_GENERALIZE_LIST); - probSpecializeList=cm.getParameter(PROB_SPECIALIZE_LIST); - //fitGen = new int [numAtt]; - //fitSpe = new int [numAtt]; - } - - if(!hyperrectList && ai.onlyRealValuedAttributes()) { - mb.printf("Using SSE instructions for intervalar representation\n"); - attPerBlock=4; - sizeBounds=numAtt; - if(sizeBounds%4) { - sizeBounds+=(4-sizeBounds%4); - } - ruleSize=sizeBounds*2+1; - rotateIntervals=cm.thereIsParameter(ROTATE_HYPERRECTANGLES); - if(rotateIntervals) { - numSteps=64; - step0=numSteps/2; - mutSteps=numSteps/4; - stepRatio=M_PI*2/numSteps; - sinTable=new float[numSteps]; - cosTable=new float[numSteps]; - double angle=-M_PI; - for(i=0;i atts1; - JVector atts2; - fgets(string,99,fp); - while(!feof(fp)) { - char *ptr=strtok(string," "); - int att1=atoi(ptr); - ptr=strtok(NULL," "); - int att2=atoi(ptr); - attMap[att1]++; - attMap[att2]++; - - atts1.addElement(att1); - atts2.addElement(att2); - - fgets(string,99,fp); - } - fclose(fp); - - numAngles=atts1.size(); - angleList1 = new int[numAngles]; - angleList2 = new int[numAngles]; - for(i=0;inumAngles) - numUsedAngles=numAngles; - - for(i=0;inumAngles) - numUsedAngles=numAngles; - - for(i=0;i maxDomain) - maxInterval = maxDomain; - - son1 = !rnd * (maxInterval - minInterval) + minInterval; - son2 = !rnd * (maxInterval - minInterval) + minInterval; -} - -void timerRealKR::crossoverSBX(float parent1, float parent2, - float &son1, float &son2, - float minDomain, float maxDomain) -{ - float u, beta; - - u = !rnd; - u *= 0.9999999999; - if (u <= 0.5) { - beta = pow(2 * u, 1.0 / (nOfSBX + 1)); - } else { - beta = pow(1.0 / (2.0 * (1 - u)), 1.0 / (nOfSBX + 1)); - } - - son1 = 0.5 * ((1 + beta) * parent1 + (1 - beta) * parent2); - if (son1 < minDomain) - son1 = minDomain; - if (son1 > maxDomain) - son1 = maxDomain; - - son2 = 0.5 * ((1 - beta) * parent1 + (1 + beta) * parent2); - if (son2 < minDomain) - son2 = minDomain; - if (son2 > maxDomain) - son2 = maxDomain; -} - -void timerRealKR::crossoverFR(float parent1, float parent2, float &son1, - float &son2, float minDomain, - float maxDomain) -{ - float minPare = fmin(parent1, parent2); - float maxPare = fmax(parent1, parent2); - float interval = maxPare - minPare; - - son1 = - crossoverFRp(minPare, maxPare, interval, minDomain, maxDomain); - son2 = - crossoverFRp(minPare, maxPare, interval, minDomain, maxDomain); -} - -float timerRealKR::crossoverFRp(float minPare, float maxPare, - float interval, float minDomain, - float maxDomain) -{ - float centre; - float valor; - - if (!rnd < 0.5) { - centre = minPare; - } else { - centre = maxPare; - } - - if (!rnd < 0.5) { - valor = centre + (!rnd - 1) * dOfFR * interval; - } else { - valor = centre + (1 - !rnd) * dOfFR * interval; - } - if (valor < minDomain) - valor = minDomain; - if (valor > maxDomain) - valor = maxDomain; - - return valor; -} - -float timerRealKR::fmin(float a, float b) -{ - if (a < b) - return a; - return b; -} -float timerRealKR::fmax(float a, float b) -{ - if (a > b) - return a; - return b; -} - -int rankOrderAtt(const void *pA, const void *pB) -{ - rankAtt *a=(rankAtt *)pA; - rankAtt *b=(rankAtt *)pB; - - if(a->count>b->count) return -1; - if(a->countcount) return +1; - return 0; -} - - -void timerRealKR::newIteration(int iteration,int finalIteration) -{ - if (!enabled) - return; - - /*if(hyperrectList) { - int i,j; - - for(i=0;inumAttributesMC;i++) { - fitGen[i]=0; - } - - int numExp=0; - classifier **pop=pw->getPopulation(); - for(i=0;ipopSize;i++) { - classifier_hyperrect_list *ind=(classifier_hyperrect_list *)pop[i]; - for(j=0;jnumAtt;j++) { - int att=ind->whichAtt[j]; - if(!fitGen[att]) numExp++; - fitGen[att]++; - } - } - - for(i=0;inumAttributesMC;i++) { - fitSpe[i]=pw->popSize-fitGen[i]; - } - - //rankAtt attData[tGlobals->numAttributesMC]; - //for(i=0;inumAttributesMC;i++) { - // attData[i].pos=i; - // attData[i].count=fitGen[i]; - //} - //qsort(attData, tGlobals->numAttributesMC,sizeof(rankAtt),rankOrderAtt); - - //mb.printf("It %d,Number of expressed attributes: %d\n",iteration,numExp); - //mb.printf("Rank of attributes\n"); - //for(i=0;inumAttributesMC;i++) { - // printf("Att %s : %d\n",ai.getAttributeName(attData[i].pos)->cstr(),attData[i].count); - //} - }*/ -} diff --git a/comparison_algs_src/postprocessing/timerRealKR.h b/comparison_algs_src/postprocessing/timerRealKR.h deleted file mode 100644 index ccbd82e..0000000 --- a/comparison_algs_src/postprocessing/timerRealKR.h +++ /dev/null @@ -1,93 +0,0 @@ -#ifndef _TIMER_REAL_KR_H_ -#define _TIMER_REAL_KR_H_ - -#include "timingProcess.h" - -typedef struct { - int count; - int pos; -} rankAtt; - -class evaluator { - public: - virtual int evaluate(float *,float)=0; -}; - -class evaluatorReal : public evaluator { - public: - inline int evaluate(float *term,float value) { - return (valueterm[1]); - } -}; - -class evaluatorNominal : public evaluator { - public: - inline int evaluate(float *term,float value) { - return (term[(unsigned char)value]==0); - } -}; - -class timerRealKR: public timingProcess { - int enabled; -public: - int *attributeSize; - int *attributeOffset; - int ruleSize; - float dOfFR; - float alphaOfBLX; - float nOfSBX; - int thereIsSpecialCrossover; - double instanceTheoryLength; - double probSharp; - double probIrr; - double coverageInit; - - evaluator **evaluators; - - int hyperrectList; - int *fitGen; - int *fitSpe; - - double probGeneralizeList; - double probSpecializeList; - - int attPerBlock; - int sizeBounds; - int rotateIntervals; - float *sinTable; - float *cosTable; - float stepRatio; - float *minD,*maxD; - float *sizeD; - int numSteps; - int mutSteps; - int step0; - int numAngles; - int *angleList1; - int *angleList2; - double prob0AngleInit; - double prob0AngleMut; - int numUsedAngles; - int sizeAngles; - - timerRealKR(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int finalIteration); - void dumpStats(int iteration); - - void crossoverBLX(float parent1,float parent2,float &son1 - ,float &son2,float minDomain,float maxDomain); - void crossoverSBX(float parent1,float parent2,float &son1,float &son2 - ,float minDomain,float maxDomain); - void crossoverFR(float parent1,float parent2,float &son1,float &son2 - ,float minDomain,float maxDomain); - float crossoverFRp(float minPare,float maxPare,float interval - ,float minDomain,float maxDomain); - - void specialCrossover(float parent1,float parent2,float &son1 - ,float &son2,float minDomain,float maxDomain); - float fmin(float a,float b); - float fmax(float a,float b); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerRealKR.o b/comparison_algs_src/postprocessing/timerRealKR.o deleted file mode 100644 index 6ea98c2..0000000 Binary files a/comparison_algs_src/postprocessing/timerRealKR.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timerSymbolicKR.cpp b/comparison_algs_src/postprocessing/timerSymbolicKR.cpp deleted file mode 100644 index f734cea..0000000 --- a/comparison_algs_src/postprocessing/timerSymbolicKR.cpp +++ /dev/null @@ -1,54 +0,0 @@ -#include "timerSymbolicKR.h" -#include "timerMDL.h" -#include "timerGlobals.h" -#include "attributesInfo.h" -#include "messageBuffer.h" -#include - -extern messageBuffer mb; -extern attributesInfo ai; -extern timerMDL *tMDL; -extern timerGlobals *tGlobals; - -timerSymbolicKR::timerSymbolicKR() -{ - if(cm.thereIsParameter(KR_ADI) || cm.thereIsParameter(KR_INSTANCE_SET) || cm.thereIsParameter(KR_HYPERRECT)) return; - - - if (cm.thereIsParameter(KR_LCS)) { - probSharp = cm.getParameter(PROB_SHARP); - } else { - if(cm.thereIsParameter(PROB_ONE)) { - tGlobals->probOne = cm.getParameter(PROB_ONE); - } else { - int num=ai.getNumAttributesMC(); - int minR=tGlobals->minClassifiersInit; - double nc=ai.getNumClasses(); - tGlobals->probOne=pow(1-pow(nc,-1.0/minR),1.0/num); - if(tGlobals->probOne<0.90) tGlobals->probOne=0.90; - mb.printf("Probability of ONE set to %f\n",tGlobals->probOne); - } - - sizeAttribute = new int[ai.getNumAttributes()]; - offsetAttribute = new int[ai.getNumAttributes()]; - ruleSize = 0; - int i; - for (i = 0; i < ai.getNumAttributesMC(); i++) { - if (ai.getTypeOfAttribute(i) == REAL) { - fprintf(stderr,"This representation cannot handle real-valued attributes\n"); - exit(1); - } else { - sizeAttribute[i] = ai.getNumValuesAttribute(i); - } - offsetAttribute[i] = ruleSize; - ruleSize += sizeAttribute[i]; - } - sizeAttribute[i]=1; - offsetAttribute[i]=ruleSize; - ruleSize++; - } -} - -void timerSymbolicKR::dumpStats(int iteration) -{ -} diff --git a/comparison_algs_src/postprocessing/timerSymbolicKR.h b/comparison_algs_src/postprocessing/timerSymbolicKR.h deleted file mode 100644 index f188c45..0000000 --- a/comparison_algs_src/postprocessing/timerSymbolicKR.h +++ /dev/null @@ -1,20 +0,0 @@ -#ifndef _TIMER_Discret_H_ -#define _TIMER_Discret_H_ - -#include "timingProcess.h" - -class timerSymbolicKR: public timingProcess { - int enabled; -public: - int *sizeAttribute; - int *offsetAttribute; - int ruleSize; - double probSharp; - - timerSymbolicKR(); - void initialize(populationWrapper *pPW) {pw=pPW;} - void newIteration(int iteration,int lastIteration) {} - void dumpStats(int iteration); -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timerSymbolicKR.o b/comparison_algs_src/postprocessing/timerSymbolicKR.o deleted file mode 100644 index 1a54af6..0000000 Binary files a/comparison_algs_src/postprocessing/timerSymbolicKR.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timersManagement.cpp b/comparison_algs_src/postprocessing/timersManagement.cpp deleted file mode 100644 index 2782fba..0000000 --- a/comparison_algs_src/postprocessing/timersManagement.cpp +++ /dev/null @@ -1,93 +0,0 @@ -#include "timersManagement.h" - -#include "timerGlobals.h" -//#include "timerADI.h" -#include "timerMDL.h" -#include "timerHierar.h" -#include "timerMutation.h" -#include "timerSymbolicKR.h" -#include "timerRealKR.h" -#include "timerEvolutionStats.h" -#include "timerCrossover.h" - -timerGlobals *tGlobals; -timerMDL *tMDL; -timerHierar *tHierar; -//timerADI *tADI; -timerRealKR *tReal; -timerSymbolicKR *tSymbolic; -timerMutation *tMut; -timerCrossover *tCross; -timerEvolutionStats *tEvolStats; - -timersManagement::timersManagement() -{ - iteration = -1; - - tGlobals=new timerGlobals; - //tADI=new timerADI; - tMDL=new timerMDL; - tHierar=new timerHierar; - tReal=new timerRealKR; - tSymbolic=new timerSymbolicKR; - tMut=new timerMutation; - tEvolStats=new timerEvolutionStats; - tCross=new timerCrossover; - - addTimer(tGlobals); - //addTimer(tADI); - addTimer(tHierar); - addTimer(tMDL); - addTimer(tSymbolic); - addTimer(tReal); - addTimer(tMut); - addTimer(tCross); - addTimer(tEvolStats); -} - -timersManagement::~timersManagement() -{ - delete tGlobals; - //delete tADI; - delete tHierar; - delete tMDL; - delete tSymbolic; - delete tReal; - delete tMut; - delete tCross; - delete tEvolStats; -} - - -void timersManagement::incIteration(int lastIteration) -{ - iteration++; - - int i; - for(i=0;inewIteration(iteration,lastIteration); -} - -void timersManagement::reinit() -{ - iteration=-1; - - int i; - for(i=0;ireinit(); -} - - -void timersManagement::dumpStats() -{ - int i; - for(i=0;idumpStats(iteration); -} - -void timersManagement::setPW(populationWrapper *pPW) -{ - int i; - for(i=0;iinitialize(pPW); -} diff --git a/comparison_algs_src/postprocessing/timersManagement.h b/comparison_algs_src/postprocessing/timersManagement.h deleted file mode 100644 index f58f760..0000000 --- a/comparison_algs_src/postprocessing/timersManagement.h +++ /dev/null @@ -1,21 +0,0 @@ -#ifndef _TIMERS_MANAGEMENT_H_ -#define _TIMERS_MANAGEMENT_H_ - -#include "populationWrapper.h" -#include "JVector.h" -#include "timingProcess.h" - -class timersManagement { - JVector timers; - int iteration; -public: - timersManagement(); - ~timersManagement(); - void incIteration(int lastIteration); - void dumpStats(); - void reinit(); - void setPW(populationWrapper *pPW); - void addTimer(timingProcess *tp){timers.addElement(tp);} -}; - -#endif diff --git a/comparison_algs_src/postprocessing/timersManagement.o b/comparison_algs_src/postprocessing/timersManagement.o deleted file mode 100644 index 558bb64..0000000 Binary files a/comparison_algs_src/postprocessing/timersManagement.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/timingProcess.h b/comparison_algs_src/postprocessing/timingProcess.h deleted file mode 100644 index 46fde4c..0000000 --- a/comparison_algs_src/postprocessing/timingProcess.h +++ /dev/null @@ -1,20 +0,0 @@ -#ifndef _TIMING_PROCESS_H_ -#define _TIMING_PROCESS_H_ - -#include "configManagement.h" - -extern configManagement cm; - -class populationWrapper; - -class timingProcess { -protected: - populationWrapper *pw; -public: - virtual void initialize(populationWrapper *pPW)=0; - virtual void newIteration(int iteration,int finalIteration)=0; - virtual void dumpStats(int iteration)=0; - virtual void reinit(){} -}; - -#endif diff --git a/comparison_algs_src/postprocessing/utils.cpp b/comparison_algs_src/postprocessing/utils.cpp deleted file mode 100644 index e09c5f9..0000000 --- a/comparison_algs_src/postprocessing/utils.cpp +++ /dev/null @@ -1,43 +0,0 @@ -#include -#include -#include -#include "JVector.h" - -double getAverage(JVector &vect) -{ - double ave=0; - int i,size=vect.size(); - - for(i=0; i &vect) -{ - double ave=getAverage(vect),dev=0; - int i,size=vect.size(); - - for(i=0; i A is in [b*0.95,b*1.05] - - if (A == B) - return true; - - double relativeError; - if (fabs(B) > fabs(A)) - relativeError = fabs((A - B) / B); - else - relativeError = fabs((A - B) / A); - if (relativeError <= maxRelativeError) - return true; - - return false; -} diff --git a/comparison_algs_src/postprocessing/utils.h b/comparison_algs_src/postprocessing/utils.h deleted file mode 100644 index c45cd0c..0000000 --- a/comparison_algs_src/postprocessing/utils.h +++ /dev/null @@ -1,9 +0,0 @@ -#ifndef _UTILS_H_ -#define _UTILS_H_ - -double getAverage(JVector&); -double getDeviation(JVector &); - -bool AlmostEqualRelative2(double A, double B); - -#endif diff --git a/comparison_algs_src/postprocessing/utils.o b/comparison_algs_src/postprocessing/utils.o deleted file mode 100644 index 50e7e0d..0000000 Binary files a/comparison_algs_src/postprocessing/utils.o and /dev/null differ diff --git a/comparison_algs_src/postprocessing/windowing.h b/comparison_algs_src/postprocessing/windowing.h deleted file mode 100644 index 3c03f66..0000000 --- a/comparison_algs_src/postprocessing/windowing.h +++ /dev/null @@ -1,18 +0,0 @@ -#ifndef _WINDOWING_H_ -#define _WINDOWING_H_ - -#include "instance.h" - -class populationWrapper; - -class windowing { -public: - virtual void setInstances(instance **set,int howMuch)=0; - virtual void newIteration(instance **&selectedInstances,int &howMuch, int &strataOffset)=0; - virtual instance** getStratas()=0; - virtual int numVersions(){return 1;} - virtual int getCurrentVersion(){return 0;} - virtual int needReEval(){return 1;} -}; - -#endif diff --git a/comparison_algs_src/postprocessing/windowingGWS.cpp b/comparison_algs_src/postprocessing/windowingGWS.cpp deleted file mode 100644 index c95668b..0000000 --- a/comparison_algs_src/postprocessing/windowingGWS.cpp +++ /dev/null @@ -1,81 +0,0 @@ -#include "populationWrapper.h" -#include "windowingGWS.h" -#include "configManagement.h" -#include "attributesInfo.h" -#include "random.h" -#include "classifierFitness.h" -#include "messageBuffer.h" - -extern messageBuffer mb; -extern Random rnd; -extern attributesInfo ai; -extern configManagement cm; -extern int nodeRank; - -void windowingGWS::setInstances(instance **pSet,int pHowMuch) -{ - int i; - - set=pSet; - howMuch=pHowMuch; - - numClasses=ai.getNumClasses(); - numStrata=(int)round(cm.getParameter(WINDOWING_GWS)); - instancesOfClass= new instance **[numClasses]; - classSizes = new int[numClasses]; - classQuota = new double[numClasses]; - - int capacity=0; - for(i=0;igetClass(); - instancesOfClass[cls][classSizes[cls]++]=set[i]; - } - - currentIteration=0; -} - -windowingGWS::~windowingGWS() -{ - int i; - - delete classSizes; - delete classQuota; - for(i=0;ihowMuch) { - delete strata; - strata = new instance *[pHowMuch]; - } - } else { - strata = new instance *[pHowMuch]; - } - - set=pSet; - howMuch=pHowMuch; - currentIteration=0; - reorderInstances(); -} - -windowingILAS::windowingILAS() -{ - numStrata=(int)round(cm.getParameter(WINDOWING_ILAS)); - strataSizes = new int[numStrata]; - strataOffsets = new int[numStrata]; - strata=NULL; -} - -windowingILAS::~windowingILAS() -{ - delete strata; - delete strataSizes; - delete strataOffsets; -} - -void windowingILAS::reorderInstances() -{ - int i,j,k; - int nc=ai.getNumClasses(); - - Sampling **samplings = new Sampling *[nc]; - for(i=0;igetClass(); - int str=samplings[cls]->getSample(); - tempStrata[str][countTemp[str]++]=set[i]; - } - - int acum=0; - for(i=0;i&sample); - double realValuedAttributeValidation(int pClass, int attr, JVector< - instance *>&sample); - double statisticalValidation(int pClass, JVector&sample); - -public: - windowingILAS(); - ~windowingILAS(); - void setInstances(instance **set, int howMuch); - void newIteration(instance ** &selectedInstances, int &howMuch, - int &strataOffset); - int needReEval() { - if (numStrata == 1) - return 0; - return 1; - } - int numVersions() { - return numStrata; - } - int getCurrentVersion() { - return stratum; - } - - instance ** getStratas() { - return strata; - } - -}; - -#endif diff --git a/comparison_algs_src/postprocessing/windowingILAS.o b/comparison_algs_src/postprocessing/windowingILAS.o deleted file mode 100644 index 7b6a016..0000000 Binary files a/comparison_algs_src/postprocessing/windowingILAS.o and /dev/null differ diff --git a/comparison_algs_src/wittgenstein/__init__.py b/comparison_algs_src/wittgenstein/__init__.py deleted file mode 100644 index 51a6fc1..0000000 --- a/comparison_algs_src/wittgenstein/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -from .irep import IREP -from .ripper import RIPPER -import pandas as pd - -__version__ = "0.3.4" -__author__ = "Ilan Moscovitz" diff --git a/comparison_algs_src/wittgenstein/abstract_ruleset_classifier.py b/comparison_algs_src/wittgenstein/abstract_ruleset_classifier.py deleted file mode 100644 index 22d2291..0000000 --- a/comparison_algs_src/wittgenstein/abstract_ruleset_classifier.py +++ /dev/null @@ -1,343 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -from abc import ABC, abstractmethod -from copy import deepcopy -import numpy as np - -import pandas as pd - -from wittgenstein.check import _check_is_model_fit, _warn -from wittgenstein.base import ( - Rule, - Ruleset, - asrule, - asruleset, - cond_fromstr, - ruleset_fromstr, -) -import wittgenstein.base_functions as base_functions -import wittgenstein.preprocess as preprocess -from wittgenstein.preprocess import BinTransformer, _upgrade_bin_transformer_ifdepr - - -class AbstractRulesetClassifier(ABC): - def __init__( - self, - algorithm_name, - prune_size=0.33, - n_discretize_bins=10, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - alpha=1.0, - random_state=None, - verbosity=0, - ): - super().__init__() - - self.VALID_HYPERPARAMETERS = { - "prune_size", - "n_discretize_bins", - "max_rules", - "min_ruleset_samples", - "max_rule_conds", - "max_total_conds", - "alpha", - "random_state", - "verbosity", - } - self.algorithm_name = algorithm_name - self.prune_size = prune_size if prune_size else 0 - self.n_discretize_bins = n_discretize_bins - self.max_rules = max_rules - self.min_rule_samples = min_rule_samples - self.min_ruleset_samples = min_ruleset_samples - self.max_rule_conds = max_rule_conds - self.max_total_conds = max_total_conds - self.alpha = alpha - self.random_state = random_state - self.verbosity = verbosity - - # This is to help keep sklearn ensemble happy should someone want use it - self._estimator_type = "classifier" - - def __str__(self): - """Return string representation.""" - isfit_str = ( - " with fit ruleset" - if (hasattr(self, "ruleset_") and self.ruleset_ is not None) - else "" - ) - params = str(self.get_params()) - params = ( - params.replace(": ", "=") - .replace("'", "") - .replace("{", "(") - .replace("}", ")") - ) - return f"<{self.algorithm_name}{params}{isfit_str}>" - - __repr__ = __str__ - - def out_model(self): - """Print trained Ruleset model line-by-line: V represents 'or'; ^ represents 'and'.""" - if hasattr(self, "ruleset_"): - self.ruleset_.out_pretty() - else: - print("no model fitted") - - def predict(self, X, give_reasons=False, feature_names=None): - """Predict classes using a fit model. - - Parameters - ---------- - X: DataFrame, numpy array, or other iterable - Examples to make predictions on. All selected features of the model should be present. - - give_reasons : bool, default=False - Whether to provide reasons for each prediction made. - feature_names : list, default=None - Specify feature names for X to orient X's features with selected features. - - Returns - ------- - list - Predicted class labels for each row of X. True indicates positive predicted class, False negative class. - - Or, if give_reasons=True, returns - - tuple, >> - Tuple containing list of predictions and a list of the corresponding reasons for each prediction -- - for each positive prediction, a list of all the covering Rules, for negative predictions, an empty list. - """ - - _check_is_model_fit(self) - - self._ensure_has_bin_transformer() - - _upgrade_bin_transformer_ifdepr(self) - - # Preprocess prediction data - preprocess_params = { - "X": X, - "class_feat": self.class_feat, - "pos_class": self.pos_class, - "bin_transformer_": self.bin_transformer_, - "user_requested_feature_names": feature_names, - "selected_features_": self.selected_features_, - "trainset_features_": self.trainset_features_, - "verbosity": self.verbosity, - } - - X_df = preprocess.preprocess_prediction_data(preprocess_params) - - return self.ruleset_.predict(X_df, give_reasons=give_reasons) - - def score(self, X, y, score_function=base_functions.score_accuracy): - - """Score the performance of a fit model. - - X : DataFrame, numpy array, or other iterable - Examples to score. - y : Series, numpy array, or other iterable - Class label actuals. - - score_function : function, default=score_accuracy - Any scoring function that takes two parameters: actuals >, - predictions >, where the elements represent class labels. - This optional parameter is intended to be compatible with sklearn's scoring functions: - https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics - """ - - _check_is_model_fit(self) - - predictions = self.predict(X) - actuals = [ - yi == self.pos_class for yi in preprocess._preprocess_y_score_data(y) - ] - return score_function(actuals, predictions) - - def predict_proba(self, X, give_reasons=False, feature_names=None): - """Predict class probabilities of data using a fit model. - - Parameters - ---------- - X: DataFrame, numpy array, or other iterable - Examples to make predictions on. All selected features of the model should be present. - - give_reasons : bool, default=False - Whether to provide reasons for each prediction made. - feature_names : list, default=None - Specify feature names for X to orient X's features with selected features. - - Returns - ------- - array - Predicted class label probabilities for each row of X, ordered neg, pos. - True indicates positive predicted class, False negative classes. - - or, if give_reasons=True: - - tuple< array, > > - Tuple containing array of predicted probabilities and a list of the corresponding reasons for each prediction-- - for each positive prediction, a list of all the covering Rules, for negative predictions, an empty list. - """ - - _check_is_model_fit(self) - - _upgrade_bin_transformer_ifdepr(self) - - # Preprocess prediction data - preprocess_params = { - "X": X, - "class_feat": self.class_feat, - "pos_class": self.pos_class, - "bin_transformer_": self.bin_transformer_, - "user_requested_feature_names": feature_names, - "selected_features_": self.selected_features_, - "trainset_features_": self.trainset_features_, - "verbosity": self.verbosity, - } - - X_df = preprocess.preprocess_prediction_data(preprocess_params) - - # This is to help keep sklearn ensemble happy should someone want use it - # self.classes_ = np.array([0, 1]) - self.classes_ = np.array([f"not {self.pos_class}", self.pos_class]) - return self.ruleset_.predict_proba(X_df, give_reasons=give_reasons) - - def recalibrate_proba( - self, - X_or_Xy, - y=None, - feature_names=None, - min_samples=20, - require_min_samples=True, - discretize=True, - ): - """Recalibrate a classifier's probability estimations using unseen labeled data. May improve .predict_proba generalizability. - Does not affect the underlying model or which predictions it makes -- only probability estimates. - Use params min_samples and require_min_samples to select desired behavior. - - Note1: RunTimeWarning will occur as a reminder when min_samples and require_min_samples params might result in unintended effects. - Note2: It is possible recalibrating could result in some positive .predict predictions with <0.5 .predict_proba positive probability. - - Xy: labeled data - - min_samples : int, default=20 - Required minimum number of samples per Rule. - Use None to ignore minimum sampling requirement so long as at least one sample exists. - require_min_samples : bool, default=True - True: halt (with warning) in case min_samples not achieved for all Rules - False: warn, but still replace Rules that have enough samples - discretize : bool, default=True - If the classifier has already fit bins, automatically discretize recalibrate_proba's training data - """ - - # Preprocess training data - preprocess_params = { - "X_or_Xy": X_or_Xy, - "y": y, - "class_feat": self.class_feat, - "pos_class": self.pos_class, - "bin_transformer_": self.bin_transformer_ if discretize else None, - "user_requested_feature_names": feature_names, - "min_samples": min_samples, - "require_min_samples": require_min_samples, - "verbosity": self.verbosity, - } - - df = preprocess._preprocess_recalibrate_proba_data(preprocess_params) - - # Recalibrate - base_functions.recalibrate_proba( - self.ruleset_, - Xy_df=df, - class_feat=self.class_feat, - pos_class=self.pos_class, - min_samples=min_samples, - require_min_samples=require_min_samples, - alpha=self.alpha, - verbosity=self.verbosity - ) - - def copy(self): - """Return deep copy of classifier.""" - return deepcopy(self) - - def init_ruleset(self, ruleset, class_feat, pos_class): - self.ruleset_ = self._ruleset_frommodel(ruleset) - self.class_feat = class_feat - self.pos_class = pos_class - self.selected_features_ = self.ruleset_.get_selected_features() - self.trainset_features_ = self.selected_features_ - - def add_rule(self, new_rule): - self.ruleset_.add(new_rule) - - def replace_rule_at(self, index, new_rule): - self.ruleset_.replace(index, new_rule) - - def replace_rule(self, old_rule, new_rule): - self.ruleset_.replace_rule(old_rule, new_rule) - - def remove_rule_at(self, index): - self.ruleset_.remove(index) - - def remove_rule(self, old_rule): - self.ruleset_.remove_rule(old_rule) - - def insert_rule_at(self, index, new_rule): - self.ruleset_.insert(index, new_rule) - - def insert_rule(self, insert_before_rule, new_rule): - self.ruleset_.insert_rule(insert_before_rule, new_rule) - - def get_params(self, deep=True): - # parameter deep is a required artifact of sklearn compatability - return {param: self.__dict__.get(param) for param in self.VALID_HYPERPARAMETERS} - - def set_params(self, **parameters): - for parameter, value in parameters.items(): - setattr(self, parameter, value) - return self - - def _ruleset_frommodel(self, model): - """Return the ruleset from model, which may be a Ruleset, wittgenstein classifier, or str.""" - if not model: - return Ruleset() - elif type(model) == Ruleset: - return deepcopy(model) - elif type(model) == str: - return deepcopy(asruleset(model)) - elif isinstance(model, AbstractRulesetClassifier): - return deepcopy(model.ruleset_) - else: - raise AttributeError( - f"Couldnt recognize type: {type(model)} of model: {model}. Model should be of type Ruleset, str defining a ruleset, or wittgenstein classifier." - ) - - def _ensure_has_bin_transformer(self): - if hasattr(self, "bin_transformer_") and self.bin_transformer_ is not None: - return - else: - self.bin_transformer_ = BinTransformer() - self.bin_transformer_.construct_from_ruleset(self.ruleset_) - - def _set_deprecated_fit_params(self, params): - """Handle setting parameters passed to .fit that should have been passed to __init__""" - found_deprecated_params = [] - for param, value in params.items(): - if param in self.VALID_HYPERPARAMETERS: - found_deprecated_params.append(param) - setattr(self, param, value) - if found_deprecated_params: - _warn( - f"In the future, you should assign these parameters when initializating classifier instead of during model fitting: {found_deprecated_params}", - DeprecationWarning, - "irep/ripper", - "fit", - ) diff --git a/comparison_algs_src/wittgenstein/base.py b/comparison_algs_src/wittgenstein/base.py deleted file mode 100644 index e08d5dd..0000000 --- a/comparison_algs_src/wittgenstein/base.py +++ /dev/null @@ -1,555 +0,0 @@ -""" Base classes for ruleset classifiers """ -# Author: Ilan Moscovitz -# License: MIT - -import math -import numpy as np -from numpy import var, mean -import pandas as pd - -from wittgenstein.check import ( - _warn, - _check_all_of_type, - _check_valid_index, - _check_rule_exists, -) -from wittgenstein.utils import drop_chars -from wittgenstein import utils -from wittgenstein.utils import rnd, weighted_avg_freqs - - -class Ruleset: - """Collection of Rules in disjunctive normal form.""" - - def __init__(self, rules=None): - if rules is None: - self.rules = [] - else: - self.rules = rules - - def __str__(self): - return "[" + " V ".join([str(rule) for rule in self.rules]) + "]" - - def __repr__(self): - ruleset_str = self.__str__() - return f"" - - def __getitem__(self, index): - return self.rules[index] - - def __len__(self): - return len(self.rules) - - def truncstr(self, limit=2, direction="left"): - """Return Ruleset string representation. - - limit : int, default=2 - Maximum number of rules to include in string. - Direction : str, default="left" - Which end of ruleset to return. Valid options: 'left', 'right'. - """ - if len(self.rules) > limit: - if direction == "left": - return Ruleset(self.rules[:limit]).__str__() + "..." - elif direction == "right": - return "..." + Ruleset(self.rules[-limit:]).__str__() - else: - raise ValueError('direction param must be "left" or "right"') - else: - return self.__str__() - - def __eq__(self, other): - if type(other) != Ruleset: - raise TypeError( - f"Ruleset.__eq__: param 'other': {other} of type {type(other)} should be type Ruleset" - ) - - for r in self.rules: - # TODO: Ideally, should implement a hash function--in practice speedup would be insignificant - if r not in other.rules: - return False - for ( - r - ) in ( - other.rules - ): # Check the other way around too. (Can't compare lengths instead b/c there might be duplicate rules.) - if r not in self.rules: - return False - return True - - def __len__(self): - return len(self.rules) - - def out_pretty(self): - """Print Ruleset line-by-line.""" - ruleset_str = ( - str([str(rule) for rule in self.rules]) - .replace(" ", "") - .replace(",", " V\n") - .replace("'", "") - .replace("^", " ^ ") - ) - print(ruleset_str) - - def isuniversal(self): - """Return whether the Ruleset has an empty rule, i.e. it will always return positive predictions.""" - if len(self.rules) >= 1: - return any(rule.isempty() for rule in self.rules) - else: - return False - - def isnull(self): - """Return whether the Ruleset has no rules, i.e. it will always return negative predictions.""" - return len(self.rules) == 0 - - def copy(self, n_rules_limit=None): - """Return a deep copy of ruleset. - - n_rules_limit : default=None - Limit copy to this a subset of original rules. - """ - result = copy.deepcopy(self) - if n_rules_limit is not None: - result.rules = result.rules[:n_rules_limit] - return result - - def covers(self, df): - """Return covered examples.""" - - self._check_allpos_allneg(warn=False) - if self.isuniversal(): - return df - elif self.isnull(): - return df.head(0) - else: - covered = [] - for rule in self.rules: - covered.append(rule.covers(df).copy()) - covered = pd.concat(covered) - return covered - #covered = self.rules[0].covers(df).copy() - #for rule in self.rules[1:]: - # covered = covered.append(rule.covers(df)) - #covered = covered.drop_duplicates() - #return covered - - def num_covered(self, df): - """Return the number of covered examples.""" - return len(self.covers(df)) - - def count_rules(self): - """Return number of rules in the Ruleset.""" - return len(self.rules) - - def count_conds(self): - """Return total number of conds in the Ruleset.""" - return sum([len(r.conds) for r in self.rules]) - - def get_conds(self): - """Return list of all selected conds""" - conds_list = [] - conds_set = set() - for r in self.rules: - new_conds = [c for c in r.conds if c not in conds_set] - conds_list.extend(new_conds) - conds_set.update(set(new_conds)) - return conds_list - - def _update_possible_conds(self, pos_df, neg_df): - """Store a list of all possible conds.""" - - # Used in Rule::successors so as not to rebuild it each time, - # and in exceptions_dl calculations because nCr portion of formula already accounts for no replacement.) - - if not hasattr(self, "possible_conds"): - self.possible_conds = [] - for feat in pos_df.columns.values: - for val in set(pos_df[feat].unique()).intersection( - set(neg_df[feat].unique()) - set(self.possible_conds) - ): - self.possible_conds.append(Cond(feat, val)) - - def trim_conds(self, max_total_conds=None): - """.Reduce the total number of Conds in a Ruleset by removing Rules.""" - if max_total_conds is not None: - while len(self.rules) > 0 and self.count_conds() > max_total_conds: - self.rules.pop(-1) - - def trimmed_str(iterable, max_items=3): - return str(iterable[:max_items])[-1] + "..." - - def add(self, rule): - """Add a rule.""" - self.rules.append(asrule(rule)) - - def remove(self, index): - _check_valid_index(index, self, "remove") - del self.rules[index] - - def remove_rule(self, old_rule): - _check_rule_exists(asrule(old_rule), self, "remove_rule") - index = self.rules.index(asrule(old_rule)) - self.remove(index) - - def insert(self, index, new_rule): - _check_valid_index(index, self, "insert") - self.rules.insert(index, asrule(new_rule)) - - def insert_rule(self, insert_before_rule, new_rule): - _check_rule_exists(asrule(insert_before_rule), self, "replace_rule") - index = self.rules.index(asrule(insert_before_rule)) - self.insert(index, asrule(new_rule)) - - def replace(self, index, new_rule): - _check_valid_index(index, self, "replace") - self.rules[index] = asrule(new_rule) - - def replace_rule(self, old_rule, new_rule): - _check_rule_exists(asrule(old_rule), self, "replace_rule") - index = self.rules.index(asrule(old_rule)) - self.replace(index, asrule(new_rule)) - - def predict(self, X_df, give_reasons=False, warn=True): - """Predict classes using a fit Ruleset. - - Parameters - ---------- - X_df : DataFrame - Examples to make predictions on. - give_reasons : bool, default=False - Whether to also return reasons for each prediction made. - - Returns - ------- - list - Predictions. True indicates positive predicted class, False negative. - - If give_reasons is True, returns a tuple that contains the above list of predictions - and a list of the corresponding reasons for each prediction; - for each positive prediction, gives a list of one-or-more covering Rules, for negative predictions, an empty list. - """ - - # Issue warning if Ruleset is universal or empty - self._check_allpos_allneg(warn=warn, warnstack=[("base", "predict")]) - - covered_indices = set(self.covers(X_df).index.tolist()) - predictions = [i in covered_indices for i in X_df.index] - - if not give_reasons: - return predictions - else: - reasons = [] - # For each Ruleset-covered example, collect list of every Rule that covers it; - # for non-covered examples, collect an empty list - for i, p in zip(X_df.index, predictions): - example = X_df[X_df.index == i] - example_reasons = ( - [rule for rule in self.rules if len(rule.covers(example)) == 1] - if p - else [] - ) - reasons.append(example_reasons) - return (predictions, reasons) - - def predict_proba(self, X_df, give_reasons=False): - """ Predict probabilities for each class using a fit Ruleset model. - - Parameters - ---------- - X_df : DataFrame - Examples to make predictions on. - give_reasons : bool, default=False - Whether to also return reasons for each prediction made. - - Returns - ------- - array - Predicted probabilities in order negative, positive probabilities. - If an example is predicted positive but none of its rules met the required number of proba training examples, - returns proba of 0 for both classes and issues a warning. - - If give_reasons is True, returns a tuple that contains the above list of predictions - and a list of the corresponding reasons for each prediction; - for each positive prediction, gives a list of one-or-more covering Rules, for negative predictions, an empty list. - """ - - # Get proba for all negative predictions - uncovered_proba = weighted_avg_freqs([self.smoothed_uncovered_class_freqs_]) - - # Make predictions for each example - predictions, covering_rules = self.predict(X_df, give_reasons=True, warn=False) - - # Collect probas for each example - probas = np.empty(shape=(len(predictions), uncovered_proba.shape[0])) - for i, (p, cr) in enumerate(zip(predictions, covering_rules)): - if not p: - probas[i, :] = uncovered_proba - else: - class_freqs = [rule.smoothed_class_freqs_ for rule in cr] - probas[i, :] = weighted_avg_freqs(class_freqs) - # return probas (and optional extras) - result = utils.flagged_return([True, give_reasons], [probas, covering_rules]) - return result - - def _check_allpos_allneg(self, warn=False, warnstack=""): - """Check if a Ruleset is universal (always predicts pos) or empty (always predicts neg) """ - if self.isuniversal() and warn: - warning_str = f"Ruleset is universal. All predictions it makes with method .predict will be positive. It may be untrained or was trained on a dataset split lacking negative examples." - _warn( - warning_str, - RuntimeWarning, - filename="base", - funcname="_check_allpos_allneg", - warnstack=warnstack, - ) - elif self.isnull() and warn: - warning_str = f"Ruleset is empty. All predictions it makes with method .predict will be negative. It may be untrained or was trained on a dataset split lacking positive examples." - _warn( - warning_str, - RuntimeWarning, - filename="base", - funcname="_check_allpos_allneg", - warnstack=warnstack, - ) - return self.isuniversal(), self.isnull() - - def get_selected_features(self): - """Return list of selected features in order they were added.""" - feature_list = [] - feature_set = set() - for rule in self.rules: - for cond in rule.conds: - feature = cond.feature - if feature not in feature_set: - feature_list.append(feature) - feature_set.add(feature) - return feature_list - - -class Rule: - """Conjunction of Conds""" - - def __init__(self, conds=None): - if conds is None: - self.conds = [] - else: - self.conds = conds - - def __str__(self): - if not self.conds: - rule_str = "[True]" - else: - rule_str = ( - str([str(cond) for cond in self.conds]) - .replace(",", "^") - .replace("'", "") - .replace(" ", "") - ) - return rule_str - - def __repr__(self): - return f"" - - def __add__(self, cond): - if isinstance(cond, Cond): - return Rule(self.conds + [cond]) - else: - raise TypeError( - f"{self} + {cond}: Rule objects can only conjoin Cond objects." - ) - - def __eq__(self, other): - if type(other) != Rule: - return False - elif len(self.conds) != len(other.conds): - return False - return set([str(cond) for cond in self.conds]) == set( - [str(cond) for cond in other.conds] - ) - - def __hash__(self): - return hash(str([self.conds])) - - def __len__(self): - return len(self.conds) - - def isempty(self): - return len(self.conds) == 0 - - def covers(self, df): - """Return instances covered by the Rule.""" - covered = df.head(len(df)) - for cond in self.conds: - covered = cond.covers(covered) - return covered - - def num_covered(self, df): - return len(self.covers(df)) - - def covered_feats(self): - """Return list of features covered by the Rule.""" - return [cond.feature for cond in self.conds] - - ############################################# - ##### Rule::grow/prune helper functions ##### - ############################################# - - def successors(self, possible_conds, pos_df, neg_df): - """Return a list of all valid successor rules. - - Parameters - ---------- - - possible_conds : list - List of Conds to consider conjoining to create successors. - Passing None will infer possible conds from columns of pos_df and neg_df. - Note: If pos_df and neg_df are data subsets, it will only generate possible_conds - from their available values. - """ - - if possible_conds is not None: - successor_conds = [ - cond for cond in possible_conds if cond not in self.conds - ] - return [Rule(self.conds + [cond]) for cond in successor_conds] - else: - successor_rules = [] - for feat in pos_df.columns.values: - for val in set(pos_df[feat].unique()).intersection( - set(neg_df[feat].unique()) - ): - if ( - feat not in self.covered_feats() - ): # Conds already in Rule and Conds that contradict Rule aren't valid successors / NB Rules are short; this is unlikely to be worth the overhead of cheacking - successor_rules.append(self + Cond(feat, val)) - return successor_rules - - -class Cond: - """Conditional""" - - def __init__(self, feature, val): - self.feature = feature - self.val = val - - def __str__(self): - return f"{self.feature}={self.val}" - - def __repr__(self): - return f"" - - def __eq__(self, other): - if type(other) != Cond: - return False - else: - return self.feature == other.feature and self.val == other.val - - def __hash__(self): - return hash((self.feature, self.val)) - - def covers(self, df): - """Return instances covered by the Cond, i.e. those which are not in contradiction with it.""" - return df[df[self.feature] == self.val] - - def num_covered(self, df): - return len(self.covers(df)) - - -def cond_fromstr(str_): - antecedent_consequent = tuple(s.strip() for s in str_.split("=")) - if len(antecedent_consequent) != 2: - raise ValueError( - f"cond_stromstr: There was a problem with parsing the string: {str_} Cond strings should take the form of 'antecedent=consequent'. Check to ensure you're using correct logical syntax." - ) - - return Cond(antecedent_consequent[0], antecedent_consequent[1]) - - -def rule_fromstr(str_): - if not str or str_ == "True" or str_ == "[True]" or str_ == "[]": - return Rule() - - rule_str = drop_chars(str_, "[]") - try: - conds = [cond_fromstr(s) for s in rule_str.split("^")] - except: - raise ValueError( - f"rule_stromstr: There was a problem with parsing the string: '{str_}' Rule strings should take the form of '[antecedent1=consequent1 ^ antecedent2=consequent2...]' Check to ensure you're using correct logical syntax." - ) - return Rule(conds) - - -def ruleset_fromstr(str_): - if not str_ or str_ == "[]" or str_ == "[[]]": - return Ruleset() - - rules = [] - for rulestr in str_.split("V"): - try: - rules.append(rule_fromstr(rulestr)) - except: - raise ValueError( - f"ruleset_stromstr: There was a problem with parsing the string: '{str_}' somewhere near the area of '{rulestr}' Ruleset strings should take the form of '[[antecedent1=consequent1] V [antecedent2=consequent2 ^ antecedent3=consequent3]...]' Check to ensure you're using correct logical syntax." - ) - - return Ruleset(rules) - - -def ascond(obj): - """Return a Cond from a str or Cond""" - if type(obj) == Cond: - return obj - elif type(obj) == str: - return cond_fromstr(obj) - elif ( - hasattr(obj, "__iter__") - and len(obj) == 2 - and all([type(item) == str for item in obj]) - ): - return Cond(obj[0], obj[1]) - else: - raise TypeError( - f"Couldn't interpret {obj} type {type(obj)} as Cond. Type should be Cond or str" - ) - - -def asrule(obj): - """Return a Rule from a str or Rule""" - if type(obj) == Rule: - return obj - elif type(obj) == str: - return rule_fromstr(obj) - elif obj is None or not obj: - return Rule() - elif hasattr(obj, "__iter__"): - try: - return Rule([ascond(item) for item in obj]) - except: - raise TypeError( - f"Couldn't interpret {obj} type {type(obj)} as a Rule. Type should be Rule, list of Conds, or str" - ) - - -def asruleset(obj): - """Return a Ruleset from a str, Ruleset, or classifier""" - if type(obj) == Ruleset: - return obj - elif type(obj) == str: - return ruleset_fromstr(obj) - elif hasattr(obj, "ruleset_"): - return obj.ruleset_ - elif hasattr(obj, "fit") and "wittgenstein" in str(obj.__class__): - return Ruleset() - elif obj is None or not obj: - return Ruleset() - elif hasattr(obj, "__iter__"): - try: - return Ruleset([asrule(item) for item in obj]) - except: - raise TypeError( - f"Couldn't interpret {obj} type {type(obj)} as Ruleset. Type should be Ruleset, a wittgenstein ruleset classifier, list of Rules, or str" - ) - else: - raise TypeError( - f"asruleset: {obj} type {type(obj)} cannot be converted to Ruleset. Type should be Ruleset, a wittgenstein ruleset classifier, list of Rules, or str" - ) diff --git a/comparison_algs_src/wittgenstein/base_functions.py b/comparison_algs_src/wittgenstein/base_functions.py deleted file mode 100644 index 6e9ad98..0000000 --- a/comparison_algs_src/wittgenstein/base_functions.py +++ /dev/null @@ -1,741 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -import copy -from functools import reduce -import math -import numpy as np -import operator as op - -import pandas as pd -from random import shuffle, seed - -from wittgenstein.base import Cond, Rule, Ruleset -from wittgenstein.check import ( - _warn, - _check_model_features_present, -) -from wittgenstein.utils import rnd - -########################## -##### BASE FUNCTIONS ##### -########################## - - -def grow_rule( - pos_df, - neg_df, - possible_conds, - initial_rule=Rule(), - min_rule_samples=None, - max_rule_conds=None, - verbosity=0, -): - """Fit a new rule to add to a ruleset""" - - rule0 = copy.deepcopy(initial_rule) - if verbosity >= 4: - print(f"growing rule from initial rule: {rule0}") - - rule1 = copy.deepcopy(rule0) - num_neg_covered = len(rule0.covers(neg_df)) - while num_neg_covered > 0 and rule1 is not None: # Stop refining rule if no negative examples remain - user_halt = (max_rule_conds is not None and len(rule1.conds) >= max_rule_conds) or \ - (min_rule_samples is not None and num_neg_covered + rule0.num_covered(pos_df) < min_rule_samples) - if user_halt: - if min_rule_samples is not None and rule0.conds: - rule0.conds.pop(-1) - break - - rule1 = best_successor( - rule0, possible_conds, pos_df, neg_df, verbosity=verbosity - ) - if rule1 is not None: - rule0 = rule1 - if verbosity >= 4: - print(f"negs remaining {len(rule0.covers(neg_df))}") - num_neg_covered = len(rule0.covers(neg_df)) - - if not rule0.isempty(): - if verbosity >= 2: - print(f"grew rule: {rule0}") - if verbosity >= 4: - print(f"covered {len(rule0.covers(neg_df)) + len(rule0.covers(pos_df))} samples") - return rule0 - else: - # warning_str = f"grew an empty rule: {rule0} over {len(pos_idx)} pos and {len(neg_idx)} neg" - # _warn(warning_str, RuntimeWarning, filename='base_functions', funcname='grow_rule') - return rule0 - -def grow_rule_cn( - cn, - pos_idx, - neg_idx, - initial_rule=Rule(), - max_rule_conds=None, - min_rule_samples=None, - verbosity=0 -): - """Fit a new rule to add to a ruleset. (Optimized version.)""" - - rule0 = copy.deepcopy(initial_rule) - rule1 = copy.deepcopy(rule0) - if verbosity >= 4: - print(f"growing rule from initial rule: {rule0}") - - num_neg_covered = len(cn.rule_covers(rule0, subset=neg_idx)) - while num_neg_covered > 0: # Stop refining rule if no negative examples remain - user_halt = (max_rule_conds is not None and len(rule1.conds) >= max_rule_conds) or \ - (min_rule_samples is not None and (num_neg_covered + len(cn.rule_covers(rule0, subset=pos_idx))) < min_rule_samples) - if user_halt: - if min_rule_samples is not None and rule0.conds: - rule0.conds.pop(-1) - break - - rule1 = best_rule_successor_cn(cn, rule0, pos_idx, neg_idx, verbosity=verbosity) - if rule1 is None: - break - rule0 = rule1 - num_neg_covered = len(cn.rule_covers(rule0, neg_idx)) - if verbosity >= 4: - print(f"negs remaining: {num_neg_covered}") - - if not rule0.isempty(): - if verbosity >= 2: - print(f"grew rule: {rule0}") - if verbosity >= 4: - print(f"covered {len(cn.rule_covers(rule0, subset=neg_idx)) + len(cn.rule_covers(rule0, subset=pos_idx))} samples") - return rule0 - else: - # warning_str = f"grew an empty rule: {rule0} over {len(pos_idx)} pos and {len(neg_idx)} neg" - # _warn(warning_str, RuntimeWarning, filename='base_functions', funcname='grow_rule_cn') - return rule0 - - -def prune_rule( - rule, - prune_metric, - pos_pruneset, - neg_pruneset, - eval_index_on_ruleset=None, - verbosity=0, -): - """Return a pruned version of the Rule by removing Conds. - - rule : Rule - Rule to prune. - prune_metric : function - Function that returns a value to maximize. - pos_pruneset : DataFrame - Positive class examples. - neg_pruneset : DataFrame - Negative class examples. - - eval_index_on_ruleset : tuple(rule_index, Ruleset), default=None - Pass the rest of the Rule's Ruleset (excluding the Rule in question), - in order to prune the rule based on the performance of its entire Ruleset, - rather than on the rule alone. Used during optimization stage of RIPPER. - verbosity : int (0-5), default=0 - Output verbosity. - """ - - if rule.isempty(): - # warning_str = f"can't prune empty rule: {rule}" - # _warn(warning_str, RuntimeWarning, filename='base_functions', funcname='prune_rule') - return rule - - if not eval_index_on_ruleset: - - # Currently-best pruned rule and its prune value - best_rule = copy.deepcopy(rule) - best_v = 0 - - # Iterative test rule - current_rule = copy.deepcopy(rule) - - while current_rule.conds: - v = prune_metric(current_rule, pos_pruneset, neg_pruneset) - if verbosity >= 5: - print(f"prune value of {current_rule}: {rnd(v)}") - if v is None: - return None - if v >= best_v: - best_v = v - best_rule = copy.deepcopy(current_rule) - current_rule.conds.pop(-1) - - if verbosity >= 2: - if len(best_rule.conds) != len(rule.conds): - print(f"pruned rule: {best_rule}") - else: - print(f"pruned rule unchanged") - return best_rule - - else: - # Check if index matches rule to prune - rule_index, ruleset = eval_index_on_ruleset - if ruleset.rules[rule_index] != rule: - raise ValueError( - f"rule mismatch: {rule} - {ruleset.rules[rule_index]} in {ruleset}" - ) - - current_ruleset = copy.deepcopy(ruleset) - current_rule = current_ruleset.rules[rule_index] - best_ruleset = copy.deepcopy(current_ruleset) - best_v = 0 - - # Iteratively prune and test rule over ruleset. - # This is unfortunately expensive. - while current_rule.conds: - v = prune_metric(current_ruleset, pos_pruneset, neg_pruneset) - if verbosity >= 5: - print(f"prune value of {current_rule}: {rnd(v)}") - if v is None: - return None - if v >= best_v: - best_v = v - best_rule = copy.deepcopy(current_rule) - best_ruleset = copy.deepcopy(current_ruleset) - current_rule.conds.pop(-1) - current_ruleset.rules[rule_index] = current_rule - return best_rule - - -def prune_rule_cn( - cn, rule, prune_metric_cn, pos_idx, neg_idx, eval_index_on_ruleset=None, verbosity=0 -): - """Return a pruned version of the Rule by removing Conds. (Optimized version.) - - rule : Rule - Rule to prune. - prune_metric : function - Function that returns a value to maximize. - pos_pruneset : DataFrame - Positive class examples. - neg_pruneset : DataFrame - Negative class examples. - - eval_index_on_ruleset : tuple(rule_index, Ruleset), default=None - Pass the rest of the Rule's Ruleset (excluding the Rule in question), - in order to prune the rule based on the performance of its entire Ruleset, - rather than on the rule alone. Used during optimization stage of RIPPER. - verbosity : int (0-5), default=0 - Output verbosity. - """ - - if rule.isempty(): - # warning_str = f"can't prune empty rule: {rule}" - # _warn(warning_str, RuntimeWarning, filename='base_functions', funcname='prune_rule_cn') - return rule - - if not eval_index_on_ruleset: - - # Currently-best pruned rule and its prune value - best_rule = copy.deepcopy(rule) - best_v = 0 - - # Iterative test rule - current_rule = copy.deepcopy(rule) - - while current_rule.conds: - v = prune_metric_cn(cn, current_rule, pos_idx, neg_idx) - if verbosity >= 5: - print(f"prune value of {current_rule}: {rnd(v)}") - if v is None: - return None - if v >= best_v: - best_v = v - best_rule = copy.deepcopy(current_rule) - current_rule.conds.pop(-1) - - if verbosity >= 2: - if len(best_rule.conds) != len(rule.conds): - print(f"pruned rule: {best_rule}") - else: - print(f"pruned rule unchanged") - return best_rule - - # cn is Untouched below here - else: - # Check if index matches rule to prune - rule_index, ruleset = eval_index_on_ruleset - if ruleset.rules[rule_index] != rule: - raise ValueError( - f"rule mismatch: {rule} - {ruleset.rules[rule_index]} in {ruleset}" - ) - - current_ruleset = copy.deepcopy(ruleset) - current_rule = current_ruleset.rules[rule_index] - best_ruleset = copy.deepcopy(current_ruleset) - best_v = 0 - - # Iteratively prune and test rule over ruleset. - while current_rule.conds: - v = prune_metric_cn(cn, current_rule, pos_idx, neg_idx) - if verbosity >= 5: - print(f"prune value of {current_rule}: {rnd(v)}") - if v is None: - return None - if v >= best_v: - best_v = v - best_rule = copy.deepcopy(current_rule) - best_ruleset = copy.deepcopy(current_ruleset) - current_rule.conds.pop(-1) - current_ruleset.rules[rule_index] = current_rule - return best_rule - - -def recalibrate_proba( - ruleset, Xy_df, class_feat, pos_class, min_samples=1, require_min_samples=False, alpha=1.0, verbosity=0, -): - """Recalibrate a Ruleset's probability estimations using unseen labeled data without changing the underlying model. May improve .predict_proba generalizability. - Does not affect the underlying model or which predictions it makes -- only probability estimates. Use params min_samples and require_min_samples to select desired behavior. - - Note1: RunTimeWarning will occur as a reminder when min_samples and require_min_samples params might result in unintended effects. - Note2: It is possible recalibrating could result in some positive .predict predictions with <0.5 .predict_proba positive probability. - - ruleset : Ruleset - Ruleset to recalibrate. - Xy_df : DataFrame - Labeled dataset. - class_feat : str - Name of class feature column in Xy_df. - pos_class : value, typically str or int - Positive class value. - - min_samples : int, default=10 - Required minimum number of samples per Rule. Regardless of min_samples, at least one sample of the correct class is always required. - require_min_samples : bool, default=True - Halt (with warning) if any Rule lacks the minimum number of samples. - Setting to False will warn, but still replace Rules probabilities even if the minimum number of samples is not met. - alpha : float, default=1.0 - additive smoothing parameter - """ - - _check_model_features_present(Xy_df, ruleset.get_selected_features()) - - # At least this many samples per rule (or neg) must be of correct class - required_correct_samples = 1 - - # If not using min_samples, set it to 1 - if not min_samples or min_samples < 1: - min_samples = 1 - - # Collect each Rule's pos and neg frequencies in rule.class_freqs - # Store rules that lack enough samples in insufficient_rules - df = Xy_df - - # Positive Predictions - insufficient_rules = [] - n_samples = len(df) - for i, rule in enumerate(ruleset.rules): - p_preds = rule.covers(df) - num_pos_pred = len(p_preds) - tp = num_pos(p_preds, class_feat=class_feat, pos_class=pos_class) - fp = num_pos_pred - tp - tpr = tp / num_pos_pred if num_pos_pred else 0 - fpr = fp / num_pos_pred if num_pos_pred else 0 - rule.class_ns_ = (fp, tp) - rule.class_freqs_ = (fpr, tpr) - rule.smoothed_class_freqs_ = additive_smoothed_rates((fp, tp), alpha=alpha) - if verbosity >= 2: - print('rule', i, rule) - print('n_samples:', n_samples, \ - 'tp:', tp, 'fp:', fp, 'tpr:', tpr, 'fpr:', fpr, \ - 'class_ns:', rule.class_ns_, 'class_freqs:', rule.class_freqs_, - 'smoothed_class_freqs:', rule.smoothed_class_freqs_) - # Rule has insufficient samples if fewer than minsamples or lacks at least one correct sample - if n_samples < min_samples or tp < required_correct_samples: - insufficient_rules.append(rule) - - # Collect class frequencies for negative predictions - uncovered = df.drop(ruleset.covers(df).index) - num_neg_pred = len(uncovered) - tn = num_neg(uncovered, class_feat=class_feat, pos_class=pos_class) - fn = num_neg_pred - tn - tnr = tn / num_neg_pred if num_neg_pred else 0 - fnr = fn / num_neg_pred if num_neg_pred else 0 - ruleset.uncovered_class_ns_ = (tn, fn) - ruleset.uncovered_class_freqs_ = (tnr, fnr) - ruleset.smoothed_uncovered_class_freqs_ = additive_smoothed_rates((tn, fn), alpha=alpha) - if verbosity >= 2: - print('tn:', tn, 'fn:', fn, 'tnr:', tnr, 'fnr:', fnr, \ - 'ruleset_uncovered_class_ns:', ruleset.uncovered_class_ns_, - 'ruleset_uncovered_class_freqs', ruleset.uncovered_class_freqs_, - 'smoothed_uncovered_class_freqs_', ruleset.smoothed_uncovered_class_freqs_) - - """ - # Issue warnings if trouble with sample size - sample_failure = False - if insufficient_rules: # WARN if any rules lack enough samples - pretty_insufficient_rules = "\n".join([f'{r} class counts {sum(r.class_ns_)}' for r in insufficient_rules]) - warning_str = f"param min_samples={min_samples}; insufficient number of samples or fewer than {required_correct_samples} true positives for rules {pretty_insufficient_rules}" - _warn( - warning_str, - RuntimeWarning, - filename="base_functions", - funcname="recalibrate_proba", - ) - sample_failure = True - if num_neg(df, class_feat=class_feat, pos_class=pos_class) < min_samples: # WARN if negative class lacks enough samples - warning_str = f"param min_samples={min_samples}; insufficient number of negatively labled samples" - _warn( - warning_str, - RuntimeWarning, - filename="base_functions", - funcname="recalibrate_proba", - ) - sample_failure = True - if n_samples < min_samples: # WARN if negative class lacks enough samples - warning_str = f"param min_samples={min_samples}; insufficient number of negatively labled samples" - _warn( - warning_str, - RuntimeWarning, - filename="base_functions", - funcname="recalibrate_proba", - ) - if require_min_samples and sample_failure: - warning_str = f"Recalibrate proba halted. to recalibrate, try using more samples, lowering min_samples, or set require_min_samples to False" - _warn( - warning_str, - RuntimeWarning, - filename="base_functions", - funcname="recalibrate_proba", - ) - return - """ - -def additive_smoothed_rates(counts, alpha=1.0): - """ counts : iterable of values - e.g. (2, 0) - alpha : float, default=1.0 - additive smoothing parameter - return : iterable - smoothed rates e.g. (0.75, 0.25) - """ - n_counts = len(counts) - denom = sum(counts) + (alpha * n_counts) - res = [((val+alpha) / denom) for val in counts] - #print(res) - #type_ = type(counts) - #return type_(res) - return res - - ################### - ##### METRICS ##### - ################### - - -def gain(before, after, pos_df, neg_df): - """Calculates the information gain from before to after.""" - p0count = before.num_covered(pos_df) # tp - p1count = after.num_covered(pos_df) # tp after action step - n0count = before.num_covered(neg_df) # fn - n1count = after.num_covered(neg_df) # fn after action step - return p1count * ( - math.log2((p1count + 1) / (p1count + n1count + 1)) - - math.log2((p0count + 1) / (p0count + n0count + 1)) - ) - - -def gain_cn(cn, cond_step, rule_covers_pos_idx, rule_covers_neg_idx): - """Calculates the information gain from adding a Cond.""" - p0count = len(rule_covers_pos_idx) # tp - p1count = len( - cn.cond_covers(cond_step, subset=rule_covers_pos_idx) - ) # tp after action step - n0count = len(rule_covers_neg_idx) # fn - n1count = len( - cn.cond_covers(cond_step, subset=rule_covers_neg_idx) - ) # fn after action step - return p1count * ( - math.log2((p1count + 1) / (p1count + n1count + 1)) - - math.log2((p0count + 1) / (p0count + n0count + 1)) - ) - - -def precision(object, pos_df, neg_df): - """Calculate precision value of object's classification. - - object : Cond, Rule, or Ruleset - """ - - pos_covered = object.covers(pos_df) - neg_covered = object.covers(neg_df) - total_n_covered = len(pos_covered) + len(neg_covered) - if total_n_covered == 0: - return None - else: - return len(pos_covered) / total_n_covered - - -def rule_precision_cn(cn, rule, pos_idx, neg_idx): - """Calculate precision value of object's classification. - - object : Cond, Rule, or Ruleset - """ - - pos_covered = cn.rule_covers(rule, pos_idx) - neg_covered = cn.rule_covers(rule, neg_idx) - total_n_covered = len(pos_covered) + len(neg_covered) - if total_n_covered == 0: - return None - else: - return len(pos_covered) / total_n_covered - - -def score_accuracy(predictions, actuals): - """Calculate accuracy score of a trained model on a test set. - - predictions : iterable - True for predicted positive class, False otherwise. - actuals : iterable - True for actual positive class, False otherwise. - """ - t = [pr for pr, act in zip(predictions, actuals) if pr == act] - n = predictions - return len(t) / len(n) - - -def _accuracy(object, pos_pruneset, neg_pruneset): - """Calculate accuracy value of object's classification. - - object : Cond, Rule, or Ruleset - """ - P = len(pos_pruneset) - N = len(neg_pruneset) - if P + N == 0: - return None - - tp = len(object.covers(pos_pruneset)) - tn = N - len(object.covers(neg_pruneset)) - return (tp + tn) / (P + N) - - -def _rule_accuracy_cn(cn, rule, pos_pruneset_idx, neg_pruneset_idx): - """Calculate accuracy value of object's classification. - - object: Cond, Rule, or Ruleset - """ - P = len(pos_pruneset_idx) - N = len(neg_pruneset_idx) - if P + N == 0: - return None - - tp = len(cn.rule_covers(rule, pos_pruneset_idx)) - tn = N - len(cn.rule_covers(rule, neg_pruneset_idx)) - return (tp + tn) / (P + N) - - -def best_successor(rule, possible_conds, pos_df, neg_df, verbosity=0): - """Return for a Rule its best successor Rule according to FOIL information gain metric.""" - - best_gain = 0 - best_successor_rule = None - - for successor in rule.successors(possible_conds, pos_df, neg_df): - g = gain(rule, successor, pos_df, neg_df) - if g > best_gain: - best_gain = g - best_successor_rule = successor - if verbosity >= 5: - print(f"gain {rnd(best_gain)} {best_successor_rule}") - return best_successor_rule - - -def best_rule_successor_cn(cn, rule, pos_idx, neg_idx, verbosity=0): - """Return for a Rule its best successor Rule according to FOIL information gain metric.""" - - best_cond = None - best_gain = float("-inf") - - rule_covers_pos_idx = cn.rule_covers(rule, pos_idx) - rule_covers_neg_idx = cn.rule_covers(rule, neg_idx) - - for cond_action_step in cn.conds: - g = gain_cn(cn, cond_action_step, rule_covers_pos_idx, rule_covers_neg_idx) - if g > best_gain: - best_gain = g - best_cond = cond_action_step - if verbosity >= 5: - print(f"gain {rnd(best_gain)} {best_cond}") - return Rule(rule.conds + [best_cond]) if best_gain > 0 else None - - -################### -##### HELPERS ##### -################### - - -def pos_neg_split(df, class_feat, pos_class): - """Split df into pos and neg classes.""" - pos_df = pos(df, class_feat, pos_class) - neg_df = neg(df, class_feat, pos_class) - return pos_df, neg_df - - -def df_shuffled_split(df, split_size=0.66, random_state=None): - """Return tuple of shuffled and split DataFrame. - - split_size : float - Proportion of rows to include in return[0]. - random_state : float, default=None - Random seed. - - Returns - Tuple of shuffled and split DataFrame. - """ - idx1, idx2 = random_split( - df.index, split_size, res_type=set, random_state=random_state - ) - return df.loc[idx1, :], df.loc[idx2, :] - - -def set_shuffled_split(set_to_split, split_size, random_state=None): - """Return tuple of shuffled and split set. - - split_size : float - Proportion of set to include in return[0]. - random_state : float, default=None - Random seed. - - Returns - Tuple of shuffled and split DataFrame. - """ - list_to_split = list(set_to_split) - seed(random_state) - shuffle(list_to_split) - split_at = int(len(list_to_split) * split_size) - return (set(list_to_split[:split_at]), set(list_to_split[split_at:])) - - -def random_split(to_split, split_size, res_type=set, random_state=None): - """Return tuple of shuffled and split iterable. - - to_split : iterable - What to shuffle and split. - split_size : float - Proportion to include in return[0]. - res_type : type - Type of items to return. - random_state : float, default=None - Random seed. - Returns - Tuple of shuffled and split DataFrame. - """ - to_split = list(to_split) - seed(random_state) - shuffle(to_split) - split_at = int(len(to_split) * split_size) - return (res_type(to_split[:split_at]), res_type(to_split[split_at:])) - - -def pos(df, class_feat, pos_class): - """Return subset of instances that are labeled positive.""" - return df[df[class_feat] == pos_class] - - -def neg(df, class_feat, pos_class): - """Return subset of instances that are labeled negative.""" - return df[df[class_feat] != pos_class] - - -def num_pos(df, class_feat, pos_class): - """Return number of instances that are labeled positive.""" - return len(df[df[class_feat] == pos_class]) - - -def num_neg(df, class_feat, pos_class): - """ Return number of instances that are labeled negative.""" - return len(df[df[class_feat] != pos_class]) - - -def nCr(n, r): - """Return number of combinations C(n, r).""" - - def product(numbers): - return reduce(op.mul, numbers, 1) - - num = product(range(n, n - r, -1)) - den = product(range(1, r + 1)) - return num // den - - -def argmin(iterable): - """Return index of minimum value.""" - lowest_val = iterable[0] - lowest_i = 0 - for i, val in enumerate(iterable): - if val < lowest_val: - lowest_val = val - lowest_i = i - return lowest_i - - -def i_replaced(list_, i, value): - """Return a new list with element i replaced by value. - - i : value - Index to replace with value. - value : value - Value to replace at index i. None will return original list with element i removed. - """ - if value is not None: - return list_[:i] + [value] + list_[i + 1 :] - else: - return list_[:i] + list_[i + 1 :] - - -def rm_covered(object, pos_df, neg_df): - """Return pos and neg dfs of examples that are not covered by object. - - Parameters - ---------- - object : Cond, Rule, or Ruleset - Object whose coverage predictions to invoke. - pos_df : DataFrame - Positive examples. - neg_df : DataFrame - Negative examples. - - Return - ------ - tuple - Positive and negative examples not covered by object. - """ - return ( - pos_df.drop(object.covers(pos_df).index, axis=0, inplace=False), - neg_df.drop(object.covers(neg_df).index, axis=0, inplace=False), - ) - - -def rm_rule_covers_cn(cn, rule, pos_idx, neg_idx): - """Return positive and negative indices not covered by object.""" - return ( - pos_idx - cn.rule_covers(rule, pos_idx), - neg_idx - cn.rule_covers(rule, neg_idx), - ) - - -def truncstr(iterable, limit=5, direction="left"): - """Return Ruleset string representation limited to a specified number of rules. - - limit: how many rules to return - direction: which part to return. (valid options: 'left', 'right') - """ - if len(iterable) > limit: - if direction == "left": - return iterable[:limit].__str__() + "..." - elif direction == "right": - return "..." + iterable[-limit:].__str__() - else: - raise ValueError('direction param must be "left" or "right"') - else: - return str(iterable) - - -def stop_early(ruleset, pos_remaining, neg_remaining, max_rules, min_ruleset_samples, max_total_conds): - """Function to decide whether to halt training.""" - return (max_rules is not None and len(ruleset.rules) >= max_rules) \ - or (max_total_conds is not None and ruleset.count_conds() >= max_total_conds) \ - or (min_ruleset_samples is not None and (len(pos_remaining) + len(neg_remaining) < min_ruleset_samples)) diff --git a/comparison_algs_src/wittgenstein/catnap.py b/comparison_algs_src/wittgenstein/catnap.py deleted file mode 100644 index c68acde..0000000 --- a/comparison_algs_src/wittgenstein/catnap.py +++ /dev/null @@ -1,123 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -import pandas as pd - -from .base import Cond, Rule, Ruleset - - -class CatNap: - """Optimized, in-places obnoxiously-dense code, for speeding up search of categorical features. - - "Covers" functions are intended to compute Cond/Rule/Ruleset coverage on dataset indices. - """ - - def __init__( - self, - df_or_arr, - columns=None, - feat_subset=None, - cond_subset=None, - class_feat=None, - pos_class=None, - ): - df = pd.DataFrame(df_or_arr) - - if columns: - df.columns = columns - - if class_feat is None: - self.conds = self.possible_conds(df) if cond_subset is None else cond_subset - self.cond_maps = dict( - [(c, set(c.covers(df).index.tolist())) for c in self.conds] - ) - - else: - self.conds = ( - self.possible_conds(df.drop(class_feat, axis=1)) - if cond_subset is None - else [c for c in cond_subset if c.feature != class_feat] - ) - self.cond_maps = dict( - [ - (c, set(c.covers(df.drop(class_feat, axis=1)).index.tolist())) - for c in self.conds - ] - ) - - self.num_conds = len(self.conds) - self.num_idx = len(df) - self.all = set(df.index.tolist()) - - def __str__(self): - return ( - f"" - ) - - __repr__ = __str__ - - def cond_covers(self, cond, subset=None): - return ( - self.cond_maps.get(cond, set()) - if subset is None - else self.cond_maps.get(cond, set()).intersection(subset) - ) - - def rule_covers(self, rule, subset=None): - if rule.conds: - covered = set.intersection( - *[self.cond_maps.get(c, set()) for c in rule.conds] - ) - return covered if subset is None else covered.intersection(subset) - else: - return self.all if subset is None else self.all.intersection(subset) - - def ruleset_covers(self, ruleset, subset=None): - allpos, allneg = ruleset._check_allpos_allneg(warn=False) - if allpos: - return self.all if not subset else subset - elif allneg: - return set() - else: - return ( - set.union( - *[ - set.intersection( - *[self.cond_maps.get(c, set()) for c in r.conds] - ) - for r in ruleset - ] - ) - if subset is None - else set.union( - *[ - set.intersection( - *[self.cond_maps.get(c, set()) for c in r.conds] - ) - for r in ruleset - ] - ).intersection(subset) - ) - - def to_df(self, coverage): - return df.loc[sorted(list(coverage))] - - def possible_conds(self, df): - conds = [] - for feat in df.columns.values: - for val in df[feat].unique(): - conds.append(Cond(feat, val)) - return conds - - def pos_idx_neg_idx( - self, df=None, class_feat=None, pos_class=None, pos_df=None, neg_df=None - ): - """Pass in df, pos_class, and class_feat or pos_df and neg_df.""" - if pos_df is None and neg_df is None: - pos_df = df[df[class_feat] == pos_class] - neg_df = df[df[class_feat] != pos_class] - - pos_idx = set(pos_df.index.tolist()) - neg_idx = set(neg_df.index.tolist()) - - return pos_idx, neg_idx diff --git a/comparison_algs_src/wittgenstein/check.py b/comparison_algs_src/wittgenstein/check.py deleted file mode 100644 index 81c2850..0000000 --- a/comparison_algs_src/wittgenstein/check.py +++ /dev/null @@ -1,106 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -import warnings - - -def _warn(message, category, filename, funcname, warnstack=[]): - """Prettier version of warnings warnings. - - warnstack: (optional) list of tuples of filename and function(s) calling the function where warning occurs. - """ - message = "\n" + message + "\n" - filename += ".py" - funcname = " ." + funcname - if warnstack: - filename = ( - str( - [ - stack_filename + ".py: ." + stack_funcname + " | " - for stack_filename, stack_funcname in warnstack - ] - ) - .strip("[") - .strip("]") - .strip(" ") - .strip("'") - + filename - ) - warnings.showwarning(message, category, filename=filename, lineno=funcname) - - -def _check_any_datasets_not_empty(datasets): - return any([len(dataset) > 0 for dataset in datasets]) - - -def _check_is_model_fit(model): - if not hasattr(model, "ruleset_"): - raise AttributeError( - "You should fit the ruleset classifier with .fit method before making predictions with it." - ) - -def _check_all_of_type(iterable, type_): - wrong_type_objects = [] - for object in iterable: - if not isinstance(object, type_): - wrong_type_objects.append(object) - if wrong_type_objects: - wrong_info = [(object, type(object).__name__) for object in wrong_type_objects] - raise TypeError(f"Objects must be of type {type_}: {wrong_info}") - -def _check_param_deprecation(kwargs, parameters): - passed_parameters = [] - for param in kwargs.keys(): - if param in parameters: - passed_parameters.append(param) - if passed_parameters: - _warn( - f".fit: In the future, define parameters: {passed_parameters} during IREP/RIPPER object initialization instead of during model fitting.", - DeprecationWarning, - "irep/ripper", - "fit", - ) - -def _check_model_features_present(df, model_selected_features): - df_feats = df.columns.tolist() - missing_feats = [f for f in model_selected_features if f not in df_feats] - if missing_feats: - raise IndexError( - f"The features selected by Ruleset model need to be present in prediction dataset. Provided features: {df_feats}.\nMissing features: {missing_feats}.\nEither ensure prediction dataset includes all Ruleset-selected features. If features are present under different names, you can use parameter 'feature_names'.\n" - ) - -def _warn_only_single_class(only_value, pos_class, filename, funcname): - missing_class = "positive" if only_value != pos_class else "negative" - warning_str = f"No {missing_class} samples. All target labels={only_value}." - _warn( - warning_str, RuntimeWarning, filename=filename, funcname=funcname, - ) - -def _check_df_allpos_allneg(df, class_feat, pos_class, filename=None, funcname=None): - if not any([label==pos_class for label in df[class_feat]]): - warning_str = f"No positive samples. Existing target labels={df[class_feat].unique().tolist()}." - _warn(warning_str, RuntimeWarning, filename=filename, funcname=funcname) - elif all([label==pos_class for label in df[class_feat]]): - warning_str = f"No negative samples. Existing target labels={df[class_feat].unique().tolist()}." - _warn(warning_str, RuntimeWarning, filename=filename, funcname=funcname) - -def _check_valid_index(index, iterable, source_func): - if index < 0 or index >= len(iterable): - raise IndexError( - f"{source_func}: {index} is out of range; {iterable} is of length {len(iterable)}" - ) - -def _check_rule_exists(rule, ruleset, source_func): - for r in ruleset: - if r == rule: - return - raise ValueError( - f"{source_func}: couldn't find Rule named '{rule}' in Ruleset: '{ruleset}'" - ) - -def is_valid_decimal(s): - try: - float(s) - except: - return False - return True diff --git a/comparison_algs_src/wittgenstein/discretize.py b/comparison_algs_src/wittgenstein/discretize.py deleted file mode 100644 index 4de24ae..0000000 --- a/comparison_algs_src/wittgenstein/discretize.py +++ /dev/null @@ -1,283 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -from copy import deepcopy -from collections import defaultdict -import numpy as np -import pandas as pd - -from wittgenstein.base_functions import truncstr -from wittgenstein.utils import rnd -from wittgenstein.check import _warn, is_valid_decimal - -class BinTransformer: - def __init__(self, n_discretize_bins=10, names_precision=2, verbosity=0): - self.n_discretize_bins = n_discretize_bins - self.names_precision = names_precision - self.verbosity = verbosity - self.bins_ = None - - def __str__(self): - return str(self.bins_) - - __repr__ = __str__ - - def __bool__(self): - return not not self.bins_ - - def isempty(self): - return not self.bins_ is None and not self.bins_ - - def fit_or_fittransform_(self, df, ignore_feats=[]): - """Transform df using pre-fit bins, or, if unfit, fit self and transform df""" - - # Binning has already been fit - if self.bins_: - return self.transform(df) - - # Binning disabled - elif not self.n_discretize_bins: - return df - - # Binning enabled, and binner needs to be fit - else: - self.fit(df, ignore_feats=ignore_feats) - df, bins = self.transform(df, ignore_feats=ignore_feats) - self.bins = bins - return df - - def fit_transform(self, df, ignore_feats=[]): - self.fit(df, ignore_feats=ignore_feats) - return self.transform(df) - - def fit(self, df, output=False, ignore_feats=[]): - """ - Returns a dict defining fits for numerical features - A fit is an ordered list of tuples defining each bin's range (min is exclusive; max is inclusive) - - Returned dict allows for fitting to training data and applying the same fit to test data - to avoid information leak. - """ - - def _fit_feat(df, feat): - """Return list of tuples defining bin ranges for a numerical feature using simple linear search""" - - if len(df) == 0: - return [] - - n_discretize_bins = min(self.n_discretize_bins, len(df[feat].unique())) - - # Collect intervals - bins = pd.qcut( - df[feat], - q=self.n_discretize_bins, - precision=self.names_precision, - duplicates="drop", - ) - if ( - len(bins.unique()) < 2 - ): # qcut can behave weirdly in heavily-skewed distributions - bins = pd.cut( - df[feat], - bins=self.n_discretize_bins, - precision=self.names_precision, - duplicates="drop", - ) - - # Drop empty bins and duplicate intervals to create bins - bin_counts = bins.value_counts() - bins = bin_counts[bin_counts > 0].index - bins = sorted(bins.unique()) - - # Extend min/max to -inf, +inf to capture any ranges not present in training set - bins[0] = pd.Interval(float("-inf"), bins[0].right) - bins[-1] = pd.Interval(bins[-1].left, float("inf")) - bins = self._intervals_to_strs(bins) - - if self.verbosity >= 3: - print( - f"{feat}: fit {len(df[feat].unique())} unique vals into {len(bins)} bins" - ) - return bins - - # Begin fitting - feats_to_fit = self.find_continuous_feats(df, ignore_feats=ignore_feats) - - if feats_to_fit: - if self.verbosity == 1: - print(f"discretizing {len(feats_to_fit)} features") - elif self.verbosity == 2: - print(f"discretizing {len(feats_to_fit)} features: {feats_to_fit}\n") - - self.bins_ = {} - for feat in feats_to_fit: - self.bins_[feat] = _fit_feat(df, feat) - return self.bins_ - - def transform(self, df): - """Transform DataFrame using fit bins.""" - - def _transform_feat(df, feat): - - if self.bins_ is None: - return df - - res = deepcopy(df[feat]) - bins = self._strs_to_intervals(self.bins_[feat], feat) - res = pd.cut(df[feat], bins=pd.IntervalIndex(bins)) - res = res.map( - lambda x: {i: s for i, s in zip(bins, self.bins_[feat])}.get(x) - ) - return res - - # Exclude any feats already transformed into valid intervals - already_transformed_feats = self._find_transformed(df, raise_invalid=True) - - res = df.copy() - for feat in self.bins_.keys(): - if feat in res.columns and feat not in already_transformed_feats: - res[feat] = _transform_feat(res, feat) - return res - - def find_continuous_feats(self, df, ignore_feats=[]): - """Return names of df features that seem to be continuous.""" - - if not self.n_discretize_bins: - return [] - - # Find numeric features - cont_feats = df.select_dtypes(np.number).columns - - # Remove discrete features - cont_feats = [ - f for f in cont_feats if len(df[f].unique()) > self.n_discretize_bins - ] - - # Remove ignore features - cont_feats = [f for f in cont_feats if f not in ignore_feats] - - return cont_feats - - def _strs_to_intervals(self, strs, feat): - return [self._str_to_interval(s, feat) for s in strs] - - def _str_to_interval(self, s, feat): - floor, ceil = self._str_to_floor_ceil(s, feat) - return pd.Interval(floor, ceil) - - def _intervals_to_strs(self, intervals): - """Replace a list of intervals with their string representation.""" - return [self._interval_to_str(interval) for interval in intervals] - - def _interval_to_str(self, interval): - if interval.left == float("-inf"): - return f"<{interval.right}" - elif interval.right == float("inf"): - return f">{interval.left}" - else: - return f"{interval.left} - {interval.right}" - - def _str_to_floor_ceil(self, value, feat): - """Find min, max separated by a dash""" # . Return None if invalid pattern.""" - if "<" in value: - floor, ceil = "-inf", value.replace("<", "") - elif ">" in value: - floor, ceil = value.replace(">", ""), "inf" - else: - floor, ceil = self.find_floor_ceil(value, feat) - return float(floor), float(ceil) - - def find_floor_ceil(self, value, feat): - """find min, max separated by a dash. Return None if invalid pattern.""" - # try new method - splits = value.split(' - ') - if len(splits) == 2: - return splits[0], splits[1] - - dashes = [] - for i, char in enumerate(value): - # Found a possible split and it's not the first number's minus sign - if char == "-" and i != 0: - dashes.append(i) - if len(dashes) > 1: - dashes = [idx for idx in dashes if not self._maybeexp_idx(value, idx)] - elif len(dashes) == 1: - split_idx = dashes[0] - floor = value[:split_idx] - ceil = value[split_idx + 1 :] - else: - _warn(f"{dashes} there was a problem parsing range in string {value} feature {feat}", RuntimeWarning, 'discretize', 'find_floor_ceil') - return None - if is_valid_decimal(floor) and is_valid_decimal(ceil): - return (floor, ceil) - else: - print('dashes', dashes) - _warn(f"{dashes} there was a problem parsing range in string {value} feature {feat}. {floor} or {ceil} isn't parsable as a float.", RuntimeWarning, 'discretize', 'find_floor_ceil') - return None - - def construct_from_ruleset(self, ruleset): - MIN_N_DISCRETIZED_BINS = 10 - - bt = BinTransformer() - bt.bins_ = self._bin_prediscretized_features(ruleset) - bt.n_discretize_bins = ( - max( - (MIN_N_DISCRETIZED_BINS, max([len(bins) for bins in bt.bins_.values()])) - ) - if bt.bins_ - else MIN_N_DISCRETIZED_BINS - ) - bt.names_precision = self._max_dec_precision(bt.bins_) - return bt - - def _bin_prediscretized_features(self, ruleset): - discrete = defaultdict(list) - for cond in ruleset.get_conds(): - floor_ceil = self.find_floor_ceil(cond.val) - if floor_ceil: - discrete[cond.feature].append(floor_ceil) - for feat, ranges in discrete.items(): - ranges.sort(key=lambda x: float(x[0])) - return dict(discrete) - - def _max_dec_precision(self, bins_dict): - def dec_precision(value): - try: - return len(value) - value.index(".") - 1 - except: - return 0 - - max_prec = 0 - for bins in bins_dict.values(): - for bin_ in bins: - for value in bin_: - cur_prec = dec_precision(value) - if cur_prec > max_prec: - max_prec = cur_prec - return max_prec - - def _find_transformed(self, df, raise_invalid=True): - """Find columns that appear to have already been transformed. Raise error if there is a range that doesn't match a fit bin.""" - - check_feats = df.select_dtypes(include=["category", "object"]).columns.tolist() - invalid_feats = {} - transformed_feats = [] - for feat, bins in self.bins_.items(): - if feat in check_feats: - transformed_feats.append(feat) - invalid_values = set(df[feat].tolist()) - set(bins) - if invalid_values: - invalid_feats[feat] = invalid_values - if invalid_feats and raise_invalid: - raise ValueError( - f"The following input values seem to be transformed but ranges don't match fit bins: {invalid_feats}" - ) - return transformed_feats - - def _maybeexp_idx(self, s, idx): - """Is idx a possible exponent dash?""" - if s[idx] != '-' or idx <= 1 or idx >= len(s)-1: - return False - if s[idx-1] == 'e' and s[idx-2].isnumeric() and s[idx+1].isnumeric(): - return True - return False diff --git a/comparison_algs_src/wittgenstein/interpret.py b/comparison_algs_src/wittgenstein/interpret.py deleted file mode 100644 index b6187c2..0000000 --- a/comparison_algs_src/wittgenstein/interpret.py +++ /dev/null @@ -1,130 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -from wittgenstein.base_functions import score_accuracy -from wittgenstein.ripper import RIPPER -from wittgenstein import utils - - -def interpret_model( - X, - model, - interpreter=RIPPER(), - model_predict_function=None, - score_function=score_accuracy, -): - """Interpret another model using a wittgenstein interpreter as global surrogate. - - Parameters - ---------- - model : - trained classifier, e.g. sklearn, keras, pytorch, etc. - X : DataFrame, numpy array, or other iterable - Dataset upon which to interpret model's predictions. - interpreter : IREP or RIPPER object, default=RIPPER() - wittgenstein classifier to perform interpretation. - model_predict_function : function, default=None - if - score_function : function, default=score_accuracy - scoring function to evaluate how dutifully interpreter interpreted the model. - - Return - ------ - tuple : - interpreter fit to model, - scoring of how dutifully interpreter interpreted the model on training data - """ - model_preds = utils.try_np_tonum( - model_predict(X, model, model_predict_function=model_predict_function) - ) - interpreter.fit(trainset=X, y=model_preds) - interpreter.base_model = model - return interpreter.ruleset_ - - -def score_fidelity( - X, - interpreter, - model=None, - model_preds=None, - model_predict_function=None, - score_function=score_accuracy, -): - """Score how faithfully interpreter represents model. - - Parameters - ---------- - X : DataFrame, numpy array, or other iterable - Test dataset with which to score the model. - interpreter : IREP or RIPPER object, default=RIPPER() - wittgenstein classifier to perform interpretation. - model : trained sklearn, keras, pytorch, or wittgenstein, etc. classifier, default=None - either model or model_preds are required - model_preds : iterable - model predictions on X, default=None - model_predict_function : function, default=None - model's prediction function. If None, will attempt to figure it out. - score_function : function or iterable of functions, default=score_accuracy - criteria to use for scoring fidelity - - Returns - ------- - score or list of scores""" - - if model is None and model_preds is None: - raise ValueError(f"score_fidelity: You must pass a model or model predictions") - elif model_preds is None: - model_preds = utils.try_np_tonum( - model_predict(X, model, model_predict_function=model_predict_function) - ) - if not hasattr(score_function, "__iter__"): - return interpreter.score(X, model_preds, score_function) - else: - return [interpreter.score(X, model_preds, func) for func in score_function] - - -def model_predict(X, model, model_predict_function=None): - """Attempt to make predictions using model API""" - - if not model_predict_function: - if _inpackage(model, "sklearn"): - return _sklearn_predict(X, model) - elif _inpackage(model, "tensorflow") or _inpackage(model, "keras"): - return _keras_predict(X, model) - elif _inpackage(model, "torch"): - return _torch_predict(X, model) - elif _inpackage(model, "wittgenstein"): - return _wittgenstein_predict(X, model) - else: - return model.predict(X) - else: - return model_predict_function(X, model) - - -def _sklearn_predict(X, model): - return model.predict(X) - - -def _keras_predict(X, model): - return (model.predict(X) > 0.5).flatten() - - -def _torch_predict(X, model): - return model(X) - - -def _wittgenstein_predict(X, model): - return model.predict(X) - - -def _inpackage(model, str_): - return str_ in str(type(model)) - - -def _score_model( - X, y, model, score_function=score_accuracy, model_predict_function=None -): - model_preds = utils.try_np_tonum( - model_predict(X, model=model, model_predict_function=model_predict_function) - ) - return score_function(model_preds, y) diff --git a/comparison_algs_src/wittgenstein/irep.py b/comparison_algs_src/wittgenstein/irep.py deleted file mode 100644 index 1e3d7bb..0000000 --- a/comparison_algs_src/wittgenstein/irep.py +++ /dev/null @@ -1,474 +0,0 @@ -""" -Implementation of incremental reduced error pruning (IREP*) algorithm for growing classification rulesets. -See https://www.let.rug.nl/nerbonne/teach/learning/cohen95fast.pdf -""" - -# Author: Ilan Moscovitz -# License: MIT - -import copy -import numpy as np -import random - -import pandas as pd - -from wittgenstein import utils, base, base_functions, preprocess -from .catnap import CatNap -from .check import _check_param_deprecation, _check_df_allpos_allneg -from .abstract_ruleset_classifier import AbstractRulesetClassifier -from .base import Cond, Rule, Ruleset, asruleset -from .base_functions import score_accuracy, stop_early - - -class IREP(AbstractRulesetClassifier): - """ Class for generating ruleset classification models. """ - - def __init__( - self, - prune_size=0.33, - n_discretize_bins=10, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - alpha=1.0, - random_state=None, - verbosity=0, - ): - """Create an IREP classifier. - - Parameters - ---------- - prune_size : int, default=.33 - Proportion of training set to be used for pruning. Set to None to skip pruning (not recommended). - n_discretize_bins : int, default=10 - Fit apparent numeric attributes into a maximum of n_discretize_bins discrete bins, inclusive on upper part of range. Pass None to disable auto-discretization. - - Limits for early-stopping. Intended for enhancing model interpretability and limiting training time on noisy datasets. Not specifically intended for use as a hyperparameter, since pruning already occurs during training, though it is certainly possible that tuning could improve model performance. - max_rules : int, default=None - Maximum number of rules. - min_rule_samples : int, defulat=None - Minimum number of covered samples per rule before halting rule growth. - min_ruleset_samples : int, default=None - Minimum number of samples per rule before halting ruleset growth. - max_rule_conds : int, default=None - Maximum number of conds per rule. - max_total_conds : int, default=None - Maximum number of total conds in entire ruleset. - - random_state : int, default=None - Random seed for repeatable results. - verbosity : int, default=0 - Output progress, model development, and/or computation. Each level includes the information belonging to lower-value levels. - 1: Show results of each major phase - 2: Show Ruleset grow/optimization steps - 3: Show Ruleset grow/optimization calculations - 4: Show Rule grow/prune steps - 5: Show Rule grow/prune calculations - - """ - AbstractRulesetClassifier.__init__( - self, - algorithm_name="IREP", - prune_size=prune_size, - n_discretize_bins=n_discretize_bins, - max_rules=max_rules, - min_rule_samples=min_rule_samples, - min_ruleset_samples=min_ruleset_samples, - max_rule_conds=max_rule_conds, - max_total_conds=max_total_conds, - alpha=alpha, - random_state=random_state, - verbosity=verbosity, - ) - - def __str__(self): - """Returns string representation.""" - return super().__str__() - - def out_model(self): - """Prints trained Ruleset model line-by-line: V represents 'or'; ^ represents 'and'.""" - super().out_model() - - def fit( - self, - trainset, - y=None, - class_feat=None, - pos_class=None, - feature_names=None, - initial_model=None, - cn_optimize=True, - **kwargs, - ): - """Fit a Ruleset model. - - Parameters - ---------- - trainset : DataFrame, numpy array, or other iterable - Training dataset. Optional whether to include or exclude class labels column. - y : iterable of str, int, bool - Class labels corresponding to trainset rows. Use if class labels aren't included in trainset. - class_feat: str, int - Column name or index of class feature. Use if class feature is still in trainset. - pos_class : str, optional for boolean target, default=1 or True - Name of positive class. - feature_names : list, optional, default=None - Specify feature names. If None, feature names default to column names for a DataFrame, or indices in the case of indexed iterables such as an array or list. - initial_model : Ruleset, str, IREP or RIPPER, default=None - Preexisting model from which to begin training. See also 'init_ruleset'. - cn_optimize : bool, default=True - Use algorithmic speed optimization. - - **kwargs - -------- - The following parameters are moving to the RIPPER constructor (__init__) function. For the time-being, both the constructor and fit functions will accept them, but passing them here using .fit will be deprecated: - - prune_size : float, default=.33 - Proportion of training set to be used for pruning. - n_discretize_bins : int, default=10 - Fit apparent numeric attributes into a maximum of n_discretize_bins discrete bins, inclusive on upper part of range. Pass None to disable auto-discretization. - random_state : int, default=None - Random seed for repeatable results. - - Limits for early-stopping. Intended for enhancing model interpretability and limiting training time on noisy datasets. Not specifically intended for use as a hyperparameter, since pruning already occurs during training, though it is certainly possible that tuning could improve model performance. - max_rules : int, default=None - Maximum number of rules. - max_rule_conds : int, default=None - Maximum number of conds per rule. - max_total_conds : int, default=None - Maximum number of total conds in entire ruleset. - - verbosity : int, default=0 - Output progress, model development, and/or computation. Each level includes the information belonging to lower-value levels. - 1: Show results of each major phase - 2: Show Ruleset grow/optimization steps - 3: Show Ruleset grow/optimization calculations - 4: Show Rule grow/prune steps - 5: Show Rule grow/prune calculations - """ - - # SETUP - self.ruleset_ = Ruleset() if not initial_model else asruleset(initial_model) - - if self.verbosity >= 1: - print("initialize model") - print(self.ruleset_) - - # Handle any hyperparam deprecation - self._set_deprecated_fit_params(kwargs) - - # Preprocess training data - preprocess_params = { - "trainset": trainset, - "y": y, - "class_feat": class_feat, - "pos_class": pos_class, - "feature_names": feature_names, - "n_discretize_bins": self.n_discretize_bins, - "verbosity": self.verbosity, - } - ( - df, - self.class_feat, - self.pos_class, - self.bin_transformer_, - ) = preprocess.preprocess_training_data(preprocess_params) - - # Create CatNap - # possible minor speedup if pass cond_subset of only pos_class conds? - if cn_optimize: - self.cn = CatNap( - df, - feat_subset=None, - cond_subset=None, - class_feat=self.class_feat, - pos_class=None, - ) - - # Split df into pos, neg classes - pos_df, neg_df = base_functions.pos_neg_split( - df, self.class_feat, self.pos_class - ) - pos_df = pos_df.drop(self.class_feat, axis=1) - neg_df = neg_df.drop(self.class_feat, axis=1) - - # Warnings - _check_df_allpos_allneg(df, self.class_feat, self.pos_class, 'irep', 'fit') - - # TRAINING - if self.verbosity >= 1: - print("\ntraining Ruleset...") - if not cn_optimize: - self.ruleset_ = self._grow_ruleset( - pos_df, neg_df, initial_model=initial_model - ) - else: - self.ruleset_ = self._grow_ruleset_cn( - pos_df, neg_df, initial_model=initial_model - ) - - if self.verbosity >= 1: - print("\nGREW RULESET:") - self.ruleset_.out_pretty() - - # Issue warning if Ruleset is universal or empty - self.ruleset_._check_allpos_allneg(warn=True, warnstack=[("irep", "fit")]) - - # Set selected and trainset features - self.selected_features_ = self.ruleset_.get_selected_features() - self.trainset_features_ = df.drop(self.class_feat, axis=1).columns.tolist() - - # FIT PROBAS - self.recalibrate_proba( - df, min_samples=1, require_min_samples=False, discretize=False - ) - - # CLEANUP - self.classes_ = np.array([0, 1]) - - # Remove any duplicates and trim - self.ruleset_.rules = utils.remove_duplicates(self.ruleset_.rules) - self.ruleset_.trim_conds(max_total_conds=self.max_total_conds) - if cn_optimize: - del self.cn - - def _grow_ruleset(self, pos_df, neg_df, initial_model=None): - """Grow a Ruleset with (optional) pruning.""" - - ruleset = self._ruleset_frommodel(initial_model) - ruleset._update_possible_conds(pos_df, neg_df) - - if self.verbosity >= 2: - print("growing ruleset...") - print(f"initial model: {ruleset}") - print() - - prune_size = ( - self.prune_size if self.prune_size is not None else 0 - ) # If not pruning, use all the data for growing - pos_remaining = pos_df.copy() - neg_remaining = neg_df.copy() - self.rules = [] - - # Stop adding disjunctions if there are no more positive examples to cover - while len(pos_remaining) > 0: - - # If applicable, check for user-specified early stopping - if stop_early(ruleset, pos_remaining, neg_remaining, - self.max_rules, self.min_ruleset_samples, self.max_total_conds): - break - - # Grow-prune split remaining uncovered examples (if applicable) - pos_growset, pos_pruneset = base_functions.df_shuffled_split( - pos_remaining, (1 - prune_size), random_state=self.random_state - ) - neg_growset, neg_pruneset = base_functions.df_shuffled_split( - neg_remaining, (1 - prune_size), random_state=self.random_state - ) - if self.verbosity >= 2: - print( - f"pos_growset {len(pos_growset)} pos_pruneset {len(pos_pruneset)}" - ) - print( - f"neg_growset {len(neg_growset)} neg_pruneset {len(neg_pruneset)}" - ) - if not prune_size: - print(f"(pruning is turned off)") - - # Grow Rule - grown_rule = base_functions.grow_rule( - pos_growset, - neg_growset, - ruleset.possible_conds, - min_rule_samples=self.min_rule_samples, - max_rule_conds=self.max_rule_conds, - verbosity=self.verbosity, - ) - - # If not pruning, add Rule to Ruleset and drop only the covered positive examples - if not prune_size: - ruleset.add(grown_rule) - if self.verbosity >= 2: - print(f"updated ruleset: {ruleset.truncstr(direction='right')}") - print() - rule_covers_pos = grown_rule.covers(pos_remaining) - pos_remaining = pos_remaining.drop(rule_covers_pos.index, axis=0) - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining)} pos, {len(neg_remaining)} neg" - ) - print() - - # If pruning, prune Rule, assess if it's time to stop, and drop all covered examples - else: - pruned_rule = base_functions.prune_rule( - grown_rule, - _IREP_prune_metric, - pos_pruneset, - neg_pruneset, - verbosity=self.verbosity, - ) - - # Stop if the Rule is bad - prune_precision = base_functions.precision( - pruned_rule, pos_pruneset, neg_pruneset - ) - if not prune_precision or prune_precision < 0.50: - break - # Otherwise, add new Rule, remove covered examples, and continue - else: - ruleset.add(pruned_rule) - if self.verbosity >= 2: - print(f"updated ruleset: {ruleset.truncstr(direction='right')}") - print() - pos_remaining, neg_remaining = base_functions.rm_covered( - pruned_rule, pos_remaining, neg_remaining - ) - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining)} pos, {len(neg_remaining)} neg" - ) - print() - - # Return new ruleset - return ruleset - - def _grow_ruleset_cn(self, pos_df, neg_df, initial_model=None): - """Grow a Ruleset with (optional) pruning.""" - - ruleset = self._ruleset_frommodel(initial_model) - ruleset.possible_conds = self.cn.conds - - if self.verbosity >= 2: - print("growing ruleset...") - print(initial_model) - print(f"initial model: {ruleset}") - print() - - prune_size = ( - self.prune_size if self.prune_size is not None else 0 - ) # If not pruning, use all the data for growing - pos_remaining_idx = set(pos_df.index.tolist()) - neg_remaining_idx = set(neg_df.index.tolist()) - - # Stop adding disjunctions if there are no more positive examples to cover - while len(pos_remaining_idx) > 0: - - # If applicable, check for user-specified early stopping - if stop_early(ruleset, pos_remaining_idx, neg_remaining_idx, - self.max_rules, self.min_ruleset_samples, self.max_total_conds): - break - - # Grow-prune split remaining uncovered examples (if applicable) - pos_growset_idx, pos_pruneset_idx = base_functions.random_split( - pos_remaining_idx, - (1 - prune_size), - res_type=set, - random_state=self.random_state, - ) - neg_growset_idx, neg_pruneset_idx = base_functions.random_split( - neg_remaining_idx, - (1 - prune_size), - res_type=set, - random_state=self.random_state, - ) - - if self.verbosity >= 2: - print( - f"pos_growset {len(pos_growset_idx)} pos_pruneset {len(pos_pruneset_idx)}" - ) - print( - f"neg_growset {len(neg_growset_idx)} neg_pruneset {len(neg_pruneset_idx)}" - ) - if not prune_size: - print(f"(pruning is turned off)") - - # Grow Rule - grown_rule = base_functions.grow_rule_cn( - self.cn, - pos_growset_idx, - neg_growset_idx, - initial_rule=Rule(), - min_rule_samples=self.min_rule_samples, - max_rule_conds=self.max_rule_conds, - verbosity=self.verbosity, - ) - - # If not pruning, add Rule to Ruleset and drop only the covered positive examples - if not prune_size: - ruleset.add(grown_rule) - if self.verbosity >= 2: - print(f"updated ruleset: {ruleset.truncstr(direction='right')}") - print() - pos_remaining_idx = pos_remaining_idx - self.cn.rule_covers( - grown_rule, pos_remaining_idx - ) - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining_idx)} pos, {len(neg_remaining_idx)} neg" - ) - print() - - # If pruning, prune Rule, assess if it's time to stop, and drop all covered examples - else: - pruned_rule = base_functions.prune_rule_cn( - self.cn, - grown_rule, - _IREP_prune_metric_cn, - pos_pruneset_idx, - neg_pruneset_idx, - verbosity=self.verbosity, - ) - - # Stop if the Rule is bad - prune_precision = base_functions.rule_precision_cn( - self.cn, pruned_rule, pos_pruneset_idx, neg_pruneset_idx - ) - if not prune_precision or prune_precision < 0.50: - break - # Otherwise, add new Rule, remove covered examples, and continue - else: - ruleset.add(pruned_rule) - if self.verbosity >= 2: - print(f"updated ruleset: {ruleset.truncstr(direction='right')}") - print() - # Remove ruleset-covered rules from training - ( - pos_remaining_idx, - neg_remaining_idx, - ) = base_functions.rm_rule_covers_cn( - self.cn, pruned_rule, pos_remaining_idx, neg_remaining_idx - ) - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining_idx)} pos, {len(neg_remaining_idx)} neg" - ) - print() - - # Return new ruleset - return ruleset - - -##### Metrics ##### - - -def _IREP_prune_metric(self, pos_pruneset, neg_pruneset): - """Returns the prune value of a candidate Rule.""" - - P = len(pos_pruneset) - N = len(neg_pruneset) - p = self.num_covered(pos_pruneset) - n = self.num_covered(neg_pruneset) - return (p + (N - n)) / (P + N) - - -def _IREP_prune_metric_cn(cn, rule, pos_idxs, neg_idxs): - """Returns the prune value of a candidate Rule.""" - - P = len(pos_idxs) - N = len(neg_idxs) - p = len(cn.rule_covers(rule, pos_idxs)) - n = len(cn.rule_covers(rule, neg_idxs)) - return (p + (N - n)) / (P + N) diff --git a/comparison_algs_src/wittgenstein/preprocess.py b/comparison_algs_src/wittgenstein/preprocess.py deleted file mode 100644 index 6c9c974..0000000 --- a/comparison_algs_src/wittgenstein/preprocess.py +++ /dev/null @@ -1,332 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -import numpy as np - -import pandas as pd - -from wittgenstein.check import ( - _check_any_datasets_not_empty, - _check_model_features_present, - _warn_only_single_class, -) -from wittgenstein.discretize import BinTransformer -from wittgenstein import utils - - -def preprocess_training_data(preprocess_params): - - # Get params - trainset = preprocess_params["trainset"] - y = preprocess_params["y"] - class_feat = preprocess_params["class_feat"] - pos_class = preprocess_params["pos_class"] - user_requested_feature_names = preprocess_params["feature_names"] - n_discretize_bins = preprocess_params["n_discretize_bins"] - verbosity = preprocess_params["verbosity"] - - # Error check - _check_valid_input_data( - trainset, - y, - class_feat, - user_requested_feature_names=user_requested_feature_names, - ) - - # Determine class_feat - class_feat = _get_class_feat_name(class_feat, y) - - # Build new DataFrame containing both X and y. - df = _convert_to_training_df( - trainset, - y, - class_feat, - user_requested_feature_names=user_requested_feature_names, - ) - - # Define pos_class - pos_class = _get_pos_class(df, class_feat, pos_class) - - # Infer correct datatypes - df = df.infer_objects() - - # Bin, if necessary - bin_transformer_ = BinTransformer( - n_discretize_bins=n_discretize_bins, verbosity=verbosity - ) - df = bin_transformer_.fit_transform(df, ignore_feats=[class_feat]) - - # Done - return df, class_feat, pos_class, bin_transformer_ - - -def preprocess_prediction_data(preprocess_params): - - X = preprocess_params["X"] - class_feat = preprocess_params["class_feat"] - pos_class = preprocess_params["pos_class"] - user_requested_feature_names = preprocess_params["user_requested_feature_names"] - selected_features_ = preprocess_params["selected_features_"] - trainset_features_ = preprocess_params["trainset_features_"] - bin_transformer_ = preprocess_params["bin_transformer_"] - verbosity = preprocess_params["verbosity"] - - # Error check - _check_valid_input_data( - X, - y=None, - class_feat=class_feat, - requires_label=False, - user_requested_feature_names=user_requested_feature_names, - ) - - # Build new DataFrame containing both X and y. - df = _convert_to_prediction_df( - X, - class_feat=class_feat, - user_requested_feature_names=user_requested_feature_names, - ) - - # Make sure selected features are present - _check_model_features_present(df, selected_features_) - - # Infer correct datatypes - df = df.infer_objects() - - # Bin, if necessary - if bin_transformer_: - df = bin_transformer_.transform(df) - - # Done - return df - - -def _preprocess_recalibrate_proba_data(preprocess_params): - - # Get params - X_or_Xy = preprocess_params["X_or_Xy"] - y = preprocess_params["y"] - class_feat = preprocess_params["class_feat"] - pos_class = preprocess_params["pos_class"] - user_requested_feature_names = preprocess_params["user_requested_feature_names"] - bin_transformer_ = preprocess_params["bin_transformer_"] - verbosity = preprocess_params["verbosity"] - - # Error check - _check_valid_input_data( - X_or_Xy, - y, - class_feat, - user_requested_feature_names=user_requested_feature_names, - ) - - # Build new DataFrame containing both X and y. - df = _convert_to_training_df( - X_or_Xy, - y, - class_feat, - user_requested_feature_names=user_requested_feature_names, - ) - - # Infer correct datatypes - df = df.infer_objects() - - # Bin, if necessary - if bin_transformer_: - df = bin_transformer_.transform(df) - - # Done - return df - - -def _preprocess_y_score_data(y): - """Return python iterable of y values.""" - - def raise_wrong_ndim(): - raise IndexError(f"y input data has wrong number dimensions. It should have 1.") - - # If it's pandas or np... - if hasattr(y, "ndim"): - if y.ndim == 1: - return y.tolist() - else: - raise_wrong_ndim() - - # Otherwise try for python iterable - if hasattr(y, "__iter__"): # it's an iterable - # No super clean way to check for 1D, but this should be pretty decent - if any([hasattr(item, "__iter__") and type(item) is not str for item in y]): - raise_wrong_ndim() - else: - return y - - # Otherwise, no idea what's going on - else: - raise TypeError( - f"Could not identify valid type for y input data: {type(y)}. Recommended types are 1D python iterable, pandas Series, or 1D numpy array." - ) - - -def _check_valid_input_data( - X_or_Xy, - y=None, - class_feat=None, - user_requested_feature_names=None, - requires_label=True, -): - - # Make sure there is data - if not _check_any_datasets_not_empty([X_or_Xy]): - raise ValueError("No data provided!") - - # If labels aren't needed, we're done - if not requires_label: - return - - # Ensure class feature is provided - if (y is None) and (class_feat is None): - raise ValueError("y or class_feat param is required") - - # Ensure target data exists if class feat is provided - if y is None: - if user_requested_feature_names is not None: - feature_names = user_requested_feature_names - elif hasattr(X_or_Xy, "columns"): - feature_names = X_or_Xy.columns - else: - feature_names = list(range(len(X_or_Xy[0]))) - - if class_feat not in feature_names: - raise IndexError( - f"Dataset does not include class feature name {class_feat}. Training set features: {feature_names}" - ) - - # If both y and class_feat provided, ensure no name mismatch between them. - if ( - y is not None - and class_feat is not None - and hasattr(y, "name") - and y.name != class_feat - ): - raise NameError( - f"Feature name mismatch between params y {y.name} and class_feat {class_feat}. Besides, you only need to provide one of them." - ) - - -def _convert_to_training_df(X_or_Xy, y, class_feat, user_requested_feature_names=None): - """Make a labeled Xy DataFrame from data.""" - - # Create df from X_or_Xy - if isinstance(X_or_Xy, pd.DataFrame): - df = X_or_Xy.copy() - else: - df = pd.DataFrame(X_or_Xy) - - # Set feature names - if user_requested_feature_names is not None: - df.columns = list( - user_requested_feature_names - ) # list in case the type is df.columns or something - - # If necessary, merge y into df - if y is not None: - # If y is pd or np type, add it - try: - df = df.set_index(y.index) - df[class_feat] = y.copy() - # If that doesn't work, it's likely a python iterable - except: - df[class_feat] = y - return df - - -def _convert_to_prediction_df(X_or_Xy, class_feat, user_requested_feature_names=None): - """Make a labeled X DataFrame from data.""" - - # Create df from X_or_Xy - if isinstance(X_or_Xy, pd.DataFrame): - df = X_or_Xy.copy() - else: - df = pd.DataFrame(X_or_Xy) - - # Drop class feature if present - if class_feat in df.columns: - df.drop(class_feat, axis=1, inplace=True) - - # Set feature names - if user_requested_feature_names: - df.columns = [f for f in user_requested_feature_names if not f == class_feat] - return df - - -def _get_pos_class(df, class_feat, pos_class): - """Get or infer the positive class name.""" - # Pos class already known - - def raise_fail_infer_pos_class(): - raise NameError( - f"Couldn't infer name of positive target class from class feature: {class_feat}. Try using parameter pos_class to specify which class label should be treated as positive, or try renaming your classes as booleans or 0, 1." - ) - - # pos class is already known - if pos_class is not None: - return pos_class - - # Check if pos class can be inferred - class_values = df[class_feat].unique() - - # More than two classes - if len(class_values) > 2: - raise_fail_infer_pos_class() - - # Only one class - elif len(class_values) == 1: - only_value = utils.try_np_tonum(class_values[0]) - if isinstance(only_value, bool) and only_value == False: - pos_class = True - elif only_value == 0: - pos_class = 1 - else: - pos_class = only_value - _warn_only_single_class( - only_value=only_value, - pos_class=pos_class, - filename="preprocess.py", - funcname="_get_pos_class", - ) - return pos_class - - # Exactly two class. Check if they are True/False or 0/1 - else: - class_values.sort() - class_values = [utils.try_np_tonum(val) for val in class_values] - if isinstance(class_values[0], bool) and class_values[0] == False and class_values[1] == True: - return True - elif class_values[0] == 0 and class_values[1] == 1: - return 1 - - # Can't infer classes - raise_fail_infer_pos_class() - - -def _get_class_feat_name(class_feat, y): - - if class_feat is not None: - return class_feat - - if y is not None and hasattr(y, "name"): - # If y is a pandas Series, try to get its name - class_feat = y.name - else: - # Create a name for it - class_feat = "Class" - - return class_feat - - -def _upgrade_bin_transformer_ifdepr(obj): - old_bin_transformer_ = getattr(obj, "bin_transformer_") - if type(old_bin_transformer_) == dict: - new_bin_transformer_ = BinTransformer() - new_bin_transformer_.bins_ = old_bin_transformer_ - setattr(obj, "bin_transformer_", new_bin_transformer_) diff --git a/comparison_algs_src/wittgenstein/ripper.py b/comparison_algs_src/wittgenstein/ripper.py deleted file mode 100644 index 8cf14e5..0000000 --- a/comparison_algs_src/wittgenstein/ripper.py +++ /dev/null @@ -1,1518 +0,0 @@ -""" -Implementation of the RIPPERk algorithm for growing classification rulesets. -See https://www.let.rug.nl/nerbonne/teach/learning/cohen95fast.pdf -""" - -# Author: Ilan Moscovitz -# License: MIT - -import copy -import math -import numpy as np - -import pandas as pd - -from wittgenstein import base, base_functions, preprocess -from .abstract_ruleset_classifier import AbstractRulesetClassifier -from .base import Cond, Rule, Ruleset, asruleset -from .base_functions import score_accuracy, stop_early -from .catnap import CatNap -from .check import _check_is_model_fit, _check_df_allpos_allneg -from wittgenstein import utils -from wittgenstein.utils import rnd - - -class RIPPER(AbstractRulesetClassifier): - """ Class for generating ruleset classification models. - See Cohen (1995): https://www.let.rug.nl/nerbonne/teach/learning/cohen95fast.pdf - """ - - def __init__( - self, - k=2, - dl_allowance=64, - prune_size=0.33, - n_discretize_bins=10, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - alpha=1.0, - random_state=None, - verbosity=0, - ): - """Create a RIPPER classifier. - - Parameters - ---------- - k : int, default=2 - Number of RIPPERk optimization iterations. - prune_size : float, default=.33 - Proportion of training set to be used for pruning. - dl_allowance : int, default=64 - Terminate Ruleset grow phase early if a Ruleset description length is encountered - that is more than this amount above the lowest description length so far encountered. - n_discretize_bins : int, default=10 - Fit apparent numeric attributes into a maximum of n_discretize_bins discrete bins, inclusive on upper part of range. Pass None to disable auto-discretization. - random_state : int, default=None - Random seed for repeatable results. - - Limits for early-stopping. Intended for enhancing model interpretability and limiting training time on noisy datasets. Not specifically intended for use as a hyperparameter, since pruning already occurs during training, though it is certainly possible that tuning could improve model performance. - max_rules : int, default=None - Maximum number of rules. - min_rule_samples : int, defulat=None - Minimum number of covered samples per rule before halting rule growth. - min_ruleset_samples : int, default=None - Minimum number of samples per rule before halting ruleset growth. - max_rule_conds : int, default=None - Maximum number of conds per rule. - max_total_conds : int, default=None - Maximum number of total conds in entire ruleset. - - verbosity : int, default=0 - Output progress, model development, and/or computation. Each level includes the information belonging to lower-value levels. - 1: Show results of each major phase - 2: Show Ruleset grow/optimization steps - 3: Show Ruleset grow/optimization calculations - 4: Show Rule grow/prune steps - 5: Show Rule grow/prune calculations - """ - - AbstractRulesetClassifier.__init__( - self, - algorithm_name="RIPPER", - prune_size=prune_size, - n_discretize_bins=n_discretize_bins, - max_rules=max_rules, - min_rule_samples=min_rule_samples, - min_ruleset_samples=min_ruleset_samples, - max_rule_conds=max_rule_conds, - max_total_conds=max_total_conds, - alpha=alpha, - random_state=random_state, - verbosity=verbosity, - ) - self.VALID_HYPERPARAMETERS.update({"k", "dl_allowance"}) - self.k = k - self.dl_allowance = dl_allowance - - def __str__(self): - """Return string representation of a RIPPER classifier.""" - params = str(self.get_params()) + ">" - params = ( - params.replace(": ", "=") - .replace("'", "") - .replace("{", "(") - .replace("}", ")") - ) - return f", optional, default=None - Specify feature names. If None, feature names default to column names for a DataFrame, or indices in the case of indexed iterables such as an array or list. - initial_model : Ruleset, str, IREP or RIPPER, default=None - Preexisting model from which to begin training. See also 'init_ruleset'. - cn_optimize : bool, default=True - Use algorithmic speed optimization. - - **kwargs - -------- - The following parameters are moving to the RIPPER constructor (__init__) function. For the time-being, both the constructor and fit functions will accept them, but passing them here using .fit will be deprecated: - - k : int, default=2 - Number of RIPPERk optimization iterations. - prune_size : float, default=.33 - Proportion of training set to be used for pruning. - dl_allowance : int, default=64 - Terminate Ruleset grow phase early if a Ruleset description length is encountered - that is more than this amount above the lowest description length so far encountered. - n_discretize_bins : int, default=10 - Fit apparent numeric attributes into a maximum of n_discretize_bins discrete bins, inclusive on upper part of range. Pass None to disable auto-discretization. - random_state : int, default=None - Random seed for repeatable results. - - Limits for early-stopping. Intended for enhancing model interpretability and limiting training time on noisy datasets. Not specifically intended for use as a hyperparameter, since pruning already occurs during training, though it is certainly possible that tuning could improve model performance. - max_rules : int, default=None - Maximum number of rules. - max_rule_conds : int, default=None - Maximum number of conds per rule. - max_total_conds : int, default=None - Maximum number of total conds in entire ruleset. - - verbosity : int, default=0 - Output progress, model development, and/or computation. Each level includes the information belonging to lower-value levels. - 1: Show results of each major phase - 2: Show Ruleset grow/optimization steps - 3: Show Ruleset grow/optimization calculations - 4: Show Rule grow/prune steps - 5: Show Rule grow/prune calculations - """ - - ################ - # Stage 0: Setup - ################ - - # Handle any hyperparam deprecation - self._set_deprecated_fit_params(kwargs) - - # Preprocess training data - preprocess_params = { - "trainset": trainset, - "y": y, - "class_feat": class_feat, - "pos_class": pos_class, - "feature_names": feature_names, - "n_discretize_bins": self.n_discretize_bins, - "verbosity": self.verbosity, - } - ( - df, - self.class_feat, - self.pos_class, - self.bin_transformer_, - ) = preprocess.preprocess_training_data(preprocess_params) - #print('fit') - #print(df.columns) - - # Create CatNap - # possible minor speedup if pass cond_subset of only pos_class conds? - if cn_optimize: - self.cn = CatNap( - df, - feat_subset=None, - cond_subset=None, - class_feat=self.class_feat, - pos_class=None, - ) - - # Split df into pos, neg classes - pos_df, neg_df = base_functions.pos_neg_split( - df, self.class_feat, self.pos_class - ) - pos_df = pos_df.drop(self.class_feat, axis=1) - neg_df = neg_df.drop(self.class_feat, axis=1) - - # Warnings - _check_df_allpos_allneg(df, self.class_feat, self.pos_class, 'ripper', 'fit') - - ############################### - # Stage 1: Grow initial Ruleset - ############################### - - if cn_optimize: - pos_idx = set(pos_df.index.tolist()) - neg_idx = set(neg_df.index.tolist()) - self.ruleset_ = self._grow_ruleset_cn( - pos_idx, - neg_idx, - prune_size=self.prune_size, - dl_allowance=self.dl_allowance, - max_rules=self.max_rules, - min_rule_samples=self.min_rule_samples, - min_ruleset_samples=self.min_ruleset_samples, - max_rule_conds=self.max_rule_conds, - max_total_conds=self.max_total_conds, - initial_model=initial_model, - random_state=self.random_state, - ) - else: - self.ruleset_ = self._grow_ruleset( - pos_df, - neg_df, - prune_size=self.prune_size, - dl_allowance=self.dl_allowance, - max_rules=self.max_rules, - min_rule_samples=self.min_rule_samples, - min_ruleset_samples=self.min_ruleset_samples, - max_rule_conds=self.max_rule_conds, - max_total_conds=self.max_total_conds, - initial_model=initial_model, - random_state=self.random_state, - ) - if self.verbosity >= 1: - print() - print("GREW INITIAL RULESET:") - self.ruleset_.out_pretty() - print() - - ########################### - # Stage 2: Optimize Ruleset - ########################### - - for iter in range(1, self.k + 1): - # Create new but reproducible random_state (if applicable) - iter_random_state = ( - self.random_state + 100 if self.random_state is not None else None - ) - # Run optimization iteration - if self.verbosity >= 1: - print(f"optimization run {iter} of {self.k}") - if cn_optimize: - newset = self._optimize_ruleset_cn( - self.ruleset_, - pos_idx, - neg_idx, - prune_size=self.prune_size, - min_rule_samples=self.min_rule_samples, - random_state=iter_random_state, - ) - else: - newset = self._optimize_ruleset( - self.ruleset_, - pos_df, - neg_df, - prune_size=self.prune_size, - min_rule_samples=self.min_rule_samples, - random_state=iter_random_state, - ) - - if self.verbosity >= 1: - print() - print("OPTIMIZED RULESET:") - if self.verbosity >= 2: - print( - f"iteration {iter} of {self.k}\n modified rules {[i for i in range(len(self.ruleset_.rules)) if self.ruleset_.rules[i]!= newset.rules[i]]}" - ) - newset.out_pretty() - print() - - if iter != self.k and self.ruleset_ == newset: - if self.verbosity >= 1: - print(f"No changes were made. Halting optimization at iteration k={iter}.") - break - else: - self.ruleset_ = newset - - ############################################# - # Stage 3: Cover any last remaining positives - ############################################# - - if cn_optimize: - self._cover_remaining_positives_cn( - df, - max_rules=self.max_rules, - min_rule_samples=self.min_rule_samples, - min_ruleset_samples=self.min_ruleset_samples, - max_rule_conds=self.max_rule_conds, - max_total_conds=self.max_total_conds, - random_state=self.random_state, - ) - else: - self._cover_remaining_positives( - df, - max_rules=self.max_rules, - min_rule_samples=self.min_rule_samples, - min_ruleset_samples=self.min_ruleset_samples, - max_rule_conds=self.max_rule_conds, - max_total_conds=self.max_total_conds, - random_state=self.random_state, - ) - - ################################################# - # Stage 4: Remove any rules that don't improve dl - ################################################# - - if self.verbosity >= 2: - print("Optimizing dl...") - if cn_optimize: - mdl_subset, _ = _rs_total_bits_cn( - self.cn, - self.ruleset_, - self.ruleset_.possible_conds, - pos_idx, - neg_idx, - bestsubset_dl=True, - ret_bestsubset=True, - verbosity=self.verbosity, - ) - else: - mdl_subset, _ = _rs_total_bits( - self.ruleset_, - self.ruleset_.possible_conds, - pos_df, - neg_df, - bestsubset_dl=True, - ret_bestsubset=True, - verbosity=self.verbosity, - ) - self.ruleset_ = mdl_subset - if self.verbosity >= 1: - print("FINAL RULESET:") - self.ruleset_.out_pretty() - print() - - # Issue warning if Ruleset is universal or empty - self.ruleset_._check_allpos_allneg(warn=True, warnstack=[("ripper", "fit")]) - - # Set Ruleset features - self.selected_features_ = self.ruleset_.get_selected_features() - self.trainset_features_ = df.drop(self.class_feat, axis=1).columns.tolist() - - # Remove any duplicates and trim - self.ruleset_.rules = utils.remove_duplicates(self.ruleset_.rules) - self.ruleset_.trim_conds(max_total_conds=self.max_total_conds) - - # Fit probas - self.recalibrate_proba( - df, min_samples=1, require_min_samples=False, discretize=False - ) - self.classes_ = np.array([0, 1]) - - # Cleanup - if cn_optimize: - del self.cn - - def score(self, X, y, score_function=score_accuracy): - """Score the performance of a fit model. - - X : DataFrame, numpy array, or other iterable - Examples to score. - y : Series, numpy array, or other iterable - Class label actuals. - - score_function : function, default=score_accuracy - Any scoring function that takes two parameters: actuals >, predictions >, where the elements represent class labels. - this optional parameter is intended to be compatible with sklearn's scoring functions: https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics - """ - - _check_is_model_fit(self) - - predictions = self.predict(X) - actuals = [yi == self.pos_class for yi in utils.aslist(y)] - return score_function(actuals, predictions) - - def _set_theory_dl_lookup(self, df, size=15, verbosity=0): - """Precalculate rule theory dls for various-sized rules.""" - - self.dl_dict = {} - - temp = Ruleset() - temp._update_possible_conds(df, df) - - for n in range(1, size + 1): - rule = Rule([Cond("_", "_")] * n) - dl = _r_theory_bits( - rule, temp.possible_conds, bits_dict=None, verbosity=verbosity - ) - self.dl_dict[n] = dl - if verbosity >= 2: - print(f"updated dl for rule size {n}: {dl}") - - def _grow_ruleset( - self, - pos_df, - neg_df, - prune_size, - dl_allowance, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - initial_model=None, - random_state=None, - ): - """Grow a Ruleset with pruning.""" - ruleset = self._ruleset_frommodel(initial_model) - ruleset._update_possible_conds(pos_df, neg_df) - - ruleset_dl = None - mdl = None # Minimum encountered description length (in bits) - dl_diff = 0 - if self.verbosity >= 2: - print("growing ruleset...") - print(f"initial model: {ruleset}") - print() - - pos_remaining = pos_df.copy() - neg_remaining = neg_df.copy() - while len(pos_remaining) > 0 and dl_diff <= self.dl_allowance: - - # If applicable, check for user-specified early stopping - if stop_early(ruleset, pos_remaining, neg_remaining, - max_rules, min_ruleset_samples, max_total_conds): - break - - # Grow-prune split remaining uncovered examples - pos_growset, pos_pruneset = base_functions.df_shuffled_split( - pos_remaining, (1 - prune_size), random_state=random_state - ) - neg_growset, neg_pruneset = base_functions.df_shuffled_split( - neg_remaining, (1 - prune_size), random_state=random_state - ) - if self.verbosity >= 2: - print( - f"pos_growset {len(pos_growset)} pos_pruneset {len(pos_pruneset)}" - ) - print( - f"neg_growset {len(neg_growset)} neg_pruneset {len(neg_pruneset)}" - ) - if len(pos_growset) == 0: - break # Probably safe, but a little dicey to only check pos_growset. - - # Grow Rule - grown_rule = base_functions.grow_rule( - pos_growset, - neg_growset, - ruleset.possible_conds, - min_rule_samples=min_rule_samples, - max_rule_conds=max_rule_conds, - verbosity=self.verbosity, - ) - if grown_rule.isempty(): - break # Generated an empty rule b/c no good conds exist - - # Prune Rule - pruned_rule = base_functions.prune_rule( - grown_rule, - _RIPPER_growphase_prune_metric, - pos_pruneset, - neg_pruneset, - verbosity=self.verbosity, - ) - - # Add rule; calculate new description length - ruleset.add( - pruned_rule - ) # Unlike IREP, IREP*/RIPPER stopping condition is inclusive: "After each rule is added, the total description length of the rule set and examples is computed." - if self.verbosity >= 2: - print(f"updated ruleset: {ruleset.truncstr(direction='right')}") - print() - - if ruleset_dl is None: # First Rule to be added - rule_dl = _r_theory_bits( - pruned_rule, ruleset.possible_conds, verbosity=self.verbosity - ) - theory_dl = rule_dl - data_dl = _exceptions_bits( - ruleset, pos_df, neg_df, verbosity=self.verbosity - ) - ruleset_dl = theory_dl + data_dl - mdl = ruleset_dl - else: - rule_dl = _r_theory_bits( - pruned_rule, ruleset.possible_conds, verbosity=self.verbosity - ) - theory_dl += rule_dl - data_dl = _exceptions_bits( - ruleset, pos_df, neg_df, verbosity=self.verbosity - ) - ruleset_dl = theory_dl + data_dl - dl_diff = ruleset_dl - mdl - - if self.verbosity >= 3: - print(f"rule dl: {rnd(rule_dl)}") - print(f"updated theory dl: {rnd(theory_dl)}") - print(f"exceptions: {rnd(data_dl)}") - print(f"total dl: {rnd(ruleset_dl)}") - if dl_diff <= self.dl_allowance: - print( - f"mdl {rnd(mdl)} (diff {rnd(dl_diff)} <= {rnd(self.dl_allowance)})" - ) - else: - print( - f"mdl {rnd(mdl)} dl-halt: diff {rnd(dl_diff)} exceeds allowance ({rnd(self.dl_allowance)})" - ) - - mdl = ruleset_dl if ruleset_dl < mdl else mdl - - # Remove covered examples - pos_remaining, neg_remaining = base_functions.rm_covered( - pruned_rule, pos_remaining, neg_remaining - ) - - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining)} pos, {len(neg_remaining)} neg" - ) - print() - - return ruleset - - def _grow_ruleset_cn( - self, - pos_idx, - neg_idx, - prune_size, - dl_allowance, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - initial_model=None, - random_state=None, - ): - """Grow a Ruleset with pruning.""" - ruleset = self._ruleset_frommodel(initial_model) - ruleset.possible_conds = self.cn.conds - - pos_remaining_idx = pos_idx - neg_remaining_idx = neg_idx - ruleset_dl = None - mdl = None # Minimum encountered description length (in bits) - dl_diff = 0 - if self.verbosity >= 2: - print("growing ruleset...") - print(f"initial model: {ruleset}") - print() - - while len(pos_remaining_idx) > 0 and dl_diff <= self.dl_allowance: - - # If applicable, check for user-specified early stopping - if stop_early(ruleset, pos_remaining_idx, neg_remaining_idx, - max_rules, min_ruleset_samples, max_total_conds): - break - - # Grow-prune split remaining uncovered examples - pos_growset_idx, pos_pruneset_idx = base_functions.random_split( - pos_remaining_idx, - (1 - prune_size), - res_type=set, - random_state=random_state, - ) - neg_growset_idx, neg_pruneset_idx = base_functions.random_split( - neg_remaining_idx, - (1 - prune_size), - res_type=set, - random_state=random_state, - ) - if self.verbosity >= 2: - print( - f"pos_growset {len(pos_growset_idx)} pos_pruneset {len(pos_pruneset_idx)}" - ) - print( - f"neg_growset {len(neg_growset_idx)} neg_pruneset {len(neg_pruneset_idx)}" - ) - if len(pos_growset_idx) == 0: - break # Probably safe, but a little dicey to only check pos_growset. - - # Grow Rule - grown_rule = base_functions.grow_rule_cn( - self.cn, - pos_growset_idx, - neg_growset_idx, - initial_rule=Rule(), - min_rule_samples=min_rule_samples, - max_rule_conds=max_rule_conds, - verbosity=self.verbosity, - ) - if grown_rule.isempty(): - break # Generated an empty rule b/c no good conds exist - - # Prune Rule - pruned_rule = base_functions.prune_rule_cn( - self.cn, - grown_rule, - _RIPPER_growphase_prune_metric_cn, - pos_pruneset_idx, - neg_pruneset_idx, - verbosity=self.verbosity, - ) if prune_size else grown_rule - - # Add rule; calculate new description length - ruleset.add( - pruned_rule - ) # Unlike IREP, IREP*/RIPPER stopping condition is inclusive: "After each rule is added, the total description length of the rule set and examples is computed." - if self.verbosity >= 2: - print(f"updated ruleset: {ruleset.truncstr(direction='right')}") - print() - - if ruleset_dl is None: # First Rule to be added - rule_dl = _r_theory_bits( - pruned_rule, ruleset.possible_conds, verbosity=self.verbosity - ) - theory_dl = rule_dl - data_dl = _exceptions_bits_cn( - self.cn, ruleset, pos_idx, neg_idx, verbosity=self.verbosity - ) - ruleset_dl = theory_dl + data_dl - mdl = ruleset_dl - else: - rule_dl = _r_theory_bits( - pruned_rule, ruleset.possible_conds, verbosity=self.verbosity - ) - theory_dl += rule_dl - data_dl = _exceptions_bits_cn( - self.cn, ruleset, pos_idx, neg_idx, verbosity=self.verbosity - ) - ruleset_dl = theory_dl + data_dl - dl_diff = ruleset_dl - mdl - - if self.verbosity >= 3: - print(f"rule dl: {rnd(rule_dl)}") - print(f"updated theory dl: {rnd(theory_dl)}") - print(f"exceptions: {rnd(data_dl)}") - print(f"total dl: {rnd(ruleset_dl)}") - if dl_diff <= self.dl_allowance: - print( - f"mdl {rnd(mdl)} (diff {rnd(dl_diff)} <= {rnd(self.dl_allowance)})" - ) - else: - print( - f"mdl {rnd(mdl)} dl-halt: diff {rnd(dl_diff)} exceeds allowance ({rnd(self.dl_allowance)})" - ) - - mdl = ruleset_dl if ruleset_dl < mdl else mdl - - # Remove covered examples - pos_remaining_idx, neg_remaining_idx = base_functions.rm_rule_covers_cn( - self.cn, pruned_rule, pos_remaining_idx, neg_remaining_idx - ) - - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining_idx)} pos, {len(neg_remaining_idx)} neg" - ) - print() - - return ruleset - - def _optimize_ruleset( - self, - ruleset, - pos_df, - neg_df, - prune_size, - min_rule_samples=None, - max_rule_conds=None, - random_state=None, - ): - """Optimization phase.""" - - if self.verbosity >= 2: - print("optimizing ruleset...") - print() - - pos_remaining = pos_df.copy() - neg_remaining = neg_df.copy() - original_ruleset = copy.deepcopy(ruleset) - if self.verbosity >= 4: - print("calculate original ruleset potential dl...") - original_dl = _rs_total_bits( - original_ruleset, - original_ruleset.possible_conds, - pos_df, - neg_df, - bestsubset_dl=True, - verbosity=self.verbosity, - ) - if self.verbosity >= 3: - print(f"original ruleset potential dl: {rnd(original_dl)}") - print() - new_ruleset = copy.deepcopy(ruleset) - - for i, rule in enumerate(original_ruleset.rules): - pos_growset, pos_pruneset = base_functions.df_shuffled_split( - pos_remaining, (1 - prune_size), random_state=random_state - ) - neg_growset, neg_pruneset = base_functions.df_shuffled_split( - neg_remaining, (1 - prune_size), random_state=random_state - ) - if len(pos_growset) == 0: - break # Possible where optimization run > 1 - - if stop_early(new_ruleset, pos_remaining, neg_remaining, - self.max_rules, self.min_ruleset_samples, self.max_total_conds): - break - - # Create alternative rules - if self.verbosity >= 4: - print( - f"creating replacement for {i} of {len(original_ruleset.rules)}: {ruleset.rules[i]}" - ) - g_replacement = base_functions.grow_rule( - pos_growset, - neg_growset, - original_ruleset.possible_conds, - initial_rule=Rule(), - min_rule_samples=min_rule_samples, - max_rule_conds=max_rule_conds, - verbosity=self.verbosity, - ) - replacement_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, g_replacement) - ) - pr_replacement = base_functions.prune_rule( - g_replacement, - _RIPPER_optimization_prune_metric, - pos_pruneset, - neg_pruneset, - eval_index_on_ruleset=(i, replacement_ruleset), - verbosity=self.verbosity, - ) - replacement_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, pr_replacement) - ) - if self.verbosity >= 3: - print(f"grew replacement {g_replacement}") - print(f"pruned replacement is {pr_replacement}") - - if self.verbosity >= 3: - print( - f"creating revision for {i} of {len(original_ruleset.rules)}: {ruleset.rules[i]}" - ) - g_revision = base_functions.grow_rule( - pos_growset, - neg_growset, - original_ruleset.possible_conds, - initial_rule=ruleset.rules[i], - min_rule_samples=min_rule_samples, - max_rule_conds=max_rule_conds, - verbosity=self.verbosity, - ) - revision_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, g_revision) - ) - pr_revision = base_functions.prune_rule( - g_revision, - _RIPPER_optimization_prune_metric, - pos_pruneset, - neg_pruneset, - eval_index_on_ruleset=(i, revision_ruleset), - verbosity=self.verbosity, - ) - revision_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, pr_revision) - ) - if self.verbosity >= 3: - print(f"grew revision {g_replacement}") - print(f"pruned revision is {pr_replacement}") - print() - - # Calculate alternative Rulesets' respective lowest potential dls to identify the best version - if self.verbosity >= 3: - print( - f"calculate potential dl for ds with replacement {pr_replacement}" - ) - replacement_dl = ( - _rs_total_bits( - replacement_ruleset, - original_ruleset.possible_conds, - pos_df, - neg_df, - bestsubset_dl=True, - verbosity=self.verbosity, - ) - if pr_replacement != rule - else original_dl - ) - if self.verbosity >= 3: - print(f"calculate potential dl for ds with revision {pr_revision}") - revision_dl = ( - _rs_total_bits( - revision_ruleset, - original_ruleset.possible_conds, - pos_df, - neg_df, - bestsubset_dl=True, - verbosity=self.verbosity, - ) - if pr_revision != rule - else original_dl - ) - best_rule = [rule, pr_replacement, pr_revision][ - base_functions.argmin([original_dl, replacement_dl, revision_dl]) - ] - - if self.verbosity >= 2: - print(f"\nrule {i+1} of {len(original_ruleset.rules)}") - rep_str = ( - pr_replacement.__str__() if pr_replacement != rule else "unchanged" - ) - rev_str = pr_revision.__str__() if pr_revision != rule else "unchanged" - best_str = best_rule.__str__() if best_rule != rule else "unchanged" - if self.verbosity == 2: - print(f"original: {rule}") - print(f"replacement: {rep_str}") - print(f"revision: {rev_str}") - print(f"*best: {best_str}") - if best_rule in new_ruleset: - print( - f"best already included in optimization -- retaining original" - ) - print() - else: - print(f"original: {rule}) | {rnd(original_dl)} bits") - print(f"replacement: {rep_str} | {rnd(replacement_dl)} bits") - print(f"revision: {rev_str} | {rnd(revision_dl)} bits") - print( - f"*best: {best_str} | {rnd(min([replacement_dl, revision_dl, original_dl]))} bits" - ) - if best_rule in new_ruleset: - print( - f"best already included in optimization -- retaining original" - ) - print() - if best_rule not in new_ruleset: - new_ruleset.rules[i] = best_rule - else: - new_ruleset.rules[i] = rule - - # Remove covered examples - pos_remaining, neg_remaining = base_functions.rm_covered( - rule, pos_remaining, neg_remaining - ) - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining)} pos, {len(neg_remaining)} neg" - ) - print() - - # If there are no pos data remaining to train optimization (could happen if optimization run >1), keep remaining rules the same - if len(pos_remaining) == 0: - break - - return new_ruleset - - def _optimize_ruleset_cn( - self, - ruleset, - pos_idx, - neg_idx, - prune_size, - min_rule_samples=None, - max_rule_conds=None, - random_state=None, - ): - """Optimization phase.""" - - if self.verbosity >= 2: - print("optimizing ruleset...") - print() - - pos_remaining_idx = pos_idx - neg_remaining_idx = neg_idx - original_ruleset = copy.deepcopy(ruleset) - if self.verbosity >= 4: - print("calculate original ruleset potential dl...") - original_dl = _rs_total_bits_cn( - self.cn, - original_ruleset, - original_ruleset.possible_conds, - pos_idx, - neg_idx, - bestsubset_dl=True, - verbosity=self.verbosity, - ) - if self.verbosity >= 3: - print(f"original ruleset potential dl: {rnd(original_dl)}") - print() - new_ruleset = copy.deepcopy(ruleset) - - for i, rule in enumerate(original_ruleset.rules): - pos_growset_idx, pos_pruneset_idx = base_functions.set_shuffled_split( - pos_remaining_idx, (1 - prune_size), random_state=random_state - ) - neg_growset_idx, neg_pruneset_idx = base_functions.set_shuffled_split( - neg_remaining_idx, (1 - prune_size), random_state=random_state - ) - if len(pos_growset_idx) == 0: - break # Possible where optimization run > 1 - - if stop_early(new_ruleset, pos_remaining_idx, neg_remaining_idx, - self.max_rules, self.min_ruleset_samples, self.max_total_conds): - break - - # Create alternative rules - if self.verbosity >= 4: - print( - f"creating replacement for {i} of {len(original_ruleset.rules)}: {ruleset.rules[i]}" - ) - # g_replacement = base_functions.grow_rule(pos_growset, neg_growset, original_ruleset.possible_conds, initial_rule=Rule(), max_rule_conds=max_rule_conds, verbosity=self.verbosity) - g_replacement = base_functions.grow_rule_cn( - self.cn, - pos_growset_idx, - neg_growset_idx, - initial_rule=Rule(), - min_rule_samples=min_rule_samples, - max_rule_conds=max_rule_conds, - verbosity=self.verbosity, - ) - replacement_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, g_replacement) - ) - # pr_replacement = base_functions.prune_rule(g_replacement, _RIPPER_optimization_prune_metric, pos_pruneset, neg_pruneset, eval_index_on_ruleset=(i,replacement_ruleset), verbosity=self.verbosity) - pr_replacement = base_functions.prune_rule_cn( - self.cn, - g_replacement, - _RIPPER_optimization_prune_metric_cn, - pos_pruneset_idx, - neg_pruneset_idx, - eval_index_on_ruleset=(i, replacement_ruleset), - verbosity=self.verbosity, - ) - replacement_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, pr_replacement) - ) - if self.verbosity >= 3: - print(f"grew replacement {g_replacement}") - print(f"pruned replacement is {pr_replacement}") - - if self.verbosity >= 3: - print( - f"creating revision for {i} of {len(original_ruleset.rules)}: {ruleset.rules[i]}" - ) - # g_revision = base_functions.grow_rule(pos_growset, neg_growset, original_ruleset.possible_conds, initial_rule=ruleset.rules[i], max_rule_conds=max_rule_conds, verbosity=self.verbosity) - g_revision = base_functions.grow_rule_cn( - self.cn, - pos_growset_idx, - neg_growset_idx, - initial_rule=ruleset.rules[i], - min_rule_samples=min_rule_samples, - max_rule_conds=max_rule_conds, - verbosity=self.verbosity, - ) - revision_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, g_revision) - ) - # pr_revision = base_functions.prune_rule(g_revision, _RIPPER_optimization_prune_metric, pos_pruneset, neg_pruneset, eval_index_on_ruleset=(i,revision_ruleset), verbosity=self.verbosity) - pr_revision = base_functions.prune_rule_cn( - self.cn, - g_revision, - _RIPPER_optimization_prune_metric_cn, - pos_pruneset_idx, - neg_pruneset_idx, - eval_index_on_ruleset=(i, revision_ruleset), - verbosity=self.verbosity, - ) - revision_ruleset = Ruleset( - base_functions.i_replaced(original_ruleset.rules, i, pr_revision) - ) - if self.verbosity >= 3: - print(f"grew revision {g_replacement}") - print(f"pruned revision is {pr_replacement}") - print() - - # Calculate alternative Rulesets' respective lowest potential dls to identify the best version - if self.verbosity >= 3: - print( - f"calculate potential dl for ds with replacement {pr_replacement}" - ) - replacement_dl = ( - _rs_total_bits_cn( - self.cn, - replacement_ruleset, - original_ruleset.possible_conds, - pos_idx, - neg_idx, - bestsubset_dl=False, - ret_bestsubset=False, - verbosity=0, - ) - if pr_replacement != rule - else original_dl - ) - if self.verbosity >= 3: - print(f"calculate potential dl for ds with revision {pr_revision}") - revision_dl = ( - _rs_total_bits_cn( - self.cn, - revision_ruleset, - original_ruleset.possible_conds, - pos_idx, - neg_idx, - bestsubset_dl=False, - ret_bestsubset=False, - verbosity=0, - ) - if pr_revision != rule - else original_dl - ) - best_rule = [rule, pr_replacement, pr_revision][ - base_functions.argmin([original_dl, replacement_dl, revision_dl]) - ] - - if self.verbosity >= 2: - print(f"\nrule {i+1} of {len(original_ruleset.rules)}") - rep_str = ( - pr_replacement.__str__() if pr_replacement != rule else "unchanged" - ) - rev_str = pr_revision.__str__() if pr_revision != rule else "unchanged" - best_str = best_rule.__str__() if best_rule != rule else "unchanged" - if self.verbosity == 2: - print(f"original: {rule}") - print(f"replacement: {rep_str}") - print(f"revision: {rev_str}") - print(f"*best: {best_str}") - if best_rule in new_ruleset: - print( - f"best already included in optimization -- retaining original" - ) - print() - else: - print(f"original: {rule}) | {rnd(original_dl)} bits") - print(f"replacement: {rep_str} | {rnd(replacement_dl)} bits") - print(f"revision: {rev_str} | {rnd(revision_dl)} bits") - print( - f"*best: {best_str} | {rnd(min([replacement_dl, revision_dl, original_dl]))} bits" - ) - if best_rule in new_ruleset: - print( - f"best already included in optimization -- retaining original" - ) - print() - if best_rule not in new_ruleset: - new_ruleset.rules[i] = best_rule - else: - new_ruleset.rules[i] = rule - - # Remove covered examples - pos_remaining_idx, neg_remaining_idx = base_functions.rm_rule_covers_cn( - self.cn, rule, pos_remaining_idx, neg_remaining_idx - ) - if self.verbosity >= 3: - print( - f"examples remaining: {len(pos_remaining_idx)} pos, {len(neg_remaining_idx)} neg" - ) - print() - - # If there are no pos data remaining to train optimization (could happen if optimization run >1), keep remaining rules the same - if len(pos_remaining_idx) == 0: - break - - return new_ruleset - - def _cover_remaining_positives( - self, - df, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - random_state=None, - ): - """Stage 3: Post-optimization, cover any remaining uncovered positives.""" - pos_remaining, neg_remaining = base_functions.pos_neg_split( - df, self.class_feat, self.pos_class - ) - pos_remaining = pos_remaining.drop(self.class_feat, axis=1) - neg_remaining = neg_remaining.drop(self.class_feat, axis=1) - pos_remaining, neg_remaining = base_functions.rm_covered( - self.ruleset_, pos_remaining, neg_remaining - ) - if len(pos_remaining) >= 1: - if self.verbosity >= 2: - print(f"{len(pos_remaining)} pos left. Growing final rules...") - newset = self._grow_ruleset( - pos_remaining, - neg_remaining, - initial_model=self.ruleset_, - prune_size=self.prune_size, - dl_allowance=self.dl_allowance, - max_rules=max_rules, - min_rule_samples=min_rule_samples, - min_ruleset_samples=min_ruleset_samples, - max_rule_conds=max_rule_conds, - max_total_conds=max_total_conds, - random_state=random_state, - ) - if self.verbosity >= 1: - print("GREW FINAL RULES") - newset.out_pretty() - print() - self.ruleset_ = newset - else: - if self.verbosity >= 1: - print("All pos covered\n") - - def _cover_remaining_positives_cn( - self, - df, - max_rules=None, - min_rule_samples=None, - min_ruleset_samples=None, - max_rule_conds=None, - max_total_conds=None, - random_state=None, - ): - """Stage 3: Post-optimization, cover any remaining uncovered positives.""" - pos_remaining_idx, neg_remaining_idx = self.cn.pos_idx_neg_idx( - df, self.class_feat, self.pos_class - ) - - if len(pos_remaining_idx) >= 1: - if self.verbosity >= 2: - print(f"{len(pos_remaining_idx)} pos left. Growing final rules...") - newset = self._grow_ruleset_cn( - pos_remaining_idx, - neg_remaining_idx, - initial_model=self.ruleset_, - prune_size=self.prune_size, - dl_allowance=self.dl_allowance, - max_rules=max_rules, - min_rule_samples=min_rule_samples, - min_ruleset_samples=min_ruleset_samples, - max_rule_conds=max_rule_conds, - max_total_conds=max_total_conds, - random_state=random_state, - ) - if self.verbosity >= 1: - print("GREW FINAL RULES") - newset.out_pretty() - print() - self.ruleset_ = newset - else: - if self.verbosity >= 1: - print("All positives covered\n") - - def get_params(self, deep=True): - return {param: self.__dict__.get(param) for param in self.VALID_HYPERPARAMETERS} - - def set_params(self, **parameters): - for parameter, value in parameters.items(): - # if parameter in self.VALID_HYPERPARAMETERS: - setattr(self, parameter, value) - return self - - -################################### -##### RIPPER-specific Metrics ##### -################################### - - -def _RIPPER_growphase_prune_metric(rule, pos_pruneset, neg_pruneset): - """RIPPER/IREP* prune metric. - Returns the prune value of a candidate Rule. - - Cohen's formula is (p-n) / (p+n). - Unclear from the paper how they handle divzero (where p+n=0), so I Laplaced it. - Weka's solution was to modify the formula to (p+1)/(p+n+2), but running with this because the (non-NaN) values I got appeared closer to those of the original formula. - """ - # I imagine Weka's is 1/2 because that's closer to a 50-50 class distribution? - p = rule.num_covered(pos_pruneset) - n = rule.num_covered(neg_pruneset) - return (p - n + 1) / (p + n + 1) - - -def _RIPPER_growphase_prune_metric_cn(cn, rule, pos_pruneset_idx, neg_pruneset_idx): - """RIPPER/IREP* prune metric. - Returns the prune value of a candidate Rule. - - Cohen's formula is (p-n) / (p+n). - Unclear from the paper how they handle divzero (where p+n=0), so I Laplaced it. - Weka's solution was to modify the formula to (p+1)/(p+n+2), but the (non-NaN) values I got appeared closer to those of the original formula. - """ - # I imagine Weka's is 1/2 because that's closer to a 50-50 class distribution? - p = len(cn.rule_covers(rule, pos_pruneset_idx)) - n = len(cn.rule_covers(rule, neg_pruneset_idx)) - return (p - n + 1) / (p + n + 1) - - -def _RIPPER_optimization_prune_metric(rule, pos_pruneset, neg_pruneset): - return base_functions._accuracy(rule, pos_pruneset, neg_pruneset) - - -def _RIPPER_optimization_prune_metric_cn(cn, rule, pos_pruneset_idx, neg_pruneset_idx): - return base_functions._rule_accuracy_cn( - cn, rule, pos_pruneset_idx, neg_pruneset_idx - ) - - -def _r_theory_bits(rule, possible_conds, bits_dict=None, verbosity=0): - """Returns description length (in bits) for a single Rule.""" - - if hasattr(rule, "dl"): - return rule.dl - else: - # if type(rule) != Rule: - # raise TypeError(f'param rule in _r_theory_bits is type {type(rule)}; it should be type Rule') - k = len(rule.conds) # Number of rule conditions - n = len(possible_conds) # Number of possible conditions - k = max(k, 1) # universal or negation rule is 1 bit - pr = k / n - S = k * math.log2(1 / pr) + (n - k) * math.log2((1 / (1 - pr))) # S(n, k, pr) - K = math.log2(k) # Number bits need to send integer k - rule_dl = 0.5 * ( - K + S - ) # Divide by 2 a la Quinlan. Cohen: "to adjust for possible redundency in attributes" - if verbosity >= 5: - print( - f"rule theory bits| {rule} k {k} n {n} pr {rnd(pr)}: {rnd(rule_dl)} bits" - ) - # rule.dl = rule_dl - return max(rule_dl, 1) # universal or negation rule is 1 bit - -def _rs_theory_bits(ruleset, possible_conds, verbosity=0): - """Returns theory description length (in bits) for a Ruleset.""" - - # if type(ruleset) != Ruleset: - # raise TypeError(f'param ruleset in _rs_theory_bits should be type Ruleset') - total = 0 - for rule in ruleset.rules: - total += _r_theory_bits(rule, possible_conds, verbosity=verbosity) - # total += rule_bits(rule, possible_conds, rem_pos, rem_neg, verbosity=verbosity) - # rem_pos, rem_neg = base.rm_covered(rule, rem_pos, rem_neg) - if verbosity >= 5: - print(f"ruleset theory bits| {rnd(total)}") - - # ruleset.dl = total - return total - - -def _exceptions_bits(ruleset, pos_df, neg_df, verbosity=0): - """Returns description length (in bits) for exceptions to a Ruleset's coverage.""" - - if type(ruleset) != Ruleset: - raise TypeError( - f"to avoid double-counting, _exceptions_bits should calculate exceptions over entire set of rules with type Ruleset" - ) - N = len(pos_df) + len(neg_df) # Total number of examples - p = ruleset.num_covered(pos_df) + ruleset.num_covered( - neg_df - ) # Total number of examples classified as positive = total covered - fp = ruleset.num_covered( - neg_df - ) # Number false positives = negatives covered by the ruleset - fn = len(pos_df) - ruleset.num_covered( - pos_df - ) # Number false negatives = positives not covered by the ruleset - exceptions_dl = math.log2(base_functions.nCr(p, fp)) + math.log2( - base_functions.nCr((N - p), fn) - ) - if verbosity >= 5: - print( - f"exceptions_bits| {ruleset.truncstr()}: \n N {N} p {p} fp {fp} fn {fn}: exceptions_bits {rnd(exceptions_dl)}" - ) - - return exceptions_dl - - -def _exceptions_bits_cn(cn, ruleset, pos_idx, neg_idx, verbosity=0): - """Returns description length (in bits) for exceptions to a Ruleset's coverage.""" - - # if type(ruleset) != Ruleset: - # raise TypeError(f'to avoid double-counting, _exceptions_bits should calculate exceptions over entire set of rules with type Ruleset') - N = len(pos_idx) + len(neg_idx) # Total number of examples - pos_cov = cn.ruleset_covers(ruleset, subset=pos_idx) - neg_cov = cn.ruleset_covers(ruleset, subset=neg_idx) - p = len(pos_cov) + len( - neg_cov - ) # Total number of examples classified as positive = total covered - fp = len(neg_cov) # Number false positives = negatives covered by the ruleset - fn = len(pos_idx) - len( - pos_cov - ) # Number false negatives = positives not covered by the ruleset - exceptions_dl = math.log2(base_functions.nCr(p, fp)) + math.log2( - base_functions.nCr((N - p), fn) - ) - if verbosity >= 5: - print( - f"exceptions_bits| {ruleset.truncstr()}: \n N {N} p {p} fp {fp} fn {fn}: exceptions_bits {rnd(exceptions_dl)}" - ) - - return exceptions_dl - - -def _rs_total_bits( - ruleset, - possible_conds, - pos_df, - neg_df, - bestsubset_dl=False, - ret_bestsubset=False, - verbosity=0, -): - """Returns total description length (in bits) of ruleset -- the sum of its theory dl and exceptions dl. - - bestsubset_dl : bool, default=False - Whether to return estimated minimum possible dl were all rules that increase dl to be removed. - ret_bestsubset : bool, default=False - Whether to return the best subset that was found. Return format will be (,dl). - """ - - # The RIPPER paper is brief and unclear w/r how to evaluate a ruleset for best potential dl. - - # 1) Do you reevaluate already-visited rules or evaluate each rule independently of one another? - # Weka's source code comments that you are not supposed to, and that this is "bizarre." - # Perhaps not recursing so -- and getting a possibly sub-optimal mdl -- could be viewed as a greedy time-saver? - # After all, this is supposed to be an iterative algorithm, it could optimize more times with future k's, - # and it's not like we're performing an exhaustive search of every possible combination anyways. - - # 2) In what order are you supposed to evaluate? FIFO or LIFO? - # Footnote 7 suggests optimization is done FIFO; the previous page suggests IREP* final dl reduction is done LIFO; - # and context suggests dl reduction should be performed the same way both times. - - # I chose to greedy for #1, and FIFO for #2 but may choose differently in a future version if it seems more appropriate. - # In any case, RIPPER's strong performance on the test sets vs. RandomForest suggests it may not matter all that much. - - # if type(ruleset) != Ruleset: - # raise TypeError(f'param ruleset in _rs_total_bits should be type Ruleset') - if ret_bestsubset and not bestsubset_dl: - raise ValueError( - f"ret_bestsubset must be True in order to return bestsubset_dl" - ) - - if not bestsubset_dl: - theory_bits = _rs_theory_bits(ruleset, possible_conds, verbosity=verbosity) - data_bits = _exceptions_bits(ruleset, pos_df, neg_df, verbosity=verbosity) - if verbosity >= 3: - print(f"total ruleset bits | {rnd(theory_bits + data_bits)}") - return theory_bits + data_bits - else: - # Collect the dl of each subset - subset_dls = [] - theory_dl = 0 - if verbosity >= 5: - print(f"find best potential dl for {ruleset}:") - for i, rule in enumerate( - ruleset.rules - ): # Separating theory and exceptions dls in this way means you don't have to recalculate theory each time - subset = Ruleset(ruleset.rules[: i + 1]) - rule_theory_dl = _r_theory_bits(rule, possible_conds, verbosity=verbosity) - theory_dl += rule_theory_dl - exceptions_dl = _exceptions_bits( - subset, pos_df, neg_df, verbosity=verbosity - ) - subset_dls.append(theory_dl + exceptions_dl) - if verbosity >= 5: - print(f"subset 0-{i} | dl: {rnd(subset_dls[i])}") - - # Build up the best Ruleset and calculate the mdl - mdl_ruleset = Ruleset() - for i, rule, in enumerate(ruleset.rules): - if ( - i == 0 or subset_dls[i] <= subset_dls[i - 1] - ): # Rule i does not worsen the dl - mdl_ruleset.add(rule) - if verbosity >= 5: - print(f"subset dls: {[(i,rnd(dl)) for i,dl in enumerate(subset_dls)]}") - print(f"best potential ruleset: {mdl_ruleset}") - mdl = _rs_total_bits( - mdl_ruleset, - possible_conds, - pos_df, - neg_df, - bestsubset_dl=False, - verbosity=0, - ) # About to print value below - if verbosity >= 5: - print(f"best potential dl was {rnd(mdl)}") - print() - if not ret_bestsubset: - return mdl - else: - return (mdl_ruleset, mdl) - - -def _rs_total_bits_cn( - cn, - ruleset, - possible_conds, - pos_idx, - neg_idx, - bestsubset_dl=False, - ret_bestsubset=False, - verbosity=0, -): - """Returns total description length (in bits) of ruleset -- the sum of its theory dl and exceptions dl. - - bestsubset_dl : bool, default=False - Whether to return estimated minimum possible dl were all rules that increase dl to be removed. - ret_bestsubset : bool, default=False - Whether to return the best subset that was found. Return format will be (,dl). - """ - - # The RIPPER paper is brief and unclear w/r how to evaluate a ruleset for best potential dl. - - # 1) Do you reevaluate already-visited rules or evaluate each rule independently of one another? - # Weka's source code comments that you are not supposed to, and that this is "bizarre." - # Perhaps not recursing so -- and getting a possibly sub-optimal mdl -- could be viewed as a greedy time-saver? - # After all, this is supposed to be an iterative algorithm, it could optimize more times with future k's, - # and it's not like we're performing an exhaustive search of every possible combination anyways. - - # 2) In what order are you supposed to evaluate? FIFO or LIFO? - # Footnote 7 suggests optimization is done FIFO; the previous page suggests IREP* final dl reduction is done LIFO; - # and context suggests dl reduction should be performed the same way both times. - - # I chose to greedy for #1, and FIFO for #2 but may choose differently in a future version if it seems more appropriate. - # In any case, RIPPER's strong performance on the test sets vs. RandomForest suggests it may not matter all that much. - - # if type(ruleset) != Ruleset: - # raise TypeError(f'param ruleset in _rs_total_bits should be type Ruleset') - if ret_bestsubset and not bestsubset_dl: - raise ValueError( - f"ret_bestsubset must be True in order to return bestsubset_dl" - ) - - if not bestsubset_dl: - theory_bits = _rs_theory_bits(ruleset, possible_conds, verbosity=verbosity) - data_bits = _exceptions_bits_cn( - cn, ruleset, pos_idx, neg_idx, verbosity=verbosity - ) - if verbosity >= 3: - print(f"total ruleset bits | {rnd(theory_bits + data_bits)}") - return theory_bits + data_bits - else: - # Collect the dl of each subset - subset_dls = [] - theory_dl = 0 - if verbosity >= 5: - print(f"find best potential dl for {ruleset}:") - for i, rule in enumerate( - ruleset.rules - ): # Separating theory and exceptions dls in this way means you don't have to recalculate theory each time - subset = Ruleset(ruleset.rules[: i + 1]) - rule_theory_dl = _r_theory_bits(rule, possible_conds, verbosity=verbosity) - theory_dl += rule_theory_dl - exceptions_dl = _exceptions_bits_cn( - cn, subset, pos_idx, neg_idx, verbosity=verbosity - ) - subset_dls.append(theory_dl + exceptions_dl) - if verbosity >= 5: - print(f"subset 0-{i} | dl: {rnd(subset_dls[i])}") - - # Build up the best Ruleset and calculate the mdl - mdl_ruleset = Ruleset() - for i, rule, in enumerate(ruleset.rules): - if ( - i == 0 or subset_dls[i] <= subset_dls[i - 1] - ): # Rule i does not worsen the dl - mdl_ruleset.add(rule) - if verbosity >= 5: - print(f"subset dls: {[(i,rnd(dl)) for i,dl in enumerate(subset_dls)]}") - print(f"best potential ruleset: {mdl_ruleset}") - mdl = _rs_total_bits_cn( - cn, - mdl_ruleset, - possible_conds, - pos_idx, - neg_idx, - bestsubset_dl=False, - verbosity=0, - ) # About to print value below - if verbosity >= 5: - print(f"best potential dl was {rnd(mdl)}") - print() - if not ret_bestsubset: - return mdl - else: - return (mdl_ruleset, mdl) diff --git a/comparison_algs_src/wittgenstein/utils.py b/comparison_algs_src/wittgenstein/utils.py deleted file mode 100644 index 63623e3..0000000 --- a/comparison_algs_src/wittgenstein/utils.py +++ /dev/null @@ -1,86 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -from copy import deepcopy -import numpy as np - - -def drop_chars(str_, chars): - res = str_ - for char in chars: - res = res.replace(char, "") - return res - - -def remove_duplicates(list_): - res = deepcopy(list_) - encountered = set() - i = 0 - while i < len(res): - if res[i] in encountered: - del res[i] - else: - encountered.add(res[i]) - i += 1 - return res - - -def aslist(data): - try: - return data.aslist() - except: - return data - - -def try_np_tonum(value): - try: - return value.item() - except: - return value - - -def flagged_return(flags, objects): - """Return only objects with corresponding True flags. Useful for functions with multiple possible return items.""" - if sum(flags) == 1: - return objects[0] - elif sum(flags) > 1: - return tuple([object for flag, object in zip(flags, objects) if flag]) - else: - return () - - -def rnd(float, places=None): - """Round a float to decimal places. - - float : float - Value to round. - places : int, default=None - Number of decimal places to round to. None defaults to 1 decimal place if float < 100, otherwise defaults to 0 places. - """ - if places is None: - if float < 1: - places = 2 - elif float < 100: - places = 1 - else: - places = 0 - rounded = round(float, places) - if rounded != int(rounded): - return rounded - else: - return int(rounded) - - -def weighted_avg_freqs(counts): - """Return weighted mean proportions of counts in the list. - - counts > - """ - arr = np.array(counts) - total = arr.flatten().sum() - return arr.sum(axis=0) / total if total else arr.sum(axis=0) - - -def min_max_smooth(array): - _SMOOTH_MIN = .001 - return np.clip(array, _SMOOTH_MIN, 1-_SMOOTH_MIN) diff --git a/comparison_algs_src/wittgenstein/wittgenstein.py b/comparison_algs_src/wittgenstein/wittgenstein.py deleted file mode 100644 index c5bee0e..0000000 --- a/comparison_algs_src/wittgenstein/wittgenstein.py +++ /dev/null @@ -1,6 +0,0 @@ -# Author: Ilan Moscovitz -# License: MIT - -from base import Cond, Rule, Ruleset -from irep import IREP -from ripper import RIPPER diff --git a/evaluation/experiments/comparison_algs_scripts/README.md b/evaluation/experiments/comparison_algs_scripts/README.md new file mode 100644 index 0000000..f1fdb11 --- /dev/null +++ b/evaluation/experiments/comparison_algs_scripts/README.md @@ -0,0 +1,532 @@ +# Comparison Algorithms Setup & Execution Guide + +This directory contains scripts and configurations for running **BioHEL**, **BioHEL RPE**, and **RIPPER** algorithms on benchmark datasets for comparative evaluation against HEROS. + +## Overview + +This experimental pipeline enables: +- Cross-validation partitioned execution across multiple random seeds +- BioHEL training with optional RPE (Rule Post-processing Engine) extension +- RIPPER rule learning via the Wittgenstein Python package +- Automated result aggregation and statistical analysis +- HPC (High-Performance Computing) batch job submission and management +- Reproducible paper results with all commands documented in `run_commands.txt` + +## Algorithm Implementations + +### BioHEL (Bioinformatic Hierarchical Evolutionary Learning) + +**BioHEL** is an evolutionary algorithm-based learning classifier system optimized for bioinformatics applications but applicable to general classification tasks. + +#### Installation & Setup + +##### 1. Download BioHEL Source + +Visit: **https://ico2s.org/software/biohel.html** + +- Download the BioHEL source code package +- Extract the archive: + ```bash + tar -xzf biohel_source.tar.gz + cd biohel_source + ``` + +##### 2. Build C Binaries + +Follow the build instructions provided with BioHEL source (typically): + +```bash +# Check for build requirements (see INSTALL or README in source) +./configure +make +make install +``` + +**Common build dependencies** (adjust for your system): +```bash +# macOS +brew install gcc + +# Ubuntu/Debian +sudo apt-get install build-essential +``` + +After successful build, the `biohel` executable will be generated. + +##### 3. Install in Comparison Scripts Directory + +Once built, make the binary accessible to the comparison scripts: + +```bash +# Option A: Copy the binary to the comparison scripts directory +cp /path/to/built/biohel ./biohel + +# Option B: Create a symlink +ln -s /path/to/built/biohel ./biohel + +# Option C: Add binary location to your PATH +export PATH="/path/to/built:$PATH" +``` + +Verify installation: +```bash +./biohel --help +# or +which biohel +``` + +#### BioHEL Configuration + +Configuration is managed through `.conf` files. See `biohel_sample.conf` for an example with key parameters: + +- **Population parameters**: `pop size`, `prob crossover`, `prob individual mutation` +- **Fitness function**: MDL (Minimum Description Length) based +- **Hyperrectangle representation**: Used for rule generalization +- **GPU support**: CUDA configuration options available +- **Iterations & coverage**: Controlled via `iterations`, `coverage ratio` + +Modify configuration parameters in `.conf` files as needed for your experiments. + +### BioHEL RPE (Rule Post-processing Engine) + +BioHEL RPE provides post-training rule refinement and optimization. + +#### Installation & Setup + +##### 1. Download BioHEL RPE Source + +Visit: **http://ico2s.org/software/biohel-rpe.html** + +- Download the BioHEL RPE source code package +- Extract the archive: + ```bash + tar -xzf biohel_rpe_source.tar.gz + cd biohel_rpe_source + ``` + +##### 2. Build RPE Binary + +Follow the build instructions provided with BioHEL RPE source: + +```bash +./configure +make +make install +``` + +##### 3. Install in Comparison Scripts Directory + +Make the `postprocess` executable accessible: + +```bash +# Option A: Copy the binary +cp /path/to/built/postprocess ./postprocess + +# Option B: Create a symlink +ln -s /path/to/built/postprocess ./postprocess + +# Option C: Add to PATH +export PATH="/path/to/built:$PATH" +``` + +Verify installation: +```bash +./postprocess --help +# or +which postprocess +``` + +#### Using BioHEL RPE + +Enable RPE post-processing in job scripts with the `--enable_rpe` flag: + +```bash +python job_biohel_hpc.py \ + --d \ + --o \ + --enable_rpe +``` + +RPE refines discovered rules for improved interpretability and performance. Configuration is managed through `postprocess.conf`. + +### RIPPER (Repeated Incremental Pruning to Produce Error Reduction) + +**RIPPER** is a classic rule-learning algorithm implemented via the **Wittgenstein** Python package. + +#### Installation + +Install the Wittgenstein package using pip: + +```bash +pip install wittgenstein +``` + +Verify installation: +```bash +python -c "import wittgenstein; print(wittgenstein.__version__)" +``` + +This provides a Python interface to RIPPER, enabling rule-based classification with minimal overhead and cross-platform compatibility. + +#### RIPPER Configuration + +RIPPER is configured through command-line arguments in job scripts: +- `--verbosity`: Control output verbosity (0 = minimal, higher = verbose) +- Dataset labels: outcome label, instance ID, excluded columns +- Random seed management for reproducibility + +No additional binary installation required—Wittgenstein handles all RIPPER functionality in Python. + +## Directory Structure + +``` +comparison_algs_scripts/ +├── README.md # This file +├── run_commands.txt # All commands needed to reproduce paper results +├── biohel_sample.conf # Example BioHEL configuration file +├── postprocess.conf # BioHEL RPE configuration +│ +├── Executables (must be built and placed here): +├── biohel # BioHEL binary (built from source) +├── postprocess # BioHEL RPE binary (built from source) +│ +├── Job submission scripts (HPC LSF): +├── job_biohel_hpc.py # Single BioHEL job (single dataset fold) +├── job_ripper_hpc.py # Single RIPPER job (single dataset fold) +├── job_biohel_sum_hpc.py # BioHEL aggregation job +├── job_ripper_sum_hpc.py # RIPPER aggregation job +├── job_sum_table_hpc.py # Final results table generation +│ +├── Runner scripts (generate & submit batch jobs): +├── run_biohel_hpc.py # Submit BioHEL jobs across CV folds & seeds +├── run_ripper_hpc.py # Submit RIPPER jobs across CV folds & seeds +├── run_biohel_sum_hpc.py # Submit BioHEL summary job +├── run_ripper_sum_hpc.py # Submit RIPPER summary job +│ +├── Utilities: +├── cleanup_hpc_artifacts.py # Remove scratch files and logs +├── check_failed_jobs.py # Monitor job completion status +│ +└── stats_scripts/ # Statistical comparison scripts + ├── combine_heros_for_stats.py # Aggregate HEROS results + └── job_statistical_test.py # Wilcoxon signed-rank tests +``` + +## Prerequisites + +Before running experiments, ensure all of the following are installed and configured: + +### 1. Python Environment +- **Python 3.7+** installed +- Required Python package: + ```bash + pip install wittgenstein + ``` + +### 2. BioHEL Binary +- Build from source: https://ico2s.org/software/biohel.html +- Place executable as `./biohel` or add to PATH +- Verify with: `./biohel --help` + +### 3. BioHEL RPE Binary (Optional, for RPE post-processing) +- Build from source: http://ico2s.org/software/biohel-rpe.html +- Place executable as `./postprocess` or add to PATH +- Verify with: `./postprocess --help` + +### 4. Data Preparation +- Input data should be in tab-separated format (`.txt`) +- Cross-validation partitions should be created first using the CV partitioning script +- Dataset must have: outcome/class column, instance ID column, optionally excluded columns + +### 5. HPC System Access (if running on cluster) +- LSF (Load Sharing Facility) or compatible job scheduler +- Access to shared storage for data and output + +## Workflow: From Data to Results + +### Step 1: Run BioHEL Training + +#### Option A: Single Debug Run (Local, No HPC) + +For testing on a single fold without HPC submission: + +```bash +python job_biohel_hpc.py \ + --d \ + --o \ + --ol \ + --il \ + --el \ + --rs \ + --enable_rpe \ + --v +``` + +#### Option B: Full Batch Submission (HPC/LSF) + +Submit BioHEL jobs across all CV folds and random seeds: + +```bash +python run_biohel_hpc.py \ + --d \ + --w \ + --o \ + --ol \ + --il \ + --el \ + --rc LSF \ + --rm 4 \ + --q i2c2_normal \ + --cv 10 \ + --r 20 \ + --enable_rpe +``` + +**Parameters**: +- `--d`: CV data directory or single training file +- `--w`: Output workspace root +- `--o`: Output subdirectory name +- `--ol`: Column name of outcome/class label +- `--il`: Column name of instance IDs +- `--el`: Excluded column name (e.g., experimental group identifier) +- `--rc`: Resource controller (LSF for HPC) +- `--rm`: Memory request (GB) +- `--q`: HPC queue name +- `--cv`: Number of CV folds +- `--r`: Number of random seeds/replicates +- `--enable_rpe`: Enable BioHEL RPE post-processing + +### Step 3: Run RIPPER Training + +#### Option A: Single Debug Run (Local, No HPC) + +For testing on a single fold without HPC submission: + +```bash +python job_ripper_hpc.py \ + --d \ + --o \ + --ol \ + --il \ + --el \ + --rs \ + --verbosity 0 \ + --v +``` + +#### Option B: Full Batch Submission (HPC/LSF) + +Submit RIPPER jobs across all CV folds and random seeds: + +```bash +python run_ripper_hpc.py \ + --d \ + --w \ + --o \ + --ol \ + --il \ + --el \ + --rc LSF \ + --rm 4 \ + --q i2c2_normal \ + --cv 10 \ + --r 20 \ + --verbosity 0 +``` + +**Parameters**: Same as BioHEL except: +- `--verbosity`: Output verbosity level (0 = minimal, 1+ = verbose) +- No `--enable_rpe` option (RIPPER doesn't use post-processing) + +### Step 4: Aggregate Results + +Once individual training jobs complete, aggregate results across all folds and seeds. + +#### Aggregate BioHEL Results + +```bash +python run_biohel_sum_hpc.py \ + --w \ + --o \ + --rc LSF \ + --rm 4 \ + --q i2c2_normal \ + --cv 10 \ + --r 20 +``` + +#### Aggregate RIPPER Results + +```bash +python run_ripper_sum_hpc.py \ + --w \ + --o \ + --rc LSF \ + --rm 4 \ + --q i2c2_normal \ + --cv 10 \ + --r 20 \ + --plots +``` + +### Step 5: Generate Paper Results Tables + +Generate comparative performance tables comparing all algorithms: + +```bash +python job_sum_table_hpc.py \ + --biohel_root \ + --ripper_root \ + --out +``` + +### Step 6: Statistical Analysis (Optional) + +Compare HEROS baseline against BioHEL and RIPPER using Wilcoxon signed-rank tests: + +```bash +# Combine HEROS results +python stats_scripts/combine_heros_for_stats.py \ + --root \ + --outdir \ + --outname combined_heros_cv_default_runs_long.csv + +# Run statistical tests +python stats_scripts/job_statistical_test.py \ + --heros_csv \ + --other_csv \ + --outdir \ + --prefix heros_baseline_wilcoxon \ + --alpha 0.05 +``` + +## Reproducing Paper Results + +### Quick Reference: Complete Experiment Workflow + +```bash +# 1. Create CV folds (prerequisite, shared across all algorithms) +python ../cv_partitioning/run_CV_Partitioner.py ... + +# 2. Submit BioHEL training jobs +python run_biohel_hpc.py ... + +# 3. Submit RIPPER training jobs +python run_ripper_hpc.py ... + +# 4. Wait for all jobs to complete +python check_failed_jobs.py + +# 5. Aggregate results +python run_biohel_sum_hpc.py ... +python run_ripper_sum_hpc.py ... + +# 6. Generate paper tables +python job_sum_table_hpc.py ... + +# 7. Optional: Statistical significance testing +python stats_scripts/job_statistical_test.py ... + +# 8. Optional: Cleanup scratch files +python cleanup_hpc_artifacts.py --w --yes +``` + +### All Experiment Commands + +**All commands needed to reproduce the exact paper results are documented in `run_commands.txt`.** + +This file contains the complete, tested pipeline including: +- CV fold creation commands with exact dataset paths +- BioHEL debug runs and full training pipelines (multiplexer and GAMETES datasets) +- RIPPER debug runs and full training pipelines +- Result aggregation steps +- Paper table generation +- Statistical significance testing +- Optional cleanup commands + +**Always reference `run_commands.txt` for the authoritative commands used in the paper.** + +## Monitoring and Troubleshooting + +### Check Job Status + +```bash +# List all current jobs +bjobs + +# Check specific queue +bqueues + +# List failed jobs +python check_failed_jobs.py +``` + +### BioHEL Binary Not Found + +```bash +# Verify BioHEL was built successfully +./biohel --help + +# Check if binary is in PATH +which biohel + +# If not found, build from source and create symlink or copy to this directory +ln -s /path/to/built/biohel ./biohel +``` + +### RIPPER/Wittgenstein Import Errors + +```bash +# Reinstall or upgrade Wittgenstein +pip install --upgrade wittgenstein + +# Verify installation +python -c "import wittgenstein; print('OK')" +``` + +### BioHEL RPE Errors (Optional) + +If using `--enable_rpe`: + +```bash +# Verify postprocess binary exists and is executable +./postprocess --help + +# Check postprocess.conf for correct configuration +cat postprocess.conf +``` + +### HPC Job Failures + +- Check job logs in the output directory +- Verify memory and time requirements match queue limits +- Ensure dataset labels (`--ol`, `--il`, `--el`) are consistent across runs +- Use `check_failed_jobs.py` to identify which folds/seeds failed +- Check shared storage accessibility and permissions + +### CV Fold Mismatch + +- Ensure CV folds are created with matching parameters across algorithms +- Verify dataset labels are consistent between CV partitioning and training +- Check file paths in `run_commands.txt` match your environment + +Statistical analysis uses Wilcoxon signed-rank tests for paired comparisons. + +## References + +- **BioHEL**: https://ico2s.org/software/biohel.html +- **BioHEL RPE**: http://ico2s.org/software/biohel-rpe.html +- **Wittgenstein (RIPPER Python package)**: https://github.com/imoscovitz/wittgenstein +- **RIPPER Original Paper**: Cohen, W.W. (1995). Fast Effective Rule Induction. In *Proceedings of the 12th International Conference on Machine Learning (ICML)* + +For HEROS training, see parent `../` directory for HEROS-specific runners. + +## Contact & Support + +For issues with: +- **BioHEL**: See https://ico2s.org/software/biohel.html +- **BioHEL RPE**: See http://ico2s.org/software/biohel-rpe.html +- **RIPPER/Wittgenstein**: See https://github.com/imoscovitz/wittgenstein +- **This pipeline**: Check `run_commands.txt` for exact commands and refer to script documentation + +--- diff --git a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/job_biohel_hpc.py b/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/job_biohel_hpc.py deleted file mode 100644 index 46bb13b..0000000 --- a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/job_biohel_hpc.py +++ /dev/null @@ -1,437 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import os -import sys -import re -import json -import time -import argparse -import subprocess -from dataclasses import dataclass -from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple - -import numpy as np -import pandas as pd - - -# ----------------------------- -# Data + ARFF helpers -# ----------------------------- -def load_df(path: str) -> pd.DataFrame: - return pd.read_csv(path, sep="\t") - - -def build_feature_names(df: pd.DataFrame, outcome_label: str, instanceID_label: str, excluded_column: str) -> List[str]: - cols = list(df.columns) - for c in [excluded_column, instanceID_label]: - if c in cols: - cols.remove(c) - if outcome_label in cols: - cols.remove(outcome_label) - return cols - - -def convert_to_arff(df: pd.DataFrame, feature_names: List[str], outcome_label: str, filename: Path, relation_name: str) -> None: - """ - Writes a simple discrete ARFF. - Assumes all features + class are categorical integer-like values. - """ - with open(filename, "w") as f: - f.write(f"@RELATION {relation_name}\n\n") - - for feat in feature_names: - unique_values = sorted(df[feat].unique()) - value_str = ",".join(map(str, [int(v) for v in unique_values])) - f.write(f"@ATTRIBUTE {feat} {{{value_str}}}\n") - - class_values = sorted(df[outcome_label].unique()) - class_str = ",".join(map(str, [int(v) for v in class_values])) - f.write(f"@ATTRIBUTE {outcome_label} {{{class_str}}}\n\n") - - f.write("@DATA\n") - for _, row in df.iterrows(): - vals = [str(int(row[feat])) for feat in feature_names] - vals.append(str(int(row[outcome_label]))) - f.write(",".join(vals) + "\n") - - -def create_biohel_config(output_path: Path, seed: int) -> None: - """ - Baseline config (your earlier one) + inject random seed. - Adjust any values here as needed; this is the canonical single source. - """ - config_content = f"""crossover operator 1px -default class major -fitness function mdl -initialization min classifiers 20 -initialization max classifiers 20 -iterations 50 -mdl initial tl ratio 0.25 -mdl iteration 10 -mdl weight relax factor 0.90 -pop size 500 -prob crossover 0.6 -prob individual mutation 0.6 -prob one 0.75 -selection algorithm tournamentwor -tournament size 4 -windowing ilas 1 -dump evolution stats -smart init -class wise init -coverage breakpoint 0.01 -repetitions of rule learning 2 -coverage ratio 0.90 -kr hyperrect -num expressed attributes init 15 -hyperrectangle uses list of attributes -prob generalize list 0.10 -prob specialize list 0.10 -expected number of attributes 10 -random seed {seed} -""" - output_path.write_text(config_content) - - -# ----------------------------- -# Rule parsing + coverage -# ----------------------------- -@dataclass(frozen=True) -class ParsedRule: - rule_id: int - conditions: Dict[str, int] # {"A_0": 1, ...} - prediction: int - is_default: bool = False - - -_RULE_HEADER_RE = re.compile(r"^\s*(\d+)\s*:(.*)$") -_COND_RE = re.compile(r"Att\s+([A-Za-z0-9_]+)\s+is\s+([-+]?\d+)") -_DEFAULT_RE = re.compile(r"Default\s+rule\s*->\s*([-+]?\d+)", re.IGNORECASE) - - -def parse_biohel_rule_line(line: str) -> Optional[ParsedRule]: - line = line.strip() - if not line: - return None - - # Default rule (may or may not have "12:" prefix) - mdef = _DEFAULT_RE.search(line) - if mdef: - mid = _RULE_HEADER_RE.match(line) - rule_id = int(mid.group(1)) if mid else -1 - pred = int(mdef.group(1)) - return ParsedRule(rule_id=rule_id, conditions={}, prediction=pred, is_default=True) - - m = _RULE_HEADER_RE.match(line) - if not m: - return None - - rule_id = int(m.group(1)) - rhs = m.group(2).strip() - - parts = [p.strip() for p in rhs.split("|") if p.strip()] - if not parts: - return None - - try: - pred = int(parts[-1]) - except ValueError: - return None - - cond_text = "|".join(parts[:-1]) - conds: Dict[str, int] = {} - for feat, val in _COND_RE.findall(cond_text): - conds[feat] = int(val) - - return ParsedRule(rule_id=rule_id, conditions=conds, prediction=pred, is_default=False) - - -def parse_biohel_rules(rule_lines: List[str]) -> Tuple[List[ParsedRule], Optional[ParsedRule]]: - rules: List[ParsedRule] = [] - default_rule: Optional[ParsedRule] = None - - for ln in rule_lines: - pr = parse_biohel_rule_line(ln) - if pr is None: - continue - if pr.is_default: - default_rule = pr - else: - rules.append(pr) - - rules.sort(key=lambda r: r.rule_id) - return rules, default_rule - - -def compute_rule_coverage(df: pd.DataFrame, rules: List[ParsedRule], excluded_columns: List[str]) -> Dict[str, float]: - """ - Coverage = fraction matched by at least one NON-default rule. - Default fall-through rate = 1 - coverage. - """ - X = df.drop(columns=[c for c in excluded_columns if c in df.columns], errors="ignore") - n = len(X) - if n == 0: - return {"coverage": float("nan"), "default_rate": float("nan")} - - matched_any = np.zeros(n, dtype=bool) - - for r in rules: - if not r.conditions: - matched_any |= True - continue - - mask = np.ones(n, dtype=bool) - for feat, val in r.conditions.items(): - if feat not in X.columns: - mask &= False - break - mask &= (X[feat].astype(int).values == int(val)) - - matched_any |= mask - if matched_any.all(): - break - - coverage = float(matched_any.mean()) - return {"coverage": coverage, "default_rate": float(1.0 - coverage)} - - -def per_rule_match_counts(df: pd.DataFrame, rules: List[ParsedRule], excluded_columns: List[str]) -> pd.DataFrame: - X = df.drop(columns=[c for c in excluded_columns if c in df.columns], errors="ignore") - n = len(X) - rows = [] - for r in rules: - mask = np.ones(n, dtype=bool) - for feat, val in r.conditions.items(): - if feat not in X.columns: - mask &= False - break - mask &= (X[feat].astype(int).values == int(val)) - rows.append( - { - "rule_id": r.rule_id, - "prediction": r.prediction, - "n_conditions": len(r.conditions), - "n_matched": int(mask.sum()), - "frac_matched": float(mask.mean()) if n else float("nan"), - } - ) - return pd.DataFrame(rows).sort_values("rule_id") - - -# ----------------------------- -# BioHEL stdout parsing -# ----------------------------- -def extract_phenotype_rules(stdout: str) -> List[str]: - """ - Extract rule lines between 'Phenotype:' and the first blank line / Train line. - Matches your earlier extractor but slightly more defensive. - """ - lines = stdout.splitlines() - rules: List[str] = [] - in_pheno = False - for ln in lines: - if ln.startswith("Phenotype:"): - in_pheno = True - continue - if in_pheno: - if not ln.strip(): - break - if ln.startswith("Train"): - break - rules.append(ln.rstrip()) - return rules - - -def parse_biohel_metrics(stdout: str, wall_time: float) -> Dict[str, Any]: - metrics: Dict[str, Any] = { - "wall_time": float(wall_time), - "train_accuracy": None, - "test_accuracy": None, - "runtime": None, - "num_rules": 0, - "rules": [], - } - - for line in stdout.splitlines(): - if "Train accuracy :" in line: - m = re.search(r"Train accuracy\s*:\s*([\d.]+)", line) - if m: - metrics["train_accuracy"] = float(m.group(1)) - if "Test accuracy :" in line: - m = re.search(r"Test accuracy\s*:\s*([\d.]+)", line) - if m: - metrics["test_accuracy"] = float(m.group(1)) - if "Total time:" in line: - m = re.search(r"Total time:\s*([\d.]+)", line) - if m: - metrics["runtime"] = float(m.group(1)) - - rule_lines = extract_phenotype_rules(stdout) - metrics["rules"] = [r.strip() for r in rule_lines if r.strip()] - metrics["num_rules"] = sum(1 for r in metrics["rules"] if "Default rule" not in r) - - return metrics - - -# ----------------------------- -# Main -# ----------------------------- -def main(argv): - parser = argparse.ArgumentParser(description="BioHEL HPC Job: one CV fold + one seed") - - parser.add_argument("--d", dest="full_data_path", type=str, required=True, - help="Path to training fold: _CV_Train_k.txt") - parser.add_argument("--o", dest="outputPath", type=str, required=True, - help="Output directory for this fold") - - parser.add_argument("--biohel", dest="biohel_bin", type=str, required=True, - help="BioHEL binary path or command on PATH") - - parser.add_argument("--ol", dest="outcome_label", type=str, default="Class") - parser.add_argument("--il", dest="instanceID_label", type=str, default="InstanceID") - parser.add_argument("--el", dest="excluded_column", type=str, default="Group") - - parser.add_argument("--rs", dest="random_state", type=int, default=42) - parser.add_argument("--v", dest="verbose", action="store_true") - - opts = parser.parse_args(argv[1:]) - - full_data_path = opts.full_data_path - outputPath = Path(opts.outputPath) - outputPath.mkdir(parents=True, exist_ok=True) - - biohel_bin = opts.biohel_bin - outcome_label = opts.outcome_label - instanceID_label = opts.instanceID_label - excluded_column = opts.excluded_column - seed = int(opts.random_state) - - test_data_path = full_data_path.replace("Train", "Test") - if not os.path.exists(test_data_path): - raise FileNotFoundError(f"Expected test fold at: {test_data_path}") - - # Load data - train_df = load_df(full_data_path) - test_df = load_df(test_data_path) - - # Build ARFF + config - feature_names = build_feature_names(train_df, outcome_label, instanceID_label, excluded_column) - - train_arff = outputPath / "train.arff" - test_arff = outputPath / "test.arff" - conf_path = outputPath / "config.conf" - - convert_to_arff(train_df, feature_names, outcome_label, train_arff, relation_name="Train") - convert_to_arff(test_df, feature_names, outcome_label, test_arff, relation_name="Test") - create_biohel_config(conf_path, seed=seed) - - # Run BioHEL - cmd = [biohel_bin, str(conf_path), str(train_arff), str(test_arff)] - start = time.time() - proc = subprocess.run(cmd, cwd=str(outputPath), capture_output=True, text=True) - wall_time = time.time() - start - - (outputPath / "biohel_stdout.txt").write_text(proc.stdout) - (outputPath / "biohel_stderr.txt").write_text(proc.stderr) - - if proc.returncode != 0: - raise RuntimeError(f"BioHEL failed (code {proc.returncode}). See biohel_stderr.txt") - - metrics = parse_biohel_metrics(proc.stdout, wall_time) - - # Persist exact rule block - raw_rules = metrics.get("rules", []) - (outputPath / "rules_raw.txt").write_text("\n".join(raw_rules) + ("\n" if raw_rules else "")) - - # Save rules.csv (raw strings) - if raw_rules: - pd.DataFrame({"Rule": raw_rules}).to_csv(outputPath / "rules.csv", index=False) - - # Parse rules + compute coverage - rules, default_rule = parse_biohel_rules(raw_rules) - excluded_cols = [excluded_column, instanceID_label, outcome_label] - - cov_train = compute_rule_coverage(train_df, rules, excluded_cols) - cov_test = compute_rule_coverage(test_df, rules, excluded_cols) - - metrics["train_coverage"] = cov_train["coverage"] - metrics["test_coverage"] = cov_test["coverage"] - metrics["train_default_rate"] = cov_train["default_rate"] - metrics["test_default_rate"] = cov_test["default_rate"] - - # Save parsed rules as a structured table - if rules or default_rule: - rows = [] - for r in rules: - rows.append( - { - "rule_id": r.rule_id, - "is_default": False, - "prediction": r.prediction, - "conditions_json": json.dumps(r.conditions, sort_keys=True), - "n_conditions": len(r.conditions), - } - ) - if default_rule is not None: - rows.append( - { - "rule_id": default_rule.rule_id, - "is_default": True, - "prediction": default_rule.prediction, - "conditions_json": json.dumps({}, sort_keys=True), - "n_conditions": 0, - } - ) - pd.DataFrame(rows).sort_values(["is_default", "rule_id"]).to_csv(outputPath / "rules_parsed.csv", index=False) - - # Save per-rule match diagnostics - if rules: - per_rule_match_counts(train_df, rules, excluded_cols).to_csv(outputPath / "train_rule_match_counts.csv", index=False) - per_rule_match_counts(test_df, rules, excluded_cols).to_csv(outputPath / "test_rule_match_counts.csv", index=False) - - # Save metrics.json - with open(outputPath / "metrics.json", "w") as f: - json.dump( - { - "train_file": full_data_path, - "test_file": test_data_path, - "seed": seed, - "metrics": metrics, - }, - f, - indent=2, - ) - - # Sentinel row CSV (used by main/check/resub + summary) - row = { - "train_file": full_data_path, - "test_file": test_data_path, - "seed": seed, - "train_accuracy": metrics.get("train_accuracy"), - "test_accuracy": metrics.get("test_accuracy"), - "train_coverage": metrics.get("train_coverage"), - "test_coverage": metrics.get("test_coverage"), - "train_default_rate": metrics.get("train_default_rate"), - "test_default_rate": metrics.get("test_default_rate"), - "num_rules": metrics.get("num_rules"), - "runtime": metrics.get("runtime"), - "wall_time": metrics.get("wall_time"), - } - pd.DataFrame([row]).to_csv(outputPath / "result_row.csv", index=False) - - if opts.verbose: - print( - "Done.", - f"seed={seed}", - f"test_acc={row['test_accuracy']}", - f"test_cov={row['test_coverage']}", - f"rules={row['num_rules']}", - ) - - return 0 - - -if __name__ == "__main__": - sys.exit(main(sys.argv)) diff --git a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/job_biohel_sum_hpc.py b/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/job_biohel_sum_hpc.py deleted file mode 100644 index 1e79d2d..0000000 --- a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/job_biohel_sum_hpc.py +++ /dev/null @@ -1,352 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import os -import sys -import argparse -from pathlib import Path -from typing import List - -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt -import seaborn as sns - - -def _safe_read_csv(path: Path) -> pd.DataFrame: - if not path.exists(): - raise FileNotFoundError(f"Missing expected file: {path}") - return pd.read_csv(path) - - -def _ensure_numeric(df: pd.DataFrame, cols: List[str]) -> pd.DataFrame: - out = df.copy() - for c in cols: - if c in out.columns: - out[c] = pd.to_numeric(out[c], errors="coerce") - return out - - -def _make_eval_df_from_result_row(result_row_path: Path) -> pd.DataFrame: - """ - Convert BioHEL's per-fold result_row.csv into a HEROS-like evaluation_summary.csv - structure with a single evaluation point: Row Indexes == 'final'. - - HEROS expects: - - a column 'Row Indexes' - - other metric columns numeric - """ - rr = _safe_read_csv(result_row_path) - - # Normalize column names we want to carry forward - # Keep a stable set across versions; missing ones become NaN. - wanted_cols = [ - "train_accuracy", - "test_accuracy", - "train_coverage", - "test_coverage", - "train_default_rate", - "test_default_rate", - "num_rules", - "runtime", - "wall_time", - ] - row = {} - for c in wanted_cols: - row[c] = rr[c].iloc[0] if c in rr.columns and len(rr) else np.nan - - out = pd.DataFrame([row]) - out.insert(0, "Row Indexes", "final") - return out - - -def main(argv): - parser = argparse.ArgumentParser(description="BioHEL summary job (HEROS-compatible outputs)") - - # Script Parameters - parser.add_argument("--o", dest="outputPath", type=str, required=True, - help="Path to BioHEL_ output folder (contains dataset subfolders)") - - # Keep these args for interface parity with HEROS (not strictly needed for BioHEL summary) - # parser.add_argument("--ol", dest="outcome_label", type=str, default="Class") - # parser.add_argument("--il", dest="instanceID_label", type=str, default="InstanceID") - # parser.add_argument("--el", dest="excluded_column", type=str, default="Group") - - # Experiment Parameters - parser.add_argument("--cv", dest="cv_partitions", type=int, default=10) - parser.add_argument("--r", dest="random_seeds", type=int, default=30) - - parser.add_argument("--plots", dest="plots", action="store_true", - help="If set, generate boxplots like HEROS") - - options = parser.parse_args(argv[1:]) - - outputPath = Path(options.outputPath) - cv_partitions = int(options.cv_partitions) - random_seeds = int(options.random_seeds) - make_plots = bool(options.plots) - - if not outputPath.exists(): - raise FileNotFoundError(f"Output path does not exist: {outputPath}") - - # Metrics we aggregate (superset; missing values allowed) - metric_cols = [ - "train_accuracy", - "test_accuracy", - "train_coverage", - "test_coverage", - "train_default_rate", - "test_default_rate", - "num_rules", - "runtime", - "wall_time", - ] - - # ---------------------------- - # 1) Create CV-level evaluation_summary.csv files (HEROS compatibility) - # (Optional but strongly recommended for consistency) - # ---------------------------- - for entry in os.listdir(outputPath): - data_level_path = outputPath / entry - if not data_level_path.is_dir(): - continue - - for i in range(0, random_seeds): - seed_level_path = data_level_path / f"seed_{i}" - if not seed_level_path.exists(): - continue - - for j in range(1, cv_partitions + 1): - cv_level_path = seed_level_path / f"cv_{j}" - if not cv_level_path.exists(): - continue - - eval_path = cv_level_path / "evaluation_summary.csv" - if eval_path.exists(): - # already there; do not overwrite - continue - - rr_path = cv_level_path / "result_row.csv" - if rr_path.exists(): - eval_df = _make_eval_df_from_result_row(rr_path) - eval_df.to_csv(eval_path, index=False) - - # ---------------------------- - # 2) Seed-level CV summaries (mean/sd across CV folds) - # Output filenames match HEROS: - # seed_i/mean_CV_evaluation_summary.csv - # seed_i/sd_CV_evaluation_summary.csv - # ---------------------------- - for entry in os.listdir(outputPath): - data_level_path = outputPath / entry - if not data_level_path.is_dir(): - continue - - for i in range(0, random_seeds): - seed_level_path = data_level_path / f"seed_{i}" - if not seed_level_path.is_dir(): - continue - - dfs = [] - row_names = None - - for j in range(1, cv_partitions + 1): - cv_level_path = seed_level_path / f"cv_{j}" - eval_path = cv_level_path / "evaluation_summary.csv" - if not eval_path.exists(): - continue - - df = _safe_read_csv(eval_path) - if "Row Indexes" not in df.columns: - continue - - row_names = df["Row Indexes"] - df_x = df.drop(columns=["Row Indexes"]) - df_x = _ensure_numeric(df_x, list(df_x.columns)) - dfs.append(df_x) - - if not dfs: - continue - - # Mean across CV folds - ave_df_x = pd.concat(dfs).groupby(level=0).mean() - mean_df = pd.concat([row_names, ave_df_x], axis=1) - mean_df.to_csv(seed_level_path / "mean_CV_evaluation_summary.csv", index=False) - - # SD across CV folds - sd_df_x = pd.concat(dfs).groupby(level=0).std() - sd_df = pd.concat([row_names, sd_df_x], axis=1) - sd_df.to_csv(seed_level_path / "sd_CV_evaluation_summary.csv", index=False) - - # ---------------------------- - # 3) Dataset-level seed summaries (mean/sd across seeds) - # Output filenames match HEROS: - # mean_seed_evaluation_summary.csv - # sd_seed_evaluation_summary.csv - # ---------------------------- - for entry in os.listdir(outputPath): - data_level_path = outputPath / entry - if not data_level_path.is_dir(): - continue - - dfs = [] - row_names = None - - for i in range(0, random_seeds): - seed_level_path = data_level_path / f"seed_{i}" - mean_path = seed_level_path / "mean_CV_evaluation_summary.csv" - if not mean_path.exists(): - continue - - df = _safe_read_csv(mean_path) - if "Row Indexes" not in df.columns: - continue - - row_names = df["Row Indexes"] - df_x = df.drop(columns=["Row Indexes"]) - df_x = _ensure_numeric(df_x, list(df_x.columns)) - dfs.append(df_x) - - if not dfs: - continue - - ave_df_x = pd.concat(dfs).groupby(level=0).mean() - mean_df = pd.concat([row_names, ave_df_x], axis=1) - mean_df.to_csv(data_level_path / "mean_seed_evaluation_summary.csv", index=False) - - sd_df_x = pd.concat(dfs).groupby(level=0).std() - sd_df = pd.concat([row_names, sd_df_x], axis=1) - sd_df.to_csv(data_level_path / "sd_seed_evaluation_summary.csv", index=False) - - # ---------------------------- - # 4) Global results lists (HEROS style) - # Since BioHEL only has one evaluation point, we use: - # Row Indexes == 'final' - # - # Output filenames match HEROS pattern: - # all_final_evaluations.csv (all seed×cv) - # cv_ave_final_evaluations.csv (CV-averaged per seed) - # ---------------------------- - for entry in os.listdir(outputPath): - data_level_path = outputPath / entry - if not data_level_path.is_dir(): - continue - - # all runs (seed×cv) - rows_all = [] - - for i in range(0, random_seeds): - seed_level_path = data_level_path / f"seed_{i}" - if not seed_level_path.is_dir(): - continue - - for j in range(1, cv_partitions + 1): - cv_level_path = seed_level_path / f"cv_{j}" - rr_path = cv_level_path / "result_row.csv" - if not rr_path.exists(): - continue - - rr = _safe_read_csv(rr_path) - rr_row = {c: (rr[c].iloc[0] if c in rr.columns and len(rr) else np.nan) for c in metric_cols} - rr_row["Seed"] = i - rr_row["CV"] = j - rows_all.append(rr_row) - - if rows_all: - df_all = pd.DataFrame(rows_all) - df_all = _ensure_numeric(df_all, metric_cols) - df_all.to_csv(data_level_path / "all_final_evaluations.csv", index=False) - - # CV-averaged per seed (seed-level mean across cv) - rows_cv_ave = [] - for i in range(0, random_seeds): - seed_level_path = data_level_path / f"seed_{i}" - mean_path = seed_level_path / "mean_CV_evaluation_summary.csv" - if not mean_path.exists(): - continue - - df = _safe_read_csv(mean_path) - df = _ensure_numeric(df, metric_cols) - - # pick the 'final' row - if "Row Indexes" not in df.columns: - continue - df_final = df[df["Row Indexes"] == "final"].copy() - if df_final.empty: - continue - - row = {c: (df_final[c].iloc[0] if c in df_final.columns else np.nan) for c in metric_cols} - row["Seed"] = i - rows_cv_ave.append(row) - - if rows_cv_ave: - df_cv_ave = pd.DataFrame(rows_cv_ave) - df_cv_ave = _ensure_numeric(df_cv_ave, metric_cols) - df_cv_ave.to_csv(data_level_path / "cv_ave_final_evaluations.csv", index=False) - - # ---------------------------- - # 5) Plots (HEROS-consistent filenames) - # ---------------------------- - if make_plots: - # These replicate HEROS output filenames: - # boxplot_testing_accuracy_all.png - # boxplot_rule_count_all.png - # And add coverage plots with consistent naming: - # boxplot_testing_coverage_all.png - # boxplot_train_coverage_all.png - for entry in os.listdir(outputPath): - data_level_path = outputPath / entry - if not data_level_path.is_dir(): - continue - - all_path = data_level_path / "all_final_evaluations.csv" - if not all_path.exists(): - continue - - df_all = _safe_read_csv(all_path) - df_all = _ensure_numeric(df_all, metric_cols + ["Seed", "CV"]) - - # Test accuracy boxplot (all runs) - if "test_accuracy" in df_all.columns: - plt.figure(figsize=(10, 6)) - sns.boxplot(data=df_all, y="test_accuracy") - plt.xlabel("") - plt.ylabel("Test Accuracy") - plt.title("Balanced Testing Accuracy (All Runs)") # keep generic title - plt.savefig(data_level_path / "boxplot_testing_accuracy_all.png", bbox_inches="tight") - plt.close() - - # Rule count boxplot (all runs) -> BioHEL uses num_rules; keep filename consistent - if "num_rules" in df_all.columns: - plt.figure(figsize=(10, 6)) - sns.boxplot(data=df_all, y="num_rules") - plt.xlabel("") - plt.ylabel("Rule Count") - plt.title("Rule Count (All Runs)") - plt.savefig(data_level_path / "boxplot_rule_count_all.png", bbox_inches="tight") - plt.close() - - # Coverage plots (new but consistent naming) - if "test_coverage" in df_all.columns: - plt.figure(figsize=(10, 6)) - sns.boxplot(data=df_all, y="test_coverage") - plt.xlabel("") - plt.ylabel("Test Coverage") - plt.title("Test Coverage (All Runs)") - plt.savefig(data_level_path / "boxplot_testing_coverage_all.png", bbox_inches="tight") - plt.close() - - if "train_coverage" in df_all.columns: - plt.figure(figsize=(10, 6)) - sns.boxplot(data=df_all, y="train_coverage") - plt.xlabel("") - plt.ylabel("Train Coverage") - plt.title("Train Coverage (All Runs)") - plt.savefig(data_level_path / "boxplot_train_coverage_all.png", bbox_inches="tight") - plt.close() - - return 0 - - -if __name__ == "__main__": - sys.exit(main(sys.argv)) diff --git a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/run_biohel_hpc.py b/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/run_biohel_hpc.py deleted file mode 100644 index 39774b4..0000000 --- a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/run_biohel_hpc.py +++ /dev/null @@ -1,298 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import sys -import os -import time -import argparse -from pathlib import Path - - -def submit_lsf_cluster_job( - scratchPath: str, - logPath: str, - reserved_memory_gb: int, - queue: str, - job_name: str, - python_cmd: str, - job_py: str, - full_data_path: str, - outputPath: str, - biohel_bin: str, - outcome_label: str, - instanceID_label: str, - excluded_column: str, - seed: int, - verbose: bool, -): - job_ref = str(time.time()) - full_job_name = f"BIOHEL_{job_name}_seed_{seed}_{job_ref}" - job_path = os.path.join(scratchPath, full_job_name + "_run.sh") - - with open(job_path, "w") as sh: - sh.write("#!/bin/bash\n") - sh.write(f"#BSUB -q {queue}\n") - sh.write(f"#BSUB -J {full_job_name}\n") - sh.write(f'#BSUB -R "rusage[mem={reserved_memory_gb}G]"\n') - sh.write(f"#BSUB -M {reserved_memory_gb}GB\n") - sh.write(f"#BSUB -o {os.path.join(logPath, full_job_name)}.o\n") - sh.write(f"#BSUB -e {os.path.join(logPath, full_job_name)}.e\n") - sh.write( - f"{python_cmd} {job_py}" - f" --d {full_data_path}" - f" --o {outputPath}" - f" --biohel {biohel_bin}" - f" --ol {outcome_label}" - f" --il {instanceID_label}" - f" --el {excluded_column}" - f" --rs {seed}" - + (" --v" if verbose else "") - + "\n" - ) - - os.system("bsub < " + job_path) - - -def submit_slurm_cluster_job( - scratchPath: str, - logPath: str, - reserved_memory_gb: int, - queue: str, - job_name: str, - python_cmd: str, - job_py: str, - full_data_path: str, - outputPath: str, - biohel_bin: str, - outcome_label: str, - instanceID_label: str, - excluded_column: str, - seed: int, - verbose: bool, -): - job_ref = str(time.time()) - full_job_name = f"BIOHEL_{job_name}_seed_{seed}_{job_ref}" - job_path = os.path.join(scratchPath, full_job_name + "_run.sh") - - with open(job_path, "w") as sh: - sh.write("#!/bin/bash\n") - sh.write(f"#SBATCH -p {queue}\n") - sh.write(f"#SBATCH --job-name={full_job_name}\n") - sh.write(f"#SBATCH --mem={reserved_memory_gb}G\n") - sh.write(f"#SBATCH -o {os.path.join(logPath, full_job_name)}.o\n") - sh.write(f"#SBATCH -e {os.path.join(logPath, full_job_name)}.e\n") - sh.write( - f"srun {python_cmd} {job_py}" - f" --d {full_data_path}" - f" --o {outputPath}" - f" --biohel {biohel_bin}" - f" --ol {outcome_label}" - f" --il {instanceID_label}" - f" --el {excluded_column}" - f" --rs {seed}" - + (" --v" if verbose else "") - + "\n" - ) - - os.system("sbatch " + job_path) - - -def main(argv): - parser = argparse.ArgumentParser(description="BioHEL CV + random seeds job submission (LSF/Slurm/Local)") - - # Script parameters - parser.add_argument("--d", dest="datafolder", type=str, required=True, - help="Path to data folder containing dataset subfolders.") - parser.add_argument("--w", dest="writepath", type=str, required=True, - help="Path where outputs/logs/scratch will be stored.") - parser.add_argument("--o", dest="outputfolder", type=str, default="myAnalysis", - help="Unique folder name for this analysis.") - - # Dataset parameters (match HEROS style) - parser.add_argument("--ol", dest="outcome_label", type=str, default="Class") - parser.add_argument("--il", dest="instanceID_label", type=str, default="InstanceID") - parser.add_argument("--el", dest="excluded_column", type=str, default="Group") - - # Experiment parameters - parser.add_argument("--cv", dest="cv_partitions", type=int, default=10) - parser.add_argument("--r", dest="random_seeds", type=int, default=30) - parser.add_argument("--rs", dest="random_state", type=int, default=42, - help="Used only when random_seeds==1, otherwise seeds are 0..r-1") - - # BioHEL parameters - parser.add_argument("--biohel", dest="biohel_bin", type=str, required=True, - help="Path to BioHEL binary (or command on PATH).") - - # HPC parameters - parser.add_argument("--rc", dest="run_cluster", type=str, default="LSF", - help="Cluster type: LSF, SLURM, or LOCAL") - parser.add_argument("--rm", dest="reserved_memory", type=int, default=4, - help="Reserved memory for job in GB") - parser.add_argument("--q", dest="queue", type=str, default="i2c2_normal", - help="LSF queue or Slurm partition") - parser.add_argument("--check", dest="check", action="store_true", - help="Check and report incomplete jobs") - parser.add_argument("--resub", dest="resubmit", action="store_true", - help="Resubmit incomplete jobs (only relevant with --check)") - parser.add_argument("--python", dest="python_cmd", type=str, default="python", - help="Python executable to use on nodes.") - parser.add_argument("--job", dest="job_script", type=str, default="job_biohel_hpc.py", - help="Worker job script filename.") - - parser.add_argument("--v", dest="verbose", action="store_true", - help="Verbose flag") - - options = parser.parse_args(argv[1:]) - - datafolder = options.datafolder - writepath = options.writepath - outputfolder = options.outputfolder - - outcome_label = options.outcome_label - instanceID_label = options.instanceID_label - excluded_column = options.excluded_column - - cv_partitions = options.cv_partitions - random_seeds = options.random_seeds - random_state = options.random_state - - biohel_bin = options.biohel_bin - - run_cluster = options.run_cluster.upper() - reserved_memory = options.reserved_memory - queue = options.queue - check = options.check - resubmit = options.resubmit - python_cmd = options.python_cmd - job_script = options.job_script - verbose = options.verbose - - algorithm = "BioHEL" - - # Folder management (mirror HEROS) - Path(writepath).mkdir(parents=True, exist_ok=True) - base_output_root = Path(writepath) / "output" - base_output_root.mkdir(exist_ok=True) - - scratchPath = Path(writepath) / "scratch" - scratchPath.mkdir(exist_ok=True) - - logPath = Path(writepath) / "logs" - logPath.mkdir(exist_ok=True) - - base_output_path_0 = base_output_root / f"{algorithm}_{outputfolder}" - base_output_path_0.mkdir(exist_ok=True) - - jobCount = 0 - missing_count = 0 - - # For each dataset subfolder (entry) - for entry in os.listdir(datafolder): - entry_path = os.path.join(datafolder, entry) - if not os.path.isdir(entry_path): - continue - - datapath = entry_path - base_output_path_1 = base_output_path_0 / entry - base_output_path_1.mkdir(exist_ok=True) - - for i in range(0, random_seeds): - if random_seeds > 1: - target_seed = i - else: - target_seed = random_state - - base_output_path_2 = base_output_path_1 / f"seed_{i}" - base_output_path_2.mkdir(exist_ok=True) - - for j in range(1, cv_partitions + 1): - full_data_path = os.path.join(datapath, f"{entry}_CV_Train_{j}.txt") - full_data_name = f"{entry}_CV_Train_{j}" - outputPath = base_output_path_2 / f"cv_{j}" - outputPath.mkdir(exist_ok=True) - - # Sentinel: consider job complete if result_row.csv exists - sentinel = outputPath / "result_row.csv" - - if check: - if not sentinel.exists(): - print("Missing: " + str(outputPath)) - missing_count += 1 - if resubmit: - # fall through to submission - pass - else: - continue - else: - continue - - # Submit or run locally - if run_cluster == "LSF": - submit_lsf_cluster_job( - str(scratchPath), - str(logPath), - reserved_memory, - queue, - full_data_name, - python_cmd, - job_script, - full_data_path, - str(outputPath), - biohel_bin, - outcome_label, - instanceID_label, - excluded_column, - target_seed, - verbose, - ) - jobCount += 1 - - elif run_cluster == "SLURM": - submit_slurm_cluster_job( - str(scratchPath), - str(logPath), - reserved_memory, - queue, - full_data_name, - python_cmd, - job_script, - full_data_path, - str(outputPath), - biohel_bin, - outcome_label, - instanceID_label, - excluded_column, - target_seed, - verbose, - ) - jobCount += 1 - - elif run_cluster == "LOCAL": - cmd = ( - f"{python_cmd} {job_script}" - f" --d {full_data_path}" - f" --o {outputPath}" - f" --biohel {biohel_bin}" - f" --ol {outcome_label}" - f" --il {instanceID_label}" - f" --el {excluded_column}" - f" --rs {target_seed}" - + (" --v" if verbose else "") - ) - rc = os.system(cmd) - if rc != 0: - print(f"LOCAL run failed: {cmd}") - jobCount += 1 - - else: - print("ERROR: Cluster type not found. Use LSF, SLURM, or LOCAL.") - return 1 - - print(str(jobCount) + " jobs submitted successfully") - if check: - print(str(missing_count) + " jobs incomplete") - return 0 - - -if __name__ == "__main__": - sys.exit(main(sys.argv)) diff --git a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/run_biohel_sum_hpc.py b/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/run_biohel_sum_hpc.py deleted file mode 100644 index 89973a9..0000000 --- a/evaluation/experiments/comparison_algs_scripts/biohel_wo_pp/run_biohel_sum_hpc.py +++ /dev/null @@ -1,166 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import sys -import os -import time -import argparse - - -def main(argv): - parser = argparse.ArgumentParser(description="BioHEL summary submission (LSF/Slurm/Local)") - - # Script parameters - parser.add_argument("--w", dest="writepath", type=str, required=True, - help="Path where outputs/logs/scratch live") - parser.add_argument("--o", dest="outputfolder", type=str, required=True, - help="Unique folder name for this analysis") - - # Experiment parameters - parser.add_argument("--cv", dest="cv_partitions", type=int, default=10) - parser.add_argument("--r", dest="random_seeds", type=int, default=30) - - # HPC parameters - parser.add_argument("--rc", dest="run_cluster", type=str, default="LSF", - help="Cluster type: LSF, SLURM, or LOCAL") - parser.add_argument("--rm", dest="reserved_memory", type=int, default=4, - help="Reserved memory (GB)") - parser.add_argument("--q", dest="queue", type=str, default="normal", - help="LSF queue or Slurm partition") - parser.add_argument("--python", dest="python_cmd", type=str, default="python", - help="Python executable") - parser.add_argument("--job", dest="job_script", type=str, default="job_biohel_sum_hpc.py", - help="Summary worker script") - - parser.add_argument("--plots", dest="plots", action="store_true", - help="Generate plots in summary") - - options = parser.parse_args(argv[1:]) - - writepath = options.writepath - outputfolder = options.outputfolder - cv_partitions = options.cv_partitions - random_seeds = options.random_seeds - - run_cluster = options.run_cluster.upper() - reserved_memory = options.reserved_memory - queue = options.queue - python_cmd = options.python_cmd - job_script = options.job_script - plots = options.plots - - algorithm = "BioHEL" - - # Folder management (mirror HEROS) - if not os.path.exists(writepath): - os.mkdir(writepath) - - base_output_path = os.path.join(writepath, "output") - if not os.path.exists(base_output_path): - os.mkdir(base_output_path) - - scratchPath = os.path.join(writepath, "scratch") - if not os.path.exists(scratchPath): - os.mkdir(scratchPath) - - logPath = os.path.join(writepath, "logs") - if not os.path.exists(logPath): - os.mkdir(logPath) - - base_output_path_0 = os.path.join(base_output_path, f"{algorithm}_{outputfolder}") - if not os.path.exists(base_output_path_0): - os.mkdir(base_output_path_0) - - if run_cluster == "LSF": - submit_lsf_cluster_job( - scratchPath, logPath, reserved_memory, queue, - base_output_path_0, cv_partitions, random_seeds, - outputfolder, python_cmd, job_script, plots - ) - elif run_cluster == "SLURM": - submit_slurm_cluster_job( - scratchPath, logPath, reserved_memory, queue, - base_output_path_0, cv_partitions, random_seeds, - outputfolder, python_cmd, job_script, plots - ) - elif run_cluster == "LOCAL": - cmd = ( - f"{python_cmd} {job_script}" - f" --o {base_output_path_0}" - f" --cv {cv_partitions}" - f" --r {random_seeds}" - + (" --plots" if plots else "") - ) - rc = os.system(cmd) - if rc != 0: - print("LOCAL summary failed.") - return 1 - else: - print("ERROR: Cluster type not found") - return 1 - - print("1 job submitted successfully") - return 0 - - -def submit_lsf_cluster_job( - scratchPath, logPath, reserved_memory, queue, - base_output_path_0, cv_partitions, random_seeds, - outputfolder, python_cmd, job_script, plots -): - job_ref = str(time.time()) - job_name = f"BIOHEL_summary_{outputfolder}_{job_ref}" - job_path = os.path.join(scratchPath, job_name + "_run.sh") - - with open(job_path, "w") as sh: - sh.write("#!/bin/bash\n") - sh.write("#BSUB -q " + queue + "\n") - sh.write("#BSUB -J " + job_name + "\n") - sh.write('#BSUB -R "rusage[mem=' + str(reserved_memory) + 'G]"\n') - sh.write("#BSUB -M " + str(reserved_memory) + "GB\n") - sh.write("#BSUB -o " + os.path.join(logPath, job_name) + ".o\n") - sh.write("#BSUB -e " + os.path.join(logPath, job_name) + ".e\n") - - cmd = ( - f"{python_cmd} {job_script}" - f" --o {base_output_path_0}" - f" --cv {cv_partitions}" - f" --r {random_seeds}" - + (" --plots" if plots else "") - ) - sh.write(cmd + "\n") - - os.system("bsub < " + job_path) - - -def submit_slurm_cluster_job( - scratchPath, logPath, reserved_memory, queue, - base_output_path_0, cv_partitions, random_seeds, - outputfolder, python_cmd, job_script, plots -): - job_ref = str(time.time()) - job_name = f"BIOHEL_summary_{outputfolder}_{job_ref}" - job_path = os.path.join(scratchPath, job_name + "_run.sh") - - with open(job_path, "w") as sh: - sh.write("#!/bin/bash\n") - sh.write("#SBATCH -p " + queue + "\n") - sh.write("#SBATCH --job-name=" + job_name + "\n") - sh.write("#SBATCH --mem=" + str(reserved_memory) + "G\n") - sh.write("#SBATCH -o " + os.path.join(logPath, job_name) + ".o\n") - sh.write("#SBATCH -e " + os.path.join(logPath, job_name) + ".e\n") - - cmd = ( - f"srun {python_cmd} {job_script}" - f" --o {base_output_path_0}" - f" --cv {cv_partitions}" - f" --r {random_seeds}" - + (" --plots" if plots else "") - ) - sh.write(cmd + "\n") - - os.system("sbatch " + job_path) - - -if __name__ == "__main__": - sys.exit(main(sys.argv)) diff --git a/evaluation/experiments/comparison_algs_scripts/job_biohel_hpc.py b/evaluation/experiments/comparison_algs_scripts/job_biohel_hpc.py index b108ef6..06f0149 100644 --- a/evaluation/experiments/comparison_algs_scripts/job_biohel_hpc.py +++ b/evaluation/experiments/comparison_algs_scripts/job_biohel_hpc.py @@ -126,13 +126,13 @@ def create_biohel_config(output_path: Path, seed: int) -> None: fitness function mdl initialization min classifiers 20 initialization max classifiers 20 -iterations 2000 +iterations 1000 mdl initial tl ratio 0.25 -mdl iteration 50 +mdl iteration 10 mdl weight relax factor 0.90 -pop size 2000 -prob crossover 0.8 -prob individual mutation 0.1 +pop size 1000 +prob crossover 0.6 +prob individual mutation 0.6 prob one 0.75 selection algorithm tournamentwor tournament size 5 @@ -501,8 +501,8 @@ def main(argv): "wall_time": float(wall_time), # trace: what BioHEL printed (if present) - "train_accuracy_reported": train_acc_reported, - "test_accuracy_reported": test_acc_reported, + # "train_accuracy_reported": train_acc_reported, + # "test_accuracy_reported": test_acc_reported, } pd.DataFrame([raw_row]).to_csv(outdir / "result_row_raw.csv", index=False) diff --git a/evaluation/experiments/comparison_algs_scripts/job_sum_table_hpc.py b/evaluation/experiments/comparison_algs_scripts/job_sum_table_hpc.py index 2131cb0..4d29062 100644 --- a/evaluation/experiments/comparison_algs_scripts/job_sum_table_hpc.py +++ b/evaluation/experiments/comparison_algs_scripts/job_sum_table_hpc.py @@ -37,6 +37,7 @@ import os import re import json +import math import argparse from typing import Any, Dict, List, Optional, Tuple @@ -262,7 +263,8 @@ def fmt_mean_std(series: pd.Series, digits: Optional[int]) -> str: if float(mean).is_integer() and float(std).is_integer(): return f"{int(mean)} ({int(std)})" return f"{mean} ({std})" - return f"{round(mean, digits)} ({round(std, digits)})" + return f"{float(mean):.{digits}f}({float(std):.{digits}f})" + # return f"{round(mean, digits)} ({round(std, digits)})" def build_summary(df_long: pd.DataFrame) -> pd.DataFrame: @@ -276,8 +278,8 @@ def build_summary(df_long: pd.DataFrame) -> pd.DataFrame: "Scenario": scenario, "Test Acc.": fmt_mean_std(g["test_accuracy"], 3), "Test Cover": fmt_mean_std(g["test_coverage"], 3), - "Rule Count": fmt_mean_std(g["rule_count"], 3), - "Run Time": fmt_mean_std(g["run_time_minutes"], 3), + "Rule Count": fmt_mean_std(g["rule_count"], 1), + "Run Time": fmt_mean_std(g["run_time_minutes"], 1), "Ideal Solution": ideal_solution_k_over_n(g, dataset, scenario), }) diff --git a/evaluation/experiments/comparison_algs_scripts/lsf_watch_finish.sh b/evaluation/experiments/comparison_algs_scripts/lsf_watch_finish.sh deleted file mode 100755 index df0e92d..0000000 --- a/evaluation/experiments/comparison_algs_scripts/lsf_watch_finish.sh +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail - -# Watcher-only: submit one LSF job that waits until a given user has ZERO unfinished jobs, -# then triggers an LSF email notification on completion. -# -# Usage: -# ./lsf_watch_user_idle.sh -e you@domain.com [-U user] [-q queue] [-P poll_seconds] [-J watcher_job_name] -# -# Notes: -# - This watches ALL unfinished jobs for the user (PEND/RUN/etc). Any new jobs the user submits will extend the wait. -# - Email content is whatever your LSF cluster sends for -N notifications. - -EMAIL="raptor419heavy@gmail.com" -WATCH_USER="bandheyh" -QUEUE="i2c2_normal" -POLL_SECONDS=30 -WATCHER_NAME="notify_user_idle" - -while getopts ":e:U:q:P:J:" opt; do - case "$opt" in - e) EMAIL="$OPTARG" ;; - U) WATCH_USER="$OPTARG" ;; - q) QUEUE="$OPTARG" ;; - P) POLL_SECONDS="$OPTARG" ;; - J) WATCHER_NAME="$OPTARG" ;; - *) echo "Usage: $0 -e you@domain.com [-U user] [-q queue] [-P poll_seconds] [-J watcher_job_name]" >&2; exit 2 ;; - esac -done - -if [[ -z "${EMAIL}" ]]; then - echo "Missing -e email address." >&2 - echo "Usage: $0 -e you@domain.com [-U user] [-q queue] [-P poll_seconds] [-J watcher_job_name]" >&2 - exit 2 -fi -if [[ -z "${WATCH_USER}" ]]; then - echo "Could not determine user. Provide -U ." >&2 - exit 2 -fi - -command -v bsub >/dev/null 2>&1 || { echo "bsub not found in PATH (LSF env not loaded)." >&2; exit 2; } -command -v bjobs >/dev/null 2>&1 || { echo "bjobs not found in PATH (LSF env not loaded)." >&2; exit 2; } - -watcher_cmd=$(cat <<'EOF' -set -euo pipefail -WATCH_USER="__WATCH_USER__" -POLL_SECONDS="__POLL_SECONDS__" - -echo "LSF watcher started on $(hostname) at $(date)" -echo "Monitoring unfinished jobs for user: ${WATCH_USER}" -echo "Poll interval: ${POLL_SECONDS}s" -echo "Caveat: new jobs submitted by ${WATCH_USER} will extend the wait." - -while true; do - # bjobs shows unfinished jobs by default; -u restricts to the user. - # We strip header and blank lines; if nothing remains, user is idle. - lines="$(bjobs -u "${WATCH_USER}" 2>/dev/null | tail -n +2 || true)" - lines="$(echo "${lines}" | sed '/^[[:space:]]*$/d' || true)" - - if [[ -z "${lines}" ]]; then - echo "No unfinished jobs for ${WATCH_USER} at $(date). Exiting watcher." - break - fi - - count="$(echo "${lines}" | wc -l | tr -d ' ')" - echo "Unfinished jobs for ${WATCH_USER}: ${count} (as of $(date))" - sleep "${POLL_SECONDS}" -done -EOF -) - -watcher_cmd="${watcher_cmd/__WATCH_USER__/${WATCH_USER}}" -watcher_cmd="${watcher_cmd/__POLL_SECONDS__/${POLL_SECONDS}}" - -# Submit the watcher job; -N requests email notification; -u sets the recipient. -if [[ -n "${QUEUE}" ]]; then - bsub -q "${QUEUE}" -J "${WATCHER_NAME}_${WATCH_USER}" -N -u "${EMAIL}" bash -lc "${watcher_cmd}" -else - bsub -J "${WATCHER_NAME}_${WATCH_USER}" -N -u "${EMAIL}" bash -lc "${watcher_cmd}" -fi diff --git a/evaluation/experiments/comparison_algs_scripts/single_run/biohel_job.py b/evaluation/experiments/comparison_algs_scripts/single_run/biohel_job.py deleted file mode 100644 index c339b6c..0000000 --- a/evaluation/experiments/comparison_algs_scripts/single_run/biohel_job.py +++ /dev/null @@ -1,248 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import argparse -import os -import re -import time -import json -import subprocess -from pathlib import Path -from typing import Dict, Any, List, Tuple - -import numpy as np -import pandas as pd - - -DATASET_CONFIGS: Dict[str, Dict[str, Any]] = { - "MUX6": { - "train_path": "../datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Train_1.txt", - "test_path": "../datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "category": "Multiplexer", - "features": 6, - }, - "MUX11": { - "train_path": "../datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Train_1.txt", - "test_path": "../datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "category": "Multiplexer", - "features": 11, - }, - "MUX20": { - "train_path": "../datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Train_1.txt", - "test_path": "../datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "category": "Multiplexer", - "features": 20, - }, - "GAM_A": { - "train_path": "../datasets/gametes/A_uni_4add_CV_Train_1.txt", - "test_path": "../datasets/gametes/A_uni_4add_CV_Test_1.txt", - "excluded_columns": ["Class"], - "category": "GAMETES", - "features": 100, - }, - "GAM_C": { - "train_path": "../datasets/gametes/C_2way_epistasis_CV_Train_1.txt", - "test_path": "../datasets/gametes/C_2way_epistasis_CV_Test_1.txt", - "excluded_columns": ["Class"], - "category": "GAMETES", - "features": 100, - }, - "GAM_E": { - "train_path": "../datasets/gametes/E_uni_4het_CV_Train_1.txt", - "test_path": "../datasets/gametes/E_uni_4het_CV_Test_1.txt", - "excluded_columns": ["Model", "InstanceID", "Class"], - "category": "GAMETES", - "features": 100, - }, -} - - -def load_dataset(config: Dict[str, Any]) -> Tuple[List[str], pd.DataFrame, pd.DataFrame]: - train_df = pd.read_csv(config["train_path"], sep="\t") - test_df = pd.read_csv(config["test_path"], sep="\t") - feature_names = [c for c in train_df.columns if c not in config["excluded_columns"]] - return feature_names, train_df, test_df - - -def convert_to_arff(df: pd.DataFrame, feature_names: List[str], filename: Path, relation_name: str) -> None: - with open(filename, "w") as f: - f.write(f"@RELATION {relation_name}\n\n") - - for feat in feature_names: - unique_values = sorted(df[feat].unique()) - value_str = ",".join(map(str, [int(v) for v in unique_values])) - f.write(f"@ATTRIBUTE {feat} {{{value_str}}}\n") - - class_values = sorted(df["Class"].unique()) - class_str = ",".join(map(str, [int(v) for v in class_values])) - f.write(f"@ATTRIBUTE Class {{{class_str}}}\n\n") - - f.write("@DATA\n") - for _, row in df.iterrows(): - values = [str(int(row[feat])) for feat in feature_names] - values.append(str(int(row["Class"]))) - f.write(",".join(values) + "\n") - - -def create_biohel_config(output_path: Path) -> None: - config_content = """crossover operator 1px -default class major -fitness function mdl -initialization min classifiers 20 -initialization max classifiers 20 -iterations 50 -mdl initial tl ratio 0.25 -mdl iteration 10 -mdl weight relax factor 0.90 -pop size 500 -prob crossover 0.6 -prob individual mutation 0.6 -prob one 0.75 -selection algorithm tournamentwor -tournament size 4 -windowing ilas 1 -dump evolution stats -smart init -class wise init -coverage breakpoint 0.01 -repetitions of rule learning 2 -coverage ratio 0.90 -kr hyperrect -num expressed attributes init 15 -hyperrectangle uses list of attributes -prob generalize list 0.10 -prob specialize list 0.10 -expected number of attributes 10 -random seed 42 -""" - with open(output_path, "w") as f: - f.write(config_content) - - -def parse_biohel_output(output: str, wall_time: float) -> Dict[str, Any]: - results: Dict[str, Any] = { - "wall_time": float(wall_time), - "test_accuracy": None, - "train_accuracy": None, - "num_rules": 0, - "runtime": None, - "rules": [], - } - - for line in output.splitlines(): - if "Train accuracy :" in line: - m = re.search(r"Train accuracy\s*:\s*([\d.]+)", line) - if m: - results["train_accuracy"] = float(m.group(1)) - if "Test accuracy :" in line: - m = re.search(r"Test accuracy\s*:\s*([\d.]+)", line) - if m: - results["test_accuracy"] = float(m.group(1)) - if "Total time:" in line: - m = re.search(r"Total time:\s*([\d.]+)", line) - if m: - results["runtime"] = float(m.group(1)) - - in_phenotype = False - for line in output.splitlines(): - if line.startswith("Phenotype:"): - in_phenotype = True - continue - if in_phenotype: - if line.strip() and not line.startswith("Train"): - results["rules"].append(line.strip()) - results["num_rules"] += 1 - else: - break - - return results - - -def main() -> None: - p = argparse.ArgumentParser(description="BioHELJob: run one dataset and write outputs deterministically") - p.add_argument("--project", required=True) - p.add_argument("--out-path", required=True) - p.add_argument("--dataset", required=True, choices=sorted(DATASET_CONFIGS.keys())) - p.add_argument("--biohel-bin", default="./biohel", help="BioHEL binary path or command") - args = p.parse_args() - - base = Path(args.out_path) / args.project - ds = args.dataset - cfg = DATASET_CONFIGS[ds] - - # results for this dataset - ds_dir = base / "results" / ds - ds_dir.mkdir(parents=True, exist_ok=True) - - # deterministic input artifacts for this dataset - train_arff = ds_dir / "train.arff" - test_arff = ds_dir / "test.arff" - conf_path = ds_dir / "config.conf" - - # 1) Prepare inputs (ARFF + config) inside the Job so each job is independent - feature_names, train_df, test_df = load_dataset(cfg) - convert_to_arff(train_df, feature_names, train_arff, f"{ds}_Train") - convert_to_arff(test_df, feature_names, test_arff, f"{ds}_Test") - create_biohel_config(conf_path) - - # 2) Run BioHEL - cmd = [args.biohel_bin, str(conf_path), str(train_arff), str(test_arff)] - - start = time.time() - print(f"Running BioHEL for dataset {ds}...") - print(f"Command: {' '.join(cmd)}") - # proc = subprocess.run(cmd, cwd=str(ds_dir), capture_output=True, text=True) - proc = subprocess.run(cmd, capture_output=True, text=True) - wall_time = time.time() - start - - # always write raw logs for debugging - (ds_dir / "biohel_stdout.txt").write_text(proc.stdout) - (ds_dir / "biohel_stderr.txt").write_text(proc.stderr) - - if proc.returncode != 0: - # fail loudly: scheduler will mark job failed; stderr is preserved - raise RuntimeError(f"BioHEL failed for {ds} (code {proc.returncode}). See biohel_stderr.txt") - - # 3) Parse + write metrics - metrics = parse_biohel_output(proc.stdout, wall_time) - - # write JSON metrics - with open(ds_dir / "metrics.json", "w") as f: - json.dump( - { - "dataset": ds, - "category": cfg["category"], - "features": cfg["features"], - "metrics": metrics, - }, - f, - indent=2, - ) - - # write rules CSV (if any) - rules = metrics.get("rules", []) - if rules: - pd.DataFrame({"Rule": rules}).to_csv(ds_dir / "rules.csv", index=False) - - # write a single-row CSV for easy aggregation - row = { - "Dataset": ds, - "Category": cfg["category"], - "Features": cfg["features"], - "Algorithm": "BioHEL", - "Test Accuracy": metrics.get("test_accuracy"), - "Train Accuracy": metrics.get("train_accuracy"), - "Num Rules": metrics.get("num_rules"), - "Training Time (s)": metrics.get("runtime"), - "Wall Time (s)": metrics.get("wall_time"), - } - pd.DataFrame([row]).to_csv(ds_dir / "result_row.csv", index=False) - - print(f"Completed {ds}. Test Acc={metrics.get('test_accuracy')} Rules={metrics.get('num_rules')}") - - -if __name__ == "__main__": - main() diff --git a/evaluation/experiments/comparison_algs_scripts/single_run/biohel_main.py b/evaluation/experiments/comparison_algs_scripts/single_run/biohel_main.py deleted file mode 100644 index 72314c8..0000000 --- a/evaluation/experiments/comparison_algs_scripts/single_run/biohel_main.py +++ /dev/null @@ -1,236 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import argparse -import os -import uuid -from pathlib import Path -from typing import List, Dict, Any, Optional - - -# ----------------------------- -# Dataset configs -# ----------------------------- -DATASET_CONFIGS: Dict[str, Dict[str, Any]] = { - "MUX6": { - "train_path": "../datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Train_1.txt", - "test_path": "../datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "category": "Multiplexer", - "features": 6, - }, - "MUX11": { - "train_path": "../datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Train_1.txt", - "test_path": "../datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "category": "Multiplexer", - "features": 11, - }, - "MUX20": { - "train_path": "../datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Train_1.txt", - "test_path": "../datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "category": "Multiplexer", - "features": 20, - }, - "GAM_A": { - "train_path": "../datasets/gametes/A_uni_4add_CV_Train_1.txt", - "test_path": "../datasets/gametes/A_uni_4add_CV_Test_1.txt", - "excluded_columns": ["Class"], - "category": "GAMETES", - "features": 100, - }, - "GAM_C": { - "train_path": "../datasets/gametes/C_2way_epistasis_CV_Train_1.txt", - "test_path": "../datasets/gametes/C_2way_epistasis_CV_Test_1.txt", - "excluded_columns": ["Class"], - "category": "GAMETES", - "features": 100, - }, - "GAM_E": { - "train_path": "../datasets/gametes/E_uni_4het_CV_Train_1.txt", - "test_path": "../datasets/gametes/E_uni_4het_CV_Test_1.txt", - "excluded_columns": ["Model", "InstanceID", "Class"], - "category": "GAMETES", - "features": 100, - }, -} -DATASETS: List[str] = list(DATASET_CONFIGS.keys()) - - -# ----------------------------- -# Utilities -# ----------------------------- -def ensure_dirs(base: Path) -> None: - for d in (base / "jobs", base / "logs", base / "results", base / "figures"): - d.mkdir(parents=True, exist_ok=True) - - -def write_text(path: Path, s: str) -> None: - path.parent.mkdir(parents=True, exist_ok=True) - path.write_text(s) - - -def lsf_header( - job_name: str, - queue: str, - time_hhmm: str, - mem_gb: int, - cpus: int, - out_log: Path, - err_log: Path, -) -> str: - # LSF uses -W H:MM and rusage[mem=MB] - mem_mb = mem_gb * 1024 - return f"""#!/bin/bash -#BSUB -J {job_name} -#BSUB -q {queue} -#BSUB -W {time_hhmm} -#BSUB -R "rusage[mem={mem_mb}]" -#BSUB -n {cpus} -#BSUB -o {out_log} -#BSUB -e {err_log} - -set -euo pipefail -""" - - -def slurm_header( - job_name: str, - partition: str, - time_hhmm: str, - mem_gb: int, - cpus: int, - out_log: Path, - err_log: Path, -) -> str: - # Slurm uses --time and --mem (MB by default if integer; allow "G" suffix too) - # Use mem in GB explicitly for clarity. - return f"""#!/bin/bash -#SBATCH --job-name={job_name} -#SBATCH --partition={partition} -#SBATCH --time={time_hhmm} -#SBATCH --cpus-per-task={cpus} -#SBATCH --mem={mem_gb}G -#SBATCH --output={out_log} -#SBATCH --error={err_log} -set -euo pipefail -""" - - -def main() -> None: - p = argparse.ArgumentParser( - description="BioHELMain: submit one dataset per job using LSF or Slurm." - ) - p.add_argument("--project", required=True, help="Project folder name under out_path") - p.add_argument("--out-path", required=True, help="Base output directory (e.g., /scratch/$USER)") - p.add_argument( - "--hpc", - choices=["lsf", "slurm", "local"], - default="lsf", - help="Scheduler type: lsf, slurm, or local (no submission)", - ) - - # Common resources - p.add_argument("--time", default="20:00", help="Walltime H:MM (LSF -W / Slurm --time)") - p.add_argument("--mem", type=int, default=4, help="Memory in GB") - p.add_argument("--cpus", type=int, default=1, help="CPUs (-n for LSF, --cpus-per-task for Slurm)") - p.add_argument("--python", default="python", help="Python executable on compute nodes") - p.add_argument("--biohel-bin", default="./biohel", help="BioHEL binary path or command") - - # LSF-specific - p.add_argument("--queue", default="i2c2_normal", help="LSF queue (-q) [used when --hpc=lsf], SLURM eqivalent to partition") - - # Selection - p.add_argument( - "--datasets", - nargs="*", - default=DATASETS, - help="Optional subset of datasets to run (default: all)", - ) - - # Environment bootstrap on compute node - p.add_argument( - "--env-setup", - default="", - help="Optional shell lines for env setup (module load / conda activate), inserted into job script.", - ) - - args = p.parse_args() - - base = Path(args.out_path) / args.project - ensure_dirs(base) - - job_script_name = "biohel_job.py" - - for ds in args.datasets: - if ds not in DATASET_CONFIGS: - raise ValueError(f"Unknown dataset: {ds}. Known: {sorted(DATASET_CONFIGS.keys())}") - - uid = f"{args.project}_{ds}_{uuid.uuid4().hex[:6]}" - - job_file = base / "jobs" / f"{uid}.sh" - out_log = base / "logs" / f"{uid}.out" - err_log = base / "logs" / f"{uid}.err" - - # Header depends on scheduler - if args.hpc == "lsf": - header = lsf_header( - job_name=uid, - queue=args.queue, - time_hhmm=args.time, - mem_gb=args.mem, - cpus=args.cpus, - out_log=out_log, - err_log=err_log, - ) - submit_cmd = f"bsub < {job_file}" - - elif args.hpc == "slurm": - header = slurm_header( - job_name=uid, - partition=args.queue, - time_hhmm=args.time, - mem_gb=args.mem, - cpus=args.cpus, - out_log=out_log, - err_log=err_log, - ) - submit_cmd = f"sbatch {job_file}" - - else: - # local run: no header needed, but keep script for provenance - header = "#!/bin/bash\nset -euo pipefail\n" - submit_cmd = "" # not used - - env_setup = args.env_setup.strip() - env_block = (env_setup + "\n") if env_setup else "" - - body = f"""{env_block} -{args.python} {job_script_name} \ - --project {args.project} \ - --out-path {args.out_path} \ - --dataset {ds} \ - --biohel-bin {args.biohel_bin} -""" - - write_text(job_file, header + body) - os.chmod(job_file, 0o750) - - if args.hpc == "local": - print(f"[LOCAL] {uid}: {ds}") - # Execute the job script body directly in current environment - rc = os.system(body) - if rc != 0: - print(f"[LOCAL] Job failed (exit code {rc}): {uid}") - else: - print(f"[SUBMIT {args.hpc.upper()}] {uid}: {ds}") - rc = os.system(submit_cmd) - if rc != 0: - print(f"[WARN] Submit command failed (exit code {rc}): {submit_cmd}") - - print("\nDone submitting jobs.") - - -if __name__ == "__main__": - main() diff --git a/evaluation/experiments/comparison_algs_scripts/single_run/biohel_summary.py b/evaluation/experiments/comparison_algs_scripts/single_run/biohel_summary.py deleted file mode 100644 index 1692830..0000000 --- a/evaluation/experiments/comparison_algs_scripts/single_run/biohel_summary.py +++ /dev/null @@ -1,81 +0,0 @@ -#!/usr/bin/env python3 -from __future__ import annotations - -import argparse -from pathlib import Path -from typing import List - -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt - - -def main() -> None: - p = argparse.ArgumentParser(description="Aggregate BioHEL per-dataset outputs into CSV + plots") - p.add_argument("--project", required=True) - p.add_argument("--out-path", required=True) - args = p.parse_args() - - base = Path(args.out_path) / args.project - results_root = base / "results" - figures = base / "figures" - figures.mkdir(parents=True, exist_ok=True) - - # collect per-dataset result_row.csv files - rows: List[pd.DataFrame] = [] - for ds_dir in sorted(results_root.glob("*")): - if not ds_dir.is_dir(): - continue - row_csv = ds_dir / "result_row.csv" - if row_csv.exists(): - rows.append(pd.read_csv(row_csv)) - - if not rows: - raise RuntimeError(f"No result_row.csv files found under: {results_root}") - - results_df = pd.concat(rows, ignore_index=True) - - # outputs/ - out_dir = base / "results_summary" - out_dir.mkdir(parents=True, exist_ok=True) - - results_csv = out_dir / "biohel_results.csv" - results_df.to_csv(results_csv, index=False) - print(f"Saved: {results_csv}") - - # plots - datasets = results_df["Dataset"].tolist() - x = np.arange(len(datasets)) - - # accuracy plot - fig, ax = plt.subplots(figsize=(12, 6)) - acc = results_df["Test Accuracy"].fillna(0).astype(float) * 100.0 - ax.bar(x, acc) - ax.set_xticks(x) - ax.set_xticklabels(datasets, rotation=0) - ax.set_xlabel("Dataset") - ax.set_ylabel("Test Accuracy (%)") - ax.set_title("BioHEL Test Accuracy by Dataset") - ax.set_ylim(0, 110) - plt.tight_layout() - plt.savefig(figures / "biohel_accuracy.png", dpi=300) - plt.close(fig) - - # rules plot - fig, ax = plt.subplots(figsize=(12, 6)) - rules = results_df["Num Rules"].fillna(0).astype(int) - ax.bar(x, rules) - ax.set_xticks(x) - ax.set_xticklabels(datasets, rotation=0) - ax.set_xlabel("Dataset") - ax.set_ylabel("Number of Rules") - ax.set_title("BioHEL Number of Rules by Dataset") - plt.tight_layout() - plt.savefig(figures / "biohel_rules.png", dpi=300) - plt.close(fig) - - print("Done.") - - -if __name__ == "__main__": - main() diff --git a/evaluation/experiments/comparison_algs_scripts/single_run/run_experiments.py b/evaluation/experiments/comparison_algs_scripts/single_run/run_experiments.py deleted file mode 100644 index 46a11ca..0000000 --- a/evaluation/experiments/comparison_algs_scripts/single_run/run_experiments.py +++ /dev/null @@ -1,402 +0,0 @@ -# run_experiments.py -from __future__ import annotations - -import os -import re -import json -import time -import subprocess -from pathlib import Path -from typing import Dict, Any, Tuple, List - -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt - - -# ----------------------------- -# Paths / setup -# ----------------------------- -BASE_DIR = Path.cwd() -DATA_DIR = BASE_DIR / "biohel_data" -DATA_DIR.mkdir(exist_ok=True) - - -# ----------------------------- -# Dataset configs -# ----------------------------- -DATASET_CONFIGS: Dict[str, Dict[str, Any]] = { - "MUX6": { - "train_path": "datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Train_1.txt", - "test_path": "datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "description": "6-bit Multiplexer", - "category": "Multiplexer", - "features": 6, - }, - "MUX11": { - "train_path": "datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Train_1.txt", - "test_path": "datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "description": "11-bit Multiplexer", - "category": "Multiplexer", - "features": 11, - }, - "MUX20": { - "train_path": "datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Train_1.txt", - "test_path": "datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "description": "20-bit Multiplexer", - "category": "Multiplexer", - "features": 20, - }, - "GAM_A": { - "train_path": "datasets/gametes/A_uni_4add_CV_Train_1.txt", - "test_path": "datasets/gametes/A_uni_4add_CV_Test_1.txt", - "excluded_columns": ["Class"], - "description": "GAMETES 4 Additive Univariate", - "category": "GAMETES", - "features": 100, - }, - "GAM_C": { - "train_path": "datasets/gametes/C_2way_epistasis_CV_Train_1.txt", - "test_path": "datasets/gametes/C_2way_epistasis_CV_Test_1.txt", - "excluded_columns": ["Class"], - "description": "GAMETES 2-way Epistasis", - "category": "GAMETES", - "features": 100, - }, - "GAM_E": { - "train_path": "datasets/gametes/E_uni_4het_CV_Train_1.txt", - "test_path": "datasets/gametes/E_uni_4het_CV_Test_1.txt", - "excluded_columns": ["Model", "InstanceID", "Class"], - "description": "GAMETES 4 Heterogeneous Univariate", - "category": "GAMETES", - "features": 100, - }, -} - -DATASETS = list(DATASET_CONFIGS.keys()) - - -# ----------------------------- -# Helpers -# ----------------------------- -def load_dataset(config: Dict[str, Any]) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndarray, List[str], pd.DataFrame, pd.DataFrame]: - train_df = pd.read_csv(config["train_path"], sep="\t") - test_df = pd.read_csv(config["test_path"], sep="\t") - - feature_names = [c for c in train_df.columns if c not in config["excluded_columns"]] - X_train = train_df[feature_names].values - y_train = train_df["Class"].values - X_test = test_df[feature_names].values - y_test = test_df["Class"].values - - row_id = train_df["InstanceID"].values if "InstanceID" in train_df.columns else np.arange(len(train_df)) - return X_train, y_train, X_test, y_test, row_id, feature_names, train_df, test_df - - -def convert_to_arff(df: pd.DataFrame, feature_names: List[str], filename: Path, relation_name: str) -> None: - filename = Path(filename) - with open(filename, "w") as f: - f.write(f"@RELATION {relation_name}\n\n") - - for feat in feature_names: - unique_values = sorted(df[feat].unique()) - value_str = ",".join(map(str, [int(v) for v in unique_values])) - f.write(f"@ATTRIBUTE {feat} {{{value_str}}}\n") - - class_values = sorted(df["Class"].unique()) - class_str = ",".join(map(str, [int(v) for v in class_values])) - f.write(f"@ATTRIBUTE Class {{{class_str}}}\n\n") - - f.write("@DATA\n") - for _, row in df.iterrows(): - values = [str(int(row[feat])) for feat in feature_names] - values.append(str(int(row["Class"]))) - f.write(",".join(values) + "\n") - - -def create_biohel_config(output_path: Path) -> None: - config_content = """crossover operator 1px -default class major -fitness function mdl -initialization min classifiers 20 -initialization max classifiers 20 -iterations 50 -mdl initial tl ratio 0.25 -mdl iteration 10 -mdl weight relax factor 0.90 -pop size 500 -prob crossover 0.6 -prob individual mutation 0.6 -prob one 0.75 -selection algorithm tournamentwor -tournament size 4 -windowing ilas 1 -dump evolution stats -smart init -class wise init -coverage breakpoint 0.01 -repetitions of rule learning 2 -coverage ratio 0.90 -kr hyperrect -num expressed attributes init 15 -hyperrectangle uses list of attributes -prob generalize list 0.10 -prob specialize list 0.10 -expected number of attributes 10 -random seed 42 -""" - output_path = Path(output_path) - with open(output_path, "w") as f: - f.write(config_content) - - -# ----------------------------- -# BioHEL runner (no docker) -# ----------------------------- -class BioHELRunner: - def __init__(self, biohel_path: Path | str, data_dir: Path): - self.biohel_path = str(biohel_path) - self.data_dir = Path(data_dir) - - def _check_executable(self) -> None: - p = Path(self.biohel_path) - if p.exists() and not os.access(str(p), os.X_OK): - raise RuntimeError(f"BioHEL exists but is not executable: {p}") - - def run_biohel(self, dataset_name: str) -> Dict[str, Any] | None: - self._check_executable() - - dataset_dir = self.data_dir / dataset_name - required = ["config.conf", "train.arff", "test.arff"] - for f in required: - if not (dataset_dir / f).exists(): - print(f"Missing {dataset_dir / f}") - return None - - print(f"Running BioHEL on {dataset_name}...") - start_time = time.time() - - cmd = [ - self.biohel_path, - str(dataset_dir / "config.conf"), - str(dataset_dir / "train.arff"), - str(dataset_dir / "test.arff"), - ] - - result = subprocess.run( - cmd, - cwd=str(dataset_dir), - capture_output=True, - text=True, - ) - - elapsed = time.time() - start_time - - (dataset_dir / "biohel_stdout.txt").write_text(result.stdout) - (dataset_dir / "biohel_stderr.txt").write_text(result.stderr) - - if result.returncode != 0: - print(f"BioHEL failed for {dataset_name} (code {result.returncode}).") - print(result.stderr[:2000]) - return None - - return self.parse_output(result.stdout, elapsed) - - def parse_output(self, output: str, wall_time: float) -> Dict[str, Any]: - results: Dict[str, Any] = { - "wall_time": float(wall_time), - "test_accuracy": None, - "train_accuracy": None, - "num_rules": 0, - "runtime": None, - "rules": [], - } - - for line in output.splitlines(): - if "Train accuracy :" in line: - m = re.search(r"Train accuracy\s*:\s*([\d.]+)", line) - if m: - results["train_accuracy"] = float(m.group(1)) - if "Test accuracy :" in line: - m = re.search(r"Test accuracy\s*:\s*([\d.]+)", line) - if m: - results["test_accuracy"] = float(m.group(1)) - if "Total time:" in line: - m = re.search(r"Total time:\s*([\d.]+)", line) - if m: - results["runtime"] = float(m.group(1)) - - in_phenotype = False - for line in output.splitlines(): - if line.startswith("Phenotype:"): - in_phenotype = True - continue - if in_phenotype: - if line.strip() and not line.startswith("Train"): - results["rules"].append(line.strip()) - results["num_rules"] += 1 - else: - break - - return results - - -# ----------------------------- -# Main -# ----------------------------- -def main() -> None: - # Set BioHEL binary location: - BIOHEL_BIN = BASE_DIR / "biohel" # change to absolute path if needed - - biohel_runner = BioHELRunner(BIOHEL_BIN, DATA_DIR) - print(f"Using BioHEL binary: {BIOHEL_BIN}") - - # 1) Prepare datasets (ARFF/config) - for dataset_name, config in DATASET_CONFIGS.items(): - print(f"\nPreparing: {dataset_name}") - - dataset_dir = DATA_DIR / dataset_name - dataset_dir.mkdir(exist_ok=True) - - X_train, y_train, X_test, y_test, row_id, feature_names, train_df, test_df = load_dataset(config) - print(f"Train: {X_train.shape}, Test: {X_test.shape}") - - convert_to_arff(train_df, feature_names, dataset_dir / "train.arff", f"{dataset_name}_Train") - convert_to_arff(test_df, feature_names, dataset_dir / "test.arff", f"{dataset_name}_Test") - create_biohel_config(dataset_dir / "config.conf") - - print("\nDataset preparation done.") - - # 2) Run BioHEL on all datasets - biohel_results: Dict[str, Dict[str, Any]] = {} - for dataset_name in DATASETS: - print(f"\nBioHEL: {dataset_name}") - result = biohel_runner.run_biohel(dataset_name) - if result: - biohel_results[dataset_name] = result - ta = result["test_accuracy"] - nr = result["num_rules"] - rt = result["runtime"] - if ta is not None and rt is not None: - print(f"BioHEL Acc: {ta:.4f}, Rules: {nr}, Time: {rt:.1f}s") - else: - print(f"BioHEL completed; parsed metrics missing. Rules: {nr}") - else: - print("BioHEL failed.") - - print("\nBioHEL done") - - # 3) Build BioHEL-only results dataframe - rows: List[Dict[str, Any]] = [] - for dataset_name, config in DATASET_CONFIGS.items(): - if dataset_name not in biohel_results: - continue - b = biohel_results[dataset_name] - rows.append( - { - "Dataset": dataset_name, - "Category": config["category"], - "Features": config["features"], - "Algorithm": "BioHEL", - "Test Accuracy": b["test_accuracy"], - "Train Accuracy": b["train_accuracy"], - "Num Rules": b["num_rules"], - "Training Time (s)": b["runtime"], - "Wall Time (s)": b["wall_time"], - } - ) - - results_df = pd.DataFrame(rows) - - # 4) Console summary - print("\nBioHEL Results") - print("-" * 90) - print(f"{'Dataset':<10} {'Category':<12} {'Test Acc':<12} {'Train Acc':<12} {'Rules':<10} {'Time(s)':<10}") - print("-" * 90) - - for dataset_name in DATASETS: - config = DATASET_CONFIGS[dataset_name] - sub = results_df[results_df["Dataset"] == dataset_name] - if len(sub) == 0: - print(f"{dataset_name:<10} {config['category']:<12} {'N/A':<12} {'N/A':<12} {'N/A':<10} {'N/A':<10}") - continue - r = sub.iloc[0] - test_acc = f"{float(r['Test Accuracy']):.1%}" if pd.notna(r["Test Accuracy"]) else "N/A" - train_acc = f"{float(r['Train Accuracy']):.1%}" if pd.notna(r["Train Accuracy"]) else "N/A" - rules = int(r["Num Rules"]) if pd.notna(r["Num Rules"]) else "N/A" - tsec = f"{float(r['Training Time (s)']):.1f}" if pd.notna(r["Training Time (s)"]) else "N/A" - print(f"{dataset_name:<10} {config['category']:<12} {test_acc:<12} {train_acc:<12} {rules:<10} {tsec:<10}") - - # 5) Plots (BioHEL only) - plot_dir = DATA_DIR / "comparison_plots" - plot_dir.mkdir(exist_ok=True) - - # Accuracy plot - fig, ax = plt.subplots(figsize=(12, 6)) - x = np.arange(len(DATASETS)) - accs = [] - for d in DATASETS: - sub = results_df[results_df["Dataset"] == d] - accs.append(float(sub["Test Accuracy"].values[0]) * 100 if len(sub) and pd.notna(sub["Test Accuracy"].values[0]) else 0.0) - - ax.bar(x, accs) - ax.set_xlabel("Dataset") - ax.set_ylabel("Test Accuracy (%)") - ax.set_title("BioHEL Test Accuracy by Dataset") - ax.set_xticks(x) - ax.set_xticklabels(DATASETS) - ax.set_ylim(0, 110) - plt.tight_layout() - plt.savefig(plot_dir / "biohel_accuracy.png", dpi=300) - plt.close(fig) - - # Rules plot - fig, ax = plt.subplots(figsize=(12, 6)) - rules_vals = [] - for d in DATASETS: - sub = results_df[results_df["Dataset"] == d] - rules_vals.append(int(sub["Num Rules"].values[0]) if len(sub) else 0) - - ax.bar(x, rules_vals) - ax.set_xlabel("Dataset") - ax.set_ylabel("Number of Rules") - ax.set_title("BioHEL Number of Rules by Dataset") - ax.set_xticks(x) - ax.set_xticklabels(DATASETS) - plt.tight_layout() - plt.savefig(plot_dir / "biohel_rules.png", dpi=300) - plt.close(fig) - - # 6) CSV-only outputs - out_dir = DATA_DIR / "outputs" - out_dir.mkdir(exist_ok=True) - - results_csv = out_dir / "biohel_results.csv" - results_df.to_csv(results_csv, index=False) - print(f"\nSaved: {results_csv}") - - rules_dir = out_dir / "biohel_rules" - rules_dir.mkdir(exist_ok=True) - - for dataset_name, results in biohel_results.items(): - rules = results.get("rules", []) - if rules: - rules_df = pd.DataFrame({"Rule": rules}) - rules_csv = rules_dir / f"{dataset_name}_biohel_rules.csv" - rules_df.to_csv(rules_csv, index=False) - print(f"Saved: {rules_csv}") - - # Optional: reproducibility/debug JSON (remove if you want strictly CSV+plots only) - raw_json = out_dir / "biohel_raw_results.json" - with open(raw_json, "w") as f: - json.dump(biohel_results, f, indent=2) - print(f"Saved: {raw_json}") - - print("\nDone.") - - -if __name__ == "__main__": - main() diff --git a/evaluation/experiments/comparison_algs_scripts/single_run/run_experiments_w_heros.py b/evaluation/experiments/comparison_algs_scripts/single_run/run_experiments_w_heros.py deleted file mode 100644 index 46a11ca..0000000 --- a/evaluation/experiments/comparison_algs_scripts/single_run/run_experiments_w_heros.py +++ /dev/null @@ -1,402 +0,0 @@ -# run_experiments.py -from __future__ import annotations - -import os -import re -import json -import time -import subprocess -from pathlib import Path -from typing import Dict, Any, Tuple, List - -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt - - -# ----------------------------- -# Paths / setup -# ----------------------------- -BASE_DIR = Path.cwd() -DATA_DIR = BASE_DIR / "biohel_data" -DATA_DIR.mkdir(exist_ok=True) - - -# ----------------------------- -# Dataset configs -# ----------------------------- -DATASET_CONFIGS: Dict[str, Dict[str, Any]] = { - "MUX6": { - "train_path": "datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Train_1.txt", - "test_path": "datasets/multiplexer/A_multiplexer_6_bit_500_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "description": "6-bit Multiplexer", - "category": "Multiplexer", - "features": 6, - }, - "MUX11": { - "train_path": "datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Train_1.txt", - "test_path": "datasets/multiplexer/B_multiplexer_11_bit_5000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "description": "11-bit Multiplexer", - "category": "Multiplexer", - "features": 11, - }, - "MUX20": { - "train_path": "datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Train_1.txt", - "test_path": "datasets/multiplexer/C_multiplexer_20_bit_10000_inst_CV_Test_1.txt", - "excluded_columns": ["Group", "InstanceID", "Class"], - "description": "20-bit Multiplexer", - "category": "Multiplexer", - "features": 20, - }, - "GAM_A": { - "train_path": "datasets/gametes/A_uni_4add_CV_Train_1.txt", - "test_path": "datasets/gametes/A_uni_4add_CV_Test_1.txt", - "excluded_columns": ["Class"], - "description": "GAMETES 4 Additive Univariate", - "category": "GAMETES", - "features": 100, - }, - "GAM_C": { - "train_path": "datasets/gametes/C_2way_epistasis_CV_Train_1.txt", - "test_path": "datasets/gametes/C_2way_epistasis_CV_Test_1.txt", - "excluded_columns": ["Class"], - "description": "GAMETES 2-way Epistasis", - "category": "GAMETES", - "features": 100, - }, - "GAM_E": { - "train_path": "datasets/gametes/E_uni_4het_CV_Train_1.txt", - "test_path": "datasets/gametes/E_uni_4het_CV_Test_1.txt", - "excluded_columns": ["Model", "InstanceID", "Class"], - "description": "GAMETES 4 Heterogeneous Univariate", - "category": "GAMETES", - "features": 100, - }, -} - -DATASETS = list(DATASET_CONFIGS.keys()) - - -# ----------------------------- -# Helpers -# ----------------------------- -def load_dataset(config: Dict[str, Any]) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndarray, List[str], pd.DataFrame, pd.DataFrame]: - train_df = pd.read_csv(config["train_path"], sep="\t") - test_df = pd.read_csv(config["test_path"], sep="\t") - - feature_names = [c for c in train_df.columns if c not in config["excluded_columns"]] - X_train = train_df[feature_names].values - y_train = train_df["Class"].values - X_test = test_df[feature_names].values - y_test = test_df["Class"].values - - row_id = train_df["InstanceID"].values if "InstanceID" in train_df.columns else np.arange(len(train_df)) - return X_train, y_train, X_test, y_test, row_id, feature_names, train_df, test_df - - -def convert_to_arff(df: pd.DataFrame, feature_names: List[str], filename: Path, relation_name: str) -> None: - filename = Path(filename) - with open(filename, "w") as f: - f.write(f"@RELATION {relation_name}\n\n") - - for feat in feature_names: - unique_values = sorted(df[feat].unique()) - value_str = ",".join(map(str, [int(v) for v in unique_values])) - f.write(f"@ATTRIBUTE {feat} {{{value_str}}}\n") - - class_values = sorted(df["Class"].unique()) - class_str = ",".join(map(str, [int(v) for v in class_values])) - f.write(f"@ATTRIBUTE Class {{{class_str}}}\n\n") - - f.write("@DATA\n") - for _, row in df.iterrows(): - values = [str(int(row[feat])) for feat in feature_names] - values.append(str(int(row["Class"]))) - f.write(",".join(values) + "\n") - - -def create_biohel_config(output_path: Path) -> None: - config_content = """crossover operator 1px -default class major -fitness function mdl -initialization min classifiers 20 -initialization max classifiers 20 -iterations 50 -mdl initial tl ratio 0.25 -mdl iteration 10 -mdl weight relax factor 0.90 -pop size 500 -prob crossover 0.6 -prob individual mutation 0.6 -prob one 0.75 -selection algorithm tournamentwor -tournament size 4 -windowing ilas 1 -dump evolution stats -smart init -class wise init -coverage breakpoint 0.01 -repetitions of rule learning 2 -coverage ratio 0.90 -kr hyperrect -num expressed attributes init 15 -hyperrectangle uses list of attributes -prob generalize list 0.10 -prob specialize list 0.10 -expected number of attributes 10 -random seed 42 -""" - output_path = Path(output_path) - with open(output_path, "w") as f: - f.write(config_content) - - -# ----------------------------- -# BioHEL runner (no docker) -# ----------------------------- -class BioHELRunner: - def __init__(self, biohel_path: Path | str, data_dir: Path): - self.biohel_path = str(biohel_path) - self.data_dir = Path(data_dir) - - def _check_executable(self) -> None: - p = Path(self.biohel_path) - if p.exists() and not os.access(str(p), os.X_OK): - raise RuntimeError(f"BioHEL exists but is not executable: {p}") - - def run_biohel(self, dataset_name: str) -> Dict[str, Any] | None: - self._check_executable() - - dataset_dir = self.data_dir / dataset_name - required = ["config.conf", "train.arff", "test.arff"] - for f in required: - if not (dataset_dir / f).exists(): - print(f"Missing {dataset_dir / f}") - return None - - print(f"Running BioHEL on {dataset_name}...") - start_time = time.time() - - cmd = [ - self.biohel_path, - str(dataset_dir / "config.conf"), - str(dataset_dir / "train.arff"), - str(dataset_dir / "test.arff"), - ] - - result = subprocess.run( - cmd, - cwd=str(dataset_dir), - capture_output=True, - text=True, - ) - - elapsed = time.time() - start_time - - (dataset_dir / "biohel_stdout.txt").write_text(result.stdout) - (dataset_dir / "biohel_stderr.txt").write_text(result.stderr) - - if result.returncode != 0: - print(f"BioHEL failed for {dataset_name} (code {result.returncode}).") - print(result.stderr[:2000]) - return None - - return self.parse_output(result.stdout, elapsed) - - def parse_output(self, output: str, wall_time: float) -> Dict[str, Any]: - results: Dict[str, Any] = { - "wall_time": float(wall_time), - "test_accuracy": None, - "train_accuracy": None, - "num_rules": 0, - "runtime": None, - "rules": [], - } - - for line in output.splitlines(): - if "Train accuracy :" in line: - m = re.search(r"Train accuracy\s*:\s*([\d.]+)", line) - if m: - results["train_accuracy"] = float(m.group(1)) - if "Test accuracy :" in line: - m = re.search(r"Test accuracy\s*:\s*([\d.]+)", line) - if m: - results["test_accuracy"] = float(m.group(1)) - if "Total time:" in line: - m = re.search(r"Total time:\s*([\d.]+)", line) - if m: - results["runtime"] = float(m.group(1)) - - in_phenotype = False - for line in output.splitlines(): - if line.startswith("Phenotype:"): - in_phenotype = True - continue - if in_phenotype: - if line.strip() and not line.startswith("Train"): - results["rules"].append(line.strip()) - results["num_rules"] += 1 - else: - break - - return results - - -# ----------------------------- -# Main -# ----------------------------- -def main() -> None: - # Set BioHEL binary location: - BIOHEL_BIN = BASE_DIR / "biohel" # change to absolute path if needed - - biohel_runner = BioHELRunner(BIOHEL_BIN, DATA_DIR) - print(f"Using BioHEL binary: {BIOHEL_BIN}") - - # 1) Prepare datasets (ARFF/config) - for dataset_name, config in DATASET_CONFIGS.items(): - print(f"\nPreparing: {dataset_name}") - - dataset_dir = DATA_DIR / dataset_name - dataset_dir.mkdir(exist_ok=True) - - X_train, y_train, X_test, y_test, row_id, feature_names, train_df, test_df = load_dataset(config) - print(f"Train: {X_train.shape}, Test: {X_test.shape}") - - convert_to_arff(train_df, feature_names, dataset_dir / "train.arff", f"{dataset_name}_Train") - convert_to_arff(test_df, feature_names, dataset_dir / "test.arff", f"{dataset_name}_Test") - create_biohel_config(dataset_dir / "config.conf") - - print("\nDataset preparation done.") - - # 2) Run BioHEL on all datasets - biohel_results: Dict[str, Dict[str, Any]] = {} - for dataset_name in DATASETS: - print(f"\nBioHEL: {dataset_name}") - result = biohel_runner.run_biohel(dataset_name) - if result: - biohel_results[dataset_name] = result - ta = result["test_accuracy"] - nr = result["num_rules"] - rt = result["runtime"] - if ta is not None and rt is not None: - print(f"BioHEL Acc: {ta:.4f}, Rules: {nr}, Time: {rt:.1f}s") - else: - print(f"BioHEL completed; parsed metrics missing. Rules: {nr}") - else: - print("BioHEL failed.") - - print("\nBioHEL done") - - # 3) Build BioHEL-only results dataframe - rows: List[Dict[str, Any]] = [] - for dataset_name, config in DATASET_CONFIGS.items(): - if dataset_name not in biohel_results: - continue - b = biohel_results[dataset_name] - rows.append( - { - "Dataset": dataset_name, - "Category": config["category"], - "Features": config["features"], - "Algorithm": "BioHEL", - "Test Accuracy": b["test_accuracy"], - "Train Accuracy": b["train_accuracy"], - "Num Rules": b["num_rules"], - "Training Time (s)": b["runtime"], - "Wall Time (s)": b["wall_time"], - } - ) - - results_df = pd.DataFrame(rows) - - # 4) Console summary - print("\nBioHEL Results") - print("-" * 90) - print(f"{'Dataset':<10} {'Category':<12} {'Test Acc':<12} {'Train Acc':<12} {'Rules':<10} {'Time(s)':<10}") - print("-" * 90) - - for dataset_name in DATASETS: - config = DATASET_CONFIGS[dataset_name] - sub = results_df[results_df["Dataset"] == dataset_name] - if len(sub) == 0: - print(f"{dataset_name:<10} {config['category']:<12} {'N/A':<12} {'N/A':<12} {'N/A':<10} {'N/A':<10}") - continue - r = sub.iloc[0] - test_acc = f"{float(r['Test Accuracy']):.1%}" if pd.notna(r["Test Accuracy"]) else "N/A" - train_acc = f"{float(r['Train Accuracy']):.1%}" if pd.notna(r["Train Accuracy"]) else "N/A" - rules = int(r["Num Rules"]) if pd.notna(r["Num Rules"]) else "N/A" - tsec = f"{float(r['Training Time (s)']):.1f}" if pd.notna(r["Training Time (s)"]) else "N/A" - print(f"{dataset_name:<10} {config['category']:<12} {test_acc:<12} {train_acc:<12} {rules:<10} {tsec:<10}") - - # 5) Plots (BioHEL only) - plot_dir = DATA_DIR / "comparison_plots" - plot_dir.mkdir(exist_ok=True) - - # Accuracy plot - fig, ax = plt.subplots(figsize=(12, 6)) - x = np.arange(len(DATASETS)) - accs = [] - for d in DATASETS: - sub = results_df[results_df["Dataset"] == d] - accs.append(float(sub["Test Accuracy"].values[0]) * 100 if len(sub) and pd.notna(sub["Test Accuracy"].values[0]) else 0.0) - - ax.bar(x, accs) - ax.set_xlabel("Dataset") - ax.set_ylabel("Test Accuracy (%)") - ax.set_title("BioHEL Test Accuracy by Dataset") - ax.set_xticks(x) - ax.set_xticklabels(DATASETS) - ax.set_ylim(0, 110) - plt.tight_layout() - plt.savefig(plot_dir / "biohel_accuracy.png", dpi=300) - plt.close(fig) - - # Rules plot - fig, ax = plt.subplots(figsize=(12, 6)) - rules_vals = [] - for d in DATASETS: - sub = results_df[results_df["Dataset"] == d] - rules_vals.append(int(sub["Num Rules"].values[0]) if len(sub) else 0) - - ax.bar(x, rules_vals) - ax.set_xlabel("Dataset") - ax.set_ylabel("Number of Rules") - ax.set_title("BioHEL Number of Rules by Dataset") - ax.set_xticks(x) - ax.set_xticklabels(DATASETS) - plt.tight_layout() - plt.savefig(plot_dir / "biohel_rules.png", dpi=300) - plt.close(fig) - - # 6) CSV-only outputs - out_dir = DATA_DIR / "outputs" - out_dir.mkdir(exist_ok=True) - - results_csv = out_dir / "biohel_results.csv" - results_df.to_csv(results_csv, index=False) - print(f"\nSaved: {results_csv}") - - rules_dir = out_dir / "biohel_rules" - rules_dir.mkdir(exist_ok=True) - - for dataset_name, results in biohel_results.items(): - rules = results.get("rules", []) - if rules: - rules_df = pd.DataFrame({"Rule": rules}) - rules_csv = rules_dir / f"{dataset_name}_biohel_rules.csv" - rules_df.to_csv(rules_csv, index=False) - print(f"Saved: {rules_csv}") - - # Optional: reproducibility/debug JSON (remove if you want strictly CSV+plots only) - raw_json = out_dir / "biohel_raw_results.json" - with open(raw_json, "w") as f: - json.dump(biohel_results, f, indent=2) - print(f"Saved: {raw_json}") - - print("\nDone.") - - -if __name__ == "__main__": - main()