Ask the Scholar

{
    "localId": "639715",
    "label": "Greensboro - High Point, NC, 1960",
    "core": "doc",
    "dtoType": "document",
    "citationUrl": "https://catalog.archives.gov/id/639715"
}

{
    "id": "639715",
    "sourceUrl": "https://catalog.archives.gov/id/639715",
    "contentType": "document",
    "title": "Greensboro - High Point, NC, 1960",
    "citationUrl": "https://catalog.archives.gov/id/639715",
    "collections": [
        "Records of the Community and Family Study Center, University of Chicago",
        "Census Tract Data Files"
    ],
    "iiifBase": "https://s3.amazonaws.com/NARAprodstorage/lz/electronic-records/CFS/Bogue/CTD.EMB60.GREENSB.TXT",
    "thumbnailUrl": "https://s3.amazonaws.com/NARAprodstorage/lz/electronic-records/CFS/Bogue/CTD.EMB60.GREENSB.TXT",
    "largeImageUrl": "https://s3.amazonaws.com/NARAprodstorage/lz/electronic-records/CFS/Bogue/CTD.EMB60.GREENSB.TXT",
    "imageCount": 3,
    "hasImages": true,
    "source": "import",
    "hasTranscription": false
}

{
    "url": "https://catalog.archives.gov/id/639715",
    "naId": 639715,
    "levelOfDescription": "fileUnit",
    "recordType": "description",
    "ocrSource": "nara-archive"
}

{
    "seq": 2,
    "pageIndex": 0,
    "type": "document",
    "url": "https://s3.amazonaws.com/NARAprodstorage/lz/electronic-records/CFS/Bogue/295.3DP.pdf",
    "mediaId": "5e6134ea4d7a769e",
    "ocrText": "NATIONAL\nARCHIVES\nFile Format Conversion\nCensus Tract Data, 1940 - 1970: Elizabeth Mullen Bogue Files\nNN3-CFS-99-001\nRecords of the Community and Family Study Center, University of Chicago (Collection CFS)\nThe Census Tract Data files contain records of two different lengths. The city/metro area records\nare longer than the tract level record. The files are preserved in the EBCDIC character set with\nvariable-length records, including an eight character EBCDIC record/block counter at the\nbeginning of each block/record.\nNARA converted the files to a more contemporary format as part of making the records available\nonline. Specifically, NARA converted the files to the ASCII character set and replaced the\nEBCDIC record/block counter with carriage return-line feed (CRFL) characters. With the\nreplacement of the EBCDIC record/block counter, the length of each record is decreased by eight\ncharacters and each record now includes a record-delimiter. NARA also padded the records to\nthe longest record length to create fixed-length records.\nIf the layout accounted for the counters, then the actual record length and field positions are eight\ncharacters less than what is indicated in the layout. This means researchers may need to adjust\nthe field positions in the layout when using the data.\nThe fields in the city/metro area and the tract level records do not necessarily align. Researches\nwill have to define the fields for the city/metro area records separately from the tract level\nrecords.\n1940 and 1950 files\nThe NARA prepared layouts for the city/metro area and the tract level records include the eight\ncharacter counter. To use with the converted files, researchers will need to adjust the field\npositions by a decrease of eight characters.\nFor the city/metro area records, after the \"file/record title\" (now columns 1 - 60) and \"number of\ntracts\" (now columns 61 - 66) fields, the remaining fields are each eight characters in length.\nFor the tract level records, after the \"tract id\" (now columns 1 - 8) and \"tract sequence number\"\n(now columns 9 - 13) fields, the remaining fields are each five characters in length.\nNATIONAL ARCHIVES and\nRECORDS ADMINISTRATION\n8601 ADELPHI ROAD\nCOLLEGE PARK, MD 20740-6001\nwww.archives.gov\nThe 1940 records are padded out to column 3306, plus the carriage return-line feed for a record\nlength of 3308 characters.\nThe 1950 records are padded out to column 2058, plus the carriage return-line feed for a record\nlength of 2060 characters.\n1960 files\nThe NARA prepared layout for the SMSA/Central City includes the eight character counter. To\nuse with the converted files, researchers will need to adjust the field positions by a decrease of\neight characters.\nFor the SMSA/Central City records, after the \"serial code\" (now columns 1 - 6) and \"blank\"\n(now columns 7 - 100) fields, the remaining fields are each eight characters in length.\nThe layout for the tract level records does not include the counters. No change is needed to those\nfield positions.\nThe 1960 records are padded out to column 3620, plus the carriage return-line feed for a record\nlength of 3622 characters.\n1970 files\nThe layouts for the city/metro and tract level records do not include counters so no adjustment to\nthe field positions is necessary.\nFor the city/metro area records, after the \"SMSA No.,\" \"SMSA name,\" and \"number of central\ncities,\" the next 15 fields are 12 characters in length and the remaining 1153 fields are eight\ncharacters in length.\nFor the tract level records, after the first twelve fields (fields \"SMSA No.\" through \"tract housing\ncount\"), the next 15 fields are eight characters in length and the remaining 1153 fields are six\ncharacters in length.\nThe 1970 records are padded out to column 9439, plus the carriage return-line feed for a record\nlength of 9441 characters.\nElectronic Records Division\nJuly 11, 2017\nNATIONAL\nARCHIVES\nSupplemental User Note\nCensus Tract Data, 1940 - 1970: Elizabeth Mullen Bogue Files\nNN3-CFS-99-001\nRecords of the Community and Family\nStudy Center, University of Chicago (Collection CFS)\nAs indicated in the introduction to the documentation for the 1940, 1950, and 1960 Census Tract\nData, NARA prepared layouts based on the documentation provided by the donor and from some\nof the \"Census Tract Statistics\" publications. However, given how the donors prepared the data\nfiles and the complexity in compiling the record layouts, there may be discrepancies between the\nNARA-prepared layouts and the data.\nIn particular, staff have discovered that for some tracted cities in 1940, 1950, and 1960, the tract\nID includes an alphabetic prefix. For example, there is an alphabetic prefix for the tract ID in the\nSan Diego 1950 and 1960 files and in the San Francisco(-Oakland) 1940 and 1960 files. The\nNARA-prepared layouts for the 1940 and 1950 tract level data does not indicate a separate field\nfor the tract ID alphabetic prefix. The alphabetic prefix appears to be in the left-most position in\nthe tract ID field. The donor-prepared layout for the 1960 tract level includes a field for the\nalphabetic prefix.\nLynn Goodsell, Archivist\nArchival Operations - Washington, D.C. (RD-DC), Electronic Records Section\nMarch 21, 2012\nNATIONAL ARCHIVES and\nRECORDS ADMINISTRATION\n8601 ADELPHI ROAD\nReproduced\nwww.archives.gov\nAND\nNATIONAL ARCHIVES RECORDS\nNational Archives and Records Administration\n8601 Adelphi Road\n1985\nCollege Park, Maryland 20740-6001\nSupplementary User Note 2\nCensus Tract Data Files, 1940-1970\n(Elizabeth Mullen Bogue Files)\nNN3-CFS-99-001\nRecords of the Community and Family Study Center, University of Chicago\n(Collection CFS)\nA researcher reported that there are some data errors in the Los Angeles - Long Beach, CA 1960\nFile. Specifically, in some of the tracts the data is duplicative. Users may wish to consult the printed\nsources to verify the data in those tracts.\nLynn Goodsell, Archives Specialist\nElectronic and Special Media Records Services Division (NWME)\nAugust 10, 2007\nReproduced at the National Archives NARA's web site is http://www.archives.gov\nARCHIVES RECORDS\nAND\nNational Archives and Records Administration\nNATURE 1985\n8601 Adelphi Road\nCollege Park, Maryland 20740-6001\nDate\n: March 27, 2000\nReply to\nAttn\nof : NWME (Hull)\nSubject : User Note: Record Length/Block Counters\nTo\n: File\nThe Census Tract Data, 1940-1970: Elizabeth Mullen Bogue Files were transferred to NARA\nin EBCDIC format with variable length records. The NARA prepared record layouts for the\n1940-1960 files account for an 8-byte record length/block size counter. However, the record\nlayout assumes that the files are blocked one record per block. For the 1960 files, the files\nare blocked (as preserved) with five records per block. For the second and subsequent\nrecords in any block there is only a 4-byte counter at the start of each record, not an 8-byte\ncounter. So the 1960 record layout is inaccurate in this way.\nSincerely,\nTHEODORE Theddore J. HUL I Hull\nArchivist\nCenter for Electronic Records\nNARA's web site is http://www.nara.gov\nReproduced at the National Archives\nNational\nAND\nARCHITAS\nRECORDS\nArchives at College Park\nNATIONAL\nADMINISTRATION\n8601 Adelphi Road College Park, Maryland 20740-6001\n1985\nCensus Tract Data, 1940-1970:\nElizabeth Mullen Bogue File\nDonated Historical Materials of\nThe Community and Family Study Center, University of Chicago\n(Record Group CFS)\nDocumentation Contents:\n# Pages\nOverview Materials/Documentation Applicable\nto all years\nNARA Prepared City Cross-Reference Table\n5\nDonor Provided Appendices\nAppendix 1: CFSC Census Tract Tape Data\nCorrespondence\n5\nAppendix 2: Not included with donor provided\nmaterials\nCensus Tract Data 1940: Main Documentation\n62\nCensus Tract Data 1950: Main Documentation\n44\nCensus Tract Data 1960: Main Documentation\n79\nCensus Tract Data 1970: Main Documentation\n133\nNN3-CFS-96-999\nMay 28, 1999\nReference Copy at the National Archives\nNational Archives and Records Administration\n1940\n1950\n1960\n1970\nABILENE, TEX\nX\nX\nAKRON, OH\nX\nX\nX\nX\nALBANY, GA\nX\nALBANY-SCHENECTADY-TROY, NY\nX\nALBEQUERQUE, NM\nX\nX\nALLENTOWN-BETHLEHEM-EASTON, PA-NJ\nX\nX\nALTOONA, PA\nX\nX\nAMARILLO, TX\nX\nANDERSON, IND\nX\nANN ARBOR, MICH\nX\nX\nAPPLETON-OSHKOSH, WIS\nX\nASHVILLE, NC\nX\nATLANTA, GA\nX\nX\nX\nX\nATLANTIC CITY, NJ\nX\nX\nX\nAUGUSTA, GA\nX\nX\nX\nAUSTIN, TX\nX\nX\nX\nX\nBAKERSFIELD, CA\nX\nBALTIMORE, MD\nX\nX\nX\nX\nBATON ROUGE, LA\nX\nX\nBAY CITY, MICH\nX\nBEAUMONT, TX\nX\nX\nBERKELEY, CA\nX\nBILLINGS, MONT\nX\nBILOXI-GULFPORT, MISS\nX\nBINGHAMTON, NY\nX\nBIRMINGHAM, AL\nX\nX\nX\nBLOOMINGTON-NORMAL, ILL\nX\nBOISE CITY, IDAHO\nX\nBOSTON, MASS\nX\nX\nX\nBRIDGEPORT, CT\nX\nX\nX\nBRISTOL, CT\nX\nBROCKTON, MA\nX\nX\nBROWNSVILLE-HARLINGEN-SAN BENITO, TX\nX\nBRYAN-COLLEGE STATION, TX\nX\nBUFFALO, NY\nX\nX\nX\nX\nCAMBRIDGE, MA\nX\nCAMDEN, NJ\nX\nCANTON, OH\nX\nX\nCEDAR RAPIDS, IOWA\nX\nCHAMPAIGN-URBANA, ILL\nX\nCHARLESTON, SC\nX\nX\nCHARLESTON, WV\nX\nCHARLOTTE, NC\nX\nX\nCHATTANOOGA, TENN-GA\nX\nX\nX\nCHICAGO, ILL\nX\nX\nX\nCINCINNATI, OH-KY\nX\nX\nX\nCLEVELAND, OH\nX\nX\nX\nX\nCOLORADO SPRINGS, CO\nX\nX\nCOLUMBIA, MO\nX\nReference Copy at the National Archives\nCOLUMBIA, SC\nX\nX\nCOLUMBUS, GA\nX\nCOLUMBUS, OH\nX\nX\nX\nX\nCORPUS CHRISTI, TX\nX\nX\nDALLAS, TX\nX\nX\nX\nX\nDANBURY, CT\nX\nDAVENPORT, IOWA\nX\nDAYTON, OH\nX\nX\nX\nX\nDECATUR, ILL\nX\nX\nDENVER, CO\nX\nX\nX\nX\nDES MOINES, IA\nX\nX\nX\nDETROIT, MICH\nX\nX\nX\nDULUTH-SUPERIOR, MINN-WIS\nX\nX\nX\nX\nDURHAM, NC\nX\nX\nX\nELIZABETH, NJ\nX\nEL PASO, TX\nX\nX\nERIE, PA\nX\nX\nEUGENE, OR\nX\nEVANSVILLE, IND-KY\nX\nX\nFALL RIVER, MA-RI\nX\nFAYETTEVILLE, NC\nX\nFITCHBURG-LEOMINSTER, MA\nX\nFLINT, MICH\nX\nX\nX\nX\nFRESNO, CA\nX\nFT. LAUDERDALE-HOLLYWOOD, FL\nX\nFT. SMITH, ARK\nX\nX\nFT. WAYNE, IND\nX\nX\nFT. WORTH, TX\nX\nX\nGADSDEN, AL\nX\nGAINESVILLE, FL\nX\nGALVESTON-TEXAS CITY, TX\nX\nX\nGARY, IND\nX\nGRAND RAPIDS, MICH\nX\nX\nGREAT FALLS, MONT\nX\nGREEN BAY, WIS\nX\nX\nGREENSBORO-HIGH POINT, NC\nX\nX\nX\nGREENVILLE, SC\nX\nX\nHAMILTON-MIDDLETOWN, OH\nX\nX\nHARRISBURG, PA\nX\nX\nHARTFORD, CT\nX\nX\nX\nX\nHONOLULU, HI\nX\nX\nHOUSTON, TX\nX\nX\nX\nX\nINDIANAPOLIS, IND\nX\nX\nX\nX\nJACKSONVILLE, FL\nX\nX\nJACKSON, MI\nX\nX\nJACKSON, MS\nX\nJERSEY CITY, NJ\nX\nX\nJOHNSTOWN, PA\nX\nX\nKALAMAZOO, MICH\nX\nX\nX\nKANSAS CITY, KS-MO\nX\nX\nX\nX\nReference Copy at the National Archives\nKENOSHA, WIS\nKNOXVILLE, TENN\nX\nLA CROSSE, WI\nLAFAYETTE, IN\nLAFAYETTE, LA\nLAKE CHARLES, LA\nLANCASTER, PA\nX\nLANSING, MICH\nX\nLAREDO, TX\nX\nLAS VEGAS, NEV\nX\nLAWRENCE, MASS HAVERHILL, NH\nX\nLAWTON, OKLA\nLEWISTON-AUBURN, MAINE\nLEXINGTON, KY\nX X X X X X X X X X X X X X X X X\nX\nLIMA, OH\nX\nLINCOLN, NEBR\nX\nLITTLE ROCK, ARK\nX\nLONG BEACH, CA\nX\nLORAIN-ELYRIA, OH\nX\nLOS ANGELES-LONG BEACH, CA\nX\nX\nLOUISVILLE, KY-IND\nX\nX\nX\nLOWELL, MA\nX\nX\nLUBBOCK, TX\nX\nX\nLYNCHBURG, VA\nX\nMACON, GA\nX\nX\nX\nMADISON, WIS\nX\nX\nMANCHESTER, NH\nX\nX\nMANSFIELD, OH\nX\nMEMPHIS, TENN\nX\nX\nX\nX\nMERIDIEN, CT\nX\nMIAMI, FL\nX\nX\nMIDLAND, TX\nX\nMILWAUKEE, WI\nX\nX\nX\nX\nMINNEAPOLIS-ST. PAUL, MINN\nX\nX\nMOBILE, AL\nX\nMONROE, LA\nX\nX\nMONTGOMERY, AL\nX\nMUNCIE, IND\nX\nX\nMUSKEGON, MICH\nX\nX\nNASHUA, NH\nX\nNASHVILLE, TN\nX\nX\nX\nX\nNEW BEDFORD, MA\nX\nNEW BRITAIN, CT\nX\nX\nNEW HAVEN, CT\nX\nX\nX\nNEW ORLEANS, LA\nX\nX\nX\nX\nNEW YORK, NY\nX\nX\nNEWARK, NJ\nX\nX\nNEWPORT NEWS-HAMPTON, VA\nX\nX\nNORFOLK-PORTSMOUTH VA\nX\nX\nNORWALK, CT\nX\nReference at the National Archives\nODESSA, TX\nX\nX\nOGDEN, UTAH\nX\nX\nOAKLAND, CA\nX\nOKLAHOMA CITY, OK\nX\nX\nX\nOMAHA, NEBR\nX\nX\nORLANDO, FL\nX\nX\nPATERSON-CLIFTON-PASSAIC, NJ\nX\nX\nX\nPENSACOLA, FL\nX\nPEORIA, ILL\nX\nX\nPETERSBURG-COLONIAL HGTS, VA\nX\nPHILADELPHIA, PA\nX\nX\nX\nPHOENIX, AZ\nX\nX\nPINEBLUFF, AR\nX\nPITTSBURGH, PA\nX\nX\nX\nX\nPITTSFIELD, MA\nX\nX\nPORTLAND, ME\nX\nX\nPORTLAND, OR-WA\nX\nX\nX\nX\nPROVIDENCE, RI PAWTUCKET, MA\nX\nX\nX\nX\nPROVO-OREM, UTAH\nX\nPUEBLO, CO\nX\nX\nRACINE, WIS\nX\nRALEIGH, NC\nX\nX\nREADING, PA\nX\nX\nRENO, NEV\nX\nRICHMOND, VA\nX\nX\nX\nX\nROANOKE, VA\nX\nROCHESTER, MN\nX\nROCHESTER, NY\nX\nX\nX\nX\nROCKFORD, ILL\nX\nX\nSACRAMENTO, CA\nX\nX\nSAGINAW, MICH\nX\nX\nST. JOSEPH, MO\nX\nST. LOUIS, MO-ILL\nX\nX\nX\nX\nST. PAUL, MN\nX\nSALEM, OR\nX\nSALT LAKE CITY, UTAH\nX\nX\nSAN ANGELO TX\nX\nX\nSAN ANTONIO, TX\nX\nX\nSAN BERNARDINO-RIVERSIDE-ONTARIO CA\nX\nSAN DIEGO, CA\nX\nX\nSAN FRANCISCO, CA\nX\nX\nSAN JOSE, CA\nX\nX\nSANTA BARBARA, CA\nX\nSAVANNAH, GA\nX\nX\nX\nSCRANTON, PA\nX\nX\nSEATTLE, WA\nX\nX\nX\nSHERMAN-DENISON, TX\nX\nSHREVEPORT, LA\nX\nX\nSIOUX CITY, IA\nX\nX\nSIOUX FALLS, SD\nX\nReference Copy at the National Archives\nSOUTH BEND, IND\nX\nSPOKANE, WASH\nX\nX\nSPRINGFIELD, ILL\nX\nSPRINGFIELD, MO\nX\nSPRINGFIELD-CHICOPEE-HOLYYOKE, MA\nX\nSPRINGFIELD, OH\nX\nSTAMFORD, CT\nSTEUBENVILLE, WEIRTON-OHIO-W. VA\nSTOCKTON, CA\nSYRACUSE, NY\nX\nX\nTACOMA, WASH\nX\nTALLAHASSEE, FL\nTAMPA-ST. PETERSBURG, FL\nTERRE HAUTE, IND\nTEXARKANA, TX-ARK\nTOLEDO, OH\nX\nX\nTOPEKA, KS\nTRENTON, NJ\nX\nX\nTUCSON, AZ\nTULSA, OK\nTYLER, TX\nUTICA-ROME, NY\nX\nWACO, TX\nX X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X\nX X X X X X X X X X X X X X X\nWASHINGTON, DC-MD-VA\nX\nX\nWATERBURY, CT\nWATERLOO, IOWA\nWEST PALM BEACH, FL\nX\nWESTCHESTER CO, NY\nX\nWHEELING, W. VA-OH\nWICHITA FALL, TX\nWICHITA, KS\nX\nX\nWILKES-BARRE-HAZLETON, PA\nX\nWILMINGTON, DEL-NJ\nX\nWILMINGTON, NC\nX\nWINSTON-SALEM, MA\nWORCHESTER, MA\nX\nYONKERS, NY\nX\nYORK, PA\nX\nYOUNGSTOWN-WARREN, OH\nX\nReference Copy at the National Archives\nAPPENDICES\nAppendix 1\nCFSC Census tract tape data correspondence\nAppendix 2\nTable 1 - Selected Census Tract informatio for\nNine Chicago Census Tracts\nTable 2 - Illustrative Regression results for\nChicago Census Tracts\nReference Copy at the National Archives\nAppendix 1\nCFSC DATA CORRESPONDENCE\nCensuses of 1940, 1950, 1960, 1970\nThe following data is compatable for all of 1940, 1950, 1960, 1970\nPopulation\nTotal population\ntotal white\ntotal negro\ntotal male\ntotal female\n5 yr. age groups by male, female 0-75+ for totals\n5 yr. age groups by male, female 0-75+ for whites\n(1940 must add native and foreign born whites)\nCountry of bith of foreign born whites:\nUnited Kingdom\nIreland\nNorway\nSweden\nGermany\nPoland\nCzechoslovakia\nAustria\nHungary\nU.S.S.R.\nItaly\nCanada\nMexico\n\"Other\"\nSchooling\nPopulation 25+\nNo sol.œl years completed\nElementary 1-4\nElementary 5,6,7,8 (not strictly comparable)\nHigh school 1-3\nHigh school 4\nCollege 1-3\nCollege 4+\nNot reported (1940,1950)\nn.b. median school years is given for 1940, 1950;\nmust be computed for 1960, 1970,\nReference Copy #8d at the National Archives\n-2-\nLabor Force\nMales, females aged 14+\n(14-15 separate from 16+ in 1970)\nIn labor force\nArmed forces\nEmployed civilian labor force\nUnemployed (seeking work)\nClass of Worker\nWage and salary\nUnpaid family worker\nNot reported (?)\nOccupation by male, female\nProfessional, technical, kindred\nManagers, officials, proprietors\nClerical and kindred\nSales (not available for 1940)\nOperatives\nPrivate household workers\nService\nLaborers\n(question of consistent definition 1940-1970)\nfarm laborers 1960, 1970\nHousing\nOccupancy status\nAll Dwelling units\nTotal occupied\nTotal owner occupied\nWhite owner occupied\nNegro owner occupied\nOther non-white owner occupied\nTotal rental occupied\nWhite tenant occupied\nNegro tenant occupied\nOther non-white \"enant occupied\nVacant\ncatagory includes 1940 - Vacant for sale or rent; not for sale or rent\n1950 - Vacant non-seasonal; vacant seasonal\n1960 - Available vacant; other vacant\n1970 - Vacant seasonal; for sale, for rent, other\nType of Unit\n(not available for 1960 tape, but see arrays 2093-2098)\n1-unit detached\n1-unit attached\n2 units\n(n.b. allocation problem 1950)\n3-4 units\n5+ units\nReference at the National Archives\n-3-\nNumber of persons per dwelling unit\n1\nnote: 1940, 1960 - # persons per household\n2\n1950, 1970 - # persons per dwelling unit\n3\n4\n5,6\n7+\nNumber of dwelling units with 1.01 persons per room or more\nValue of Home\n1940\n1950\n1960\n1970\n500-\n3000-\n5000-\n5000-\n500-699\n3000-3999\n5000-7499\n5000-7499\n700-999\n4000-4999\n7500-9999\n7500-9999\n1000-1999\n5000-7499\n10000-12499\n10000-12499\n2000-2499\n7500-9999\n12500-14999\n12500-14999\n2500-2999\n10000-14999\n15000-17499\n15000-17499\n3000-3999\n15000+\n15500-19999\n17500-19999\n5000-5999\n20000-24999\n20000-24999\n6000-7499\n(median)\n25000-34999\n25000-34999\n7500-9999\n35000+\n35000-49999\n10000-14999\n50000+\n15000-19999\n20000+\n(median)\nMonthly Contract Rent*\n*Similar ca'agorization of values for 1940-1970\n(Gross monthly rent also available)\nCondition of Housing\nNeeding minor repairs\nLacking some or all plumbing facilities\nCentral heating\nRadio, TV\nn.b. other housing ondition data is not consistent over the four\ncensuses due to varying definitions of substandard by the Census Bureau\nReference Copy#10 at the National Archives\n,\n-4-\nThe following data is comparable for 1950, 1960, 1970 only\nIncome\n(size catagories)\nMarital status\nYear structure built\n(by age catagories)\nGeographical mobility\n1 yr rales 1950\n5 yr rates 1960\n5 yr rates 1970\nThe following da'a is comparable for 1960 and 1970 only\nLatitude and longi'ude\nHousehold relationship\nSchool enrollment\nIndustry in which employed\nMeans of transport ation to work\nPlace of work\nAutos\nWaler and sewerage\nNumber of s'ories\nReference Copy at the National Archives\nNational\nArchives at College Park\nRECORDS AND ARCHITES ADMINISTRATION NATION\n8601 Adelphi Road College Park, Maryland 20740-6001\n1985\nCensus Tract Data, 1960:\nElizabeth Mullen Bogue File\nDonated Historical Materials of\nThe Community and Family Study Center, University of Chicago\n(Record Group CFS)\nDocumentation Contents:\n# Pages\nIntroduction\n2\nNARA Prepared List of 1960 Files\n3\nNARA Prepared Record Layout - - SMSA and Central City\n11\nNARA Prepared User Note re: Tract Layout\n1\nDonor Supplied Record Layout for Tract Level Data\n14\n`U.S. Census of Population: 1960.\nCensus Tracts. Final Report PHC (1) - 11 [Austin Texas]\n48\nSample Printout of First File in Series\n4\nNN3-CFS-96-999\nMay 5, 1999\n1\nReproduced at the National Archives\nNational Archives and Records Administration\nRECORDS AND ARCHITES ADMINISTRATION TYNOLIN\nNational Archives and Records Administration\n8601 Adelphi Road\n1985\nCollege Park, Maryland 20740-6001\nTheodore J. Hull\nMay 5, 1999\nNN3-CFS-96-999\nDOCUMENTATION FOR CENSUS TRACT DATA, 1960:\nELIZABETH MULLEN BOGUE FILE\nThe data files known as the Census Tract Data, 1960: Elizabeth\nMullen Bogue File, were deposited with the National Archives and\nRecords Administration (NARA) by a deed of gift from Dr. Donald\nBogue of The Community and Family Study Center, University of\nChicago. The 1960 Census Tract files were originally created by\nkeypunching the data from the printed publications prepared by the\nBureau of the Census. Record copies of these publications can be\nfound in the Publications of the U.S. Government (Record Group\n287). The 1960 census tract data reported in those publications\nwere manually keypunched by The Community and Family Study Center,\nunder the direction of Dr. Bogue. Much of this work was\naccomplished by Elizabeth Mullen Bogue, the wife of the principle\ninvestigator, Ms. Maggie Gibson, and a number of other students and\nstaff. Related funding for this project (for analysis and student\ntraining) came from a number of sources including the National\nScience Foundation, National Institute of Child Health and Human\nDevelopment, U.S. Agency for International Development, and the\nSocial Science Division of the University of Chicago.\nOne of Dr. Bogue's students, Dr. Michael White, obtained copies of\nthe Census Tract Data files. Dr. White of the Population Studies\nand Training Center, Brown University, arranged for the transfer of\nthese files to NARA on behalf of Dr. Bogue. The 1960 Census Tract\nData came to NARA in November 1998, along with a copy of the\noriginal documentation.\nNARA received 175 files, one per available tracted city, with\nvariable length records. There are two record types in each file;\na 'SMSA/Central City level' record type with a record length of\n3620 and a 'tract level' record type with a record length of 2742.\nNote that the first eight bytes in each block/record is a binary\nblock length/record counter. The donor provided a record layout\nfor the tract level data reported in the files. A separate user\nnote describes how that record layout should be used to conform\nwith the data as provided to NARA. NARA prepared a record layout\nfor the SMSA/Central City record type based on the original\ndocumentation and a review of the Census Tract publications for\n2\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\nAustin, Texas. A copy of the Austin report is included as part of\nthe technical documentation.\nThe first two records in each file are for the 'SMSA and Central\nCity level' data and the remainder of the records in the file\ncontain 'tract level' data, arranged numerically by tract. The\nCensus Tract publication (page 12) includes a list of all the\ncities for which tract reports were prepared and the various\nvariations on SMSA tracting that occurred.\nDocumentation for the 1960 Census Tract files consist of this\nintroduction, a NARA produced listing of the 175 Census Tract data\nfiles, a NARA produced record layout for the 'SMSA/ Central City\nlevel' record type, the original documentation for the 'Tract\nLevel' record type, and a NARA produced sample printout of records\nfrom the file for Austin, Texas, and a copy of the publication\n'Census Tract Statistics, Austin, Texas'. The 'Census Tract\nStatistics, Austin, Texas' document includes a list of all tracted\ncities.\nA copy of a sample census tract publication is included so that the\nresearcher can cross-check the data element titles and\nrelationships between items presented in the original publication.\nIn the process of preparing the NARA record layouts, NARA staff\nchecked as closely as possible the data element titles and\nlocations in the electronic records. Some discrepancies in the\ndata values between the publication and the data file were noted,\nespecially in calculated values (i.e. median income, median rent).\nResearchers should be aware that, because of the complexity\ninvolved in its preparation, there may be instances where the NARA\nprepared record layout may be in error. The donor could not supply\na record layout that matched the current format of the data.\nFor researchers obtaining copies of these file converted to ASCII,\nplease note that the first eight characters of each record (i.e.\nthe blocksize/record length counter) will not be converted.\nTherefore, the actual record length and data element positions will\nbe eight characters less than that indicated in the NARA prepared\nrecord layout. A general rule however is that, following the\nSERIAL CODE and BLANK fields in the 'SMSA and Central City'\nrecords, each data element is eight characters in length. In the\n'tract' level data, the original record layout supplied by the\ndonor would apply.\nRecord copies of all census tract publications can be found in the\nPublications of the U.S. Government (Record Group 287), or in\nvarious depository libaries across the United States. Among NARA's\ncartographic holdings are the original enumeration district maps,\nwhich also identify the tract areas for the tracted cities.\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\n3\n1760CT. NK4\nFile No.\nFilename\nCity\nNo. Rec/BlkNo. Bytes\nBlk Len\nMax Rec Len Rec Fmt\n1 AUSTIN\nAUSTIN, TX\n26\n72840\n16432\n3612 V\n2 BEAUMONT\nBEAUMONT, TX\n65\n179466\n16432\n3612 V\n3 SHREVE\nSHREVEPORT, LA\n65\n179466\n16432\n3612 V\n4 PEORIA\nPEORIA, ILL\n68\n187668\n16432\n3612 V\n5 LANCASTER\nLANCASTER, PA\n63\n173998\n16432\n3612 V\n6 WILKESBA\nWILKES-BARRE-HAZLET\n97\n266954\n16432\n3612 V\n7 LAREDO\nLAREDO, TX\n20\n56436\n16432\n3612 V\n8 WACO\nWACO, TX\n44\n122052\n16432\n3612 V\n9 CHARLESC\nCHARLESTON, SC\n52\n143924\n16432\n3612 V\n10 HAMMIDOH\nHAMITON-MIDDLETOWN\n44\n122052\n16432\n3612 V\n11 LAWHAVER\nLAWRENCE, MASS HAV\n32\n89244\n16432\n3612 V\n12 WATERLOO\nWATERLOO, IOWA\n32\n89244\n16432\n3612 V\n13 GREENSBO\nGREENSBORO-HIGH POI\n66\n182200\n16432\n3612 V\n14 LIMA\nLIMA, OH\n34\n94712\n16432\n3612 V\n15 LORELYOH\nLORAIN-ELYRIA, OH\n53\n146658\n16432\n3612 V\n16 SPRFLDOH\nSPRINGFIELD, OH\n35\n97446\n16432\n3612 V\n17 COLSPR\nCOLORADO SPRINGS, C\n48\n132988\n16432\n3612 V\n18 TOPEKA\nTOPEKA, KS\n41\n113850\n16432\n3612 V\n19 KANCITY\nKANSAS CITY, KS\n223\n611438\n16432\n3612 V\n20 SANJOSE\nSAN JOSE, CA\n129\n354442\n16432\n3612 V\n21 SPOKANE\nSPOKANE, WASH\n75\n206806\n16432\n3612 V\n22 TACOMA\nTACOMA, WASH\n72\n198604\n16432\n3612 V\n23 BIRMALA\nBIRMINGHAM, AL\n108\n297028\n16432\n3612 V\n24 NASHVILL\nNASHVILLE, TN\n88\n242348\n16432\n3612 V\n25,DETROIT\nDETROIT, MICH\n782\n2139744\n16432\n3612 V\n26 KALAMZO\nKALAMZOO, MICH\n42\n116584\n16432\n3612 V\n27 UTICAROM\nUTICA-ROME, NY\n88\n242348\n16432\n3612 V\n28 BALTIMOR\nBALTIMORE, MD\n353\n966858\n16432\n3612 V\n29 AKRON\nAKRON, OH\n98\n269688\n16432\n3612 V\n30 CLEVELAN\nCLEVELAND, OH\n369\n1010602\n16432\n3612 V\n31 RALEIGH\nRALEIGH, NC\n46\n127520\n16432\n3612 V\n32 SYRACUSE\nSYRACUSE, NY\n119\n327102\n16432\n3612 V\n33 WAHSDC\nWASH, DC-MD-VA\n368\n1007868\n16432\n3612 V\n34 BOSTON\nBOSTON, MASS\n447\n1223854\n16432\n3612 V\n35 WATERBRY\nWATERBURY, CT\n42\n116584\n16432\n3612 V\n36 CHARLOTT\nCHARLOTTE, NC\n66\n182200\n16432\n3612 V\n37 STEUBNVL\nSTEUBENVILLE, WEIRTO\n48\n132988\n16432\n3612 V\n38 TUCSON\nTUCSON, AR\n52\n143924\n16432\n3612 V\n39 SANANTON\nSAN ANTONIO, TX\n129\n354442\n16432\n3612 V\n40 YOUNGSTN\nYOUNGSTOWN-WARRE\n82\n225944\n16432\n3612 V\n41 COLUMBOH\nCOLUMBUS, OH\n150\n411856\n16432\n3612 V\n42 LINCOLN\nLINCOLN, NEBR\n40\n111116\n16432\n3612 V\n43 DECATUR\nDECATUR, ILL\n32\n89244\n16432\n3612 V\n44 INDPOLIS\nINDPOLIS, IND\n185\n507546\n16432\n3612 V\n45 MUNCIE\nMUNCIE, IND\n29\n81042\n16432\n3612 V\n46 MILWAUKE\nMILWAUKE, WI\n295\n808286\n16432\n3612 V\n47 DENVER\nDENVER, CO\n192\n526684\n16432\n3612 V\n48 PROVIDNC\nPROVIDENCE, RI PAWT\n179\n491142\n16432\n3612 V\n49 SANBERNA\nSAN BERNARDINO-RIVE\n188\n515748\n16432\n3612 V\n50 PUEBLOCO\nPUEBLO, CO\n36\n100180\n16432\n3612 V\n51 SANDIEGO\nSAN DIEGO, CA\n243\n666118\n16432\n3612 V\n52 LOUISVIL\nLOUISVILLE, KY-IND\n157\n430994\n16432\n3612 V\n53 MONTGOM\nMONTGOMERY, AL\n37\n102914\n16432\n3612 V\n54 HARRISBG\nHARRISBURG, PA\n88\n242348\n16432\n3612 V\n55 MIAMI\nMIAMI, FL\n179\n491142\n16432\n3612 V\n56 ORLANDO\nORLANDO, FL\n59\n163062\n16432\n3612 V\n57 FALLRIVR\nFALL RIVER, MA-RI\n29\n81042\n16432\n3612 V\n58 OMAHA\nOMAHA, NEBR\n105\n288826\n16432\n3612 V\n59 FTWORTH\nFT. WORTH, TX\n136\n373580\n16432\n3612 V\n60 WINSTSAL\nWINSTON-SALEM, MA\n43\n119318\n16432\n3612 V\n61 TYLER\nTYLER, TX\n23\n64638\n16432\n3612 V\n62 ODESSA\nODESSA, TX\n24\n67372\n16432\n3612 V\n63 BAKERSFD\nBAKERSFIELD, CA\n66\n182200\n16432\n3612 V\n4\nReproduced at the National Archives\n64 ALLENTWN\nALLENTOWN-BETHLEHE\n45\n124786\n16432\n3612 V\n65 SANFRAN\nSAN FRANCISCO, CA\n596\n1631220\n16432\n3612 V\n66 LANSING\nLANSING, MICH\n60\n165796\n16432\n3612 V\n67 STLOUIS\nST. LOUIS, MO-ILL\n346\n947720\n16432\n3612 V\n68 FTSMITH\nFT. SMITH, ARK\n14\n40032\n16432\n3612 V\n69 LITTROCK\nLITTLE ROCK, ARK\n45\n124786\n16432\n3612 V\n70 BATONRGE\nBATON ROUGE, LA\n50\n138456\n16432\n3612 V\n71 MONROE\nMONROE, LA\n17\n48234\n16432\n3612 V\n72 NORLEANS\nNEW ORLEANS, LA\n183\n502078\n16432\n3612 V\n73 OKLACITY\nOKLAHOMA CITY, OK\n98\n269688\n16432\n3612 V\n74 TULSAOKL\nTULSA, OK\n93\n256018\n16432\n3612 V\n75 ABILENE\nABILENE, TEX\n30\n83776\n16432\n3612 V\n76 CORPUSCH\nCORPI CHRISTI, TX\n42\n116584\n16432\n3612 V\n77 GALVESTN\nGALVESTON-TEXAS CIT\n31\n86510\n16432\n3612 V\n78 HOUSTON\nHOUSTON, TX\n199\n545822\n16432\n3612 V\n79 LUBBOCK\nLUBBOCK, TX\n27\n75574\n16432\n3612 V\n80 SANANGEL\nSAN ANGELO TX\n17\n48234\n16432\n3612 V\n81 TEXARKAN\nTEXARKANA, TX-ARK\n15\n42766\n16432\n3612 V\n82 WICHFALL\nWICHITA FALL, TX\n26\n72840\n16432\n3612 V\n83 PHOENIX\nPHOENIX, AR\n131\n359910\n16432\n3612 V\n84 LASVEGAS\nLAS VEGAS, NEV\n16\n45500\n16432\n3612 V\n85 ALBUQUER\nALBUQUERQUE, NM\n56\n154860\n16432\n3612 V\n86 OGDENUTA\nOGDEN, UTAH\n33\n91978\n16432\n3612 V\n87 SALTLAKE\nSALT LAKE CITY, UTAH\n90\n247816\n16432\n3612 V\n88 SACRAMEN\nSACRAMENTO, CA\n100\n275156\n16432\n3612 V\n89, SANTABAR\nSANTA BARBARA, CA\n32\n89244\n16432\n3612 V\n90 STOCKTON\nSTOCKTON, CA\n57\n157594\n16432\n3612 V\n91 SEATTLE\nSEATTLE, WA\n251\n687990\n16432\n3612 V\n92 HONOLULU\nHONOLULU, HI\n116\n318900\n16432\n3612 V\n93 ROCKFORD\nROCKFORD, ILL\n45\n124786\n16432\n3612 V\n94 EVANSVLL\nEVANSVILLE, IND-KY\n57\n157594\n16432\n3612 V\n95 FTWAYNE\nFT. WAYNE, IND\n61\n168530\n16432\n3612 V\n96 GARY\nGARY, IND\n74\n204072\n16432\n3612 V\n97 SOBEND\nSOUTH BEND, IND\n61\n168530\n16432\n3612 V\n98 ANNARBOR\nANN ARBOR, MICH\n53\n146658\n16432\n3612 V\n99 FLINT\nFLINT, MICH\n77\n212274\n16432\n3612 V\n100 GDRAPIDS\nGRRAND RAPIDS, MICH\n50\n138456\n16432\n3612 V\n101 JACKSON\nJACKSON, MICH\n34\n94712\n16432\n3612 V\n102 MUSKEGON\nMUSKEGON, MICH\n28\n78308\n16432\n3612 V\n103 SAGINAW\nSAGINAW, MICH\n54\n149392\n16432\n3612 V\n104 CHICAGO\nCHICAGO, ILL\n1282\n3506744\n16432\n3612 V\n105 CANTON\nCANTON, OH\n77\n212274\n16432\n3612 V\n106 CINCINAT\nCINCINNATI, OH-KY\n173\n474738\n16432\n3612 V\n107 DAYTON\nDAYTON, OH\n94\n258752\n16432\n3612 V\n108 GREENBAY\nGREEN BAY, WIS\n16\n45500\n16432\n3612 V\n109 MADISON\nMADISON, WIS\n52\n143924\n16432\n3612 V\n110 ELPASO\nEL PASO, TX\n50\n138456\n16432\n3612 V\n111 PORTLAND\nPORTLAND, OR-WA\n247\n677054\n16432\n3612 V\n112 DALLAS\nDALLAS, TX\n251\n687990\n16432\n3612 V\n113 BRIDGPRT\nBRIDGEPORT, CT\n73\n201338\n16432\n3612 V\n114 FRESNO\nFRESNO, CA\n86\n236880\n16432\n3612 V\n115 WICHKANS\nWICHITA, KS\n99\n272422\n16432\n3612 V\n116 PITTSBRG\nPITTSBRG, PA\n677\n1852674\n16432\n3612 V\n117 NORFOLKP\nNORFOLK-PORTSMITH,\n152\n417324\n16432\n3612 V\n118 DAVENPRT\nDAVENPRT, IOWA\n49\n135722\n16432\n3612 V\n119 DESMOINE\nDES MOINE, IA\n61\n168530\n16432\n3612 V\n120 SIOUXCIT\nSIOUX CITY, IA\n23\n64638\n16432\n3612 V\n121 SPRGFDMO\nSPRGFD, MO\n35\n97446\n16432\n3612 V\n122 DULUTH\nDULUTH-SUPERIOR, MIN\n40\n111116\n16432\n3612 V\n123 MINNSTPL\nMINNEAPOLIS-ST. PAUL,\n354\n969592\n16432\n3612 V\n124 WILMNGTN\nWILMINGTON, DEL-NJ\n120\n329836\n16432\n3612 V\n125 JACKSNVL\nJACKSONVILLE, FL\n31\n86510\n16432\n3612 V\n126 TAMPSTPT\nTAMPA-ST. PETERSBUR\n169\n463802\n16432\n3612 V\n127 ATLANTA\nATLANTA, GA\n181\n496610\n16432\n3612 V\n5\nReproduced at the National Archives\n128 AUGUSTA\nAUGUSTA, GA\n27\n75574\n16432\n3612 V\n129 COLUMBGA\nCOLUMBUS, GA\n61\n168530\n16432\n3612 V\n130 MACON\nMACON, GA\n34\n94712\n16432\n3612 V\n131 SAVANNAH\nSAVANNAH, GA\n54\n149392\n16432\n3612 V\n132 DURHAMNC\nDURHAM, NC\n28\n78308\n16432\n3612 V\n133 COLUMBSC\nCOLUMBUS, SC\n64\n176732\n16432\n3612 V\n134 GREENVIL\nGREENVILLE, SC\n43\n119318\n16432\n3612 V\n135 CHATTANO\nCHATTANOOGA, TENN-G\n57\n157594\n16432\n3612 V\n136 KNOXVILL\nKNOXVILLE, TENN\n32\n89244\n16432\n3612 V\n137 MEMPHIS\nMEMPHIS, TENN\n127\n348974\n16432\n3612 V\n138 NEWPORTN\nNEWPORT NEWS-HAMP\n24\n67372\n16432\n3612 V\n139 RICHMOND\nRICHMOND, VA\n89\n245082\n16432\n3612 V\n140 WHEELING\nWHEELING, W. VA-OH\n24\n67372\n16432\n3612 V\n141 GADSALA\nGADSDEN, AL\n30\n83776\n16432\n3612 V\n142 LEXINGTN\nLEXINGTON, KY\n30\n83776\n16432\n3612 V\n143 MOBALA\nMOBILE, AL\n41\n113850\n16432\n3612 V\n144 ATLANTIC\nATLANTIC CITY, NJ\n25\n70106\n16432\n3612 V\n145 JERSEYCT\nJERSEY CITY, NJ\n156\n428260\n16432\n3612 V\n146 NEWARK\nNEWARK, NJ\n381\n1043410\n16432\n3612 V\n147 PATTERSN\nPATERSON-CLIFTON-PA\n206\n564960\n16432\n3612 V\n148 TRENTON\nTRENTON, NJ\n47\n130254\n16432\n3612 V\n149 ALBANY\nALBANY-SCHENECTADY\n127\n348974\n16432\n3612 V\n150 BINGHMTN\nBINGHAMTON, NY\n47\n130254\n16432\n3612 V\n151 BUFFALO\nBUFFALO, NY\n216\n592300\n16432\n3612 V\n152 ROCHSTNY\nROCHESTER, NY\n146\n400920\n16432\n3612 V\n153ALTOONA\nALTOONA, PA\n22\n61904\n16432\n3612 V\n154 ERIE\nERIE, PA\n54\n149392\n16432\n3612 V\n155 JOHNSTWN\nJOHNSTOWN, PA\n31\n86510\n16432\n3612 V\n156 READING\nREADING, PA\n73\n201338\n16432\n3612 V\n157 SCRANTON\nSCRANTON, PA\n33\n91978\n16432\n3612 V\n158 YORK\nYORK, PA\n23\n64638\n16432\n3612 V\n159 PHILADEL\nPHILADELPHIA, PA\n959\n2623662\n16432\n3612 V\n160 HARTFORD\nHARTFORD, CT\n136\n373580\n16432\n3612 V\n161 NEWBRITN\nNEW BRITAIN, CT\n25\n70106\n16432\n3612 V\n162 NEWHAVEN\nNEW HAVEN, CT\n64\n176732\n16432\n3612 V\n163 NORWALK\nNORWALK, CT\n28\n78308\n16432\n3612 V\n164 STAMFORD\nSTAMFORD, CT\n43\n119318\n16432\n3612 V\n165 PRTLNDME\nPORTLAND, ME\n39\n108382\n16432\n3612 V\n166 BROCKTON\nBROCKTON, MA\n24\n67372\n16432\n3612 V\n167 LOWELL\nLOWELL, MA\n44\n122052\n16432\n3612 V\n168 NEWBDFRD\nNEW BEDFORD, MA\n30\n83776\n16432\n3612 V\n169 PITTSFLD\nPITTSFIELD, MA\n16\n45500\n16432\n3612 V\n170 SPRGFDMA\nSPRINGFIELD-CHCOPEE\n60\n165796\n16432\n3612 V\n171 WORCHEST\nWORCHESTER, MA\n67\n184934\n16432\n3612 V\n172 MANCHEST\nMANCHESTER, NH\n22\n61904\n16432\n3612 V\n173 LOSANGEL\nLOS ANGELES-LONG BE\n1405\n3683026\n16432\n3612 V\n174 TOLEDO\nTOLEDO, OH\n105\n288826\n16432\n3612 V\n175 NEWYORK\nNEW YORK, NY\n2776\n7591340\n16432\n3612 V\nReproduced at the National Archives\n6\n1960\nLAYOUT FOR SMSA/CENTRAL CITY\nFORMAT FOR SMSA AND CENTRAL CITY\nBLOCKSIZE/RECORD LENGTH COUNTER\n1-8\nSERIAL CODE\n9-14\nBLANK\n15-108\nPOPULATION AND HOUSING VARIABLE\n1 TOTAL POPULATION\n109-116\n2 TOTAL MALE\n117-124\n3 TOTAL FEMALE\n125-132\nTOTAL POPULATION, URBAN AND RURAL\n4 URBAN\n133-140\n5 RURAL NONFARM\n141-148\n6 RURAL FARM\n149-156\nRACE\n7 TOTAL POPULATION\n157-164\n8 WHITE\n165-172\n9 NEGRO\n172-180\n10 OTHER RACES\n181-188\nNATIVITY\n11 TOTAL FOREIGN STOCK\n189-196\n12 UNITED KINGDOM\n197-204\n13 IRELAND\n205-212\n14 NORWAY\n213-220\n15 SWEDEN\n221-228\n16 GERMANY\n229-236\n17 POLAND\n237-244\n18 CZECHOSLOVAKIA\n245-252\n19 AUSTRIA\n253-260\n20 HUNGARY\n261-268\n21 U.S.S.R\n269-276\n22 ITALY\n277-284\n23 CANADA\n285-292\n24 MEXICO\n293-300\n25 ALL OTHER AND N.R.\n301-308\nHOUSEHOLD RELATIONSHIP\n26 POPULATION IN HOUSEHOLDS\n309-318\n27 HEAD OF HOUSEHOLD\n319-326\n28 HEAD OF PRIMARY FAMILY\n327-334\n29 PRIMARY INDIVIDUAL\n335-342\n30 WIFE OF HEAD\n343-350\n31 CHILD UNDER 18 OF HEAD\n351-358\n32 OTHER REALTIVE OF HEAD\n359-366\n33 NON-RELATIVE OF HEAD\n367-374\n34 POPULATION IN GROUP QUARTERS\n375-382\n35 TOTAL MARRIED COUPLES\n383-390\n36 WITH OWN HOUSEHOLD\n391-398\n7\nReproduced at the National Archives\n37 WITH OWN CHILDREN UNDER 6\n399-406\n38 WITH CHILDREN UNDER 18\n407-414\n39 WITH HUSBAND UNDER 45\n415-422\n40 HUSBAND UNDER 45 - CHILDREN UNDER 18\n423-430\n41 UNRELATED INDIVIDUALS\n431-438\n42 PERSONS UNDER 18\n439-446\n43 PERSONS UNDER 18 LIVING WITH BOTH PARENTS\n447-454\nSCHOOL ENROLLMENT AGES 5-34\n44 TOTAL KINDERGARDTEN\n455-462\n45 PUBLIC KINDERGARTEN\n463-470\n46 TOTAL ELEMENTARY\n471-478\n47 PUBLIC ELEMENTARY\n479-486\n48 TOTAL HIGH SCHOOL\n487-494\n49 PUBLIC HIGH SCHOOL\n495-502\n50 COLLEGE\n503-510\nYEARS OF SCHOOL COMPLETED 25 PLUS\n51 NO SCHOOL YEARS COMPLETED\n511-518\n52 ELEMENTARY 1-4\n519-526\n53 ELEMENTARY 5-7\n527-534\n54 ELEMENTARY 8\n535-542\n55 HIGH SCHOOL 1-23\n543-550\n56 HIGH SCHOOL 4\n551-558\n57 COLLEGE 1-3\n559-566\n58 COLLEGE 4 PLUS\n567-574\nRESIDENCE IN 1955\n59 SAME HOUSE AS IN 1960\n575-582\nDIFFERENT HOUSE IN U.S.\n60 CENTRAL CITY THIS SMSA\n583-590\n61 OTHER PART THIS SMSA\n591-598\n62 OUTSIDE THIS SMSA, NORTH AND WEST\n599-606\n63 OUTSIDE THIS SMSA, SOUTH\n607-614\n64 ABROAD\n615-622\n65 MOVED, RESIDENCE IN 1955 N.R.\n623-630\n66 DIFFERENT HOUSE, SAME COUNTY\n631-638\n67 DIFFERENT COUNTY, SAME STATE\n639-646\n68 DIFFERENT STATE\n647-654\nFAMILY INCOME FOR FAMILIES IN 1959\n69 UNDER $1000\n655-662\n70 $1000-$1999\n663-670\n71 $2000-$2999\n671-678\n72 $3000-$3999\n679-686\n73 $4000-$4999\n687-694\n74 $5000-$5999\n695-702\n75 $6000-$6999\n703-710\n76 $7000-$7999\n711-718\n77 $8000-$8999\n719-726\nReproduced at the National Archives\n8\n78 $9000-$9999\n727-734\n79 $10000-$14999\n735-742\n80 $15000-$24999\n743-750\n81 $25000 PLUS\n751-758\nINCOME FOR UNRELATED INDIVIDUALS IN 1959\n82 UNDER $1000\n759-766\n83 $1000-$1999\n767-774\n84 $2000-$2999\n775-782\n85 $3000-$3999\n783-790\n86 $4000-$4999\n791-798\n87 $5000-$5999\n799-806\n88 $6000-$6999\n807-814\n89 $7000-$7999\n815-822\n90 $8000-$8999\n823-830\n91 $9000-$9999\n831-838\n92 $10000-$14999\n839-846\n93 $15000-$24999\n847-854\n94 $25000 PLUS\n855-862\nAGE - TOTAL MALES\n95 TOTAL MALES, ALL AGES\n863-870\n96 UNDER 5\n871-878\n97 5-9\n879-886\n98 10-14\n887-894\n99 15-19\n895-902\n100 20-24\n903-910\n101 25-29\n911-918\n102 30-34\n919-926\n103 35-39\n927-934\n104 40-44\n935-942\n105 45-49\n943-950\n106 50-54\n951-958\n107 55-59\n959-966\n108 60-64\n967-974\n109 65-69\n975-982\n110 70-74\n983-990\n111 75-79\n991-998\n112 80-84\n999-1006\n113 85 AND OVER\n1007-1014\n114 MEDIAN AGE\n1015-1022\nAGE - TOTAL FEMALES\n115 TOTAL FEMALES, ALL AGES\n1023-1030\n116 UNDER 5\n1031-1038\n117 5-9\n1039-1046\n118 10-14\n1047-1054\n119 15-19\n1055-1062\n120 20-24\n1063-1070\n121 25-29\n1071-1078\n122 30-34\n1079-1086\n123 35-39\n1087-1094\nReproduced at the National Archives\n9\n124 40-44\n1095-1102\n125 45-49\n1103-1110\n126 50-54\n1111-1118\n127 55-59\n1119-1126\n128 60-64\n1127-1134\n129 65-69\n1135-1142\n130 70-74\n1143-1150\n131 75-79\n1151-1158\n132 80-84\n1159-1166\n133 85 AND OVER\n1167-1174\n134 MEDIAN AGE\n1175-1182\nAGE - WHITE MALES\n135 WHITE MALES, ALL AGES\n1183-1190\n136 UNDER 5\n1191-1198\n137 5-9\n1199-1206\n138 10-14\n1207-1214\n139 15-19\n1215-1222\n140 20-24\n1223-1230\n141 25-29\n1231-1238\n142 30-34\n1239-1246\n148 35-39\n1247-1254\n144 40-44\n1255-1262\n145 45-49\n1263-1270\n146 50-54\n1271-1278\n147 55-59\n1279-1286\n148 60-64\n1287-1294\n149 65-69\n1295-1302\n150 70-74\n1303-1310\n151 75 AND OVER\n1311-1318\n152 MEDIAN AGE\n1319-1326\nAGE - WHITE FEMALES\n153 WHITE FEMALES, ALL AGES\n1327-1334\n154 UNDER 5\n1335-1342\n155 5-9\n1343-1350\n156 10-14\n1351-1358\n157 15-19\n1359-1366\n158 20-24\n1367-1374\n159 25-29\n1375-1382\n160 30-34\n1383-1390\n161 35-39\n1391-1398\n162 40-44\n1399-1406\n163 45-49\n1407-1414\n164 50-54\n1415-1422\n165 55-59\n1423-1430\n166 60-64\n1431-1438\n167 65-69\n1439-1446\n168 70-74\n1447-1454\n169 75 AND OVER\n1455-1462\n170 MEDIAN AGE\n1463-1470\nAGE\nReproduced at the National Archives\n10\n171 MALE UNDER 5\n1471-1478\n172 MALES 5-14\n1479-1486\n173 MALES 15-19\n1487-1494\n174 MALES 20-64\n1495-1502\n175 MALES 65 AND PLUS\n1503-1510\n176 FEMALES UNDER 5\n1511-1518\n177 FEMALES 5-14\n1519-1526\n178 FEMALES 15-19\n1527-1534\n179 FEMALES 20-64\n1535-1542\n180 FEMALES 65 AND PLUS\n1543-1550\nMARITAL STATUS - TOTAL MALES 14 AND OVER\n181 TOTAL MALES 14 YRS AND OVER\n1551-1558\n182 SINGLE\n1559-1566\n183 MARRIED\n1567-1574\n184 SEPARATED\n1575-1582\n185 WIDOWED\n1583-1590\n186 DIVORCED\n1591-1598\nMARITAL STATUS - TOTAL FEMALES 14 AND OVER\n187 TOTAL FEMALES 14 YRS AND OVER\n1599-1606\n188 SINGLE\n1607-1614\n189 MARRIED\n1615-1622\n190 SEPARATED\n1623-1630\n191 WIDOWED\n1631-1638\n192 DIVORCED\n1639-1646\nMARITAL STATUS - NONWHITE MALES 14 AND OVER\n193 NONWHITE MALES 14 YRS AND OVER\n1647-1654\n194 SINGLE\n1655-1662\n195 MARRIED\n1663-1670\n196 SEPARATED\n1671-1678\n197 WIDOWED\n1679-1686\n198 DIVORCED\n1687-1694\nMARITAL STATUS - NONWHITE FEMALES 14 AND OVER\n199 NONWHITE FEMALES 14 YRS AND OVER\n1695-1702\n200 SINGLE\n1703-1710\n201 MARRIED\n1711-1718\n202 SEPARATED\n1719-1726\n203 WIDOWED\n1727-1734\n204 DIVORCED\n1735-1742\nMALE EMPLOYMENT STATUS\n205 EMPLOYED\n1743-1750\n206 UNEMPLOYED\n1751-1758\n207 ARMED FORCES\n1759-1766\n208 NOT ON LABOR FORCE\n1767-1774\nReproduced at the National Archives\n1 1\nFEMALE EMPLOYMENT STATUS\n209 EMPLOYED\n1775-1782\n210 UNEMPLOYED\n1783-1790\n211 ARMED FORCES\n1791-1798\n212 NOT ON LABOR FORCE\n1799-1806\nMARRIED WOMEN IN LABOR FORCE\n213 HUSBAND PRESENT\n1807-1814\n214 HUSBAND PRESENT, CHILDREN UNDER 6\n1815-1822\nMALES EMPOYED, BY OCCUPATION\n215 PROFESSIONAL, TECHNICAL, AND KNIDRED WORKERS\n1823-1830\n216 FARMERS AND FARM MANAGERS\n1831-1838\n217 MANAGERS, OFFICIALS AND PROPRIETORS\n1839-1846\n218 CLERICAL AND KNIDRED\n1847-1854\n219 SALES\n1855-1862\n220 CRAFTSMEN, FOREMEN AND KINDRED\n1863-1870\n221 OPERATIVES AND KINDRED\n1871-1878\n222 PRIVATE HOUSEHOLD\n1879-1886\n223 SERVICE EXCEPT HOUSEHOLD\n1887-1894\n224 FARM LABORERS AND FOREMEN\n1895-1902\n225 LABORERS EXCEPT FARM AND MINE\n1903-1910\n226 NOT REPORTED\n1911-1918\nFEMALES EMPLOYED, BY OCCUPATION\n227 PROFESSIONAL, TECHNICAL, AND KNIDRED WORKERS\n1919-1926\n228 FARMERS AND FARM MANAGERS\n1927-1934\n229 MANAGERS, OFFICIALS AND PROPRIETORS\n1935-1942\n230 CLERICAL AND KNIDRED\n1943-1950\n231 SALES\n1951-1958\n232 CRAFTSMEN, FOREMEN AND KINDRED\n1959-1966\n233 OPERATIVES AND KINDRED\n1967-1974\n234 PRIVATE HOUSEHOLD\n1975-1982\n235 SERVICE EXCEPT HOUSEHOLD\n1983-1990\n236 FARM LABORERS AND FOREMEN\n1991-1998\n237 LABORERS EXCEPT FARM AND MINE\n1999-2006\n238 NOT REPORTED\n2007-2014\nCLASS OF WORKERS\n239 PRIVATE WAGE AND SALERY\n2015-2022\n240 GOVERNMENT\n2023-2030\n241 SELF-EMPLOYED\n2031-2038\n242 UNPAID FAMILY WORKER\n2039-2046\nTOTAL EMPLOYED BY INDUSTRY\n243 MINING\n2047-2054\n244 CONSTRUCTION\n2055-2062\n245 FURNITURE, LUMBER AND WOOD\n2063-2070\n246 METAL INDUSTRIES\n2071-2078\n247 MACHINERY\n2079-2084\n248 TRANSPORTATION EQUIPMENT\n2085-2092\n249 OTHER DURABLE GOODS\n2093-2100\n250 FOOD AND KNIDRED\n2101-2108\n12\nReproduced at the National Archives\n251 TEXTILE AND APPAREL\n2109-2116\n252 PRINTING, PUBLISHING AND ALLIED\n2117-2124\n253 OTHER NONDURABLE\n2125-2132\n254 RAILROAD AND RAILWAY EXPRESS\n2133-2140\n255 OTHER TRANSPORTATION\n2141-2148\n256 COMMUNICATIONS, UTILITIES, SANITARY SERVICE\n2149-2156\n257 WHOLESALE TRADE\n2157-2164\n258 EATING AND DRINKING PLACES\n2165-2172\n259 OTHER RETAIL\n2173-2180\n260 BUSINESS AND REPAIR SERVICE\n2181-2188\n261 PRIVATE HOUSEHOLD\n2189-2196\n262 OTHER PERSONAL SERVICE\n2197-2204\n263 HOSPITALS\n2205-2212\n264 EDUCATION SERVICE\n2213-2220\n265 OTHER PROFESSIONAL SERVICE\n2221-2228\n266 PUBLIC ADMINISTRATION\n2229-2236\n267 OTHER/NOT REPORTED\n2237-2244\nMEANS OF TRANSPORTATION TO WORK\n268 PRIVATE AUTO OR CARPOOL\n2245-2252\n269 RAILROAD\n2253-2260\n270 SUBWAY OR ELEVATED\n2261-2268\n271 BUS OR STREETCAR\n2269-2276\n272 WALKED\n2277-2284\n273 OTHER MEANS\n2285-2292\n274 WORKED AT HOME\n2293-2300\n275 NOT REPORTED\n2301-2308\nPLACE OF WORK\n276 AREA A\n2309-2316\n277 AREA B\n2317-2324\n278 AREA C\n2325-2332\n279 AREA D\n2333-2340\n280 AREA E\n2341-2348\n281 AREA F\n2349-2356\n282 AREA G\n2357-2364\n283 AREA H\n2365-2372\n284 AREA I\n2373-2380\n285 AREA J\n2381-2388\n286 AREA K\n2389-2396\n287 AREA L\n2397-2404\n288 AREA M\n2405-2412\n289 ELSEWHERE\n2413-2420\n290 NOT REPORTED\n2421-2428\nMALES 14 PLUS, NOT IN LABOR FORCE\n291 INMATE OF INSTITUTION\n2429-2436\n292 ENROLLED IN SCHOOL\n2437-2444\n293 OTHER UNDER 65\n2445-2452\n294 OTHER PLUS 65\n2453-2460\nFEMALES 14 PLUS, NOT IN LABOR FORCE\n295 INMATE OF INSTITUTION\n2461-2468\n296 ENROLLED IN SCHOOL\n2469-2476\n297 OTHER UNDER 65\n2477-2484\nReproduced at the National Archives\n13\n298 OTHER PLUS 65\n2485-2492\nTENURE AND VANCANCY STATUS\n299 TOTAL HOUSE UNITS\n2493-2500\n300 ALL HOUSING UNITS\n2501-2508\n301 OWNER OCCUPIED\n2509-2516\n302 WHITE\n2517-2524\n303 NONWHITE\n2525-2532\n304 RENTER OCCUPIED\n2533-2540\n305 WHITE\n2541-2548\n306 NONWHITE\n2549-2556\n307 AVAILABLE VACANT\n2557-2564\n308 FOR SALE ONLY\n2565-2572\n309 FOR RENT ONLY\n2573-2580\n310 OTHER VACANT\n2581-2588\nCONDITION OF HOUSES\n311 HOUSES - SOUND\n2589-2596\n312 HOUSES - DETERIORATED\n2597-2604\n313 HOUSES - DELAPIDATED\n2605-2612\nCONDITION AND PLUMBING, ALL UNITS\n& SOUND\n314 -WITH ALL FACILITIES\n2613-2620\n315 -LACKING ONLY HOT WATER\n2621-2628\n316 -LACKING PRIVATE TOILET, BATH, RUNNING WATER\n2629-2636\nDETERIORATING\n317 -WITH ALL FACILITIES\n2637-2644\n318 -LACKING ONLY HOT WATER\n2645-2652\n319 -LACKING PRIVATE BATH, TOILET, RUNNING WATER\n2653-2660\n320 DELAPIDATED\n2661-2668\nNUMBER OF BATHROOMS\n321 1\n2669-2676\n322 1 PLUS\n2677-2684\n323 SHARED OR NONE\n2685-2692\nROOMS\n324 TOTAL NUMBER OF ROOMS\n2693-2700\n325 1\n2701-2708\n326 2\n2709-2716\n327 3\n2717-2724\n328 4\n2725-2732\n329 5\n2733-2740\n330 6\n2741-2748\n331 7\n2749-2756\n332 8 AND OVER\n2757-2764\nNUMBER OF UNITS IN STRUCTURE\n333 1\n2765-2772\n334 2\n2773-2780\n335 3-4\n2781-2788\n336 5-9\n2789-2796\n337 10 PLUS\n2797-2804\n14\nReproduced at the National Archives\nYEAR STRUCTURE BUILT\n338 1950-1960\n2805-2812\n339 1940-1949\n2813-2820\n340 BEFORE 1940\n2821-2828\nOWNER OCCUPIED\n341 1950-1960\n2829-2836\n342 BEFORE 1950\n2837-2844\nBASEMENT\n343 BASEMENT\n2845-2852\n344 CONCRETE SLAB\n2853-2860\n345 OTHER\n2861-2868\nHEATING EQUIPMENT\n346 STEAM OR HOT WATER\n2869-2876\n347 WARM AIR FURNACE\n2877-2884\n348 BUILT-IN ROOM UNITS\n2885-2892\n349 OTHER, WITH FLUE\n2893-2900\n350 OTHER, WITHOUT FLUE\n2901-2908\n351 NONE\n2909-2916\nNUMBER OF PERSONS IN HOUSEHOLD, OWNER OCCU\n352 1\n2917-2924\n353 2\n2925-2932\n354 3\n2933-2940\n355 4\n2941-2948\n356 5\n2949-2956\n357 6\n2957-2964\n358 7\n2965-2972\n359 8 PLUS\n2973-2980\nNUMBER OF PERSONS IN HOUSEHOLD, RENTER OCCU\n360 1\n2981-2988\n361 2\n2989-2996\n362 3\n2997-3004\n363 4\n3005-3012\n364 5\n3013-3020\n365 6\n3021-3028\n366 7\n3029-3036\n367 8 PLUS\n3037-3044\nPERSONS PER ROOM\n368 UNDER 0.51\n3045-3052\n369 0.51-0.75\n3053-3060\n370 0.76-1\n3061-3068\n371 1.01 PLUS\n3069-3076\nYEAR MOVED INTO UNIT (TOTAL)\n372 1958-1960\n3077-3084\n373 1954-1957\n3085-3092\n374 1940-1953\n3093-3100\n375 BEFORE 1940\n3101-3108\nYEAR MOVED INTO UNIT-OWNER OCCUPIED\n15\nReproduced at the National Archives\n376 1958-1960\n3109-3116\n377 1954-1957\n3117-3124\n378 BEFORE 1954\n3125-3132\nAUTOS AVAILABLE (OCCUPIED UNITS ONLY)\n379 NONE\n3133-3140\n380 1\n3141-3148\n381 2\n3149-3156\n382 3 PLUS\n3157-3164\nVALUE OF PROPERTY (TOTAL)\n383 UNDER $5000\n3165-3172\n384 $5000-$7400\n3173-3180\n385 $7500-$9900\n3181-3188\n386 $10000-$12400\n3189-3196\n387 $12500-$14900\n3197-3204\n388 $15000-$17400\n3205-3212\n389 $17500-$19900\n3213-3220\n390 $20000-$24000\n3221-3228\n391 $25000-$34900\n3229-3236\n392 $35000 PLUS\n3237-3244\nGROSS RENT (TOTAL)\n393 UNDER $20\n3245-3252\n394 $20-$29\n3253-3260\n395 $30-$39\n3261-3268\n396 $40-$49\n3269-3276\n397 $50-$59\n3277-3284\n398 $60-$69\n3285-3292\n399 $70-$79\n3293-3300\n400 $80-$89\n3301-3308\n401 $90-$99\n3309-3316\n402 $100-$119\n3317-3324\n403 $120-$149\n3325-3332\n404 $150-$199\n3333-3340\n405 $200 PLUS\n3341-3348\nCONTRACT RENT\n406 UNDER $20\n3349-3356\n407 $20-$29\n3357-3364\n408 $30-$39\n3365-3372\n409 $40-$49\n3373-3380\n410 $50-$59\n3381-3388\n411 $60-$69\n3389-3396\n412 $70-$79\n3397-3404\n413 $80-$89\n3405-3412\n414 $90-$99\n3413-3420\n415 $100-$119\n3421-3428\n416 $120-$149\n3429-3436\n417 $150 PLUS\n3437-3444\n418 NO CASH RENT\n3445-3452\nSTORIES AND ELEVATORS\n419 3 STORIES OR LESS\n3453-3460\n420 4 PLUS WITH ELEVATOR\n3461-3468\nReproduced at the National Archives\n16\n421 4 PLUS WITHOUT ELEVATOR\n3469-3476\nTRAILERS\n422 MOBILE\n3477-3484\n423 PERMANENT FOUNDATIONS\n3485-3492\nSOURCE OF WATER\n424 PUBLIC SYSTEM OR PRIVATE COMPANY\n3493-3500\n425 CONNECTED TO PUBLIC SEWER\n3501-3508\n426 INDIVIDUAL WELL\n3509-3516\n427 OTHER OR NONE\n3517-3524\nSEWAGE DISPOSAL\n428 PUBLIC SEWER\n3525-3532\n429 SEPTIC TANK OR CESSPOOL\n3533-3540\n430 OTHER OR NONE\n3541-3548\n431 EXCESS HOUSING CAPCITY\n3549-3556\nHEATING FUELS FOR OCCUPIED UNITS\n432 COAL OR COKE\n3557-3564\n433 WOOD\n3565-3572\n434 UTILITY GAS\n3573-3580\n435 BOTTLED, TANK OR LP GAS\n3581-3588\n436 ELECTRICITY\n3589-3596\n437 FUEL OIL, KEROSENE\n3597-3604\n438 OTHER\n3605-3612\n439 NO FUEL\n3613-3620\n17\nReproduced at the National Archives\nRECORDS AND ARRCHIVES ADMINISTRATION TYNOLLYN\nNational Archives and Records Administration\n8601 Adelphi Road\n1985\nCollege Park, Maryland 20740-6001\nDate\n:\nMay 5, 1999\nReply to\nAttn of\n:\nNWME (Hull)\nSubject\n:\n1960 Census Tract Level Layout\nTo\n:\nFile\nIncluded as part of the technical documentation for the Census Tract Data, 1960: Elizabeth\nMullen Bogue file is the original documentation provided with the data files at the time of\ndeposit in the National Archives. Specifically, the documentation provided is the record\nlayout for the tract level records in the data files. Note that the record layout does not\naccount for the first eight bytes which are the embedded BLOCKSIZE/RECORD LENGTH\nCOUNTER. Therefore, researchers using the tract level record layout should add eight bytes\nto the positions indicated in the record layout to identify the exact location of any particular\ndata element. Therefore, the actual length of the tract level records is 2742 bytes; eight\nbytes longer than that indicated in the original documentation. NARA prepared a layout for\nthe SMSA/CENTRAL CITY record layout based on the listing of data elements presented in\nthe census tract level layout.\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\n18\n1960 CENSUS TAPE\nCODEBOOK\nEAch FILE\nThe first two records on the tape contain the SMSA and Central City totals\nfor the 439 variables on the tract records. The order of these variables is\nthe same on the SMSA and CC records as it is on the tract records; but the field\nsize for each variable on the first two records is eight bytes long instead of\nthe six byte field size of the tract records. Therefore, the tract records ard\nonly 2734 bytes long; but the summary records are each 3612 bytes long.\nBytes 1-6 on the first two records are the 6-digit alphabetic serial codes\nwhich occur in bytes 41-46 of the tract records. Bytes 7-100 of the first two\nrecords on the tape are blank.\nFORMAT FOR EACH TRACT OF THE SMSA:\nBytes\nField\n1-8\nAn 8-digit serialization code\n9-11\nAlphbetic prefix of tract name if any\n12-16\nNumeric part of tract name with alpha suffix coded 0=none, 1=A, 2\n17-22\nNorth census coordinate\n23-28.9\nEast census coordinate\n29\nTract type code (1=central city, 2=incorp place, 3=county bal,\nblank if nt)\n30-35\nSerialization code\n36-40\nContains the word 'SPLIT' if tract is split in National Location\nCode, blank otherwise\nSMA\n41-46\nSerial code alphabetic sma\n47-52\nUrbanized area code\n53-82\nTract name (last character one or zero for urban or rural, respecti\n83-88\nBureau of Census county number\n89-94\nLongitude coordinates\n95-100\nLatitude coordinates\nof 439 Variables)\nPOPULATION AND HOUSING VARIABLE\n1\n101-106\nTotal population\nI\n107..112\nTotal male\n3\n113-118\nTotal female\nTotal Population, Urban and Rural\n119-124\nUrban\n5\n125-130\nRural nonfarm\n[\n131-136\nRural farm\nReproduced at the National Archives\n19\n2\nBytes\nField\nRace\n,\n137-142\nTotal population\n3\n143-148\nWhite\n_D\n149-154\nWegro\n10\n155-160\nOther races\nNAtivity\nil\n161-166\nTotal foreign stock\n12\n167-172\nUnited Kingdom\n13\n173-178\nIreland\n14\n179-184\nNorway\n15\n185-190\nSweden\n16\n191-196\nGermany\n17\n197-202\nPoland\n18\nI 203-208\nCzechoslovakia\n19\n209-214\nAustria\n20\n215-220\nHungary\n21\n221-226\nU.S.S.R.\n20\n227-232\nItaly\n:3\n233-238\nCanada\n24\n239-244\nMexico\n25\n245-250\nAll other and N.R.\nHousehold Relationship\n26\n251-256\nPopulation in households\ny\n257-262\nHead of household\n28\n263-268\nHead of primary family\n15\n269-274\nPrimary individual\n30\n275-280\nWife of head\n31\n281-286\nChild under 18 of head\n32\n287-292\nOther relative of head\n33\n293-298\nNon-relative of head\n34\n299-304\nPopulation in group quarters\n35\n305-310\nTotal married couples\n36\n311-316\nWith own household\n3\n317-322\nWith own children under 6\n38\n323-328\nWith own children under 18\n39\n329-334\nWith husband under 45\n4 0 335-340\nHusband under 45 - children under 18\nReproduced at the National Archives\n20\n3\nBytes\nField\n341-346\nUnrelated individuals\n110\n347-352\nPersons under 18\n43\n353-358\nPersons under 18 living with both parents\nSchool Enrolment Ages-5-34\nYy\n359-364\nTotal kindergarten\nus\n365-370\nPublic kindergarten\n46\n371-376\nTotal elementary\n47\n377-382\nPublic elementary\n48\n383-388\nTotal high school\nis\n389-394\nPublic high school\nas\n395-400\nCollege\nYears of School Completed 25 Plus\n51\n401-406\nNo school years completed\n52\n407-412\nElementary 1-4\n53\n413-418\nElementary 5-7\n59\n419-424\nElementary 8\n55\n425-430\nHigh school 1-3\n50\n431-436\nHigh school 4\n5)\n437-442\nCollege 1-3\n58\n443-448\nCóllege 4 plus\nResidence in 1955\n59\n449-454\nSame house as in 1960\nDifferent house in U. s.)\n\"\n455-460\nCentral city this SMSA\n61\n461-466\nOther part this SMSA\n12\n467-472\nOutside this SMSA, north and west\n(3\n473-478\nOutside this SMSA, south\n54\n479-484\nAbroad\n65\n485-490\nMoved, Residence in 1955 N.R.\n66\n491-496\nDifferent house, same county\n6)\n497-502\nDifferent county, same state\n18\n503-508\nDifferent state\nFamily Income for Families in 1959\nby\n509-514\nUnder $1,000\nDO\n515-520\n$1,000-$1,999\n)\n521-526\n$2,000-$2,999\n72\n527-532\n$3,000-$3,999\n73\n21\nRefrace the National Archives 000-$4,999\n4\nNo\nBytes\nField\n1,\n539-544\n$5,000-$5,999\n75\n545-550\n$6,000-$6,999\n76\n551-556\n$7,000-$7,999\n>>\n557-562\n$8,000-$8,999\n78\n563-568\n$9,000-$9,999\n79\n569-574\n$10,000-$14,999\n:\n575-580\n$15,000-$24,999\nPl\n581-586\n$25,000 Plus\nIncome for Unrelated Individuals in 1959\n82\n587-592\nUnder $1,000\n53\n593-598\n$1,000-$1,999\n84\n599-604\n$2,000-$2,999\nis\n605-610\n$3,000-$3,999\n86\n011-616\n$4,000-$4,999\n5\n617-622\n$5,000-$5,999\n83\n623-628\n$6,000-$6,999\n33\n629-634\n$7,000-$7,999\ngo\n635-640\n$8,000-$8,999\niii\n641-646\n$9,000-$9,999\n22\n647-652\n$10,000-$14,999\n93\n653-658\n$15,000-$24,999\n34\n659-664\n$25,000 Plus\nAge - Total Males\n95\n665-670\nTotal Males, all ages\n\"1\".\n671-676\nUnder 5\nai\n677-682\n5-9\n95\n683-688\n10-14\n=\n689-694\n15-19\n100\n695-700\n20-24\n1\npass-\n701-706\n25-29\n2 MAY\n707-712\n30-34\n; 1004\n713-718\n35-39\n7.1 pros\n719-724\n40-44\n:5 PVF 725-730\n45-49\nof\n731-736\n50-54\nC.\n199\n737-742\n55-59\nmy 743-748\n60-64\n22\nReproduced at the National Archives\n5\nIAT No Bytes\nField\n749-754\n65-69\n755-760\n70-74\n761-766\n75-79\n767-772\n80-84\n773-778\n85 and over\n779-784\nMedian age\nL\nAge - Total Females\n785-790\nTotal females, all ages\n791-796\nUnder 5\n797-802\n5-9\n803-808\n10-14\n809-814\n15-19\n815-820\n20-24\n821-826\n25-29\n827-832\n30-34\n833-838\n35-39\n839-844\n40-44\n845-850\n45-49\n851-856\n50-54\n857-862\n55-59\n863-868\n60-64\n869-874\n65-69\n875-880\n70-74\n881-886\n75-79\n887-892\n80-84\n893-898\n85 and over\n899-904\nMedian age\nAge - White Males\n905-910\nWhite males, all ages\n911-916\nUnder 5\n917-922\n5-9\n923-928\n10-14\n929-934\n15-19\n935-940\n20-24\n941-946\n25-29\n947-952\n30-34\n953-958\n35-39\nthe National Archi0es44\n23\n6\ny.r.\nNo\nBytes\nField\n9\n965-970\n45-49\n971-976\n50-54\n977-982\n55-59\n983-988\n60-64\n989-994\n65-69\n995-1000\n70-74\n1001-1006\n75 and over\n1007-1012\nMedian age\nAge - White Females\n1013-1018\nWhite females, all ages\n1019-1024\nUnder 5\n1025-1030\n5-9\n1031-1036\n10-14\n-1037-1042\n15-19\n1043-1048\n20-24\n1049-1054\n25-29\n1055-1060\n30-34\n1061-1066\n35-39\n1067-1072\n40-44\n1073-1078\n45-49\n1079-1084\n50-54\n1085-1090\n55-59\n1091-1096\n60-64\n1097-1102\n65-69\n1103-1108\n70-74\n1109-1114\n75 and over\n1115-1120\nMedian age\nAge RECODE\n1121-1126\nMales under 5\n1127-1132\nMales 5-14\n1133-1138\nMales 15-19\n1139-1144\nMales 20-64\n1145-1150\nMales 65 and plus\n1151-1156\nFemales under 5\n1157-1162\nFemales 5-14\n1163-1168\nFemales 15-19\nReproduced at the National Archives\n24\n7\nBytes\nField\n1169-1174\nFemales 20-64\n1175-1180\nFemales 65 and plus\nMarital Status-Total Males 14. and Over\n1181-1186\nTotal males 14 yrs and over\n1187-1192\nSingle\n1193-1198\nMarried\n1199-1204\nSeparated\n1205-1210\nWidowed\n1211-1216\nDivorced\nMarital Status-Total Females 14 and Over\n1217-1222\nTotal females 14 yrs and over\n1223-1228\nSingle\n1229-1234\nMarried\n1235-1240\nSeparated\n1241-1246\nWidowed\n1247-1252\nDivorced\nMarital Status-Nonwhite Males 14 and Over\n1253-1258\nNonwhite males 14 yrs and over\n1259-1264\nSingle\n1265-1270\nMarried\n1271-1276\nSeparated\n1277-1282\nWidowed\n1283-1288\nDivorced\nMarital Status- Nonwhite Females 14 and Over\n1289-1294\nNonwhite females 14 yrs and over\n1295-1300\nSingle\n1301-1306\nMarried\n1307-1312\nSeparated\n1313-1318\nWidowed\n1319-1324\nDivorced\nMale Employment Status\n1325-1330\nEmployed\n1331-1336\nUnemployed\n1337-1342\nArmed forces\n1343-1348\nNot in labor force\nFemale Employment Status\n1349-1354\nEmployed\n210\nReproduced 1355-1360 at the National ArchiVenemployed\n25\n8\nVN\nNo.\nBytes\nField\n=\n1361-1366\nArmed forces\n1367-1372\nNot in labor force\nMarried Women in Labor Force\n1373-1378\nHusband present\n1379-1384\nHusband present, children under 6\nMales Employed, by Occupation\n1385-1390\nProfessional, technical and kindred workers\n1391-1396\nFarmers and farm managers\n1397-1402\nManagers, officials and proprietors\n1403-1408\nClerical and kindred\n1409-1414\nBales\n1415-1420\nCraftsmen, foremen and kindred\n1421-1426\nOperatives and kindred\n1427-1432\nPrivate household\n1433-1438\nService except household\n1439-1444\nFarm laborers and foremen\n1445-1450\nLaborers except farm and mine\n1451-1456\nNot reported\nFemales Employed, by Occupation\n1457-1462\nProfessional, technical and kindred\n1463-1468\nFarmers and farm managers\n1469-1474\nManagers, officials and proprietors\n1475-1480\nClerical and kindred\n1481-1486\nSales\n1487-1492\nCraftsmen, foremen and kindred\n1493-1498\nOperatives and kindred\n1499-1504\nPrivate household\n1505-1510\nService except household\n1511-1516\nFarm laborers and foremen\n1517-1522\nLaborers except farm and mine\n1523-1528\nNot reported\nClass of Workers\n1529-1534\nPrivate wage and salery\n1535-1540\nGovernment\n1541-1546\nSelf-employed\n1547-1552\nUnpaid family worker\n26\n1553-1558\nTotal Employed by Industry\nReproduced at the National ArchMisning\n9\nBytes\nField\n244\n1559-1564\nConstruction\n1565-1570\nFurniture, lumber and wood\n1571-1576\nMetal industries\n1577-1582\nMachinery\n1583-1588\nTransportation equipment\n1589-1594\nOther durable goods\n1595-1600\nFood and kindred\n1601-1606\nTextile and apparel\n1607-1612\nPrinting, publishing and allied\n1613-1618\nOther nondurable\n1619-1624\nRailroad and railway express\n1625-1630\nOther transportation\n1631-1636\nCommunications, utilities, sanitary service\n1637-1642\nWholesale trade\n1643-1648\nEating and drinking places\n1649-1654\nOther retail\n1655-1660\nBusiness and repair service\n1661-1666\nPrivate household\n1667-1672\nOther personal service\n1673-1678\nHospitals\n1679-1684\nEducation service\n1685-1690\nOther professional service\n1691-1696\nPublic administration\n1697-1702\nOther/Not reported\nMeans of Transportaion to Work\n1703-1708\nPrivate auto or carpool\n1709-1714\nRailroad\n1715-1720\nSubway or elevated\n1721-1726\nBus or streetcar\n1727-1732\nWalked\n1733-1738\nOther means\n1739-1744\nWorked at home\n1745-1750\nNot reported\nPlace of Work\n1751-1756\nArea A\n1757-1762\nArea B\n1763-1768\nArea C\n8cc.\n27\nReproduced at the National Archives\n10\nBytes\nField\n277\n1769-1774\nArea D\n1775-1780\nArea E\n1781-1786\nArea F\n1787-1792\nArea G\n1793-1798\nArea H\n1799-1804\nArea I\n1805-1810\nArea J\n1811-1816\nArea K\n1817-1822\nArea L\n1823-1828\nArea M\n1829-1834\nElsewhere\n1835-1840\nNot reported\nMales 14 Plus, Not in Labor Force\n1841-1846\nInmate of institution\n1847-1852\nEnrolled in school\n1853-1858\nOther under 65\n1859-1864\nOther plus 65\nFemales 14 Plus, Not in Labor Force\n1865-1870\nInmate of institution\n1871-1876\nEnrolled in school\n1877-1882\nOther under 65\n1883-1888\nOther over 65\n1889-1894\nTotal house units\nTenure and Vacancy Status\n1895-1900\nAll housing units\n1901-1906\nOwner occupied\n1907-1912\nWhite\n1913-1918\nNonwhite\n1919-1924\nRenter occupied\n1925-1930\nWhite\n1931-1936\nNonwhite\n1937-1942\nAvailable vacant\n1943-1948\nFor sale only\n1949-1954\nFor rent only\n1955-1960\nOther vacant\nCondition of Houses\n311\n1961-1966\nHouses - sound\n28\nReproduced at the National Archives\n11\nBytes\nField\n312\n1967-1972\nHouses - deteriorated\n1973-1978\nHouses - delapidated\nCondition and Plumbing, Ail Units\nSound\n1979-1984\nWith all facilities\n1985-1990\nLacking only hot water\n1991-1996\nLacking private toilet, bath, running water\nDeteriorating\n1997-2002\nWith all facilities\n2003-2008\nLacking only hot water\n2009-2014\nLacking private bath, toilet, running water\n2015-2020\nDelapidated\nNumber of Bathrooms\n2021-2026\n1\n2027-2032\n1 plus\n2033-2038\nShared or none\n2039-2044\nTotal number of rooms\nRooms\n2045-2050\n1\n2051-2056\n2\n2057-2062\n3\n2063-2068\n4\n2069-2074\n5\n2075-2080\n6\n2081-2086\n7\nNUMBERING is\n2087-2092\n8 and over\nNumber of Units in Structure\n2093-2098\n1\n2099-2104\n2\n2105-2110\n3-4\n2111-2116\n5-9\n2117-2122\n10 plus\nYear Structure Built\n2123-2128\n1950-1960\n2129-2134\n1940-1949\n2135-2140\nBefore 1940\nOwner Occupied\n2141-2146\n1950-1960\n2147-2152\n342\nBefore 1950\n29\nReproduced at the National Archives\n12\nBytes\nField\nBasements\n2153-2158\nBasement\n2159-2164\nConcrete slab\n2165-2170\nOther\nHeating Equipment\n2171-2176\nSteam or hot water\n2177-2182\nWarm air furnace\n2183-2188\nBuilt-in room units\n2189-2194\nOther, with flue\n2195-2200\nOther, without flue\n2201-2206\nNone\nNumber of Persons in Household, Owner Occupied\n2207-2212\nt1\n2213-2218\nN/\n2\n2219-2224\n3\n2225-2230\n14\n2231-2236\n15\n2237-2242\n16\n2243-2248\n17\n2249-2254\n\"8 plus\nNumber of Persons in Household, Renter Occupied\n2255-2260\n1\n2261-2266\n2267-2272\n3\n2273-2278\n&\n2279-2284\n5\n2285-2290\n6\n2291-2296\n7\n2297-2302\n8 plus\nPersons per Room\n2303-2308\nUnder 0.51 .\n2309-2314\n0.51-0.75\n2315-2320\n0.76-1\n2321-2326\n1.01 plus\nYear Moved into Unit (Total)\n2327-2332\n1958-1960\n2333-2338\n1954-1957\n2339-2344\n1940-1953\n375\nReproduced 2345-2350 at the National ArchiBefore 1940\n30\n13\nBytes\nField\nYear Moved into Unit-Owner Occupied\n$\n2351-2356\n1958-1960\n2357-2362\n1954-1957\n2363-2368\nBefore 1954\nAutos Available (Occupied_Units-Only).\n2369-2374\nNone\n2375-2380\n1\n2381-2386\n2\n2387-2392\n3 plus\nValue of Property (Total)\n2393-2398\nUnder $5,000\n2399-2404\n$5,000-$7,400\n2405-2410\n4$7,500-$9,900\n1\n2411-2416\n$10,000-$12, 400\n2417-2422\n$12,500-$14,900\n2423-2428\n$15,000-$17,400\n2429-2434\n$17,500-$19,900\n2435-2440\n$20,000-$24,900\n2441-2446\n$25,000-$34,900\n2447-2452\nV$35,000 plus\nGross Rent (Total)\n2453-2458\nUnder $20\n2459-2464\n$20-$29\n2465-2470\n$30-$39\n2471-2476\n$40-$49\n2477-2482\n$50-$59\n2483-2488\n$60-$69\n2489-2494\n$70-$79\n2495-2500\n$80-$89\n2501-2506\n$90-$99\n2507-2512\n$100-$119\n2513-2518\n$120-$149\n2519-2524\n$150-$199\n2525-2530\n$200 plus\nContract Rent\n2531-2536\nUnder $20\n2537-2542\n$20-$29\n2543-2548\n408\n$30-$39\nReproduced at the National Archives\n31\n14\nVar No.\nBytes\nField\n10?\n2549-2554\n$40-$49\n2555-2560\n$50-$59\n2561-2566\n$60-$69\n2567-2572\n$70-$79\n2573-2578\n$80-$89\n2579-2584\n$20-$99\n2585-2590\n$400-$119\n2591-2596\n$120-$149\n2597-2602\n$150 plus\n2603-2608\nNo cash rent\nStories and Elevators\n2609-2614\n3 stories or less\n2615-2620\n4 plus with elevator\n2621-2626\n4 plus without elevator\nTrailers\n2627-2632\nMobile\n2633-2638\nPermanent foundations\nSource of Water\n2639-2644\nPublic system or private company\n2645-2650\nConnected to public sewer\n2651-2656\nIndividual well\n2657-2662\nOther or none\nSewerage Disposal\n2663-2668\nPublic sewer\n2669-2674\nSeptic tank or cesspool\n2675-2680\nOther or none\n2681-2686\nExcess housing capacity\nHeating Fuels for Occupied Units\n2687-2692\nCoal or coke\n2693-2698\nWood\n2699-2704\nUtility gas\n2705-2710\nBottled, tank or LP gas\n2711-2716\nElectricity\n2717-2722\nFuel oil, kerosene\n2723-2728\nOther\n2729-2734\nNo fuel\n439\nReproduced at the National Archives\n32\n2 1962\n962\n1794\nU.S. CENSUSES OF POPULATION\nAND HOUSING , 1960 :\nFinal Report PHC(1) It\nCENSUS TRACTS,\n11. Austin,\n52\nTex\nStandard Metropolitan Statistical Area\n4) [1962.] 5) IVT + 42+ [2] p. il.\nPrepared under the supervision of\nHOWARD G. BRUNSMAN, Chief\nPopulation Division, and\nWAYNE F. DAUGHERTY, Chief\nHousing Division\nDIPARTMENT OF COMMERCE\nU.S-DEPARTMENT-OF COMMERCE Lept\nLuther: H Hodges, Secretary\n*\n*\nBUREAU OF THE-CENSUS Buredu,\nUNITED AMERICA\nSTATES OF\nRichard M. Scammon, Director (From May 1, 1961)\nRobert W. Burgess, Director (To March 3, 1961)\n33\nReproduced at the National Archives\nDEPARTMENT\nOF\nCOMMERCE\nCERTIFY\nOF\nTHE\nU.S. DEPARTMENT OF COMMERCE\nBUREAU OF THE CENSUS\nRICHARD M. SCAMMON, Director\nA. Ross ECKLER, Deputy Director\nHOWARD C. GRIEVES, Assistant Director\nCONRAD TAEUBER, Assistant Director\nMORRIS H. HANSEN, Assistant Director for Research and Development\nCHARLES B. LAWRENCE, JR., Assistant Director for Operations\nWALTER L. KEHRES, Assistant Director for Administration\nCALVERT L. DEDRICK, Chief, International Statistical Programs Office\nA. W. VON STRUVE, Public Information Officer\nPopulation Division-\nHOWARD G. BRUNSMAN, Chief\nHENRY S. SHRYOCK, JR., Assistant Chief\nDAVID L. KAPLAN, Decennial Census Planner\nSIGMUND SCHOR, Systems Coordinator\nHousing Division-\nWAYNE F. DAUGHERTY, Chief\nDANIEL B. RATHBUN, Assistant Chief\nBEULAH WASHABAUOH, Special Assistant\nMILTON D. LIBBERMAN, Chief, Coordination and Research\nDecennial Operations Division-Morton A. MEYER, Chief\nField Division-JBPPBRSON D. McPiKE, Chief\nGeography Division-WILLIAM T. FAY, Chief\nStatistical Methods Division-JosepH STEINBERG, Chief\nLibrary of Congress Card Number: A61-9354\nThe figures in this report supersede the figures for corresponding items shown in table PH-1 which\nwas distributed in unpublished form during the first half of 1961.\nSUGGESTED CITATION\nU.S. Bureau of the Census. U.S. Censuses of Population and Housing: 1960. Census Tracts.\nFinal Report PHC(1)-11.\nU.S. Government Printing Office, Washington, D.C., 1962.\nFor sale by the Superintendent of Documents, U.S. Government Printing Office, Washington 25, D.C.\nor any of the Field Offices of the Department of Commerce - Price 40 cents.\n34\nReproduced at the National Archives\nPREFACE\nThis report presents statistics by census tracts from the 1960 Censuses of Population and Housing. Legal provision for these cen-\nsuses, which were conducted as of April 1, 1960, was made in the Act of Congress of August 31, 1954 (amended August 1957), which codified\nTitle 13, United States Code.\nCensus tracts are small, permanently established, geographical areas into which large cities and adjacent areas have been divided for\nstatistical purposes. The boundaries of tracts are developed by a local committee and approved by the Bureau of the Census. For all\nareas where census tracts are established, a Census Tract Key Person is appointed by the Director of the Census to serve as the representa-\ntive of the Bureau to the local committee on all matters concerning census tracts. Usually he is chairman or secretary of the local census\ntract committee. The historical background of the concept of census tracts and a more detailed definition are given in the Introduction\nto this report.\nThe PHC(1) publication series consists of 180 reports and provides data for approximately 23,000 census tracts. The areas covered\nby these reports are listed on page 12. A description of the other final reports from the 1960 Censuses of Population and Housing is\npresented on pages 11 and 12.\nThe census program was designed in consultation with a number of advisory committees and many individuals in order to maximize\nthe usefulness of the data. Among the groups organized for this purpose were the Council of Population and Housing Census Users,\nTechnical Advisory Committee for the 1960 Population Census, Housing Advisory Committee, and the Federal Agency Population and\nHousing Census Council (sponsored by the U.S. Bureau of the Budget). The persons who served with these groups represented a wide\nrange of interest in the census program; their affiliations included universities, private industry, research organizations, labor groups,\nFederal agencies, State and local governments, and professional associations.\nACKNOWLEDGMENTS\nA large number of persons participated in the various activities of the 1960 Censuses of Population and Housing. Primary responsi-\nbilities were exercised by many of the persons listed on the preceding page. Within the Population, Housing, Decennial Operations, Field,\nGeography, and Statistical Methods Divisions, most of the staff members worked on this program.\nThe following members of the Population Division had a major role in planning the content of this series of reports: Stuart H. Gar-\nfinkle, Paul C. Glick, Selma F. Goldsmith, and Henry D. Sheldon. Within the Housing Division, Alexander Findlay, J. Hugh Rose, and\nHerbert Shapiro had major roles in planning the content; and Nathan Krevor supervised the operational aspects of the housing portion of\nthis series of reports. The technical editorial work was performed by Mildred M. Russell, Leah S. Anderson, and Louise L. Douglas of the\nPopulation Division.\nImportant contributions were made by Glen S. Taylor, then Chief, Richard A. Hornseth, Denver K. Ingram, and Willard P. Hess\nof the Decennial Operations Division in the processing and compilation of the statistics; Robert B. Voight, then Chief, Ivan Munro, and\nPaul R. Squires of the Field Division in the collection of the information; Robert C. Klove, Robert L. Hagan, and Toshi Toki of the\nGeography Division in the delineation and mapping of tracts; and Robert Hanson and Herman Fasteau of the Statistical Methods\nDivision in the sampling and quality control operations.\nImportant contributions were also made by Lowell T. Galt and Herman P. Miller of the Office of the Director, and by the staffs of\nthe Administrative Service Division, Everett H. Burke, Chief; Budget and Management Division, Charles H. Alexander, Chief; Census\nOperations Office, Robert D. Krook, Executive Officer; Electronics Systems Division, Robert F. Drury, Chief; Personnel Division, James P.\nTaff, Chief; and Statistical Research Division, William N. Hurwitz, Chief.\nJanuary 1962.\nIII\nReproduced at the National Archives\n35\nCONTENTS\nINTRODUCTION\nPage\nPage\nGeneral\n1\nHousing characteristics-Continued\nDefinition of census tract\n1\nVacant housing unit\n5\nHistorical background\n1\nTenure\n6\nDescription of tables\n1\nColor and ethnic group\n6\nDescription of tracted area\n2\nPersons\n6\nComparability from census to census\n2\nPersons per room\n6\nAvailability of unpublished data\n2\nYear moved into unit\n6\nMedian\n3\nUnits in structure\n6\nStandard metropolitan statistical area (SMSA)\n3\nYear structure built\n6\nDefinitions and explanations\n3\nBasement\n6\nPopulation characteristics\n3\nRooms\n6\nRace and color\n3\nCondition and plumbing\n6\nNativity and parentage\n3\nBathroom\n7\nPersons of Spanish surname and Puerto Ricans\n3\nHeating equipment\n7\nForeign stock and country of origin\n3\nAutomobiles available\n7\nAge\n3\nValue\n7\nHousehold, group quarters, and relationship to head of\nContract rent\n7\nhousehold\n3\nGross rent\n7\nFarm residence\n7\nMarital status\n4\nMarried couple, family, and unrelated individual\n4\nSchool enrollment\n4\nCollection and processing of data\n7\nYears of school completed\n4\nCollection of data\n7\nResidence in 1955\n4\nElectronic processing\n8\nIncome in 1959\n4\nEditing\n8\nEmployment status\n4\nAccuracy of the data\n8\nOccupation, industry, and class of worker\n5\nPlace of work and means of transportation to work\n5\nSample design and sampling variability\n8\nHousing characteristics\n5\nSample design\n8\nLiving quarters\n5\nRatio estimation\n9\nOccupied housing unit\n5\nSampling variability\n9\nFinal reports of the 1960 Censuses of Population and Housing\n11\n12\nList of PHC(1) reports\nComparability of census tracts, 1960 and 1950\n13\nTABLES\nPopulation Characteristics\nPage\nTable\nP-1.-General characteristics of the population, by census tracts: 1960\n14\nP-2.-Age, color, and marital status of the population, by sex, by census tracts: 1960\n18\nP-3.-Labor force characteristics of the population, by census tracts: 1960\n26\nP-4.-Characteristics of the nonwhite population, for census tracts with 400 or more such persons: 1960\n30\nP-5.-General characteristics of the white population with Spanish surname, for census tracts with 400 or more such persons: 1960\n32\nHousing Characteristics\nH-1.-Occupancy and structural characteristics of housing units, by census tracts: 1960\n34\nH-2.-Year moved into unit, automobiles available, and value or rent of occupied housing units, by census tracts: 1960\n38\nH-3.-Characteristics of housing units with nonwhite household heads, for census tracts with 100 or more such units: 1960\n40\nH-4.-Characteristics of housing units with white household heads having Spanish surname, for census tracts with 400 or more\n42\nsuch units: 1960\nMap of the tracted area appears following the last page of tables.\nIV\nReproduced at the National Archives\n36\nCensus Tracts\nINTRODUCTION\nGENERAL\nboroughs or wards. At his request, the Bureau of the Census tab-\nulated census tract data from the 1910 Census for New York and\nThis report presents statistics by census tracts on population\nseven other cities with a population of over 500,000. Tract data\nand housing characteristics enumerated in the 1960 Censuses of\nwere again tabulated for the same 8 cities in 1920, and in 1930\nPopulation and Housing, taken as of April 1, 1960. The popu-\nthis number was increased to 18. In 1940, tract data were tabu-\nlation items are: Race and color, nativity and parentage, foreign\nlated for 60 cities, some with adjacent tracted areas; and, begin-\nstock and country of origin, age, relationship to head of household,\nning in 1940, housing data were added to the population data in\nmarital status, married couples and families, school enrollment,\nthe tract reports. In 1950, final reports were published for 64\nyears of school completed, residence in 1955, income in 1959,\ntracted areas, many of which included statistics for two or more\nemployment status, occupation, industry, class of worker, place\nlarge cities. By 1960, the program had expanded to include\nof work, and means of transportation to work. The housing\nreports for 180 tracted areas (of which 3 are in Puerto Rico).\nitems are: Tenure of housing unit, color of occupants, vacancy\nMuch of the credit for the growing interest in tract data belongs\nstatus, number of persons in the unit, persons per room, year\nto the late Howard Whipple Green of Cleveland. He aroused\nmoved into the unit, number of units in structure, year structure\nthe interest of research workers in numerous cities in the potential\nbuilt, basement in structure, number of rooms, condition and\nusefulness of tract statistics for the analysis of sociological, market-\nplumbing, number of bathrooms, heating equipment, automobiles\ning, and administrative problems. In his capacity as Chairman of\navailable, value of property, contract rent, and gross rent. Some\nthe Committee on Census Enumeration Areas of the American Statis-\nof these items were enumerated on a complete-count basis and\ntical Association for 25 years, he accepted the responsibility for\nothers were collected for a sample of persons and housing units\nappointing a Census Tract Key Person in each area where tracts\n(see section on \"Sample design\").\nwere established, for providing guidance on delineating and main-\nThe 1960 Censuses contained several innovations. One of\ntaining census tracts, and for maintaining a census tract library.\nthem was the use of forms which household members were asked\nThese duties were assumed by the Bureau of the Census in 1955.\nto complete-the Advance Census Report form for the complete-\nFor a further discussion of census tract data and their uses,\ncount items and, in the more populous sections of the country,\nsee U.S. Bureau of the Census, Census Tract Manual, Fourth\nthe Household Questionnaire for the sample items. Other innova-\nEdition, 1958, Government Printing Office, Washington 25, D.C.\ntions included the wider use of sampling and the extensive use\nDescription of tables.-Tables P-1, P-2, and P-3 present popu-\nof the electronic computer and related equipment to process the\ndata and produce the final tables. These innovations were\nlation characteristics and tables H-1 and H-2 present housing\ndesigned primarily to improve the quality of the statistics and to\ncharacteristics for all tracts. Tables P-4 and H-3 show popula-\ntion and housing data for nonwhite persons. Tables P-5 and\nreduce the time required to collect and publish the data; at the\nH-4 show population and housing data for white persons with\nsame time, they have introduced an element of difference between\nthe 1960 statistics and those of earlier censuses. Innovations\nSpanish surname in the tracted areas of Arizona, California,\nare discussed in later sections of this report and in more detail in\nColorado, New Mexico, and Texas. In all other States, tables\n1960 Census of Population, Volume I, Characteristics of the Popu-\nP-5 and H-4 show population and housing data for persons of\nlation, and in 1960 Census of Housing, Volume I, States and Small\nPuerto Rican birth or parentage. Tables P-4, P-5, H-3, and H-4 are\nAreas.\npresented only when there are at least 5,000 persons in the par-\nticular group in the standard metropolitan statistical area. Fur-\nDefinition of census tract.-Census tracts are small areas into\nthermore, data are shown in tables P-4 and P-5 only for tracts\nwhich large cities and adjacent areas have been divided for\nwith 400 or more of these persons; in table H-3 for tracts con-\nstatistical purposes. Tract boundaries were established coopera-\ntaining 100 or more housing units with nonwhite persons as house-\ntively by a local committee and the Bureau of the Census, and\nhold heads; and in table H-4 for tracts with 400 or more units\nwere generally designed to be relatively uniform with respect to\nwith heads that are Puerto Ricans or white persons with Spanish\npopulation characteristics, economic status, and living conditions.\nsurname. In table H-3, only data from the 100-percent tabula-\nThe average tract has about 4,000 residents. Tract boundaries\ntions are shown for tracts with fewer than 400 nonwhite occupied\nare established with the intention of being maintained over a long\nunits.\ntime 80 that comparisons may be made from census to census.\nIn tables P-4, P-5, H-3, and H-4, a tract may appear in the\nIn the decennial censuses, the Bureau of the Census tabulates\npopulation tables but not in the housing tables, and vice versa,\npopulation and housing information for each census tract. The\ndepending on whether or not the criteria for presentation are met.\npractice of local agencies to tabulate locally collected data by\nThe \"total\" columns (for the SMSA, counties, cities, etc.) include\ntracts has increased the value of census tract data in many areas.\nstatistics for those tracts which are omitted from the tables because\nHistorical background.-The concept of census tracts was origi-\nthey have fewer than the specified number of persons or housing\nnated by the late Dr. Walter Laidlaw in New York City in 1906.\nunits. These totals, therefore, are not necessarily the sum of the\nHe was convinced of the need for data for homogeneous subdi-\nfigures for the tracts that are shown in the tables. Moreover,\nvisions of cities as a basis for studying neighborhoods smaller than\nin the \"total\" columns of tables P-4, P-5, H-3, and H-4, the\n1\nReproduced at the National Archives\n37\n2\nCensus Tracts\nnumber of persons or housing units is shown but data on charac-\nas possible, the numbers are consecutive within each city, com-\nteristics are suppressed if there are fewer than the specified number\nmunity, township, and the like. A tract number followed by the\nof cases.\nsymbol \"CV\" indicates that the statistics are for crews of vessels\nIn order to avoid disclosure of information for individual per-\nonly; these statistics are not included in the statistics for the rest\nsons or housing units, characteristics other than value and rent\nof the tract. In 1950, data for crews of vessels were included in\nare not shown for a tract if the total number of persons or hous-\nthe data for the entire tract.\ning units in the tract is four or fewer. Data on value of property\nComparability from census to census.-One of the objectives\nare not shown for a tract if there are four or fewer owner-occupied\nof providing statistics by tracts is to preserve comparability.\nhousing units of the type for which value of property is presented.\nKeeping tract boundaries unchanged from census to census makes\nLikewise, data on rent are not shown if there are four or fewer\npossible the study of changes in social and economic characteristics\nrenter-occupied nonfarm housing units. However, the data on\nof neighborhoods. Though the character of the people and land\ncharacteristics not shown for such tracts are included in the totals\nuse within a tract may change with time, the principle of per-\nfor the city or other area.\nmanent boundaries is ordinarily given priority over the principle\nMedians are not shown where the base is smaller than the\nof internal homogeneity. Major revisions in the tract plan for\nminimum required. For items tabulated on a complete-count\na whole city or county are, therefore, rarely made. There are,\nbasis, the median is not shown if the base is less than 50 persons\nnonetheless, several situations where boundaries of individual\nor housing units; for items tabulated from a sample, the median\ntracts are changed. For example, it is sometimes necessary to\nis suppressed if the base is less than 200 persons or housing units.\nchange the boundaries of tracts to add small areas annexed to a\nLeaders (...) in a data column indicate that either there are\ncity. Similarly, changes in tract boundaries occur when territory\nno cases in the category or the data are suppressed as described\nis detached from a city or separately incorporated. Changes may\nabove. In addition, in table H-3, data for items based on a sam-\nalso occur in physical features that are used as tract boundaries,\nple are suppressed in tracts with fewer than 400 housing units\nsuch as street or highway relocations. The census tract limits\nwith nonwhite heads; and in table H-2, data on automobiles are\nare changed to conform with the revised feature or to follow\nsuppressed in individual tracts where the information was based\nanother nearby visible feature. Census tracts with very large\nwholly or partly on a 5-percent sample (see table A in the\nincreases in population are subdivided into two or more smaller\nsection on \"Sample design\").\ntracts. On the other hand, a re-examination of the existing tract\nDescription of tracted area.-The map included in this report\nboundaries may result in modifications of boundaries to provide\nidentifies the boundaries of the area for which the tract statistics\nlarger or more homogeneous units.\nare presented. The map also identifies the location and number\nA number of population and housing characteristics which were\nof each tract and, when appropriate, the limits of cities, town-\nnot reported for 1950 are included in this report. Population items\nships, counties, or other subdivisions of the tracted area. If only\nshown in the 1960 tract reports, but not in the 1950 reports, are\na part of the standard metropolitan statistical area (SMSA) is\nschool enrollment, industry, means of transportation to work, and\ntracted, the map shows only the tracted portion; in the tables,\nplace of work. Housing items added in 1960 are number of\nhowever, totals are shown for the entire SMSA.\nrooms, bathrooms, heating equipment, year moved into unit,\nMost of the tracted areas constitute entire SMSA's. Some\nautomobiles available, basement in structure, and gross rent.\ntracted areas, however, consist of only a part of the SMSA or\nA few housing items which appeared in the 1950 tabulations for\nonly the central city. A few include all or part of the SMSA\ncensus tracts have been omitted from the 1960 reports, either\nplus an adjoining area outside it, and two (Middlesex and Somer-\nbecause no information was collected in the 1960 Census or be-\nset Counties, New Jersey) comprise counties which were within\ncause alternative data were considered more valuable for the\nan SMSA when they were divided into census tracts but were\nprogram by users of tract statistics. Items omitted are type\nremoved from the SMSA as a result of a change in boundary\nof structure, refrigeration equipment, television, and heating\ndefinitions.\nfuel.\nWithin each table, the first set of columns presents totals for\nIn addition to showing data on new items, the 1960 tract reports\nthe SMSA, the component counties, cities and other urban places\ninclude more detail on many of the 1950 items. For example,\nhaving a population of 25,000 or more, and \"balances\" of the\ndata on marital status are shown separately for the nonwhite\nSMSA. Following the totals, data for individual tracts are shown\npopulation in 1960, whereas in 1950 these data were shown only\nfor the component parts which are tracted. If the report presents\nfor the total population; and the detail about persons per room has\ndata for tracts adjacent to the SMSA, they are shown after the\nbeen expanded to show four categories rather than just one.\ntracts within the SMSA. (Unincorporated places are designated\nFurthermore, there were some changes in concepts and procedures.\nby the letter \"U\" following the place name, and urban towns\nThese changes may affect comparisons between the 1960 and\nand townships by \"UT\".)\n1950 statistics.\nStatistics for the central county (the county containing the\nAvailability of unpublished data.-Photocopies of tabulated but\ncentral city of the SMSA) are presented ahead of those for the\nunpublished data for census tracts can be provided at cost. For\nother counties in the area. Within a county, any central city is\npopulation items, the tabulated material covers farm-nonfarm\nfirst, followed by other cities and urban places, arranged alpha-\nresidence of the rural population, characteristics of persons 14\nbetically, and finally the balance of the county. If the balance\nyears old and over not in the labor force, class of worker of farm\nof the county is only partially tracted, it is shown in two parts-\nworkers, and greater detail than shown here on place of residence\ntracted balance and untracted balance.\nin 1955 and place of work. Unpublished housing data cover farm-\nWhen a tract crosses the boundary of an urban place of 25,000\nnonfarm residence and tenure of rural housing units, type of\ninhabitants or more, statistics for the portion of the tract which\ntrailers, source of water, method of sewage disposal, year structure\nlies inside the city are shown with the figures for the city; sta-\nwas built and year moved into the unit for owner-occupied units,\ntistics for the remainder of the tract are shown in the tracted\nand number of stories and presence of elevator in the structure.\nbalance. The totals for each of these tracts appear at the end\nFor all tracts, data are available for nonwhites on household\nof the table. Separate statistics on nonwhites, Puerto Ricans,\nrelationship, condition and plumbing facilities of the housing unit,\nand white persons of Spanish surname are shown for the tract\nnumber of persons and number of rooms in the unit, and persons\ntotal and for each part of a split tract which qualifies under the\nper room. For tracts with a specified number of nonwhites, the\ncriteria for presentation of such data.\nunpublished tabulations include the greater detail for nonwhites\nTracts are generally numbered in a consecutive series, with\non place of residence in 1955 and farm-nonfarm residence of rural\nseparate series for the central city and for each county. Insofar\nhousing units by tenure. For tracts with a specified number of\nReproduced at the National Archives\n7 or\nIntroduction\n3\nPuerto Ricans or white persons with Spanish surname, they include\ndescent, the category \"Negro\" includes persons of mixed Indian\nyear moved into unit for these groups.\nand Negro descent unless the Indian ancestry very definitely\nRequests for unpublished statistics should be addressed to the\npredominates or unless the person is regarded as an Indian in the\nChief, Population Division, or the Chief, Housing Division, Bureau\ncommunity.\nof the Census, Washington 25, D.C.\nNativity and parentage.-The category \"native\" comprises\nMedian.-The median is presented in connection with the data\npersons born in the United States, the Commonwealth of Puerto\non age, years of school completed, income, number of persons,\nRico, or a possession of the United States; persons born in a foreign\nnumber of rooms, and value or rent of the unit. The median is\ncountry or at sea who have at least one native American parent;\nthe theoretical value which divides the distribution into two equal\nand persons whose place of birth was not reported and whose\nparts-one-half the cases falling below this value and one-half the\ncensus report contained no contradictory information, such as an\ncases exceeding this value.\nentry of a language spoken prior to coming to the United States.\nA plus (+) or minus (-) sign after the median indicates that\nThe category \"foreign born\" comprises all persons not classified\nas native.\nthe median is above or below that number. For example, a\nmedian of \"$5,000-\" for value of property indicates that the\nNative persons of native parentage comprise native persons,\nmedian fell in the interval \"less than $5,000\" and was not com-\nboth of whose parents are also natives of the United States.\nputed from the data as tabulated.\nNative persons of foreign or mixed parentage comprise native\nStandard metropolitan statistical area (SMSA).-Except in New\npersons, one or both of whose parents are foreign born.\nEngland, an SMSA is a county or group of contiguous counties\nPersons of Spanish surname and Puerto Ricans.-In order to\nwhich contains at least one city of 50,000 inhabitants or more, or\nobtain data on Spanish- and Mexican-Americans for areas of the\n\"twin cities\" with a combined population of at least 50,000. In\nUnited States where most of them live, white persons (and white\naddition to the county, or counties, containing such a city or cities,\nheads of households) of Spanish surname were distinguished\ncontiguous counties are included in an SMSA if, according to\nseparately in five Southwestern States (Arizona, California,\ncertain criteria, they are essentially metropolitan in character and\nColorado, New Mexico, and Texas). In all other States, Puerto\nare socially and economically integrated with the central city.\nRican persons (and heads of households) were identified. Puerto\nIn New England, SMSA's consist of towns and cities, rather than\nRicans comprise persons born in Puerto Rico and persons of native\ncounties.\nparentage with at least one parent born in Puerto Rico.\nDefinitions and explanations.-Some of the definitions used in\nForeign stock and country of origin.-The foreign-born popula-\n1960 differ from those used in 1950. These changes were made\ntion is combined with the native population of foreign or mixed\nafter consultation with users of census data in order to improve\nparentage in a single category termed \"foreign stock.\" In this\nthe statistics even though it was recognized that comparability\nreport, persons of foreign stock are classified according to their\nwould be affected.\ncountry of origin. Natives of foreign parentage whose parents\nThe definitions and explanations should be interpreted in the\nwere born in different countries are classified according to the\ncontext of the 1960 Censuses, in which data were collected by a\ncountry of birth of the father. Natives of mixed parentage are\ncombination of self-enumeration, direct interview, and observa-\nclassified according to the country of birth of the foreign-born\ntion by the enumerator. Some of the information required for\nparent. The classification by country of origin is based on inter-\nidentifying separate housing units was obtained by the enumerator\nnational boundaries as recognized by the United States Govern-\nas part of the procedure for securing complete coverage of all\nment on April 1, 1960, although there may have been some devia-\nliving quarters. Furthermore, the condition of a unit was deter-\ntion from the rules where respondents were unaware of changes\nmined solely by the enumerator through his observation. The\nin boundaries or jurisdiction.\nremaining items were completed by self-enumeration, or by direct\nAge.-The age classification is based on the age of the person in\ninterview when the household member did not complete the\ncompleted years as of April 1, 1960, as determined from the reply\nself-enumeration forms.\nto a question on month and year of birth.\nThe definitions below are consistent with the instructions given\nHousehold, group quarters, and relationship to head of house-\nto the enumerator. As in all surveys, there were some failures\nhold.-A household consists of all the persons who occupy a\nto execute the instructions exactly. Through the forms distrib-\nhousing unit (see definition of housing unit in section below on\nuted to households, the respondents were given explanations of\n\"Living quarters\"). The population per household is obtained\nsome of the questions more uniformly than would have been given\nby dividing the population in households by the number of house-\nin direct interviews. Nevertheless, it was not feasible to give the\nholds. The population per household is not shown for nonwhite\nfull instructions to the respondents, and some erroneous replies\npersons in tracts where most of the nonwhite persons live in the\nhave undoubtedly gone undetected.\nhomes of white persons as \"nonrelatives\"; these persons perform\nMore complete discussions of the definitions of population\ndomestic service work, live as lodgers while attending college, or\nitems are given in the reports in Series PC(1)-B (for complete-\nhave some other special living arrangement.\ncount items) and in Series PC(1)-C (for sample items). These\nAll persons who are not members of households are classified\nreports constitute chapters B and C of each State part of 1960\nas living in group quarters. Most of the persons in group quarters\nCensus of Population, Volume I, Characteristics of the Population.\nlive in rooming houses, college dormitories, military barracks, or\nLikewise, more complete discussions of housing items are given\ninstitutions. Inmates of institutions are persons for whom care\nin 1960 Census of Housing, Volume I, States and Small Areas.\nor custody is provided in such places as homes for delinquent or\ndependent children; homes and schools for the mentally or physi-\nPOPULATION CHARACTERISTICS\ncally handicapped; places providing specialized medical care for\npersons with mental disorders, tuberculosis, or other chronic dis-\nRace and color.-The three major race categories distinguished\nease; nursing and domiciliary homes for the aged and dependent;\nin this report are white, Negro, and other races. Among persons\nprisons; and jails.\nof \"other races\" are American Indians, Japanese, Chinese, Fili-\npinos, Koreans, Asian Indians, and Malayans. Negroes and\nFor persons in households, five categories of relationship to head\npersons of \"other races\" taken together constitute \"nonwhite\"\nof household are recognized in this report:\npersons. Persons of Mexican birth or descent who are not\n1. The head of the household is the member reported as the\nhead by the household respondent. However, if a married woman\ndefinitely of Indian or other nonwhite race are classified as white.\nliving with her husband is reported as the head, her husband is\nIn addition to persons of Negro and of mixed Negro and white\nclassified as the head for the purpose of census tabulations.\nReproduced at the National Archives\n39\n4\nCensus Tracts\n2. The wife of a head of a household is a woman married to\nof schooling was measured by \"readers,\" or whose training by a\nand living with a household head. This category includes women\ntutor was regarded as qualifying under the \"regular\" school defi-\nin common-law marriages as well as women in formal marriages.\nnition. Persons were to answer \"No\" to the second question if\n3. The children under 18 of the household head are the head's\nsons and daughters under 18 years old and also his stepchildren\nthey were attending school, had completed only part of a grade\nand adopted children of this age group.\nbefore they dropped out, or failed to pass the last grade attended.\n4. \"Other relative of head,\" in this report, includes all persons\nResidence in 1955.-Residence on April 1, 1955, is the usual\nwho are related to the head of the household by blood, marriage,\nor adoption except those in the categories \"wife of head\" and\nplace of residence five years prior to the enumeration. The cate-\n\"children under 18 of head.\"\ngory \"same house as in 1960\" includes all persons 5 years old and\n5. A nonrelative of the head is any member of the household\nover who were reported as living in the same house on the date of\nwho is not related to the household head by blood, marriage, or\nenumeration in 1960 and five years prior to the enumeration.\nadoption. Lodgers, partners, resident employees, wards, and\nfoster children are included in this category.\nIncluded in the group are persons who had never moved during the\nfive years as well as those who had moved but by 1960 had re-\nMarital status.-This classification refers to the person's marital\nturned to their 1955 residence. The category \"different house\nstatus at the time of enumeration. Persons classified as \"married\"\nin the U.S.\" includes persons who, on April 1, 1955, lived in the\ncomprise, therefore, both those who have been married only once\nUnited States in a different house from the one they occupied on\nand those who remarried after having been widowed or divorced.\nApril 1. 1960. For tracted areas in SMSA's, persons in this cate-\nThe enumerators were instructed to report persons in common-law\ngory are subdivided into several groups according to their 1955\nmarriages as married and persons whose only marriage had been\nresidence, viz., \"central city of this SMSA,\" \"other part of this\nannulled as single. Separated persons are included in the count of\nSMSA,\" and \"outside this SMSA.\" The category \"abroad\"\nmarried persons.\nincludes those with residence in 1955 in a foreign country, in the\nMarried couple, family, and unrelated individual.-In 1960, a\nCommonwealth of Puerto Rico, or in a possession of the United\nmarried couple is defined as a husband and wife enumerated as\nStates. For tracted areas in Somerset and Middlesex Counties,\nmembers of the same household. Data are not available for the\nNew Jersey, the categories of residence in 1955 for those living in\nvery small number of married couples living as inmates of institu-\na different house in the United States are: \"Same county,\"\ntions or as other members of group quarters. A married couple\n\"different county, same State,\" and \"different county, different\nwith own household is a married couple in which the husband is\nState.\"\na household head.\nAn \"own child\" of a married couple is defined as a single (never\nIncome in 1959.-Information on income for the calendar year\nmarried) son, daughter, stepchild, or adopted child of the couple.\n1959 was requested from all persons 14 years old and over in the\nPersons under 18 living with both parents include stepchildren\nsample. \"Total income\" is the sum of amounts reported sepa-\nand adopted children as well as sons and daughters born to the\nrately for wage or salary income, self-employment income, and\nother income. Wage or salary income is defined as the total\ncouple.\nA family consists of two or more persons in the same household\nmoney earnings received for work performed as an employee.\nwho are related to each other by blood, marriage, or adoption; all\nIt represents the amount received before deductions for personal\nincome taxes, Social Security, bond purchases, union dues, etc.\npersons living in one household who are related to each other are\nregarded as one family. In a primary family, the head of the\nSelf-employment income is defined as net money income (gross\nfamily is the head of a household. Other families are secondary\nreceipts minus operating expenses) from a business, farm, or\nfamilies. An unrelated individual is a member of a household\nprofessional enterprise in which the person was engaged on his\nwho is not related to anyone else in the household, or is a person\nown account. Other income includes money income received\nliving in group quarters who is not an inmate of an institution. A\nfrom such sources as net rents, interest, dividends, Social Security\nhead of a household living alone or with nonrelatives only is a\nbenefits, pensions, veterans' payments, unemployment insurance,\nprimary individual.\nand public assistance or other governmental payments, and\nperiodic receipts from insurance policies or annuities. Not in-\nSchool enrollment.-School enrollment is shown for persons 5\ncluded as income are money received from the sale of property\nto 34 years old. Persons were included as enrolled in school if\n(unless the recipient was engaged in the business of selling such\nthey were reported as attending or enrolled in a \"regular\" school\nproperty), the value of income \"in kind,\" withdrawals of bank\nor college at any time between February 1, 1960, and the time of\ndeposits, money borrowed, tax refunds, and gifts and lump-sum\nenumeration. Regular schooling is that which may advance a\ninheritances or insurance payments. Although the time period\nperson toward an elementary school certificate or high school di-\ncovered by the income statistics is the calendar year 1959, the\nploma, or a college, university, or professional degree. Schooling\ncomposition of families refers to the time of enumeration. For\nthat was not obtained in a regular school and schooling from a\nmost of the families, however, the income reported was received\ntutor or through correspondence courses were counted only if the\nby persons who were members of the family throughout 1959.\ncredits obtained were regarded as transferable to a school in the\nregular school system. Schooling which is generally regarded as\nEmployment status.-The data on employment status relate to\nnot regular includes that which is given in nursery schools; in\nthe calendar week prior to the date on which the respondents\nspecialized vocational, trade, or business schools; in on-the-job\nfilled their Household Questionnaires or were interviewed by enu-\ntraining; and through correspondence courses.\nmerators. This week is not the same for all respondents because\nnot all persons were enumerated during the same week.\nElementary school, as defined here, includes grades 1 to 8, and\nhigh school includes grades 9 to 12. College includes junior or\nEmployed persons comprise all civilians 14 years old and over\ncommunity colleges, regular 4-year colleges, and graduate or\nwho were either (a) \"at work\"-those who did any work for pay\nprofessional schools. In general, a \"public\" school is defined as\nor profit, or worked without pay for 15 hours or more on a family\nany school which is controlled and supported primarily by a local,\nfarm or in a family business; or (b) were \"with a job but not at\nState, or Federal agency. All other schools are \"private\" schools.\nwork\"-those who did not work and were not looking for work\nbut had a job or business from which they were temporarily\nYears of school completed.-The data on years of school com-\nabsent because of bad weather, industrial dispute, vacation, ill-\npleted were derived from the answers to the two questions: (a)\nness, or other personal reasons.\n\"What is the highest grade (or year) of regular school he has ever\nattended?\" and (b) \"Did he finish this grade (or year)?' Enu-\nPersons are classified as unemployed if they were 14 years old\nmerators were instructed to obtain the approximate equivalent\nand over and not \"at work\" but looking for work. A person is\ngrade in the American school system for persons whose highest\nconsidered as looking for work not only if he actually tried to find\nlevel of attendance was in an at ungraded National school, whose highest level\ngrade of attendance Reproduced was in a the foreign school Archives system, whose highest\n*See special note at bottom of page 10.\n40\nIntroduction\nwork but also if he had made such efforts recently (i.e., within\noccupants do not live and eat with any other persons in the struc\nthe past 60 days) and was awaiting the results of these efforts.\nture and there is either (1) direct access from the outside or throug\nPersons waiting to be called back to a job from which they had\na common hall or (2) a kitchen or cooking equipment for th\nbeen laid off or furloughed are also counted as unemployed.\nexclusive use of the occupants of the unit.\nThe \"civilian labor force\" includes all persons classified as\nOccupied quarters which do not qualify as housing units ar.\nemployed or unemployed, as described above. The \"labor force\"\nclassified as group quarters. They are located most frequentl:\nalso includes members of the Armed Forces (persons on active\nin institutions, hospitals, nurses' homes, rooming and boardin\nduty with the United States Army, Air Force, Navy, Marine\nhouses, military and other types of barracks, college dormitories\nCorps, or Coast Guard).\nfraternity and sorority houses, convents, and monasteries. Grou;\nPersons \"not in the labor force\" comprise all those 14 years\nquarters are also located in a house or apartment in which th\nold and over who are not classified as members of the labor force,\nliving quarters are shared by the person in charge and five o\nincluding persons doing only incidental unpaid family work (less\nmore persons unrelated to him. Group quarters are not include\nthan 15 hours during the week).\nin the housing inventory, although the count of persons living i:\nthem is included in the population figures.\nOccupation, industry, and class of worker.-The data on these\nThe inventory of housing units includes both vacant and occu\nthree subjects in this report are for employed persons and refer\npied units. Newly constructed vacant units were included in th.\nto the job held during the week for which employment status\ninventory if construction had reached the point that all the ex\nwas reported. For persons employed at two or more jobs, the\nterior windows and doors were installed and the final usable floor\ndata refer to the job at which the person worked the greatest\nwere in place. Dilapidated vacant units were included provide\nnumber of hours. The occupation and industry statistics pre-\nthey were still usable as living quarters; they were excluded i:\nsented here are based on the detailed systems developed for the\nthey were being demolished or if there was positive evidence tha\n1960 Census; see 1960 Classified Index of Occupations and In-\nthey were to be demolished.\ndustries, Government Printing Office, Washington 25, D.C.\nTrailers, tents, boats, and railroad cars were included in th,\nPlace of work and means of transportation to work.\"-Place of\nhousing inventory if they were occupied as housing units. They\nwork refers to the geographic location in which civilians at work\nwere excluded if they were vacant, used only for extra sleeping\nand Afmed Forces personnel not on leave, sick, etc., carried out\nspace or vacations, or used only for business.\ntheir occupational or job activities. These locations comprise, for\nthe purposes of this report, central cities, other selected cities,\nIn 1950, the unit of enumeration was the dwelling unit. Al\nremainders of central counties, and each of the additional counties\nthough the definition of the housing unit in 1960 is essentially\nwithin the standard metropolitan statistical area (SMSA). In the\nsimilar to that of the dwelling unit in 1950, the housing unit\nreports for Somerset and Middlesex Counties in New Jersey,\ndefinition was designed to encompass all private living quarters.\nhowever, the distributions are shown only within these respective\nwhereas the dwelling unit definition did not completely cover all\nprivate living accommodations. The main difference between\ncounties. In all cases, 13 specific places of work are available\nhousing units and dwelling units is as follows: In 1960, separat.\nin unpublished tabulations for each tract.\nliving quarters consisting of one room with direct access but with-\nPersons with more than one job were asked to report on the\nout separate cooking equipment qualify as a housing unit whether\njob at which they worked the greatest number of hours. If\nin an apartment house, rooming house, or house converted to\nsalesmen, deliverymen, and others who work in several places\napartment use; in hotels, a single room qualifies as a housing unit\neach week reported to a central headquarters, they were requested\nif occupied by a person whose usual residence is the hotel or &\nto name the place in which they began work each day. If work\nperson who has no usual residence elsewhere. In 1950, a one-room\nwas not begun at a central place each day, the person was asked\nunit without cooking equipment qualified as a dwelling unit only\nto report the city and county in which he had worked the greatest\nwhen located in a regular apartment house or when the room con-\nnumber of hours.\nstituted the only living quarters in the structure.\nMeans of transportation to work refers to the principal mode\nThe evidence thus far suggests that using the housing unit con-\nof travel or type of conveyance used in traveling to and from\ncept in 1960 instead of the dwelling unit concept as in 1950 had\nwork by civilians at work and Armed Forces personnel not on\nrelatively little effect on the counts for large areas and for the\nleave, sick, etc. For persons who used more than one means in\nNation. Any effect which the change in concept may have on\ndaily travel, the enumerator was instructed that \"principal means\"\ncomparability can be expected to be greatest in statistics for cer-\nreferred to the means of transportation covering the greatest\ntain census tracts and blocks. Living quarters classified as housing\ndistance. For persons who used different means on different days,\nunits in 1960 but which would not have been classified as dwelling\nthe enumerator was instructed that the proper response was the\nunits in 1950 tend to be clustered in tracts where many persons\nmeans of transportation used most frequently.\nlive separately in single rooms in hotels, rooming houses, and other\nlight housekeeping quarters. In such areas, the 1960 housing unit\nHOUSING CHARACTERISTICS\ncount for an individual tract may be higher than the 1950 dwelling\nunit count even though no units were added by new construction\nLiving quarters.-Living quarters were enumerated as housing\nor conversion.\nunits or group quarters. Occupied living quarters were classified\nOccupied housing unit.-A housing unit is \"occupied\" if it was\nas housing units or group quarters on the basis of information\nthe usual place of residence for the person or group of persons living\nsupplied by household members on the Advance Census Report\nin it at the time of enumeration. Included are units occupied by\nand questions asked by the enumerator where necessary. Identi-\npersons who were only temporarily absent (for example, on vaca-\nfication of vacant housing units was based partly on observation\ntion) and units occupied by persons with no usual place of residence\nby the enumerator and partly on information obtained from\nelsewhere.\nowners, landlords, or neighbors.\nVacant housing unit.-A housing unit is \"vacant\" if no persons\nA house, an apartment or other group of rooms, or a single\nwere living in it at the time of enumeration. However, if its occu-\nroom is regarded as a housing unit when it is occupied or intended\npants were only temporarily absent, the unit was considered occu-\nfor occupancy as separate living quarters, that is, when the\npied. Units temporarily occupied by persons having a usual place\nof residence elsewhere were considered vacant (classified as \"non-\n*See special note at bottom of page 10.\nresident\" units in 1950).\nReproduced at the National Archives\n41\n6\nCensus Tracts\nYear-round vacant units are those intended for occupancy at\nto the inventory during that period. The figures represent the\nany time of the year. Seasonal vacant units are those intended for\nnumber of units constructed during a given period plus the number\noccupancy during only a season of the year.\ncreated by conversions in structures originally built during that\nAvailable vacant units are those which are on the market for\nperiod, minus the number lost in structures built during the period.\nyear-round occupancy, are in either sound or deteriorating condi-\nLosses occur through demolition, fire, flood, disaster, and conver-\ntion, and are offered for rent or for sale. The group \"for sale only\"\nsion to nonresidential use or to fewer housing units.\nis limited to available units for sale only and excludes units \"for\nrent or sale.\" The group \"for rent\" consists of units offered \"for\nBasement.-Statistics on basements are presented in terms of\nrent\" and those \"for rent or sale.\" The 1960 category\nthe number of housing units located in structures built with a\n\"available vacant\" is comparable with the 1950 category \"vacant\nbasement, on a concrete slab, or in another way. \"Basement\" is\nnonseasonal not dilapidated, for rent or sale.\"\ndefined as enclosed space accessible to the occupants beneath all\nOther vacant units comprise the remaining vacant housing\nunits. They include dilapidated units, seasonal units, units rented\nor part of a structure and of sufficient depth 80 that an adult can\nor sold and awaiting occupancy, units held for occasional use, and\nwalk upright. Units built on a \"concrete slab\" have no base-\nunits held off the market for other reasons. This category is com-\nment and no crawl space or air space below the first floor. The\nparable with the 1950 category \"other vacant and nonresident.\"\ncategory \"other\" includes units in structures resting on a founda-\nTenure.-A housing unit is \"owner occupied\" if the owner or\ntion of posts, those built directly on the ground, and those having\nco-owner lives in the unit, even if it is mortgaged or not fully paid\nonly crawl space under the building to provide ventilation or\nfor. All other occupied units are classified as \"renter occupied,\"\naccessibility for service or repairs.\nwhether or not cash rent is paid. Examples of units for which no\nRooms.-The number of rooms is the count of whole rooms used\ncash rent is paid include units occupied in exchange for services\nfor living purposes, such as living rooms, dining rooms, bedrooms,\nrendered, units owned by relatives and occupied without payment\nkitchens, finished attic or basement rooms, recreation rooms,\nof rent, and units occupied by sharecroppers.\nlodgers' rooms, and rooms used for offices by a person living in\nColor and ethnic group.-Occupied housing units are classified\nthe unit. Not counted as rooms are bathrooms; halls, foyers,\nby the color or ethnic origin of the head of the household. (See\nor vestibules; closets; alcoves; pantries; strip or pullman kitchens;\nsections above on \"Race and color\" and \"Persons of Spanish\nlaundry or furnace rooms; unfinished attics, basements, and other\nsurname and Puerto Ricans.\")\nspace used for storage.\nPersons.-All persons enumerated in the 1960 Census of\nIn the computation of the median number of rooms, a contin-\nPopulation as members of the household were counted in deter-\nuous distribution was assumed, with the whole number of rooms\nmining the number of persons who occupied the housing unit.\nas the midpoint of the class interval. For example, when the\nThese persons include any lodgers, foster children, wards, and\nmedian was in the 3-room group, the lower and upper limits were\nresident employees who shared the living quarters of the household\nassumed to be 2.5 and 3.5 rooms, respectively. The median was\nhead.\ncomputed on the basis of the tabulation groups shown in the\nIn the computation of the median number of persons, a continu-\ntable. If the median falls in the category \"8 rooms or more,\"\nous distribution was assumed, with the whole number of persons as\nit is shown in the table as \"7.5+\" rooms.\nthe midpoint of the class interval. For example, when the median\nCondition and plumbing.-Data are presented on condition and\nwas in the 3-person group, the lower and upper limits were assumed\nplumbing facilities in combination. The categories represent\nto be 2.5 and 3.5 persons, respectively. The median may be based\nvarious levels of housing quality.\non a sample or on the complete count of units (see table A).\nThe enumerator determined the condition of the housing unit\nPersons per room.-The number of persons per room was com-\nby observation, on the basis of specified criteria. Nevertheless,\nputed for each occupied housing unit by dividing the number of\nthe application of these criteria involved some judgment on the\npersons by the number of rooms in the unit.\npart of the individual enumerator. The training program for\nYear moved into unit.-Data on year moved into unit are based\nenumerators was designed to minimize differences in judgment.\non the information reported for the head of the household. The\nSound housing is defined as that which has no defects, or only\nquestion relates to the year of latest move.\nslight defects which are normally corrected during the course\nUnits in structure.-A structure is defined as a separate building\nof regular maintenance.\nthat either has open space on all four sides, or is separated from\nDeteriorating housing needs more repair than would be pro-\nother structures by dividing walls that extend from ground to\nvided in the course of regular maintenance. It has one or more\nroof.\ndefects of an intermediate nature that must be corrected if the\nStatistics are presented in terms of the number of housing units\nunit is to continue to provide safe and adequate shelter.\nrather than the number of residential structures. However, the\nDilapidated housing does not provide safe and adequate shelter.\nnumber of structures for the first two categories may be derived.\nIt has one or more critical defects, or has a combination of inter-\nFor 1-unit structures (which include trailers), the number of\nmediate defects in sufficient number to require extensive repair\nhousing units and the number of structures are the same. For 2-\nor rebuilding, or is of inadequate original construction. Critical\nunit structures, the number of housing units is twice the number\ndefects result from continued neglect or lack of repair or indicate\nof structures. For the remaining categories, the number of struc-\nserious damage to the structure.\ntures cannot be derived from the data as tabulated.\nIn 1950, the enumerator classified each unit in one of two\nThe categories for number of housing units in the structure in\ncategories, not dilapidated or dilapidated, as compared with the\n1960 are not directly comparable with those in 1950, particularly\nthree categories of sound, deteriorating, and dilapidated in 1960.\nfor 1- and 2-unit structures. In the 1950 tract report, units in\nAlthough the definition of \"dilapidated\" was the same in 1960\ndetached or attached structures werc shown separately but those\nas in 1950, it is possible that the change in the categories introduced\nin semidetached structures containing 1 or 2 units were combined\nan element of difference between the 1960 and 1950 statistics.\ninto one category. Comparability between 1950 and 1960 data\nThe category \"with all plumbing facilities\" consists of units\nmay also be affected by the change in concept from dwelling unit\nwhich have hot and cold water inside the structure, and flush\nto housing unit.\ntoilet and bathtub (or shower) inside the structure for the exclusive\nYear structure built.-\"Year built\" refers to the date the original\nuse of the occupants of the unit. Equipment is for exclusive use\nconstruction of the structure was completed, not to any later\nwhen it is used only by the persons in one housing unit, including\nremodeling, addition, or conversion.\nany lodgers living in the unit.\nThe figures on the number of units built during a given period\nUnits \"lacking only hot water\" have all the facilities except\ndo\nnot\nnecessarily\nrepresent\nthe\nnumber\nof\nhousing\nunits\nadded\nhot water. Units \"lacking other plumbing facilities\" may or\n42\nIntroduction\n7\nmay not have hot water but lack one or more of the other specified\nIn the 1950 tract report, value was not published separately\nfacilities. Also included in this category are units whose occupants\nfor owner-occupied units (except for nonwhite owner-occupied\nshare toilet or bathing facilities with the occupants of another\nunits) but was shown in combination with vacant units available\nhousing unit. The combination of \"lacking only hot water\" and\nfor sale. In rural territory, value data excluded values for farm\n\"lacking other plumbing facilities\" is presented as \"lacking some\nunits but may have included some units on places of 10 acres or\nor all facilities\" in some census reports.\nmore.\nThe categories of plumbing facilities presented in the 1960\nContract rent.-Contract rent is the rent agreed upon regardless\nreport are not entirely comparable with those in the 1950 report.\nof any furnishings, utilities, or services that may be included.\nHowever, the 1950 category \"no private bath or dilapidated\"\nRenter-occupied units for which no cash rent was paid were\nis equivalent to the following 1960 categories: \"Dilapidated,\"\nexcluded from the computation of the median. In rural territory,\n\"sound, lacking other plumbing facilities,\" and \"deteriorating,\nrent data exclude rent for farm units.\nlacking other plumbing facilities.\"\nIn the 1950 tract report, contract rent was not published\nBathroom.-A housing unit is classified as having a bathroom if\nseparately for renter-occupied units (except for nonwhite renter-\noccupied units) but was shown in combination with vacant units\nit has a flush toilet and bathtub (or shower) for the exclusive use of\navailable for rent.\nthe occupants of the unit and also has hot water. The facilities\nmust be located inside the structure but need not be in the same\nGross rent.-The computed rent termed \"gross rent\" is the\nroom. Units which have an additional toilet or bathtub (or shower)\ncontract rent plus the average monthly cost of utilities (water,\nfor exclusive use are classified as having \"more than one bath-\nelectricity, gas) and fuels such as wood, coal, and oil if these items\nroom.\"\nare paid for by the renter in addition to contract rent. Thus,\ngross rent eliminates rent differentials which result from varying\nHeating equipment.-The main type of heating equipment was\npractices with respect to the inclusion of heat and utilities as part\nto be reported even if it was temporarily out of order at the time\nof the rental payment. In rural territory, rent data exclude rent\nof enumeration. For vacant units from which the heating equip-\nfor farm units.\nment had been removed, the equipment used by the last occupants\nwas to be reported.\nRenter-occupied units for which no cash rent was paid are\nshown separately in the tabulation but were excluded from the\n\"Steafn or hot water\" refers to a central heating system in\ncomputation of the median. The median was computed on the\nwhich heat from steam or hot water is delivered through radia-\nbasis of more detailed tabulation groups than are shown in\ntors or heating coils. \"Warm air furnace\" refers to a central\nthe tables.\nsystem which provides warm air through ducts leading to the\nFarm residence.-In rural territory, farm residence is deter-\nvarious rooms. \"Built-in room units\" are permanently installed\nmined on the basis of number of acres in the place and total sales\nheating units in floors, walls, or ceilings. They include floor, wall,\nof farm products in 1959. An occupied housing unit is classified\nor pipeless furnaces as well as built-in electrical units. Floor, wall,\nas a farm housing unit if it was located on a place of 10 or more\nand pipeless furnaces deliver warm air to immediately adjacent\nacres from which sales of farm products amounted to $50 or more\nrooms but do not have ducts leading to other rooms. \"Other\nin 1959, or on a place of less than 10 acres from which sales of\nmeans-with flue\" describes stoves, radiant gas heaters, fireplaces,\nfarm products amounted to $250 or more in 1959. Occupied\nand the like connected to a chimney or flue which carries off the\nunits for which cash rent was paid are classified as nonfarm\nsmoke or fumes. \"Other means-without flue\" describes portable\nhousing if the rent did not include any land used for farming\nor plug-in devices not connected to a chimney or flue, such as\n(or ranching).\nelectric heaters, electric steam radiators, kerosene heaters, and\nIn 1950, farm residence was determined by the respondent's\nradiant gas heaters.\nanswer to the question, \"Is this house on a farm (or ranch)?\" In\nAutomobiles available.-The count of automobiles available rep-\naddition, the instructions to the enumerators specified that a\nresents the number of passenger automobiles, including station\nhouse was to be classified as nonfarm if the occupants paid cash\nwagons, owned or regularly used by the occupants of the housing\nrent for the house and yard only.\nunit. Passenger cars were to be counted if they were owned by a\nmember of the household or if they were regularly used and ordi-\nCOLLECTION AND PROCESSING OF DATA\nnarily kept at home as are some company cars. Not to be counted\nwere taxis, pickups or larger trucks, and dismantled or dilapi-\nCollection of data.-Several enumeration forms were used to\ndated cars in an early stage of being junked.\ncollect the information for the 1960 Censuses of Population and\nHousing. A few days before the census date, the Post Office\nValue.-Value is the respondent's estimate of how much the\nDepartment delivered an Advance Census Report (ACR) to\nproperty would sell for on today's market (April 1960). Value\nhouseholds on postal delivery routes. This form contained ques-\ndata are restricted to owner-occupied units having only one hous-\ntions which were to be answered for every person and every\ning unit in the property and no business. Units in multiunit\nhousing unit. Household members were requested to fill the ACR\nstructures and trailers were excluded from the tabulations. In\nand have it ready for the enumerator. The census enumerator\nrural territory, units on farms and all units on places of 10 acres or\nrecorded this information on a form specially designed for elec-\nmore also were excluded from the value tabulations.\ntronic data processing by FOSDIC (Film Optical Sensing Device\nFor tracts where information on value was tabulated on a com-\nfor Input to Computer). The information was either transcribed\nplete-count basis (usually in large cities and other urban places),\nfrom the ACR to the complete-count FOSDIC schedule or entered\nthe median was computed on the basis of the tabulation groups\non this schedule during direct interview.\nshown in the table and the terminal category was $25,000 or more.\nIn the densely populated areas, containing over nine-tenths of\nFor these tracts, $25,000+ is the highest median which could be\nthe census tracts in the Nation, the enumerator left a Household\nshown. For tracts where information was tabulated from a sample\nQuestionnaire to be completed by each household (or person) in\nof units, the median was computed on the basis of more detailed\nthe sample and mailed to the local census office. The population\ncategories than are shown in the table and the terminal category\nand housing information was transcribed from the Household\nwas $35,000 or more. Therefore, a median of $25,000+ is not to\nQuestionnaire to a sample FOSDIC schedule. When the House-\nbe interpreted as being necessarily lower than a specific median\nhold Questionnaire was not returned or was returned without\nabove $25,000; for example, 8 median of $25,000+ for a tract in\nhaving been completed, the enumerator collected the missing\nthe city may or may not be lower than $29,000 for a tract outside\ninformation by personal visit or by telephone and entered it\nthe Reproduced at the National Archives\ndirectly on the sample FOSDIC schedule. In the remaining\n8\nCensus Tracts\nareas, when the enumerator picked up the ACR, he obtained all\nAccuracy of the data.-Tract statistics provide data for rela-\nthe information by direct interview and recorded it directly on\ntively small numbers of housing units and persons; hence, infor-\nthe sample FOSDIC schedule. For vacant units, the enumerator\nmation for one tract almost always represents the work of only a,\ncollected the information by direct interview with the owner,\nfew enumerators (sometimes one or two). Moreover, such items\nlandlord, or neighbor.\nas the delineation of living quarters into housing units and the\nSoon after the enumerator started work, his schedules were\nclassification of the condition of a housing unit were always deter-\nexamined in a formal field review. This operation was designed\nmined by the enumerator. Therefore, users of the data should\nto assure at an early stage of the work that the enumerator was\nbear in mind that misinterpretation of the instructions or variation\nperforming his duties properly and had corrected any errors he\nin interpretation of responses may lead to a wider margin of\nhad made.\nrelative error and response variability in data for census tracts\nA more detailed description of the 1960 Census practices in\nthan for larger areas. The systematic field review early in the\nthe collection of data is given in a report entitled United States\nenumeration corrected some of the errors arising from\nCensuses of Population and Housing, 1960: Principal Data Collec-\nmisunderstandings on the part of the enumerator.\nlion Forms and Procedures, Government Printing Office, Wash-\nTo the extent that answers to the census questions were entered\nington 25, D.C.\non the ACR and on the Household Questionnaire by household\nmembers, the responses were not affected by any misunderstanding\nElectronic processing.-Several steps were required to process\non the part of the enumerator. The self-enumeration forms\nthe data. First, the enumerator recorded the information by\nprovided brief but uniform explanations and called attention to\nmarking appropriate circles on the FOSDIC schedules. These\nthe response categories in a uniform manner.\nschedules were later microfilmed and the information was read\nby FOSDIC, which converted the markings to signals on mag-\nSome innovations in the 1960 Censuses reduced errors in process-\nnetic tape. The tape, in turn, was processed in an electronic\ning and others produced a more consistent quality of editing.\ncomputer, which was used extensively to edit and tabulate the\nThe elimination of the card-punching operation removed one\ndata and to produce the publication tables.\nimportant source of error. The extensive use of electronic equip-\nment ensured a more uniform and more flexible edit than could\nEditing.-In a mass statistical operation, such as a national\nhave been accomplished manually or by less intricate mechanical\ncensus, human and mechanical errors occasionally arise in one\nequipment. It is believed that the use of electronic equipment\nform or another, such as failure to obtain or record the required\nin the 1960 Censuses has improved the quality of the editing\ninformation, recording information in the wrong place, misreading\ncompared with that of earlier censuses but, at the same time, it\nposition markings, and skipping pages. These were kept to a\nhas introduced an element of difference in the statistics.\ntolerable level by means of operational control systems. Non-\nresponses and inconsistencies were eliminated by using the com-\nSAMPLE DESIGN AND SAMPLING VARIABILITY\nputer to assign entries and correct inconsistencies. In general, few\nassignments or corrections were required, although the amount\nSample design.-The unit of sampling was the housing unit\nvaried by subject and by enumerator. Whenever information\nand all its occupants; in group quarters, the sampling unit was\nwas missing for a housing item, an allocation procedure was\nthe person. On the first visit to an address, the enumerator was\nused to assign an acceptable entry, thereby eliminating the need\ninstructed to assign a Sample Key letter (A, B, C, or D) to each\nfor a \"not reported\" category in the tabulations. An acceptable\nhousing unit sequentially in the order in which he first visited\nentry was assigned also when the reported information was\nthe unit, whether or not he completed the interview. Each enu-\ninconsistent. A similar procedure was followed when information\nmerator was given a random key letter to start his assignment,\nwas missing or was unacceptable for a population item, although\nand the order of canvassing was indicated in advance, although\nfor several items a \"not reported\" category was retained.\nthe instructions allowed some latitude in the order of visiting\nThe assignment of an acceptable entry was based on related\nindividual units at an address. Each housing unit which was\ninformation reported for the housing unit or person or on infor-\nassigned the key letter \"A\" was designated as a sample unit for\nmation reported for a similar unit or person in the immediate\nhousing data, and all persons enumerated in the unit were in-\nneighborhood. For example, if tenure for an occupied unit was\ncluded in the sample for population data. In group quarters,\nomitted but a rental amount was reported, the computer auto-\nthe sample for population data consisted of every fourth person\nmatically edited tenure to \"rented.\" Another technique is\nin the order listed, and no information was collected on housing.\nillustrated by the procedure used in the assignment of age in the\nInformation for the persons and housing units in the sample\ncomplete-count tabulations: the computer stored reported ages\nwas recorded on a sample FOSDIC schedule. For population\nof persons by sex, color or race, household relationship, and\ndata, there was one form of the sample FOSDIC schedule. For\nmarital status; each stored age was retained in the computer\nhousing data, every fifth sample FOSDIC schedule carried ques-\nonly until a succeeding person having the same characteristics\ntions comprising the 5-percent sample items; the other four-fifths\nand having age reported was processed through the computer;\ncarried questions comprising the 20-percent sample items. Items\nthis stored age was assigned to the next person whose age was\nwhich appeared on both types of housing schedules comprised\nunknown and who otherwise had the same characteristics. This\nthe 25-percent sample items. Thus, the population sample con-\nprocedure ensured that the distribution of ages assigned by the\nsisted of approximately 25 percent of the population, while the\ncomputer for persons of a given set of characteristics would\nhousing sample was 5, 20, or 25 percent of the housing units.\ncorrespond closely to the reported age distribution of such persons\nIn some situations, the same item was tabulated from various\nas obtained in the current census.\nsamples, as indicated in table A.\nThe extent of the allocations for nonresponse or for incon-\nThe sample rate for \"automobiles available\" generally was 20\nsistency is shown for States, places of 10,000 inhabitants or more,\npercent of the housing units in large urban places and 5 percent\nand other areas in appendix tables in chapters B, C, and D of 1960\nin all other places. For balance of county, places with fewer\nCensus of Population, Volume I, Characteristics of the Population,\nthan 25,000 inhabitants, and individual tracts where the sample\nand in 1960 Census of Housing, Volume I, States and Small Areas.\nrate was 5 percent of the housing units, data on automobiles are\nSpecific tolerances were established for the number of computer\nnot shown. Totals for the SMSA and component counties usually\nallocations acceptable for a given area. If the number was\nwere based partly on a 20-percent sample and partly on a 5-percent\nbeyond tolerance, the data were rejected and the original schedules\nsample.\nwere re-examined to determine the source of the error. Correction\nand reprocessing were undertaken as necessary and feasible.\n1 Places with a population of 50,000 or more in 1950 or in a subsequent special census.\n44\nReproduced at the National Archives\nIntroduction\nTABLE A.-SAMPLE RATE FOR POPULATION AND HOUSING\nFor each of the 44 groups, the ratio of the complete count t.\nITEMS\nthe sample count of the population in the group was determined\nEach sample person in the group was assigned an integral weigh\nTables\nTables\nso that the sum of the weights would equal the complete count fo\nItem\nP-1 to P-4,\nP-5, H-4\nH-1 to H-3\nthe group. For example, if the ratio for a group was 4.2, one-fiftl\nof the persons (selected at random) within the group were assigned\nPopulation:\nPercent\nPercent\na weight of 5, and the remaining four-fifths, a weight of 4. Th\nAge, race, sex, relationship to head, marital status\n100\n25\nAll other items\n25\n25\nuse of such a combination of integral weights rather than a singl\nHousing:\nfractional weight was adopted to avoid the complications involved\nTenure, color, vacancy status, persons,' persons per\nin rounding. In order to increase the reliability, where there were\nroom, rooms, condition and plumbing\n100\n25\nYear moved into unit, year structure built, heating\nfewer than 50 persons in the complete count in a group, or when\nequipment, contract rent, gross rent\n125\n25\nUnits in structure, basement, bathrooms\n2 20\n20\nthe resulting weight was over 16, groups were combined in a\nAutomobiles available\n, 20 or 5\nspecific order to satisfy these two conditions.\nValue\n, 100 or 25\n25\nFor housing items, a similar ratio estimation procedure was\n1 Median number of persons for owner-occupied and renter-occupled units in table\nH-1 based on 25-percent sample.\ncarried out for each of 7 groups of housing units in the tract.\n3 Sample Items not shown in table H-3 If fewer than 400 housing units In tract. Data\non automobiles not shown in H-2 for individual tracts with 5-percent sample.\nseparately for the 25-, 20-, and 5-percent samples. The 7 groups\nare as follows:\nFor value of property in table H-2, the data generally were\nGroup\nTenure, color, vacancy status\ntabulated on a 100-percent basis for the individual tracts in large\n1\nOwner occupied, white\nurban places; 2 for all other individual tracts, and for the totals\n2\nOwner occupied, nonwhite\n3\nof the SMSA, city, county, balance of county, and other areas,\nRenter occupied, white\n4\nRenter occupied, nonwhite\nthe sample rate was 25 percent of the housing units. The figures\n5\nVacant, available for sale only\nfor the individual tracts in large urban places, therefore, do not\n6\nVacant, available for rent\nnecessarily add to the figures in each of the categories in the total\n7\nVacant, other\ncolumns. For table H-3, value data were tabulated from a 25-\nThe ratio estimates achieve some of the gains of stratification\npercent sample for individual tracts as well as the totals for all\nwhich would have been obtained if the sample had been stratified\nplaces.\nby the groups for which separate ratio estimates were computed.\nData on automobiles and value of property were usually tabu-\nThe net effect is a reduction in the sampling error and in the bias\nlated at different sample rates in the case of \"split tracts,\" where\nof most statistics below that which would be obtained by weighting\nthe city boundary divides a tract. This situation occurs when\nthe results of the 25-percent sample by a uniform factor of four\npart of a tract is located inside and part outside a large urban\n(the 20-percent sample by 5 or the 5-percent sample by 20). The\nplace according to the boundaries at the time of the census. Data\nreduction in sampling error is trivial for some items and substantial\non value of property are shown for split tracts, but data on auto-\nfor others. Further, as a byproduct of this procedure, estimates\nmobiles are suppressed for the part of the tract outside the city\nfrom the sample are generally consistent with the total numbers of\nas well as for the tract total.\npersons and housing units obtained from the complete count in\nAlthough the sampling procedure did not automatically insure\neach tract.\nan exact 25-percent sample of persons or 25-, 20-, or 5-percent\nSampling variability.-The figures from sample tabulations are\nsample of housing units in each tract, the sample design was un-\nsubject to sampling variability, which can be estimated by using\nbiased if carried through according to instructions. Generally, for\nthe factors shown in table D in conjunction with table B for abso-\nlarge areas, the deviation from the estimated sample size was\nlute numbers and with table C for percentages. These tables do\nfound to be quite small. Biases may have arisen, however, when\nnot reflect the effect of response variance, processing variance, or\nthe enumerator failed to follow his listing and sampling instruc-\nbias arising in the collection, processing, and estimation steps.\ntions exactly. According to preliminary estimates, 25.07 percent\nEstimates of the magnitude of some of these factors in the total\nof the total population in the United States as a whole and 24.95\nerror are being evaluated and will be published at a later date.\npercent of the total housing units were designated for the 25-\nThe chances are about two out of three that the difference due to\npercent samples.\nsampling variability between an estimate based on a sample and\nRatio estimation.-The statistics based on samples of persons\nthe figure that would have been obtained from a complete count is\nand housing units are estimates that were developed through the\nless than the standard error. The chances are about 19 out of 20\nuse of a ratio estimation procedure. For population items, essen-\nthat the difference is less than twice the standard error and about\ntially this procedure was carried out for each of 44 groups of per-\n99 out of 100 that it is less than 2½ times the standard error. The\nsons in each tract. The groups are as follows:\namount by which the estimated standard error must be multiplied\nto obtain other odds deemed more appropriate can be found in\nSex, color,\nmost statistical text books.\nGroup\nand age\nRelationship and tenure\nMale white:\nFor most population characteristics, the use of the household as\n1\nUnder 5\na sampling unit increases slightly the standard error above what\n2\n5 to 13\nwould be expected for a simple random sample of persons taken\n3\n14 to 24\nHead of owner household\n4\n14 to 24\nHead of renter household\n5\n14 to 24\nNot head of household\n3 Estimates of characteristics of the population from the sample for a given tract\n6-8\n25 to 44\nSame groups as age group 14 to 24\nare produced using the formula:\n9-11\n45 and over\nSame groups as age group 14 to 24\n44\nMale nonwhite:\nY,\n12-22\nSame groups as Male white\nFemale white:\nwhere I' is the estimate of the characteristic for the tract obtained through the use\n23-33\nSame groups as Male white\nof the ratio estimation procedure,\nIt is the count of sample persons with the characteristic for the tract in\nFemale nonwhite:\none (I) of the 44 groups,\n34-44\nSame groups as Male white\n11 is the count of sample persons for the tract in the same one of the 44\ngroups, and\n3 Places with a population of 50,000 or more in 1960 for which housing statistics are\nY, is the count of persons in the complete count for the tract in the same one\npublished in 1980 Census of Housing, Cuy Blocks.\nof the 44 groups.\nReproduced at the National Archives\n45\n10\nCensus Tracts\nwith the same sampling fraction. In particular, characteristics\nTable D provides a factor by which the estimates proportionate\nwhich tend to be the same for all members of a household (e.g.,\nto the standard errors in tables B and C should be multiplied to\nrace and residence in 1955) will have a somewhat higher variance\nadjust for the combined effect of the sample design and the estima-\nthan if a simple random sample of persons had been used. How-\ntion procedure. Table B shows estimates proportionate to the\never, for many population characteristics as well as for many hous-\nstandard errors for estimated numbers of persons or housing units.\ning characteristics, the standard error is reduced below what would\nTable C shows estimates proportionate to the standard errors of\nbe expected for a simple random sample because of geographic\nestimated percentages of persons or housing units.\nstratification in the selection of the sample and the use of ratio\nTo estimate a standard error for a given characteristic, locate\nestimation.\nin table D the factor applying to the item; multiply this factor by\nthe estimate proportionate to the standard error given for the\nTABLE B.-ESTIMATES PROPORTIONATE TO STANDARD ERROR\nnumber shown in table B. The product of this multiplication is\nOF ESTIMATED NUMBER\nthe approximate standard error. Similarly, to obtain an estimate\nof the standard error of a percentage, multiply the figure as shown\n[Range of 2 chances out of 3; for multiplying factors see table D and text]\nin table C by the factor from table D. For most estimates, linear\ninterpolation in tables B and C will provide reasonably accurate\nEstimated number\nEstimate pro-\nEstimated number\nEstimate pro-\nresults.\n(persons or housing\nportionate to\n(persons or housing\nportionate to\nunits)\nstandard error\nunits)\nstandard error\nThe sampling variability of the medians, presented in some of\nthe tables, depends on the size of the base and on the distribution\n50\n15\n1,000\n50\n100\n20\n70\non which the median is based.\n2,500\n250\n30\n5,000\n100\n500\n40\n10,000\n120\nThe standard errors estimated from tables B and C (using the\nfactors given in table D) are not directly applicable to differences\nbetween two sample estimates. These estimates are to be applied\ndifferently in the following three situations:\nTABLE C.-ESTIMATES PROPORTIONATE TO STANDARD ERROR\nOF ESTIMATED PERCENTAGE\n1. For a difference between the sample figure and one based\non a complete count (e.g., a difference arising from comparisons\n[Range of 2 chances out of 3; for multiplying factors 366 table D and text)\nbetween value of property from the 100-percent tabulation for\none tract and value based on a 25-percent sample in another tract),\nthe standard error of the difference is identical with the standard\nBase of percentage (persons or housing units)\nEstimated percentage\nerror of the estimate which is based on the sample.\n2. For a difference between two sample figures (e.g., one from\n500\n1,000\n2,500\n5,000\n10,000\n15,000\n1960 and the other from 1950, or both from the same census year),\nthe standard error is approximately the square root of the sum of\n2 or 98\n1.3\n0.9\n0.5\n0.3\n0.3\n0.2\nthe squares of the standard error of each estimate considered\n5 or 95\n2.0\n1.4\n0.9\n0.5\n0.4\n0.3\n10 or 90\n2.8\n2.0\n1.2\n0.7\n0.6\n0.4\nseparately. This formula will represent the standard error quite\n25 or 75\n3.8\n2.7\n1.5\n0.9\n0.7\n0.5\naccurately for the difference between estimates of the same char-\n50\n4.4\n3.1\n1.6\n1.1\n0.8\n0.6\nacteristic in two different tracts, or for the difference between\nseparate and uncorrelated characteristics in the same tract. If,\nhowever, there is a high positive correlation between the two\ncharacteristics, the formula will overestimate the true standard\nTABLE D.-FACTOR TO BE APPLIED TO TABLES B AND C\nerror.\n3. For a difference between two sample estimates, one of\n[Refer to table A for sample rate]\nwhich represents a subclass of the other, the difference should be\nconsidered as the sample estimate and an estimate of the sampling\nerror of the difference obtained directly.\nItem\nFactor\nIllustration: Let us assume that, for a tract, table P-1 shows\nPopulation, 25-percent sample:\nthat there are an estimated 800 persons 25 years old and over who\nAge\n1.0\nMarital status\n1.0\nhad completed 4 years of high school. Table D shows that for\nNativity and parentage\n1.4\n\"years of school completed\" the appropriate number in table B\nCountry of origin\n1.4\nMarried couples and families\n1.0\nshould be multiplied by a factor of 1.0. Table B shows that the\nSchool enrollment\n0.8\nYears of school completed\n1.0\nestimate proportionate to the standard error for an estimate of\nResidence in 1955\n1.6\n800 is about 46. The factor of 1.0 times 46, or 46, means that the\nIncome In 1959\n1.0\nEmployment status\n1.0\nchances are approximately two out of three that the results of a\nOccupation\n1.0\nIndustry\n1.0\ncomplete count would not differ by more than 46 from the esti-\nClass of worker\n1.0\nmated 800. It also follows that there is only about 1 chance in\nPlace of work\n1.0\nMeans of transportation to work\n1.0\n100 that the results of a complete count would differ by as much as\nHousing, 25-percent sample:\n115, that is, by about 2½ times the standard error. Assume also\nTenure\n0.6\nthat table H-1 shows an estimated 50 units with more than one\nRooms\n1.0\nCondition and plumbing\n1.2\nbathroom. The factor of 1.2 from table D multiplied by 15 from\nYear moved into unit\n1.2\nYear structure built\n1.0\ntable B gives an estimated standard error of 18.\nContract rent\n1.0\nGross rent\n1.0\nStatistics in the tract report may differ from those in other\nValue\n1.0\nreports from the 1960 Censuses of Population and Housing. In\nHousing, 20-percent sample:\nsome reports an item may be tabulated on a 100-percent basis,\nUnits in structure\n1.2\nBasement\n1.2\nwhereas in other reports it was tabulated from a sample and the\nBathrooms\n1.2\nfigures will differ because of sampling variability. Differences\nAutomobiles available\n1.2\narise also through errors of processing and enumeration, some of\nHousing, 5-percent sample:\nAutomobiles available\n2.6\nwhich are discovered in early reports and are corrected in subse-\nquent reports.\nSPECIAL NOTE: During the tabulation of statistics on residence in 1955 and on place of work, it was discovered that some enumerators working in unincorporated areas near\nlarge cities had failed to Identify correctly these large cities as places of previous residence and places of work, respectively. A corrective mechanical edit was introduced that allo\ncated such cases to the largest city in the same county. This procedure was limited to central citles of standard metropolitan statistical areas and to other citles of 50,000 or moreO\nsince these are the only cities shown separately in abulations of residence in 1955 and place of work. This edit may have overcorrected In some cases and undercorrected in others,\nthe number of persons moving at the or National commuting from the balance of the county to the given city. The correction was deemed unnecessary for SMSA's in New England and New\nJersey.\nFINAL REPORTS OF THE 1960 CENSUSES OF POPULATION AND HOUSING\nThe publication program for these two censuses includes the final reports listed below, the present series of PHC(1) reports entitled\nCensus Tracts, and a number of evaluation, procedural, and administrative reports. Prior to issuance of some of the final reports, selected\ndata are being released in several series of advance reports. Certain types of unpublished statistics will be available for the cost of pre-\nparing a copy of the data; and, under certain conditions, special tabulations of the data from the 1960 Censuses can be prepared on a\nreimbursable basis. Further information may be obtained by writing to the Chief, Population Division, or the Chief, Housing Division,\nBureau of the Census, Washington 25, D.C., and giving a specific description of the statistics desired.\nCENSUS OF POPULATION\nVolume I. Characteristics of the Population. This volume consists of separate reports for the United States, each of the 50 States,\nthe District of Columbia, Puerto Rico, Guam, Virgin Islands of the United States, American Samoa, and Canal Zone. For each of these\n57 areas, the data are first being issued in four separate, paper-bound \"chapters,\" designated as PC(1)-A, B, C, and D. After the four\nchapters for each area are published, they will be assembled and issued in a buckram-bound \"part.\" In addition, all of the 57 chapters\n\"A\" are being assembled for issuance in a buckram-bound edition, designated as Part A. (For Guam, Virgin Islands, American Samoa,\nand Canal Zone, the material normally contained in chapters B, C, and D is included in chapter B.)\nSeries PC(1)-1A to 57A: Chapter A. Number of Inhabitants. These reports contain final population counts for States and counties\nand their urban and rural parts, and for standard metropolitan statistical areas, urbanized areas, all incorporated places, unincorpo-\nrated places of 1,000 inhabitants or more, and minor civil divisions.\nSeries PC(1)-1B to 57B: Chapter B. General Population Characteristics. These reports present statistics on sex, age, marital status,\ncolor or race, and relationship to head of household for States and counties and their urban and rural parts, and for standard metro-\npolitan statistical areas, urbanized areas, places of 1,000 inhabitants or more, and minor civil divisions.\nSeries PC(1)-1C to 53C: Chapter C. General Social and Economic Characteristics. These reports cover the subjects of nativity and\nparentage, State of birth, country of origin of the foreign stock, mother tongue, place of residence in 1955, year moved into present\nhouse, school enrollment by level and type, years of school completed, families and their composition, fertility, veteran status, em-\nployment status, weeks worked in 1959, year last worked, occupation group, industry group, class of worker, place of work, means\nof transportation to work, and income of persons and families. Each subject is shown for some or all of the following areas: States\nand counties and their urban, rural-nonfarm, and rural-farm parts, standard metropolitan statistical areas, urbanized areas, and\nurban places.\nSeries PC(1)-1D to 53D: Chapter D. Detailed Characteristics. These reports will present most of the subjects covered in chapter\nC, above, cross-classified by age, color, and other characteristics. There will also be included additional information on families, as\nwell as data on single years of age, detailed occupation, and detailed industry. Each subject will be shown for some or all of the\nfollowing areas: States and their urban, rural-nonfarm, and rural-farm parts; and large counties, cities, and standard metropolitan\nstatistical areas.\nVolume I, Parts 1 to 57: Characteristics of the Population. This will consist of 57 parts-one for the United States, each of the 50\nStates, District of Columbia, Puerto Rico, Guam, Virgin Islands, American Samoa, and Canal Zone. Each part will consist of the data\npreviously published in the four chapters A, B, C, and D, and will be in the form of a separate, buckram-bound book. Parts 54, 55,\n56, and 57-for Guam, Virgin Islands, American Samoa, and Canal Zone, respectively-will be bound in a single book.\nVolume I, Part A: Number of Inhabitants. This is a compendium of the 57 chapter A reports, i.e., PC(1)-1A to 57A.\nVolume II (Series PC(2) reports). Subject Reports. This volume will consist of approximately 40 reports devoted essentially to de-\ntailed cross-classifications for the United States and regions for such subjects as national origin and race, fertility, families, marital status,\nmigration, education, employment, unemployment, occupation, industry, and income. On some subjects (e.g., migration) statistics will\nalso be shown for standard metropolitan statistical areas or States. In addition, there will be reports on veterans, the U.S. population\noverseas, and the geographic distribution and characteristics of the institutional population.\nVolume III (Series PC(3) reports). Selected Area Reports. This volume will consist of two reports showing selected characteristics\nof the population (1) for State economic areas, and (2) according to the size of place where the individual resided.\nVolume IV. Summary and Analytical Report. This report will present an analytical review of the results of the 1960 Census of Popu-\nlation for each major field.\nCENSUS OF HOUSING\n[The source of the data is the April 1960 enumeration, except for Volumes IV and V which will be based largely on the enu-\nmeration of units in a sample of land area segments started in late 1959 and extended into 1960]\nVolume I (Series HC(1) reports). States and Small Areas. These reports present information about all housing subjects covered in the\nApril 1960 enumeration. There is a separate report for the United States by regions and geographic divisions, each of the 50 States, the\nDistrict of Columbia, Puerto Rico, Guam, and Virgin Islands of the United States. In the State reports, information is shown for the State\nas a whole and for each standard metropolitan statistical area, urbanized area, urban place, place of 1,000 to 2,500 inhabitants, county,\nand the rural-farm and rural-nonfarm parts of the county. The volume covers occupancy characteristics such as tenure, vacancy status,\ncolor, number of persons; structural characteristics such as rooms, year built, and condition of unit; equipment and facilities including water\nsupply, toilet and bathing facilities, heating equipment, air conditioning, television, clothes washing machine, and the like; and financial\ncharacteristics including value and rent.\nVolume II (Series HC(2) reports). Metropolitan Housing. These reports will present cross tabulations of housing and household\ncharacteristics. There will be a separate report for the United States by geographic divisions, and for each of the 192 standard metro-\npolitan statistical areas with 100,000 inhabitants or more in the United States and Puerto Rico. Separate statistics for each city of 100,000\ninhabitants or more will be included in the metropolitan area report.\nVolume III (Series HC(3) reports). City Blocks. This volume consists of separate reports for cities and urban places with 50,000\ninhabitants or more prior to and at the time of the 1960 Census, and for a number of smaller localities which arranged for block statistics.\nData for a limited number of characteristics are presented by blocks. Statistics for 467 cities and localities in the United States and Puerto\nRico are published in 421 separate reports.\nVolume IV (Series HC(4) reports). Components of Inventory Change. These reports will present information on the source of the 1959\ninventory and the disposition of the 1950 and 1956 inventories. Data will be provided for components of change such as new construction,\nReproduced at the National Archives\n\"47\n12\nCensus Tracts\nconversion, merger, demolition, and other additions and other losses. Part 1 of the volume will contain the 1950 to 1959 comparison, with\na separate report for the United States by regions, and each of 17 selected standard metropolitan statistical areas. Part 2 will contain the\n1957 to 1959 comparison, with a separate report for the United States by regions, and each of 9 selected standard metropolitan statistical\nareas.\nVolume V. Residential Finance. These reports will present information on financing of residential property, including characteristics\nof mortgages, properties, and homeowners. Part 1 of the volume will be a report on homeowner properties for the United States by regions,\nand each of 17 selected standard metropolitan statistical areas. Part 2 will be a report on rental and vacant properties for the United\nStates.\nVolume VI. Rural Housing. This volume will show cross tabulations of housing and household characteristics for the 121 economic\nsubregions of the United States, for rural-farm and for rural-nonfarm housing units.\nSeries HC(S1). Special Reports for Local Housing Authorities. This series consists of separate reports for 139 localities in the United\nStates. The program was requested by, and planned in cooperation with, the Public Housing Administration. The reports contain data\non both owner- and renter-occupied housing units defined as substandard by Public Housing Administration criteria, with emphasis on gross\nrent, size of family, and income of renter families.\nLIST OF PHC(1) REPORTS\n[Of the 180 areas listed below, all are standard metropolitan statistical areas except two, Middlesex and Somerset Countles, N.J., which are not part of an SMSA. For 136 of the\n178 SMSA's, the entire area is tracted; for 17, only the central city (or cities) Is tracted; and for the remaining 25, the central city (or cities) and part of the balance of the SMSA\nare tracted. In 13 of the reports, tracts adjacent to the SMSA are also shown)\n1. Ab: ene, Tex.¹\n46. Fall River, Mass.-R.I.\n91. Middlesex County, N.J.4\n136. San Diego, Calif.\n2. Akron, Ohio\n47. Flint, Mich.\n92. Milwaukee, Wis.\n137. San Francisco-Oakland,\n3. Albany-Schenectady-Troy,\n48. Fort Smith, Ark.2\n93. Minneapolis-St. Paul,\nCalif.\nN.Y.\n49. Fort Wayne, Ind.\nMinn.\n138. San Jose, Calif.\n4. Albuquerque, N. Mex.\n50. Fort Worth, Tex.\n94. Mobile, Ala.2\n139. Santa Barbara, Calif.\n5. Allentown-Bethlehem-\n95. Monroe, La.¹\n140. Savannah, Ga.\nEaston, Pa.-N.J.¹\n51. Fresno, Calif.\n96. Montgomery, Ala.\n6. Altoona, Pa.'\n52. Gadsden, Ala.\n97. Muncie, Ind.\n141. Scranton, Pa.2\n7. Ann Arbor, Mich.\n53. Galveston-Texas City, Tex.\n98. Muskegon-Muskegon\n142. Seattle, Wash.\n8. Atlanta, Ga.\n54. Gary-Hammond-East\nHeights, Mich.'\n143. Shreveport, La.\n9. Atlantic City, N.J.²\nChicago, Ind.\n99. Nashville, Tenn.\n144. Sioux City, Iowa 2\n10. Augusta, Ga.-S.C.¹\n55. Grand Rapids, Mich.'\n100. New Bedford, Mass.'\n145. Somerset County, N.J.'\n56. Green Bay, Wis.2\n146. South Bend, Ind.\n11. Austin, Tex.\n57. Greensboro-High Point,\n101. New Britain, Conn.3\n147. Spokane, Wash.\n12. Bakersfield, Calif.'\nN.C.\n102. New Haven, Conn.\n148. Springfield, Mo.\n13. Baltimore, Md.\n58. Greenville, S.C.\n103. New Orleans, La.\n149. Springfield, Ohio\n14. Baton Rouge, La.\n59. Hamilton-Middletown,\n104. New York, N.Y.'\n150. Springfield-Chicopee-\n15. Beaumont-Port Arthur,\nOhio\n105. Newark, N.J.\nHolyoke, Mass.'\nTex.¹\n60. Harrisburg, Pa.\n106. Newport News-Hampton,\n16. Binghamton, N.Y.\nVa.1\n151. Stamford, Conn.\n17. Birmingham, Ala.\n61. Hartford, Conn.3\n18. Boston, Mass.'\n62. Honolulu, Hawaii\n107. Norfolk-Portsmouth, Va.\n152. Steubenville-Weirton,\n63. Houston, Tex.\n108. Norwalk, Conn.'\nOhio-W. Va.\n19. Bridgeport, Conn.\n109. Odessa, Tex.\n153. Stockton, Calif.\n20. Brockton, Mass.\n64. Indianapolis, Ind.\n110. Ogden, Utah\n154. Syracuse, N.Y.\n65. Jackson, Mich.\n155. Tacoma, Wash.\n21. Buffalo, N.Y.\n66. Jacksonville, Fla.'\n111. Oklahoma City, Okla.¹\n156. Tampa-St. Petersburg,\n22. Canton, Ohio\n67. Jersey City, N.J.\n68. Johnstown, Pa.¹\n112. Omaha, Nebr.-Iowa\nFla.\n23. Charleston, S.C.\n69. Kalamazoo, Mich.\n113. Orlando, Fla.'\n157. Texarkana, Tex.-Ark.2\n24. Charlotte, N.C.\n114. Paterson-Clifton-Passaic,\n158. Toledo, Ohio\n25. Chattanooga, Tenn.-Ga.'\n70. Kansas City, Mo.-Kans.¹ 3\nN.J.\n159. Topeka, Kans.\n26. Chicago, III.\n71. Knoxville, Tenn.\n115. Peoria, III.\n160. Trenton, N.J.\n27. Cincinnati, Ohio-Ky.¹\n72. Lancaster, Pa.\n116. Philadelphia, Pa.-N.J.\n28. Cleveland, Ohio\n117. Phoenix, Ariz.\n161. Tucson, Ariz.\n73. Lansing, Mich.'\n29. Colorado Springs, Colo.\n118. Pittsburgh, Pa.\n162. Tulsa, Okla.¹\n74. Laredo, Tex.\n30. Columbia, S.C.\n75. Las Vegas, Nev.²\n119. Pittsfield, Mass.³\n163. Tyler, Tex.\n76. Lawrence-Haverhill,\n120. Portland, Maine\n164. Utica-Rome, N.Y.\n31. Columbus, Ga.-Ala.\n165. Waco, Tex.\nMass.-N.H.¹\n32. Columbus, Ohio\n77. Lexington, Ky.\n121. Portland, Oreg.-Wash.\n166. Washington, D.C.-Md.-\n78. Lima, Ohio\n122. Providence-Pawtuckei,\nVa.\n33. Corpus Christi, Tex.\n34. Dallas, Tex.\nR.I.-Mass.³\n167. Waterbury, Conn.\n79. Lincoln, Nebr.¹\n35. Davenport-Rock Island-\n123. Pueblo, Colo.\n168. Waterloo, Iowa\n80. Little Rock-North Little\nMoline, Iowa-Ill.'\n169. Wheeling, W. Va.-Ohio 1\nRock, Ark.\n124. Raleigh, N.C.\n36. Dayton, Ohio 1\n125. Reading, Pa.\n170. Wichita, Kans.\n37. Decatur, III.\n81. Lorain-Elyria, Ohio\n126. Richmond, Va.\n38. Denver, Colo.\n127. Rochester, N.Y.\n171. Wichita Falls, Tex.\n82. Los Angeles-Long Beach,\n39. Des Moines, Iowa\nCalif.\n128. Rockford, Ill.\n172. Wilkcs-Barre-Hazleton, Pa.\n40. Detroit, Mich.\n83. Louisville, Ky.-Ind.\n129. Sacramento, Calif.\n173. Wilmington, Del.-N.J.\n130. Saginaw, Mich.\n174. Winston-Salem, N.C.\n84. Lowell, Mass.\n41. Duluth-Superior, Minn.-\n175. Worcester, Mass.³\n85. Lubbock, Tex.2\nWis.'\n131. St. Louis, Mo.-Ill.\n176. York, Pa.¹\n86. Macon, Ga.¹\n42. Durham, N.C.\n132. Salt Lake City, Utah 3\n87. Madison, Wis.\n177. Youngstown-Warren,\n43. El Paso, Tex.\n133. San Angelo, Tex.\nOhio\n88. Manchester, N.H.\n44. Erie, Pa.\n134. San Antonio, Tex.\n178. Mayagüez, P.R.\n89. Memphis, Tenn.\n135. San Bernardino-River-\n45. Evansville, Ind.-Ky.\n179. Ponce, P.R.\n90. Miami, Fla.\nside-Ontario, Calif.\n180. San Juan, P.R.'\n$ Central city (or cities) and only part of balance of SMSA are tracted.\n$ Only central city (or cities) is tracted.\nThis county is not part of an SMSA.\n8 Report also shows tracts adjacent to the SMSA.\n# Report to be published in two parts: 1. New York City; 2. Outside New York City.\n48\nReproduced at the National Archives\nCOMPARABILITY OF CENSUS TRACTS,\n1960 AND 1950\nOnly Austin city was tracted for 1950. The local tract\ncommittee reviewed these few minor adjustments and decided\nthat the changes resulted in no substantial effect on the\npopulation or area comparability.\n13\n49\nReproduced at the National Archives\n14\nCensus Tracts\nTable P-1.-GENERAL CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960\n[Asterisk (*) denotes statistics based on 25-percent sample. Population per household not shown where less than 50 persons in households. Median not shown where base is less than 200]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0002\n0003\n0004\n0005\n0006\n0007\n0008\n0009\n0010\nRACE AND COUNTRY OF ORIGIN\nTOTAL POPULATION\n212 136\n186\n545\n25 591\n6 859\n12 375\n11 764\n8 474\n3 507\n11 072\n3 594\n15 764\n12 962\n6 756\nWHITE\n184 912\n161\n806\n23 106\n6 601\n11 500\n11 751\n6 950\n3 497\n10 861\n3 454\n2 498\n10 024\n6 745\nNEGRO\n26 863\n24 413\n2 450\n253\n864\n1\n1 502\n2\n80\n118\n13 260\n2 923\n1\nOTHER RACES.\n361\n326\n35\n5\n11\n12\n22\n8\n131\n22\n6\n15\n10\nWHITE. SPANISH SURNAME: NATIVE*.\n23 890\n21 913\n1 977\n73\n441\n274\n167\n75\n286\n395\n1 107\n7 252\n3 997\nFOREIGN BORN*.\n2 182\n1 959\n223\n...\n29\n44\n17\n20\n55\n29\n81\n677\n343\nTOTAL FOREIGN STOCK*\n22 646\n19 857\n2 789\n450\n1 147\n1 515\n857\n376\n1 153\n496\n621\n2 988\n1 799\nFOREIGN BORN\n4 847\n4 336\n511\n96\n209\n252\n174\n96\n420\n86\n152\n725\n384\nNATIVE, FOR. OR MIXED PARENTAGE.\n17 799\n15 521\n2 278\n354\n938\n1 263\n683\n280\n733\n410\n469\n2 263\n1 415\nUNITED KINGDOM\n1 258\n1 052\n206\n47\n59\n97\n52\n53\n38\n16\n...\n26\nIRELAND (EIRE)\n251\n227\n24\n12\n8\n20\n56\n8\n18\n...\n...\n3\nNORWAY\n133\n121\n12\n8\n4\n4\n7\n4\n16\n4\n...\n...\n4\nSWEDEN\n1 771\n1 403\n368\n28\n127\n339\n169\n40\n20\n33\n67\n24\n28\nGERMANY\n3 612\n2 916\n696\n99\n330\n334\n189\n51\n146\n78\n41\n89\n88\nPOLAND\n423\n402\n21\n16\n22\n20\n20\n15\n51\n25\n...\n...\nCZECHOSLOVAKIA\n495\n448\n47\n12\n58\n55\n8\n...\n30\n21\n10\n4\n16\nAUSTRIA\n168\n151\n17\n8\n4\n8\n4\n12\n7\n5\n...\n...\n...\nHUNGARY\n130\n117\n13\n...\n16\n5\n4\n...\n9\n4\n...\nU.S.S.R.\n372\n357\n15\n32\n41\n8\n40\n12\n40\n29\n...\n4\n...\nITALY.\n418\n364\n54\n7\n33\n23\n20\n12\n24\n4\n8\n9\n22\nCANADA\n805\n690\n115\n48\n49\n24\n40\n32\n60\n13\n4\n24\n17\nMEXICO\n9 555\n8 612\n943\n17\n144\n147\n91\n44\n248\n192\n388\n2 695\n1 475\nALL OTHER AND NOT REPORTED\n3 255\n2 997\n258\n116\n252\n431\n157\n93\n446\n72\n103\n113\n146\nHOUSEHOLD RELATIONSHIP\nPOPULATION IN HOUSEHOLDS\n192\n299\n169 066\n23 233\n6 667\n9 091\n11 549\n7 925\n3 225\n3 594\n3 051\n15 475\n12 444\n6 751\nHEAD OF HOUSEHOLD\n59 056\n52 484\n6 572\n2 015\n3 035\n4 034\n2 771\n1 398\n1 756\n1 442\n4 335\n2 985\n1 582\nHEAD OF PRIMARY FAMILY\n48 727\n42 805\n5 922\n1 822\n2 553\n3 343\n2 154\n891\n707\n669\n3 567\n2 421\n1 390\nPRIMARY INDIVIDUAL\n10 329\n9 679\n650\n193\n482\n691\n617\n507\n1 049\n773\n768\n564\n192\nWIFE OF HEAD\n42 404\n36 914\n5 490\n1 716\n2 245\n2 877\n1 801\n747\n548\n475\n2 459\n1 862\n1 168\nCHILD UNDER 18 OF HEAD\n65 435\n56 931\n8 504\n2 489\n2 772\n3 076\n2 154\n519\n370\n469\n5 376\n4 933\n2 684\nOTHER RELATIVE OF HEAD\n21 068\n18 582\n2 486\n393\n916\n1 319\n859\n273\n274\n308\n2 902\n2 409\n1 245\nNONRELATIVE OF HEAD.\n4 336\n4 155\n181\n54\n123\n243\n340\n288\n646\n357\n403\n255\n72\nPOPULATION IN GROUP QUARTERS\n19 837\n17 479\n2 358\n192\n3 284\n215\n549\n282\n7 478\n543\n289\n518\n5\nINMATE OF INSTITUTION.\n9 607\n7 426\n2 181\n192\n3 248\n113\n43\n...\n52\n33\n46\n17\n...\nOTHER\n10 230\n10 053\n177\n...\n36\n102\n506\n282\n7 426\n510\n243\n501\n5\nPOPULATION PER HOUSEHOLD\n3.26\n3.22\n3.54\n3.31\n3.00\n2.86\n2.86\n2.31\n2.05\n2.12\n3.57\n4.17\n4.27\nMARRIED COUPLES*\n43 786\n38 002\n5 784\n1 743\n2 312\n2 946\n1 784\n768\n566\n488\n2 618\n2 015\n1 237\nWITH OWN HOUSEHOLD\n42 808\n37 190\n5 618\n1 739\n2 269\n2 881\n1 771\n764\n563\n488\n2 473\n1 912\n1 150\nWITH OWN CHILDREN UNDER 6.\n15 495\n13 537\n1 958\n625\n675\n786\n565\n146\n155\n104\n880\n886\n518\nWITH OWN CHILDREN UNDER 18\n26 312\n22 872\n3 440\n1 161\n1 294\n1 440\n911\n274\n206\n147\n1 455\n1 337\n800\nWITH HUSBAND UNDER 45.\n25 638\n22 547\n3 091\n995\n1 236\n1 416\n1 061\n457\n418\n267\n1 418\n1 083\n687\nWITH OWN CHILDREN UNDER 18\n20 032\n17 468\n2 564\n870\n950\n1 041\n713\n161\n178\n97\n1 058\n924\n563\nUNRELATED INDIVIDUALS*\n24 483\n22 852\n1 631\n227\n652\n937\n1 495\n1 057\n9 064\n1 607\n1 193\n1 085\n246\nPERSONS UNDER 18 YEARS OLD\n73 731\n64 488\n9 243\n2 679\n3 264\n3 301\n2 347\n606\n580\n553\n6 572\n5 965\n3 130\nLIVING WITH BOTH PARENTS*\n60 586\n52\n248\n8 338\n2 308\n2 534\n2 784\n1 882\n445\n358\n359\n4 059\n4 230\n2 631\n*SCHOOL ENROLLMENT\nTOTAL ENROLLED. 5 TO 34 YEARS OLD.\n59 330\n53 678\n5 652\n2 014\n2 573\n2 537\n2 677\n1 330\n8 953\n1 120\n4 265\n3 371\n1 699\nKINDERGARTEN\n941\n881\n60\n94\n32\n44\n25\n9\n14\n3\n102\n112\n18\nPUBLIC\n397\n368\n29\n17\n8\n14\n13\n...\n7\n3\n67\n81\n...\nELEMENTARY (1 TO 8 YEARS)\n31 773\n27\n741\n4 032\n1 325\n1 536\n1 425\n931\n237\n164\n176\n3 067\n2 420\n1 338\nPUBLIC\n29 566\n25 767\n3 799\n1 219\n1 364\n1 352\n855\n209\n157\n165\n3 010\n2 330\n1 271\nHIGH SCHOOL (1 TO 4 YEARS)\n9 590\n8 412\n1 178\n402\n590\n553\n415\n106\n84\n152\n956\n509\n323\nPUBLIC\n9 147\n8 016\n1 131\n392\n555\n509\n391\n98\n84\n128\n940\n471\n306\nCOLLEGE\n17 026\n16 644\n382\n193\n415\n515\n1 306\n978\n8 691\n789\n140\n330\n20\n*YEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER.\n106 912\n93 306\n13 606\n3 702\n7 960\n7 072\n4 326\n1 799\n2 046\n1 875\n7 812\n5 538\n2 945\nNO SCHOOL YEARS COMPLETED.\n5 406\n4 047\n1 359\n4\n284\n73\n17\n15\n6\n119\n283\n1 153\n524\nELEMENTARY: 1 TO 4 YEARS\n7 997\n6 873\n1 124\n11\n680\n295\n231\n16\n23\n75\n946\n1 249\n690\n5 TO 7 YEARS\n14 731\n12 494\n2 237\n114\n1 332\n1 080\n561\n144\n88\n136\n1 947\n1 114\n757\n8 YEARS\n10 165\n8 742\n1 423\n116\n1 079\n964\n396\n96\n83\n134\n987\n590\n341\nHIGH SCHOOL: 1 TO 3 YEARS\n17 131\n14 874\n2 257\n414\n1 295\n1 284\n738\n168\n186\n227\n1 699\n701\n319\n4 YEARS\n22 088\n19 117\n2 971\n872\n1 585\n1 505\n910\n300\n263\n405\n895\n424\n235\nCOLLEGE:\n1 TO 3 YEARS\n14 227\n13 062\n1 165\n847\n773\n1 070\n617\n468\n590\n340\n482\n179\n64\n4 YEARS OR MORE\n15 167\n14 097\n1 070\n1 324\n932\n801\n856\n592\n807\n439\n573\n128\n15\nMEDIAN SCHOOL YEARS COMPLETED\n11.7\n11.9\n9.9\n14.1\n10.4\n11.6\n12.2\n14.0\n14.9\n12.6\n8.7\n6.0\n6.0\n*RESIDENCE IN 1955\nPERSONS 5 YEARS OLD AND OVER. 1960\n187 904\n165 282\n22 622\n6 162\n11 477\n10 695\n7 630\n3 294\n10 883\n3 428\n13 625\n10 915\n5 718\nSAME HOUSE AS IN 1960\n74 024\n64 840\n9 184\n2 509\n5 494\n5 193\n3 065\n1 008\n848\n906\n7 258\n5 526\n2 643\nDIFFERENT HOUSE IN U.S.\n105 734\n93 316\n12 418\n3 441\n5 551\n5 027\n4 260\n2 126\n8 551\n2 344\n5 889\n4 795\n2 975\nCENTRAL CITY OF THIS SMSA\n49 783\n45 781\n4 002\n1 679\n2 225\n2 832\n1 827\n501\n775\n688\n4 640\n3 691\n2 166\nOTHER PART OF THIS SMSA\n5 416\n2 573\n2 843\n106\n119\n107\n87\n4\n16\n16\n253\n121\n44\nOUTSIDE THIS SMSA.\n50 535\n44 962\n5 573\n1 656\n3 207\n2 088\n2 346\n1 621\n7 760\n1 640\n996\n983\n765\nNORTH AND WEST\n7 580\n6 054\n1 526\n244\n427\n280\n301\n165\n539\n229\n164\n127\n127\nSOUTH.\n42 955\n38 908\n4 047\n1 412\n2 780\n1 808\n2 045\n1 456\n7 221\n1 411\n832\n856\n638\nABROAD\n3 072\n2 432\n640\n119\n79\n146\n125\n57\n404\n60\n16\n63\n33\nMOVED, RESIDENCE IN 1955 NOT REPORTED.\n5 074\n4 694\n380\n93\n353\n329\n180\n103\n1 080\n118\n462\n531\n67\n*FAMILY INCOME IN 1959\nALL FAMILIES\n49 027\n43\n020\n6 007\n1 831\n2 552\n3 357\n2 107\n886\n780\n675\n3 578\n2 476\n1 376\nUNDER $1,000\n2 520\n2 126\n394\n42\n67\n126\n144\n55\n78\n64\n399\n343\n113\n$1,000 TO $1,999\n4 010\n3 416\n594\n47\n125\n177\n171\n97\n95\n72\n729\n448\n181\n$2,000 TO $2,999\n5 647\n4 904\n743\n57\n225\n340\n239\n129\n74\n111\n842\n552\n331\n$3,000 TO $3,999\n6 006\n5 244\n762\n69\n315\n443\n311\n139\n84\n89\n604\n450\n279\n$4,000 TO $4,999\n6 002\n5 225\n777\n122\n373\n523\n270\n77\n87\n57\n394\n270\n220\n$5,000 TO $5,999\n5 623\n4 983\n640\n148\n308\n477\n267\n95\n85\n78\n221\n178\n126\n$6,000 TO $6,999\n4 669\n4 104\n565\n175\n314\n344\n205\n50\n81\n51\n136\n95\n48\n$7,000 TO $7,999\n3 578\n3 225\n353\n167\n201\n259\n157\n62\n48\n13\n83\n46\n37\n$8,000 TO $8,999\n2 542\n2 260\n282\n101\n153\n188\n88\n35\n31\n36\n28\n29\n13\n$9,000 TO $9,999\n1 924\n1 774\n150\n146\n101\n124\n92\n36\n12\n13\n53\n23\n15\n$10,000 TO $14,999\n4 186\n3 694\n492\n424\n277\n259\n115\n54\n93\n61\n65\n35\n13\n$15,000 TO $24,999\n1 549\n1 370\n179\n222\n73\n71\n33\n43\n7\n23\nB\n7\n...\n$25,000 AND OVER\n771\n695\n76\n111\n20\n26\n15\n14\n5\n7\n16\n...\n...\nMEDIAN INCOME: FAMILIES\n$5 058\n$5 119\n$4 657\n$8\n876\n$5 555\n$5 146\n$4 698\n$4 299\n$4 678\n$4\n026\n$2 785\n$2 810\n$3\n226\nReproduce at the 568\n$3 535\n$3 830\n$7 924\n$4 757\n$4 485\n$3 181\n$2 575\n$ 712\n$2\n048\n$2 307\n$2 107\n$2 855\n50\nCensus Tracts\n15\nTable P-1.-GENERAL CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960-Con.\n[Asterisk (*) denotes statistics based on 25-percent sample. Population per household not shown where less than 50 persons in households. Median not shown where base is less than 200]\nAUSTIN--CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0011\n0012\n0013\n0014\n0015\n0016\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nRACE AND COUNTRY OF ORIGIN\nTOTAL POPULATION\n3 196\n4 546\n14 485\n4 395\n16\n494\n18 662\n1 024\n4 993\n1 312\n5 326\n13 685\n973\n3 369\n958\nWHITE.\n3 091\n4 121\n14 034\n4 384\n16\n448\n18 501\n1 024\n3 774\n1 310\n5 307\n11 078\n973\n2 931\n949\nNEGRO\n104\n421\n442\n2\n42\n140\n...\n1 213\n2\n5\n2 596\n...\n436\n6\nOTHER RACES\n1\n4\n9\n9\n4\n21\n...\n6\n...\n14\n11\n...\n2\n3\nWHITE, SPANISH SURNAME: NATIVE*\n820\n408\n2 168\n37\n401\n427\n16\n68\n39\n130\n1 392\n103\n1 807\n30\nFOREIGN BORN*.\n89\n71\n206\n21\n16\n12\n...\n...\n...\n12\n88\n4\n129\n16\nTOTAL FOREIGN STOCK*\n503\n613\n1 729\n470\n1 077\n1 364\n73\n170\n31\n416\n1 065\n83\n740\n121\nFOREIGN BORN\n152\n173\n354\n100\n171\n242\n12\n30\n7\n113\n179\n16\n145\n48\nNATIVE FOR. OR MIXED PARENTAGE.\n351\n440\n1 375\n370\n906\n1 122\n61\n140\n24\n303\n886\n67\n595\n73\nUNITED KINGDOM\n22\n69\n126\n49\n83\n148\n4\n5\n4\n59\n51\n3\n12\n29\nIRELAND (EIRE)\n5\n16\n20\n7\n8\n8\n...\n...\n8\n6\n4\n8\n12\nNORWAY\n...\n27\n4\n12\n12\n...\n4\n3\n...\n8\n...\n...\nSWEDEN\n5\n41\n49\n87\n109\n120\n...\n27\n...\n20\n59\n4\n7\n...\nGERMANY\n54\n122\n288\n95\n274\n267\n45\n52\n8\n86\n142\n18\n8\n12\nFOLAND\n8\n5\n8\n...\n24\n127\n4\n4\n4\n16\n4\n9\n20\nCZECHOSLOVAKIA\n17\n4\n16\n23\n70\n36\n17\n...\n16\n23\n7\n5\n...\nAUSTRIA.\n14\n8\n...\n32\n24\n4\n...\n13\n8\n...\n...\nHUNGARY\n16\n14\n...\n12\n16\n...\n5\n...\n4\n4\n8\n...\n...\nU.S.S.R.\n3\n3\n5\n8\n16\n88\n...\n4\n...\n7\n17\n...\n...\n...\nITALY.\n12\n12\n21\n12\n48\n27\n...\n8\n4\n30\n16\n...\n4\n8\nCANADA\n5\n20\n53\n42\n74\n100\n8\n20\n4\n25\n24\n...\n4\nMEXICO\n299\n217\n990\n55\n149\n89\n4\n20\n...\n79\n567\n27\n671\n4\nALL OTHER AND NOT REPORTED\n73\n74\n104\n88\n166\n302\n8\n...\n8\n65\n124\n8\n12\n36\nHOUSEHOLD RELATIONSHIP\nPOPULATION IN HOUSEHOLDS\n2 951\n3 764\n13 886\n4 383\n16 431\n16 600\n1 024\n4 966\n1 312\n5 296\n13 623\n973\n3 357\n728\nHEAD OF HOUSEHOLD.\n1 278\n1 317\n4 205\n1 598\n4 637\n5 872\n272\n1 317\n393\n1 474\n3 512\n289\n740\n227\nHEAD OF PRIMARY FAMILY\n561\n990\n3 613\n1 300\n4 367\n4 747\n266\n1 217\n377\n1 394\n3 320\n262\n675\n199\nPRIMARY INDIVIDUAL\n717\n327\n592\n298\n270\n1 125\n6\n100\n16\n80\n192\n27\n65\n28\nWIFE OF HEAD\n412\n791\n3 194\n1 148\n4 100\n4 239\n253\n1 113\n358\n1 316\n3 069\n246\n605\n172\nCHILD UNDER 18 OF HEAD\n642\n996\n4 892\n1 141\n6 621\n4 666\n428\n2 037\n477\n2 177\n5 845\n324\n1 596\n247\nOTHER RELATIVE OF HEAD\n385\n568\n1 400\n426\n987\n1 322\n65\n478\n74\n310\n1 089\n106\n396\n78\nNONRELATIVE OF HEAD\n234\n92\n195\n70\n86\n501\n6\n21\n10\n19\n108\n8\n20\n4\nPOPULATION IN GROUP QUARTERS\n245\n782\n599\n12\n63\n2 062\n...\n27\n...\n30\n62\n...\n12\n230\nINMATE OF INSTITUTION\n147\n772\n540\n11\n59\n2 046\n...\n26\n...\n30\n27\n...\n...\n24\nOTHER.\n98\n10\n59\n1\n4\n16\n...\n1\n...\n...\n35\n...\n12\n206\nPOPULATION PER HOUSEHOLD\n2.31\n2.86\n3.30\n2.74\n3.54\n2.83\n3.76\n3.77\n3.34\n3.59\n3.88\n3.37\n4.54\n3.21\nMARRIED COUPLES*\n463\n815\n3 287\n1 153\n4 188\n4 295\n255\n1 156\n364\n1 321\n3 163\n268\n633\n164\nWITH OWN HOUSEHOLD\n438\n777\n3 206\n1 146\n4 154\n4 258\n251\n1 133\n364\n1 313\n3 095\n268\n613\n164\nWITH OWN CHILDREN UNDER 6.\n119\n231\n1 233\n258\n1 775\n1 189\n126\n541\n105\n578\n1 536\n84\n370\n52\nWITH OWN CHILDREN UNDER 18\n193\n437\n2 007\n596\n3 044\n2 322\n191\n802\n217\n954\n2 338\n151\n490\n105\nWITH HUSBAND UNDER 45.\n200\n383\n1 953\n526\n3 064\n2 169\n175\n812\n204\n964\n2 394\n137\n426\n102\nWITH OWN CHILDREN UNDER 18\n127\n283\n1 565\n369\n2 594\n1 528\n163\n702\n168\n840\n2 001\n107\n391\n75\nUNRELATED INDIVIOUALS*\n925\n440\n725\n348\n317\n1 689\n4\n79\n11\n110\n274\n23\n98\n246\nPERSONS UNDER 18 YEARS OLD*\n776\n1 182\n5 621\n1 226\n6 786\n5 962\n442\n2 175\n482\n2 227\n6 188\n368\n1 756\n300\nLIVING WITH BOTH PARENTS\n652\n905\n4 654\n1 025\n6 365\n4 424\n420\n1 911\n458\n2 077\n5 600\n341\n1 581\n245\n*SCHOOL ENROLLMENT\nTOTAL ENROLLED. 5 TO 34 YEARS OLD.\n432\n852\n3 590\n981\n4 279\n5 053\n262\n1 245\n342\n1 218\n3 509\n203\n820\n353\nKINDERGARTEN\n12\n76\n14\n67\n69\n12\n20\n4\n17\n121\n...\n16\n...\nPUBLIC\n8\n33\n...\n23\n37\n...\n12\n...\n6\n39\n...\n...\n...\nELEMENTARY (1 TO 8 YEARS)\n295\n516\n2 664\n533\n3 067\n2 232\n175\n937\n226\n925\n2 585\n134\n726\n107\nPUBLIC\n241\n512\n2 435\n474\n2 733\n2 133\n171\n878\n215\n869\n2 345\n117\n623\n89\nHIGH SCHOOL (1 TO 4 YEARS)\n83\n186\n541\n285\n852\n1 025\n68\n221\n80\n220\n568\n58\n70\n65\nPUBLIC\n76\n182\n492\n268\n824\n984\n68\n221\n80\n202\n555\n55\n70\n65\nCOLLEGE\n54\n138\n309\n149\n293\n1 727\n7\n67\n32\n56\n235\n11\n8\n181\n*YEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER\n1 988\n2 896\n7 325\n2 663\n8 312\n10 251\n548\n2 324\n756\n2 578\n6 429\n508\n1 239\n414\nNO SCHOOL YEARS COMPLETED\n161\n117\n266\n4\n24\n579\n...\n26\n4\n20\n127\n15\n215\n11\nELEMENTARY: 1 TO 4 YEARS\n248\n395\n484\n41\n214\n144\n...\n206\n5\n89\n424\n63\n316\n28\n5 TO 7 YEARS\n267\n649\n1 182\n228\n769\n277\n4\n389\n12\n299\n629\n116\n340\n60\n8 YEARS\n266\n337\n968\n187\n718\n290\n8\n211\n19\n328\n456\n44\n87\n37\nHIGH SCHOOL: 1 TO 3 YEARS\n269\n500\n1 395\n648\n1 530\n795\n111\n419\n87\n680\n1 020\n123\n181\n85\n4 YEARS\n349\n395\n1 705\n738\n2 593\n2 056\n185\n633\n295\n781\n1 713\n118\n66\n96\nCOLLEGE:\n1 TO 3 YEARS\n276\n274\n843\n501\n1 291\n2 479\n124\n292\n139\n249\n1 078\n22\n21\n43\n4 YEARS OR MORE\n152\n229\n482\n316\n1 173\n3 631\n116\n148\n195\n132\n982\n7\n13\n54\nMEDIAN SCHOOL YEARS COMPLETED.\n9.6\n8.9\n10.6\n12.3\n12.3\n14.2\n12.8\n11.4\n12.9\n11.4\n12.3\n9.4\n5.8\n11.5\n*RESIDENCE IN 1955\nPERSONS 5 YEARS OLD AND OVER. 1960\n2 931\n4 153\n12 607\n4 051\n14 241\n17 097\n898\n4 196\n1 155\n4 439\n11\n287\n856\n2 692\n852\nSAME HOUSE AS IN 1960\n1 003\n2 007\n4 759\n1 809\n5 226\n7 701\n...\n1 262\n189\n1 333\n3 181\n401\n1 368\n151\nDIFFERENT HOUSE IN U.S.\n1 627\n2 008\n7 348\n2 168\n8 652\n9 023\n850\n2 875\n915\n2 898\n7 684\n451\n1 264\n594\nCENTRAL CITY OF THIS SMSA.\n984\n1 018\n4 128\n1 126\n4 439\n3 638\n575\n1 663\n580\n1 472\n3 996\n311\n617\n210\nOTHER PART OF THIS SMSA\n118\n61\n313\n106\n237\n63\n15\n142\n16\n169\n216\n9\n203\n32\nOUTSIDE THIS SMSA.\n525\n929\n2 907\n936\n3 976\n5 322\n260\n1 070\n319\n1 257\n3 472\n131\n444\n352\nNORTH AND WEST\n60\n130\n360\n168\n547\n691\n52\n149\n59\n306\n716\nB\n88\n117\nSOUTH.\n465\n799\n2 547\n768\n3 429\n4 631\n208\n921\n260\n951\n2 756\n123\n356\n235\nABROAD\n28\n27\n232\n42\n144\n232\n32\n37\n42\n125\n309\n4\n36\n40\nMOVED, RESIDENCE IN 1955 NOT REPORTED.\n273\n111\n268\n32\n219\n141\n16\n22\n9\n83\n113\n...\n24\n67\n*FAMILY INCOME IN 1959\nALL FAMILIES\n619\n987\n3 603\n1 322\n4 399\n4 706\n268\n1 251\n385\n1 400\n3 321\n273\n673\n195\nUNDER $1,000\n37\n45\n93\n31\n110\n112\n4\n73\n5\n35\n59\n23\n68\n...\n$1,000 TO $1,999\n114\n124\n232\n71\n98\n187\n...\n118\n13\n28\n137\n31\n107\n14\n$2,000 TO $2,999\n109\n124\n424\n109\n237\n270\n...\n114\n4\n92\n247\n45\n193\n36\n$3,000 TO $3,999\n90\n139\n504\n89\n363\n392\n5\n124\n17\n172\n406\n25\n105\n30\n$4,000 to $4,999\n75\n141\n545\n151\n515\n452\n4\n129\n7\n262\n403\n53\n75\n20\n$5,000 TO $5,999\n56\n94\n499\n152\n724\n401\n48\n211\n17\n237\n434\n30\n70\n27\n$6,000 TO $6,999\n35\n58\n325\n220\n681\n362\n29\n157\n45\n218\n410\n14\n25\n26\n$7,000 TO $7,999\n14\n91\n323\n171\n530\n253\n21\n144\n28\n133\n380\n28\n19\n17\n$8,000 TO $8,999\n11\n50\n225\n71\n385\n305\n32\n89\n54\n90\n225\n7\n11\n3\n$9,000 TO $9,999\n20\n44\n138\n61\n247\n256\n24\n42\n31\n55\n237\n...\n...\n4\n$10,000 TO $14,999\n21\n57\n256\n123\n405\n830\n80\n37\n98\n66\n297\n14\n...\n14\n$15,000 TO $24,999\n17\n8\n21\n57\n96\n525\n13\n13\n40\n12\n74\n3\n...\n4\n$25,000 AND OVER\n20\n12\n18\n16\n8\n361\n8\n...\n26\n...\n12\n...\n...\n...\nMEDIAN INCOME: FAMILIES\n$3 550\n$4 436\n$5 007\n$6\n264\n$6\n224\n$7\n700\n$8 719\n$5\n320\n$9\n081\n$5 468\n$5\n941\n44\n236\n$2 837\n...\nFAM. & UNREL. INDIV.\n$2 523\n$3 656\n$4 491\n$5 506\n$6\n016\n$6\n043\n$8 656\n$5\n196\n$9 029\n$5 253\n$5 671\n$4 075\n$2 632\n$2\n009\nReproduced at the National Archives\n51\n16\nCensus Tracts\nTable P-1.-GENERAL CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960-Con.\n(Asterisk (*) denotes statistics based on 25-percent sample. Population per household not shown where less than 50 persons in households. Median not shown where base is less than 200]\nBALANCE OF TRAVIS COUNTY\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nRACE AND COUNTRY OF ORIGIN\nTOTAL POPULATION\n15\n3\n4 040\n5 402\n2 136\n14\n350\n3 781\n5 077\n4 773\nWHITE.\n15\n3 913\n4 948\n2 127\n14\n279\n2 893\n4 519\n4 395\nNEGRO\n125\n453\n7\n70\n887\n536\n372\nOTHER RACES.\n2\n1\n2\n1\n1\n22\n6\nWHITE SPANISH SURNAME: NATIVE*\n151\n322\n8\n46\n613\n329\n508\nFOREIGN BORN*\n39\n12\n...\n3\n57\n44\n68\nTOTAL FOREIGN STOCK*\n272\n687\n159\n42\n546\n505\n578\nFOREIGN BORN\n61\n62\n25\n7\n69\n170\n117\nNATIVE. FOR. OR MIXED PARENTAGE.\n211\n625\n134\n...\n35\n477\n335\n461\nUNITED KINGDOM\n20\n20\n12\n...\n4\n12\n100\n38\nIRELAND (EIRE)\n4\n8\n8\n4\nNORWAY\n...\n8\n...\n4\n...\nSWEDEN\n16\n154\n36\n11\n54\n17\n80\nGERMANY\n89\n301\n28\n4\n41\n83\n150\nPOLAND\n8\n...\n9\n4\nCZECHOSLOVAKIA\n18\n4\n13\n8\n4\nAUSTRIA.\n4\n...\n...\n4\n4\n5\nHUNGARY\n5\n...\n8\n...\nU.S.S.R.\n7\n...\n4\n...\n4\nITALY.\n5\n4\n4\n9\n20\n12\nCANADA\n9\n43\n9\n...\n45\n9\nMEXICO\n109\n91\n4\n23\n376\n114\n226\nALL OTHER AND NOT REPORTED\n12\n44\n50\n25\n85\n42\nHOUSEHOLD RELATIONSHIP\nPOPULATION IN HOUSEHOLDS\n15\n3 995\n5 355\n2 136\n14\n350\n2 513\n4 294\n4 558\nHEAD OF HOUSEHOLD.\n8\n1 229\n1 510\n687\n4\n91\n692\n1 125\n1 225\nHEAD OF PRIMARY FAMILY\n4\n1 080\n1 389\n597\n4\n80\n584\n1 070\n1 113\nPRIMARY INDIVIDUAL\n4\n149\n121\n90\n...\n11\n108\n55\n112\nWIFE OF HEAD\n4\n1 007\n1 293\n552\n4\n74\n500\n1 016\n1 039\nCHILD UNDER 18 OF HEAD\n1\n1 276\n1 965\n663\n3\n144\n805\n1 882\n1 764\nOTHER RELATIVE OF HEAD\n1\n437\n558\n206\n3\n37\n477\n261\n506\nNONRELATIVE OF HEAD.\n1\n46\n29\n28\n...\n4\n39\n10\n24\nPOPULATION IN GROUP QUARTERS\n45\n47\n...\n...\n1 268\n783\n215\nINMATE OF INSTITUTION.\n27\n43\n...\n...\n1 242\n1782\n87\nOTHER.\n18\n4\n...\n...\n26\n1\n128\nPOPULATION PER HOUSEHOLD\n3.25\n3.55\n3.11\n3.85\n3.63\n3.82\n3.72\nMARRIED COUPLES*\n4\n1 035\n1 401\n617\n4\n86\n549\n1 037\n1 051\nWITH OWN HOUSEHOLD\n4\n1 017\n1 359\n599\n4\n83\n508\n1 005\n1 039\nWITH OWN CHILDREN UNDER 6.\n261\n450\n181\n4\n28\n158\n576\n300\nWITH OWN CHILDREN UNDER 18\n513\n835\n334\n4\n46\n271\n817\n620\nWITH HUSBAND UNDER 45.\n4\n458\n720\n298\n4\n51\n229\n868\n459\nWITH OWN CHILDREN UNDER 18\n352\n609\n230\n4\n32\n196\n749\n392\nUNRELATED INDIVIDUALS*\n4\n224\n87\n76\n...\n7\n112\n878\n243\nPERSONS UNDER 18 YEARS OLD*\n1 364\n2 101\n662\n5\n154\n1 038\n1 953\n1 966\nLIVING WITH BOTH PARENTS*\n1 285\n1 962\n621\n5\n148\n807\n1 838\n1 672\n*SCHOOL ENROLLMENT\nTOTAL ENROLLED. 5 TO 34 YEARS OLD.\n8\n930\n1 282\n465\n78\n574\n1 034\n1 281\nKINDERGARTEN\n...\n4\n15\n6\n10\n20\n5\nPUBLIC\n...\n4\n6\n6\n8\n5\nELEMENTARY (1 TO 8 YEARS)\n660\n923\n295\n42\n449\n804\n859\nPUBLIC\n639\n856\n275\n42\n449\n713\n825\nHIGH SCHOOL (1 TO 4 YEARS)\n187\n305\n111\n22\n107\n163\n283\nPUBLIC\n187\n305\n104\n22\n103\n127\n283\nCOLLEGE\n8\n83\n50\n44\n8\n8\n47\n134\n*YEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER.\n2 354\n2 973\n1 318\n8\n189\n2 349\n2 022\n2 393\nNO SCHOOL YEARS COMPLETED\n42\n70\n12\n24\n987\n74\n150\nELEMENTARY: 1 TO 4 YEARS\n167\n282\n37\n15\n275\n130\n218\n5 TO 7 YEARS\n408\n616\n136\n58\n361\n183\n475\n8 YEARS\n350\n306\n99\n10\n177\n221\n260\nHIGH SCHOOL: 1 TO 3 YEARS.\n469\n487\n192\n8\n25\n224\n370\n482\n4 YEARS\n553\n703\n223\n33\n178\n754\n527\nCOLLEGE:\n1 TO 3 YEARS\n199\n265\n263\n6\n92\n174\n166\n4 YEARS OR MORE\n166\n244\n356\n18\n55\n116\n115\nMEDIAN SCHOOL YEARS COMPLETED\n10.3\n10.3\n12.8\n...\n3.7\n12.0\n9.6\n*RESIDENCE IN 1955\nPERSONS 5 YEARS OLD AND OVER, 1960\n12\n3 683\n4 736\n1 946\n8\n302\n3 494\n4 236\n4 205\nSAME HOUSE AS IN 1960\n1 706\n1 994\n781\n118\n2 107\n590\n1 888\nDIFFERENT HOUSE IN U.S.\n12\n1 896\n2.628\n1 095\n8\n159\n1 367\n3 038\n2 215\nCENTRAL CITY OF THIS SMSA\n4\n834\n943\n529\n84\n407\n340\n861\nOTHER PART OF THIS SMSA\n481\n706\n228\n8\n27\n443\n274\n676\nOUTSIDE THIS SMSA.\n8\n581\n979\n338\n48\n517\n2 424\n678\nNORTH AND WEST\n79\n82\n107\n13\n25\n990\n230\nSOUTH.\n8\n502\n897\n231\n35\n492\n1 434\n448\nABROAD\n28\n54\n58\n...\n5\n453\n42\nMOVED, RESIDENCE IN 1955 NOT REPORTED.\n53\n60\n12\n25\n15\n155\n60\n*FAMILY INCOME IN 1959\nALL FAMILIES\n4\n1 069\n1 438\n635\n4\n90\n581\n1 049\n1 137\nUNDER $1,000\n67\n103\n28\n11\n81\n36\n68\n$1,000 TO $1,999\n4\n94\n178\n30\n...\n4\n93\n74\n117\n$2,000 TO $2,999\n125\n149\n38\n4\n26\n78\n175\n148\n$3,000 TO $3,999\n112\n165\n29\n15\n91\n177\n173\n$4,000 TO $4,999\n175\n139\n53\n10\n71\n167\n162\n$5,000 TO $5,999\n104\n146\n54\n47\n125\n164\n$6,000 TO $6,999\n120\n178\n43\n8\n38\n90\n88\n$7,000 TO $7,999\n78\n95\n61\n25\n42\n52\n$8,000 TO $8,999\n39\n94\n45\n4\n12\n52\n36\n$9,000 TO $9,999\n18\n32\n27\n4\n22\n19\n28\n$10,000 TO $14,999\n92\n107\n136\n8\n15\n70\n64\n$15,000 TO $24,999\n32\n31\n61\n...\n22\n33\n$25,000 AND OVER\n13\n21\n30\n8\n...\n4\nMEDIAN INCOME: FAMILIES\n$4 780\n$4 892\n$7 697\n$3 423\n$4 374\n$4 386\nReproduced National Archives\n$4 278\n$4 606\n$7 221\n$2 918\n$2 687\n$3 867\n1 THESE PERSONS ARE \"OTHER\" PERSONS IN GROUP QUARTERS MISCLASSIFIED AS INMATES OF INSTITUTIONS.\n52\nCensus Tracts\n17\nTable P-1.-GENERAL CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960-Con.\n[Asterisk (*) denotes statistics based on 23-percent sample. Population per household not shown where less than 50 persons in households. Median not shown where base is less than 200]\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nRACE AND COUNTRY OF ORIGIN\nTOTAL POPULATION\n6 874\n11 767\n16 494\n5 064\n10 395\n3 448\n5 340\n14 035\n4 754\n8 446\n5 731\nWHITE.\n6 616\n11 754\n16 448\n4 937\n8 722\n3 437\n5 321\n11 357\n3 866\n7 450\n5 344\nNEGRO.\n253\n1\n42\n125\n1 666\n9\n5\n2 666\n887\n972\n378\nOTHER RACES\n5\n12\n4\n2\n7\n2\n14\n12\n1\n24\n9\nWHITE. SPANISH SURNAME: NATIVE*\n73\n274\n401\n167\n390\n47\n130\n1 438\n716\n2 136\n538\nFOREIGN BORN*.\n44\n16\n39\n12\n12\n91\n61\n173\n84\nTOTAL FOREIGN STOCK*\n450\n1 515\n1 077\n345\n857\n190\n416\n1 107\n629\n1 245\n699\nFOREIGN BORN\n96\n252\n171\n73\n92\n32\n113\n186\n85\n315\n165\nNATIVE. FOR. OR MIXED PARENTAGE.\n354\n1 263\n906\n272\n765\n158\n303\n921\n544\n930\n534\nUNITED KINGDOM\n47\n97\n83\n24\n25\n16\n59\n55\n15\n112\n67\nIRELAND (EIRE)\n12\n20\n8\n...\n...\n4\n8\n6\n12\n16\n16\nNORWAY\n8\n4\n12\n...\n4\n11\n...\n8\n...\n4\nSWEDEN\n28\n339\n109\n16\n181\n36\n20\n70\n58\n24\n80\nGERMANY\n99\n334\n274\n134\n353\n36\n86\n146\n59\n91\n162\nPOLAND\n16\n20\n24\n4\n12\n...\n4\n16\n4\n18\n24\nCZECHOSLOVAKIA\n12\n55\n70\n...\n35\n4\n16\n23\n20\n13\n4\nAUSTRIA\n8\n8\n32\n8\n13\n8\n4\n4\n5\nHUNGARY.\n5\n12\n5\n5\n4\n4\n8\n8\nU.S.S.R.\n32\n8\n16\n7\n4\n7\n17\n4\n...\n4\nITALY.\n7\n23\n48\n5\n12\n8\n30\n16\n9\n24\n20\nCANADA\n48\n24\n74\n17\n63\n13\n25\n24\n...\n49\n9\nMEXICO\n17\n147\n149\n113\n111\n4\n79\n590\n403\n785\n230\nALL OTHER AND NOT REPORTED\n116\n431\n166\n20\n44\n58\n65\n124\n33\n97\n78\nHOUSEHOLD RELATIONSHIP\nPOPULATION IN HOUSEHOLDS\n6 682\n11 552\n16 431\n5 019\n10 321\n3 448\n5 310\n13 973\n3 486\n7 651\n5 286\nHEAD OF HOUSEHOLD.\n2 023\n4 035\n4 637\n1 501\n2 827\n1 080\n1 478\n3 603\n981\n1 865\n1 452\nHEAD OF PRIMARY FAMILY\n1 826\n3 344\n4 367\n1 346\n2 606\n974\n1 398\n3 400\n846\n1 745\n1 312\nPRIMARY INDIVIDUAL\n197\n691\n270\n155\n221\n106\n80\n203\n135\n120\n140\nWIFE OF HEAD\n1 720\n2 878\n4 100\n1 260\n2 406\n910\n1 320\n3 143\n746\n1 621\n1 211\nCHILD UNDER 18 OF HEAD\n2 490\n3 077\n6 621\n1 704\n4 002\n1 140\n2 180\n5 989\n1 129\n3 478\n2 011\nOTHER RELATIVE OF HEAD\n394\n1 319\n987\n502\n1 036\n280\n313\n1 126\n583\n657\n584\nNONRELATIVE OF HEAD.\n55\n243\n86\n52\n50\n38\n19\n112\n47\n30\n28\nPOPULATION IN GROUP QUARTERS\n192\n215\n63\n45\n74\n30\n62\n1 268\n795\n445\nINMATE OF INSTITUTION\n192\n113\n59\n27\n69\n...\n30\n27\n1 242\n782\n111\nOTHER.\n102\n4\n18\n5\n...\n35\n26\n13\n334\nPOPULATION PER HOUSEHOLD\n3.30\n2.86\n3.54\n3.34\n3.65\n3.19\n3.59\n3.88\n3.55\n4.10\n3.64\nMARRIED COUPLES*\n1 747\n2 946\n4 188\n1 290\n2 557\n981\n1 325\n3 249\n817\n1 670\n1 215\nWITH OWN HOUSEHOLD\n1 743\n2 881\n4 154\n1 268\n2 492\n963\n1 317\n3 178\n776\n1 618\n1 203\nWITH OWN CHILDREN UNDER 6.\n625\n786\n1 775\n387\n991\n286\n582\n1 564\n242\n946\n352\nWITH OWN CHILDREN UNDER 18\n1 161\n1 440\n3 044\n704\n1 637\n551\n958\n2 384\n422\n1 307\n725\nWITH HUSBAND UNDER 45\n999\n1 416\n3 064\n633\n1 532\n502\n968\n2 445\n366\n1 294\n561\nWITH OWN CHILDREN UNDER 18\n870\n1 041\n2 594\n515\n1 311\n398\n844\n2 033\n303\n1 140\n467\nUNRELATED INDIVIDUALS*\n231\n937\n317\n228\n166\n87\n110\n281\n135\n976\n489\nPERSONS UNDER 18 YEARS OLD\n2 679\n3 301\n6 786\n1 806\n4 276\n1 144\n2 232\n6 342\n1 406\n3 709\n2 266\nLIVING WITH BOTH PARENTS\n2 308\n2 784\n6 365\n1 705\n3 873\n1 079\n2 082\n5 748\n1 148\n3 419\n1 917\n*SCHOOL ENROLLMENT\nTOTAL ENROLLED. 5 TO 34 YEARS OLD.\n2 022\n2 537\n4 279\n1 192\n2 527\n807\n1 218\n3 587\n777\n1 854\n1 634\nKINDERGARTEN\n94\n44\n67\n12\n24\n19\n17\n127\n10\n36\n5\nPUBLIC\n17\n14\n23\n...\n12\n4\n6\n45\n6\n8\n5\nELEMENTARY (1 TO 8 YEARS)\n1 325\n1 425\n3 067\n835\n1 860\n521\n925\n2 627\n583\n1 530\n966\nPUBLIC\n1 219\n1 352\n2 733\n810\n1 734\n490\n869\n2 387\n566\n1 336\n914\nHIGH SCHOOL (1 TO 4 YEARS)\n402\n553\n852\n255\n526\n191\n220\n590\n165\n233\n348\nPUBLIC\n392\n509\n824\n255\n526\n184\n202\n577\n158\n197\n348\nCOLLEGE.\n201\n515\n293\n90\n117\n76\n56\n243\n19\n55\n315\n*YEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER.\n3 702\n7 072\n8 312\n2 902\n5 297\n2 074\n2 586\n6 618\n2 857\n3 261\n2 807\nNO SCHOOL YEARS COMPLETED\n4\n73\n24\n42\n96\n16\n20\n151\n1 002\n289\n161\nELEMENTARY:\n1 TO 4 YEARS\n11\n295\n214\n167\n488\n42\n89\n439\n338\n446\n246\n5 TO 7 YEARS\n114\n1 080\n769\n412\n1 005\n148\n299\n687\n477\n523\n535\n8 YEARS\n116\n964\n718\n358\n517\n118\n328\n466\n221\n308\n297\nHIGH SCHOOL:\n1 TO 3 YEARS\n414\n1 284\n1 530\n580\n906\n279\n688\n1 045\n347\n551\n567\n4 YEARS\n872\n1 505\n2 593\n738\n1 336\n518\n781\n1 746\n296\n820\n623\nCOLLEGE:\n1 TO 3 YEARS\n847\n1 070\n1 291\n323\n557\n402\n249\n1 084\n114\n195\n209\n4 YEARS OR MORE\n1 324\n801\n1 173\n282\n392\n551\n132\n1 000\n62\n129\n169\nMEDIAN SCHOOL YEARS COMPLETED\n14.1\n11.6\n12.3\n11.4\n10.8\n12.8\n11.4\n12.3\n5.6\n9.4\n9.9\n*RESIDENCE IN 1955\nPERSONS 5 YEARS OLD AND OVER, 1960\n6 174\n10 695\n14 241\n4 581\n8 932\n3 101\n4 447\n11 589\n4 350\n6 928\n5 057\nSAME HOUSE AS IN 1960.\n2 509\n5 193\n5 226\n1 706\n3 256\n970\n1 333\n3 299\n2 508\n1 958\n2 039\nDIFFERENT HOUSE IN U.S\n3 453\n5 027\n8 652\n2 746\n5 503\n2 010\n2 906\n7 843\n1 818\n4 302\n2 809\nCENTRAL CITY OF THIS SMSA,\n1 683\n2 832\n4 439\n1 409\n2 606\n1 109\n1 472\n4 080\n718\n957\n1 071\nOTHER PART OF THIS SMSA\n106\n107\n237\n496\n848\n244\n177\n243\n452\n477\n708\nOUTSIDE THIS SMSA.\n1 664\n2 088\n3 976\n841\n2 049\n657\n1 257\n3 520\n648\n2 868\n1 030\nNORTH AND WEST\n244\n280\n547\n131\n231\n166\n306\n729\n33\n1 078\n347\nSOUTH.\n1 420\n1 808\n3 429\n710\n1 818\n491\n951\n2 791\n615\n1 790\n683\nABROAD\n119\n146\n144\n60\n91\n100\n125\n309\n9\n489\n82\nMOVED, RESIDENCE IN 1955 NOT REPORTED.\n93\n329\n219\n69\n82\n21\n83\n138\n15\n179\n127\n*FAMILY INCOME IN 1959\nALL FAMILIES\n1 835\n3 357\n4 399\n1 337\n2 689\n1 020\n1 404\n3 411\n854\n1 722\n1 332\nUNDER $1,000\n42\n126\n110\n71\n176\n33\n35\n70\n104\n104\n68\n$1,000 TO $1,999\n51\n177\n98\n94\n296\n43\n28\n141\n124\n181\n131\n$2,000 TO $2,999\n57\n340\n237\n125\n263\n42\n96\n273\n123\n368\n184\n$3,000 TO $3,999\n69\n443\n363\n117\n289\n46\n172\n421\n116\n282\n203\n$4,000 TO $4,999\n122\n523\n515\n179\n268\n60\n262\n413\n124\n242\n182\n$5,000 TO $5,999\n148\n477\n724\n152\n357\n71\n237\n434\n77\n195\n191\n$6,000 TO $6,999\n175\n344\n681\n149\n335\n88\n218\n418\n52\n115\n114\n$7,000 TO $7,999\n167\n259\n530\n99\n239\n89\n133\n380\n53\n61\n69\n$8,000 TO $8,999\n101\n188\n385\n71\n183\n99\n90\n229\n19\n63\n39\n$9,000 TO $9,999\n146\n124\n247\n42\n74\n58\n55\n241\n22\n19\n32\n$10,000 TO $14,999\n424\n259\n405\n172\n144\n234\n66\n305\n29\n70\n78\n$15,000 TO $24,999\n222\n71\n96\n45\n44\n101\n12\n74\n3\n22\n37\n$25,000 AND OVER\n111\n26\n8\n21\n21\n56\n...\n12\n8\n...\n4\nMEDIAN INCOME: FAMILIES\n$8 856\n$5\n146\n$6 224\n$5 543\n55 147\n$8 384\n$5 460\n$5 893\n$3 655\n$3 738\n$4 440\nFAM. & UNREL. INDIV.\n$7 900\n$4 485\n$6 016\n$4 923\n14 958\n$8 076\n$5 245\n$5 614\n$3 214\n$2 665\n$3 456\nReproduced at the National Archives\n53\n18\nCensus Tracts\nTable P-2.--AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960\n[Median not shown where base is less than 50]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\n0001\n0002\n0003\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL\n105 791\n106 345\n91 551\n94 994\n14 240\n11 351\n3 315\n3 544\n5 933\n6 442\n5 509\n6 255\nUNDER 1 YEAR\n2 660\n2 475\n2 349\n2 201\n311\n274\n69\n56\n116\n81\n125\n134\n1 YEAR\n2 557\n2 421\n2 245\n2 124\n312\n297\n65\n57\n86\n90\n119\n121\n2 YEARS\n2 499\n2 416\n2 181\n2 137\n318\n279\n57\n79\n103\n86\n90\n102\n3 YEARS\n2 365\n2 300\n2 075\n2 024\n290\n276\n85\n87\n85\n85\n102\n100\n4 YEARS\n2 368\n2 151\n2 056\n1 877\n312\n274\n81\n61\n89\n77\n93\n83\n5 YEARS\n2 274\n2 129\n1 991\n1 858\n283\n271\n86\n84\n95\n63\n91\n84\n6 YEARS\n2 170\n2 175\n1 877\n1 888\n293\n287\n92\n80\n91\n77\n84\n72\n7 YEARS\n2 170\n2 181\n1 849\n1 927\n321\n254\n84\n89\n93\n89\n95\n80\n8 YEARS.\n2 008\n1 947\n1 762\n1 696\n246\n251\n87\n91\n98\n97\n87\n79\n9 YEARS.\n2 038\n1 960\n1 761\n1 724\n277\n236\n77\n102\n65\n85\n100\n68\n10 YEARS\n2 031\n1 929\n1 747\n1 699\n284\n230\n77\n73\n93\n96\n88\n86\n11 YEARS\n1 983\n1 816\n1 723\n1 597\n260\n219\n74\n71\n83\n95\n100\n99\n12 YEARS\n1 932\n1 942\n1 675\n1 706\n257\n236\n87\n85\n92\n93\n88\n85\n13 YEARS\n2 065\n1 861\n1 798\n1 632\n267\n229\n67\n77\n120\n94\n85\n111\n14 YEARS\n1 655\n1 477\n1 436\n1 279\n219\n198\n64\n66\n99\n69\n84\n81\n15 YEARS\n1 641\n1 539\n1 402\n1 344\n239\n195\n66\n71\n123\n96\n71\nBO\n16 YEARS\n1 626\n1 525\n1 399\n1 369\n227\n156\n58\n63\n113\n82\n82\n92\n17 YEARS\n1 528\n1 554\n1 289\n1 397\n239\n157\n63\n53\n85\n103\n95\n84\n18 YEARS\n2 307\n2 312\n2 056\n2 179\n251\n133\n43\n35\n61\n70\n71\n95\n19 YEARS\n2 778\n2 743\n2 489\n2 624\n289\n119\n39\n38\n68\n87\n72\n116\n20 YEARS\n2 713\n2 520\n2 413\n2 392\n300\n128\n18\n35\n84\n93\n88\n99\n21 YEARS AND OVER.\n60 423\n62 972\n51 978\n56 320\n8 445\n6 652\n1 876\n2 091\n3 991\n4 634\n3 599\n4 304\nTOTAL\n105 791\n106 345\n91 551\n94 994\n14 240\n11 351\n3 315\n3 544\n5 933\n6 442\n5 509\n6 255\nUNDER 5 YEARS\n12 449\n11 763\n10 906\n10 363\n1 543\n1 400\n357\n340\n479\n419\n529\n540\n5 TO 9 YEARS\n10 660\n10 392\n9 240\n9 093\n1 420\n1 299\n426\n446\n442\n411\n457\n383\n10 TO 14 YEARS\n9 666\n9 025\n8 379\n7 913\n1 287\n1 112\n369\n372\n487\n447\n445\n462\n15 TO 19 YEARS\n9 880\n9 673\n8 635\n8 913\n1 245\n760\n269\n260\n450\n438\n391\n467\n20 TO 24 YEARS\n11 588\n9 978\n10 377\n9 296\n1 211\n682\n133\n169\n452\n378\n533\n505\n25 TO 29 YEARS\n8 167\n7 090\n7 128\n6 356\n1 039\n734\n151\n197\n377\n312\n396\n328\n30 TO 34 YEARS\n6 545\n6 736\n5 589\n5 942\n956\n794\n230\n309\n370\n382\n289\n303\n35 TO 39 YEARS\n6 624\n6 803\n5 595\n5 982\n1 029\n821\n303\n336\n391\n441\n302\n357\n40 TO 44 YEARS\n5 776\n6 082\n4 857\n5 427\n919\n655\n300\n292\n466\n488\n354\n425\n45 TO 49 YEARS\n5 581\n6 050\n4 790\n5 369\n791\n681\n267\n244\n466\n588\n370\n439\n50 TO 54 YEARS\n4 994\n5 391\n4 237\n4 747\n757\n644\n175\n193\n458\n513\n334\n413\n55 TO 59 YEARS\n3 993\n4 426\n3 387\n3 954\n606\n472\n148\n137\n351\n461\n299\n379\n60 TO 64 YEARS\n3 002\n3 729\n2 575\n3 309\n427\n420\n74\n90\n276\n417\n258\n347\n65 TO 69 YEARS\n2 607\n3 220\n2 186\n2 848\n421\n372\n60\n75\n170\n247\n212\n283\n70 TO 74 YEARS\n1 955\n2 528\n1 662\n2 313\n293\n215\n29\n35\n113\n204\n157\n240\n75 TO 79 YEARS\n1 261\n1 752\n1 081\n1 611\n180\n141\n12\n26\n106\n153\n99\n187\n80 TO 84 YEARS\n643\n1 012\n576\n910\n67\n102\n8\n18\n52\n76\n49\n107\n85 YEARS AND OVER.\n400\n695\n351\n648\n49\n47\n4\n5\n27\n67\n35\n90\nMEDIAN AGE\n24.4\n26.7\n24.2\n26.5\n27.0\n27.9\n28.4\n29.7\n33.8\n39.9\n30.1\n37.0\nWHITE.\n92 875\n92 037\n79 985\n81 821\n12 890\n10 216\n3 185\n3 416\n5 540\n5 960\n5 503\n6 248\nUNDER 5 YEARS\n10 702\n10 101\n9 321\n8 854\n1 381\n1 247\n354\n333\n478\n417\n527\n540\n5 TO 9 YEARS\n9 080\n8 846\n7 805\n7 676\n1 275\n1 170\n405\n428\n440\n411\n456\n383\n10 TO 14 YEARS\n8 265\n7 709\n7 100\n6 723\n1 165\n986\n328\n345\n485\n446\n445\n462\n15 TO 19 YEARS\n8 783\n8 492\n7 687\n7 838\n1 096\n654\n229\n231\n438\n438\n391\n467\n20 TO 24 YEARS\n10 697\n9 007\n9 589\n8 382\n1 108\n625\n126\n153\n434\n370\n533\n504\n25 TO 29 YEARS\n7 277\n6 124\n6 327\n5 451\n950\n673\n148\n189\n350\n290\n393\n326\n30 TO 34 YEARS\n5 772\n5 789\n4 892\n5 059\n880\n730\n226\n305\n328\n347\n289\n301\n35 TO 39 YEARS\n5 882\n5 909\n4 913\n5 141\n969\n768\n301\n335\n351\n399\n302\n357\n40 TO 44 YEARS\n5 167\n5 290\n4 314\n4 676\n853\n614\n296\n288\n423\n437\n354\n425\n45 TO 49 YEARS\n4 918\n5 244\n4 186\n4 613\n732\n631\n267\n241\n423\n518\n370\n439\n50 TO 54 YEARS\n4 329\n4 673\n3 635\n4 082\n694\n591\n173\n191\n402\n450\n334\n413\n55 TO 59 YEARS\n3 475\n3 762\n2 945\n3 343\n530\n419\n146\n131\n313\n395\n299\n378\n60 TO 64 YEARS\n2 639\n3 185\n2 254\n2 818\n385\n367\n74\n87\n248\n347\n258\n347\n65 TO 69 YEARS\n2 214\n2 735\n1 847\n2 425\n367\n310\n59\n75\n153\n226\n212\n283\n70 TO 74 YEARS\n1 704\n2 170\n1 448\n1 984\n256\n186\n29\n35\n104\n186\n157\n240\n75 YEARS AND OVER.\n1 971\n3 001\n1 722\n2 756\n249\n245\n24\n49\n170\n283\n183\n383\nMEDIAN AGE\n24.5\n26.5\n24.2\n26.3\n27.2\n28.2\n30.1\n30.5\n32.2\n38.3\n30.1\n37.0\nNONWHITE\n12 916\n14 308\n11 566\n13 173\n1 350\n1 135\n130\n128\n393\n482\n6\n7\nUNDER 5 YEARS\n1 747\n1 662\n1 585\n1 509\n162\n153\n3\n7\n1\n2\n2\n5 TO 9 YEARS\n1 580\n1 546\n1 435\n1 417\n145\n129\n21\n18\n2\n...\n1\n10 TO 14 YEARS\n1 401\n1 316\n1 279\n1 190\n122\n126\n41\n27\n2\n1\n15 TO 19 YEARS\n1 097\n1 181\n948\n1 075\n149\n106\n40\n29\n12\n...\n20 TO 24 YEARS\n891\n971\n788\n914\n103\n57\n7\n16\n18\n8\n1\n25 TO 29 YEARS\n890\n966\n801\n905\n89\n61\n3\n8\n27\n22\n3\n2\n30 TO 34 YEARS\n773\n947\n697\n883\n76\n64\n4\n4\n42\n35\n2\n35 TO 39 YEARS\n742\n894\n682\n841\n60\n53\n2\n1\n40\n42\n40 TO 44 YEARS\n609\n792\n543\n751\n66\n41\n4\n4\n43\n51\n45 TO 49 YEARS\n663\n806\n604\n756\n59\n50\n3\n43\n70\n50 TO 54 YEARS\n665\n718\n602\n665\n63\n53\n2\n2\n56\n63\n55 TO 59 YEARS\n518\n664\n442\n611\n76\n53\n2\n6\n38\n66\n60 TO 64 YEARS\n363\n544\n321\n491\n42\n53\n3\n28\n70\n65 TO 69 YEARS\n393\n485\n339\n423\n54\n62\n1\n17\n21\n70 TO 74 YEARS\n251\n358\n214\n329\n37\n29\n9\n18\n75 YEARS AND OVER.\n333\n458\n286\n413\n47\n45\n15\n13\n1\nMEDIAN AGE\n23.6\n27.5\n23.4\n27.7\n24.7\n24.7\n15.0\n17.1\n46.1\n50.8\nMARITAL STATUS\nTOTAL 14 YEARS AND OVER\n74 671\n76 642\n64 462\n68 904\n10 209\n7 738\n2 227\n2 452\n4 624\n5 234\n4 162\n4 951\nSINGLE\n25 078\n17 240\n21 231\n16 061\n3 847\n1 179\n428\n419\n1 582\n1 081\n917\n791\nMARRIED.\n45 800\n46 778\n39 854\n40 966\n5 946\n5 812\n1 753\n1 776\n2 692\n3 023\n3 027\n3 088\n1 304\n775\n1 251\n105\n53\n7\n11\n82\n172\n22\n50\nSEPARATED\n880\nWIDOWED.\n1 937\n9 107\n1 711\n8 496\n226\n611\n27\n187\n118\n721\n115\n825\nDIVORCED\n1 856\n3 517\n1 666\n3 381\n190\n136\n19\n70\n232\n409\n103\n247\n9 259\n943\n752\n69\n86\n388\n480\n3\n7\nNONWHITE, 14 YEARS AND OVER.\n8 422\n10 011\n7 479\nSINGLE\n2 714\n2 104\n2 314\n1 927\n400\n177\n52\n57\n212\n124\n1\n1\nMARRIED\n4 851\n5 364\n4 380\n4 917\n471\n447\n13\n18\n119\n210\n2\n6\nSEPARATED\n364\n651\n335\n634\n29\n17\n4\n...\n36\n80\nWIDOWED.\n436\n1 611\n391\n1 519\n45\n92\n2\n6\n18\n65\nDIVORCED\nReproduced at the National Archives 421\n932\n394\n896\n27\n36\n2\n5\n39\n81\nCensus Tracts\n19\nTable P-2.-AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n[Median not shown where base is less than 50]\nAUSTIN-CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0004\n0005\n0006\n0007\n0008\n0009\n0010\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL.\n4 272\n4 202\n1 749\n1 758\n6 065\n5 007\n1 750\n1 844\n7 328\n8 436\n6 232\n6 730\n3 343\n3 413\nUNDER 1 YEAR\n117\n117\n32\n35\n37\n32\n14\n26\n236\n205\n229\n205\n117\n115\n1 YEAR\n101\n75\n26\n28\n22\n25\n20\n18\n227\n205\n214\n207\n113\n99\n2 YEARS\n68\n83\n27\n10\n15\n18\n14\n20\n217\n210\n210\n205\n105\n107\n3 YEARS\n78\n66\n14\n17\n10\n10\n14\n7\n205\n217\n215\n197\n100\n94\n4 YEARS\n82\n57\n11\n13\n16\n4\n11\n22\n210\n207\n203\n162\n102\n86\n5 YEARS\n62\n63\n12\n19\n11\n13\n15\n10\n183\n212\n208\n191\n103\n99\n6 YEARS\n54\n62\n15\n15\n15\n9\n10\n15\n203\n184\n166\n206\n83\n81\n7 YEARS\n63\n55\n21\n21\n9\n12\n8\n7\n206\n204\n159\n175\n72\n92\n8 YEARS\n66\n57\n22\n17\n8\n5\n4\n9\n155\n177\n154\n154\n77\n82\n9 YEARS.\n67\n59\n15\n15\n6\n10\n19\n8\n188\n168\n162\n164\n80\n85\n10 YEARS\n46\n83\n12\n12\n7\n15\n10\n18\n180\n172\n165\n154\n78\n83\n11 YEARS\n59\n62\n8\n14\n8\n9\n19\n16\n198\n191\n155\n128\n78\n73\n12 YEARS\n59\n56\n10\n11\n11\n11\n12\n19\n176\n166\n140\n163\n83\n85\n13 YEARS\n63\n67\n15\n10\n7\n14\n14\n14\n181\n157\n158\n125\n87\n61\n14 YEARS\n56\n46\n18\n9\n8\n9\n19\n13\n139\n134\n112\n135\n83\n73\n15 YEARS\n54\n44\n14\n10\n10\n9\n19\n18\n112\n127\n140\n122\n65\n67\n16 YEARS\n54\n52\n9\n19\n13\n6\n17\n16\n147\n134\n102\n127\n79\n58\n17 YEARS\n61\n59\n11\n16\n63\n89\n17\n29\n125\n137\n85\n105\n60\n67\n18 YEARS\n86\n72\n21\n54\n826\n793\n57\n63\n107\n111\n110\n146\n69\n62\n19 YEARS\n155\n94\n50\n67\n1 209\n1 036\n115\n107\n81\n125\n114\n158\n45\n61\n20 YEARS\n178\n125\n105\n93\n997\n823\n139\n103\n89\n106\n95\n144\n54\n42\n21 YEARS AND OVER.\n2 643\n2 748\n1 281\n1 253\n2 757\n2 055\n1 183\n1 286\n3 763\n4 887\n2 936\n3 357\n1 610\n1 741\nTOTAL\n4 272\n4 202\n1 749\n1 758\n6 065\n5 007\n1 750\n1 844\n7 328\n8 436\n6 232\n6 730\n3 343\n3 413\nUNDER 5 YEARS\n446\n398\n110\n103\n100\n89\n73\n93\n1 095\n1 044\n1 071\n976\n537\n501\n5 TO 9 YEARS\n312\n296\n85\n87\n49\n49\n56\n49\n935\n945\n849\n890\n415\n439\n10 TO 14 YEARS\n283\n314\n63\n56\n41\n58\n74\n80\n874\n820\n730\n705\n409\n375\n15 TO 19 YEARS\n410\n321\n105\n166\n2 121\n1 933\n225\n233\n572\n634\n551\n658\n318\n315\n20 TO 24 YEARS\n854\n496\n585\n340\n2 773\n1 807\n535\n310\n456\n535\n430\n554\n227\n250\n25 TO 29 YEARS\n401\n290\n257\n126\n455\n178\n217\n111\n498\n559\n373\n411\n200\n171\n30 TO 34 YEARS\n238\n242\n75\n67\n137\n69\n90\n71\n423\n566\n303\n371\n172\n181\n35 TO 39 YEARS\n208\n229\n71\n67\n65\n71\n79\n70\n438\n558\n308\n339\n151\n186\n40 TO 44 YEARS\n174\n241\n41\n61\n43\n49\n57\n89\n324\n485\n245\n263\n145\n179\n45 TO 49 YEARS\n225\n264\n40\n79\n37\n63\n57\n90\n359\n481\n289\n295\n171\n183\n50 TO 54 YEARS\n190\n246\n68\n120\n34\n83\n60\n124\n375\n414\n276\n290\n146\n141\n55 TO 59 YEARS\n152\n211\n64\n96\n35\n105\n47\n85\n299\n362\n193\n230\n131\n110\n60 TO 64 YEARS\n113\n180\n59\n105\n40\n119\n39\n99\n187\n272\n167\n180\n82\n100\n65 TO 69 YEARS\n97\n146\n44\n85\n40\n101\n46\n94\n198\n266\n144\n210\n84\n95\n70 TO 74 YEARS\n70\n127\n40\n86\n41\n102\n34\n91\n126\n223\n141\n146\n84\n82\n75 TO 79 YEARS\n53\n88\n22\n53\n29\n72\n30\n79\n93\n140\n87\n115\n44\n52\n80 TO 84 YEARS\n31\n54\n13\n37\n18\n34\n21\n53\n39\n72\n55\n51\n21\n30\n85 YEARS AND OVER.\n15\n59\n7\n24\n7\n25\n10\n23\n37\n60\n20\n46\n6\n23\nMEDIAN AGE\n24.0\n29.8\n24.4\n30.1\n21.3\n21.0\n24.2\n33.2\n22.1\n27.1\n19.2\n21.2\n19.9\n21.5\nWHITE\n3 555\n3 395\n1 740\n1 757\n5 927\n4 934\n1 679\n1 775\n1 226\n1 272\n4 953\n5 071\n3 336\n3 409\nUNDER 5 YEARS\n361\n304\n110\n103\n97\n86\n67\n88\n179\n187\n915\n826\n537\n501\n5 TO 9 YEARS\n212\n223\n85\n87\n49\n49\n54\n42\n145\n141\n701\n757\n415\n439\n10 TO 14 YEARS\n204\n232\n63\n56\n41\n57\n70\n76\n173\n164\n627\n597\n407\n374\n15 TO 19 YEARS\n334\n274\n105\n166\n2 103\n1 908\n220\n229\n110\n111\n450\n425\n316\n313\n20 TO 24 YEARS\n808\n459\n582\n339\n2 716\n1 788\n530\n308\n82\n90\n312\n356\n226\n250\n25 TO 29 YEARS\n362\n226\n255\n126\n416\n166\n207\n104\n78\n72\n288\n307\n200\n171\n30 TO 34 YEARS\n195\n181\n74\n67\n125\n66\n82\n65\n67\n73\n236\n273\n172\n181\n35 TO 39 YEARS\n165\n176\n70\n67\n60\n68\n71\n64\n78\n78\n240\n259\n151\n186\n40 TO 44 YEARS\n132\n181\n41\n61\n41\n49\n50\n87\n59\n72\n189\n195\n145\n179\n45 TO 49 YEARS\n179\n220\n39\n79\n37\n62\n56\n85\n61\n59\n225\n223\n171\n183\n50 TO 54 YEARS\n152\n199\n67\n120\n34\n82\n55\n118\n51\n55\n198\n204\n145\n141\n55 TO 59 YEARS\n131\n177\n64\n96\n35\n103\n44\n83\n40\n39\n149\n149\n130\n110\n60 TO 64 YEARS\n95\n150\n59\n105\n40\n117\n38\n92\n32\n34\n119\n115\n82\n99\n65 TO 69 YEARS\n80\n108\n44\n85\n40\n101\n44\n89\n27\n34\n91\n158\n84\n95\n70 TO 74 YEARS\n60\n107\n40\n86\n40\n102\n32\n90\n18\n26\n101\n93\n84\n82\n75 YEARS AND OVER.\n85\n178\n42\n114\n53\n130\n59\n155\n26\n37\n112\n134\n71\n105\nMEDIAN AGE\n24.1\n29.5\n24.4\n30.1\n21.2\n21.0\n24.0\n33.1\n20.4\n21.8\n17.6\n19.2\n19.9\n21.6\nNONWHITE\n717\n807\n9\n1\n138\n73\n71\n69\n6 102\n7 164\n1 279\n1 659\n7\n4\nUNDER 5 YEARS\n85\n94\n3\n3\n6\n5\n916\n857\n156\n150\n5 TO 9 YEARS\n100\n73\n...\n2\n7\n790\n804\n148\n133\n10 TO 14 YEARS\n79\n82\n...\n1\n4\n4\n701\n656\n103\n108\n2\n1\n15 TO 19 YEARS\n76\n47\n18\n25\n5\n4\n462\n523\n101\n233\n2\n2\n20 TO 24 YEARS\n46\n37\n3\n1\n57\n19\n5\n2\n374\n445\n118\n198\n1\n25 TO 29 YEARS\n39\n64\n2\n39\n12\n10\n7\n420\n487\n85\n104\n30 TO 34 YEARS\n43\n61\n1\n12\n3\nB\n6\n356\n493\n67\n98\n35 TO 39 YEARS\n43\n53\n1\n5\n3\n8\n6\n360\n480\n68\n80\n40 TO 44 YEARS\n42\n60\n2\n7\n2\n265\n413\n56\n68\n45 TO 49 YEARS\n46\n44\n1\n1\n1\n5\n298\n422\n64\n72\n50 TO 54 YEARS\n38\n47\n1\n1\n5\n6\n324\n359\n78\n86\n1\n55 TO 59 YEARS\n21\n34\n2\n3\n2\n259\n323\n44\n81\n1\n60 TO 64 YEARS\n18\n30\n2\n1\n7\n155\n238\n48\n65\n1\n65 TO 69 YEARS\n17\n38\n2\n5\n171\n232\n53\n52\n70 TO 74 YEARS\n10\n20\n1\n2\n1\n108\n197\n40\n53\n75 YEARS AND OVER.\n14\n23\n1\n1\n2\n143\n235\n50\n78\nMEDIAN AGE\n22.0\n30.5\n24.2\n22.0\n32.2\n34.6\n22.4\n28.0\n25.8\n25.4\nMARITAL STATUS\nTOTAL. 14 YEARS AND OVER\n3 287\n3 240\n1 509\n1 521\n5 883\n4 820\n1 566\n1 635\n4 563\n5 761\n3 694\n4 294\n2 065\n2 171\nSINGLE\n1 213\n576\n688\n388\n5 197\n3 800\n935\n608\n1 212\n1 016\n1 125\n1 114\n590\n468\nMARRIED\n1 918\n1 975\n776\n781\n620\n599\n543\n556\n2 891\n3 222\n2 211\n2 329\n1 322\n1 363\nSEPARATED\n27\n60\n9\n8\n11\n13\n28\n33\n163\n383\n112\n175\n34\n62\nWIDOWED.\n80\n507\n22\n255\n34\n343\n35\n352\n228\n966\n240\n616\n90\n256\nDIVORCED\n76\n182\n23\n97\n32\n78\n53\n119\n232\n557\n118\n235\n63\n84\n571\n9\n135\n69\n59\n53\n3 814\n4 956\n889\n1 289\n5\n4\nNONWHITE. 14 YEARS AND OVER.\n473\n1\nSINGLE\n152\n82\n7\n112\n45\n23\n11\n1 012\n857\n294\n433\n3\n3\nMARRIED\n279\n314\n2\n1\n22\n19\n30\n26\n2 372\n2 690\n469\n526\n2\n1\nSEPARATED\n14\n33\n1\n...\n...\n9\n6\n151\n368\n58\n80\nWIDOWED.\n17\n120\n1\n4\n2\n10\n210\n874\n77\n231\nDIVORCED\n25\n55\n1\n4\n6\n220\n535\n49\n99\nReproduced at the National Archives\n55\n20\nCensus Tracts\nTable P-2.-AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n[Median not shown where base is less than 50]\nAUSTIN--CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0011\n0012\n0013\n0014\n0015\n0016\n0017\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL\n1 635\n1 561\n2 567\n1 979\n7 000\n7 485\n2 066\n2 329\n8 180\n8 314\n8 851\n9 811\n507\n517\nUNDER 1 YEAR\n36\n29\n38\n56\n215\n177\n43\n41\n230\n211\n172\n168\n12\n11\n1 YEAR\n33\n24\n33\n31\n197\n198\n34\n39\n231\n217\n185\n160\n8\n9\n2 YEARS\n27\n20\n48\n44\n205\n208\n39\n35\n249\n230\n141\n172\n13\n12\n3 YEARS\n26\n25\n34\n34\n153\n171\n27\n25\n242\n198\n122\n161\n16\n15\n4 YEARS.\n23\n22\n41\n34\n185\n169\n36\n25\n229\n216\n141\n143\n16\n15\n5 YEARS\n25\n22\n32\n24\n160\n187\n16\n21\n249\n184\n152\n131\n17\n18\n6 YEARS\n19\n18\n37\n26\n182\n152\n31\n32\n220\n245\n160\n147\n13\n15\n7 YEARS\n13\n28\n28\n26\n170\n175\n27\n29\n230\n229\n148\n162\n23\n14\n8 YEARS\n19\n15\n31\n26\n167\n149\n31\n35\n203\n196\n158\n141\n17\n17\n9 YEARS.\n18\n23\n27\n28\n157\n155\n37\n25\n210\n206\n169\n134\n10\n8\n10 YEARS\n27\n21\n30\n37\n156\n135\n30\n29\n195\n187\n181\n158\n10\n15\n11 YEARS\n18\n19\n31\n23\n157\n119\n33\n29\n150\n174\n180\n166\n14\n6\n12 YEARS\n14\n25\n34\n37\n141\n154\n34\n39\n179\n174\n189\n179\n17\n7\n13 YEARS\n17\n20\n26\n19\n169\n145\n40\n45\n192\n167\n217\n186\n10\n19\n14 YEARS\n18\n9\n38\n26\n110\n97\n39\n32\n137\n92\n195\n173\n5\n9\n15 YEARS\n18\n20\n16\n23\n134\n107\n33\n42\n124\n137\n170\n154\n5\n7\n16 YEARS\n19\n17\n33\n28\n119\n146\n37\n39\n120\n126\n164\n147\n6\n5\n17 YEARS\n19\n17\n28\n26\n103\n112\n39\n37\n86\n109\n138\n164\n11\n10\n18 YEARS\n27\n50\n37\n45\n104\n113\n32\n33\n71\n93\n134\n149\n9\n3\n19 YEARS\n26\n56\n32\n40\n73\n115\n30\n46\n74\n102\n119\n169\n2\n3\n20 YEARS\n32\n37\n33\n41\n89\n114\n28\n38\n69\n106\n177\n187\n1\n2\n21 YEARS AND OVER.\n1 161\n1 044\n1 880\n1 305\n3 854\n4 387\n1 370\n1 613\n4 490\n4 715\n5 439\n6 460\n272\n297\nTOTAL\n1 635\n1 561\n2 567\n1 979\n7 000\n7 485\n2 066\n2 329\n8 180\n8 314\n8 851\n9 811\n507\n517\nUNDER 5 YEARS\n145\n120\n194\n199\n955\n923\n179\n165\n1 181\n1 072\n761\n804\n65\n62\n5 TO 9 YEARS\n94\n106\n155\n130\n836\n818\n142\n142\n1 112\n1 060\n787\n715\nBO\n72\n10 TO 14 YEARS\n94\n94\n159\n142\n733\n650\n176\n174\n853\n794\n962\n862\n56\n56\n15 TO 19 YEARS\n109\n160\n146\n162\n533\n593\n171\n197\n475\n567\n725\n783\n33\n28\n20 TO 24 YEARS\n147\n155\n194\n171\n537\n595\n183\n200\n430\n591\n970\n1 000\n8\n19\n25 TO 29 YEARS\n91\n66\n132\n109\n482\n516\n154\n98\n634\n708\n903\n685\n27\n35\n30 TO 34 YEARS\n85\n76\n98\n79\n467\n471\n94\n105\n786\n832\n432\n477\n42\n57\n35 TO 39 YEARS\n101\n84\n99\n102\n420\n446\n114\n131\n803\n781\n466\n570\n66\n62\n40 TO 44 YEARS\n83\n77\n89\n105\n382\n428\n138\n187\n618\n565\n448\n631\n42\n49\n45 TO 49 YEARS\n120\n79\n130\n106\n385\n423\n157\n193\n431\n417\n573\n742\n34\n27\n50 TO 54 YEARS\n69\n103\n161\n105\n337\n360\n150\n183\n324\n285\n566\n671\n25\n18\n55 TO 59 YEARS\n91\n81\n197\n114\n284\n324\n119\n154\n186\n178\n394\n550\n12\n11\n60 TO 64 YEARS\n81\n92\n203\n133\n199\n248\n103\n109\n122\n145\n314\n404\n8\n6\n65 TO 69 YEARS\n113\n85\n210\n110\n161\n223\n76\n109\n84\n124\n239\n348\n4\n6\n70 TO 74 YEARS\n70\n71\n176\n95\n147\n200\n54\n79\n76\n95\n159\n265\n4\n5\n75 TO 79 YEARS\n59\n58\n132\n65\n79\n123\n33\n58\n29\n53\n86\n158\n1\n80 TO 84 YEARS\n32\n31\n63\n36\n43\n99\n17\n30\n22\n28\n44\n82\n1\n3\n85 YEARS AND OVER.\n51\n23\n29\n16\n20\n45\n6\n15\n14\n19\n22\n64\n...\nMEDIAN AGE\n37.6\n35.2\n45.7\n34.8\n24.1\n26.6\n31.5\n38.2\n25.3\n25.5\n26.2\n30.6\n27.1\n28.1\nWHITE\n1 556\n1 535\n2 362\n1 759\n6 792\n7 242\n2 062\n2 322\n8 156\n8 292\n8 765\n9 736\n507\n517\nUNDER 5 YEARS\n142\n118\n168\n169\n926\n899\n179\n165\n1 177\n1 067\n754\n797\n65\n62\n5 TO 9 YEARS\n93\n104\n131\n108\n812\n787\n142\n142\n1 110\n1 057\n769\n698\n80\n72\n10 TO 14 YEARS\n94\n92\n131\n121\n715\n631\n176\n174\n852\n793\n936\n847\n56\n56\n15 TO 19 YEARS\n108\n160\n132\n152\n521\n580\n171\n195\n471\n566\n708\n773\n33\n28\n20 TO 24 YEARS\n147\n153\n188\n157\n525\n583\n182\n200\n428\n589\n965\n994\n8\n19\n25 TO 29 YEARS\n90\n64\n121\n95\n474\n505\n154\n98\n633\n706\n900\n680\n27\n35\n30 TO 34 YEARS\n81\n74\n83\n65\n456\n453\n94\n105\n786\n831\n429\n475\n42\n57\n35 TO 39 YEARS\n91\n83\n90\n94\n409\n430\n114\n131\n801\n778\n465\n569\n66\n62\n40 TO 44 YEARS\n82\n76\n83\n94\n372\n417\n137\n185\n617\n565\n445\n630\n42\n49\n45 TO 49 YEARS\n106\n78\n121\n98\n375\n405\n157\n193\n427\n414\n572\n742\n34\n27\n50 TO 54 YEARS\n66\n101\n147\n89\n324\n354\n150\n182\n324\n285\n566\n666\n25\n18\n55 TO 59 YEARS\n89\n78\n187\n98\n275\n310\n119\n152\n186\n178\n394\n548\n12\n11\n60 TO 64 YEARS\n77\n91\n189\n121\n185\n236\n101\n109\n122\n145\n313\n400\n8\n6\n65 TO 69 YEARS\n99\n81\n201\n101\n150\n206\n76\n109\n84\n124\n239\n348\n4\n6\n70 TO 74 YEARS\n65\n71\n170\n88\n135\n194\n54\n79\n74\n95\n159\n265\n4\n5\n75 YEARS AND OVER.\n126\n111\n220\n109\n138\n252\n56\n103\n64\n99\n151\n304\n1\n4\nMEDIAN AGE\n36.3\n35.2\n47.2\n35.7\n24.0\n26.4\n31.4\n38.1\n25.3\n25.5\n26.4\n30.8\n27.1\n28.1\nNONWHITE\n79\n26\n205\n220\n208\n243\n4\n7\n24\n22\n86\n75\nUNDER 5 YEARS\n3\n2\n26\n30\n29\n24\n4\n5\n7\n7\n5 TO 9 YEARS\n1\n2\n24\n22\n24\n31\n2\n3\n18\n17\n10 TO 14 YEARS\n2\n28\n21\n18\n19\n1\n1\n26\n15\n15 TO 19 YEARS\n1\n...\n14\n10\n12\n13\n2\n4\n1\n17\n10\n20 TO 24 YEARS\n...\n2\n6\n14\n12\n12\n1\n2\n2\n5\n6\n25 TO 29 YEARS\n1\n2\n11\n14\n8\n11\n1\n2\n3\n5\n30 TO 34 YEARS\n4\n2\n15\n14\n11\n18\n1\n3\n2\n35 TO 39 YEARS\n10\n1\n9\n8\n11\n16\n2\n3\n1\n1\n40 TO 44 YEARS\n1\n1\n6\n11\n10\n11\n1\n2\n1\n3\n1\n45 TO 49 YEARS\n14\n1\n9\n8\n10\n18\n4\n3\n1\n...\n50 TO 54 YEARS\n3\n2\n14\n16\n13\n6\n1\n5\n55 TO 59 YEARS\n2\n3\n10\n16\n9\n14\n2\n2\n60 TO 64 YEARS\n4\n1\n14\n12\n14\n12\n2\n1\n4\n65 TO 69 YEARS\n14\n4\n9\n9\n11\n17\n70 TO 74 YEARS\n5\n...\n6\n7\n12\n6\n2\n75 YEARS AND OVER.\n16\n1\n4\n8\n4\n15\n1\n1\n1\nMEDIAN AGE\n58.8\n...\n27.0\n29.6\n30.5\n33.2\n...\n13.5\n14.5\nMARITAL STATUS\nTOTAL. 14 YEARS AND OVER\n1 320\n1 250\n2 097\n1 534\n4 586\n5 191\n1 608\n1 880\n5 171\n5 480\n6 536\n7 603\n311\n336\nSINGLE\n534\n406\n817\n280\n994\n824\n342\n288\n813\n695\n2 020\n1 970\n48\n48\nMARRIED\n541\n501\n1 026\n878\n3 346\n3 438\n1 190\n1 214\n4 228\n4 275\n4 337\n4 395\n257\n261\nSEPARATED\n61\n27\n50\n28\n37\n69\n9\n12\n24\n34\n18\n20\n1\n1\nWIDOWED.\n104\n232\n97\n286\n131\n661\n42\n277\n61\n337\n109\n937\n4\n20\nDIVORCED\n141\n111\n157\n90\n115\n268\n34\n101\n69\n173\n70\n301\n2\n7\nNONWHITE, 14 YEARS AND OVER.\n75\n20\n130\n151\n139\n169\n4\n7\n18\n13\n42\n39\nSINGLE\n41\n1\n28\n24\n24\n20\n1\n2\n5\n...\n35\n20\nMARRIED\n26\n12\n88\n91\n100\n107\n3\n4\n11\n12\n5\n10\nSEPARATED\n12\n...\n1\n6\n4\n8\n...\n...\n...\n1\n...\nWIDOWED.\n6\n1\n7\n22\n10\n29\n1\n2\n1\n1\n4\nDIVORCERReptotluced at the National Archives\n6\n7\n14\n5\n13\n...\n...\n1\n5\n56\nCensus Tracts\n21\nTable P-2.-AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n[Median not shown where base is less than 501\nAUSTIN-CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL\n2 468\n2 525\n634\n678\n2 665\n2 661\n6 777\n6 908\n478\n495\n1 659\n1 710\n568\n390\nUNDER 1 YEAR\n82\n81\n13\n14\n77\n76\n252\n234\n12\n15\n62\n73\n13\n9\n1 YEAR\n80\n89\n15\n19\n86\n87\n250\n241\n13\n12\n76\n63\n11\n10\n2 YEARS.\n95\n66\n10\n21\n101\n86\n248\n228\n10\n9\n76\n77\n13\n9\n3 YEARS.\n73\n73\n18\n15\n111\n85\n260\n235\n11\n12\n58\n84\n16\n11\n4 YEARS.\n74\n83\n15\n17\n97\n83\n230\n220\n11\n13\n52\n58\n8\n7\n5 YEARS.\n79\n68\n20\n14\n71\n65\n229\n224\n10\n9\n59\n48\n6\n5\n6 YEARS.\n67\n69\n16\n15\n55\n80\n206\n209\n5\n9\n47\n60\n6\n10\n7 YEARS.\n73\n73\n18\n17\n81\n61\n166\n217\n7\n10\n50\n55\n5\n7\n8 YEARS.\n55\n59\n17\n19\n66\n51\n170\n163\n10\n8\n53\n42\n7\n7\n9 YEARS.\n61\n59\n8\n12\n62\n69\n169\n175\n11\n12\n35\n48\n8\n6\n10 YEARS\n65\n68\n14\n9\n53\n53\n173\n143\n11\n7\n41\n37\n5\n8\n11 YEARS\n62\n50\n7\n13\n70\n48\n165\n130\n6\n11\n41\n45\n7\n6\n12 YEARS\n59\n48\n9\n10\n53\n62\n124\n144\n12\n10\n46\n36\n6\n7\n13 YEARS\n48\n43\n14\n14\n51\n50\n154\n144\n12\n9\n47\n35\n4\n6\n14 YEARS\n31\n44\n5\n9\n26\n36\n109\n85\n7\n5\n26\n20\n8\n7\n15 YEARS\n39\n31\n14\n14\n35\n34\n92\n83\n8\n11\n32\n29\n8\ne\n16 YEARS\n32\n44\n8\n7\n34\n33\n99\n83\n12\n10\n28\n31\n14\n4\n17 YEARS\n38\n20\n11\n14\n26\n26\n83\n74\n6\n8\n28\n29\n6\n9\n18 YEARS\n25\n38\n7\n9\n28\n20\n40\n84\n5\n9\n23\n27\n63\n5\n19 YEARS\n26\n33\n3\n4\n14\n37\n43\n80\n6\n8\n32\n31\n61\n11\n20 YEARS\n20\n30\n5\n4\n18\n43\n40\n73\n8\n14\n22\n33\n24\n7\n21 YEARS AND OVER.\n1 284\n1 356\n387\n408\n1 450\n1 476\n3 475\n3 639\n285\n284\n725\n749\n267\n231\nTOTAL\n2 468\n2 525\n634\n678\n2 665\n2 661\n6 777\n6 908\n478\n495\n1 659\n1 710\n568\n390\nUNDER 5 YEARS\n404\n392\n71\n86\n472\n417\n1 240\n1 158\n57\n61\n324\n355\n61\n46\n5 TO 9 YEARS\n335\n328\n79\n77\n335\n326\n940\n988\n43\n48\n244\n253\n32\n35\n10 TO 14 YEARS\n265\n253\n49\n55\n253\n249\n725\n646\n48\n42\n201\n173\n30\n34\n15 TO 19 YEARS\n160\n166\n43\n48\n137\n150\n357\n404\n37\n46\n143\n147\n154\n37\n20 TO 24 YEARS\n141\n216\n28\n23\n170\n254\n340\n494\n42\n44\n125\n150\n84\n40\n25 TO 29 YEARS\n255\n241\n29\n42\n281\n301\n638\n716\n28\n22\n111\n112\n38\n22\n30 TO 34 YEARS\n208\n194\n49\n60\n242\n224\n612\n642\n31\n24\n94\n112\n22\n28\n35 TO 39 YEARS\n153\n153\n74\n75\n232\n208\n618\n569\n24\n32\n78\n85\n31\n30\n40 TO 44 YEARS\n154\n139\n56\n62\n136\n115\n420\n369\n29\n35\n86\n69\n27\n24\n45 TO 49 YEARS\n108\n102\n51\n55\n108\n104\n293\n282\n29\n23\n65\n66\n25\n24\n50 TO 54 YEARS\n83\n75\n46\n36\n74\n88\n200\n185\n28\n32\n38\n49\n20\n20\n55 TO 59 YEARS\n65\n70\n27\n22\n77\n55\n135\n143\n21\n19\n40\n41\n20\n16\n60 TO 64 YEARS\n35\n52\n17\n15\n47\n48\n85\n78\n17\n24\n40\n37\n9\n9\n65 TO 69 YEARS\n38\n56\n7\n9\n27\n36\n77\n94\n19\n19\n28\n17\n8\n10\n70 TO 74 YEARS\n24\n36\n3\n5\n32\n38\n45\n58\n18\n4\n17\n17\n2\n9\n75 TO 79 YEARS\n20\n24\n3\n4\n17\n25\n24\n44\n4\n11\n19\n18\n1\n4\n80 TO 84 YEARS\n12\n16\n2\n3\n8\n13\n14\n25\n2\n6\n5\n5\n4\n1\n85 YEARS AND OVER.\n8\n12\n...\n1\n17\n10\n14\n13\n1\n3\n1\n4\n...\n1\nMEDIAN AGE\n22.5\n22.9\n31.8\n30.7\n24.0\n23.7\n21.9\n22.6\n27.1\n26.5\n17.1\n17.5\n20.4\n25.7\nWHITE\n1 867\n1 907\n634\n676\n2 655\n2 652\n5 501\n5 577\n478\n495\n1 443\n1 488\n563\n386\nUNDER 5 YEARS\n307\n302\n71\n86\n469\n416\n1 024\n969\n57\n61\n297\n314\n60\n44\n5 TO 9 YEARS\n243\n236\n79\n77\n334\n326\n759\n792\n43\n48\n216\n234\n32\n35\n10 TO 14 YEARS\n180\n170\n49\n55\n253\n249\n568\n506\n48\n42\n169\n144\n30\n34\n15 TO 19 YEARS\n99\n111\n43\n48\n137\n150\n262\n302\n37\n46\n115\n128\n154\n37\n20 TO 24 YEARS\n103\n182\n28\n23\n170\n254\n263\n400\n42\n44\n110\n127\n81\n40\n25 TO 29 YEARS\n228\n214\n29\n42\n280\n299\n530\n588\n28\n22\n98\n105\n38\n21\n30 TO 34 YEARS\n187\n162\n49\n60\n240\n222\n513\n541\n31\n24\n85\n103\n22\n28\n35 TO 39 YEARS\n128\n123\n74\n75\n232\n208\n535\n464\n24\n32\n65\n73\n30\n30\n40 TO 44 YEARS\n126\n98\n56\n62\n135\n114\n352\n297\n29\n35\n81\n56\n27\n24\n45 TO 49 YEARS\n78\n77\n51\n55\n107\n102\n228\n208\n29\n23\n48\n58\n25\n24\n50 TO 54 YEARS\n63\n51\n46\n36\n74\n87\n160\n147\n28\n32\n31\n41\n20\n20\n55 TO 59 YEARS\n43\n51\n27\n22\n77\n55\n109\n113\n21\n19\n35\n31\n20\n16\n60 TO 64 YEARS\n26\n35\n17\n13\n47\n48\n65\n64\n17\n24\n33\n24\n9\n9\n65 TO 69 YEARS\n22\n34\n7\n9\n26\n36\n55\n73\n19\n19\n23\n15\n8\n10\n70 TO 74 YEARS\n14\n23\n3\n5\n32\n38\n39\n48\n18\n4\n14\n13\n2\n9\n75 YEARS AND OVER.\n20\n38\n5\n8\n42\n48\n39\n65\n7\n20\n23\n22\n5\n5\nMEDIAN AGE\n25.0\n23.7\n31.8\n30.6\n24.0\n23.6\n22.6\n22.7\n27.1\n26.5\n16.7\n17.0\n20.3\n25.7\nNONWHITE\n601\n618\n2\n10\n9\n1 276\n1 331\n216\n222\n5\n4\nUNDER 5 YEARS\n97\n90\n3\n1\n216\n189\n27\n41\n1\n2\n5 TO 9 YEARS\n92\n92\n1\n181\n196\n28\n19\n10 TO 14 YEARS\n85\n83\n157\n140\n32\n29\n15 TO 19 YEARS\n61\n55\n95\n102\n28\n19\n20 TO 24 YEARS\n38\n34\n77\n94\n15\n23\n3\n25 TO 29 YEARS\n27\n27\n1\n2\n108\n128\n13\n7\n1\n30 TO 34 YEARS\n21\n32\n2\n2\n99\n101\n9\n9\n35 TO 39 YEARS\n25\n30\n83\n105\n13\n12\n1\n40 TO 44 YEARS\n28\n41\n1\n1\n68\n72\n5\n13\n45 TO 49 YEARS\n30\n25\n1\n2\n65\n74\n17\n8\n50 TO 54 YEARS\n20\n24\n1\n40\n38\n7\n8\n55 TO 59 YEARS\n22\n19\n26\n30\n5\n10\n60 TO 64 YEARS\n9\n17\n2\n20\n14\n7\n13\n65 TO 69 YEARS\n16\n22\n22\n21\n5\n2\n70 TO 74 YEARS\n10\n13\n6\n10\n3\n4\n75 YEARS AND OVER.\n20\n14\n13\n17\n2\n5\nMEDIAN AGE\n17.2\n19.0\n19.4\n22.0\n18.8\n20.7\nMARITAL STATUS\nTOTAL, 14 YEARS AND OVER\n1 495\n1 596\n440\n469\n1 631\n1 705\n3 981\n4 201\n337\n349\n916\n949\n453\n282\nSINGLE\n262\n218\n67\n68\n232\n191\n656\n540\n65\n47\n228\n173\n266\n52\nMARRIED\n1 171\n1 192\n359\n367\n1 348\n1 361\n3 206\n3 260\n256\n258\n659\n670\n177\n184\nSEPARATED\n18\n25\n...\n7\n6\n35\n43\n2\n2\n16\n16\n2\n1\nWIDOWED.\n33\n146\n4\n30\n33\n121\n63\n279\n14\n40\n18\n75\n9\n27\nDIVORCED\n29\n40\n10\n4\n18\n32\n56\n122\n2\n4\n11\n31\n1\n19\nNONWHITE, 14 YEARS AND OVER.\n336\n368\n2\n6\n8\n748\n827\n133\n137\n4\n2\nSINGLE\n97\n76\n1\n1\n168\n142\n43\n28\n3\nMARRIED\n219\n223\n4\n7\n532\n560\n81\n79\n1\n1\nSEPARATED\n11\n15\n...\n20\n30\n13\n8\nWIDOWED.\n11\n50\n2\n23\n77\n4\n21\n1\nDIVORCED\n9\n19\n1\n25\n48\n5\n9\nReproduced at the National Archives\n57\n22\nCensus Tracts\nTable P-2.-AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n[Median not shown where base is less than 50}\nBALANCE OF TRAVIS COUNTY\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL.\n10\n5\n2 101\n1 939\n2 768\n2 634\nUNDER 1 YEAR\n30\n31\n75\n66\n1 YEAR\n42\n23\n68\n69\n2 YEARS\n34\n37\n58\n66\n3 YEARS\n44\n35\n60\n62\n4 YEARS\n34\n48\n77\n65\n5 YEARS\n40\n34\n57\n65\n6 YEARS\n38\n57\n66\n57\n7 YEARS.\n49\n41\n81\n61\n8 YEARS.\n48\n47\n54\n50\n9 YEARS.\n45\n35\n47\n43\n10 YEARS\n47\n44\n60\n52\n11 YEARS\n46\n34\n68\n54\n12 YEARS\n51\n38\n43\n59\n13 YEARS\n33\n39\n55\n53\n14 YEARS\n35\n32\n59\n50\n15 YEARS\n30\n33\n45\n41\n16 YEARS\n43\n32\n63\n43\n17 YEARS\n37\n30\n55\n33\n18 YEARS\n37\n20\n32\n25\n19 YEARS\n17\n22\n24\n22\n20 YEARS\n1\n21\n21\n21\n24\n21 YEARS AND OVER.\n8\n5\n1 300\n1 206\n1 600\n1 574\nTOTAL\n10\n5\n2 101\n1 939\n2 768\n2 634\nUNDER 5 YEARS\n184\n174\n338\n328\n5 TO 9 YEARS\n220\n214\n305\n276\n10 TO 14 YEARS\n212\n187\n285\n268\n15 TO 19 YEARS\n164\n137\n219\n164\n20 TO 24 YEARS\n3\n97\n84\n117\n152\n25 TO 29 YEARS\n87\n89\n179\n180\n30 TO 34 YEARS\n137\n129\n167\n195\n35 TO 39 YEARS\n133\n132\n233\n184\n40 TO 44 YEARS\n140\n129\n168\n140\n45 TO 49 YEARS\n139\n128\n150\n151\n50 TO 54 YEARS\n136\n149\n150\n131\n55 TO 59 YEARS\n123\n110\n115\n121\n60 TO 64 YEARS\n117\n109\n91\n100\n65 TO 69 YEARS\n92\n78\n101\n97\n70 TO 74 YEARS\n63\n44\n77\n59\n75 TO 79 YEARS\n38\n25\n41\n40\n80 TO 84 YEARS\n11\n16\n18\n35\n85 YEARS AND OVER\n8\n5\n14\n13\nMEDIAN AGE\n33.2\n33.3\n28.4\n28.6\nWHITE.\n10\n5\n2 035\n1 878\n2 523\n2 425\nUNDER 5 YEARS\n1\n172\n165\n306\n299\n5 TO 9 YEARS\n215\n210\n275\n253\n10 TO 14 YEARS\n207\n182\n259\n243\n15 TO 19 YEARS\n159\n130\n181\n141\n20 TO 24 YEARS\n7\n3\n94\n80\n105\n144\n25 TO 29 YEARS\n84\n88\n171\n170\n30 TO 34 YEARS\n137\n125\n157\n183\n35 TO 39 YEARS\n129\n127\n218\n170\n40 TO 44 YEARS\n135\n127\n151\n132\n45 TO 49 YEARS\n134\n127\n140\n140\n50 TO 54 YEARS\n133\n145\n143\n122\n55 TO 59 YEARS\n118\n108\n104\n109\n60 TO 64 YEARS\n115\n106\n81\n92\n65 TO 69 YEARS\n91\n74\n93\n91\n70 TO 74 YEARS\n59\n40\n74\n57\n75 YEARS AND OVER.\n53\n44\n65\n79\nMEDIAN AGE\n33.2\n33.4\n29.0\n28.9\nNONWHITE\n66\n61\n245\n209\nUNDER 5 YEARS\n12\n9\n32\n29\n5 TO 9 YEARS\n5\n4\n30\n23\n10 TO 14 YEARS\n5\n5\n26\n25\n15 TO 19 YEARS\n5\n7\n38\n23\n20 TO 24 YEARS\n3\n4\n12\n8\n25 TO 29 YEARS\n3\n1\n8\n10\n30 TO 34 YEARS\n...\n4\n10\n12\n35 TO 39 YEARS\n4\n5\n15\n14\n40 TO 44 YEARS\n5\n2\n17\n8\n45 TO 49 YEARS\n5\n1\n10\n11\n50 TO 54 YEARS\n3\n4\n7\n9\n55 TO 59 YEARS\n5\n2\n11\n12\n60 TO 64 YEARS\n2\n3\n10\n8\n65 TO 69 YEARS\n1\n4\n8\n6\n70 TO 74 YEARS\n4\n4\n3\n2\n75 YEARS AND OVER\n4\n2\n8\n9\nMEDIAN AGE\n35.0\n30.6\n19.5\n22.8\nMARITAL STATUS\nTOTAL: 14 YEARS AND OVER\n9\n5\n1 520\n1 396\n1 899\n1 812\nSINGLE\n5\n350\n186\n448\n279\nMARRIED.\n4\n4\n1 084\n1 061\n1 372\n1 362\nSEPARATED\n24\n9\n24\n9\nWIDOWED.\n1\n43\n123\n52\n147\nDIVORCED\n43\n26\n27\n24\nNONWHITE, 14 YEARS AND OVER\n45\n46\n164\n134\nSINGLE\n7\n11\n57\n28\nMARRIED.\n32\n29\n96\n91\nSEPARATED\n3\n...\n11\n3\nWIDOWED.\n4\n6\n7\n10\nDIVORCED\nReproduced the National Archives\n2\n4\n5\n58\nCensus Tracts\n23\nTable P-2.-AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n[Median not shown where base is less than 50]\nBALANCE OF TRAVIS COUNTY-CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0019\n0020\n0021\n0022\n0023\n0024\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL\n1 096\n1 040\n7\n7\n186\n164\n2 522\n1 259\n3 003\n2 074\n2 545\n2 228\nUNDER 1 YEAR\n18\n18\n9\n5\n29\n21\n98\n86\n52\n47\n1 YEAR\n19\n18\n1\n5\n...\n24\n28\n100\n86\n53\n73\n2 YEARS\n27\n17\n4\n3\n35\n18\n96\n83\n64\n55\n3 YEARS\n24\n19\n1\n6\n4\n31\n29\n80\n67\n45\n59\n4 YEARS\n20\n9\n1\n5\n8\n29\n24\n77\n68\n69\n51\n5 YEARS\n25\n18\n6\n4\n32\n28\n60\n66\n63\n56\n6 YEARS\n20\n23\n5\n3\n28\n33\n72\n58\n64\n56\n7 YEARS\n19\n19\n6\n1\n36\n27\n70\n51\n60\n54\n8 YEARS\n23\n17\n3\n5\n18\n28\n49\n45\n51\n59\n9 YEARS\n29\n20\n10\n1\n34\n33\n54\n51\n58\n53\n10 YEARS\n19\n14\n3\n3\n40\n23\n55\n36\n60\n58\n11 YEARS\n11\n24\n4\n3\n41\n23\n36\n42\n53\n39\n12 YEARS\n18\n26\n1\n4\n39\n22\n53\n37\n52\n50\n13 YEARS\n14\n20\n7\n7\n31\n31\n58\n30\n69\n49\n14 YEARS\n23\n13\n3\n3\n25\n25\n30\n26\n44\n49\n15 YEARS\n23\n18\n7\n2\n40\n30\n35\n33\n59\n38\n16 YEARS\n18\n14\n4\n3\n32\n14\n26\n18\n41\n32\n17 YEARS\n19\n13\n2\n4\n27\n22\n37\n21\n62\n34\n18 YEARS\n6\n14\n1\n37\n24\n99\n18\n39\n32\n19 YEARS\n8\n12\n2\n3\n43\n24\n147\n20\n47\n16\n20 YEARS\n7\n7\n4\n...\n36\n12\n140\n43\n70\n21\n21 YEARS AND OVER.\n706\n687\n6\n5\n89\n98\n1 835\n740\n1 531\n1 089\n1 370\n1 247\nTOTAL\n1 096\n1 040\n7\n7\n186\n164\n2 522\n1 259\n3 003\n2 074\n2 545\n2 228\nUNDER 5 YEARS\n108\n81\n1\n2\n29\n20\n148\n120\n451\n390\n283\n285\n5 TO 9 YEARS\n116\n97\n30\n14\n148\n149\n305\n271\n296\n278\n10 TO 14 YEARS\n85\n97\n18\n20\n176\n124\n232\n171\n278\n245\n15 TO 19 YEARS\n74\n71\n16\n12\n179\n114\n344\n110\n248\n152\n20 TO 24 YEARS\n47\n41\n1\n1\n8\n5\n217\n42\n529\n234\n188\n120\n25 TO 29 YEARS\n47\n48\n2\n1\n6\n13\n230\n62\n336\n225\n151\n116\n30 TO 34 YEARS\n72\n75\n1\n7\n13\n214\n62\n229\n181\n129\n139\n35 TO 39 YEARS\n87\n94\n1\n11\n9\n229\n77\n191\n174\n145\n150\n40 TO 44 YEARS\n92\n90\n17\n11\n208\n63\n154\n84\n139\n137\n45 TO 49 YEARS\n83\n90\n13\n14\n174\n69\n71\n79\n161\n149\n50 TO 54 YEARS\n98\n91\n1\n6\n4\n174\n78\n49\n36\n144\n154\n55 TO 59 YEARS\n71\n49\n1\n1\n5\n9\n147\n78\n29\n27\n115\n77\n60 TO 64 YEARS\n42\n40\n4\n5\n83\n60\n27\n34\n63\n71\n65 TO 69 YEARS\n33\n34\n7\n6\n75\n73\n20\n19\n93\n65\n70 TO 74 YEARS\n24\n16\n1\n4\n3\n55\n35\n21\n17\n48\n41\n75 TO 79 YEARS\n11\n11\n3\n5\n37\n26\n10\n15\n40\n19\n80 TO 84 YEARS\n4\n9\n1\n1\n18\n18\n3\n3\n12\n20\n85 YEARS AND OVER\n2\n6\n1\n...\n10\n9\n2\n4\n12\n10\nMEDIAN AGE\n34.9\n35.5\n20.0\n29.2\n33.8\n31.5\n21.6\n22.0\n24.5\n26.5\nWHITE\n1 091\n1 036\n7\n7\n144\n135\n2 048\n845\n2 675\n1 844\n2 355\n2 040\nUNDER 5 YEARS\n108\n81\n1\n2\n24\n19\n108\n78\n408\n348\n253\n255\n5 TO 9 YEARS\n116\n97\n22\n12\n107\n109\n266\n244\n274\n245\n10 TO 14 YEARS\n85\n97\n13\n13\n133\n80\n212\n149\n255\n222\n15 TO 19 YEARS\n74\n71\n13\n12\n140\n73\n301\n90\n227\n137\n20 TO 24 YEARS\n47\n41\n1\n1\n8\n4\n200\n26\n465\n215\n181\n111\n25 TO 29 YEARS\n47\n47\n2\n1\n5\n10\n192\n46\n304\n203\n144\n108\n30 TO 34 YEARS\n71\n74\n1\n6\n12\n186\n45\n199\n161\n123\n130\n35 TO 39 YEARS\n87\n94\n10\n6\n207\n60\n179\n163\n139\n147\n40 TO 44 YEARS\n92\n90\n14\n8\n183\n47\n145\n80\n132\n129\n45 TO 49 YEARS\n81\n90\n9\n10\n151\n56\n66\n69\n151\n138\n50 TO 54 YEARS\n98\n90\n4\n4\n138\n57\n40\n28\n138\n144\n55 TO 59 YEARS\n70\n48\n1\n1\n2\n7\n110\n50\n24\n24\n101\n72\n60 TO 64 YEARS\n42\n40\n4\n4\n62\n36\n23\n26\n58\n62\n65 TO 69 YEARS\n32\n34\n3\n5\n52\n33\n16\n12\n80\n61\n70 TO 74 YEARS\n24\n16\n4\n3\n36\n19\n16\n14\n42\n37\n75 YEARS AND OVER\n17\n26\n3\n6\n43\n30\n11\n18\n57\n42\nMEDIAN AGE\n34.8\n35.5\n20.0\n28.8\n33.9\n31.2\n21.6\n22.1\n24.7\n27.3\nNONWHITE\n5\n4\n42\n29\n474\n414\n328\n230\n190\n188\nUNDER 5 YEARS\n5\n1\n40\n42\n43\n42\n30\n30\n5 TO 9 YEARS\n8\n2\n41\n40\n39\n27\n22\n33\n10 TO 14 YEARS\n5\n7\n43\n44\n20\n22\n23\n23\n15 TO 19 YEARS\n3\n39\n41\n43\n20\n21\n15\n20 TO 24 YEARS\n1\n17\n16\n64\n19\n7\n9\n25 TO 29 YEARS\n1\n3\n38\n16\n32\n22\n7\n8\n30 TO 34 YEARS\n1\n1\n28\n17\n30\n20\n6\n9\n35 TO 39 YEARS\n1\n3\n22\n17\n12\n11\n6\n3\n40 TO 44 YEARS\n3\n3\n25\n16\n9\n4\n7\n8\n45 TO 49 YEARS\n2\n4\n4\n23\n13\n5\n10\n10\n11\n50 TO 54 YEARS\n1\n2\n36\n21\n9\n8\n6\n10\n55 TO 59 YEARS\n1\n3\n2\n37\n28\n5\n3\n14\n5\n60 TO 64 YEARS\n1\n21\n24\n4\n8\n5\n9\n65 TO 69 YEARS\n4\n1\n23\n40\n4\n7\n13\n4\n70 TO 74 YEARS\n19\n16\n5\n3\n6\n4\n75 YEARS AND OVER.\n2\n22\n23\n4\n4\n7\n7\nMEDIAN AGE\n33.4\n32.4\n21.5\n21.1\n19.8\n17.7\nMARITAL STATUS\nTOTAL, 14 YEARS AND OVER\n810\n778\n6\n5\n112\n113\n2 075\n891\n2 045\n1 268\n1 732\n1 469\nSINGLE\n181\n119\n2\n1\n30\n21\n1 449\n189\n814\n135\n568\n249\nMARRIED\n580\n583\n4\n4\n78\n79\n566\n562\n1 163\n1 068\n1 094\n1 088\nSEPARATED\n1\n3\n1\n...\n7\n9\n31\n15\n17\n8\nWIDOWED.\n28\n55\n4\n11\n33\n116\n22\n50\n44\n108\nDIVORCED\n21\n21\n2\n27\n24\n46\n15\n26\n24\nNONWHITE, 14 YEARS AND OVER.\n5\n4\n24\n20\n358\n294\n231\n146\n116\n108\nSINGLE\n1\n1\n6\n1\n195\n77\n104\n30\n30\n29\nMARRIED\n3\n3\n16\n14\n137\n139\n113\n99\n74\n72\nSEPARATED\n1\n...\n4\n5\n5\n7\n5\n2\nWIDOWED.\n1\n2\n3\n15\n56\n8\n12\n8\n5\nDIVORCED\n2\n11\n22\n6\n5\n4\n2\n59\nReproduced at the National Archives\n24\nCensus Tracts\nTable P-2.--AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n(Median not shown where base is less than 50]\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL\n3 325\n3 549\n5 511\n6 256\n8 180\n8 314\n2 608\n2 456\n5 236\n5 159\nUNDER 1 YEAR\n69\n56\n125\n134\n230\n211\n42\n42\n157\n147\n1 YEAR\n65\n57\n119\n121\n231\n217\n50\n32\n148\n158\n49\n2 YEARS\n57\n79\n90\n102\n249\n230\n47\n153\n132\n3 YEARS.\n85\n87\n102\n100\n242\n198\n60\n50\n133\n135\n4 YEARS.\n82\n61\n93\n83\n229\n216\n50\n63\n151\n142\n5 YEARS.\n86\n84\n91\n84\n249\n184\n57\n52\n136\n133\n6 YEARS.\n92\n80\n84\n72\n220\n245\n51\n72\n133\n126\n7 YEARS.\n84\n89\n95\n80\n230\n229\n72\n55\n154\n134\n8 YEARS.\n87\n91\n87\n79\n203\n196\n65\n64\n109\n109\n9 YEARS.\n77\n102\n100\n68\n210\n206\n55\n43\n108\n102\n10 YEARS\n77\n73\n88\n86\n195\n187\n57\n59\n125\n12C\n11 YEARS\n74\n71\n101\n99\n150\n174\n60\n40\n130\n104\n12 YEARS\n87\n85\n88\n85\n179\n174\n68\n45\n102\n107\n58\n103\n13 YEARS\n67\n77\n85\n111\n192\n167\n43\n96\n14 YEARS\n64\n66\n84\n81\n137\n92\n40\n41\n90\n94\n15 YEARS\n66\n71\n71\n80\n124\n137\n35\n40\n84\n72\n16 YEARS\n58\n63\n82\n92\n120\n126\n49\n37\n95\n87\n17 YEARS\n63\n53\n95\n84\n86\n109\n48\n40\n93\n53\n18 YEARS\n43\n35\n71\n95\n71\n93\n46\n23\n57\n63\n19 YEARS\n39\n38\n73\n116\n74\n102\n19\n25\n50\n55\n20 YEARS\n19\n35\n88\n99\n69\n106\n22\n23\n41\n54\n21 YEARS AND OVER.\n1 884\n2 096\n3 599\n4 305\n4 490\n4 715\n1 572\n1 503\n2 884\n2 930\nTOTAL\n3 325\n3 549\n5 511\n6 256\n8 180\n8 314\n2 608\n2 456\n5 236\n5 159\nUNDER 5 YEARS\n358\n340\n529\n540\n1 181\n1 072\n249\n236\n742\n720\n5 TO 9 YEARS\n426\n446\n457\n383\n1 112\n1 060\n300\n286\n640\n604\n10 TO 14 YEARS\n369\n372\n446\n462\n853\n794\n268\n243\n550\n521\n15. TO 19 YEARS\n269\n260\n392\n467\n475\n567\n197\n165\n379\n330\n20 TO 24 YEARS\n140\n172\n533\n505\n430\n591\n105\n103\n258\n368\n25 TO 29 YEARS\n152\n197\n396\n328\n634\n708\n114\n124\n434\n421\n30 TO 34 YEARS\n230\n309\n289\n303\n786\n832\n179\n186\n375\n389\n35 TO 39 YEARS\n303\n336\n302\n357\n803\n781\n199\n194\n386\n337\n40 TO 44 YEARS\n301\n292\n354\n426\n618\n565\n182\n178\n322\n279\n45 TO 49 YEARS\n267\n245\n370\n439\n431\n417\n173\n155\n258\n253\n50 TO 54 YEARS\n175\n193\n334\n413\n324\n285\n161\n167\n233\n206\n55 TO 59 YEARS\n148\n137\n299\n379\n186\n178\n135\n121\n180\n191\n60 TO 64 YEARS\n74\n91\n258\n347\n122\n145\n125\n115\n126\n152\n65 TO 69 YEARS\n60\n75\n212\n283\n84\n124\n96\n84\n139\n153\n70 TO 74 YEARS\n29\n35\n157\n240\n76\n95\n67\n49\n101\n95\n75 TO 79 YEARS\n12\n26\n99\n187\n29\n53\n38\n26\n61\n64\n80 TO 84 YEARS\n8\n18\n49\n107\n22\n28\n12\n19\n30\n51\n85 YEARS AND OVER.\n4\n5\n35\n90\n14\n19\n8\n5\n22\n25\nMEDIAN AGE\n28.3\n29.7\n30.0\n37.0\n25.3\n25.5\n32.0\n31.9\n25.6\n25.4\nWHITE.\n3 195\n3 421\n5 505\n6 249\n8 156\n8 292\n2 542\n2 395\n4 390\n4 332\nUNDER 5 YEARS\n355\n333\n527\n540\n1 177\n1 067\n237\n227\n613\n601\n5 TO 9 YEARS\n405\n428\n456\n383\n1 110\n1 057\n295\n282\n518\n489\n10 TO 14 YEARS\n328\n345\n446\n462\n852\n793\n263\n238\n439\n413\n15 TO 19 YEARS\n229\n231\n392\n467\n471\n566\n192\n158\n280\n252\n20 TO 24 YEARS\n133\n156\n533\n504\n428\n589\n102\n99\n208\n326\n25 TO 29 YEARS\n149\n189\n393\n326\n633\n706\n111\n123\n399\n384\n30 TO 34 YEARS\n226\n305\n289\n301\n786\n831\n179\n182\n344\n345\n35 TO 39 YEARS\n301\n335\n302\n357\n801\n778\n195\n189\n346\n293\n40 TO 44 YEARS\n297\n288\n354\n426\n617\n565\n177\n176\n277\n23C\n45 TO 49 YEARS\n267\n242\n370\n439\n427\n414\n168\n154\n218\n217\n50 TO 54 YEARS\n173\n191\n334\n413\n324\n285\n158\n163\n206\n173\n55 TO 59 YEARS\n146\n131\n299\n378\n186\n178\n130\n119\n147\n16C\n60 TO 64 YEARS\n74\n88\n258\n347\n122\n145\n123\n112\n107\n127\n65 TO 69 YEARS\n59\n75\n212\n283\n84\n124\n95\n80\n115\n125\n70 TO 74 YEARS\n29\n35\n157\n240\n74\n95\n63\n45\n88\n8C\n75 YEARS AND OVER.\n24\n49\n183\n383\n64\n99\n54\n48\n85\n117\nMEDIAN AGE\n29.9\n30.5\n30.1\n37.0\n25.3\n25.5\n32.0\n31.9\n26.7\n26.1\nNONWHITE\n130\n128\n6\n7\n24\n22\n66\n61\n846\n827\nUNDER 5 YEARS\n3\n7\n2\n4\n5\n12\n9\n129\n119\n5 TO 9 YEARS\n21\n18\n1\n2\n3\n5\n4\n122\n115\n10 TO 14 YEARS\n41\n27\n1\n1\n5\n5\n111\n10E\n15 TO 19 YEARS\n40\n29\n4\n1\n5\n7\n99\n78\n20 TO 24 YEARS\n7\n16\n1\n2\n2\n3\n4\n50\n42\n25 TO 29 YEARS\n3\n8\n3\n2\n1\n2\n3\n1\n35\n37\n30 TO 34 YEARS\n4\n4\n2\n1\n...\n4\n31\n44\n35 TO 39 YEARS\n2\n1\n2\n3\n4\n5\n40\n44\n4\n4\n1\n5\n2\n45\n49\n40 TO 44 YEARS\n45 TO 49 YEARS\n3\n4\n3\n5\n1\n40\n36\n2\n2\n3\n4\n27\n33\n50 TO 54 YEARS\n55 TO 59 YEARS\n2\n6\n1\n5\n2\n33\n31\n60 TO 64 YEARS\n3\n2\n3\n19\n25\n65 TO 69 YEARS\n1\n1\n4\n24\n25\n70 TO 74 YEARS\n2\n4\n4\n13\n15\n75 YEARS AND OVER.\n1\n1\n1\n4\n2\n28\n23\nMEDIAN AGE\n15.0\n17.1\n35.0\n30.6\n18.1\n19.6\nMARITAL STATUS\nTOTAL, 14 YEARS AND OVER\n2 236\n2 457\n4 163\n4 952\n5 171\n5 480\n1 831\n1 732\n3 394\n3 40E\nSINGLE\n433\n419\n917\n791\n813\n695\n398\n234\n710\n497\nMARRIED\n1 757\n1 780\n3 028\n3 089\n4 228\n4 275\n1 341\n1 322\n2 543\n2 554\nSEPARATED.\n7\n11\n22\n50\n24\n34\n25\n10\n42\n3-\nWIDOWED.\n27\n188\n115\n825\n61\n337\n47\n143\n85\n293\n70\n103\n247\n69\n173\n45\n33\n56\n6-\nDIVORCED\n19\nNONWHITE. 14 YEARS AND OVER\n69\n86\n3\n7\n18\n13\n45\n46\n500\n502\nSINGLE\n52\n57\n1\n1\n5\n...\n7\n11\n154\n104\nMARRIED\n13\n18\n2\n6\n11\n12\n32\n29\n315\n314\nSEPARATED\n...\n3\n...\n22\n1:\n4\nWIDOWED.\n2\n6\n2\n1\n4\n6\n18\n60\n2\n5\n...\n2\n13\n2-\nat the National Archives\n60\nCensus Tracts\n25\nTable P-2.-AGE, COLOR, AND MARITAL STATUS OF THE POPULATION, BY SEX, BY CENSUS TRACTS: 1960-Con.\n(Median not shown where base is less than 50]\nTOTALS FOR SPLIT TRACTS--CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0019\n0020\n0021\n0022\n0023\n0024\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nMALE\nFEMALE\nAGE\nTOTAL\n1 730\n1 718\n2 672\n2 668\n6 963\n7 072\n3 000\n1 754\n4 662\n3 784\n3 113\n2 618\nUNDER 1 YEAR\n31\n32\n77\n76\n201\n239\n41\n36\n160\n159\n65\n56\n1 YEAR\n34\n37\n87\n87\n255\n241\n37\n40\n176\n149\n64\n83\n2 YEARS.\n37\n38\n101\n86\n252\n231\n45\n27\n172\n160\n77\n64\n3 YEARS.\n42\n34\n111\n86\n266\n239\n42\n41\n138\n151\n61\n70\n4 YEARS.\n35\n26\n97\n84\n235\n228\n40\n37\n129\n126\n77\n58\n5 YEARS\n45\n32\n71\n65\n235\n228\n42\n37\n119\n114\n69\n61\n6 YEARS.\n36\n38\n55\n80\n211\n212\n33\n42\n119\n118\n70\n66\n7 YEARS.\n37\n36\n81\n61\n172\n218\n43\n37\n120\n106\n65\n61\n8 YEARS.\n40\n36\n66\n51\n173\n168\n28\n36\n102\n87\n58\n66\n9 YEARS.\n37\n32\n62\n69\n179\n176\n45\n45\n89\n99\n66\n59\n10 YEARS\n33\n23\n53\n53\n176\n146\n51\n30\n96\n73\n65\n66\n11 YEARS\n18\n37\n70\n48\n169\n133\n47\n34\n77\n87\n60\n45\n12 YEARS\n27\n36\n53\n62\n125\n148\n51\n32\n99\n73\n58\n57\n13 YEARS\n28\n34\n51\n50\n161\n151\n43\n40\n105\n65\n73\n55\n14 YEARS\n28\n22\n26\n36\n112\n88\n32\n30\n56\n46\n52\n56\n15 YEARS\n37\n32\n35\n34\n99\n85\n48\n41\n67\n62\n67\n46\n16 YEARS\n26\n21\n34\n33\n103\n86\n44\n24\n54\n49\n55\n36\n17 YEARS\n30\n27\n26\n26\n85\n78\n33\n30\n65\n50\n70\n43\n18 YEARS\n13\n23\n28\n20\n41\n84\n42\n33\n122\n45\n102\n37\n19 YEARS\n11\n16\n14\n37\n45\n83\n49\n32\n179\n51\n108\n27\n20 YEARS\n12\n11\n18\n43\n44\n73\n44\n26\n162\n76\n94\n28\n21 YEARS AND OVER.\n1 093\n1 095\n1 456\n1 481\n3 564\n3 737\n2 120\n1 024\n2 256\n1 838\n1 637\n1 478\nTOTAL\n1 730\n1 718\n2 672\n2 668\n6 963\n7 072\n3 000\n1 754\n4 662\n3 784\n3 113\n2 618\nUNDER 5 YEARS\n179\n167\n473\n419\n1 269\n1 178\n205\n181\n775\n745\n344\n331\n5 TO 9 YEARS\n195\n174\n335\n326\n970\n1 002\n191\n197\n549\n524\n328\n313\n10 TO 14 YEARS\n134\n152\n253\n249\n743\n666\n224\n166\n433\n344\n308\n279\n15 TO 19 YEARS\n117\n119\n137\n150\n373\n416\n216\n160\n487\n257\n402\n189\n20 TO 24 YEARS\n75\n64\n171\n255\n348\n499\n259\n86\n654\n384\n272\n160\n25 TO 29 YEARS\n76\n90\n283\n302\n644\n729\n258\n84\n447\n337\n189\n138\n30 TO 34 YEARS\n121\n135\n243\n224\n619\n655\n245\n86\n323\n293\n151\n167\n35 TO 39 YEARS\n161\n169\n232\n209\n629\n578\n253\n109\n269\n259\n176\n180\n40 TO 44 YEARS\n148\n152\n136\n115\n437\n380\n237\n98\n240\n153\n166\n161\n45 TO 49 YEARS\n134\n145\n108\n104\n306\n296\n203\n92\n136\n145\n186\n173\n50 TO 54 YEARS\n144\n127\n74\n89\n206\n189\n202\n110\n87\n85\n164\n174\n55 TO 59 YEARS\n98\n71\n78\n56\n140\n152\n168\n97\n69\n68\n135\n93\n60 TO 64 YEARS\n59\n55\n47\n48\n89\n83\n100\n84\n67\n71\n72\n80\n65 TO 69 YEARS\n40\n43\n27\n36\n84\n100\n94\n92\n48\n36\n101\n75\n70 TO 74 YEARS\n27\n21\n33\n38\n49\n61\n73\n39\n38\n34\n50\n50\n75 TO 79 YEARS\n14\n15\n17\n25\n27\n49\n41\n37\n29\n33\n41\n23\n80 TO 84 YEARS\n6\n12\n8\n13\n15\n26\n20\n24\n8\n8\n16\n21\n85 YEARS AND OVER.\n2\n7\n17\n10\n15\n13\n11\n12\n3\n8\n12\n11\nMEDIAN AGE\n33.7\n33.4\n24.0\n23.7\n21.8\n22.7\n33.0\n30.2\n20.7\n20.3\n23.2\n26.3\nWHITE\n1 725\n1 712\n2 662\n2 659\n5 645\n5 712\n2 526\n1 340\n4 118\n3 332\n2 918\n2 426\nUNDER 5 YEARS\n179\n167\n470\n418\n1 048\n988\n165\n139\n705\n662\n313\n299\n5 TO 9 YEARS\n195\n174\n334\n326\n781\n804\n150\n157\n482\n478\n306\n280\n10 TO 14 YEARS\n134\n152\n253\n249\n581\n519\n181\n122\n381\n293\n285\n256\n15 TO 19 YEARS\n117\n119\n137\n150\n275\n314\n177\n119\n416\n218\n381\n174\n20 TO 24 YEARS\n75\n64\n171\n255\n271\n404\n242\n70\n575\n342\n262\n151\n25 TO 29 YEARS\n76\n89\n282\n300\n535\n598\n220\n68\n402\n308\n182\n129\n30 TO 34 YEARS\n120\n134\n241\n222\n519\n553\n217\n69\n284\n264\n145\n158\n35 TO 39 YEARS\n161\n169\n232\n209\n545\n470\n231\n92\n244\n236\n169\n177\n40 TO 44 YEARS\n148\n152\n135\n114\n366\n305\n212\n82\n226\n136\n159\n153\n45 TO 49 YEARS\n132\n145\n107\n102\n237\n218\n180\n79\n114\n127\n176\n162\n50 TO 54 YEARS\n144\n126\n74\n88\n164\n151\n166\n89\n71\n69\n158\n164\n55 TO 59 YEARS\n97\n70\n78\n56\n111\n120\n131\n69\n59\n55\n121\n88\n60 TO 64 YEARS\n59\n53\n47\n48\n69\n68\n79\n60\n56\n50\n67\n71\n65 TO 69 YEARS\n39\n43\n26\n36\n58\n78\n71\n52\n39\n27\n88\n71\n70 TO 74 YEARS\n27\n21\n33\n38\n43\n51\n54\n23\n30\n27\n44\n46\n75 YEARS AND OVER\n22\n34\n42\n48\n42\n71\n50\n50\n34\n40\n62\n47\nMEDIAN AGE\n33.6\n33.4\n24.0\n23.7\n22.5\n22.9\n32.9\n29.6\n20.7\n20.2\n23.3\n27.1\nNONWHITE\n5\n6\n10\n9\n1 318\n1 360\n474\n414\n544\n452\n195\n192\nUNDER 5 YEARS\n3\n1\n221\n190\n40\n42\n70\n83\n31\n32\n5 TO 9 YEARS\n1\n189\n198\n41\n40\n67\n46\n22\n33\n10 TO 14 YEARS\n162\n147\n43\n44\n52\n51\n23\n23\n15 TO 19 YEARS\n98\n102\n39\n41\n71\n39\n21\n15\n20 TO 24 YEARS\n77\n95\n17\n16\n79\n42\n10\n9\n25 TO 29 YEARS\n1\n1\n2\n109\n131\n38\n16\n45\n29\n7\n9\n30 TO 34 YEARS\n1\n2\n2\n100\n102\n28\n17\n39\n29\n6\n9\n35 TO 39 YEARS\n84\n108\n22\n17\n25\n23\n7\n3\n40 TO 44 YEARS\n1\n1\n71\n75\n25\n16\n14\n17\n7\n8\n45 TO 49 YEARS\n2\n1\n2\n69\n78\n23\n13\n22\n18\n10\n11\n50 TO 54 YEARS\n1\n1\n42\n38\n36\n21\n16\n16\n6\n10\n55 TO 59 YEARS\n1\n29\n32\n37\n28\n10\n13\n14\n5\n60 TO 64 YEARS\n2\n20\n15\n21\n24\n11\n21\n5\n9\n65 TO 69 YEARS\n1\n26\n22\n23\n40\n9\n9\n13\n4\n70 TO 74 YEARS\n6\n10\n19\n16\n8\n7\n6\n4\n75 YEARS AND OVER.\n15\n17\n22\n23\n6\n9\n7\n8\nMEDIAN AGE\n19.4\n22.3\n33.4\n32.4\n20.8\n20.8\n20.3\n17.7\nMARITAL STATUS\nTOTAL. 14 YEARS AND OVER\n1 250\n1 247\n1 637\n1 710\n4 093\n4 314\n2 412\n1 240\n2 961\n2 217\n2 185\n1 751\nSINGLE\n248\n187\n234\n192\n686\n561\n1 514\n236\n1 042\n308\n834\n301\nMARRIED\n939\n950\n1 352\n1 365\n3 284\n3 339\n822\n820\n1 822\n1 738\n1 271\n1 272\nSEPARATED\n1\n3\n7\n6\n36\n43\n9\n11\n47\n31\n19\n9\nWIDOWED.\n32\n85\n33\n121\n67\n290\n47\n156\n40\n125\n53\n135\nDIVORCED\n31\n25\n18\n32\n56\n124\n29\n28\n57\n46\n27\n43\nNONWHITE. 14 YEARS AND OVER.\n5\n6\n6\n8\n772\n847\n358\n294\n364\n283\n120\n110\nSINGLE\n1\n1\n1\n1\n174\n143\n195\n77\n147\n58\n33\n29\nMARRIED\n3\n3\n4\n7\n548\n574\n137\n139\n194\n178\n75\n73\nSEPARATED.\n21\n30\n4\n5\n18\n15\n5\n2\nWIDOWED\n1\n2\n25\n80\n15\n56\n12\n33\n8\n6\nDIVORCED\n1\n25\n50\n11\n22\n11\n14\n4\n2\nReproduced at the National Archives\n61\n26\nCensus Tracts\nTable P-3.-LABOR FORCE CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960\n[Based on 25-percent sample. Percent not shown where base is less than 200]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0002\n0003\n0004\n0005\n0006\n0007\n0008\n0009\n0010\nEMPLOYMENT STATUS. OCC., & INDUSTRY\nMALE, 14 YEARS OLD AND OVER.\n74 701\n64 460\n10 241\n2 227\n4 624\n4 162\n3 287\n1 509\n5 883\n1 566\n4 563\n3 694\n2 065\nLABOR FORCE.\n53 081\n45 816\n7 265\n1 833\n2 541\n3 310\n2 291\n875\n2 369\n953\n3 528\n2 731\n1 561\nPERCENT OF TOTAL\n71.1\n71.1\n70.9\n82.3\n55.0\n79.5\n69.7\n58.0\n40.3\n60.9\n77.3\n73.9\n75.6\nCIVILIAN LABOR FORCE\n49 984\n44 264\n5 720\n1 817\n2 506\n3 202\n2 181\n847\n2 356\n897\n3 445\n2 686\n1 508\nEMPLOYED\n48 120\n42 606\n5 514\n1 786\n2 463\n3 116\n2 108\n819\n2 152\n836\n3 254\n2 490\n1 394\nUNEMPLOYED\n1 864\n1 658\n206\n31\n43\n86\n73\n28\n204\n61\n191\n196\n114\nPERCENT OF CIV. LABOR FORCE\n3.7\n3.7\n3.6\n1.7\n1.7\n2.7\n3.3\n3.3\n8.7\n6.8\n5.5\n7.3\n7.6\nNOT IN LABOR FORCE\n21 620\n18 644\n2 976\n394\n2 083\n852\n996\n634\n3 514\n613\n1 035\n963\n504\nFEMALE. 14 YEARS OLD AND OVER\n76 600\n68 906\n7 694\n2 452\n5 234\n4 951\n3 240\n1 521\n4 820\n1 635\n5 761\n4 294\n2 171\nLABOR\nFORCE.\n30 152\n27 909\n2 243\n929\n1 698\n2 213\n1 581\n765\n1 281\n994\n2 967\n1 438\n742\nPERCENT OF TOTAL\n39.4\n40.5\n29.2\n37.9\n32.4\n44.7\n48.8\n50.3\n26.6\n60.8\n51.5\n33.5\n34.2\nEMPLOYED\n29 331\n27 152\n2 179\n916\n1 666\n2 164\n1 544\n753\n1 254\n972\n2 866\n1 376\n693\nUNEMPLOYED\n796\n753\n43\n13\n32\n49\n37\n12\n27\n22\n101\n62\n49\nPERCENT OF CIV. LABOR FORCE\n2.6\n2.7\n1.9\n1.4\n1.9\n2.2\n2.3\n1.6\n2.1\n2.2\n3.4\n4.3\n6.6\nNOT IN LABOR FORCE\n46 448\n40\n997\n5 451\n1 523\n3 536\n2 738\n1 659\n756\n3 539\n641\n2 794\n2 856\n1 429\nMARRIED WOMEN IN L.F., HUSBAND PRES\n17 300\n15 560\n1 740\n609\n1 039\n1 296\n866\n341\n236\n223\n1 327\n586\n375\nWITH OWN CHILDREN UNDER 6.\n4 467\n4 078\n389\n140\n221\n307\n187\n53\n56\n26\n330\n185\n148\nMALE. EMPLOYED\n48 120\n42 606\n5 514\n1 786\n2 463\n3 116\n2 108\n819\n2 152\n836\n3 254\n2 490\n1 394\nPROFESS'L TECHN'L & KINDRED WORKERS.\n8 053\n7 506\n547\n517\n474\n451\n460\n297\n778\n211\n124\n42\n24\nMGRS.. OFFS., & PROPR'S INCL. FARM\n7 140\n5 770\n1 370\n537\n301\n456\n259\n101\n122\n95\n83\n98\n71\nCLERICAL AND KINDRED WORKERS\n4 198\n3 884\n314\n159\n267\n436\n227\n112\n214\n70\n109\n62\n73\nSALES WORKERS.\n3 902\n3 656\n246\n243\n251\n291\n182\n80\n170\n82\n76\n92\n42\nCRAFTSMEN, FOREMEN, & KINDRED WORKERS.\n8 161\n7 171\n990\n105\n533\n734\n271\n97\n53\n69\n377\n438\n339\nOPERATIVES AND KINDRED WORKERS\n5 478\n4 819\n659\n71\n253\n275\n216\n33\n84\n106\n541\n612\n330\nPRIVATE HOUSEHOLD WORKERS.\n71\n69\n2\n...\n...\n8\n4\n...\n...\n...\n33\n4\n8\nSERVICE WKRS.. EXC. PRIV. HOUSEHOLD\n4 592\n4 294\n298\n56\n210\n205\n228\n52\n243\n93\n984\n410\n148\nLABORERS, EXCEPT MINE.\n3 607\n2 816\n791\n54\n73\n113\n96\n8\n77\n47\n556\n474\n241\nOCCUPATION NOT REPORTED\n2 918\n2 621\n297\n44\n101\n147\n165\n39\n411\n63\n371\n258\n118\nFEMALE. EMPLOYED\n29 331\n27 152\n2 179\n916\n1 666\n2 164\n1 544\n753\n1 254\n972\n2 866\n1 376\n693\nPROFESS'L TECHN'L' & KINDRED WORKERS.\n4 764\n4 453\n311\n265\n320\n259\n307\n242\n402\n230\n242\n37\n24\nMGRS.. OFFS. & PROPR'S INCL. FARM.\n1 256\n1 126\n130\n91\n79\n98\n69\n35\n41\n52\n24\n22\n3\nCLERICAL AND KINDRED WORKERS\n10 507\n9 779\n728\n393\n661\n962\n545\n316\n434\n451\n109\n106\n95\nSALES WORKERS.\n1 809\n1 629\n180\n34\n102\n197\n104\n41\n46\n31\n49\n84\n47\nCRAFTSMEN. FOREMEN. & KINDRED WORKERS.\n341\n306\n35\n13\n16\n24\n20\n...\n8\n8\nB\n30\n8\nOPERATIVES AND KINDRED WORKERS\n1 473\n1 365\n108\n12\n65\n109\n39\n8\n15\n31\n143\n254\n171\nPRIVATE HOUSEHOLD WORKERS.\n2 851\n2 721\n130\n8\n64\n84\n198\n12\n4\n27\n1 286\n255\n66\nSERVICE WKRS.. EXC. PRIV. HOUSEHOLD.\n4 525\n4 165\n360\n84\n270\n307\n191\n58\n160\n102\n712\n419\n223\nLABORERS, EXCEPT MINE.\n150\n92\n58\n...\n...\n...\n...\n...\n...\n4\n20\n12\n15\nOCCUPATION NOT REPORTED\n1 655\n1 516\n139\n16\n89\n124\n71\n41\n144\n36\n273\n157\n41\nTOTAL EMPLOYED\n77 451\n69 758\n7 693\n2 702\n4 129\n5 280\n3 652\n1 572\n3 406\n1 808\n6 120\n3 866\n2 087\nPRIVATE WAGE AND SALARY WORKERS\n45 700\n41 459\n4 241\n1 175\n2 080\n2 789\n2 066\n716\n1 837\n973\n4 790\n3 211\n1 697\nGOVERNMENT WORKERS\n23 106\n21 370\n1 736\n1 013\n1 596\n1 817\n1 210\n719\n1 413\n741\n975\n418\n251\nSELF-EMPLOYED WORKERS\n7 982\n6 422\n1 560\n454\n418\n621\n347\n125\n136\n94\n332\n221\n127\nUNPAID FAMILY WORKERS.\n663\n507\n156\n60\n35\n53\n29\n12\n20\n...\n23\n16\n12\nTOTAL EMPLOYED\n77 451\n69\n758\n7 693\n2 702\n4 129\n5 280\n3 652\n1 572\n3 406\n1 808\n6 120\n3 866\n2 087\nMINING\n401\n317\n84\n4\n9\n31\n22\n4\n4\n4\n19\n26\n20\nCONSTRUCTION\n7 149\n6 083\n1 066\n222\n412\n480\n219\n78\n56\n76\n399\n425\n300\nMANUFACTURING.\n5 780\n5 249\n531\n158\n257\n419\n166\n59\n135\n109\n213\n501\n279\nFURNITURE & LUMBER & WOOD PRODUCTS\n703\n596\n107\n4\n15\n40\n4\n...\n5\n47\n43\n98\n68\nMETAL INDUSTRIES\n297\n281\n16\n9\n20\n20\n16\n...\n14\n...\n12\n39\n14\nMACHINERY.\n376\n340\n36\n8\n24\n45\n11\n...\n8\n8\n...\n12\n16\nTRANSPORTATION EQUIPMENT\n216\n216\n...\n5\n16\n16\n...\n4\n4\n...\n...\n37\n21\nOTHER DURABLE GOODS.\n510\n423\n87\n25\n4\n36\n21\n...\n12\n10\n16\n48\n32\nFOOD AND KINDRED PRODUCTS.\n1 293\n1 199\n94\n25\n28\n60\n59\n3\n8\n8\n82\n170\n79\nTEXTILE AND APPAREL PRODUCTS\n76\n72\n4\n...\n8\n12\n...\n...\n4\n...\n...\n4\n...\nPRINT.. PUBLISH'G & ALLIED INDUS\n1 869\n1 718\n151\n71\n114\n170\n52\n36\n55\n28\n25\n56\n45\nOTHER NONDUR. (INCL. NOT SPEC. MFG).\n440\n404\n36\n11\n28\n20\n3\n16\n25\n8\n35\n37\n4\nRAILROAD AND RAILWAY EXPRESS SERVICE\n288\n262\n26\n4\n16\n29\n27\n...\n4\n4\n24\n13\n12\nOTHER TRANSPORTATION\n1 017\n903\n114\n21\n31\n52\n29\n12\n21\n34\n76\n72\n37\nCOMMUN. UTIL.. & SANITARY SERV.\n2 421\n2 250\n171\n71\n169\n164\n99\n48\n46\n44\n134\n88\n30\nWHOLESALE TRADE.\n2 392\n2 133\n259\n95\n102\n141\n125\n12\n44\n38\n127\n98\n76\nEATING AND DRINKING PLACES\n2 314\n2 087\n227\n31\n109\n87\n87\n20\n32\n80\n252\n293\n203\nOTHER RETAIL TRADE\n10 334\n9 531\n803\n354\n605\n888\n556\n155\n328\n193\n607\n535\n306\nBUSINESS AND REPAIR SERVICES\n1 982\n1 818\n164\n72\n104\n168\n70\n19\n45\n12\n93\n144\n88\nPRIVATE HOUSEHOLDS\n3 446\n3 267\n179\n17\n81\n117\n217\n24\n15\n32\n1 481\n296\n92\nOTHER PERSONAL SERVICES\n3 979\n3 752\n227\n57\n160\n208\n197\n63\n274\n115\n714\n427\n194\nHOSPITALS.\n2 289\n2 191\n98\n39\n265\n289\n174\n100\n75\n103\n143\n101\n57\nEDUCATIONAL SERVICES\n10 051\n9 264\n787\n479\n603\n597\n660\n452\n1 196\n264\n577\n157\n84\nOTHER PROFESSIONAL AND RELATED SERV.\n5 015\n4 698\n317\n365\n346\n323\n229\n138\n238\n165\n196\n106\n59\nPUBLIC ADMINISTRATION.\n8 093\n7 502\n591\n358\n451\n727\n372\n193\n197\n312\n186\n118\n70\nOTHER INDUSTRIES (INCL. NOT REPORTED\n10 500\n8 451\n2 049\n355\n409\n560\n403\n195\n696\n223\n879\n466\n180\nMEANS OF TRANSPORT. & PLACE OF WORK\nALL WORKERS (INCL. ARMED FORCES)\n79 223\n70 150\n9 073\n2 690\n4 115\n5 305\n3 700\n1 600\n3 290\n1 831\n6 078\n3 813\n2 086\nPRIVATE AUTOMOBILE OR CAR POOL\n57 984\n51 763\n6 221\n2 324\n3 260\n4 215\n2 579\n1 230\n1 150\n874\n3 094\n2 154\n1 334\nRAILROAD\n20\n20\n...\n...\n...\n...\n4\n...\n4\n...\n...\n...\n...\nSUBWAY OR ELEVATED\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\nBUS OR STREETCAR\n5 627\n5 574\n53\n33\n178\n343\n306\n44\n131\n193\n1 806\n784\n334\nWALKED TO WORK\n5 875\n4 985\n890\n115\n213\n197\n338\n139\n1 114\n565\n328\n414\n172\nOTHER MEANS.\n2 561\n2 231\n330\n57\n145\n172\n141\n41\n47\n29\n162\n113\n70\nWORKED AT HOME\n3 239\n2 066\n1 173\n95\n152\n195\n107\n73\n254\n58\n190\n85\n54\nNOT REPORTED\n3 917\n3 511\n406\n66\n167\n183\n225\n73\n590\n112\n498\n263\n122\nINSIDE SMSA.\n73 571\n65\n184\n8 387\n2 554\n3 852\n4 991\n3 415\n1 498\n2 651\n1 715\n5 497\n3 540\n1 916\nAUSTIN CITY.\n66 631\n62 358\n4 273\n2 469\n3 739\n4 760\n3 211\n1 446\n2 594\n1 641\n5 342\n3 450\n1 828\nREMAINDER OF TRAVIS COUNTY\n6 940\n2 826\n4 114\n85\n113\n231\n204\n52\n57\n74\n155\n90\n88\nOUTSIDE SMSA\n1 921\n1 605\n316\n85\n104\n106\n74\n37\n111\n16\n114\n27\n66\nPLACE OF WORK NOT REPORTED\n3 731\n3 361\n370\n51\n159\n208\n211\n65\n528\n100\n467\n246\n104\nReproduced at the National Archives\n62\nCensus Tracts\n27\nTable P-3.-LABOR FORCE CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960-Con.\n(Based on 25-percent sample. Percent not shown where base is less than 200)\nAUSTIN--CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0011\n0012\n0013\n0014\n0015\n0016\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nEMPLOYMENT STATUS OCC., & INDUSTRY\nMALE. 14 YEARS OLD AND OVER.\n1 320\n2 097\n4 586\n1 608\n5 171\n6 536\n300\n1 459\n450\n1 652\n3 981\n352\n921\n447\nLABOR FORCE.\n860\n1 070\n3 646\n1 287\n4 528\n4 349\n264\n1 248\n391\n1 455\n3 454\n243\n753\n276\nPERCENT OF TOTAL\n65.2\n51.0\n79.5\n80.0\n87.6\n66.5\n88.0\n85.5\n86.9\n88.1\n86.8\n69.0\n81.8\n61.7\nCIVILIAN LABOR FORCE\n844\n1 032\n3 518\n1 205\n4 444\n4 285\n252\n1 210\n383\n1 305\n3 167\n221\n695\n258\nEMPLOYED\n767\n978\n3 387\n1 167\n4 386\n4 205\n252\n1 182\n379\n1 258\n3 119\n221\n638\n249\nUNEMPLOYED\n77\n54\n131\n38\n58\n80\n...\n28\n4\n47\n48\n...\n57\n9\nPERCENT OF CIV. LABOR FORCE\n9.1\n5.2\n3.7\n3.2\n1.3\n1.9\n...\n2.3\n1.0\n3.6\n1.5\n...\n8.2\n3.5\nNOT IN LABOR FORCE\n460\n1 027\n940\n321\n643\n2 187\n36\n211\n59\n197\n527\n109\n168\n171\nFEMALE. 14 YEARS OLD AND OVER\n1 250\n1 534\n5 191\n1 880\n5 480\n7 603\n347\n1 632\n459\n1 684\n4 201\n334\n944\n288\nLABOR\nFORCE\n639\n712\n2 064\n868\n2 307\n2 909\n85\n674\n166\n681\n1 693\n100\n276\n127\nPERCENT OF TOTAL\n51.1\n46.4\n39.8\n46.2\n42.1\n38.3\n24.5\n41.3\n36.2\n40.4\n40.3\n29.9\n29.2\n44.1\nEMPLOYED\n608\n681\n1 998\n839\n2 256\n2 884\n81\n667\n163\n661\n1 652\n100\n231\n127\nUNEMPLOYED\n31\n31\n66\n29\n51\n25\n4\n7\n3\n16\n41\n...\n45\n...\nPERCENT OF CIV. LABOR FORCE.\n4.9\n4.4\n3.2\n3.3\n2.2\n0.9\n...\n1.0\n...\n2.4\n2.4\n...\n16.3\n...\nNOT IN LABOR FORCE\n611\n822\n3 127\n1 012\n3 173\n4 694\n262\n958\n293\n1 003\n2 508\n234\n668\n161\nMARRIED WOMEN IN L.F., HUSBAND PRES.\n134\n367\n1 336\n529\n1 784\n1 707\n58\n514\n146\n554\n1 259\n79\n138\n57\nWITH OWN CHILDREN UNDER 6\n30\n83\n380\n94\n513\n397\n12\n181\n20\n211\n401\n26\n51\n26\nMALE, EMPLOYED\n767\n978\n3 387\n1 167\n4 386\n4 205\n252\n1 182\n379\n1 258\n3 119\n221\n638\n249\nPROFESS'L TECHN'L. & KINDRED WORKERS.\n37\n138\n376\n147\n706\n1 580\n71\n164\n146\n114\n576\n10\n...\n63\nMGRS. OFFS. & PROPR'S INCL. FARM\n95\n114\n415\n241\n713\n1 120\n36\n129\n94\n179\n411\n25\n44\n31\nCLERICAL AND KINDRED WORKERS\n80\n136\n319\n150\n449\n381\n41\n101\n28\n123\n289\n7\n27\n24\nSALES WORKERS.\n60\n54\n298\n172\n423\n509\n32\n92\n55\n97\n295\n24\n...\n36\nCRAFTSMEN, FOREMEN. & KINDRED WORKERS.\n76\n154\n864\n207\n1 120\n208\n44\n318\n39\n374\n528\n61\n130\n32\nOPERATIVES AND KINDRED WORKERS\n127\n107\n481\n75\n409\n103\n20\n140\n9\n187\n374\n33\n218\n15\nPRIVATE HOUSEHOLD WORKERS.\n...\n4\n...\n...\n...\n4\n...\n...\n...\n...\n4\n...\n...\n...\nSERVICE WKRS., EXC. PRIV. HOUSEHOLD.\n92\n144\n295\n87\n319\n137\n...\n117\n3\n82\n306\n13\n62\n8\nLABORERS. EXCEPT MINE.\n88\n55\n211\n39\n113\n50\n...\n102\n...\n34\n211\n35\n131\n8\nOCCUPATION NOT REPORTED.\n112\n72\n128\n49\n134\n113\n8\n19\n5\n68\n125\n13\n26\n32\nFEMALE, EMPLOYED\n608\n681\n1 998\n839\n2 256\n2 884\n81\n667\n163\n661\n1 652\n100\n231\n127\nPROFESS'L TECHN'L. & KINDRED WORKERS.\n64\n79\n194\n162\n308\n834\n20\n41\n58\n66\n250\n...\n37\n12\nMGRS. OFFS.. & PROPR'S INCL. FARM\n25\n24\n92\n44\n115\n209\n...\n8\n7\n25\n41\n7\n4\n11\nCLERICAL AND KINDRED WORKERS\n261\n262\n863\n413\n1 144\n1 281\n50\n313\n76\n345\n585\n45\n16\n53\nSALES WORKERS.\n46\n45\n168\n81\n155\n173\n7\n19\n13\n32\n108\n21\n4\n22\nCRAFTSMEN, FOREMEN, & KINDRED WORKERS.\n3\n4\n34\n8\n28\n41\n...\n12\n4\n4\n25\n3\n5\n...\nOPERATIVES AND KINDRED WORKERS\n54\n23\n137\n15\n57\n48\n...\n28\n...\n20\n56\n10\n70\n...\nPRIVATE HOUSEHOLD WORKERS.\n14\n62\n94\n27\n50\n91\n...\n122\n...\n21\n207\n4\n21\n4\nSERVICE WKRS., EXC. PRIV. HOUSEHOLD.\n89\n111\n356\n59\n335\n133\n...\n90\n5\n122\n270\n7\n45\n17\nLABORERS, EXCEPT MINE.\n...\n...\n8\n4\n...\n...\n...\n4\n...\n3\n10\n...\n12\n...\nOCCUPATION NOT REPORTED\n52\n71\n52\n26\n64\n74\n4\n30\n...\n23\n100\n3\n17\n8\nTOTAL EMPLOYED\n1 375\n1 659\n5 385\n2 006\n6 642\n7 089\n333\n1 849\n542\n1 919\n4 771\n321\n869\n376\nPRIVATE WAGE AND SALARY WORKERS\n979\n983\n3 411\n1 035\n3 774\n2 930\n209\n1 145\n276\n1 244\n2 952\n229\n678\n280\nGOVERNMENT WORKERS\n267\n507\n1 527\n667\n2 254\n2 928\n72\n577\n177\n516\n1 507\n53\n124\n41\nSELF-EMPLOYED WORKERS.\n118\n149\n410\n284\n567\n1 180\n48\n113\n89\n152\n292\n35\n59\n51\nUNPAID FAMILY WORKERS\n11\n20\n37\n20\n47\n51\n4\n14\n...\n7\n20\n4\n8\n4\nTOTAL EMPLOYED\n1 375\n1 659\n5 385\n2 006\n6 642\n7 089\n333\n1 849\n542\n1 919\n4 771\n321\n869\n376\nMINING\n7\n...\n17\n4\n33\n64\n...\n14\n4\n...\n23\n...\n6\n...\nCONSTRUCTION\n80\n117\n630\n177\n808\n350\n48\n293\n46\n234\n423\n62\n127\n21\nMANUFACTURING.\n91\n113\n552\n138\n656\n431\n28\n143\n47\n177\n389\n26\n141\n21\nFURNITURE & LUMBER & WOOD PRODUCTS\n8\n16\n69\n8\n22\n20\n...\n11\n8\n18\n40\n...\n52\n...\nMETAL INDUSTRIES\n8\n29\n14\n24\n4\n...\n8\n8\n23\n14\n...\n5\n...\nMACHINERY.\n4\n4\n30\n8\n78\n24\n4\n12\n3\n12\n17\n3\n4\n5\nTRANSPORTATION EQUIPMENT\n11\n...\n19\n7\n26\n8\n...\n4\n...\n...\n23\n3\n8\n4\nOTHER DURABLE GOODS.\n8\n4\n28\n9\n46\n37\n...\n4\n...\n21\n46\n...\n12\n4\nFOOD AND KINDRED PRODUCTS\n21\n27\n161\n27\n150\n48\n16\n9\n23\n34\n101\n13\n43\n4\nTEXTILE AND APPAREL PRODUCTS\n...\n...\n9\n...\n9\n4\n4\n...\n5\n...\n9\n...\n4\n...\nPRINT.. PUBLISH'G. & ALLIED INDUS.\n39\n54\n192\n61\n232\n225\n4\n66\n...\n61\n112\n7\n9\n4\nOTHER NONOUR. (INCL. NOT SPEC. MFG).\n...\n15\n4\n69\n61\n...\n29\n...\n8\n27\n...\n4\n...\nRAILROAD AND RAILWAY EXPRESS SERVICE\n4\n12\n16\n12\n20\n24\n...\n...\n8\n9\n24\n...\n...\n...\nOTHER TRANSPORTATION\n34\n30\n65\n16\n124\n76\n4\n31\n5\n34\n72\n11\n8\n8\nCOMMUN.. UTIL.. & SANITARY SERV\n52\n43\n253\n61\n299\n192\n17\n62\n26\n117\n197\n8\n17\n13\nWHOLESALE TRADE\n42\n58\n200\n105\n215\n228\n15\n61\n17\n103\n177\n13\n16\n25\nEATING AND DRINKING PLACES\n89\n60\n180\n41\n134\n61\n...\n29\n12\n99\n120\n4\n40\n24\nOTHER RETAIL TRADE\n219\n294\n903\n354\n890\n841\n31\n234\n80\n264\n636\n61\n127\n70\nBUSINESS AND REPAIR SERVICES\n52\n28\n181\n42\n216\n175\n13\n38\n8\n65\n106\n35\n34\n10\nPRIVATE HOUSEHOLDS\n19\n74\n129\n35\n73\n115\n...\n147\n...\n21\n248\n4\n26\n4\nOTHER PERSONAL SERVICES\n117\n82\n286\n78\n252\n105\n...\n78\n...\n66\n185\n21\n61\n12\nHOSPITALS.\n40\n90\n100\n50\n161\n113\n...\n52\n15\n29\n164\n7\n12\n12\nEDUCATIONAL SERVICES\n71\n139\n481\n222\n671\n1 550\n30\n177\n79\n90\n566\n18\n37\n64\nOTHER PROFESSIONAL AND RELATED SERV\n65\n122\n258\n91\n473\n898\n41\n62\n57\n114\n300\n8\n23\n21\nPUBLIC ADMINISTRATION.\n126\n190\n663\n289\n974\n1 021\n44\n236\n71\n280\n538\n14\n59\n13\nOTHER INDUSTRIES (INCL. NOT REPORTED)\n267\n207\n471\n291\n643\n845\n62\n192\n67\n217\n603\n29\n133\n58\nMEANS OF TRANSPORT. & PLACE OF WORK\nALL WORKERS (INCL. ARMED FORCES)\n1 360\n1 663\n5 427\n2 076\n6 685\n7 053\n341\n1 856\n550\n2 050\n4 968\n339\n903\n371\nPRIVATE AUTOMOBILE OR CAR POOL\n520\n1 097\n4 305\n1 767\n5 838\n6 288\n315\n1 612\n512\n1 811\n4 295\n276\n663\n250\nRAILROAD\n...\n4\n...\n...\n...\n...\n...\n...\n4\n...\n4\n...\n...\n...\nSUBWAY OR ELEVATED\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\nBUS OR STREETCAR\n112\n174\n387\n69\n94\n183\n6\n39\n5\n18\n218\n17\n85\n15\nWALKED TO WORK\n454\n219\n213\n35\n105\n121\n...\n35\n...\n9\n85\n4\n68\n42\nOTHER MEANS\n71\n45\n241\n53\n323\n100\n8\n95\n15\n88\n154\n13\n45\n3\n#ORKED AT HOME\n55\n23\n163\n61\n131\n169\n...\n23\n9\n58\n64\n18\n4\n25\nNOT REPORTED\n148\n101\n118\n91\n194\n192\n12\n52\n5\n66\n148\n11\n38\n36\nINSIDE SMSA\n1 201\n1 546\n5 219\n1 963\n6 260\n6 708\n313\n1 724\n515\n1 934\n4 680\n332\n849\n311\nAUSTIN CITY,\n1 157\n1 468\n4 916\n1 840\n6 026\n6 573\n301\n1 634\n484\n1 737\n4 428\n304\n712\n298\nREMAINDER OF TRAVIS COUNTY\n44\n78\n303\n123\n234\n135\n12\n90\n31\n197\n252\n28\n137\n13\nOUTSIDE SMSA\n12\n20\n90\n38\n215\n153\n...\n88\n25\n45\n139\n...\n12\n28\nPLACE OF WORK NOT REPORTED\n147\n97\n118\n75\n210\n192\n28\n44\n10\n71\n149\n7\n42\n32\n63\nReproduced at the National Archives\n'8\nCensus Tracts\nTable P-3.-LABOR FORCE CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960-Con.\n[Based on 25-percent sample. Percent not shown where base is less than 200]\nBALANCE OF TRAVIS COUNTY\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nEMPLOYMENT STATUS OCC.. & INDUSTRY\nMALE, 14 YEARS OLD AND OVER\n8\n1 489\n1 994\n792\n4\n121\n2 070\n2 040\n1 723\nABOR FORCE.\n1 133\n1 606\n661\n4\n98\n640\n1 878\n1 245\nPERCENT OF TOTAL\n76.1\n80.5\n83.5\n...\n...\n30.9\n92.1\n72.3\nCIVILIAN LABOR FORCE\n1 107\n1 575\n640\n4\n98\n640\n443\n1 213\nEMPLOYED\n1 055\n1 530\n632\n...\n98\n626\n386\n1 187\nUNEMPLOYED\n52\n45\n8\n-4\n...\n14\n57\n26\nPERCENT OF CIV. LABOR FORCE\n4.7\n2.9\n1.3\n...\n...\n2.2\n12.9\n2.1\nOT IN LABOR FORCE\n8\n356\n388\n131\n...\n23\n1 430\n162\n478\nFEMALE. 14 YEARS OLD AND OVER.\n4\n1 429\n1 717\n796\n4\n119\n872\n1 273\n1 480\nABOR FORCE\n387\n555\n305\n21\n239\n265\n471\nPERCENT OF TOTAL\n27.1\n32.3\n38.3\n...\n27.4\n20.8\n31.8\nEMPLOYED\n372\n534\n305\n21\n239\n249\n459\nUNEMPLOYED\n10\n21\n...\n...\n...\n...\n12\nPERCENT OF CIV. LABOR FORCE.\n2.6\n3.8\n...\n...\n...\n...\n...\n2.5\nNOT IN LABOR FORCE\n4\n1 042\n1 162\n491\n4\n98\n633\n1 008\n1 009\nMARRIED WOMEN IN L.F.. HUSBAND PRES\n325\n487\n210\n...\n18\n148\n214\n338\nWITH OWN CHILDREN UNDER 6.\n68\n110\n48\n7\n26\n74\n56\nMALE, EMPLOYED\n1 055\n1 530\n632\n98\n626\n386\n1 187\nPROFESS'L TECHN'L. & KINDRED WORKERS\n112\n112\n186\n4\n36\n8\n89\nYGRS.. OFFS., & PROPR'S INCL. FARM.\n220\n513\n157\n12\n136\n61\n271\nCLERICAL AND KINORED WORKERS\n65\n96\n57\n...\n32\n3\n61\nSALES WORKERS.\n50\n46\n57\n...\n9\n8\n76\nCRAFTSMEN, FOREMEN. & KINDRED WORKERS.\n207\n275\n70\n23\n68\n95\n252\nOPERATIVES AND KINDRED WORKERS\n139\n147\n35\n15\n51\n69\n203\nPRIVATE HOUSEHOLD WORKERS.\n2\n...\n...\n...\n...\n...\n...\nSERVICE WKRS. EXC. PRIV. HOUSEHOLD.\n39\n59\n9\n8\n87\n43\n53\nLABORERS, EXCEPT MINE.\n162\n206\n37\n19\n178\n52\n137\nOCCUPATION NOT REPORTED\n59\n76\n24\n17\n29\n47\n45\nFEMALE. EMPLOYED\n372\n534\n305\n21\n239\n249\n459\nPROFESS'L TECHN'L. & KINDRED WORKERS.\n46\n92\n76\n4\n25\n24\n44\nMGRS.. OFFS., & PROPR'S INCL. FARM.\n42\n30\n40\n3\n7\n...\n8\nCLERICAL AND KINDRED WORKERS\n110\n180\n98\n4\n59\n90\n187\nSALES WORKERS\n32\n34\n8\n...\n24\n15\n67\nCRAFTSMEN. FOREMEN. & KINORED WORKERS.\n6\n22\n4\n...\n...\n...\n3\nOPERATIVES AND KINDRED WORKERS\n17\n11\n12\n...\n22\n18\n28\nPRIVATE HOUSEHOLD WORKERS.\n15\n20\n19\n2\n31\n17\n26\nSERVICE WKRS.. EXC. PRIV. HOUSEHOLD.\n68\n86\n20\n6\n52\n65\n63\nLABORERS, EXCEPT MINE.\n20\n22\n4\n...\n8\n...\n4\nOCCUPATION NOT REPORTED\n16\n37\n24\n2\n11\n20\n29\nTOTAL EMPLOYED\n1 427\n2 064\n937\n119\n865\n635\n1 646\nPRIVATE WAGE AND SALARY WORKERS.\n776\n1 055\n429\n67\n471\n396\n1 047\nGOVERNMENT WORKERS\n305\n462\n262\n29\n236\n159\n283\nSELF-EMPLOYED WORKERS\n295\n486\n234\n23\n145\n77\n300\nUNPAID FAMILY WORKERS\n51\n61\n12\n...\n13\n3\n16\nTOTAL EMPLOYED\n1 427\n2 064\n937\n119\n865\n635\n1 646\nMINING\n29\n41\n5\n...\n...\n5\n4\nCONSTRUCTION\n259\n233\n123\n16\n106\n121\n208\nMANUFACTURING.\n128\n133\n61\n4\n23\n16\n166\nFURNITURE & LUMBER & WOOD PRODUCTS\n37\n12\n4\n4\n9\n41\nMETAL INDUSTRIES\n...\n4\n...\n...\n12\nMACHINERY.\n4\n4\n8\n...\n...\n20\nTRANSPORTATION EQUIPMENT\n...\n...\n...\n...\n...\nOTHER DURABLE GOODS.\n27\n25\n8\n7\n...\n20\nFOOD AND KINDRED PRODUCTS\n12\n26\n8\n4\n4\n40\nTEXTILE AND APPAREL PRODUCTS\n...\n...\n4\n...\n...\n...\nPRINT.. PUBLISH'G, & ALLIED INDUS.\n41\n42\n24\n4\n4\n3\n33\nOTHER NONDUR. (INCL. NOT SPEC. MFG)\n7\n20\n5\n4\n...\n...\nRAILROAD AND RAILWAY EXPRESS SERVICE\n10\n4\n...\n4\n...\n8\nOTHER TRANSPORTATION\n39\n22\n8\n3\n8\n8\n26\nCOMMUN., UTIL.. & SANITARY SERV.\n19\n50\n27\n3\n10\n28\n34\nWHOLESALE TRADE.\n31\n62\n33\n4\n37\n4\n88\nEATING AND DRINKING PLACES\n55\n52\n20\n...\n34\n17\n49\nOTHER RETAIL TRADE\n151\n181\n104\n12\n63\n66\n226\nBUSINESS AND REPAIR SERVICES\n31\n52\n18\n...\n...\n27\n36\nPRIVATE HOUSEHOLDS\n25\n31\n31\n2\n34\n17\n39\nOTHER PERSONAL SERVICES\n42\n42\n20\n...\n33\n9\n81\nHOSPITALS.\n...\n36\n8\n9\n6\n15\n24\nEDUCATIONAL SERVICES\n97\n198\n177\n9\n137\n28\n141\nOTHER PROFESSIONAL AND RELATED SERV\n48\n58\n76\n7\n36\n48\n44\nPUBLIC ADMINISTRATION.\n117\n159\n89\n8\n47\n85\n86\nOTHER INDUSTRIES (INCL. NOT REPORTED)\n346\n710\n137\n42\n287\n141\n386\nMEANS OF TRANSPORT. & PLACE OF WORK\nALL WORKERS (INCL. ARMED FORCES)\n1 436\n2 056\n946\n119\n842\n2 034\n1 640\nPRIVATE AUTOMOBILE OR CAR POOL\n1 053\n1 384\n726\n88\n604\n1 165\n1 201\nRAILROAD\n...\n...\n...\n...\n...\nSUBWAY OR ELEVATED\n...\n...\n...\n...\n...\n...\n...\nBUS OR STREETCAR\n4\n6\n8\n...\n5\n26\n4\nWALKED TO WORK\n58\n39\n29\n4\n64\n630\n66\nOTHER MEANS.\n49\n69\n38\n...\n22\n81\n71\nWORKED AT HOME\n216\n478\n97\n8\n137\n18\n219\nNOT REPORTED\n56\n80\n48\n19\n10\n114\n79\nINSIDE SMSA.\n1 303\n1 876\n859\n100\n803\n1 921\n1 525\nAUSTIN CITY.\n709\n1 138\n586\n84\n370\n371\n1 015\nREMAINDER OF TRAVIS COUNTY\n594\n738\n273\n16\n433\n1 550\n510\nOUTSIDE SMSA\n72\n97\n34\n...\n33\n40\n40\nPLACE OF WORK NOT REPORTED\n61\n83\n53\n19\n6\n73\n75\nReproduced at the National Archives\n64\nCensus Tracts\n29\nTable P-3.-LABOR FORCE CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1960-Con.\n(Based on 25-percent sample. Percent not shown where base is less than 200]\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nEMPLOYMENT STATUS. OCC., & INDUSTRY\nMALE, 14 YEARS OLD AND OVER.\n2 235\n4 162\n5 171\n1 789\n3 453\n1 242\n1 656\n4 102\n2 422\n2 961\n2 170\nLABOR FORCE.\n1 833\n3 310\n4 528\n1 397\n2 854\n1 052\n1 459\n3 552\n883\n2 631\n1 521\nPERCENT OF TOTAL\n82.0\n79.5\n87.6\n78.1\n82.7\n84.7\n88.1\n86.6\n36.5\n88.9\n70.1\nCIVILIAN LABOR FORCE\n1 817\n3 202\n4 444\n1 359\n2 785\n1 023\n1 309\n3 265\n861\n1 138\n1 471\nEMPLOYED\n1 786\n3 116\n4 386\n1 307\n2 712\n1 011\n1 258\n3 217\n847\n1 024\n1 436\nUNEMPLOYED\n31\n86\n58\n52\n73\n12\n51\n48\n14\n114\n35\nPERCENT OF CIV. LABOR FORCE.\n1.7\n2.7\n1.3\n3.8\n2.6\n1.2\n3.9\n1.5\n1.6\n10.0\n2.4\nNOT IN LABOR FORCE\n402\n852\n643\n392\n599\n190\n197\n550\n1 539\n330\n649\nFEMALE. 14 YEARS OLD AND OVER.\n2 456\n4 951\n5 480\n1 776\n3 349\n1 255\n1 688\n4 320\n1 206\n2 217\n1 768\nLABOR\nFORCE\n929\n2 213\n2 307\n472\n1 229\n471\n681\n1 714\n339\n541\n598\nPERCENT OF TOTAL\n37.8\n44.7\n42.1\n26.6\n36.7\n37.5\n40.3\n39.7\n28.1\n24.4\n33.8\nEMPLOYED\n916\n2 164\n2 256\n453\n1 201\n468\n661\n1 673\n339\n480\n586\nUNEMPLOYED\n13\n49\n51\n14\n28\n3\n16\n41\n...\n45\n12\nPERCENT OF CIV. LABOR FORCE.\n1.4\n2.2\n2.2\n3.0\n2.3\n0.6\n2.4\n2.4\n...\n8.6\n2.0\nNOT IN LABOR FORCE\n1 527\n2 738\n3 173\n1 304\n2 120\n784\n1 007\n2 606\n867\n1 676\n1 170\nMARRIED WOMEN IN L.F., HUSBAND PRES\n609\n1 296\n1 784\n383\n1 001\n356\n554\n1 277\n227\n352\n395\nWITH OWN CHILDREN UNDER 6\n140\n307\n513\n80\n291\n68\n211\n408\n52\n125\n82\nMALE, EMPLOYED\n1 786\n3 116\n4 386\n1 307\n2 712\n1 011\n1 258\n3 217\n847\n1 024\n1 436\nPROFESS'L TECHN'L & KINDRED WORKERS\n517\n451\n706\n183\n276\n332\n114\n580\n46\n8\n152\nMGRS., OFFS. & PROPR'S, INCL. FARM.\n537\n456\n713\n256\n642\n251\n179\n423\n161\n105\n302\nCLERICAL AND KINDRED WORKERS\n159\n436\n449\n106\n197\n85\n123\n289\n39\n30\n85\nSALES WORKERS.\n243\n291\n423\n82\n138\n112\n97\n295\n33\n8\n112\nCRAFTSMEN, FOREMEN, & KINDRED WORKERS\n105\n734\n1 120\n251\n593\n109\n374\n551\n129\n225\n284\nOPERATIVES AND KINDRED WORKERS\n71\n275\n409\n159\n287\n44\n187\n389\n84\n287\n218\nPRIVATE HOUSEHOLD WORKERS.\n...\n8\n...\n2\n...\n...\n...\n4\n...\n...\n...\nSERVICE WKRS., EXC. PRIV. HOUSEHOLD\n56\n205\n319\n39\n176\n12\n82\n314\n100\n105\n61\nLABORERS, EXCEPT MINE.\n54\n113\n113\n162\n308\n37\n34\n230\n213\n183\n145\nOCCUPATION NOT REPORTED\n44\n147\n134\n67\n95\n29\n68\n142\n42\n73\n77\nFEMALE, EMPLOYED\n916\n2 164\n2 256\n453\n1 201\n468\n661\n1 673\n339\n480\n586\nPROFESS'L TECHN'L. & KINORED WORKERS.\n265\n259\n308\n66\n133\n134\n66\n254\n25\n61\n56\nMGRS., OFFS., & PROPR'S, INCL. FARM.\n91\n98\n115\n42\n38\n47\n25\n44\n14\n4\n19\nCLERICAL AND KINDRED WORKERS\n393\n962\n1 144\n160\n493\n174\n345\n589\n104\n106\n240\nSALES WORKERS.\n34\n197\n155\n39\n53\n21\n32\n108\n45\n19\n89\nCRAFTSMEN, FOREMEN, & KINDRED WORKERS.\n13\n24\n28\n6\n34\n8\n4\n25\n3\n5\n3\nOPERATIVES AND KINDRED WORKERS\n12\n109\n57\n17\n39\n12\n20\n56\n32\n88\n28\nPRIVATE HOUSEHOLD WORKERS\n8\n84\n50\n15\n142\n19\n21\n209\n35\n38\n30\nSERVICE WKRS. EXC. PRIV. HOUSEHOLD.\n84\n307\n335\n68\n176\n25\n122\n276\n59\n110\n60\nLABORERS, EXCEPT MINE.\n...\n...\n...\n20\n26\n4\n3\n10\n8\n12\n4\nOCCUPATION NOT REPORTED.\n16\n124\n64\n20\n67\n24\n23\n102\n14\n37\n37\nTOTAL EMPLOYED\n2 702\n5 280\n6 642\n1 760\n3 913\n1 479\n1 919\n4 890\n1 186\n1 504\n2 022\nPRIVATE WAGE AND SALARY WORKERS\n1 175\n2 789\n3 774\n985\n2 200\n705\n1 244\n3 019\n700\n1 074\n1 327\nGOVERNMENT WORKERS\n1 013\n1 617\n2 254\n377\n1 039\n439\n516\n1 536\n289\n283\n324\nSELF-EMPLOYED WORKERS.\n454\n621\n567\n343\n599\n323\n152\n315\n180\n136\n351\nUNPAID FAMILY WORKERS.\n60\n53\n47\n55\n75\n12\n7\n20\n17\n11\n20\nTOTAL EMPLOYED\n2 702\n5 280\n6 642\n1 760\n3 913\n1 479\n1 919\n4 890\n1 186\n1 504\n2 022\nMINING\n4\n31\n33\n29\n55\n9\n...\n23\n...\n13\n4\nCONSTRUCTION\n222\n480\n808\n307\n526\n169\n234\n439\n168\n248\n229\nMANUFACTURING.\n158\n419\n656\n156\n276\n108\n177\n393\n49\n157\n187\nFURNITURE & LUMBER & WOOD PRODUCTS\n4\n40\n22\n37\n23\n12\n18\n40\n4\n61\n41\nMETAL INDUSTRIES\n9\n20\n24\n...\n12\n8\n23\n14\n...\n5\n12\nMACHINERY.\n8\n45\n78\n8\n16\n11\n12\n17\n3\n4\n25\nTRANSPORTATION EQUIPMENT\n5\n16\n26\n...\n4\n...\n...\n23\n3\n8\n4\nOTHER DURABLE GOODS\n25\n36\n46\n27\n29\n8\n21\n46\n7\n12\n24\nFOOD AND KINDRED PRODUCTS\n25\n60\n150\n28\n35\n31\n34\n101\n17\n47\n44\nTEXTILE AND APPAREL PRODUCTS\n...\n12\n9\n4\n...\n9\n...\n9\n...\n4\n...\nPRINT.. PUBLISH'G & ALLIED INDUS.\n71\n170\n232\n45\n108\n24\n61\n116\n11\n12\n37\nOTHER NONDUR. (INCL. NOT SPEC. MFG)\n11\n20\n69\n7\n49\n5\n8\n27\n4\n4\n...\nRAILROAD AND RAILWAY EXPRESS SERVICE\n4\n29\n20\n10\n4\n8\n9\n24\n4\n...\n8\nOTHER TRANSPORTATION\n21\n52\n124\n43\n53\n13\n34\n75\n19\n16\n34\nCOMMUN., UTIL., & SANITARY SERV.\n71\n164\n299\n36\n112\n53\n117\n200\n18\n45\n47\nWHOLESALE TRADE.\n95\n141\n215\n46\n123\n50\n103\n181\n50\n20\n113\nEATING AND DRINKING PLACES\n31\n87\n134\n55\n81\n32\n99\n120\n38\n57\n73\nOTHER RETAIL TRADE\n354\n888\n890\n182\n415\n184\n264\n648\n124\n193\n296\nBUSINESS AND REPAIR SERVICES\n72\n168\n216\n44\n90\n26\n65\n106\n35\n61\n46\nPRIVATE HOUSEHOLDS\n17\n117\n73\n25\n178\n31\n21\n250\n38\n43\n43\nOTHER PERSONAL SERVICES\n57\n208\n252\n42\n120\n20\n66\n185\n54\n70\n93\nHOSPITALS.\n39\n289\n161\n...\n88\n23\n29\n173\n13\n27\n36\nEDUCATIONAL SERVICES\n479\n597\n671\n127\n375\n256\n90\n575\n155\n65\n205\nOTHER PROFESSIONAL AND RELATED SERV.\n365\n323\n473\n89\n120\n133\n114\n307\n44\n71\n65\nPUBLIC ADMINISTRATION.\n358\n727\n974\n161\n395\n160\n280\n546\n61\n144\n99\nOTHER INDUSTRIES (INCL. NOT REPORTED)\n355\n560\n643\n408\n902\n204\n217\n645\n316\n274\n444\nMEANS OF TRANSPORT. & PLACE OF WORK\nALL WORKERS (INCL. ARMED FORCES)\n2 690\n5 305\n6 685\n1 777\n3 912\n1 496\n2 050\n5 087\n1 181\n2 937\n2 011\nPRIVATE AUTOMOBILE OR CAR POOL\n2 324\n4 215\n5 838\n1 368\n2 996\n1 238\n1 811\n4 383\n880\n1 828\n1 451\nRAILROAD\n...\n...\n...\n...\n4\n...\n4\n...\n...\n...\nSUBWAY OR ELEVATED\n...\n...\n...\n...\n...\n...\n...\n...\n...\n...\nBUS OR STREETCAR\n33\n343\n94\n10\n45\n13\n18\n218\n22\n111\n19\nWALKED TO WORK\n115\n197\n105\n58\n74\n29\n9\n89\n68\n698\n108\nOTHER MEANS\n57\n172\n323\n57\n164\n53\n88\n154\n35\n126\n74\nWORKED AT HOME\n95\n195\n131\n216\n501\n106\n58\n72\n155\n22\n244\nNOT REPORTED\n66\n183\n194\n68\n132\n53\n66\n167\n21\n152\n115\nINSIDE SMSA.\n2 554\n4 991\n6 260\n1 616\n3 600\n1 374\n1 934\n4 780\n1 135\n2 770\n1 836\nAUSTIN CITY.\n2 469\n4 760\n6 026\n1 010\n2 772\n1 070\n1 737\n4 512\n674\n1 083\n1 313\nREMAINDER OF TRAVIS COUNTY\n85\n231\n234\n606\n828\n304\n197\n268\n461\n1 687\n523\nOUTSIDE SMSA\n85\n106\n215\n72\n185\n59\n45\n139\n33\n52\n68\nPLACE OF WORK NOT REPORTED\n51\n208\n210\n89\n127\n63\n71\n168\n13\n115\n107\nReproduced at the National Archives\n65\n0\nCensus Tracts\nTable P-4-CHARACTERISTICS OF THE NONWHITE POPULATION, FOR CENSUS TRACTS WITH 400 OR MORE\nSUCH PERSONS: 1960\n[Asterisk (*) denotes statistics based on 25-percent sample. Population per household not shown where less than 50 persons in households. Median and percent not shown where\nbase is less than 200]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0002\n0004\n0008\n0009\n0012\n0013\nHOUSEHOLD RELATIONSHIP\nNONWHITE POPULATION\n27 224\n24 739\n2 485\n875\n1 524\n13 266\n2 938\n425\n451\nOPULATION IN HOUSEHOLDS\n24 821\n22 589\n2 232\n19\n1 483\n12 984\n2 480\n419\n451\nHEAD OF HOUSEHOLD.\n6 997\n6 458\n539\n5\n440\n3 737\n766\n120\n126\nHEAD OF PRIMARY FAMILY\n5 569\n5 118\n451\n4\n346\n3 030\n535\n101\n108\nPRIMARY INDIVIDUAL\n1 428\n1 340\n88\n1\n94\n707\n231\n19\n18\nWIFE OF HEAD\n3 944\n3 561\n383\n6\n238\n1 995\n342\n79\n86\nCHILD UNDER 18 OF HEAD\n8 289\n7 510\n779\n2\n477\n4 369\n641\n125\n106\nOTHER RELATIVE OF HEAD\n4 852\n4 362\n490\n4\n283\n2 496\n597\n89\n129\nNONRELATIVE OF HEAD.\n739\n698\n41\n2\n45\n387\n134\n6\n4\nOPULATION IN GROUP QUARTERS\n2 403\n2 150\n253\n856\n41\n282\n458\n6\n...\nINMATE OF INSTITUTION.\n1 507\n1 280\n227\n856\n1\n46\n12\n...\n...\nOTHER.\n896\n870\n26\n40\n236\n446\n6\n...\nOPULATION PER HOUSEHOLD\n3.55\n3.50\n4.14\n...\n3.37\n3.47\n3.24\n3.49\n3.58\nARRIED COUPLES*\n4 153\n3 740\n413\n4\n241\n2 155\n363\n88\n91\nWITH OWN HOUSEHOLD\n3 900\n3 533\n367\n4\n232\n2 038\n337\n80\n81\nWITH OWN CHILDREN UNDER 6.\n1 342\n1 216\n126\n77\n698\n102\n21\n15\nWITH OWN CHILDREN UNDER 18\n2 196\n1 968\n228\n132\n1 132\n162\n52\n31\nWITH HUSBAND UNDER 45 YEARS\n2 193\n2 037\n156\n4\n140\n1 164\n169\n30\n28\nWITH OWN CHILDREN UNDER 18\n1 588\n1 456\n132\n...\n99\n842\n104\n25\n25\nNRELATED INDIVIDUALS*\n2 738\n2 536\n202\n8\n153\n1 112\n687\n10\n20\n'ERSONS UNDER 18 YEARS OLD*\n10 566\n9 623\n943\n16\n565\n5 372\n908\n173\n144\nLIVING WITH BOTH PARENTS*\n6 297\n5 605\n692\n...\n340\n3 095\n439\n107\n107\n*YEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER\n13 719\n12 521\n1 198\n848\n811\n6 750\n1 477\n227\n263\n10 SCHOOL YEARS COMPLETED.\n591\n450\n141\n86\n7\n187\n84\n...\n11\nELEMENTARY: 1 TO 4 YEARS\n1 875\n1 641\n234\n219\n72\n755\n211\n53\n32\n5 TO 7 YEARS\n3 306\n2 950\n356\n226\n162\n1 596\n305\n54\n82\n8 YEARS\n1 882\n1 711\n171\n139\n107\n889\n202\n49\n33\nHIGH SCHOOL: 1 TO 3 YEARS\n2 762\n2 627\n135\n87\n193\n1 525\n282\n34\n64\n4 YEARS\n1 511\n1 418\n93\n60\n103\n782\n207\n29\n22\nCOLLEGE\n1 TO 3 YEARS\n852\n807\n45\n19\n81\n474\n100\n4\n15\n4 YEARS OR MORE\n940\n917\n23\n12\n86\n542\n86\n4\n4\nIEDIAN SCHOOL YEARS COMPLETED\n8.6\n8.7\n6.9\n6.6\n9.9\n8.9\n8.7\n8.1\n8.2\n*RESIDENCE IN 1955\nPERSONS 5 YRS. OLD & OVER, 1960.\n23 842\n21 686\n2 156\n891\n1 317\n11 503\n2 617\n386\n408\nAME HOUSE AS IN 1960.\n11 998\n10 780\n1 218\n496\n545\n6 131\n1 102\n194\n243\nIFFERENT HOUSE IN U.S.\n10 621\n9 769\n852\n370\n749\n4 916\n1 141\n163\n155\n6 903\n6 767\n136\n43\n550\n3 863\n709\n115\n129\nCENTRAL CITY OF THIS SMSA\nOTHER PART OF THIS SMSA.\n815\n458\n357\n5\n62\n225\n19\n...\n...\n2 903\n2 544\n359\n322\n137\n828\n413\n48\n26\nOUTSIDE THIS SMSA.\nBROAD\n157\n131\n26\n...\n4\n16\n10\n...\n10\nOVED, RESIDENCE IN 1955 NOT REPORTED.\n1 066\n1 006\n60\n25\n19\n440\n364\n29\n...\n*FAMILY INCOME IN 1959\n5 520\n5 088\n432\n4\n342\n3 071\n512\n113\n101\nALL FAMILIES\n379\n76\n14\n10\nINDER $1,000\n695\n621\n74\n40\n1,000 TO $1,999\n1 143\n1 010\n133\n61\n670\n76\n33\n18\n2,000 TO $2,999\n1 276\n1 189\n87\n...\n70\n727\n127\n35\n28\n3,000 TO $3,999\n1 005\n944\n61\n4\n65\n516\n125\n18\n24\n4,000 TO $4,999\n606\n569\n37\n46\n311\n49\n5\n11\n5,000 TO $5,999\n308\n290\n18\n12\n164\n30\n4\n3\n6,000 TO $6,999\n161\n148\n13\n21\n95\n4\n...\n...\n7,000 TO $7,999\n85\n85\n18\n51\n11\n...\n8,000 TO $8,999\n42\n39\n3\n...\n20\n7\n...\n...\n9,000 TO $9,999\n97\n97\n...\n9\n53\n7\n...\n4\n.10,000 AND OVER\n102\n96\n6\n...\n85\n...\n4\n3\nEDIAN INCOME: FAMILIES\n$2 723\n$2 768\n$2 103\n$3 000\n$2 669\n$2 819\nFAM. & UNREL. INDIV.\n$2 028\n$2 063\n$1 762\n$2 244\n$2 178\n$ 967\n...\n...\n*EMPLOYMENT STATUS AND OCCUPATION\nMALE. 14 YEARS OLD AND OVER.\n8 530\n7 541\n989\n439\n482\n3 829\n890\n122\n141\nABOR\nFORCE.\n5 865\n5 210\n655\n375\n2 945\n610\n87\n95\nPERCENT OF TOTAL\n68.8\n69.1\n66.2\n77.8\n76.9\n68.5\n...\n...\nCIVILIAN LABOR FORCE\n5 610\n5 090\n520\n...\n365\n2 866\n602\n87\n95\nEMPLOYED\n5 246\n4 768\n478\n...\n339\n2 703\n549\n79\n91\nUNEMPLOYED\n364\n322\n42\n26\n163\n53\nB\n4\nPERCENT OF CIV. LABOR FORCE\n6.5\n6.3\n8.1\n...\n7.1\n5.7\n8.8\n...\n...\noT IN LABOR FORCE\n2 665\n2 331\n334\n439\n107\n884\n280\n35\n46\nFEMALE. 14 YEARS OLD AND OVER.\n9 891\n9 152\n739\n444\n573\n4 956\n1 251\n158\n185\nABOR FORCE.\n4 858\n4 676\n182\n7\n361\n2 725\n570\n93\n83\nPERCENT OF TOTAL\n49.1\n51.1\n24.6\n1.6\n63.0\n55.0\n45.6\n...\n...\nARRIED WOMEN IN L.F., HUSBAND PRES.\n2 253\n2 161\n92\n3\n170\n1 201\n214\n58\n41\nWITH OWN CHILDREN UNDER 6.\n600\n571\n29\n38\n295\n52\n16\n7\nMALE, EMPLOYED\n5 246\n4 768\n478\n...\n339\n2 703\n549\n79\n91\nROFESS'L. TECHN'L. & KINDRED WORKERS\n243\n239\n4\n8\n112\n20\n4\n...\n'GRS.' OFF'S.. & PROPR'S, INCL. FARM\n178\n121\n57\n...\n17\n59\n14\n...\n...\n143\n143\n16\n89\n8\n...\n3\nLERICAL AND KINDRED WORKERS\n...\nALES WORKERS.\n73\n73\n...\n...\n49\n12\n...\n...\nRAFTSMEN. FOREMEN, & KINDRED WORKERS,\n419\n381\n38\n40\n207\n25\n5\n11\nPERATIVES AND KINDRED WORKERS\n881\n826\n55\n66\n443\n100\n4\n19\nRIVATE HOUSEHOLD WORKERS.\n51\n49\n2\n4\n29\n4\n4\n...\nERVICE WKRS., EXC. PRIV. HOUSEHOLD.\n1 616\n1 564\n52\n107\n917\n197\n45\n29\n1 088\n859\n229\n59\n484\n98\n9\n20\nABORERS, EXCEPT MINE.\nCCUPATION NOT REPORTED\n554\n513\n41\n22\n314\n71\n8\n9\nFEMALE, EMPLOYED\n4 633\n4 460\n173\n7\n337\n2 639\n535\n77\n77\nROFESS'L TECHN'L. & KINDRED WORKERS\n371\n350\n21\n43\n227\n16\n4\n4\nGRS. OFF'S.. & PROPR'S, INCL. FARM\n50\n44\n6\n4\n20\n7\n...\nLERICAL AND KINDRED WORKERS\n115\n115\n3\n4\n59\n21\n...\n...\nALES WORKERS\n38\n38\n...\n4\n29\n...\n...\n4\nPAFTSMEN, FOREMEN. & KINDRED WORKERS\n20\n20\n4\n8\n4\n...\nPERATIVES AND KINDRED WORKERS\n180\n171\n9\n13\n100\n11\n...\n6\n66\nRIVATE HOUSEHOLD WORKERSI. at the National Archives 14:6\n2 079\n67\n4\n175\n1 274\n226\n44\n40\nERVICE WKRS., EXC. PRIV. HOUSEHOLD.\n233\n1 193\n40\n72\n656\n171\n16\n19\nABORERS, EXCEPT MINE.\n20\n17\n3\n...\n8\n...\n...\n4\nCCUPATION NOT REPORTED.\n460\n433\n27\n18\n258\n79\n13\nCensus Tracts\n31\nTable P-4.-CHARACTERISTICS OF THE NONWHITE POPULATION, FOR CENSUS TRACTS WITH 400 OR MORE\nSUCH PERSONS: 1960-Con.\n[Asterisk (°) denotes statistics based on 25-percent sample. Population per household not shown where less than 50 persons in households. Median and percent not shown where\nbase is less than 200]\nAUSTIN--CON.\nBALANCE OF TRAVIS COUNTY\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0018\n0021\n0023\n0018\n0022\n0023\n0018\n0021\n0022\n0023\nHOUSEHOLD RELATIONSHIP\nNONWHITE POPULATION\n1 219\n2 607\n438\n454\n888\n558\n1 673\n2 678\n888\n996\nPOPULATION IN HOUSEHOLDS\n1 219\n2 569\n438\n454\n742\n451\n1 673\n2 640\n742\n889\nHEAD OF HOUSEHOLD.\n285\n642\n106\n106\n193\n102\n391\n664\n193\n208\nHEAD OF PRIMARY FAMILY\n247\n569\n79\n91\n154\n86\n338\n585\n154\n165\nPRIMARY INDIVIDUAL\n38\n73\n27\n15\n39\n16\n53\n79\n39\n43\nWIFE OF HEAD\n198\n475\n63\n78\n115\n84\n276\n489\n115\n147\nCHILD UNDER 18 OF HEAD\n513\n1 022\n171\n181\n200\n174\n694\n1 045\n200\n345\nOTHER RELATIVE OF HEAD\n216\n402\n95\n83\n211\n91\n299\n411\n211\n186\nNONRELATIVE OF HEAD.\n7\n28\n3\n6\n23\n...\n13\n31\n23\n3\nPOPULATION IN GROUP QUARTERS\n...\n38\n...\n...\n146\n107\n...\n38\n146\n107\nINMATE OF INSTITUTION.\n4\n...\n...\n120\n107\n...\n4\n120\n107\nOTHER.\n...\n34\n...\n...\n26\n...\n...\n34\n26\n...\nPOPULATION PER HOUSEHOLD\n4.28\n4.00\n4.13\n4.28\n3.84\n4.42\n4.28\n3.98\n3.84\n4.27\nMARRIED COUPLES*\n183\n508\n62\n88\n125\n79\n271\n520\n125\n141\nWITH OWN HOUSEHOLD\n179\n479\n58\n79\n104\n63\n258\n491\n104\n121\nWITH OWN CHILDREN UNDER 6.\n80\n184\n30\n28\n37\n38\n108\n187\n37\n68\nWITH OWN CHILDREN UNDER 18\n101\n296\n46\n64\n62\n57\n165\n302\n62\n103\nWITH HUSBAND UNDER 45 YEARS\n81\n367\n36\n42\n44\n38\n123\n373\n44\n74\nWITH OWN CHILDREN UNDER 18\n77\n237\n36\n36\n35\n38\n113\n240\n35\n74\nUNRELATED INDIVIDUALS*\n31\n142\n29\n4\n26\n158\n35\n145\n26\n187\nPERSONS UNDER 18 YEARS OLD*\n648\n1 184\n210\n206\n319\n180\n854\n1 219\n319\n390\nLIVING WITH BOTH PARENTS*\n429\n852\n161\n162\n217\n146\n591\n883\n217\n307\n*YEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER.\n469\n1 157\n168\n193\n490\n218\n662\n1 191\n490\n386\nNO SCHOOL YEARS COMPLETED\n17\n32\n4\n3\n89\n34\n20\n37\n89\n38\nELEMENTARY: 1 TO 4 YEARS\n135\n100\n37\n54\n79\n44\n189\n103\n79\n81\n5 TO 7 YEARS\n136\n240\n84\n83\n137\n59\n219\n245\n137\n143\n8 YEARS\n75\n133\n22\n22\n73\n34\n97\n133\n73\n56\nHIGH SCHOOL: 1 TO 3 YEARS\n74\n310\n21\n21\n52\n29\n95\n319\n52\n50\n4 YEARS\n28\n169\n...\n7\n44\n6\n35\n175\n44\n6\nCOLLEGE:\n1 TO 3 YEARS\n4\n70\n...\n...\n9\n12\n4\n73\n9\n12\n4 YEARS OR MORE\n...\n103\n...\n3\n7\n...\n3\n106\n7\n...\nMEDIAN SCHOOL YEARS COMPLETED\n6.8\n9.7\n...\n...\n6.7\n6.6\n6.7\n9.7\n6.7\n6.6\n*RESIDENCE IN 1955\nPERSONS 5 YRS, OLD & OVER. 1960.\n1 009\n2 237\n376\n399\n795\n457\n1 408\n2 299\n795\n833\nSAME HOUSE AS IN 1960.\n627\n917\n247\n214\n494\n184\n841\n956\n494\n431\nDIFFERENT HOUSE IN U.S\n373\n1 271\n126\n172\n298\n222\n545\n1 294\n298\n348\nCENTRAL CITY OF THIS SMSA\n208\n965\n52\n16\n64\n26\n224\n988\n64\n78\nOTHER PART OF THIS SMSA\n53\n71\n18\n110\n93\n36\n163\n71\n93\n54\nOUTSIDE THIS SMSA.\n112\n235\n56\n46\n141\n160\n158\n235\n141\n216\nABROAD\n4\n3\n...\n26\n...\n4\n...\n29\nMOVED, RESIDENCE IN 1955 NOT REPORTED.\n9\n45\n...\n13\n3\n25\n22\n45\n3\n25\n*FAMILY INCOME IN 1959\nALL FAMILIES\n247\n566\n69\n85\n140\n77\n332\n581\n140\n146\nUNDER $1,000\n56\n24\n9\n15\n32\n9\n71\n27\n32\n18\n$1,000 TO $1,999\n79\n53\n12\n26\n45\n23\n105\n53\n45\n35\n$2,000 TO $2,999\n49\n112\n26\n22\n16\n19\n71\n118\n16\n45\n$3,000 TO $3,999\n36\n145\n7\n3\n27\n8\n39\n148\n27\n15\n$4,000 TO $4,999\n27\n112\n4\n3\n17\n4\n30\n115\n17\n8\n$5,000 TO $5,999\n58\n7\n7\n...\n4\n7\n58\n...\n11\n$6,000 TO $6,999\n20\n4\n3\n10\n3\n20\n...\n14\n$7,000 TO $7,999\n5\n...\n...\n...\n...\n...\n5\n...\n$8,000 TO $8,999\n...\n12\n3\n3\n12\n...\n...\n$9,000 TO $9,999\n21\n...\n...\n...\n...\n21\n...\n...\n$10,000 AND OVER\n4\n...\n3\n3\n...\n3\n4\n3\nMEDIAN INCOME: FAMILIES\n...\n$1 854\n$3 648\n...\n...\n$1 905\n$3 625\n...\n...\nFAM. & UNREL. INDIV.\n$1 723\n$3 305\n$1 601\n$1 784\n$3 280\n...\n$1 696\n*EMPLOYMENT STATUS AND OCCUPATION\nMALE. 14 YEARS OLD AND OVER.\n291\n774\n127\n178\n353\n262\n469\n794\n353\n389\nLABOR FORCE\n205\n630\n111\n142\n152\n216\n347\n642\n152\n327\nPERCENT OF TOTAL\n70.4\n81.4\n...\n...\n43.1\n82.4\n74.0\n80.9\n43.1\n84.1\nCIVILIAN LABOR FORCE\n205\n611\n107\n142\n152\n81\n347\n623\n152\n188\nEMPLOYED\n185\n595\n83\n132\n138\n66\n317\n607\n138\n149\nUNEMPLOYED\n20\n16\n24\n10\n14\n15\n30\n16\n14\n39\nPERCENT OF CIV. LABOR FORCE.\n9.8\n2.6\n...\n...\n...\n...\n8.6\n2.6\nNOT IN LABOR FORCE\n...\n...\n86\n144\n16\n36\n201\n46\n122\n152\n201\n62\nFEMALE. 14 YEARS OLD AND OVER.\n365\n795\n133\n109\n289\n138\n474\n812\n289\n271\nLABOR FORCE.\n181\n479\n66\n28\n65\n21\n209\n487\n65\n87\nPERCENT OF TOTAL\n49.6\n60.3\n...\n...\n22.5\n...\n44.1\n60.0\n22.5\n32.1\nMARRIED WOMEN IN L.F., HUSBAND PRES.\n96\n330\n32\n22\n19\n13\n118\n335\n19\n45\nWITH OWN CHILDREN UNDER 6\n46\n102\n7\n3\n6\n9\n49\n105\n6\n16\nMALE, EMPLOYED\n185\n595\n83\n132\n138\n66\n317\n607\n138\n149\nPROFESS'L TECHN'L & KINDRED WORKERS\n4\n46\n...\n...\n4\n4\n46\n4\nMGRS., OFF'S.. & PROPR'S, INCL. FARM\n...\n15\n13\n...\n16\n17\n5\n31\n13\n17\n5\nCLERICAL AND KINDRED WORKERS\n20\n...\n...\n...\n...\n...\n20\n...\n...\nSALES WORKERS.\n...\n12\n...\n...\n...\n12\n...\nCRAFTSMEN. FOREMEN, & KINDRED WORKERS\n29\n53\n7\n7\n6\n5\n36\n56\n6\n12\nOPERATIVES AND KINDRED WORKERS\n30\n136\n23\n13\n10\n13\n43\n142\n10\n36\nPRIVATE HOUSEHOLD WORKERS\n...\n4\n...\n...\n...\n...\n...\n4\n...\nSERVICE WKRS., EXC. PRIV. HOUSEHOLD.\n...\n32\n177\n29\n3\n29\n20\n35\n177\n29\n49\nLABORERS, EXCEPT MINE.\n67\n83\n17\n87\n56\n14\n154\n86\n56\n31\nOCCUPATION NOT REPORTED.\n8\n51\n7\n6\n16\n9\n14\n51\n16\n16\nFEMALE. EMPLOYED\n174\n462\n41\n21\n65\n21\n195\n470\nPROFESS'L TECHN'L. & KINDRED WORKERS\n65\n62\n32\n9\n...\n32\n9\nMGRS., OFF'S., & PROPR'S, INCL. FARM\n9\n...\n3\n...\n...\n12\n3\nCLERICAL AND KINDRED WORKERS\n25\n...\n...\n...\n...\n...\n25\nSALES WORKERS.\n5\n...\n...\n...\n...\n5\n...\nCRAFTSMEN, FOREMEN, & KINDRED WORKERS\n...\n...\n...\n...\n...\n...\n...\n...\n...\nOPERATIVES AND KINDRED WORKERS\n4\n16\n...\n...\n6\n4\n16\n6\n...\nPRIVATE HOUSEHOLD WORKERS\n108\n173\n17\n9\n26\n9\n117\n175\n26\n26\nSERVICE WKRS., blational Archives\n160\n20\n3\n18\n4\n67\n52\n163\n18\n24\nLABORERS, EXCEPT MINE.\n5\n...\n3\n3\n5\nOCCUPATION NOT REPORTED.\n...\n8\n42\n4\n6\n3\n8\n14\n42\n3\n12\n32\nCensus Tracts\nTable P-5.-GENERAL CHARACTERISTICS OF THE WHITE POPULATION WITH SPANISH SURNAME, FOR CENSUS TRACTS\nWITH 400 OR MORE SUCH PERSONS: 1960\n[Based on 25-percent sample. Median and percent not shown where base is less than 200]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0002\n0007\n0008\n0009\n0010\n0011\n0012\n0013\n424\n7 929\n4 340\n909\n479\nTOTAL\n26 072\n23 872\n2 200\n470\n1 188\n2 374\nBORN IN MEXICO\n2 045\n1 835\n210\n25\n29\n81\n645\n323\n85\n71\n206\nAGE\nMALE\n13 217\n11 983\n1 234\n292\n243\n546\n3 873\n2 145\n500\n243\n1 182\nUNDER 5 YEARS.\n2 388\n2 168\n220\n55\n29\n103\n759\n389\n92\n53\n152\n5 TO 9 YEARS\n1 885\n1 750\n135\n25\n43\n73\n541\n322\n69\n26\n186\n1 796\n1 630\n166\n37\n38\n63\n590\n283\n81\n44\n10 TO 14 YEARS\n190\n15 TO 19 YEARS\n1 212\n1 115\n97\n24\n39\n60\n305\n236\n38\n24\n128\n20 TO 24 YEARS\n1 034\n945\n89\n23\n30\n52\n243\n122\n36\n21\n111\n25 TO 29 YEARS\n923\n816\n107\n19\n9\n19\n215\n134\n37\n8\n67\n30 TO 34 YEARS\n787\n685\n102\n17\n...\n23\n204\n129\n26\n16\n89\n35 TO 39 YEARS\n703\n652\n51\n16\n13\n29\n228\n88\n20\n10\n77\n40 TO 44 YEARS\n463\n406\n57\n8\n13\n25\n108\n98\n7\n12\n29\n45 TO 49 YEARS\n592\n523\n69\n13\n25\n35\n195\n90\n31\n...\n41\n50 TO 54 YEARS\n443\n376\n67\n4\n...\n24\n149\n71\n7\n4\n27\n55 TO 59 YEARS\n308\n279\n29\n21\n20\n88\n61\n12\n4\n39\n60 TO 64 YEARS\n223\n206\n17\n4\n4\n12\n84\n43\n19\n4\n8\n65 TO 69 YEARS\n158\n154\n4\n13\n...\n...\n44\n42\n14\n12\n4\n70 TO 74 YEARS\n135\n127\n8\n8\n...\n56\n16\n8\n5\n14\n75 YEARS AND OVER\n167\n151\n16\n5\n8\n64\n21\n3\n...\n20\n17.2\n17.0\n19.9\n21.1\n16.5\n17.8\n15.8\n16.7\n16.1\n14.8\n17.5\nMEDIAN AGE\nFEMALE\n12 855\n11 889\n966\n178\n181\n642\n4 056\n2 195\n409\n236\n1 192\nUNDER 5 YEARS.\n2 234\n2 080\n154\n13\n32\n100\n714\n366\n69\n31\n194\n5 TO 9 YEARS\n2 023\n1 875\n148\n18\n27\n85\n706\n343\n72\n33\n214\n10 TO 14 YEARS\n1 626\n1 504\n122\n15\n24\n120\n503\n294\n39\n42\n156\n15 TO 19 YEARS\n1 332\n1 221\n111\n4\n20\n79\n393\n229\n57\n35\n120\n38\n303\n34\n25\n89\n20 TO 24 YEARS\n988\n912\n76\n28\n4\n150\n25 TO 29 YEARS\n806\n750\n56\n20\n5\n36\n225\n116\n16\n19\n72\n30 TO 34 YEARS\n821\n750\n71\n8\n13\n15\n241\n143\n18\n3\n93\n19\n9\n35 TO 39 YEARS\n792\n728\n64\n20\n17\n44\n230\n134\n64\n40 TO 44 YEARS\n404\n384\n20\n16\n13\n36\n97\n82\n12\n4\n48\n546\n509\n37\n16\n5\n51\n189\n92\n15\n8\n41\n45 TO 49 YEARS\n50 TO 54 YEARS\n391\n351\n40\n...\n9\n12\n119\n97\n7\n11\n37\n55 TO 59 YEARS\n267\n247\n20\n8\n4\n...\n106\n68\n16\n...\n17\n60 TO 64 YEARS\n206\n189\n17\n8\n4\n6\n74\n16\n15\n...\n17\n65 TO 69 YEARS\n143\n136\n7\n4\n8\n60\n28\n8\n8\n4\n70 TO 74 YEARS\n106\n92\n14\n...\n4\n30\n18\n...\n4\n8\n75 YEARS AND OVER\n170\n161\n9\n4\n8\n66\n19\n12\n4\n18\nMEDIAN AGE\n17.0\n17.0\n17.7\n16.0\n16.3\n17.1\n17.1\n16.7\n16.3\nMARITAL STATUS\nMALE. 14 YEARS OLD AND OVER\n7 455\n6 723\n732\n179\n141\n319\n2 064\n1 209\n269\n132\n690\nSINGLE\n2 542\n2 198\n344\n82\n67\n85\n623\n376\n111\n47\n222\nMARRIED\n4 590\n4 218\n372\n80\n70\n226\n1 340\n800\n116\n78\n434\nSEPARATED\n71\n68\n3\n4\n9\n26\n8\n8\n...\n...\nWIDOWED.\n202\n186\n16\n5\n...\n4\n85\n33\n17\n...\n26\nDIVORCED\n121\n121\n...\n12\n4\n4\n36\n...\n25\n7\n8\nFEMALE, 14 YEARS OLD AND OVER\n7 301\n6 732\n569\n132\n102\n359\n2 240\n1 259\n233\n142\n664\nSINGLE\n1 976\n1 803\n173\n56\n28\n89\n556\n343\n91\n46\n173\nMARRIED\n4 584\n4 232\n352\n68\n65\n242\n1 391\n792\n100\n83\n421\n138\n134\n4\n4\n5\n12\n76\n13\n6\n5\nSEPARATED\n554\n514\n40\n4\n9\n24\n199\n87\n42\n9\n46\nWIDOWED.\n187\n183\n4\n4\n...\n4\n94\n37\nDIVORCED\n...\n4\n24\nYEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER\n9 554\n8 672\n882\n228\n138\n415\n2 872\n1 606\n322\n145\n834\nNO SCHOOL YEARS COMPLETED\n2 725\n2 330\n395\n37\n73\n84\n997\n460\n107\n23\n184\nELEMENTARY: 1 TO 4 YEARS\n2 394\n2 207\n187\n53\n26\n94\n807\n438\n83\n39\n183\n5 TO 7 YEARS\n1 984\n1 829\n155\n29\n18\n151\n527\n396\n50\n47\n169\n8 YEARS\n631\n594\n37\n35\n4\n16\n217\n113\n25\n4\n78\nHIGH SCHOOL 1 TO 3 YEARS\n665\n628\n37\n21\n...\n46\n197\n72\n25\n8\n76\n4 YEARS\n554\n502\n52\n12\n13\n20\n86\n84\n3\n12\n89\nCOLLEGE:\n1 TO 3 YEARS\n362\n358\n4\n24\n...\n...\n37\n36\n23\n4\n43\n4 YEARS OR MORE\n239\n224\n15\n17\n4\n4\n4\n7\n6\n8\n12\nMEDIAN SCHOOL YEARS COMPLETED\n4.4\n4.6\n2.0\n7.5\n...\n5.6\n3.2\n4.1\n3.6\n...\n5.9\nFAMILY INCOME IN 1959\nALL FAMILIES\n4 708\n4 339\n369\n71\n80\n209\n1 469\n790\n140\n80\n442\nUNDER $1,000\n484\n429\n55\n4\n26\n...\n200\n62\n16\n12\n23\n$1,000 TO $1,999\n656\n585\n71\n7\n19\n19\n302\n80\n32\n12\n22\n$2,000 TO $2,999\n1 029\n922\n107\n4\n30\n49\n308\n202\n9\n11\n112\n$3,000 TO $3,999\n846\n809\n37\n22\n49\n251\n167\n31\n9\n93\n$4,000 TO $4,999\n641\n606\n35\n4\n37\n174\n145\n19\n20\n72\n$5,000 TO $5,999\n414\n386\n28\n4\n5\n20\n99\n64\n19\n3\n49\n$6,000 TO $6,999\n215\n204\n11\n9\n11\n62\n20\n11\n4\n23\n$7,000 TO $7,999\n158\n145\n13\n4\n16\n23\n21\n5\n20\n$8,000 TO $8,999\n85\n81\n4\n...\n8\n9\n9\n...\n4\n12\n$9,000 TO $9,999\n60\n56\n4\n...\n...\n12\n11\n...\n$10,000 AND OVER\n120\n116\n4\n13\n29\n9\n3\n16\nMEDIAN INCOME: FAMILIES\n$3 219\n$3 289\n$2 547\n...\n$3 745\n$2 755\n$3 305\n...\n$3 688\nFAM. & UNREL. INDIV\n$2 843\n$2 895\n$2 388\n$3 704\n$2 515\n$3 180\n$3 510\nEMPLOYMENT STATUS\nMALE, 14 YEARS OLD AND OVER\n7 455\n6 723\n732\n179\n141\n319\n2 084\n1 209\n269\n132\n690\nLABOR FORCE.\n5 459\n4 991\n468\n59\n84\n264\n1 604\n966\n189\n95\n519\nPERCENT OF TOTAL\n73.2\n74.2\n63.9\n...\n...\n82.8\n77.0\n79.9\n70.3\n...\n75.2\nCIVILIAN LABOR FORCE\n5 382\n4 963\n419\n59\n84\n264\n1 600\n958\n189\n95\n515\nEMPLOYED\n5 036\n4 637\n399\n59\n80\n251\n1 479\n878\n163\n85\n484\nUNEMPLOYED\n346\n326\n20\n...\n4\n13\n121\n80\n26\n10\n31\nPERCENT OF CIV. LABOR FORCE\n6.4\n6.6\n4.8\n...\n...\n4.9\n7.6\n8.4\n...\n...\n6.0\nNOT IN LABOR FORCE\n1 996\n1 732\n264\n120\n57\n55\n480\n243\n80\n37\n171\nFEMALE. 14 YEARS OLD AND OVER.\n7 301\n6 732\n569\n132\n102\n359\n2 240\n1 259\n233\n142\n664\nLABOR FORCE.\n2 161\n2 064\n97\n28\n26\n107\n668\n430\n75\n45\n218\nPERCENT OF TOTAL\n29.6\n30.7\n17.0\n29.8\n29.8\n34.2\n32.2\n...\n32.8\n...\n...\nMARRIED WOMEN IN L.F., HUSBAND PRES\n1 098\n1 025\n73\n20\n8\n55\n266\n223\n25\n22\n134\nWITH OWN CHILDREN UNDER 6\n488\n460\n28\n12\n4\n23\n106\n102\n16\n7\n62\nReproduced at the National Archives\n68\nCensus Tracts\n33\nTable P-5.-GENERAL CHARACTERISTICS OF THE WHITE POPULATION WITH SPANISH SURNAME, FOR CENSUS TRACTS\nWITH 400 OR MORE SUCH PERSONS: 1960-Con.\n(Based on 25-percent sample. Median and percent not shown where base is less than 200]\nAUSTIN--CON.\nBALANCE OF TRAVIS\nTOTALS FOR SPLIT TRACTS\nCOUNTY\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0015\n0016\n0021\n0023\n0022\n0024\n0015\n0018\n0021\n0022\n0023\n0024\nTOTAL\n417\n439\n1 480\n1 936\n670\n576\n417\n402\n1 529\n777\n2 309\n622\nBORN IN MEXICO\n16\n4\n88\n121\n57\n64\n16\n12\n91\n61\n156\n68\nAGE\nMALE\n210\n200\n721\n950\n441\n294\n210\n199\n755\n496\n1 156\n327\nUNDER 5 YEARS.\n54\n16\n152\n203\n65\n55\n54\n44\n161\n75\n241\n60\n5 TO 9 YEARS\n25\n32\n139\n192\n34\n48\n25\n24\n144\n42\n216\n48\n10 TO 14 YEARS\n27\n48\n63\n109\n53\n39\n27\n35\n63\n65\n139\n43\n15 TO 19 YEARS\n4\n23\n64\n81\n39\n22\n4\n12\n68\n47\n97\n38\n20 TO 24 YEARS\n...\n33\n36\n66\n41\n17\n...\n4\n36\n41\n89\n25\n25 TO 29 YEARS\n13\n24\n74\n74\n42\n20\n13\n16\n78\n42\n95\n20\n30 TO 34 YEARS\n36\n4\n33\n33\n29\n12\n36\n20\n37\n35\n66\n12\n35 TO 39 YEARS\n24\n8\n38\n38\n23\n12\n24\n20\n38\n30\n42\n12\n40 TO 44 YEARS\n4\n31\n34\n21\n12\n...\n8\n31\n21\n43\n12\n45 TO 49 YEARS\n7\n44\n22\n33\n17\n7\n8\n44\n37\n22\n17\n50 TO 54 YEARS\n16\n4\n28\n28\n23\n20\n16\n4\n32\n23\n28\n20\n55 TO 59 YEARS\n...\n...\n22\n17\n4\n...\n4\n...\n17\n26\n4\n60 TO 64 YEARS\n...\n4\n12\n13\n...\n...\n...\n8\n13\n12\n...\n65 TO 69 YEARS\n4\n4\n13\n4\n...\n...\n...\n4\n4\n13\n...\n70 TO 74 YEARS\n4\n...\n4\n8\n...\n8\n4\n4\n...\n8\n8\n75 YEARS AND OVER\n7\n15\n4\n...\na\n...\n...\n...\n7\n4\n19\n8\nMEDIAN AGE\n14.8\n15.9\n15.5\n13.7\n23.6\n16.1\n14.8\n15.7\n22.3\n14.4\n16.6\nFEMALE\n207\n239\n759\n986\n229\n282\n207\n203\n774\n281\n1 153\n295\nUNDER 5 YEARS\n42\n22\n161\n256\n24\n54\n42\n50\n161\n31\n278\n54\n5 TO 9 YEARS\n37\n25\n116\n155\n36\n36\n37\n26\n116\n42\n200\n40\n10 TO 14 YEARS\n20\n39\n102\n93\n24\n40\n20\n29\n102\n37\n114\n40\n15 TO 19 YEARS\n4\n25\n77\n105\n35\n21\n4\n16\n77\n35\n121\n21\n20 TO 24 YEARS\n12\n48\n41\n56\n23\n13\n12\n27\n41\n23\n65\n13\n25 TO 29 YEARS\n21\n16\n71\n66\n16\n24\n21\n12\n71\n20\n78\n28\n30 TO 34 YEARS\n36\n16\n36\n73\n9\n19\n36\n20\n40\n24\n91\n19\n20\n16\n15\n20\n35 TO 39 YEARS\n16\n20\n60\n57\n12\n8\n64\n69\n40 TO 44 YEARS\n12\n28\n16\n8\n8\n...\n...\n28\n8\n16\n8\n45 TO 49 YEARS\n8\n...\n24\n40\n...\n20\na\n11\n24\n...\n40\n20\n16\n50 TO 54 YEARS\n3\n4\n8\n24\n16\n8\n3\n4\n8\n32\n8\n55 TO 59 YEARS\n...\n...\n8\n12\n9\n4\n...\n...\n15\n9\n12\n4\n60 TO 64 YEARS\n4\n8\n12\n21\n12\n...\n4\n...\n12\n12\n21\n...\n65 TO 69 YEARS\n4\n...\n...\n4\n...\n7\n4\n...\n...\n...\n4\n7\n70 TO 74 YEARS\n...\n11\n4\n...\n8\n...\n...\n11\n...\n4\n13\n75 YEARS AND OVER\n4\n4\n4\n5\n...\n...\n4\n9\n8\n...\nMEDIAN AGE\n20.2\n20.9\n15.0\n14.4\n19.4\n17.6\n20.2\n14.4\n15.5\n19.4\n14.3\n18.2\nMARITAL STATUS\nMALE, 14 YEARS OLD AND OVER\n112\n118\n374\n463\n297\n156\n112\n99\n394\n322\n581\n180\nSINGLE\n12\n66\n89\n112\n200\n55\n12\n19\n97\n208\n160\n79\nMARRIED\n92\n52\n281\n347\n89\n93\n92\n80\n293\n106\n417\n93\nSEPARATED\n...\n...\n...\n5\n...\n...\n...\n...\n...\n8\n...\nWIDOWED.\n4\n...\n4\n8\n8\n4\n...\n...\n8\n4\n8\nDIVORCED\n4\n...\n4\n...\n...\n...\n4\n...\n4\n...\n...\n...\nFEMALE, 14 YEARS OLD AND OVER\n108\n157\n399\n498\n148\n164\n108\n102\n413\n178\n581\n173\nSINGLE\n8\n85\n68\n122\n50\n56\n8\n24\n72\n57\n137\n60\nMARRIED.\n92\n60\n294\n361\n80\n92\n92\n78\n305\n99\n425\n92\nSEPARATED\n...\n4\n7\n4\n...\n...\n...\n4\n4\n7\n...\nWIDOWED.\n8\n12\n27\n12\n18\n12\n8\n...\n27\n22\n16\n17\nDIVORCED\n...\n9\n3\n...\n4\n...\n...\n9\n...\n3\n4\nYEARS OF SCHOOL COMPLETED\nPERSONS 25 YEARS OLD AND OVER.\n192\n128\n529\n620\n296\n231\n192\n135\n560\n339\n749\n240\nNO SCHOOL YEARS COMPLETED\n8\n36\n87\n191\n203\n91\n8\n40\n106\n207\n207\n91\nELEMENTARY: 1 TO 4 YEARS\n36\n...\n184\n194\n40\n60\n36\n31\n192\n60\n232\n60\n5 TO 7 YEARS\n67\n16\n106\n153\n37\n36\n67\n28\n110\n43\n178\n36\n8 YEARS\n8\n...\n35\n20\n8\n12\n8\n...\n35\n11\n29\n12\nHIGH SCHOOL:\n1 TO 3 YEARS\n24\n12\n32\n40\n4\n8\n24\n12\n32\n7\n53\n12\n4 YEARS\n37\n20\n37\n9\n4\n24\n37\n4\n37\n8\n33\n29\nCOLLEGE:\n1 TO 3 YEARS\n8\n20\n32\n13\n...\n...\n8\n8\n32\n3\n17\n...\n4 YEARS OR MORE\n4\n24\n16\n...\n...\n...\n4\n12\n16\n...\n...\n...\nMEDIAN SCHOOL YEARS COMPLETED\n...\n4.9\n3.5\n0.7\n2.6\n...\n...\n4.6\n0.8\n3.9\n2.9\nFAMILY INCOME IN 1959\nALL FAMILIES\n92\n56\n275\n348\n94\n105\n92\n68\n287\n111\n410\n110\nUNDER $1,000\n8\n...\n15\n47\n23\n12\n8\n12\n23\n23\n47\n12\n$1,000 TO $1,999\n4\n28\n52\n23\n12\n...\n24\n28\n27\n60\n12\n$2,000 TO $2,999\n8\n...\n43\n108\n19\n37\n8\n8\n43\n19\n133\n37\n$3,000 TO $3,999\n13\n16\n64\n66\n13\n16\n13\n...\n64\n13\n74\n21\n$4,000 TO $4,999\n23\n4\n40\n36\n12\n23\n...\n44\n3\n49\n12\n$5,000 TO $5,999\n4\n8\n28\n24\n4\n16\n4\n4\n28\n14\n28\n16\n$6,000 TO $6,999\n16\n8\n20\n4\n8\n...\n16\n4\n20\n8\n4\n...\n$7,000 TO $7,999\n12\n4\n8\n8\n...\n...\n12\n8\n8\n...\n8\n...\n$8,000 TO $8,999\n...\n12\n3\n...\n...\n8\n12\n...\n3\n...\n$9,000 TO $9,999\n4\n4\n8\n...\n4\n...\n4\n...\n8\n4\n...\n...\n$10,000 AND OVER\n4\n8\n9\n...\n...\n4\n...\n9\n...\n4\n...\nMEDIAN INCOME:\nFAMILIES\n...\n...\n$3 805\n$2 694\n...\n...\n...\n...\n$3 773\n...\n$2 737\n...\nFAM. & UNREL. INDIV.\n...\n$3 805\n$2 611\n...\n...\n$3 773\n...\n$2 594\n...\nEMPLOYMENT STATUS\nMALE. 14 YEARS OLD AND OVER\n112\n118\n374\n463\n297\n156\n112\n99\n394\n322\n581\n180\nLABOR FORCE.\n92\n40\n296\n367\n101\n123\n92\n84\n312\n118\n469\n123\nPERCENT OF TOTAL\n...\n...\n79.1\n79.3\n34.0\n...\n...\n...\n79.2\n36.6\n80.7\n...\nCIVILIAN LABOR FORCE\n88\n36\n296\n367\n101\n119\n88\n84\n312\n118\n424\n119\nEMPLOYED\n84\n36\n292\n350\n101\n115\n84\n84\n308\n118\n391\n115\nUNEMPLOYED\n4\n...\n4\n17\n...\n4\n4\n...\n4\n...\n33\n4\nPERCENT OF CIV. LABOR FORCE\n...\n1.4\n4.6\n...\n...\n...\n...\n1.3\n...\n7.8\n...\nNOT IN LABOR FORCE\n20\n78\n78\n96\n196\n33\n20\n15\n82\n204\n112\n57\nFEMALE. 14 YEARS OLD AND OVER.\n108\n157\n398\n498\n148\n164\n108\n102\n413\n178\n581\n173\n69\nLABOR FORCE\n21\n56\n116\n123\n33\n24\n21\n20\n116\n36\n131\n28\nPERCENT OF TOTAL\n...\n...\n29.1\n24.7\n...\n...\n...\n...\n28.1\n...\n22.5\n...\nMARRIED WOMEN IN L.F., HUSBAND PRES.\n17\n20\n79\n48\n21\n16\n17\n20\n79\n24\n56\n16\nWITH OWN CHILDREN UNDER\nReproduced at the National Archives 9\n4\n35\n32\n8\n8\n9\n12\n35\n11\n32\n8\n34\nCensus Tracts\nTable H-1.-OCCUPANCY AND STRUCTURAL CHARACTERISTICS OF HOUSING UNITS, BY CENSUS TRACTS: 1960\n[Some data based on sample; see text. Median not shown where base is less than 50)\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0002\n0003\n0004\n0005\n0006\n0007\n0008\n0009\n0010\nALL HOUSING UNITS\n65 439\n56 522\n8 917\n2 163\n3 234\n4 330\n3 001\n1 524\n1 933\n1 674\n4 550\n3 191\n1 673\nTENURE. COLOR, AND VACANCY\nSTATUS\nOWNER OCCUPIED\n35 688\n31\n324\n4 364\n1 640\n1 900\n2 533\n1 437\n485\n352\n269\n2 160\n1 336\n832\nWHITE\n32 012\n27 960\n4 052\n1 639\n1 897\n2 533\n1 184\n485\n348\n266\n403\n988\n830\nNONWHITE\n3 676\n3 364\n312\n1\n3\n...\n253\n...\n4\n3\n1 757\n348\n2\nRENTER OCCUPIED.\n23 368\n21 160\n2 208\n375\n1 135\n1 501\n1 334\n913\n1 404\n1 173\n2 175\n1 649\n750\n*HITE\n20 047\n18 066\n1 981\n327\n1 133\n1 499\n1 147\n909\n1 347\n1 124\n195\n1 231\n750\nNONWHITE\n3 321\n3 094\n227\n48\n2\n2\n187\n4\n57\n49\n1 980\n418\n...\nAVAILABLE VACANT\n3 150\n2 843\n307\n124\n156\n212\n174\n98\n123\n164\n104\n95\n42\nFOR SALE ONLY.\n1 031\n891\n140\n48\n36\n29\n23\n7\n11\n13\n29\n9\n5\nFOR RENT\n2 119\n1 952\n167\n76\n120\n183\n151\n91\n112\n151\n75\n86\n37\nOTHER VACANT\n3 233\n1 195\n2 038\n24\n43\n84\n56\n28\n54\n68\n111\n111\n49\nCONDITION AND PLUMBING\nSOUND\n52 625\n46\n517\n6 108\n2 120\n2 824\n3 766\n2 628\n1 411\n1 743\n1 173\n2 367\n1 731\n853\nWITH ALL PLUMBING FACILITIES\n49 948\n44 729\n5 219\n2 075\n2 802\n3 739\n2 558\n1 392\n1 642\n1 081\n2 111\n1 390\n787\nLACKING ONLY HOT WATER\n972\n680\n292\n3\n4\n8\n48\n...\n2\n3\n183\n207\n27\nLACKING OTHER PLUMBING FACILITIES\n1 705\n1 108\n597\n42\n18\n19\n22\n19\n99\n89\n73\n134\n39\nDETERIORATING\n8 359\n6 705\n1 654\n41\n371\n458\n258\n100\n168\n349\n1 381\n783\n539\nWITH ALL PLUMBING FACILITIES\n5 348\n4 651\n697\n40\n340\n430\n189\n99\n126\n293\n701\n389\n380\nLACKING ONLY HOT WATER\n1 252\n993\n259\n1\n10\n3\n47\n...\n...\n5\n420\n200\n88\nLACKING OTHER PLUMBING FACILITIES\n1 759\n1 061\n698\n...\n21\n25\n22\n1\n42\n51\n260\n194\n71\nDILAPIDATED\n4 455\n3 300\n1 155\n2\n39\n106\n115\n13\n22\n152\n802\n677\n281\nBATAROOMS\n45 060\n40\n391\n4 669\n1 056\n2 636\n3 618\n2 483\n1 206\n1 574\n1 266\n2 908\n1 822\n1 248\nMORE THAN 1.\n11 680\n10 286\n1 394\n1 060\n536\n634\n328\n298\n237\n173\n129\n103\n68\nSHARED OR NONE\n8 699\n5 845\n2 854\n47\n62\n78\n190\n20\n122\n235\n1 513\n1 266\n357\nROOMS\n1 ROOM\n2 287\n1 706\n581\n43\n49\n69\n76\n79\n170\n168\n54\n106\n36\n2 ROOMS\n3 719\n2 808\n911\n21\n86\n156\n146\n98\n348\n299\n235\n316\n116\n3 ROOMS\n8 341\n7 184\n1 157\n80\n316\n450\n498\n306\n491\n483\n879\n729\n298\n4 ROOMS.\n16 448\n14 194\n2 254\n274\n812\n992\n785\n292\n291\n241\n1 606\n974\n583\n5 ROOMS.\n18 524\n16 522\n2 002\n633\n1 142\n1 515\n883\n324\n276\n223\n1 044\n657\n425\n6 ROOMS.\n10 612\n9 269\n1 343\n618\n580\n811\n424\n208\n151\n115\n530\n270\n154\n7 ROOMS\n3 457\n3 039\n418\n318\n171\n238\n130\n111\n82\n64\n142\n94\n44\n8 ROOMS OR MORE.\n2 051\n1 800\n251\n176\n78\n99\n59\n106\n124\n81\n60\n45\n17\nMEDIAN\n4.6\n4.6\n4.3\n5.5\n4.8\n4.8\n4.5\n4.5\n3.4\n3.3\n4.2\n4.0\n4.2\nUNITS IN STRUCTURE\n56 528\n47 647\n8 881\n1 941\n3 027\n3 764\n2 274\n797\n761\n627\n4 138\n2 915\n1 438\n2.\n3 545\n3 534\n11\n113\n111\n466\n231\n401\n267\n199\n100\n149\n203\n3 AND\n2 076\n2 066\n10\n23\n55\n82\n185\n190\n423\n292\n21\n77\n21\n5 TO 9\n2 003\n1 998\n5\n44\n12\n...\n251\n97\n247\n215\n291\n40\n11\n10 OR MORE\n1 287\n1 277\n10\n42\n29\n18\n60\n39\n235\n341\n...\n10\n...\nYEAR STRUCTURE BUILT\n1950 TO MARCH 1960\n26 059\n21 377\n4 682\n1 660\n979\n986\n847\n269\n330\n120\n1 062\n342\n156\n1940 TO 1949\n16 143\n14 640\n1 503\n355\n1 159\n1 554\n1 034\n272\n208\n192\n1 103\n897\n406\n1939 OR EARLIER\n23 237\n20 505\n2 732\n148\n1 096\n1 790\n1 120\n983\n1 395\n1 362\n2 385\n1 952\n1 111\nBASEMENT\nBASEMENT\n3 081\n2 945\n136\n106\n55\n88\n271\n147\n289\n435\n51\n73\n48\nCONCRETE SLAB.\n18 525\n15 998\n2 527\n1 081\n618\n987\n655\n238\n447\n256\n877\n514\n217\nOTHER\n43 833\n37 579\n6 254\n976\n2 561\n3 255\n2 075\n1 139\n1 197\n983\n3 622\n2 604\n1 408\nHEATING EQUIPMENT\nSTEAM OR HOT WATER\n506\n493\n13\n63\n15\n20\n18\n8\n37\n5\n47\n38\n23\nWARM AIR FURNACE\n10 887\n9 574\n1 313\n1 092\n380\n288\n316\n127\n206\n205\n47\n27\n12\nBUILT-IN ROOM UNITS\n15 147\n13 957\n1 190\n688\n1 117\n1 489\n989\n437\n201\n103\n234\n142\n69\nOTHER MEANS WITH FLUE\n3 807\n2 388\n1 419\n16\n39\n40\n109\n24\n47\n64\n468\n169\n69\nOTHER MEANS WITHOUT FLUE\n34 511\n29 732\n4 779\n304\n1 675\n2 485\n1 557\n928\n1 428\n1 284\n3 724\n2 745\n1 480\nNONE\n581\n378\n203\n8\n8\n12\n14\n13\n30\n70\n20\nALL OCCUPIED UNITS\n59 056\n52 484\n6 572\n2 015\n3 035\n4 034\n2 771\n1 398\n1 756\n1 442\n4 335\n2 985\n1 582\nPERSONS\n1 PERSON\n8 293\n7 685\n608\n170\n421\n592\n426\n336\n636\n553\n646\n488\n175\n2 PERSONS\n17 094\n15 141\n1 953\n483\n988\n1 405\n1 004\n624\n696\n528\n1 125\n552\n337\n3 PERSONS\n11 479\n10 249\n1 230\n443\n627\n890\n588\n251\n245\n214\n777\n428\n242\n4 PERSONS\n9 899\n8 803\n1 096\n541\n516\n603\n389\n107\n107\n67\n570\n369\n214\n5 PERSONS.\n5 943\n5 180\n763\n269\n285\n322\n197\n48\n46\n34\n428\n317\n172\n6 PERSONS OR MORE.\n6 348\n5 426\n922\n109\n198\n222\n167\n32\n26\n46\n789\n831\n442\nMEDIAN:\nALL OCCUPIED\n2.9\n2.8\n3.1\n3.3\n2.7\n2.5\n2.5\n2.1\n1.8\n1.8\n3.0\n3.6\n3.7\nOWNER\n3.1\n3.1\n3.0\n3.3\n2.7\n2.5\n2.6\n2.1\n2.0\n2.3\n2.7\n3.5\n3.6\nRENTER\n2.6\n2.5\n3.5\n2.7\n2.7\n2.6\n2.3\n2.1\n1.8\n1.7\n3.2\n3.5\n3.5\nPERSONS PER ROOM\n0.50 OR LESS\n23 720\n21 220\n2 500\n842\n1 380\n1 969\n1 249\n784\n902\n776\n1 553\n814\n419\n0.51 TO 0.75\n13 900\n12 474\n1 426\n661\n771\n1 051\n727\n363\n404\n301\n848\n431\n256\n0.76 TO 1.00\n13 497\n12 031\n1 466\n463\n658\n772\n568\n205\n381\n272\n830\n576\n327\n1.01 OR MORE\n7 939\n6 759\n1 180\n49\n226\n242\n227\n46\n69\n93\n1 104\n1 164\n580\nReproduced at the National Archives\n70\nCensus Tracts\n35\nTable H-1.-OCCUPANCY AND STRUCTURAL CHARACTERISTICS OF HOUSING UNITS, BY CENSUS TRACTS: 1960-Con:\n[Some data based on sample; see text. Median not shown where base is less than 50]\nAUSTIN-CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0011\n0012\nTRACT\n0013\n0014\n0015\nTRACT\nTRACT\n0016\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nALL HOUSING UNITS\n1 492\n1 451\n4 440\n1 701\n4 924\n6 266\n305\n1 477\n422\n1 584\n3 804\n326\n813\n244\nTENURE, COLOR. AND VACANCY\nSTATUS\nOWNER OCCUPIED\n231\n561\n2 603\n941\n3 716\n3 532\n264\n1 108\n360\nWHITE\n1 241\n228\n2 963\n500\n176\n2 519\n938\n3 709\n533\n3 531\n151\n264\n893\nNONWHITE\n360\n1 239\n2 429\n3\n61\n84\n176\n3\n7\n450\n151\n1\n...\n215\nRENTER OCCUPIED.\n...\n1 047\n2\n756\n534\n1 602\n657\n921\n...\n83\n2 340\n...\n8\n209\n33\nWHITE\n233\n1 022\n697\n549\n1 560\n656\n113\n913\n207\n2 333\n76\n8\n139\nNONWHITE\n33\n230\n25\n59\n441\n42\n113\n1\n8\n184\n75\n7\n...\n70\nAVAILABLE VACANT\n...\n3\n116\n62\n108\n170\n87\n245\n...\n23\n326\n1\n33\n129\n23\nFOR SALE ONLY.\n86\n3\n6\n189\n49\n23\n22\n156\n45\n17\n66\n32\nFOR RENT\n107\n19\n59\n113\n56\n139\n121\n65\n89\n2\n18\n260\n3\nOTHER VACANT\n1\n22\n4\n27\n98\n72\n50\n65\n21\n16\n42\n27\n14\n68\n...\n31\n6\n24\n103\n14\n28\n...\nCONDITION AND PLUMBING\nSOUND\n851\n1 017\n3 907\n1 671\n4 705\n6 087\n305\nWITH ALL PLUMBING FACILITIES\n1 285\n419\n719\n1 511\n955\n3 401\n3 773\n122\n1 633\n4 689\n399\n6 041\n221\nLACKING ONLY HOT WATER\n305\n1 159\n418\n1 504\n10\n3 303\n6\n40\n4\n121\n6\n319\n213\n5\n46\nLACKING OTHER PLUMBING FACILITIES\n122\n2\n56\n42\n94\n34\n1\n10\n33\n41\nDETERIORATING\n...\n80\n1\n394\n5\n305\n56\n413\n26\n...\n47\n126\n167\n8\nWITH ALL PLUMBING FACILITIES\n...\n181\n3\n63\n263\n225\n269\n305\n188\n24\n119\n148\n18\n163\nLACKING ONLY HOT WATER\n...\n54\n3\n35\n53\n19\n122\n66\n183\n4\n91\n...\n3\n15\nLACKING OTHER PLUMBING FACILITIES.\n27\n5\n96\n17\n30\n42\n5\n2\n3\n25\n1\nDILAPIOATED.\n...\n100\n247\n5\n73\n129\n120\n4\n93\n...\n32\n3\n12\n11\n10\n178\n16\n266\n5\nBATHROOMS\n983\n1 080\n3 771\n1 334\n3 793\n4 009\n67\nMORE THAN 1.\n1 034\n95\n1 337\n128\n2 158\n155\n407\n292\n342\n1 085\n445\n2 232\n176\n238\nSHARED OR NONE\n209\n327\n222\n381\n1 279\n216\n19\n262\n25\n46\n14\n63\n25\n...\n234\n25\n367\n15\n354\n5\nROOMS\n1 ROOM\n444\n62\n92\n16\n60\n112\n2 ROOMS\n...\n9\n...\n5\n177\n23\n79\n3\n194\n48\n18\n57\n12\n3 ROOMS.\n134\n...\n32\n3\n42\n285\n75\n275\n38\n483\n225\n87\n157\n605\n21\n4 ROOMS.\n...\n98\n5\n64\n221\n199\n327\n41\n1 424\n337\n1 499\n168\n49\n1 325\n5 ROOMS.\n8\n333\n21\n443\n172\n876\n403\n1 464\n104\n543\n1 924\n344\n82\n6 ROOMS.\n1 437\n106\n675\n138\n711\n83\n1 550\n189\n87\n577\n339\n142\n1 011\n48\n7 ROOMS\n1 311\n139\n300\n200\n267\n37\n884\n64\n38\n149\n43\n125\n186\n27\n728\n6 ROOMS OR MORE\n36\n28\n48\n42\n73\n175\n52\n13\n57\n68\n10\n30\n4\nMEDIAN\n614\n16\n2\n7\n10\n2.9\n22\n4.4\n2\n4.5\n4.9\n4.9\n1\n1\n5.2\n5.8\n4.9\n5.7\n4.8\n5.0\n4.3\n3.9\n4.0\nUNITS IN STRUCTURE\n1\n721\n1 052\n4 084\n1 454\n4 898\n2\n4 946\n305\n1 457\n422\n1 559\n150\n3 694\n137\n326\n115\n183\n808\n5\n239\n558\n3 AND 4.\n...\n16\n...\n25\n95\n137\n148\n...\n49\n5\n59\n16\n5\n5 TO 9\n278\n...\n...\n171\n...\n109\n10\n188\n5\n...\n317\n10 OR MORE\n...\n...\n313\n...\n...\n5\n4\n...\n5\n167\n4\n5\nYEAR STRUCTURE BUILT\n1950 TO MARCH 1960\n111\n125\n1 778\n411\n3 909\n1940 TO 1949\n1 861\n305\n1 008\n398\n1 188\n3 012\n120\n262\n45\n1 187\n305\n482\n895\n170\n2 763\n1939 OR EARLIER\n...\n402\n20\n1 261\n242\n1 064\n557\n1 475\n137\n808\n120\n343\n1 642\n50\n...\n67\n4\n154\n235\n144\n165\n24\nBASEMENT\nBASEMENT\n305\n190\n133\n189\n4\n441\nCONCRETE SLAB\n6\n...\n15\n10\n230\n158\n76\n1 233\n13\n289\n2 223\n...\n1 472\n...\nOTHER\n255\n711\n346\n614\n2 336\n957\n1 103\n48\n3 074\n1 223\n124\n69\n2 697\n4 353\n44\n766\n61\n960\n1 392\n265\n689\n175\nHEATING EQUIPMENT\nSTEAM OR HOT WATER\n30\n16\n75\n...\n4\n48\nWARM AIR FURNACE\n...\n...\n...\n7\n142\n44\n35\n...\n4\n450\n220\n1 383\n...\n1 908\n273\nBUILT-IN ROOM UNITS.\n348\n346\n209\n1 476\n78\n181\n1 290\n...\n39\n569\n1 930\n36\n2 295\nOTHER MEANS WITH FLUE.\n32\n423\n56\n676\n839\n56\n52\n28\n218\n30\n54\n61\n91\nOTHER MEANS WITHOUT FLUE\n368\n...\n124\n...\n34\n1 126\n1 154\n160\n2 381\n11\n854\n1 506\n142\n33\nNONE\n1 639\n...\n562\n20\n654\n1 235\n60\n4\n287\n26\n590\n4\n114\n10\n8\n20\n...\n4\n59\n...\n8\n...\nALL OCCUPIED UNITS\n1 278\n1 317\n4 205\n1 598\n4 637\n5 872\n272\n1 317\n393\n1 474\n3 512\n289\n740\n227\nPERSONS\n1 PERSON\n596\n279\n529\n2 PERSONS\n256\n240\n877\n6\n92\n13\n74\n357\n170\n463\n23\n62\n1 202\n25\n3 PERSONS.\n614\n1 017\n2 006\n40\n297\n114\n322\n676\n124\n229\n92\n129\n840\n70\n309\n4 PERSONS\n1 052\n1 288\n66\n258\n90\n334\n733\n67\n69\n144\n103\n49\n754\n5 PERSONS\n229\n1 232\n984\n90\n279\n100\n379\n35\n864\n81\n46\n412\n110\n42\n120\n6 PERSONS OR MORE.\n717\n485\n48\n205\n59\n217\n99\n545\n121\n22\n96\n468\n20\nMEDIAN:\n70\n379\n232\n22\n186\n17\n148\n524\n37\n240\n21\nALL OCCUPIED\n1.6\n2.3\n2.9\nOWNER.\n2.4\n3.5\n2.5\n3.8\n3.5\n3.3\n3.5\n3.7\n2.9\n2.3\n4.2\n2.9\n2.6\n3.0\nRENTER\n2.7\n3.6\n2.7\n3.8\n3.6\n3.3\n3.5\n3.7\n1.5\n...\n4.3\n2.6\n2.9\n...\n2.4\n3.2\n2.4\n...\n3.5\n...\n3.4\n3.4\n...\n3.8\n...\nPERSONS PER ROOM\n0.50 OR LESS\n525\n0.51 TO 0.75\n637\n1 573\n859\n1 379\n3 185\n93\n406\n181\n149\n419\n959\n280\n971\n100\n145\n69\n0.76 TO 1.00\n404\n1 249\n1 600\n84\n279\n112\n442\n377\n917\n235\n1 075\n72\n277\n108\n59\n1.01 OR MORE\n1 543\n954\n88\n413\n91\n506\n162\n1 075\n165\n74\n586\n143\n63\n58\n466\n133\n7\n217\n9\n172\n561\n43\n344\n36\nReproduced at the National Archives\n71\n36\nCensus Tracts\nTable H-1.-OCCUPANCY AND STRUCTURAL CHARACTERISTICS OF HOUSING UNITS, BY CENSUS TRACTS: 1960-Con.\n[Some data based on sample; see text. Median not shown where base is less than 50]\nBALANCE OF TRAVIS COUNTY\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\n1 860\n806\n4\n122\n869\n1 239\n1 368\nALL HOUSING UNITS\n10\n4\n2 635\nTENURE, COLOR, AND VACANCY\nSTATUS\n2\n919\n1 128\n570\n66\n392\n420\n864\nOWNER OCCUPIED\n2\n894\n1 087\n569\n47\n272\n355\n823\nWHITE\n25\n41\n1\n19\n120\n65\n41\nNONWHITE\n300\n705\n361\nRENTER OCCUPIED\n6\n310\n382\n117\n25\n6\n305\n317\n115\n22\n227\n668\n319\nWHITE.\n5\n65\n2\n3\n73\n37\n42\nNONWHITE\nAVAILABLE VACANT\n2\n83\n64\n49\n7\n13\n54\n32\n47\n37\n36\n5\n2\n8\n5\nFOR SALE ONLY.\n2\n36\n27\n13\n2\n11\n46\n27\nFOR RENT\n1 323\n286\n70\n24\n164\n60\n111\nOTHER VACANT\nCONDITION AND PLUMBING\nSOUND.\n4\n1 956\n1 171\n643\n69\n475\n991\n795\n298\n972\n717\nWITH ALL PLUMBING FACILITIES\n4\n1 650\n884\n633\n57\n150\n55\n5\n3\n43\n7\n29\nLACKING ONLY HOT WATER\n156\n232\n5\n9\n134\n12\n49\nLACKING OTHER PLUMBING FACILITIES\n5\n494\n418\n149\n17\n153\n93\n322\nDETERIORATING.\n9\n25\n52\n161\nWITH ALL PLUMBING FACILITIES\n5\n170\n197\n75\n125\n55\n31\n2\n8\n10\n28\nLACKING ONLY HOT WATER\n199\n166\n43\n6\n120\n31\n133\nLACKING OTHER PLUMBING FACILITIES\n1\n185\n271\n14\n36\n241\n155\n251\nDILAPIDATED.\nBATHROOMS\n63\n282\n988\n790\n12\n1 462\n759\n308\n1\n323\n381\n415\n8\n25\n45\n197\nMORE THAN 1.\n848\n720\n83\n57\n559\n206\n381\nSHARED OR NONE\nROOMS\n2\n487\n21\n19\n12\n20\n8\n12\n1 ROOM\n14\n80\n58\n59\n4\n526\n118\n52\n2 ROOMS.\n2\n452\n183\n100\n15\n127\n128\n150\n3 ROOMS.\n1\n420\n392\n146\n25\n274\n616\n380\n4 ROOMS.\n394\n590\n174\n30\n191\n192\n425\n5 ROOMS.\n15\n103\n186\n235\n1\n237\n374\n190\n6 ROOMS.\n77\n108\n77\n6\n43\n32\n75\n7 ROOMS.\n42\n74\n48\n5\n31\n19\n32\n8 ROOMS OR MORE\n3.2\n4.9\n5.0\n4.3\n4.3\n4.2\n4.7\nMEDIAN\nUNITS IN STRUCTURE\n796\n128\n856\n1 239\n1 363\n12\n2 628\n1 854\n5\n6\n...\n2.\n10\n3 AND 4.\n...\n5\n5 TO 9\n10\n10 OR MORE\nYEAR STRUCTURE BUILT\n5\n1 773\n727\n537\n58\n156\n936\n489\n1950 TO MARCH 1960\n479\n196\n123\n15\n143\n154\n385\n1940 TO 1949\n8\n149\n494\n380\n937\n146\n58\n564\n1939 OR EARLIER\nBASEMENT\n40\n10\n54\n...\n10\n17\n5\nBASEMENT\n6\n804\n452\n352\n9\n30\n656\n218\nCONCRETE SLAB\n1 789\n1 398\n400\n119\n826\n566\n1 145\nOTHER\n6\nHEATING EQUIPMENT\n4\n...\n9\n...\n...\n...\n...\nSTEAM OR HOT WATER\n252\n391\n353\n15\n36\n153\n112\nWARM AIR FURNACE\n193\n136\n131\n3\n24\n533\n170\nBUILT-IN ROOM UNITS.\n277\n355\n38\n57\n422\n119\n151\nOTHER MEANS WITH FLUE.\n33\n368\n410\n896\n13\n1 871\n916\n268\nOTHER MEANS WITHOUT FLUE\n39\n62\n12\n23\n4\n24\n39\nNONE\n8\n1 229\n1 510\n687\n91\n692\n1 125\n1 225\nALL OCCUPIED UNITS\nPERSONS\n3\n138\n115\n79\n9\n104\n53\n107\n1 PERSON\n230\n212\n364\n4\n445\n438\n235\n24\n2 PERSONS\n204\n295\n138\n12\n91\n283\n205\n3 PERSONS\n1\n176\n292\n105\n13\n68\n244\n196\n4 PERSONS\n176\n67\n16\n64\n179\n141\n119\n5 PERSONS\n17\n135\n154\n212\n147\n194\n63\n6 PERSONS OR MORE\nMEDIAN:\n2.7\n3.2\n2.7\n3.5\n2.6\n3.6\n3.2\nALL OCCUPIED\n2.8\n3.0\n3.2\n...\n2.6\n3.2\n3.1\nOWNER.\n2.8\n3.9\n...\n3.1\n3.6\n3.8\nRENTER\nPERSONS PER ROOM\n625\n321\n31\n301\n261\n479\n4\n477\n0.50 OR LESS\n1\n266\n312\n181\n12\n102\n307\n242\n0.51 TO 0.75\n271\n344\n136\n22\n130\n326\n236\n0.76 TO 1.00\n3\n215\n229\n49\n26\n159\n231\n268\n1.01 OR MORE\n72\nReproduced at the National Archives\nCensus Tracts\n37\nTable H-1.-OCCUPANCY AND STRUCTURAL CHARACTERISTICS OF HOUSING UNITS, BY CENSUS TRACTS: 1960-Con:\n[Some data based on sample; see text. Median not shown where base is less than 50]\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nALL HOUSING UNITS\n2 173\n4 334\n4 924\n2 940\n3 337\n1 228\n1 588\n3 926\n1 195\n2 052\n1 612\nTENURE. COLOR, AND VACANCY\nSTATUS\nOWNER OCCUPIED\n1 642\n2 534\n3 716\n1 183\n2 236\n930\n1 243\n3 029\n568\n953\n1 015\nWHITE\n1 641\n2 534\n3 709\n1 158\n1 980\n929\n1 241\n2 476\n448\n805\n974\nNONWHITE\n1\n...\n7\n25\n256\n1\n2\n553\n120\n148\n41\nRENTER OCCUPIED\n381\n1 501\n921\n318\n591\n150\n235\n574\n413\n912\n437\nWHITE.\n333\n1 499\n913\n313\n456\n148\n232\n463\n340\n852\n394\nNONWHITE\n48\n2\n8\n5\n135\n2\n3\n111\n73\n60\n43\nAVAILABLE VACANT\n126\n215\n245\n116\n193\n72\n86\n196\n36\n99\n49\nFOR SALE ONLY.\n48\n29\n156\n79\n144\n55\n59\n144\n4\n26\n8\nFOR RENT\n78\n186\n89\n37\n49\n17\n27\n52\n32\n73\n41\nOTHER VACANT\n24\n84\n42\n1 323\n317\n76\n24\n127\n178\n88\n111\nCONDITION AND PLUMBING\nSOUND\n2 124\n3 770\n4 705\n2 261\n2 456\n1 062\n1 511\n3 470\n597\n1 390\n1 016\nWITH ALL PLUMBING FACILITIES\n2 079\n3 743\n4 689\n1 955\n2 043\n1 051\n1 504\n3 360\n419\n1 291\n930\nLACKING ONLY HOT WATER\n3\n8\n6\n150\n101\n5\n2\n45\n44\n40\n29\nLACKING OTHER PLUMBING FACILITIES\n42\n19\n10\n156\n312\n6\n5\n65\n134\n59\n57\nDETERIORATING.\n46\n458\n126\n494\n599\n152\n66\n242\n341\n241\n340\nWITH ALL PLUMBING FACILITIES\n45\n430\n119\n170\n251\n78\n56\n131\n208\n143\n176\nLACKING ONLY HOT WATER\n1\n3\n4\n125\n82\n31\n5\n32\n13\n35\n28\nLACKING OTHER PLUMBING FACILITIES\n25\n3\n199\n266\n43\n5\n79\n120\n63\n136\nDILAPIDATED.\n3\n106\n93\n185\n282\n14\n11\n214\n257\n421\n256\nBATHROOMS\n1 068\n3 619\n3 793\n1 529\n1 793\n403\n1 341\n2 221\n574\n1 433\n966\nMORE THAN\n1 060\n634\n1 085\n561\n590\n742\n222\n1 287\n44\n59\n260\nSHARED OR NONE\n47\n78\n46\n848\n954\n83\n25\n424\n574\n560\n386\nROOMS\n1 ROOM\n45\n69\n60\n487\n30\n19\n5\n35\n23\n26\n24\n2 ROOMS\n25\n156\n57\n526\n150\n55\n42\n89\n118\n145\n80\n3 ROOMS\n82\n450\n157\n452\n281\n105\n64\n214\n168\n296\n199\n4 ROOMS\n275\n992\n1 499\n428\n725\n167\n443\n901\n378\n960\n462\n5 ROOMS\n633\n1 518\n1 924\n500\n1 265\n312\n714\n1 580\n278\n334\n473\n6 ROOMS\n619\n812\n1 011\n376\n674\n390\n268\n899\n141\n229\n262\n7 ROOMS\n318\n238\n186\n113\n136\n125\n42\n181\n56\n42\n79\n8 ROOMS OR MORE\n176\n99\n30\n58\n76\n55\n10\n27\n33\n20\n33\nMEDIAN\n5.5\n4.8\n4.9\n3.5\n4.9\n5.4\n4.8\n5.0\n4.3\n4.1\n4.6\nUNITS IN STRUCTURE\n1\n1 953\n3 765\n4 898\n2 933\n3 311\n1 218\n1 563\n3 822\n1 182\n2 047\n1 602\n2\n113\n466\n5\n5\n22\n...\n25\n95\n5\n5\n3 AND 4.\n23\n82\n16\n...\n...\n10\n...\n10\n...\n5 TO 9\n44\n...\n...\n5\n10 OR MORE\n42\n18\n5\n4\n5\n10\nYEAR STRUCTURE BUILT\n1950 TO MARCH 1960\n1 665\n987\n3 909\n2 078\n1 735\n935\n1 188\n3 070\n201\n1 241\n659\n1940 TO 1949\n363\n1 554\n895\n479\n598\n143\n242\n572\n280\n497\n435\n1939 OR EARLIER\n148\n1 790\n120\n380\n1 004\n150\n158\n293\n708\n314\n518\nBASEMENT\nBASEMENT\n106\n88\n4\n46\n10\n69\n10\n76\n23\n17\n5\nCONCRETE SLAB\n1 087\n987\n2 223\n1 059\n1 163\n698\n614\n2 345\n78\n780\n287\nOTHER\n982\n3 256\n2 697\n1 833\n2 164\n461\n964\n1 511\n1 091\n1 255\n1 320\nHEATING EQUIPMENT\nSTEAM OR HOT WATER\n63\n20\n4\n...\n...\n4\n7\n35\n9\n4\n...\nWARM AIR FURNACE\n1 092\n289\n1 383\n525\n739\n699\n209\n1 491\n36\n192\n148\nBUILT-IN ROOM UNITS.\n688\n1 489\n1 930\n225\n559\n187\n676\n842\n52\n563\n231\nOTHER MEANS WITH FLUE.\n16\n40\n91\n277\n479\n38\n34\n217\n433\n261\n184\nOTHER MEANS WITHOUT FLUE\n317\n2 485\n1 506\n1 871\n1 478\n288\n658\n1 268\n655\n1 000\n1 010\nNONE\n8\n10\n39\n82\n12\n4\n82\n4\n32\n39\nALL OCCUPIED UNITS\n2 023\n4 035\n4 637\n1 501\n2 827\n1 080\n1 478\n3 603\n981\n1 865\n1 452\nPERSONS\n1 PERSON\n173\n592\n240\n144\n207\n92\n74\n179\n127\n115\n132\n2 PERSONS.\n487\n1 405\n1 017\n485\n735\n349\n323\n700\n322\n341\n434\n3 PERSONS.\n443\n891\n1 052\n270\n553\n228\n335\n745\n160\n386\n254\n4 PERSONS.\n542\n603\n1 232\n266\n571\n205\n380\n877\n114\n354\n238\n5 PERSONS.\n269\n322\n717\n167\n381\n126\n218\n561\n86\n275\n161\n6 PERSONS OR MORE\n109\n222\n379\n169\n380\n80\n148\n541\n172\n394\n233\nMEDIAN:\nALL OCCUPIED\n3.3\n2.5\n3.5\n3.0\n3.4\n2.9\n3.5\n3.7\n2.8\n3.8\n3.1\nOWNER.\n3.3\n2.5\n3.6\n3.2\n3.3\n3.2\n3.5\n3.7\n2.9\n3.7\n3.1\nRENTER\n2.6\n2.6\n3.2\n2.8\n3.8\n...\n3.3\n3.4\n3.2\n3.6\n3.7\nPERSONS PER ROOM\n0.50 OR LESS\n846\n1 969\n1 379\n570\n1 033\n502\n420\n990\n401\n406\n548\n0.51 TO 0.75\n662\n1 052\n1 249\n350\n591\n293\n379\n929\n174\n415\n301\n0.76 TO 1.00\n463\n772\n1 543\n359\n757\n227\n507\n1 097\n204\n469\n299\n1.01 OR MORE\n52\n242\n466\n222\n446\n58\n172\n587\n202\n575\n304\nReproduced at the National Archives\n73\n38\nCensus Tracts\nTable H-2.-YEAR MOVED INTO UNIT, AUTOMOBILES AVAILABLE, AND VALUE OR RENT OF OCCUPIED\nHOUSING UNITS, BY CENSUS TRACTS: 1960\n(Some data based on sample; median not shown where base is insufficient; see text. Plus (+) or minus (-) after number indicates median above or below that number]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0002\n0003\n0004\n0005\n0006\n0007\n0008\n0009\n0010\nALL OCCUPIED UNITS\n59 056\n52 484\n6 572\n2 015\n3 035\n4 034\n2 771\n1 398\n1 756\n1 442\n4 335\n2 985\n1 582\nYEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n25 116\n22 410\n2 706\n732\n1 176\n1 426\n1 271\n788\n1 147\n864\n1 220\n998\n596\n1954 TO 1957\n13 348\n11 865\n1 483\n728\n665\n757\n456\n150\n224\n200\n1 081\n672\n375\n1940 TO 1953\n15 618\n13 970\n1 648\n543\n990\n1 453\n775\n269\n208\n227\n1 407\n841\n430\n1939 OR EARLIER\n4 974\n4 239\n735\n12\n204\n398\n269\n191\n177\n151\n627\n474\n181\nAUTOMOBILES AVAILABLE\n32 645\n28\n776\n854\n1 751\n2 397\n1 470\n834\n1 015\n815\n1 900\n1 377\n930\n2.\n15 356\n13 364\n1 003\n855\n973\n739\n246\n250\n160\n446\n251\n176\n3 OR MORE.\n1 960\n1 702\n84\n99\n156\n60\n126\n64\n49\n42\n25\n5\nNONE\n9 092\n8 642\n74\n330\n508\n502\n192\n427\n418\n1 947\n1 332\n471\nVALUE\nOWNER OCCUPIED\n32 062\n29 360\n2 702\n1 617\n1 826\n2 335\n1 334\n382\n240\n209\n2 051\n1 265\n731\nLESS THAN $5,000\n3 795\n3 224\n571\n7\n72\n128\n97\n5\n1\n8\n664\n585\n237\n$5,000 TO $9,900\n10 420\n9 806\n614\n109\n823\n1 110\n568\n102\n29\n27\n1 113\n540\n439\n$10,000 TO $14,900\n9 955\n9 350\n605\n562\n627\n696\n452\n135\n75\n48\n210\n102\n49\n$15,000 TO $19,900\n3 983\n3 552\n431\n298\n173\n227\n139\n80\n54\n31\n38\n25\n5\n$20,000 TO $24,900\n1 643\n1 452\n191\n154\n70\n92\n46\n27\n40\n21\n13\n9\n...\n$25,000 OR MORE\n2 266\n1 976\n290\n487\n61\n82\n32\n33\n41\n74\n13\n4\n1\nMEDIAN\nDOLLARS\n10 800\n10 800\n11 200\n17\n200\n10 100\n9 700\n10 000\n13\n100\n16 400\n18 500\n6 600\n5 400\n6 500\nGROSS RENT\nRENTER OCCUPIED\n22 922\n21\n163\n1 759\n375\n1 135\n1 501\n1 334\n913\n1 404\n1 173\n2 175\n1 649\n750\nLESS THAN $20.\n385\n311\n74\n...\n12\n...\n4\n...\n...\n41\n33\n63\n23\n$20 TO $39\n3 974\n3 827\n147\n...\n48\n59\n117\n43\n129\n176\n969\n712\n213\n$40 TO $59\n5 109\n4 867\n242\n39\n193\n317\n254\n160\n298\n249\n806\n604\n346\n$60 TO $79\n5 576\n5 201\n375\n67\n386\n577\n342\n278\n412\n384\n248\n180\n127\n$80 TO $99\n3 642\n3 280\n362\n63\n272\n350\n297\n238\n306\n135\n35\n24\n9\n$100 TO $149\n2 340\n2 148\n192\n117\n132\n124\n226\n152\n140\n126\n8\n...\n...\n$150 OR MORE\n390\n374\n16\n8\n23\n...\n21\n8\n37\n25\n...\n...\n...\nNO CASH RENT\n1 506\n1 155\n351\n81\n69\n74\n73\n34\n82\n37\n76\n66\n32\nMEDIAN\nDOLLARS\n64\n64\n75\n94\n74\n72\n75\n77\n73\n64\n41\n40\n47\nCONTRACT RENT\nRENTER OCCUPIED.\n21 416\n20 008\n1 408\n294\n1 066\n1 427\n1 261\n879\n1 322\n1 136\n2 099\n1 583\n718\nMEDIAN\nDOLLARS\n54\n54\n69\n77\n62\n61\n63\n67\n65\n57\n32\n31\n37\nAUSTIN--CON.\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0011\n0012\n0013\n0014\n0015\n0016\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nALL OCCUPIED UNITS\n1 278\n1 317\n4 205\n1 598\n4 637\n5 872\n272\n1 317\n393\n1 474\n3 512\n289\n740\n227\nYEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n621\n525\n1 817\n672\n1 985\n2 323\n208\n705\n209\n854\n1 786\n100\n250\n137\n1954 TO 1957\n233\n256\n952\n283\n1 370\n1 214\n64\n309\n132\n274\n1 103\n87\n205\n75\n1940 TO 1953\n249\n326\n1 079\n454\n1 257\n1 918\n...\n290\n48\n306\n572\n72\n248\n8\n1939 OR EARLIER\n175\n210\n357\n189\n25\n417\n...\n13\n4\n40\n51\n30\n37\n7\nAUTOMOBILES AVAILABLE\n1\n589\n737\n2 547\n1 013\n2 662\n3 009\n117\n815\n136\n912\n2 059\n233\n458\n146\n2.\n123\n227\n1 039\n397\n1 727\n2 235\n143\n360\n232\n470\n1 160\n36\n80\n36\n3 OR MORE\n30\n49\n105\n63\n119\n356\n12\n38\n25\n47\n94\n5\n31\n18\nNONE\n536\n304\n514\n125\n129\n272\n...\n104\n...\n45\n199\n15\n171\n27\nVALUE\nOWNER OCCUPIED\n200\n526\n2 393\n865\n3 677\n3 329\n264\n1 091\n354\n1 187\n2 894\n164\n469\n67\nLESS THAN $5,000\n16\n81\n322\n29\n55\n29\n...\n206\n...\n38\n272\n17\n266\n1\n$5,000 TO $9,900\n54\n258\n1 105\n301\n1 384\n270\n...\n307\n6\n473\n692\n99\n158\n16\n$10,000 TO $14,900\n36\n122\n698\n322\n1 601\n910\n20\n522\n43\n590\n1 244\n35\n36\n24\n$15,000 TO $19,900\n26\n42\n182\n115\n369\n810\n125\n54\n173\n69\n566\n7\n3\n14\n$20,000 TO $24,900\n20\n12\n47\n58\n182\n438\n62\n1\n69\n7\n92\n2\n1\n8\n$25,000 OR MORE\n48\n11\n39\n40\n86\n872\n57\n1\n63\n10\n28\n4\n5\n4\nMEDIAN\nDOLLARS\n14 200\n8 500\n9 000\n11\n600\n11\n200\n17 800\n19 500\n10\n300\n18 700\n10\n700\n11 900\n8 300\n5 000-\n13\n400\nGROSS RENT\nRENTER OCCUPIED\n1 047\n756\n1 602\n657\n921\n2 340\n8\n209\n36\n233\n549\n113\n207\n76\nLESS THAN $20.\n39\n24\n43\n...\n...\n...\n16\n...\n...\n9\n...\n4\n$20 TO $39\n280\n86\n223\n16\n14\n587\n41\n...\n3\n44\n12\n51\n4\n$40 TO $59\n302\n256\n481\n98\n76\n148\n...\n42\n4\n29\n79\n16\n51\n19\n$60 TO $79\n235\n226\n466\n263\n256\n310\n47\n12\n107\n145\n66\n41\n26\n$80 TO $99\n69\n107\n211\n187\n331\n447\n...\n27\n...\n59\n79\n11\n9\n14\n$100 TO $149\n52\n32\n89\n73\n153\n553\n22\n16\n29\n91\n...\n13\n$150 OR MORE\n12\n...\n4\n...\n26\n163\n4\n...\n...\n43\n...\n...\nNO CASH RENT\n58\n25\n85\n20\n65\n132\n8\n10\n4\n6\n59\n8\n51\nMEDIAN\nDOLLARS\n53\n60\n60\n76\n84\n83\n...\n...\n76\n76\n...\nCONTRACT RENT\nRENTER OCCUPIED\n989\n731\n1 517\n637\n856\n2 208\n...\n199\n32\n227\n490\n105\n156\n76\nMEDIAN\nDOLLARS\n46\n52\n51\n63\n68\n71\n63\n62\nReproduced at the National Archives\n74\nCensus Tracts\n39\nTable H-2.-YEAR MOVED INTO UNIT, AUTOMOBILES AVAILABLE, AND VALUE OR RENT OF OCCUPIED\nHOUSING UNITS, BY CENSUS TRACTS: 1960-Con.\n[Some data based on sample; median not shown where base is insufficient; see text. Plus (+) or minus (-) after number indicates median above or below that number]\nBALANCE OF TRAVIS COUNTY\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nALL OCCUPIED UNITS\n8\n1\n1 229\n1 510\n687\n4\n91\n692\n1 125\n1 225\nYEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n10\n469\n569\n275\n53\n175\n743\n408\n1954 TO 1957\n283\n337\n197\n25\n120\n225\n296\n1940 TO 1953\n361\n368\n182\n11\n254\n111\n361\n1939 OR EARLIER.\n114\n236\n33\n8\n138\n46\n160\nAUTOMOBILES AVAILABLE\n1\n2.\n3 OR MORE\nNONE\nVALUE\nOWNER OCCUPIED\n576\n669\n422\n41\n247\n242\n505\nLESS THAN $5,000\n80\n86\n16\n15\n166\n110\n98\n$5,000 TO $9,900\n143\n133\n25\n7\n58\n73\n175\n$10,000 TO $14,900\n147\n208\n53\n7\n40\n150\n$15,000 TO $19,900\n114\n205\n55\n8\n...\n7\n42\n$20,000 TO $24,900\n36\n28\n73\n7\n12\n8\n27\n$25,000 OR MORE\n56\n9\n200\n4\n4\n4\n13\nMEDIAN\nDOLLARS\n12 000\n12 800\n24 200\n...\n5 000-\n5 800\n9 300\nGROSS RENT\nRENTER OCCUPIED.\n10\n248\n213\n96\n45\n186\n688\n269\nLESS THAN $20.\n10\n...\n...\n8\n40\n8\n8\n$20 TO $39\n25\n39\n12\n...\n32\n18\n21\n$40 TO $59\n10\n37\n42\n8\n15\n49\n44\n37\n$60 TO $79\n38\n28\na\n4\n13\n194\n90\n$80 TO $99\n19\n11\n20\n...\n...\n279\n29\n$100 TO $149\n14\n19\n20\n7\n...\n116\n16\n$150 OR MORE\n...\n8\n8\n...\n...\n...\n...\nNO CASH RENT\n105\n66\n20\n11\n52\n29\n68\nMEDIAN\nDOLLARS\n...\n...\n92\n67\nCONTRACT RENT\nRENTER OCCUPIED.\n10\n143\n147\n76\n34\n134\n659\n201\nMEDIAN\nDOLLARS\n...\n91\n53\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0001\n0003\n0015\n0017\n0018\n0019\n0020\n0021\n0022\n0023\n0024\nALL OCCUPIED UNITS\n2 023\n4 035\n4 637\n1 501\n2 827\n1 080\n1 478\n3 603\n981\n1 865\n1 452\nYEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n742\n1 426\n1 985\n677\n1 274\n484\n858\n1 839\n275\n993\n545\n1954 TO 1957\n728\n757\n1 370\n347\n646\n329\n274\n1 128\n207\n430\n371\n1940 TO 1953\n543\n1 453\n1 257\n361\n658\n230\n306\n583\n326\n359\n369\n1939 OR EARLIER,\n12\n398\n25\n114\n249\n37\n40\n59\n168\n83\n167\nAUTOMOBILES AVAILABLE\n1\n2\n3 OR MORE\nNONE\nVALUE\nOWNER OCCUPIED\n1 617\n2 335\n3 677\n840\n1 760\n776\n1 187\n2 935\n411\n711\n572\nLESS THAN $5,000\n7\n128\n55\n80\n292\n16\n38\n287\n183\n376\n99\n$5,000 TO $9,900\n109\n1 110\n1 384\n143\n440\n31\n473\n699\n157\n231\n191\n$10,000 TO $14,900\n562\n696\n1 601\n167\n730\n96\n590\n1 244\n42\n76\n174\n$15,000 TO $19,900\n298\n227\n369\n239\n259\n228\n69\n574\n7\n10\n56\n$20,000 TO $24,900\n154\n92\n182\n98\n29\n142\n7\n99\n14\n9\n35\n$25,000 OR MORE\n487\n82\n86\n113\n10\n263\n10\n32\n8\n9\n17\nMEDIAN\nDOLLARS\n17 200\n9 700\n11 200\n15 600\n11 000\n20 600\n10 700\n11 900\n5 700\n5 000-\n9 900\nGROSS RENT\nRENTER OCCUPIED\n385\n1 501\n921\n256\n422\n132\n237\n594\n299\n895\n345\nLESS THAN $20.\n...\n...\n10\n16\n...\n...\n17\n40\n12\n8\n$20 TO $39\n59\n14\n25\n80\n12\n3\n44\n44\n69\n25\n$40 TO $59\n49\n317\n76\n37\n84\n12\n29\n94\n65\n95\n56\n$60 TO $79\n67\n577\n256\n38\n75\n20\n107\n149\n79\n235\n116\n$80 TO $99\n63\n350\n331\n19\n38\n20\n63\n79\n11\n288\n43\n$100 TO $149\n117\n124\n153\n14\n41\n36\n29\n98\n...\n116\n29\n$150 OR MORE\n8\n...\n26\n...\n12\n8\n...\n43\n...\n...\n...\nNO CASH RENT\n81\n74\n65\n113\n76\n24\n6\n70\n60\n80\n68\nMEDIAN\nDOLLARS\n93\n72\n84\n59\n76\n75\n50\n80\n67\nCONTRACT RENT\nRENTER OCCUPIED\n304\n1 427\n856\n143\n346\n108\n231\n524\n239\n815\n277\nMEDIAN\nDOLLARS\n76\n61\n68\n44\n62\n60\n38\n79\n55\nReproduced at the National Archives\n75\n40\nCensus Tracts\nTable H-3.-CHARACTERISTICS OF HOUSING UNITS WITH NONWHITE HOUSEHOLD HEADS, FOR CENSUS TRACTS\nWITH 100 OR MORE SUCH UNITS: 1960\n[Asterisk (*) denotes items restricted to tracts containing 400 or more such housing units. Median not shown where base is insufficient; see text. Minus (-) after number\nindicates median below that number]\nTRAVIS COUNTY\nAUSTIN\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0004\n0008\n0009\n0012\n0013\n0018\nALL OCCUPIED UNITS\n6 997\n6 458\n539\n440\n3 737\n766\n120\n126\n285\nTENURE\nOWNER OCCUPIED\n3 676\n3 364\n312\n253\n1 757\n348\n61\n84\n215\nRENTER OCCUPIED\n3 321\n3 094\n227\n187\n1 980\n418\n59\n42\n70\nCONDITION AND PLUMBING\nSOUND.\n3 648\n3 495\n153\n314\n1 910\n404\n31\n50\n154\nWITH ALL PLUMBING FACILITIES\n2 943\n2 887\n56\n267\n1 687\n261\n27\n47\n59\nLACKING SOME OR ALL FACILITIES\n705\n608\n97\n47\n223\n143\n4\n3\n95\nDETERIORATING.\n1 827\n1 703\n124\n57\n1 144\n171\n22\n38\n127\nWITH ALL PLUMBING FACILITIES\n783\n770\n13\n14\n557\n81\n14\n15\n17\nLACKING SOME OR ALL FACILITIES\n1 044\n933\n111\n43\n587\n90\n8\n23\n110\nDILAPIDATED\n1 522\n1 260\n262\n69\n683\n191\n67\n38\n4\nROOMS\n1 ROOM\n148\n144\n4\n6\n44\n22\n...\n1\n2\n2 ROOMS\n394\n358\n36\n8\n186\n74\n4\n10\n14\n3 ROOMS\n1 287\n1 177\n110\n67\n740\n145\n23\n15\n44\n4 ROOMS\n2 448\n2 254\n194\n158\n1 306\n219\n32\n39\n121\n5 ROOMS\n1 622\n1 504\n118\n128\n831\n168\n41\n37\n65\n6 ROOMS\n769\n717\n52\n48\n458\n81\n12\n14\n30\n7 ROOMS\n240\n222\n18\n16\n125\n38\n8\n10\n8\n8 ROOMS OR MORE\n89\n82\n7\n9\n47\n19\n1\nMEDIAN\n4.2\n4.2\n4.1\n4.4\n4.2\n4.1\n4.5\n4.4\n4.2\nPERSONS\n1 PERSON\n1 206\n1 123\n83\n76\n587\n191\n18\n15\n35\n2 PERSONS\n1 834\n1 688\n146\n120\n1 009\n186\n34\n39\n70\n3 PERSONS\n1 188\n1 118\n70\n84\n679\n116\n18\n27\n41\n4 PERSONS\n824\n766\n58\n57\n464\n85\n17\n14\n25\n5 PERSONS\n634\n600\n34\n38\n355\n61\n10\n7\n29\n6 PERSONS OR MORE\n1 311\n1 163\n148\n65\n643\n127\n23\n24\n85\nMEDIAN\n2.9\n2.9\n3.1\n2.8\n2.9\n2.6\n2.9\n2.8\n3.4\nPERSONS PER ROOM\n0.50 OR LESS\n2 612\n2 414\n198\n193\n1 395\n321\n45\n49\n89\n0.51 TO 0.75\n1 302\n1 234\n68\n92\n744\n128\n25\n29\n46\n0.76 TO 1.00\n1 323\n1 231\n92\n77\n691\n139\n22\n20\n46\n1.01 OR MORE\n1 760\n1 579\n181\n78\n907\n178\n28\n28\n104\n*YEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n2 135\n1 999\n136\n153\n1 068\n248\n1954 TO 1957\n1 556\n1 461\n95\n78\n893\n175\n1953 OR EARLIER.\n3 307\n2 992\n315\n209\n1 770\n343\n*UNITS IN STRUCTURE\n6 371\n5 821\n550\n428\n3 342\n686\n2.\n148\n148\n...\n...\n83\n33\n3 AND 4.\n101\n101\n12\n21\n22\n5 OR MORE\n375\n375\n...\n291\n25\n*YEAR STRUCTURE BUILT\n1950 TO MARCH 1960\n1 684\n1 575\n109\n113\n820\n86\n1940 TO 1949\n1 640\n1 525\n115\n64\n888\n117\n1939 OR EARLIER\n3 674\n3 352\n322\n263\n2 029\n563\n*VALUE\nOWNER OCCUPIED\n3 459\n3 235\n224\n246\n1 668\n334\nLESS THAN $5,000\n1 475\n1 297\n178\n87\n607\n156\n$5,000 TO $9,900\n1 524\n1 489\n35\n119\n857\n110\n$10,000 TO $14,900\n343\n335\n8\n29\n150\n49\n$15,000 TO $19,900\n77\n77\n...\n7\n39\n8\n$20,000 TO $24,900\n30\n27\n3\n4\n12\n11\n$25,000 OR MORE\n10\n10\n...\n...\n3\n...\nMEDIAN.\n.DOLLARS\n5 600\n5 800\n5 000-\n6 100\n6 100\n5 300\n*GROSS RENT\nRENTER OCCUPIED\n3 233\n3 091\n142\n187\n1 980\n418\nLESS THAN $20,\n125\n98\n27\n4\n29\n21\n$20 TO $39\n1 329\n1 304\n25\n71\n933\n148\n$40 TO $59\n1 167\n1 153\n14\n74\n733\n196\n$60 TO $79\n309\n304\n5\n23\n207\n40\n$80 TO $99\n53\n48\n5\n...\n21\n9\n$100 OR MORE\n15\n11\n4\n...\n8\n...\nNO CASH RENT\n235\n173\n62\n15\n49\n4\nMEDIAN.\nDOLLARS\n41\n41\n40\n43\nReproduced at the National Archives\n76\nCensus Tracts\n41\nTable H-3.-CHARACTERISTICS OF HOUSING UNITS WITH NONWHITE HOUSEHOLD HEADS, FOR CENSUS TRACTS\nWITH 100 OR MORE SUCH UNITS: 1960-Con.\n[Asterisk (*) denotes items restricted to tracts containing 400 or more such housing units. Median not shown where base is insufficient; see text. Minus (-) after number\nindicates median below that number]\nAUSTIN--CON.\nBALANCE OF TRAVIS COUNTY\nTOTALS FOR SPLIT TRACTS\nSUBJECT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\nTRACT\n0021\n0023\n0018\n0022\n0023\n0018\n0021\n0022\n0023\nALL OCCUPIED UNITS\n642\n106\n106\n193\n102\n391\n664\n193\n208\nTENURE\nOWNER OCCUPIED\n534\n83\n41\n120\n65\n256\n553\n120\n148\nRENTER OCCUPIED.\n108\n23\n65\n73\n37\n135\n111\n73\n60\nCONDITION AND PLUMBING\nSOUND\n500\n3\n36\n52\n28\n190\n511\n52\n31\nWITH ALL PLUMBING FACILITIES\n461\n2\n5\n5\n24\n64\n465\n5\n26\nLACKING SOME OR ALL FACILITIES\n39\n1\n31\n47\n4\n126\n46\n47\n5\nDETERIORATING.\n87\n19\n23\n48\n17\n150\n91\n48\n36\nWITH ALL PLUMBING FACILITIES\n42\n8\n4\n3\n...\n21\n43\n3\n8\nLACKING SOME OR ALL FACILITIES\n45\n11\n19\n45\n17\n129\n48\n45\n28\nDILAPIDATED\n55\n84\n47\n93\n57\n51\n62\n93\n141\nROOMS\n1 ROOM\n2\n4\n...\n1\n2\n2\n2\n1\n6\n2 ROOMS\n13\n7\n8\n12\n7\n22\n15\n12\n14\n3 ROOMS\n53\n31\n21\n50\n8\n65\n61\n50\n39\n4 ROOMS\n317\n35\n41\n62\n54\n162\n320\n62\n89\n5 ROOMS\n183\n21\n22\n44\n19\n87\n188\n44\n40\n6 ROOMS\n59\n7\n10\n14\n9\n40\n61\n14\n16\n7 ROOMS\n13\n1\n2\n8\n3\n10\n15\n8\n4\n8 ROOMS OR MORE\n2\n2\n2\n...\n3\n2\n2\nMEDIAN\n4.3\n3.8\n4.1\n4.0\n4.1\n4.2\n4.3\n4.0\n4.0\nPERSONS\n1 PERSON\n66\n26\n13\n38\n16\n48\n70\n38\n42\n2 PERSONS.\n151\n16\n24\n59\n18\n94\n158\n59\n34\n3 PERSONS.\n112\n10\n16\n20\n15\n57\n117\n20\n25\n4 PERSONS,\n81\n8\n14\n19\n15\n39\n82\n19\n23\n5 PERSONS\n82\n12\n7\n10\n8\n36\n83\n10\n20\n6 PERSONS OR MORE\n150\n34\n32\n47\n30\n117\n154\n47\n64\nMEDIAN\n3.4\n3.6\n3.5\n2.5\n3.6\n3.4\n3.4\n2.5\n3.6\nPERSONS PER ROOM\n0.50 OR LESS\n213\n34\n32\n81\n31\n121\n223\n81\n65\n0.51 TO 0.75\n113\n12\n9\n27\n16\n55\n115\n27\n28\n0.76 TO 1.00\n127\n15\n27\n25\n20\n73\n131\n25\n35\n1.01 OR MORE\n189\n45\n38\n60\n35\n142\n195\n60\n80\n*YEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n260\n268\n1954 TO 1957\n166\n173\n1953 OR EARLIER\n216\n223\n*UNITS IN STRUCTURE\n1\n627\n643\n2.\n5\n5\n3 AND 4.\n10\n10\n5 OR MORE\n*YEAR STRUCTURE BUILT\n1950 TO MARCH 1960\n434\n445\n1940 TO 1949\n130\n133\n1939 OR EARLIER\n78\n86\n*VALUE\nOWNER OCCUPIED\n526\n544\nLESS THAN $5,000\n153\n164\n$5,000 TO $9,900\n280\n284\n$10,000 TO $14,900\n70\n70\n$15,000 TO $19,900\n23\n23\n$20,000 TO $24,900\n3\n$25,000 OR MORE\n...\nMEDIAN\nDOLLARS\n6 700\n6 600\n*GROSS RENT\nRENTER OCCUPIED.\n108\n112\nLESS THAN $20\n4\n8\n$20 TO $39\n23\n23\n$40 TO $59\n39\n39\n$60 TO $79\n4\n4\n$80 TO $99\n5\n5\n$100 OR MORE\nNO CASH RENT\n33\n33\n77\nMEDIAN.\nReproduced atothe National Archives\n42\nCensus Tracts\nTable H-4.-CHARACTERISTICS OF HOUSING UNITS WITH WHITE HOUSEHOLD HEADS HAVING SPANISH\nSURNAME, FOR CENSUS TRACTS WITH 400 OR MORE SUCH UNITS: 1960\n[Based on sample; see text. Median not shown where base is less than 200; minus (-) after number indicates median below that number]\nTRAVIS COUNTY\nAUSTIN\nTOTAL FOR\nSPLIT TRACT\nSUBJECT\nTOTAL\nAUSTIN\nBALANCE\nTRACT\nTRACT\nTRACT\nTRACT\n0009\n0010\n0013\n0023\nALL OCCUPIED UNITS\n4 998\n4 623\n375\n1 553\n817\n472\n401\nTENURE\nOWNER OCCUPIED\n2 650\n2 518\n688\n446\n285\n280\nRENTER OCCUPIED.\n2 348\n2 105\n865\n371\n187\n121\nCONDITION AND PLUMBING\nSOUND,\n2 865\n2 698\n844\n404\n338\n240\nWITH ALL PLUMBING FACILITIES\n2 445\n2 340\n674\n377\n321\n156\nLACKING SOME OR ALL FACILITIES\n420\n358\n170\n27\n17\n84\nDETERIORATING\n1 230\n1 116\n400\n250\n99\n72\nWITH ALL PLUMBING FACILITIES\n711\n689\n195\n181\n76\n32\nLACKING SOME OR ALL FACILITIES\n519\n427\n205\n69\n23\n40\nDILAPIDATED\n903\n809\n309\n163\n35\n89\nROOMS\n1 ROOM\n130\n130\n31\n17\n4\n17\n175\n70\n12\n46\n2 ROOMS\n418\n372\n3 ROOMS\n955\n910\n344\n146\n104\n84\n1 838\n1 673\n590\n301\n165\n184\n4 ROOMS\n5 ROOMS\n1 119\n1 043\n292\n176\n131\n39\n360\n329\n87\n58\n40\n28\n5 ROOMS\n124\n116\n26\n31\n12\n3\n7 ROOMS.\n3 ROOMS OR MORE\n54\n50\n8\n18\n4\n...\nMEDIAN\n4.0\n4.0\n3.9\n4.1\n4.2\n3.8\nPERSONS\n306\n293\n139\n24\n32\n5\n1 PERSON\n2 PERSONS\n665\n629\n153\n129\n70\n46\n3 PERSONS\n804\n772\n269\n107\n79\n42\n4 PERSONS\n749\n691\n207\n125\n72\n40\n3 PERSONS\n627\n562\n230\n92\n51\n78\n5 PERSONS OR MORE.\n1 847\n1 676\n555\n340\n168\n190\nMEDIAN\n4.5\n4.4\n4.5\n4.8\n4.3\n5.4\nPERSONS PER ROOM\n0.50 OR LESS\n649\n591\n211\n88\n81\n29\n0.51 TO 0.75\n773\n755\n189\n128\n63\n42\n0.76 TO 1.00\n1 119\n1 064\n340\n180\n114\n37\n1.01 OR MORE\n2 457\n2 213\n813\n421\n214\n293\nYEAR MOVED INTO UNIT\n1958 TO MARCH 1960\n2 114\n1 950\n565\n336\n230\n155\n1954 TO 1957\n1 266\n1 192\n374\n239\n114\n113\n1953 OR EARLIER,\n1 618\n1 481\n614\n242\n128\n133\nUNITS IN STRUCTURE\n4 668\n4 276\n1 457\n732\n483\n417\n2.\n197\n197\n64\n78\n5\n5\n3 AND 4.\n101\n101\n15\n16\n...\n5 OR MORE\n96\n96\n10\n6\n10\nYEAR STRUCTURE BUILT\n1950 TO MARCH 1960\n1 172\n1 075\n191\n98\n138\n170\n1940 TO 1949\n1 564\n1 470\n541\n243\n138\n176\n1939 OR EARLIER\n2 262\n2 078\n821\n476\n196\n55\nVALUE\nOWNER OCCUPIED\n2 485\n2 378\n645\n414\n273\n273\nLESS THAN $5,000\n934\n880\n323\n126\n95\n181\n55,000 TO $9,900\n1 192\n1 152\n275\n270\n133\n80\n$10,000 TO $14,900\n287\n274\n47\n18\n41\n12\n$15,000 TO $19,900\n51\n51\n...\n4\n...\n$20,000 TO $24,900\n13\n13\n...\n...\n$25,000 OR MORE\nB\n8\nMEDIAN.\nDOLLARS\n6 000\n6 000\n5 000-\n6 000\n6 000\n5 000-\nGROSS RENT\nRENTER OCCUPIED\n2 265\n2 105\n865\n371\n187\n121\nLESS THAN $20\n101\n80\n38\n5\n$20 TO $39\n784\n768\n423\n117\n39\n32\n$40 TO $59\n771\n751\n286\n182\n94\n33\n$60 TO $79\n316\n296\n71\n55\n32\n8\n$80 TO $99\n83\n71\n4\n4\n11\n12\n$100 OR MORE\n17\n17\n...\n...\n...\n...\nNO CASH RENT\n193\n122\n43\n8\n11\n36\nMEDIAN,\nDOLLARS\n44\n44\n38\n47\nReproduced at the National Archives\n78\nCENSUS INACIS IN THE AUSTIN SMSA\nINSET MAP - AUSTIN CITY AND ADJACENT AREA\n79\nFOSTER\n17\n/\n17\nCOLORADO\nPART\nPART\nCREEK\n15\n18\n5\nPART\nDR.HLAND\nLLANDALE\nRD.\nCOLORADO\nKOENIG\n1\nSHOAL\n2\nLAWAR BY/B\n290\nBULL\nCRE/EK\n35TH\nCREEK\nSORO\nSIS\nN\nHIRE\n3\nTOME\n29/11\n5\n16\nRIVER\nSAN\nWALLER\nJUN\nany\n21\nRD\n6\n4\nMANOR\nATERSTONISTN\nHIGH\nBLVD.\nJACINTO\n19TH\n7\nAIRPORT\n12\nCREEK\n12th\n8\n19\nIITH\nPART\nBARTON RD\n11\nEAST\nBLVD\nSNOWS\nMISSOURI-\nIKANSAS-TEXAS\n9\nR0.\n22\nRO\n19\nAVE\nREGIONAL\nIST\nPRINGDALE\nPART\nINTER.\nSCALE\nPART\n10COLORADO\nRIVER\n13\n0\n2500\n5000 FEET\n14\n230\nLIVE\nDEL\nOAK\n17\nPART\n20\n23\n24\nPART\nPART\nReproduced at the National Archives\nArea outside of city\nRECORDS AND ADMINISTRATION TWNOLLYN\nNational Archives and Records Administration\n8601 Adelphi Road\n1985\nCollege Park, Maryland 20740-6001\nTheodore J. Hull\nMay 5, 1999\nNN3-CFS-96-999\nDocumentation for the Census Tract Data, 1960:\nElizabeth Mullen Bogue File\nFollowing are three pages copied from a sample of records printed\nfrom the Census Tract Data, 1960: Elizabeth Mullen Bogue File, file\nfor Austin, Texas, created from the records as provided to the\nCenter for Electronic Records. Brown University transferred the\ndata to the National Archives in EBCDIC, IBM Standard labelled, on\n9-track, 6250 bpi open reel magnetic tapes. The files have\nvafiable length records. These files were preservation copied by\nthe National Archives on to 18-track, 37,871 bpi, 3480-class tape\ncartridges in EBCDIC, with IBM standard labels.\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\n80\nPS RECORD DUMP\nDate: 11/17/98\n54\n3620\n'ILE\n#1\nBLOCK\n#\n0\nRECORD\n#\n0\n\"435\n008\n11/14\n048\n212136\n105791\n106345\n18\n088\n6350\n20491\n5302\n212136\n184912\n26863\n361\n22646\n0C8\n1258\n251\n133\n1771\n3612\n423\n495\n168\n108\n130\n372\n418\n805\n9555\n3255\n192299\n59056\n4\n148\n8727\n10329\n42404\n65435\n21068\n4336\n19837\n43786\n4\n188\n2808\n15495\n26312\n25638\n20032\n24483\n73731\n60586\n1C8\n941\n397\n31773\n29566\n9590\n9147\n17026\n5406\n208\n7997\n14731\n10165\n17131\n22088\n14227\n15167\n74024\n4\n248\n9783\n5416\n7580\n42955\n3072\n5074\n54933\n38188\n1\n1288\n2613\n2520\n4010\n5647\n6006\n6002\n5623\n4669\n2C8\n3578\n2542\n1924\n4186\n1549\n771\n13255\n4436\n308\n2544\n1526\n939\n626\n325\n197\n140\n99\n348\n155\n62\n41\n105791\n12449\n10660\n9666\n9880\n1\n1388\n1588\n8167\n6545\n6624\n5776\n5581\n4994\n3993\n13C8\n3002\n2607\n1955\n1261\n643\n400\n0\n106345\n1\n408\n1763\n10392\n9025\n9673\n9978\n7090\n6736\n6803\n448\n6082\n6050\n5391\n4426\n3729\n3220\n2528\n1752\n488\n1012\n695\n0\n92875\n10702\n9080\n8265\n8783\n1\n14C8\n0697\n7277\n5772\n5882\n5167\n4918\n4329\n3475\n1508\n2639\n2214\n1704\n1971\n0\n92037\n10101\n8846\n548\n7709\n8492\n9007\n6124\n5789\n5909\n5290\n5244\n1588\n4673\n3762\n3185\n2735\n2170\n3001\n0\n12449\n2\n5C8\n0326\n9880\n56270\n6866\n11763\n19417\n9673\n56285\n1608\n9207\n74671\n25078\n45800\n880\n1937\n1856\n76642\n1\n648\n7240\n46778\n1304\n9107\n3517\n8422\n2714\n4851\n)688\n364\n436\n421\n10011\n2104\n5364\n651\n1611\n16C8\n932\n48478\n1864\n3097\n21620\n29331\n796\n21\n4\n708\n6448\n17300\n4557\n8053\n942\n6198\n4198\n3902\n748\n8161\n5478\n71\n4592\n617\n2990\n2918\n4764\n788\n40\n1216\n10507\n1809\n341\n1473\n2851\n4525\n17C8\n71\n79\n1655\n45700\n23106\n7982\n663\n401\n1808\n7149\n703\n297\n376\n216\n510\n1293\n76\n)848\n1869\n440\n288\n1017\n2421\n2392\n2314\n10334\n888\n1982\n3446\n3979\n2289\n10051\n5015\n8093\n10500\n5\n)8C8\n7984\n20\n0\n5627\n5875\n2561\n3239\n3917\n6\n1908\n6607\n7035\n197\n21\n97\n37\n110\n25\n)948\n27\n0\n24\n24\n4\n1284\n3731\n5112\n1\n)988\n0370\n2599\n3548\n3699\n8933\n26831\n6985\n65439\n6\n)9C8\n5439\n35688\n32012\n3676\n23368\n20047\n3321\n3150\n)A08\n1031\n2119\n3233\n52625\n8359\n4455\n50337\n957\n)A48\n1608\n5271\n1219\n1657\n4390\n45060\n11680\n8699\n24\n)A88\n8147\n2228\n3809\n8240\n16656\n18392\n10506\n3497\nAC8\n2111\n56528\n3545\n2076\n2003\n1287\n26059\n16143\n2\nB08\n3237\n16805\n18863\n3081\n18544\n43840\n506\n10887\n1\n)B48\n5147\n3807\n34511\n581\n3773\n10099\n7132\n6770\n)B88\n3968\n1985\n853\n1088\n4418\n6891\n4457\n3294\n)BC8\n1829\n1070\n590\n838\n23662\n13910\n13576\n7909\n2\n)C08\n5116\n13348\n15618\n4974\n9373\n8939\n17356\n8336\n2\n)C48\n5820\n11183\n1554\n3811\n4514\n5912\n5666\n4250\n)C88\n2332\n1634\n1656\n1266\n1014\n385\n1430\n2544\n0CC8\n2316\n2793\n2892\n2684\n2088\n1554\n1537\n803\n0D08\n323\n67\n928\n2443\n3311\n2656\n3222\n3096\n0D48\n2174\n1156\n918\n822\n474\n197\n1506\n56404\n0D88\n72\n64\n627\n61\n14005\n8669\n4807\n3107\n0DC8\n8678\n10629.\n2612\n129932\n80\n1388\n50286\n5477\n0E08\n431\n969\n37\n398\n81\nReproduced at the National Archives\nFILE #1\nBLOCK\n#\n0\nRECORD\n#\n1\n0E28\n11\nAPS RECORD DUMP\nDate: 11/17/98\n1D48\n3035\n2553\n482\n2245\n2772\n916\n123\n3284\n2312\n2269\n6\n1D88\n75\n1294\n1236\n950\n652\n3264\n2534\n32\n8\n1536\n1364\n1DC8\n590\n555\n415\n284\n680\n1332\n1079\n1295\n1585\n773\n932\n1E08\n5494\n2225\n119\n427\n2780\n79\n353\n2344\n2592\n615\n1E48\n67\n125\n225\n315\n373\n308\n314\n201\n153\n101\n277\n1E88\n73\n20\n230\n112\n120\n68\n76\n22\n8\n4\n0\n1EC8\n0\n4\n8\n0\n5933\n479\n442\n487\n450\n452\n3\n1F08\n77\n370\n391\n466\n466\n458\n351\n276\n170\n113\n106\n1F48\n52\n27\n338\n6442\n419\n411\n447\n438\n378\n312\n382\n1F88\n441\n488\n588\n513\n461\n417\n247\n204\n153\n76\n1FC8\n67\n399\n5540\n478\n440\n485\n438\n434\n350\n328\n351\n2008\n423\n423\n402\n313\n248\n153\n104\n170\n322\n5960\n417\n2048\n411\n446\n438\n370\n290\n347\n399\n437\n518\n450\n3\n2088\n95\n347\n226\n186\n283\n383\n479\n929\n450\n3607\n468\n20C8\n419\n858\n438\n3980\n747\n4624\n1582\n2692\n82\n118\n232\n2108\n5234\n1081\n3023\n172\n721\n409\n388\n212\n119\n36\n2148\n18\n39\n480\n124\n210\n80\n65\n81\n2463\n43\n35\n2188\n2083\n1666\n32\n0\n3536\n1039\n221\n474\n12\n289\n267\n21C8\n251\n533\n253\n0\n210\n0\n73\n101\n320\n0\n2208\n79\n661\n102\n16\n65\n64\n270\n0\n0\n89\n2080\n2248\n1596\n418\n35\n9\n412\n15\n20\n24\n16\n4\n28\n2288\n8\n114\n28\n16\n31\n169\n102\n109\n605\n104\n22C8\n81,\n160\n265\n603\n346\n451\n409\n3260\n0\n0\n178\n2308\n213\n145\n152\n167\n3739\n113\n12\n0\n4\n4\n4\n2348\n4\n12\n0\n8\n0\n0\n56\n159\n1468\n334\n2388\n89\n192\n1637\n300\n1252\n347\n3234\n3234\n1900\n1897\n3\n23C8\n1135\n1133\n2\n156\n36\n120\n43\n2824\n371\n39\n2784\n2408\n4\n13\n357\n12\n21\n43\n2636\n536\n62\n15506\n2448\n31\n76\n302\n828\n1215\n568\n137\n77\n3027\n111\n55\n2488\n12\n29\n979\n1159\n1096\n654\n1246\n55\n618\n2561\n15\n24C8\n380\n1117\n39\n1675\n8\n241\n641\n329\n338\n213\n2508\n78\n32\n28\n149\n367\n275\n196\n60\n72\n12\n4\n2548\n1328\n772\n720\n215\n1176\n665\n990\n204\n366\n457\n1077\n2588\n330\n1751\n855\n99\n72\n286\n545\n435\n197\n118\n25C8\n77\n68\n40\n9\n12\n8\n40\n73\n120\n198\n188\n2608\n155\n117\n105\n27\n15\n8\n12\n28\n70\n117\n244\n2648\n249\n167\n87\n58\n8\n11\n15\n69\n3234\n0\n2688\n0\n8\n0\n0\n0\n0\n0\n0\n0\n0\n6932\n26C8\n0\n0\n3014\n21\n0\n0\n0\n0\n96/256\nFILE #1 BLOCK # 0 RECORD # 3\n26FA\n55310004\n00040\n33509\n62291\n2\n110160 TRACT 4 AUST\n273A\nIN CITY\n0227100974319301706\n8474\n4272\n4202\n8474\n277A\n0\n0\n8474\n6950\n1502\n22\n857\n52\n56\n7\n169\n27BA\n189\n20\n8\n4\n4\n40\n20\n40\n91\n157\n7925\n27FA\n2771\n2154\n617\n1801\n2154\n859\n340\n549\n1784\n1771\n5\n283A\n65\n911\n1061\n713\n1495\n2347\n1882\n25\n13\n931\n855\n287A\n415\n391\n1306\n17\n231\n561\n396\n738\n910\n617\n856\n28BA\n3065\n1827\n87\n301\n2045\n125\n180\n1914\n1798\n548\n1\n28FA\n44\n171\n239\n311\n270\n267\n205\n157\n88\n92\n115\n293A\n33\n15\n771\n267\n130\n114\n57\n76\n26\n23\n13\n297A\n10\n0\n4\n0\n4272\n446\n312\n283\n410\n854\n4\n29BA\n01\n238\n208\n174\n225\n190\n152\n113\n97\n70\n53\n29FA\n31\n15\n240\n4202\n398\n296\n314\n321\n496\n290\n242\n2A3A\n229\n241\n264\n246\n211\n180\n146\n127\n88\n54\n2A7A\n59\n298\n3555\n361\n212\n204\n334\n808\n362\n195\n165\n2ABA\n132\n179\n152\n131\n95\n80\n60\n85\n241\n3395\n304\n2AFA\n223\n232\n274\n459\n226\n181\n176\n181\n220\n199\n1\n82\n2B3A\n77\n150\n108\n107\n178\n295\n446\n595\n410\n2555\n266\n2B7A\nenroduced\nat\nthe\nNational\nrchives\n399\n474\n3287\n1213\n1918\n27\n80\n76\n2BBA\n3240\n576\n1975\n60\n507\n182\n473\n152\n279\n14\n2BFA\n17\n25\n571\n82\n314\n33\n120\n55\n2108\n73\n110"
}