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    "localId": "639879",
    "label": "Oklahoma City, OK, 1950",
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    "contentType": "document",
    "title": "Oklahoma City, OK, 1950",
    "citationUrl": "https://catalog.archives.gov/id/639879",
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        "Census Tract Data Files"
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    "seq": 2,
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    "type": "document",
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    "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\nCOLLEGE PARK. MD 20740-6001\nReproduced at the National Archives\nwww.archives.gov\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\nRECCORDS ON'T ARCHITES ADMINISTRATION\n8601 Adelphi Road College Park, Maryland 20740-6001\n1985\nCensus Tract Data, 1950:\nElizabeth Mullen Bogue File\nDonated Historical Materials of\n, The Community and Family Study Center, University of Chicago\n(Record Group CFS)\nDocumentation Contents:\n# Pages\nIntroduction\n2\nNARA Prepared Record Layout -- City and Metro\nLevel Data\n7\nNARA Prepared Record Layout -- Tract Level Data\n7\nCFS Record Layout for Keypunching of\nthe Original Files\n9\n`United States Census of Population: 1950,\nCensus Tract Statistics, Austin Texas [1950\nPopulation Census Report, Vol. 3, No. 3; 1952]\n18\nSample Printout of First File in Series\n3\nNN3-CFS-96-999\nMay 5, 1999\n1\nNational Archives and Records Administration\nReproduced at the National Archives\nRECORDS AND ARCHIVES ADMINISTRATION TYNOLDIN\nNational Archives and Records Administration\n8601 Adelphi Road\nCollege Park, Maryland 20740-6001\n1985\nTheodore J. Hull\nApril 30, 1999\nNN3-CFS-96-999\nDOCUMENTATION FOR CENSUS TRACT DATA, 1950:\nELIZABETH MULLEN BOGUE FILE\nThe data files known as the Census Tract Data, 1950: 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 1950 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 287).\nThe 1950 census tract data reported in those publications were\nmanually keypunched by The Community and Family Study Center, under\nthe direction of Dr. Bogue. Much of this work was accomplished by\nElizabeth Mullen Bogue, the wife of the principle investigator, Ms.\nMaggie Gibson, and a number of other students and staff. Related\nfunding for this project (for analysis and student training) came\nfrom a number of sources including the National Science Foundation,\nNational Institute of Child Health and Human Development, U.S.\nAgency for International Development, and the Social Science\nDivision 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 1950 Census Tract\nData came to NARA in November 1998, along with a copy of the\noriginal documentation.\nThe documentation indicates that the data were originally keypunched\nonto multiple punchcards for the city/metro area as a whole and for\neach tract. NARA received 59 files, one per available tracted city,\nwith variable length records. There are two record types in each\nfile; a 'city and metro level' record type with a record length of\n2058 and a 'tract level' record type with a record length of 1261.\nDr. White confirmed that at some point in time the original 80\ncolumn records were concatenated into one long record per area.\nNote that the first eight bytes in each block/record is a binary\nblock length/record counter. NARA prepared record layouts for each\nrecord type based on the original documentation and a review of the\nCensus Tract publications for Austin, Texas. A copy of the Austin\nreport is included as part of the technical documentation.\n2\nThe first two records in each file are for the 'city and metro\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\nlevel' data and the remainder of the records in the file contain\n'tract level' data, arranged numerically by tract. Each file has\ntwo records at the beginning of each file; a 'metro level' record\nfollowed by a 'city level' record. When applicable, the 'metro\nlevel' record incorporates data tabulated for suburban tracts. In\ncities without suburban tracts, both a 'metro level' record and\n'city level' record are included in the file, but the data are\nidentical. The 'metro level' and 'city level' records are\ndistinguished by the characters METR and CITY in columns 64-68 of\nthe records.\nDocumentation for the 1950 Census Tract files consist of this\nintroduction, NARA produced record layouts for the 'city and metro\nlevel' and 'tract level' record types, the original documentation\nfor the keypunched files, and a NARA produced sample printout of\nrecords from the file for Austin, Texas, and a copy of the\npublication 'Census Tract Statistics, Austin, Texas'. The 'Census\nTract Statistics, Austin, Texas' document includes a list of all\ntracted cities and indicates those that include surrounding suburban\ntracts as 'metro' areas. NARA did not receive from the donor, most\nsignificantly, files for Honolulu, New York, Los Angeles, San\nFrancisco-Oakland, and Minneapolis-St. Paul. Apparently those\ncensus tract data were never converted to an electronic form.\nA copy of a sample census tract publication is included so that the\nresearcher can cross-check the data element titles and relationships\nbetween items presented in the original publication. In the process\nof preparing the NARA record layouts, NARA staff checked as closely\nas possible the data element titles and locations in the electronic\nrecords. Some discrepancies in the data values between the\npublication and the data file were noted, especially in calculated\nvalues (i.e. median income, median rent). Researchers should be\naware that, because of the complexity involved in its preparation,\nthere may be instances where the NARA prepared record layout may be\nin error. The donor could not supply a record layout that matched\nthe 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. the\nblocksize/record length counter) will not be converted. Therefore,\nthe actual record length and data element positions will be eight\ncharacters less than that indicated in the NARA prepared record\nlayout. A general rule however is that, following the FILE/RECORD\nTITLE and NUMBER OF TRACTS fields in the 'city/metro area' records,\neach data element is eight characters in length. In the 'tract'\nlevel data, following the TRACT ID and TRACT SEQUENCE NUMBER fields,\neach data element is five characters in length.\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,\n3\nwhich also identify the tract areas for the tracted cities.\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\n1950 CENSUS TRACT DATA\n-LAYOUT FOR CITY AND METRO LEVEL DATA\nBLOCKSIZE/RECORD LENGTH COUNTER\n1-8\nFILE/RECORD TITLE\n9-68\nNUMBER OF TRACTS\n69-74\nGENERAL CHARACTERISTICS OF THE POPULATION\nCARD 1, FIELD 1\nTOTAL POPULATION\n75-82\nCARD 1, FIELD 2\nTOTAL WHITE POPULATION\n83-90\nCARD 1, FIELD 3\nTOTAL NEGRO POPULATION\n91-98\nCARD 1, FIELD 4\nTOTAL OTHER NONWHITE POPULATION\n99-106\nCARD 1, FIELD 5\nNUMBER OF HOUSEHOLDS\n107-114\nCARD 1, FIELD 6\nPOPULATION IN HOUSEHOLDS\n115-122\nCARD 1, FIELD 7\nPOPULATION PER HOUSEHOLD\n123-130\nCARD 1, FIELD 8\nINSTITUTIONAL POPULATION\n131-138\nSOURCE TABLE 1, COUNTRY O BIRTH OF FOREIGN BORN WHITE (MALES)\nCARD 2, FIELD 1\nFOREIGN BORN\n139-146\nCARD 2, FIELD 2\nENGLAND AND WALES\n147-154\nCARD 2, FIELD 3\nSCOTLAND\n155-162\nCARD 2, FIELD 4\nNORTHERN IRELAND\n163-170\nCARD 2, FIELD 5\nEIRE\n171-178\nCARD 2, FIELD 6\nNORWAY\n179-186\nCARD 2, FIELD 7\nSWEDEN\n187-194\nCARD 2, FIELD 8\nDENMARK\n195-202\nCARD 2, FIELD 9\nNETHERLANDS\n203-210\nCARD 2, FIELD 10\nFRANCE\n211-218\nCARD 2, FIELD 11\nGERAMNY\n219-226\nCARD 2, FIELD 12\nPOLAND\n227-234\nCARD 2, FIELD 13\nCZECHOSLOVAKIA\n235-242\nCARD 2, FIELD 14\nAUSTRIA\n243-250\nCARD 2, FIELD 15\nHUNGARY\n251-258\nCARD 3, FIELD 1\nYUGOSLAVIA\n259-266\nCARD 3, FIELD 2\nU.S.S.R.\n267-274\nCARD 3, FIELD 3\nLITHUANIA\n275-282\nCARD 3, FIELD 4\nFINLAND\n283-290\nCARD 3, FIELD 5\nROMANIA\n291-298\nCARD 3, FIELD 6\nGREECE\n299-306\nCARD 3, FIELD 7\nITALY\n307-314\nCARD 3, FIELD 8\nOTHER EUROPE\n315-322\nCARD 3, FIELD 9\nASIA\n323-330\nCARD 3, FIELD 10\nCANADA-FRENCH\n331-338\nCARD 3, FIELD 11\nCANADA-OTHER\n339-346\nCARD 3, FIELD 12\nMEXICO\n347-354\nCARD 3, FIELD 13\nOTHER AMERICA\n355-362\nCARD 3, FIELD 14\nALL OTHER NOT REPORTED\n363-370\n4\nReproduced at the National Archives\nSOURCE TABLE 1, MARRIED COUPLES AND HOUSEHOLDS\nCARD 4, FIELD 1\nMARRIED COUPLES NUMBER\n371-378\nCARD 4, FIELD 2\nUNRELATED INDIVIDUALS\n379-386\nSOURCE TABLE 1, YEARS OF SCHOOL COMPLETED (Persons 25yrs + over)\nCARD 5, FIELD 1\nPERSONS 25 YRS AND OVER\n387-394\nCARD 5, FIELD 2\nNO SCHOOL YEARS COMPLETED\n395-402\nCARD 5, FIELD 3\nELEMENTARY 1-4\n403-410\nCARD 5, FIELD 4\nELEMENTARY 5-6\n411-418\nCARD 5, FIELD 5\nELEMENTARY 7\n419-426\nCARD 5, FIELD 6\nELEMENTARY 8\n427-434\nCARD 5, FIELD 7\nHIGH SCHOOL 1-3\n435-442\nCARD 5, FIELD 8\nHIGH SCHOOL 4\n443-450\nCARD 5, FIELD 9\nCOLLEGE 1-3\n451-458\nCARD 5, FIELD 10\nCOLLEGE 4 OR MORE\n459-466\nCARD 5,' FIELD 11\nNOT REPORTED\n467-474\nCARD 5, FIELD 12\nMEDIAN YRS.; NO DECIMAL\n475-482\nSOURCE TABLE 1, INCOME IN 1950\nCARD 6, FIELD 1\nTOTAL FAMILIES + Unrelated Individuals\n483-490\nCARD 6, FIELD 2\nINCOME LESS THAN $500\n491-498\nCARD 6, FIELD 3\n$500-$999\n499-506\nCARD 6, FIELD 4\n$1000-$1499\n507-514\nCARD 6, FIELD 5\n$1500-$1999\n515-522\nCARD 6, FIELD 6\n$2000-$2499\n523-530\nCARD 6, FIELD 7\n$2500-$2999\n531-538\nCARD 6, FIELD 8\n$3000-$3499\n539-546\nCARD 6, FIELD 9\n$3500-$3999\n547-554\nCARD 6, FIELD 10\n$4000-$4499\n555-562\nCARD 6, FIELD 11\n$4500-$4999\n563-570\nCARD 6, FIELD 12\n$5000-$5999\n571-578\nCARD 6, FIELD 13\n$6000-$6999\n579-586\nCARD 6, FIELD 14\n$7000-$9999\n587-594\nCARD 6, FIELD 15\n$10000 OR MORE\n595-602\nCARD 7, FIELD 1\nINCOME NOT REPORTED\n603-610\nCARD 7, FIELD 2\nEDIAN INCOME\n611-618\nSOURCE TABLE 2, AGE - MALES\nCARD 8, FIELD 1\nTOTAL - ALL MALES\n619-626\nCARD 8, FIELD 2\nUNDER 5YRS OLD\n627-634\nCARD 8, FIELD 3\n5-9\n635-642\n5\nReproduced at the National Archives\nCARD 8, FIELD 4\n10-14\n643-650\nCARD 8, FIELD 5\n15-19\n651-658\nCARD 8, FIELD 6\n20-24\n659-666\nCARD 8, FIELD 7\n25-29\n667-674\nCARD 8, FIELD 8\n30-34\n675-682\nCARD 8, FIELD 9\n35-39\n683-690\nCARD 8, FIELD 10\n40-44\n691-698\nCARD 8, FIELD 11\n45-49\n699-706\nCARD 8, FIELD 12\n50-54\n707-714\nCARD 8, FIELD 13\n55-59\n715-722\nCARD 9, FIELD 1\n60-64\n723-730\nCARD 9, FIELD 2\n65-69\n731-738\nCARD 9, FIELD 3\n70-74\n739-746\nCARD 9, FIELD 4\n75-84\n747-754\nCARD 9, FIELD 5\n85 AND OVER\n755-762\nSOURCE TABLE 2, AGE - FEMALES\nCARD 10, FIELD 1\nTOTAL - ALL FEMALES\n763-770\nCARD 10, FIELD 2\nUNDER 5 YRS OLD\n771-778\nCARD 10, FIELD 3\n5-9\n779-786\nCARD 10, FIELD 4\n10-14\n787-794\nCARD 10, FIELD 5\n15-19\n795-802\nCARD 10, FIELD 6\n20-24\n803-810\nCARD 10, FIELD 7\n25-29\n811-818\nCARD 10, FIELD 8\n30-34\n819-826\nCARD 10, FIELD 9\n35-39\n827-834\nCARD 10, FIELD 10\n40-44\n835-842\nCARD 10, FIELD 11\n45-49\n843-850\nCARD 10, FIELD 12\n50-54\n851-858\nCARD 10, FIELD 13\n55-59\n859-866\nCARD 11, FIELD 1\n60-64\n867-874\nCARD 11, FIELD 2\n65-69\n875-882\nCARD 11, FIELD 3\n70-74\n883-890\nCARD 11, FIELD 4\n75-84\n891-898\nCARD 11, FIELD 5\n85 AND OVER\n899-906\nSOURCE TABLE 2, AGE - WHITE MALES\nCARD 12, FIELD 1\nTOTAL - WHITE MALES\n907-914\nCARD 12, FIELD 2\nUNDER 5 YRS OLD\n915-922\nCARD 12, FIELD 3\n5-9\n923-930\nCARD 12, FIELD 4\n10-14\n931-938\nCARD 12, FIELD 5\n15-19\n939-946\nCARD 12, FIELD 6\n20-24\n947-954\nCARD 12, FIELD 7\n25-29\n955-962\nCARD 12, FIELD 8\n30-34\n963-970\nCARD 12, FIELD 9\n35-39\n971-978\n6\nReproduced at the National Archives\nCARD 12, FIELD 10\n40-44\n979-986\nCARD 12, FIELD 11\n45-49\n987-994\nCARD 12, FIELD 12\n50-54\n995-1002\nCARD 12, FIELD 13\n55-59\n1003-1010\nCARD 13, FIELD 1\n60-64\n1011-1018\nCARD 13, FIELD 2\n65-69\n1019-1026\nCARD 13, FIELD 3\n70-74\n1027-1034\nCARD 13, FIELD 4\n75 AND OVER\n1035-1042\nSOURCE TABLE 2, AGE - WHITE FEMALES\nCARD 14, FIELD 1\nTOTAL - WHITE FEMALES\n1043-1050\nCARD 14, FIELD 2\nUNDER 5 YRS OLD\n1051-1058\nCARD 14, FIELD 3\n5-9\n1059-1066\nCARD 14, FIELD 4\n10-14\n1067-1074\nCARD 14, FIELD 5\n15-19\n1075-1082\nCARD 14, FIELD 6\n20-24\n1083-1090\nCARD 14, FIELD 7\n25-29\n1091-1098\nCARD 14, FIELD 8\n30-34\n1099-1106\nCARD 14, FIELD 9\n35-39\n1107-1114\nCARD 14, FIELD 10\n40-44\n1115-1122\nCARD 14, FIELD 11\n45-49\n1123-1130\nCARD 14, FIELD 12\n50-54\n1131-1138\nCARD 14, FIELD 13\n55-59\n1139-1146\nCARD 15, FIELD 1\n60-64\n1147-1154\nCARD 15, FIELD 2\n65-69\n1155-1162\nCARD 15, FIELD 3\n70-74\n1163-1170\nCARD 15, FIELD 4\n75 AND OVER\n1171-1178\nSOURCE TABLE 2, MARITAL STATUS - MALES\nCARD 16, FIELD 1\nMALES 14 YRS AND OVER\n1179-1186\nCARD 16, FIELD 2\nSINGLE\n1187-1194\nCARD 16, FIELD 3\nMARRIED(INCLUDES SEPARATED AS IN '60, B 1195-1202\nCARD 16, FIELD 4\nWIDOWED OR DIVORCED(DISTINCT IN '60)\n1203-1210\nSOURCE TABLE 2, MARITAL STATUS - FEMALES\nCARD 17, FIELD 1\nFEMALES 14 YRS AND OVER\n1211-1218\nCARD 17, FIELD 2\nSINGLE\n1219-1226\nCARD 17, FIELD 3\nMARRIED(INCLUDED SEPARATED AS IN '60, B 1227-1234\nCARD 17, FIELD 4\nWIDOWED OR DIVORCED(DISTINCT IN '60)\n1235-1242\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - MALES\nCARD 18, FIELD 1\nMALES 14 YRS AND OVER\n1243-1250\n7\nReproduced at the National Archives\nCARD 18, FIELD 2\nLABOR FORCE\n1251-1258\nCARD 18, FIELD 3\nCIVILIAN LABOR FORCE\n1259-1266\nCARD 18, FIELD 4\nEMPLOYED\n1267-1274\nCARD 18, FIELD 5\nPRIVATE WAGE AND SALARY\n1275-1282\nCARD 18, FIELD 6\nGOVERNMENT\n1283-1290\nCARD 18, FIELD 7\nSELF-EMPLOYED\n1291-1298\nCARD 18, FIELD 8\nUNPAID FAMILY WORKERS\n1299-1306\nCARD 18, FIELD 9\nUNEMPLOYED\n1307-1314\nCARD 18, FIELD 10\nNOT IN THE LABOR FORCE\n1315-1322\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - FEMALES\nCARD 19, FIELD 1\nFEMALES 14 YRS AND OVER\n1323-1330\nCARD 19, FIELD 2\nLABOR FORCE\n1331-1338\nCARD 19, FIELD 3\nCIVILIAN LABOR FORCE\n1339-1346\nCARD 19, FIELD 4\nEMPLOYED\n1347-1354\nCARD 19, FIELD 5\nPRIVATE WAGE AND SALARY\n1355-1362\nCARD 19, FIELD 6\nGOVERNMENT\n1363-1370\nCARD 19, FIELD 7\nSELD-EMPLOYED\n1371-1378\nCARD 19, FIELD 8\nUNPAID FAMILY WORKERS\n1379-1386\nCARD 19, FIELD 9\nUNEMPLOYED\n1387-1394\nCARD 19, FIELD 10\nNOT IN LABOR FORCE\n1395-1402\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - MALES\nCARD 20, FIELD 1\nPROFESSIONAL, TECHNICAL, AND KINDRED 1403-1410\nCARD 20, FIELD 2\nMANAGERS, OFFICIALS, AND PROPS., INCL.\n1411-1418\nCARD 20, FIELD 3\nCLERICAL AND KINDRED WORKERS\n1419-1426\nCARD 20, FIELD 4\nSALES WORKER\n1427-1434\nCARD 20, FIELD 5\nCRAFTSMEN, FOREMEN, AND KINDRED WOR 1435-1442\nCARD 20, FIELD 6\nOPERATIVES AND KINDRED WORKERS\n1443-1450\nCARD 20, FIELD 7\nPRIVATE HOUSEHOLD WORKER\n1451-1458\nCARD 20, FIELD 8\nSERVICE WORKERS EXCEPT PRIVATE HOUS 1459-1466\nCARD 20, FIELD 9\nLABORERS, EXCEPT FOR MINE\n1467-1474\nCARD 20, FIELD 10\nOCCUPATION NOT REPORTED\n1475-1482\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - FEMALES\nCARD 21, FIELD 1\nPROFESSIONAL, TECHNICAL, AND KINDRED 1483-1490\nCARD 21, FIELD 2\nMANAGERS, OFFICALS, AND PROPS., INCL. F 1491-1498\nCARD 21, FIELD 3\nCLERICAL AND KINDRED WORKERS\n1499-1506\nCARD 21, FIELD 4\nSALES WORKERS\n1507-1514\nCARD 21, FIELD 5\nCRAFTSMEN, FOREMEN, AND KINDRED WOR 1515-1522\nCARD 21, FIELD 6\nOPERATIVES AND KINDRED WORKERS\n1523-1530\nCARD 21, FIELD 7\nPRIVATE HOUSEHOLD WORKER\n1531-1538\nCARD 21, FIELD 8\nSERVICE WORKERS EXCEPT PRIVATE HOUS 1539-1546\nCARD 21, FIELD 9\nLABORS, EXCEPT MINE\n1547-1554\n8\nReproduced at the National Archives\nCARD 21, FIELD 10\nOCCUPATION NOT REPORTED\n1555-1562\nSOURCE TABLE 3\nCHARACTERISTICS oF DWELLING UN RS\nCARD 22, FIELD 1\nALL DWELLING UNITS\n1563-1570\nCARD 22, FIELD 2\nOWNER OCCUPIED\n1571-1578\nCARD 22, FIELD 3\nNON-WHITE OWNER\n1579-1586\nCARD 22, FIELD 4\nRENTER OCCUPIED\n1587-1594\nCARD 22, FIELD 5\nNON-WHITE RENTER\n1595-1602\nCARD 22, FIELD 6\nVACANT NONSEASONAL, ETC.\n1603-1610\nCARD 22, FIELD 7\nOTHER VACANT\n1611-1618\nSOURCE TABLE 3, TYPE OF STRUCTURE\nCARD 22, FIELD 8\n1 UNIT DETACHED\n1619-1626\nCARD 22, FIELD 9\n1 UNIT ATTACHED\n1627-1634\nCARD 22, FIELD 10\n1 AND 2 UNITS SEMI-DETACHED\n1635-1642\nCARD 22, FIELD 11\n2 UNITS OTHER\n1643-1650\nCARD 22, FIELD 12\n3 AND 4 UNITS\n1651-1658\nCARD 22, FIELD 13\n5 UNITS AND MORE\n1659-1666\nSOURCE TABLE 3, YEAR BUILT\nCARD 23, FIELD 1\nNUMBER REPORTING - YEAR BUILT\n1667-1674\nCARD 23, FIELD 2\n1940 OR LATER\n1675-1682\nCARD 23, FIELD 3\n1930-1939\n1683-1690\nCARD 23, FIELD 4\n1920-1929\n1691-1698\nCARD 23, FIELD 5\n1919 OR EARLIER\n1699-1706\nCARD 23, FIELD 6\nALL OCCUPIED UNITS\n1707-1714\nSOURCE TABLE 3, NUMBER OF PERSONS IN DWELLING UNIT\nCARD 23, FIELD 7\n1 PERSON\n1715-1722\nCARD 23, FIELD 8\n2 PERSONS\n1723-1730\nCARD 23, FIELD 9\n3 PERSONS\n1731-1738\nCARD 23, FIELD 10\n4 PERSONS\n1739-1746\nCARD 23, FIELD 11\n5 AND 6 PERSONS\n1747-1754\nCARD 23, FIELD 12\n7 OR MORE PERSONS\n1755-1762\nCARD 23, FIELD 13\nNUMBER REPORTING PERSONS PER ROOM 1763-1770\nSOURCE TABLE 3, PERSONS PER ROOM\nCARD 23, FIELD 14\n1.01 OR MORE\n1771-1778\nSOURCE TABLE 3, CONTRACT MONTHLY RENT\nCARD 24, FIELD 1\nUNITS REPORTING MONTHLY CONTRACT RE 1779-1786\nCARD 24, FIELD 2\nLESS THAN $10\n1787-1794\nCARD 24, FIELD 3\n$10-$19\n1795-1802\nCARD 24, FIELD 4\n1803-1810\n9\n$20-$29\nReproduced at the National Archives\nCARD 24, FIELD 5\n$30-$39\n1811-1818\nCARD 24, FIELD 6\n$40-$49\n1819-1826\nCARD 24, FIELD 7\n$50-$59\n1827-1834\nCARD 24, FIELD 8\n$60-$74\n1835-1842\nCARD 24, FIELD 9\n$75-$99\n1843-1850\nCARD 24, FIELD 10\n$100 AND OVER\n1851-1858\nCARD 24, FIELD 11\nMEDIAN CONTRACT RENT\n1859-1866\nSOURCE TABLE 3, VALUE OF ONE-DWELLING-UNIT STRUCTURES\nCARD 25, FIELD 1\nNUMBER REPORTING VALUE OF HOME\n1867-1874\nCARD 25, FIELD 2\nLESS THAN $3000\n1875-1882\nCARD 25, FIELD 3\n$3000-$3999\n1883-1890\nCARD 25, FIELD 4\n$4000-$4999\n1891-1898\nCARD 25, FIELD 5\n$5000-$7499\n1899-1906\nCARD 25, FIELD 6\n$7500-$9999\n1907-1914\nCARD 25, FIELD 7\n$10000-$14999\n1915-1922\nCARD 25, FIELD 8\n$15000 +\n1923-1930\nCARD 25, FIELD 9\nMEDIAN VALUE\n1931-1938\nSOURCE TABLE 1, RESIDENCE IN 1950\n1939-1946\nCARD 25, FIELD 10\nPERSONS 1 YR+\n1947-1954\nCARD 25, FIELD 11\nSAME HOUSE\n1955-1962\nCARD 25, FIELD 12\nDIFFERENT HOUSE\n1963-1970\nCARD 25, FIELD 13\nDIFFERENT COUNTY\n1971-1978\nCARD 25, FIELD 14\nNOT REPORTED\n1979-1986\nSOURCE TABLE 3, CONDITION AND PLUMBING FACILITIES\nCARD 26, FIELD 1\nNUMBER REPORTING\n1987-1994\nCARD 26, FIELD 2\nNO PRIVATE BATHS\n1995-2002\nCARD 26, FIELD 3\nNO RUNNING WATER\n2003-2010\nSOURCE TABLE 3, HEATING FUEL\nCARD 26, FIELD 4\nNUMBER REPORTING - HEATING FUEL\nCARD 26, FIELD 5\nCENTRAL HEATING\n2011-2018\nCARD 26, FIELD 6\nNON-CENTRAL HEATING\n2019-2026\nCARD 26, FIELD 7\nNO HEAT\n2027-2034\nSOURCE TABLE 3, REFRIGERATION AND TELEVISION\nCARD 26, FIELD 8\nREFRIGERATION - MECHANICAL\n2035-2042\nCARD 26, FIELD 9\nREFRIGERATION - ICE\n2043-2050\nCARD 26, FIELD 10\nWITH TELEVISION\n2051-2058\n10\nReproduced at the National Archives\n1950 CENSUS TRACT DATA\nLAYOUT FOR CENSUS TRACT LEVEL DATA\nBLOCKSIZE/RECORD LENGTH COUNTER\n1-8\nTRACT ID\n9-16\nTRACT SEQUENCE NUMBER\n17-21\nGENERAL CHARACTERISTICS OF THE POPULATION\nCARD 1, FIELD 1\nTOTAL POPULATION\n22-26\nCARD 1, FIELD 2\nTOTAL WHITE POPULATION\n27-31\nCARD 1, FIELD 3\nTOTAL NEGRO POPULATION\n32-36\nCARD 1, FIELD 4\nTOTAL OTHER NONWHITE POPULATION\n37-41\nCARD 1, FIELD 5\nNUMBER OF HOUSEHOLDS\n42-46\nCARD 1, FIELD 6\nPOPULATION IN HOUSEHOLDS\n47-51\nCARD 1, FIELD 7\nPOPULATION PER HOUSEHOLD\n52-56\nCARD 1, FIELD 8\nINSTITUTIONAL POPULATION\n57-61\nSOURCE TABLE 1, COUNTRY O BIRTH OF FOREIGN BORN WHITE (MALES)\nCARD 2, FIELD 1\nFOREIGN BORN\n62-66\nCARD 2, FIELD 2\nENGLAND AND WALES\n67-71\nCARD 2, FIELD 3\nSCOTLAND\n72-76\nCARD 2, FIELD 4\nNORTHERN IRELAND\n77-81\nCARD 2, FIELD 5\nEIRE\n82-86\nCARD 2, FIELD 6\nNORWAY\n87-91\nCARD 2, FIELD 7\nSWEDEN\n92-96\nCARD 2, FIELD 8\nDENMARK\n97-101\nCARD 2, FIELD 9\nNETHERLAMDS\n102-106\nCARD 2, FIELD 10\nFRANCE\n107-111\nCARD 2, FIELD 11\nGERAMNY\n112-116\nCARD 2, FIELD 12\nPOLAND\n117-121\nCARD 2, FIELD 13\nCZECHOSLOVAKIA\n122-126\nCARD 2, FIELD 14\nAUSTRIA\n127-131\nCARD 2, FIELD 15\nHUNGARY\n132-136\nCARD 3, FIELD 1\nYUGOSLAVIA\n137-141\nCARD 3, FIELD 2\nU.S.S.R.\n142-146\nCARD 3, FIELD 3\nLITHUANIA\n147-151\nCARD 3, FIELD 4\nFINLAND\n152-156\nCARD 3, FIELD 5\nROMANIA\n157-161\nCARD 3, FIELD 6\nGREECE\n162-166\nCARD 3, FIELD 7\nITALY\n167-171\nCARD 3, FIELD 8\nOTHER EUROPE\n172-176\nCARD 3, FIELD 9\nASIA\n177-181\nCARD 3, FIELD 10\nCANADA-FRENCH\n182-186\nCARD 3, FIELD 11\nCANADA-OTHER\n187-191\nCARD 3, FIELD 12\nMEXICO\n192-196\nCARD 3, FIELD 13\nOTHER AMERICA\n197-201\nCARD 3, FIELD 14\nALL OTHER NOT REPORTED\n202-206\n11\nReproduced at the National Archives\nSOURCE TABLE 1, MARRIED COUPLES AND HOUSEHOLDS\nCARD 4, FIELD 1\nMARRIED COUPLES NUMBER\n207-211\nCARD 4, FIELD 2\nUNRELATED INDIVIDUALS\n212-216\nSOURCE TABLE 1, YEARS OF SCHOOL COMPLETED\nCARD 5, FIELD 1\nPERSONS 25 YRS AND OVER\n217-221\nCARD 5, FIELD 2\nNO SCHOOL YEARS COMPLETED\n222-226\nCARD 5, FIELD 3\nELEMENTARY 1-4\n227-231\nCARD 5, FIELD 4\nELEMENTARY 5-6\n232-236\nCARD 5, FIELD 5\nELEMENTARY 7\n237-241\nCARD 5, FIELD 6\nELEMENTARY 8\n242-246\nCARD 5, FIELD 7\nHIGH SCHOOL 1-3\n247-251\nCARD 5, FIELD 8\nHIGH SCHOOL 4\n252-256\nCARD 5, FIELD 9\nCOLLEGE 1-3\n257-261\nCARD 5, FIELD 10\nCOLLEGE 4 OR MORE\n262-266\nCARD 5,1 FIELD 11\nNOT REPORTED\n267-271\nCARD 5, FIELD 12\nMEDIAN YRS.; NO DECIMAL\n272-276\nSOURCE TABLE 1, INCOME IN 1950\nCARD 6, FIELD 1\nTOTAL FAMILIES\n277-281\nCARD 6, FIELD 2\nINCOME LESS THAN $500\n282-286\nCARD 6, FIELD 3\n$500-$999\n287-291\nCARD 6, FIELD 4\n$1000-$1499\n292-296\nCARD 6, FIELD 5\n$1500-$1999\n297-301\nCARD 6, FIELD 6\n$2000-$2499\n302-306\nCARD 6, FIELD 7\n$2500-$2999\n307-311\nCARD 6, FIELD 8\n$3000-$3499\n312-316\nCARD 6, FIELD 9\n$3500-$3999\n317-321\nCARD 6, FIELD 10\n$4000-$4499\n322-326\nCARD 6, FIELD 11\n$4500-$4999\n327-331\nCARD 6, FIELD 12\n$5000-$5999\n332-336\nCARD 6, FIELD 13\n$6000-$6999\n337-341\nCARD 6, FIELD 14\n$7000-$9999\n342-346\nCARD 6, FIELD 15\n$10000 OR MORE\n347-351\nCARD 7, FIELD 1\nINCOME NOT REPORTED\n352-356\nCARD 7, FIELD 2\nNEDIAN INCOME\n357-361\nSOURCE TABLE 2, AGE - MALES\nCARD 8, FIELD 1\nTOTAL - ALL MALES\n362-366\nCARD 8, FIELD 2\nUNDER 5YRS OLD\n367-371\nCARD 8, FIELD 3\n5-9\n372-376\n12\nReproduced at the National Archives\nCARD 8, FIELD 4\n10-14\n377-381\nCARD 8, FIELD 5\n15-19\n382-386\nCARD 8, FIELD 6\n20-24\n387-391\nCARD 8, FIELD 7\n25-29\n392-396\nCARD 8, FIELD 8\n30-34\n397-401\nCARD 8, FIELD 9\n35-39\n402-406\nCARD 8, FIELD 10\n40-44\n407-411\nCARD 8, FIELD 11\n45-49\n412-416\nCARD 8, FIELD 12\n50-54\n417-421\nCARD 8, FIELD 13\n55-59\n422-426\nCARD 9, FIELD 1\n60-64\n427-431\nCARD 9, FIELD 2\n65-69\n432-436\nCARD 9, FIELD 3\n70-74\n437-441\nCARD 9, FIELD 4\n75-84\n442-446\nCARD 9, FIELD 5\n85 AND OVER\n447-451\nSOURCE TABLE 2, AGE - FEMALES\nCARD 10, FIELD 1\nTOTAL - ALL FEMALES\n452-456\nCARD 10, FIELD 2\nUNDER 5 YRS OLD\n457-461\nCARD 10, FIELD 3\n5-9\n462-466\nCARD 10, FIELD 4\n10-14\n467-471\nCARD 10, FIELD 5\n15-19\n472-476\nCARD 10, FIELD 6\n20-24\n477-481\nCARD 10, FIELD 7\n25-29\n482-486\nCARD 10, FIELD 8\n30-34\n487-491\nCARD 10, FIELD 9\n35-39\n492-496\nCARD 10, FIELD 10\n40-44\n497-501\nCARD 10, FIELD 11\n45-49\n502-506\nCARD 10, FIELD 12\n50-54\n507-511\nCARD 10, FIELD 13\n55-59\n512-516\nCARD 11, FIELD 1\n60-64\n517-521\nCARD 11, FIELD 2\n65-69\n522-526\nCARD 11, FIELD 3\n70-74\n527-531\nCARD 11, FIELD 4\n75-84\n532-536\nCARD 11, FIELD 5\n85 AND OVER\n537-541\nSOURCE TABLE 2, AGE - WHITE MALES\nCARD 12, FIELD 1\nTOTAL - WHITE MALES\n542-546\nCARD 12, FIELD 2\nUNDER 5 YRS OLD\n547-551\nCARD 12, FIELD 3\n5-9\n552-556\nCARD 12, FIELD 4\n10-14\n557-561\nCARD 12, FIELD 5\n15-19\n562-566\nCARD 12, FIELD 6\n20-24\n567-571\nCARD 12, FIELD 7\n25-29\n572-576\nCARD 12, FIELD 8\n30-34\n577-581\nCARD 12, FIELD 9\n35-39\n582-586\n13\nReproduced at the National Archives\nCARD 12, FIELD 10\n40-44\n587-591\nCARD 12, FIELD 11\n45-49\n592-596\nCARD 12, FIELD 12\n50-54\n597-601\nCARD 12, FIELD 13\n55-59\n602-606\nCARD 13, FIELD 1\n60-64\n607-611\nCARD 13, FIELD 2\n65-69\n612-616\nCARD 13, FIELD 3\n70-74\n617-621\nCARD 13, FIELD 4\n75 AND OVER\n622-626\nSOURCE TABLE 2, AGE - WHITE FEMALES\nCARD 14, FIELD 1\nTOTAL - WHITE FEMALES\n627-631\nCARD 14, FIELD 2\nUNDER 5 YRS OLD\n632-636\nCARD 14, FIELD 3\n5-9\n637-641\nCARD 14, FIELD 4\n10-14\n642-646\nCARD 14, FIELD 5\n15-19\n647-651\nCARD 14, FIELD 6\n20-24\n652-656\nCARD 14, FIELD 7\n25-29\n657-661\nCARD 14, FIELD 8\n30-34\n662-666\nCARD 14, FIELD 9\n35-39\n667-671\nCARD 14, FIELD 10\n40-44\n672-676\nCARD 14, FIELD 11\n45-49\n677-681\nCARD 14, FIELD 12\n50-54\n682-686\nCARD 14, FIELD 13\n55-59\n687-691\nCARD 15, FIELD 1\n60-64\n692-696\nCARD 15, FIELD 2\n65-69\n697-701\nCARD 15, FIELD 3\n70-74\n702-706\nCARD 15, FIELD 4\n75 AND OVER\n707-711\nSOURCE TABLE 2, MARITAL STATUS - MALES\nCARD 16, FIELD 1\nMALES 14 YRS AND OVER\n712-716\nCARD 16, FIELD 2\nSINGLE\n717-721\nCARD 16, FIELD 3\nMARRIED(INCLUDES SEPARATED AS IN '60, B 722-726\nCARD 16, FIELD 4\nWIDOWED OR DIVORCED(DISTINCT IN '60)\n727-731\nSOURCE TABLE 2, MARITAL STATUS - FEMALES\nCARD 17, FIELD 1\nFEMALES 14 YRS AND OVER\n732-736\nCARD 17, FIELD 2\nSINGLE\n737-741\nCARD 17, FIELD 3\nMARRIED(INCLUDED SEPARATED AS IN '60, B 742-746\nCARD 17, FIELD 4\nWIDOWED OR DIVORCED(DISTINCT IN '60) 747-751\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - MALES\n14\nCARD 18, FIELD 1\nMALES 14 YRS AND OVER\n752-756\nReproduced at the National Archives\nCARD 18, FIELD 2\nLABOR FORCE\n757-761\nCARD 18, FIELD 3\nCIVILIAN LABOR FORCE\n762-766\nCARD 18, FIELD 4\nEMPLOYED\n767-771\nCARD 18, FIELD 5\nPRIVATE WAGE AND SALARY\n772-776\nCARD 18, FIELD 6\nGOVERNMENT\n777-781\nCARD 18, FIELD 7\nSELF-EMPLOYED\n782-786\nCARD 18, FIELD 8\nUNPAID FAMILY WORKERS\n787-791\nCARD 18, FIELD 9\nUNEMPLOYED\n792-796\nCARD 18, FIELD 10\nNOT IN THE LABOR FORCE\n797-801\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - FEMALES\nCARD 19, FIELD 1\nFEMALES 14 YRS AND OVER\n802-806\nCARD 19, FIELD 2\nLABOR FORCE\n807-811\nCARD 19, FIELD 3\nCIVILIAN LABOR FORCE\n812-816\nCARD 19, FIELD 4\nEMPLOYED\n817-821\nCARD 19, FIELD 5\nPRIVATE WAGE AND SALARY\n822-826\nCARD 19, FIELD 6\nGOVERNMENT\n827-831\nCARD 19, FIELD 7\nSELD-EMPLOYED\n832-836\nCARD 19, FIELD 8\nUNPAID FAMILY WORKERS\n837-841\nCARD 19, FIELD 9\nUNEMPLOYED\n842-846\nCARD 19, FIELD 10\nNOT IN LABOR FORCE\n847-851\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - MALES\nCARD 20, FIELD 1\nPROFESSIONAL, TECHNICAL, AND KINDRED 852-856\nCARD 20, FIELD 2\nMANAGERS, OFFICIALS, AND PROPS., INCL. 857-861\nCARD 20, FIELD 3\nCLERICAL AND KINDRED WORKERS\n862-866\nCARD 20, FIELD 4\nSALES WORKER\n867-871\nCARD 20, FIELD 5\nCRAFTSMEN, FOREMEN, AND KINDRED WOR 872-876\nCARD 20, FIELD 6\nOPERATIVES AND KINDRED WORKERS\n877-881\nCARD 20, FIELD 7\nPRIVATE HOUSEHOLD WORKER\n882-886\nCARD 20, FIELD 8\nSERVICE WORKERS EXCEPT PRIVATE HOUS 887-891\nCARD 20, FIELD 9\nLABORERS, EXCEPT FOR MINE\n892-896\nCARD 20, FIELD 10\nOCCUPATION NOT REPORTED\n897-901\nSOURCE TABLE 2, EMPLOYMENT STATUS AND MAJOR OCCUPATION GROUP - FEMALES\nCARD 21, FIELD 1\nPROFESSIONAL, TECHNICAL, AND KINDRED 902-906\nCARD 21, FIELD 2\nMANAGERS, OFFICALS, AND PROPS., INCL. F 907-911\nCARD 21, FIELD 3\nCLERICAL AND KINDRED WORKERS\n912-916\nCARD 21, FIELD 4\nSALES WORKERS\n917-921\nCARD 21, FIELD 5\nCRAFTSMEN, FOREMEN, AND KINDRED WOR 922-926\nCARD 21, FIELD 6\nOPERATIVES AND KINDRED WORKERS\n927-931\nCARD 21, FIELD 7\nPRIVATE HOUSEHOLD WORKER\n932-936\nCARD 21, FIELD 8\nSERVICE WORKERS EXCEPT PRIVATE HOUS 937-941\nCARD 21, FIELD 9\n942-946\n15\nLABORS, EXCEPT MINE\nReproduced at the National Archives\nCARD 21, FIELD 10\nOCCUPATION NOT REPORTED\n947-951\nSOURCE TABLE 3\nCARD 22, FIELD 1\nALL DWELLING UNITS\n952-956\nCARD 22, FIELD 2\nOWNER OCCUPIED\n957-961\nCARD 22, FIELD 3\nNON-WHITE OWNER\n962-966\nCARD 22, FIELD 4\nRENTER OCCUPIED\n967-971\nCARD 22, FIELD 5\nNON-WHITE RENTER\n972-976\nCARD 22, FIELD 6\nVACANT NONSEASONAL, ETC.\n977-981\nCARD 22, FIELD 7\nOTHER VACANT\n982-986\nSOURCE TABLE 3, TYPE OF STRUCTURE\nCARD 22, FIELD 8\n1 UNIT DETACHED\n987-991\nCARD 22, FIELD 9\n1 UNIT ATTACHED\n992-996\nCARD 22, FIELD 10\n1 AND 2 UNITS SEMI-DETACHED\n997-1001\nCARD 22, FIELD 11\n2 UNITS OTHER\n1002-1006\nCARD 22, FIELD 12\n3 AND 4 UNITS\n1007-1011\nCARD 22, FIELD 13\n5 UNITS AND MORE\n1012-1016\nSOURCE TABLE 3, YEAR BUILT\nCARD 23, FIELD 1\nNUMBER REPORTING - YEAR BUILT\n1017-1021\nCARD 23, FIELD 2\n1940 OR LATER\n1022-1026\nCARD 23, FIELD 3\n1930-1939\n1027-1031\nCARD 23, FIELD 4\n1920-1929\n1032-1036\nCARD 23, FIELD 5\n1919 OR EARLIER\n1037-1041\nCARD 23, FIELD 6\nALL OCCUPIED UNITS\n1042-1046\nSOURCE TABLE 3, NUMBER OF PERSONS IN DWELLING UNIT\nCARD 23, FIELD 7\n1 PERSON\n1047-1051\nCARD 23, FIELD 8\n2 PERSONS\n1052-1056\nCARD 23, FIELD 9\n3 PERSONS\n1057-1061\nCARD 23, FIELD 10\n4 PERSONS\n1062-1066\nCARD 23, FIELD 11\n5 AND 6 PERSONS\n1067-1071\nCARD 23, FIELD 12\n7 OR MORE PERSONS\n1072-1076\nCARD 23, FIELD 13\nNUMBER REPORTING PERSONS PER ROOM 1077-1081\nSOURCE TABLE 3, PERSONS PER ROOM\nCARD 23, FIELD 14\n1.01 OR MORE\n1082-1086\nSOURCE TABLE 3, CONTRACT MONTHLY RENT\nCARD 24, FIELD 1\nUNITS REPORTING MONTHLY CONTRACT RE 1087-1091\nCARD 24, FIELD 2\nLESS THAN $10\n1092-1096\nCARD 24, FIELD 3\n$10-$19\n1097-1101\nCARD 24, FIELD 4\n1102-1106\n16\n$20-$29\nReproduced at the National Archives\nCARD 24, FIELD 5\n$30-$39\n1107-1111\nCARD 24, FIELD 6\n$40-$49\n1112-1116\nCARD 24, FIELD 7\n$50-$59\n1117-1121\nCARD 24, FIELD 8\n$60-$74\n1122-1126\nCARD 24, FIELD 9\n$75-$99\n1127-1131\nCARD 24, FIELD 10\n$100 AND OVER\n1132-1136\nCARD 24, FIELD 11\nMEDIAN CONTRACT RENT\n1137-1141\nSOURCE TABLE 3, VALUE OF ONE-DWELLING-UNIT STRUCTURES\nCARD 25, FIELD 1\nNUMBER REPORTING VALUE OF HOME\n1142-1146\nCARD 25, FIELD 2\nLESS THAN $3000\n1147-1151\nCARD 25, FIELD 3\n$3000-$3999\n1152-1156\nCARD 25, FIELD 4\n$4000-$4999\n1157-1161\nCARD 25, FIELD 5\n$5000-$7499\n1162-1166\nCARD 25, FIELD 6\n$7500-$9999\n1167-1171\nCARD 25, FIELD 7\n$10000-$14999\n1172-1176\nCARD 25, FIELD 8\n$15000 +\n1177-1181\nCARD 25, FIELD 9\nMEDIAN VALUE\n1182-1186\nSOURCÉ TABLE 1, RESIDENCE IN 1950\n1187-1191\nCARD 25, FIELD 10\nPERSONS 1 YR+\n1192-1196\nCARD 25, FIELD 11\nSAME HOUSE\n1197-1201\nCARD 25, FIELD 12\nDIFFERENT HOUSE\n1202-1206\nCARD 25, FIELD 13\nDIFFERENT COUNTY\n1207-1211\nCARD 25, FIELD 14\nNOT REPORTED\n1212-1216\nSOURCE TABLE 3, CONDITION AND PLUMBING FACILITIES\nCARD 26, FIELD 1\nNUMBER REPORTING\n1217-1221\nCARD 26, FIELD 2\nNO PRIVATE BATHS\n1222-1226\nCARD 26, FIELD 3\nNO RUNNING WATER\n1227-1231\nSOURCE TABLE 3, HEATING FUEL\nCARD 26, FIELD 4\nNUMBER REPORTING - HEATING FUEL\nCARD 26, FIELD 5\nCENTRAL HEATING\n1232-1236\nCARD 26, FIELD 6\nNON-CENTRAL HEATING\n1237-1241\nCARD 26, FIELD 7\nNO HEAT\n1242-1246\nSOURCE TABLE 3, REFRIGERATION AND TELEVISION\nCARD 26, FIELD 8\nREFRIGERATION - MECHANICAL\n1247-1251\nCARD 26, FIELD 9\nREFRIGERATION - ICE\n1252-1256\nCARD 26, FIELD 10\nWITH TELEVISION\n1257-1261\n17\nReproduced at the National Archives\nTABLE'I I\n950 Census format - Page 1\nTols.\nContents\n:- ε\nTract I.\nU\n-12\nSequence number\n16\nLAN\n17-21\nTotal population of tract\n22-26\n:\nTotal White population\n27=31\nTotal Negro population\n32-36\nTotal other Nonwhite population\n37-44\nBLANK\n45-48\nNumber of households\n49-51\nBLANK\n52-56\nPopulation in households\n57-60\nPopulation per households\n61-68\nBLANK\n69-72\nInstitutional population\n73-76\nOld listing of sequence number. Often\nincorrect. DISREGARD\n77-80\nDeck I.D. 1XXU\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-20\nForeign born\n21-24\nEngland and Wales\n25-28\nScotland\n29-32\nGorthern Ireland\n33-36\nIreland (Eire)\n37-40\nNorway\n41-44\nSweden\n45-48\nDenmark\n49-52\nNetherlands\n53-56\nFrance\n57-60\nGermany\n61-64\nPoland\n65-68\nCzechoslovakia\n69-72\nAustria\n73-76\nHungary\n77-80\nDeck I.D. 2X1U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-20\nYugoslavia\n21-24\nU.S.S.R.\n25-28\nLithuania\n29-32\nFinland\n33-36\nRumania\n37-40\nGreece\n41-44\nItaly\n45-48\nOther Europe\n49-52\nAsia\n53-56\nCanada-French\n18\n57-60\nCanada-Other\n(cont.)\nReproduced at the National Archives\n1 50 Census format - Page 2\nCols.\nContents\n61-64\nMexico\n65-68\nOther America\n69-72\nAll other and Not reported\n73-76\nBLANK\n77-80\nDeck I.D. 2X2U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-20\nMarried couples number\n21-32\nBLANK\n33-36\nUnrelated individuals\n37-76\nBLANK\n77-80\nDeck I.D. 503U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nPersons 25 yrs and over\n22-26\nNo school yrs completed\n27-31\nTementary 1-4\n32\nBLANK\n33-36\nElementary 5-6\n37-40\nElementary 7\n41-44\nElementary 8\n45-48\nHigh School 1-3\n49-52\nHigh School 4\n53-56\nCollege 1-3\n57-60\nGollege 4 or more\n61-64\nNot reported\n65-68\nBLANK\n69-72\nMedian yrs. ; no decimal\n73-77\nBLANK\n78-80\nDeck I.D. 4XU\n1-8\nTract I.D.\n9-12\nSequence number\n13-15\nBLANK\n16-20\nTotal families\n21-24\nIncome less than $500\n25-28\n$500-$999\n29-32\n$1000-$1499\n33-36\n$1500-$1999\n37-40\n$2000-$2499\n41-44\n$2500-$2999\n45-48\n$3000-$3499\n49-52\n$3500-$3999\n53-56\n$4000-$4499\n57-60\n$4500-$4999\n61-64\n$5000-$5999\n19\n65-68\n$6000-$6999\n69-72\n$7000-$9999\nReproduced a or more\n77-80\nDeck I.D. 6X1U\n1950 Census format - Page 3\nCols.\nContents\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-20\nIncome not reported\n21-25\nMedian income\n26-76\nBLANK\n77-80\nDeck I.D. 6X2U\nTABLE II\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nTotal - All males\n22-26\nUnder 5yrs old\n27-31\n5-9\n32\nBLANK\n33-36\n10-14\n37-40\n15-19\n41-44\n20-24\n45-48\n25-29\n49-52\n30-34\n53-56\n35-39\n57-60\n40-44\n61-64\n45-49\n65-68\n50-54\n69-72\n55-59\n73-76\nBLANK\n77-80\nDeck I.D. 7X1U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nAll males - 60-64yrs\n22-26\n65-69\n27-31\n70-74\n32\nBLANK\nS3-36\n75-84\n137-40\n85 and over\n41-76\nBLANK\n77-80\nDeck I.D. 7X2U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n-17-21\nTotal - All females\n22-26\nUnder 5 yrs old\n27-31\n5-9\n32\nBLANK\n33-36\n10-14\n37-40\n15-19\n(cont.)\n20\nReproduced at the National Archives\n50 Census format - Page 4\nCols.\nContents\n41-44\n20-24\n45-48\n25-29\n49-52\n30-34\n53-56\n55-39\n57-60\n40-44\n61-64\n45-49\n65-68\n50-54\n68-72\n55-59\nL\n73-76\nBLANK\n77-80\nDeck I.D. 8X1U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nYAll females - 60-64yrs\n22-26\n65-69\n27-31\n90-74\n32\nBLANK\n33-36\n75-84\n37-40\n285 and over\n41-76\nBLANK\n77-30\nDeck I.D. 8X2U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nWhite males - Total\n22-26\nUnder 5 yrs old\n27-31\n5-9\n32\nBLANK\n33-36\n10-14\n37-40\n15-19\n41-44\n20-24\n45-48\n25-29\n49-52\n30-34\n53-56\n35-39\n57-60\n40-44\n61-64\n45-49\n65-68\n50-54\n69-72\n55-59\n73-76\nBLANK\n77-80\nDeck I.D. 9X1U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nWhite males - 60-64 yrs\n22-26\n65-69\n(cont. )\n21\nReproduced at the National Archives\n950 Census format - Page 5\nCols.\nContents\n27-31\n70-74\n30\nBLANK\n33-36\n75 and OV :r\n37-76\nBLANK\n77-80\nDeck I.D. 9X2U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nWhite females - Total\n22-26\nUnder 5 yrs old\n27-31\n5-9\n32\nBLANK\n33-36\n10-14\n37-40\n15-19\n41-44\n20-24\n45-48\n25-29\n49-52\n30-34\n53-56\n35-39\n57-60\n40-44\n61-64\n45-49\n65-68\n50-54\n69-72\n55-59\n73-75\nBLANK\n76-80\nDeck I.D. 10X1U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nWhite females - 60-64 yrs\n22-31\n65-69\n32\nBLANK\n33-36\n75 and over\n37-75\nBLANK\n76-80\nDeck I.D. 10X2U\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nMales 14 yrs and over\n22-26\nSingle\n27-31\nMarried (includes Separated as in '60, but no separate entry)\n32-36\nBLANK\n37-40\nWidowed or Divorced (distinct in '60)\n41-76\nBLANK\n77-80\nDeck I.D. 511U\n22\nReproduced at the National Archives\n.950 Census format - Page 6\nCols.\nContents\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-21\nFemales 14 yrs an over\n22-26\nSingle\n27-31\nMarried (includes Separ ted as in '60, but no separate entry)\n32-36\nBLANK\n37-40\nWidowed or Divorced (distinct in '60)\n41-76\nBLANK\n77-80\nDeck I.D. 512U\n1-8\nTract I.D.\n9-12\nSequence number\n13-15\nBLANK\n16-20\nMales 14 yrs and over\n21-24\nLabor force\n25-28\nCivilian labor force\n29-32\nEmployed\n33-36\nPrivate wage and salary\n37-40\nGovernment\n41-44\nSelf-employed\n45-48\nUnpaid family workers\n49-52\nUnemployed\n53-56\nNot in labor force\n57-76\nBLANK\n77-80\nDeck I.D. 12XU\n1-8\nTract I.D.\n9-12\nSequence number\n13-15\nBLANK\n16-20\nFemales 14 yrs and over\n21-24\nLabor force\n25-28\nCivilian labor force\n29-32\nEmployed\n33-36\nPrivate wage and salary\n37-40\nGovernment\n41-44\nSelf-employed\nclass of worbst\n45-48\nUnpaid family workers\n49-52\nUnemployed\n53-56\nNot in labor force\n57-76\nBLANK\n77-80\nDeck I.D. 13XU\n1-'8\nTract I.D.\n9-12\nSequence number\n13-32\nBLANK\n(inales only)\n33-36\nProfessional, technical, and kindred workers\n37-40\nManagers, officials, and props, incl. farm\n41-44\nClerical and kindred workers\n45-48\nSales workers\n23\n49-52\nDrafemen, foremen and kindred workers\n(cont.)\nReproduced at the National Archives\n950 Census format - Page 7\nCols.\nContents\n53-56\nCperatives and kindred workers\n57-60\nPrivate household workers\n61-64\nService workers except private household\n65-68\nLaborers, except mine\n63-72\nOccupation not reported\n73-76\nBLANK\n77-80\nDeck I.D. 12U\n1-8\nTract I.D.\n9-12\nSequence number\n13-32\nBLANK\n(females only)\n33-36\nProfessional, technical, and kindred workers\n37-40\nManagers, officials, and props., incl. farm\n41-44\nElerical and kindred workers\n45-48\nSales workers\n49-52\nCraftsmen, foremen and kindred workers\n53-56\nOperatives and kindred workers\n57-60\nPrivate household workers\n61-64\nService workers except private household\n65-68\nLaborers, except mine\n69-72\nOccupation not reported\n73-76\nBLANK\n77-80\nDeck I.D. 13U\nTABLE III\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-20\nATI dwelling units\n21-24\nOwner occupied\n25-28\nNon-white owner\n29-32\nRenter occupied\n33-36\nNon-white renter\n37-40\nWacant nonseasonal, etc.\n41-44\nOther vacant\n45-48\n1 unit detached\n49-52\n1 unit attached\n53-56\n? 7 1 and 2 units semi-detached allocate\n57-60\n2 units other\n61-64\n3 and 4 units\n65-68\n5 units and more\n69-76\nBLANK\n77-80\nDeck I.D. 17XU\n1-'8\nTract I.D.\n9-12\nSequence number\n13-16\nBLANK\n17-20\nNumber reporting - Year built\n21-24\n1940 or later\n25-28\n1930-1939\n24\n29-32\n1920-1929\n(cont.)\nReproduced at the National Archives\n1950 Census format - Page 8\nCols.\nContents\n33-36\n1919 or earlier\n37-40\n1\nAll occupied units\n41-44\nperson in dwelling unit\n45-48\n2\n49-52\n3\n53-56\nto\n57-60\nS\nand 6\n61-64\nV or more\n65-68\nNumber reporting persons per room\n69-72\n01 or more In mere detail\n73-76\nBLANK\n77-80\nDeck I.D. 18XU\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nUnits reporting monthly contract rent\n17-20\nLess than $10\n21-24\n$10-$19\n25-28\n$20-$29\n29-32\n$30-$39\n33-36\n$40-$49\n37-40\n#50-$59\n41-44\n$60-$74\n45-48\n$75-$99\n49-52\n$100 and over\n53-55\nBLANK (N.B.-only 3 columns)\n56-60\nMedian contract rent\n61-76\nBLANK\n77-80\nDeck I.D. 19XU\n1-8\nTract I.D.\n9-12\nSequence number\n13-16\nNumber reporting value of home\n17-20\nLess than $3000\n21-24\n$3000-$3999\n25-28\n$4000-$4999\n29-32\n$5000-$7499\n33-36\n37500-$9999\n37-40\n$10,000-$14,999\n41-44\n$15,000 +\n45-49\nMedian value\nTABLE I\n50-54\nPersons 1 yr +\n55-59\nSame house\n60-64\nDifferent house\n65-69\nDifferent county\n1 year mobelity\n70-74\nNot reported\n75-76\nBLANK\n77-80\nDeck I.D. 19X2\n25\nReproduced at the National Archives\nTABLE III\n1950 Census format - Page 9\nCols.\nContents\n1-8\nTract I.D.\n9-12\nSequence number\n13-17\nNumber reporting - Condition & plumbing\n18-22\nNo private baths\n23-27\nNo running water\n28-32\nNumber reporting - Heating fuel\n33-37\nCentral heating\n38-42\nNon-central heating\n43-47\nNo heat\n48-52\nRefrigeration - Mechanical\n53-57\nRefrigeration - Ice\n58-62\nWith television\n63-76\nBLANK\n77-80\nDeck I.D. 20XU\n26\nReproduced at the National Archives\n952\nC3.950-7\nT31/Au\nBULLETIN\nP-D3\n8\n1950\nUNITED STATES\nCENSUS OF\nPOPULATION\nU.S. DEPARTMENT OF COMMERCE BUREAU OF THE CENSUS\n#NTA\n20\nAUSTIN, TEX.\nCENSUS\nTRACTS\nReproduced at the National Archives\nU. S. CENSUS OF POPULATION: 1950\nVolume\nI Number of Inhabitants (comprising Series P-A bulletins)\nII Characteristics of the Population (comprising Series P-A, P-B, and P-C\nbulletins)\nIII Census Tract Statistics (comprising Series P-D bulletins)\nSucceeding volumes will cover the following subjects:\nNativity and Parentage, Nonwhite Population by Race, Persons of\nSpanish Surname, Institutional Population, Labor Force Character-\nistics, Occupation, Industry, Income, Internal Migration, Education,\nCharacteristics of Families and Households\nU. S. CENSUS OF HOUSING: 1950\nVolume\nI General Characteristics (comprising Series H-A bulletins)\nII Nonfarm Housing Characteristics (comprising H-B bulletins)\nIII Farm Housing Characteristics\nIV Residential Financing\nV Block Statistics (comprising Series H-E bulletins)\nHousing statistics for census tracts are to be included in the Population\nSeries P-D bulletins.\nII\n28\nReproduced at the National Archives\nUNITED STATES CENSUS of POPULATION 1950\nU.S. DEPARTMENT OF COMMERCE\nBUREAU OF THE CENSUS\nCHARLES SAWYER, Secretary\nROY V. PEEL, Director\nCENSUS TRACT STATISTICS\nAUSTIN\nTEXAS\nPrepared under the supervision of\nHoward G. Brunsman, Chief\nPopulation and Housing Division\n1950 POPULATION CENSUS REPORT\nVOLUME III, CHAPTER 3\nUNITED STATES GOVERNMENT PRINTING OFFICE 1952\nSELECTED POPULATION AND\nHOUSING CHARACTERISTICS\n29\nReproduced at the National Archives\nDEPARTMENT OF COMMERCE\n=\n*\nUNITED STATES OF AMERICA\nBUREAU OF THE CENSUS\nROY V. PEEL, Director\nA. Ross ECKLER, Deputy Director\nHOWARD C. GRIEVES, Assistant Director\nCONRAD TAEUBER, Assistant Director\nMORRIS H. HANSEN, Assistant Director for Statistical Standards\nLOWELL T. GALT, Assistant Director for Operations\nCALVERT L. DEDRICK, Coordinator, International Statistics\nLEON E. TRUESDELL, Chief Demographer\nFRANK R. WILSON, Information Assistant to the Director\nPopulation and Housing Division-\nHOWARD G. BRUNSMAN, Chief\nHENRY S. SHRYOCK, JR., Assistant Chief for Population\nROBERT B. VOIGHT, Assistant Chief for Operations\nWAYNE F. DAUGHERTY, Assistant Chief for Housing\nEDWIN D. GOLDFIELD, Program Coordinator\nDemographic Statistics-Henry D. Sheldon, Chief\nSocial Statistics-Paul C. Glick, Chief\nCoordinator for Manpower Statistics-Gertrude Bancroft\nEconomic Statistics-Robert B. Pearl, Chief\nOccupation and Industry Statistics-David L. Kaplan, Chief\nInternational Population Statistics-W. Parker Mauldin, Chief\nHousing Quality and Equipment Statistics-Robert C. Hamer, Chief\nHousing Inventory Statistics-Carl A. S. Coan, Chief\nHousing Developmental Programs-J. Hugh Rose, Chief\nResidential Financing-Junia H. Honnold, Chief\nTerritories and Possessions-Joel Williams, Chief\nStatistical Sampling-Joseph Steinberg, Chief\nStatistical Procedures-Morton A. Meyer, Chief\nProcessing Operations-Milton D. Lieberman, Chief\nAdministrative Service Division-WALTER L. KEHRES, Chief\nAgriculture Division-RAY HURLEY, Chief\nBudget Officer-CHARLES H. ALEXANDER\nBusiness Division-HARVEY KAILIN, Acting Chief\nField Division-JACK B. KOBERTSON, Chief\nForeign Trade Division-J. EDWARD ELY, Chief\nGeography Division-CLARENCE E. BATSCHELET, Chief\nGovernments Division-ALLEN D. MANVEL, Chief\nIndustry Division-MAXWELL R. CONKLIN, Chief\nMachine Tabulation Division-C. F. VAN AKEN, Chief\nPersonnel Division-HELEN D. ALMON, Chief\nStatistics presented in this bulletin supersede those shown in the report, Series PC-10, No. 5.\nSUGGESTED IDENTIFICATION\nU.S. Bureau of the Census. U.S. Census of Population: 1950 Vol. III, Census Tract Statistics,\nChapter 3. U.S. Government Printing Office, Washington, D. C., 1952.\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 15 cents\n30\nIV\nReproduced at the National Archives\nPREFACE\nThis report presents statistics on the characteristics of the population and housing\nof census tracts for one of the tracted areas for which data have been compiled from the\nSeventeenth Decennial Census of the United States, its Territories, and possessions con-\nducted as of April 1, 1950. Provision for the Seventeenth Decennial Census of Population\nwas made in the act providing for the Fifteenth and subsequent decennial censuses which\nwas approved on June 18, 1929; the 1950 Census of Housing was authorized by the Housing\nAct of 1949, approved July 15, 1949.\nThis is a chapter of Volume III, Census Tract Statistics, of the publications of\nthe 1950 Census of Population. Volume III consists of separate reports issued as bulletins,\nwhich will not be bound into a single publication. The materials presented here were\nprepared under the supervision of Howard G. Brunsman, Chief, Population and Housing\nDivision, Dr. Henry S. Shryock, Jr., Assistant Chief for Population Statistics, Wayne F.\nDaugherty, Assistant Chief for Housing, and Robert B. Voight, Assistant Chief for Opera-\ntions, with the assistance of Edwin D. Goldfield, Program Coordinator.\nThe materials on population were prepared by Dr. Henry D. Sheldon, Chief, Demo-\ngraphic Statistics Section, assisted by Tobia Bressler; Dr. Paul C. Glick, Chief, Social\nStatistics Section, assisted by Severn Provus and Emanuel Landau; Gertrude Bancroft,\nCoordinator for Manpower Statistics, assisted by Max Shor and Herman P. Miller; and\nDavid L. Kaplan, Chief, Occupation and Industry Statistics Section, assisted by Claire\nCasey.\nThe materials on housing were prepared by Robert C. Hamer, Chief, Quality and Equip-\nment Statistics Section, assisted by Nathan Krevor; and Carl A. S. Coan, Chief, Inventory\nStatistics Section, assisted by Florence R. Skelly.\nSampling procedures were under the direction of Joseph Steinberg, Chief, Statistical\nSampling Section, assisted by Joseph Waksberg; technical procedures were under the\ndirection of Morton A. Meyer, Milton D. Lieberman, and E. Richard Bourdon; and the\ntechnical editorial work and planning were under the supervision of Mildred M. Russell.\nThe geographic work, including technical assistance to local tract committees and the\npreparation of maps, was under the supervision of Clarence E. Batschelet, Chief, Geography\nDivision. The collection of the information on which these statistics were based was under\nthe supervision of Lowell T. Galt, Chief, Field Division, and the tabulations were under\nthe supervision of C. F. Van Aken, Chief, Machine Tabulation Division.\nAugust 1952.\nv\n31\nReproduced at the National Archives\nCONTENTS\nINTRODUCTION\nPage\nDefinitions and explanations-Continued\nPage\nGeneral\n1\nEmployment status\n3\nHistorical background\n1\nOccupation and class of worker\n3\nDefinition of a census tract\n1\nDwelling unit\n3\nEvaluation of data for census tracts\n1\nOccupancy and tenure\n3\nAvailability of unpublished data\n1\nType of structure\n3\nCondition and plumbing facilities\n3\nDefinitions and explanations\n1\nYear built\n3\nMedian\n2\nNumber of persons in dwelling unit\n3\nRafe and nativity\n2\nPersons per room\n3\nCountry of birth of foreign-born white\n2\nHeating fuel\n4\nPersons with Spanish surname\n2\nRefrigeration equipment\n4\nMarried couple\n2\nTelevision\n4\nFamily\n2\nContract monthly rent\n4\nUnrelated individual\n2\nValue of one-dwelling-unit structures\n4\nHousehold\n2\nInstitutional population\n2\nReliability of sample data\n4\nYears of school completed\n2\nSample design\n4\nResidence in 1949\n2\nSampling variability\n4\nIncome in 1949\n2\nRatio estimates\n5\nAge\n2\nMarital status\n2\nList of tracted areas\n5\nComparability of census tracts, 1950 and 1940\n6\nTABLES\nPage\nTable 1.-Characteristics of the population, by census tracts: 1950\n7\nTable 2.-Age, marital status, and economic characteristics, by sex, by census tracts: 1950\n8\nTable 3.-Characteristics of dwelling units, by census tracts: 1950\n10\nTable 4.-Characteristics of the nonwhite population, for selected census tracts: 1950\n11\nTable 5.-Characteristics of dwelling units occupied by nonwhite persons, for selected census tracts: 1950\n12\nTable 6.-Characteristics of the white population with Spanish surname, for selected census tracts: 1950\n13\nTable 7.-Characteristics of dwelling units occupied by white persons with Spanish surname, for selected census\n13\ntracts: 1950\nMap of tracted area appears following last page of tables.\nVI\n32\nReproduced at the National Archives\nSTATISTICS FOR CENSUS TRACTS\nINTRODUCTION\nGENERAL\ntracts for each city. The tract areas are established with a\nview to approximate uniformity in population. with some con-\nThis bulletin presents statistics on the basic population and\nsideration of uniformity in size, and with due regard for natural\nhousing characteristics for one of the tracted areas for which\nfeatures. Each tract is designed to include an area fairly homo-\ndata are available from the Seventeenth Decennial Census, taken\ngeneous in population characteristics. In cities where the ward\nas of April 1, 1950. (See page 5 for complete list of tracted\nlines are infrequently changed, the tracts may form subdivisions\nareas.) The population items include sex, age, race, nativity,\nof the wards; but they are usually laid out without regard to the\nmarital status, years of school completed, country of birth, married\nward boundaries.\ncouples and households, residence in 1949, employment status,\noccupation, class of worker, and income in 1949. Among the\nThe tracts are intended to remain unchanged from census to\nhousing subjects are occupancy and tenure, type of structure,\ncensus and thus to make possible studies of changes in social and\ncondition and plumbing facilities, year built, persons per room,\neconomic characteristics of the population within small sections\nheating fuel, refrigeration equipment, television, contract monthly\nof the city. There are several types of situations, however, which\nrent, and value of one-dwelling-unit structures.\nresult in boundary changes. The first of these occurs when ter-\nritory is annexed to a city and it is necessary to change the\nThe population for each of the tracted areas has been pub-\nboundaries of the tracts adjacent to the annexed area to include\nlished in Series PC-10, Advance Reports. Those reports present\nthe area or merely add new tracts. Second, tracts in which there\nthe population of each tract in the area and a map showing the\nare very large increases in population may be subdivided into two\ntract boundaries. Summary statistics on various housing charac-\nor more smaller tracts. Third, there has been, in many areas, a\nteristics are presented by tracts in the block statistics bulletins,\nre-examination of the existing tract boundaries which results in\nwhich together comprise Volume V of the Housing reports. Data\na consolidation of parts of tracts into more homogeneous units.\nare shown there for those tracted cities which in 1940, or in a\nThe tracts for which 1940 figures on the total population by color\nsubsequent special census prior to 1950, had a population of\nare not available are the tracts which have had boundary changes\n50,000 or more.\nbetween 1940 and 1950 or which have been established since 1940\nAlthough the total 1950 population of tracts has been published\n(table 1).\nfor 69 tracted areas in advance reports, the present series of\nEvaluation of data for census tracts.-Users of data for census\nbulletins is being published for only those areas that have mani-\ntracts should bear in mind that the data compiled for most such\nfested definite interest in the census tract program.\nareas represent the work of a very small number of enumerators\nIn general, tracted areas within the same standard metropoli-\n(often only one or two) Consequently, the data for such areas\ntan area are included in the same census tract bulletin.\nare subject to a wider margin of error than is to be expected for\nHistorical background.-The concept of census tracts was orig-\nlarger areas. This qualification applies particularly to classifica-\ninated by the late Dr. Walter Laidlaw in New York City in 1906.\ntions involving complex definitions which require some judgment\nWhile working with population statistics, he became convinced\non the part of enumerators, such as the question on condition of\nthat, in order to study neighborhoods, it was necessary to have\nhousing. The misinterpretation by an enumerator of instructions\npopulation data for local areas smaller than boroughs or wards\npertaining to a particular item may cause a significant bias in\nand to establish these areas SO that they would remain unchanged\nthe statistics for a very small census tract, even though it would\nfrom census to census. At his request the Census Bureau made\nhave a negligible effect upon the figures for a large area.\ntabulations of 1910 data by census tracts not only for New York,\nAvailability of unpublished data.-Because of space limitations,\nbut also for seven other cities having a population of over 500,000.\nnot all of the materials tabulated for census tracts are presented\nTract data were again tabulated for the same 8 cities in 1920,\nin this report. These unpublished statistics can be made avail-\nand in 1930 this number was increased to 18. By 1940 there were\nable upon request, for the cost of transcribing or combining them.\n60 cities, and in some cases their adjacent areas, for which tract\nRequests for such unpublished statistics, addressed to the Direc-\ndata were available. Data from the 1950 Census will be available\ntor, Bureau of the Census, Washington 25, D. C., will receive a\nfor the tracted areas listed on page 5.\nprompt reply which will include an estimate of the cost of pre-\nFor further discussion of census tract data and their uses,\nparing the data. For a complete description of the unpublished\nsee U. S. Bureau of the Census, Census Tract Manual, 3d edition,\ndata for census tracts, see U. S. Censuses of Population and Hous-\n1947, a copy of which may be obtained by a request addressed\ning: 1950, Key to Published and Tabulated Data for Small Areas,\nto the Director, Bureau of the Census, Washington 25, D. C.\nWashington, D. C., 1951, which may be purchased from the Super-\nintendent of Documents, U. S. Government Printing Office, Wash-\nDefinition of a census tract.-Census tracts are small areas,\nington 25, D. C., for 30 cents.\nhaving a population usually between 3,000 and 6,000, into which\ncertain large cities (and sometimes their adjacent areas) have\nDEFINITIONS AND EXPLANATIONS\nbeen subdivided for statistical and local administrative purposes,\nthrough cooperation with a local committee in each case. Al-\nBrief definitions and explanations of the principal items pre-\nthough this subdivision into tracts has been more or less arbi-\nsented in the tract tables appear in the following paragraphs. A\n33\nmore complete discussion of the items relating to population may\ntrary, several principles have been followed in laying out the\nbe found in the Series P-B bulletins, which are preprints of\nReproduced at the National Archives\n1\n2\nSTATISTICS FOR CENSUS TRACTS\nChapter B of each State part of Population, Volume II, Character-\nHousehold.-A household includes all the persons who occupy\nistics of the Population. Similar information of the housing items\na dwelling unit. A person living alone in a dwelling unit or\nmay be found in the Series H-A bulletins, which are preprints\na group of unrelated persons sharing the same living accom-\nof the State chapters of Housing, Volume I, General Character-\nmodations as parners is counted as a household.\nistics. Those publications contain more detailed definitions, an\nevaluation of the data on various items, and discussion of com-\nThe count of households excludes groups of persons living as\nparability with data on the same, or similar, subjects from the\nquasi households, that is, living in quarters not classified as\n1940 Census and from other sources.\ndwelling units, for example, in houses with at least five lodgers\nor in hotels, institutions, labor camps, or military barracks.\nMedian.-The median, a type of average, is presented in connec-\ntion with the data on years of school completed, family income,\nThe average population per household is obtained by dividing\nthe population in households by the number of households. It\nnumber of persons per dwelling unit, and rent or value of dwelling\nunit which appear in this bulletin. The median is the value\nexcludes persons living in quasi households.\nwhich divides the distribution into two equal parts-one-half of\nInstitutional population.-The institutional population includes\nthe cases falling below this value and one-half of the cases\nthose persons living as inmates in such places as homes for\nexceeding this value.\ndelinquent or dependent children, homes and schools for the men-\nRace and nativity.-Three major race categories are distin-\ntally or physically handicapped, places providing specialized\nguished in this bulletin, namely, white, Negro, and other races.\nmedical care, homes for the aged, and prisons and jails. Staff\nmembers and their families are not included in the institutional\nNegro and other races taken together comprise the category\npopulation.\n\"Nonwhite.\" Persons of Mexican birth or ancestry who were not\ndefinitely Indian or of other nonwhite race were classified as\nYears of school completed.*-Figures on educational attainment\nwhite. Included as Negro are persons of mixed white and Negro\nrefer only to progress in. \"regular schools.\" Such schools are\nparentage and persons of mixed Indian and Negro parentage\npublic, private, or parochial schools, colleges, universities, or\nunless the Indian blood very definitely predominates or the in-\nprofessional schools, either day or night, that is, those schools\ndividual is accepted in the community as an Indian. All other\nwhere enrollment leads to an elementary or high school diploma,\nnonwhite races are classified in the residual category \"Other\nor to a college, university, or professional school degree. Train-\nraces\" in this report.\ning in a vocational, trade, or business school was excluded unless\nthe school was graded and considered part of the regular school\nIn the presentation of housing statistics, occupied dwelling\nsystem. The median number of school years completed is ex-\nunits are shown separately for nonwhite heads of households.\npressed in terms of a continuous series of numbers representing\nA person born in the United States or any of its Territories or\nyears completed. For example, the completion of the first year\npossessions, or born in a foreign country of parents who were\nof high school is indicated by 9 and of the last year of college\nAmerican citizens, is counted as native.\nby 16.\nIn view of the fact that a major portion of the nonwhite popu-\nResidence in 1949.*-Residence in 1949 is the usual place of\nlation is to be found in the South and in large urban centers in\nresidence one year prior to the date of enumeration and was used\nthe North and West, data are shown separately for the nonwhite\nin conjunction with residence in 1950 to determine the numbers\npopulation in these areas only. For all tracted areas in the\nof persons who had changed residence from 1949 to 1950.\nSouth and those tracted areas in the North and West with 10,000\nor more nonwhite inhabitants, selected population and housing\nIncome in 1949.*-Income, as defined in the 1950 Census, is the\nitems are shown for nonwhites in each tract with 250 or more\nsum of the money received, less losses, from the following sources:\nnonwhite persons.\nwages or salary; net income (or loss) from the operation of a\nfarm, ranch, business, c\" profession; net income (or loss) from\nCountry of birth of foreign-born white.-The classification by\nrents or receipts from roomers or boarders; royalties; interest,\ncountry of birth is based on international boundaries as formally\ndividends, and periodic income from estates and trust funds; pen-\nrecognized by the United States in April 1950.\nsions; veterans' payments, armed-forces allotments for depend-\nPersons with Spanish surname.-White persons of Spanish sur-\nents, and other governmental payments or assistance; and other\nname living in five southwestern States (Arizona, California,\nincome such as contributions for support from persons who are\nColorado, New Mexico, and Texas) were distinguished separately\nnot members of the household, alimony, and periodic receipts\nfor the first time in the 1950 Census. For tracted areas with\nfrom insurance policies or annuities. The figures in this report\n10,000 or inore white persons of Spanish surname in these States,\nrepresent the amount of income received by families and unre-\n(lata for selected population and housing characteristics are pre-\nlated individuals before deductions for personal income taxes,\nsented for each tract with 250 or more white persons with Spanish\nsocial security, bond purchases, union dues, etc.\nsurname.\nReceipts from the following sources were not included as income:\nMarried couple.*-A married couple is defined as a husband\nmoney received from the sale of property unless the recipient\nand his wife enumerated as members of the same household or\nwas engaged in the business of selling such property; the value of\nquasi household. Married couples are classified as \"with own\nincome \"in kind,\" such as food produced and consumed in the\nhousehold\" if the husband is head of the household.\nhome, free living quarters; withdrawals of bank deposits; money\nborrowed; tax refunds; gifts; and lump-sum inheritances or\nFamily.*-A family, as defined in the 1950 Census, is a group\ninsurance payments.\nof two or more persons related by blood, marriage, or adoption\nand living together; all such persons are regarded as members\nAge.-The age classification is based on the age of the person\nof one family.\nat his last birthday as of the date of his enumeration, that is, the\nage of the person in completed years.\nUnrelated individual.*-Unrelated individuals are persons\n(other than inmates of institutions) who are not living with any\nMarital status.-This classification of persons 14 years old and\nrelatives. In this bulletin, statistics on unrelated individuals\nover relates to marital status at the time of enumeration. Per-\nare limited to those 14 years old and over.\nsons classified as \"married\" comprise, therefore, both those who\nhave been married only once and those who have remarried\n*Data based on 20-percent sample. For estimates of sampling varia-\nafter having been widowed or divorced. Persons reported as\n34\nbility and a method of obtaining improved estimates, see the section on\n\"Reliability of sample data.\"\nseparated are classified as married.\nReproduced at the National Archives\nINTRODUCTION\n3\nEmployment status.-The major concepts involved in the em-\nare not included with either the owner-occupied or the renter-\nployment status classification are as follows:\noccupied units.\nCensus week.-The 1950 data on employment status pertain\nto the calendar week preceding the enumerator's visit, which is\nA dwelling unit is considered vacant if no persons were living\ndefined as the \"census week.\"\nin it at the time of enumeration. New units not yet occupied\nEmployed.-Employed persons comprise all civilians 14 years\nwere enumerated as vacant dwelling units if construction had\nold and over who, during the census week, were either (1)\nproceeded to the extent that all the exterior windows and doors\n\"at work\"-those who did any work for pay or profit, or worked\nwithout pay for 15 hours or more on a family farm or in a family\nwere installed and final usable floors were in place. \"Other va-\nbusiness; or (2) \"with a job but not at work\"-those who did\ncant and nonresident\" includes all dilapidated vacant units, all\nnot work and were not looking for work but had a job or business\nseasonal vacant units, vacant units which were not for sale or\nfrom which they were temporarily absent because of vacation, ill-\nrent and were not dilapidated, and units occupied by nonresidents\nness, industrial dispute, bad weather, or layoff with definite\nonly.\ninstructions to return to work within 30 days of layoff. Also\nincluded as \"with a job\" are persons who had new jobs to which\nBecause the enumeration of vacancies in 1950 was somewhat\nthey were scheduled to report within 30 days. In this report,\nmore inclusive than in 1940, counts of total vacancies for the two\nthese two categories are combined and shown as \"employed.\"\nUnemploycd.-Persons 14 years old and over are classified as\ncensuses are not strictly comparable. There are no correspond-\nunemployed if they were not at work during the census week\ning 1940 data for units that are vacant nonseasonal, not dilapi-\nbut were either looking for work or would have been looking\ndated, for rent or sale; the classifications \"for rent or sale\" and\nfor work except that (1) they were temporarily ill, (2) they\ncondition were defined differently in the two censuses.\nexpected to return to a job from which they had been laid off\nfor an indefinite period, or (3) they believed no work was avail-\nType of structure.-Dwelling units are classified by the type\nable in their community, or in their line of work.\nof structure in which they are located. The figures do not repre-\nLabor force.-The labor force includes all persons classified\nsent the number of residential structures.\nas employed or unemployed, as described above, and also members\nof the armed forces (persons on active duty with the United\nA structure has open space on all four sides or has vertical\nStates Army, Navy, Air Force, Marine Corps, or Coast Guard).\nwalls dividing it from all other structures. A detached structure\nThe \"civilian labor force\" comprises the employed and unem-\nhas open space on all four sides. An attached structure is one\nployed components of the labor force.\nof a row of three or more adjoining structures or is attached\nNot in labor force.-Persons not in the labor force comprise\nall civilians,1 years of age and over who are not classified as\nto a nonresidential structure. A semidetached structure is one\nemployed or unemployed, including persons doing only incidental\nof two adjoining residential structures with open space on the\nunpaid family work (less than 15 hours). Included in this group\nremaining three sides. In apartment developments, each building\nare persons primarily engaged in their own home housework,\nwith open space on all sides is considered a separate structure.\nstudents, seasonal workers in an \"off\" season, the retired, persons\nunable to work, inmates of institutions, and persons not reporting\nCondition and plumbing facilities.-A dwelling unit is \"dilapi-\non their employment status.\ndated\" when it is run-down, neglected, or is of inadequate original\nOccupation and class of worker.-The data on these two subjects\nconstruction, S0 that it does not provide adequate shelter or\npresented in this bulletin are for employed persons and refer to\nprotection against the elements or it endangers the safety of the\noccupants.\nthe job held during the census week. For persons employed at\ntwo or more jobs, the data refer to the job at which the person\nThe category \"No private bath or dilapidated\" includes, in addi-\nworked the greatest number of hours during the census week.\ntion to the category \"No running water or dilapidated,\" all dwell-\nThe occupation statistics presented here are based on the major\ning units that are not dilapidated and have running water but\ngroups of the detailed occupational classification system devel-\nlack a private flush toilet or private bathing facilities.\noped for the 1950 Census.\nData on condition and plumbing facilities (water supply, toilet\nDwelling unit.-In general, a dwelling unit is a group of rooms\nfacilities, bathing facilities) are limited to units for which re-\nports were made on both.\nor a single room, occupied, or intended for occupancy, as separate\nliving quarters by a family or other group of persons living to-\nYear built.*-\"Year built\" refers to the year in which the orig-\ninal construction was completed, not to the year in which any\ngether or by a person living alone.\nlater remodeling, addition, reconstruction, or conversion of the\nSpecifically, a group of rooms, occupied, or intended for occu-\nstructure in which the dwelling unit is located may have taken\npancy, as separate living quarters, is a dwelling unit if it has\nplace. The dwelling units classified by year built represent the\nseparate cooking equipment or a separate entrance. A single\ntotal number of dwelling units constructed during a given period\nroom, occupied, or intended for occupancy, as separate living\nplus the number created by conversions in structures originally\nquarters, is a dwelling unit if it has separate cooking equipment\nbuilt during the same period minus the number lost in structures\nor if it constitutes the only living quarters in the structure. Also,\nbuilt during the period. Losses occur through demolition, fire,\nflood, disaster, and conversion to nonresidential use or to fewer\neach apartment in a regular apartment house is a dwelling unit\ndwelling units.\neven though it may not have separate cooking equipment. Ex-\ncluded from the dwelling-unit count are living quarters with five\nNumber of persons in dwelling unit.-All persons enumerated\nor more lodgers, institutions, dormitories, and transient hotels\nin the Population Census as members of the household (including\nand tourist courts. Houseboats, tents, trailers, and railroad cars\nlodgers, servants, and other unrelated persons) are counted in\nwere included as dwelling units only when occupied.\ndetermining the number of persons that occupy the dwelling unit.\nIn the computation of the median number of persons per dwelling\nOccupancy and tenure.-A dwelling unit is classified as owner-\nunit, a continuous distribution was assumed within each size\noccupied if it was owned wholly or in part by the head of the\ngroup. For example, when the median is in the 3-person group,\nhousehold or some related member of his family living in the\nthe lower and upper limits of the group are assumed to be 2.5\ndwelling unit. All other occupied units are classified as renter-\nand 3.5, respectively. These medians are based on the distribu-\noccupied whether or not cash rent was actually paid for living\ntions shown in this report.\nquarters. Rent-free units and living accommodations received in\nPersons per room.-The number of persons per room has been\npayment for services performed are thus included with the\nrenter-occupied units. However, units occupied by nonresidents,\ncomputed for each occupied dwelling unit by dividing the number 5\n*Data based on 20-percent sample. For estimates of sampling varia-\nthat is, by people whose usual place of residence is elsewhere,\nbility, see the section on \"Reliability of sample data.\"\nReproduced at the National Archives\n4\nSTATISTICS FOR CENSUS TRACTS\nof persons by the number of rooms in the dwelling unit. The\nisks. Estimates of the number of persons or dwelling units with\nnumber of rooms in the dwelling unit includes all rooms suitable\nspecified characteristics based on sample data have in all cases\nfor living quarters. Not counted as rooms are bathrooms, closets,\nbeen obtained by multiplying the number of persons or dwelling\npantries, halls, screened porches, and unfinished rooms in the\nunits in the sample containing these characteristics by five. On\nbasement or attic.\nthe population schedules a separate line was filled out for each\nHeating fuel.*-Dwelling units in which two or more types of\nperson enumerated, with every fifth line designated as a sample\nheating fuels were used are classified by the one that was used\nline. The persons falling on these sample lines were asked all\nmost. Statistics are presented separately for dwelling units with\nthe pertinent sample questions. Since lines on the census sched-\nules were sometimes left blank or contained enumerators' notes,\ncentral heating and with noncentral heating.\nthis procedure did not automatically insure exactly a 20-percent\nA dwelling unit with central heating is one that is heated by\nsample of persons in each tract.\npiped steam or hot water or by a warm air furnace.\nIn obtaining the housing sample items the dwelling units in an\n\"Utility or bottled gas\" includes gas piped into the structure\narea were divided into five samples, each sample consisting of\nfrom mains leading from a central system as well as gas supplied\napproximately 20 percent of the total number of dwelling units\nto the consumer in containers (bottles or tanks) which are\nin the area. The four sample housing items in this report were\nreplaced or refilled as needed. \"Liquid fuel\" includes fuel oil,\nobtained from four different samples.\nkerosene, and similar fuels.\nSampling variability.-The data indicated by asterisks are sub-\nRefrigeration equipment.*-The type of refrigeration reported\nject to sampling variability. Table A presents the approximate\nis the principal equipment available within the dwelling unit for\nstandard errors for statistics based on the samples. The col-\nthe refrigeration of food, whether or not it was in use at the\numins of this table represent the total population or the total\ntime of enumeration.\nnumber of dwelling units in the tract, depending upon the type\n\"Mechanical\" refrigeration includes any type of refrigerator\nof characteristic being estimated. Table B presents the approxi-\nperated by electricity, gas, kerosene, gasoline, or other source\nmate standard errors of estimated percentages that may be com-\nof power. \"Ice\" refrigeration includes a refrigerator, box. or\nputed by dividing the number with a specific characteristic by\nchest cooled by ice supplied from an outside source.\nthe sample estimate of the base of the percentage. Values not\nTelevision,-Data on television represent the number of dwell-\nshown in the tables can be obtained by linear interpolation.\ning units which had a television set, even though the set was\nValues shown in these tables contain no allowance for blases\ntemporarily out of order or being repaired at the time of\nwhich arose when the enumerator failed to follow his sampling\nenumeration.\ninstructions exactly. These biases are generally small and have\nrelatively little effect on uses of the data.\nContract monthly rent.-Contract monthly rent is the rent at the\ntime of enumeration contracted for by the renter regardless of\nThe standard error is a measure of sampling variability. The\nwhether it includes furniture, heating fuel, electricity, cooking\nchances are about 2 out of 3 that the difference due to\nfuel, water, or personal services. Monthly rent for vacant\nsampling variability between an estimate and the figure that\ndwelling units is the monthly rent asked at the time of enumera-\nwould have been obtained from a complete count of the population\ntion. Data are limited to nonfarm units. Dwelling units which\nis less than the standard error. The amount by which the stand-\nare occupied \"rent-free\" are not included with the units reporting\nard error must be multiplied to obtain other odds deemed more\na rental figure. Rents were reported to the nearest dollar; and,\nappropriate for a particular use of the statistics can be found in\nin computing the medians, the limits of the class intervals were\nalmost any statistical textbook. For example, the chances are\nassumed to stand at the midpoint of the one-dollar interval be-\nabout 19 out of 20 that the difference is less than twice the stand-\ntween the end of one of the rent groups as shown in the table\nard error, and 99 out of 100 that it is less than 2½ times the\nand the beginning of the next. For example, the limits of the\nstandard error.\ninterval designated in round dollars $10 to $14 were assumed\nIllustration: Let us assume that for a particular tract with a\nto be $9.50 to $14.49. The median rent is based on a more detailed\npopulation of 10,000, table 1 shows that there were an estimated\ndistribution than that shown in the tables.\n2,500 persons 25 years of age and over who completed 4 years of\nValue of one-dwelling-unit structures.-The value of a struc-\nhigh school. Table A shows that the standard error for a popu-\nture represents the amount for which the owner estimates that\nlation estimate of 2,500 in tracts with 10,000 population is about\nthe property, including such land as belongs with it, would sell\n90. Consequently, the chances are about 2 out of 3 that the figure\nunder ordinary conditions and not at forced sale. For vacant\nwhich would have been obtained from a complete count in this\nunits, value is the sale price asked by the owner. Data are lim-\ntract of the number of persons 25 years of age and over who\nited to those nonfarm units in one-dwelling-unit structures with-\ncompleted 4 years of high school differs by less than 90 from the\nout business where there is only one dwelling unit included in\nsample estimate. It also follows that there is only about 1\nthe property. Value was reported to the nearest $100; and in\nchance in 100 that a complete census result would differ by as\nthe computation of the median, the upper and lower limits of\nmuch as 225, that is, by about 2½ times the number given in the\nthe interval were assumed to stand at $50 below the beginning\ntable.\nand end of the value groups as shown in the tables. For example,\nThe standard errors shown in tables A and B are not directly\nthe limits of the interval designated in round dollars $2,000 to\napplicable to differences between two sample estimates. These\n$2,999 were assumed to be $1,950 to $2,949. The median values\ntables are to be applied differently in the three following types\nare based on a more detailed distribution than that shown in the\nof differences: (a) The difference between a sample figure and a\ntables.\ncomplete count-the standard error of this difference is identical\nRELIABILITY OF SAMPLE DATA\nwith the standard error of the sample figure; (b) the difference\nbetween two sample estimates, one of which represents a sub-\nSample design.-Some of the data in the tables which follow\nclass of the other-tables A and B can be used directly for a\nare based on Information asked of a representative sample of\ndifference of this type, with the difference considered as a sample\nabout 20 percent of the population or of about 20 percent of the\nestimate; (c) any other type of difference-the standard error\ndwelling units In each tract. These data are indicated by aster-\nwill be approximately the square root of the sum of the squares\n6\nof the standard error of each estimate considered separately.\n*Data based on 20-percent sample. For estimates of sampling varia-\nbility, see the section on \"Reliability of sample data.\"\nThis formula will represent the actual standard error quite\nReproduced at the National Archives\nCOMPARABILITY OF CENSUS TRACTS\n1950 AND 1940\nBoundaries of 1950 census tracts are the same as for 1940 tracts of\ncorresponding number, except those listed below]\n1950 tract\n1940 tract\nnumber\nnumber\n1\n1 and annexed area\n2\n2 (part) and annexed area\n3\n3 (part) and annexed area\n4\n4 and annexed area\n8\n8 and annexed area\n9\n9 and annexed area\n13\n13 and annexed area\n15\n2 (part), 3 (part), and annexed\narea\n6\n38\nReproduced at the National Archives\nINTRODUCTION\n5\naccurately for the difference between estimates of the same char-\nThe effect of using ratio estimates of this type is, in general.\nteristic in two different tracts, or for the difference between\nto reduce the relative sampling variability from that shown for\nseparate, uncorrelated characteristics in the same area. In the\nan estimate of given size in table A to that shown for the cor-\ncase of population characteristics, however, if there is a high\nresponding percentage in table B.\npositive correlation between the two characteristics, the formula\nwill overestimate the standard error.\nThe sampling variability of estimates of the median years of\nTABLE A.-APPROXIMATE STANDARD ERROR OF ESTIMATES OF\nschool completed and median income depend on the distribution\nSELECTED SIZE\non which the medians are based.¹\n[Range of 2 chances out of 3]\nRatio estimates.-It is possible to make an improved estimate\nStandard error of estimate by population or\nof an absolute number representing a population characteristic\nnumber of dwelling units in tract\nSize of estimate\n(improved in the sense that the standard error is smaller) when-\never the class in question forms a part of a larger group for\n250\n500\n1,000\n2,500\n5,000\n10,000\n15,000\nwhich both a sample estimate and a complete count are available.\n50\n10\n10\n10\n10\n10\nThis is the case for data on \"Years of school completed\" and\n10\n10\n100\n20\n20\n20\n20\n20\n20\n20\n\"Residence in 1949\" since both sample estimates and complete\n250\n10\n20\n30\n30\n30\n30\n30\n500\n10\n30\n40\n40\n40\n40\ncounts exist for the numbers of persons 25 years old and over\n1,000\n20\n50\n60\n60\n60\nand 1 year old and over. The improved estimate (usually re-\n1,500\n50\n60\n70\n70\nferred to as a \"ratio estimate\") may be obtained by multiplying\n2,500\n30\n70\n90\n90\n5,000\n40\n100\n110\nthe estimate of the number of persons having the characteristic\n7,500\n90\n120\n10,000\n50\n120\nin question by the ratio of the complete count of total persons\nin the larger group to the estimate of this number derived from\nthe sample. Ratio estimates are not recommended for sample\nTABLE B.-APPROXIMATE STANDARD ERROR OF ESTIMATED\nhousing characteristics, since the improvement will generally be\nPERCENTAGES\nsmall.\n[Range of 2 chances out of 3]\n1 The standard error of a median based on the 20-percent sample data\nmay be estimated as follows: If the estimated total number reporting\nStandard error of estimated percentage\nthe characteristic is N, compute the number N/2 Cumulate the\nby size of percentage\nBase of percentage\nfrequencies in the table until the class Interval which contains this\nnumber is located. By linear interpolation, obtain the value below\n2 or 98\n5 or 95\n10 or 90\n25 or 75\n50\ncases lie. In a similar manner, obtain the value below\nwhich N/2 + VN cases lie. If information on the characteristic had been\n500\n1.3\n1.9\n2.6\n3.8\n4.1\nobtained from the total population. the chances are about two out of three\n1,000\n0.9\n1.4\n1.9\n2.7\n3.1\nthat the median would lie between these two values. The chances will\n2,500\n0.0\n0.9\n1.2\n1.7\n2.0\n5,000\n0.4\n0.6\n0.9\n1.2\n1.4\nbe about 19 in 20 that the median will be in the interval computed\n15,000\n0.2\n0.4\n0.5\n0.7\n0.8\nsimilarly but using N 2 VN.\nLIST OF TRACTED AREAS\n[All tracted areas are listed below. Bulletins will be issued for the areas to which bulletin numbers are assigned]\nBulletin\nBulletin\nBulletin\nNo.\nNo.\nNo.\n1. Akron, Ohio 1\n21. Fort Worth, Texas'\n42. Philadelphia, Pa.¹\n2. Atlanta, Ga.¹\n22. Greensboro, N. C.¹\n43. Pittsburgh, Pa.¹\n- Atlantic City, N. J.\n23. Hartford, Conn.¹\n63. Portland, Oreg.\n- Augusta, Ga.¹\n24. Houston, Texas¹\n44. Providence, R. I.\n3. Austin, Texas\n25. Indianapolis, Ind.¹\n45. Richmond, Va.\n4. Baltimore, Md.¹\n- Jersey City, N. J.¹\n64. Rochester, N. Y.\n5. Birmingham, Ala.\n26. Kalamazoo, Mich.¹\n46. Sacramento, Calif.¹\n6. Boston, Mass.¹\n27. Kansas City, Mo.¹\n47. St. Louis, Mo.¹\n7. Bridgeport, Conn.¹\n28. Los Angeles, Calif.¹\n48. San Diego, Calif.1\n8. Buffalo, N. Y.¹\n29. Louisville, Ky.\n49. San Francisco-Oakland, Calif.¹\n9. Chattanooga, Tenn.¹\n- Macon, Ga.¹\n50. San Jose, Calif.\n10. Chicago, III.¹\n30. Memphis, Tenn.\n- Savannah, Ga.¹\n11. Cincinnati, Ohio 1\n31. Miami, Fla.¹\n51. Seattle, Wash.¹\n12. Cleveland, Ohio 1\n32. Milwaukee, Wis.¹\n52. Spokane, Wash.\n13. Columbus, Ohio 1\n33. Minneapolis-St. Paul, Minn.¹\n53. Springfield, Mass.¹\n14. Dallas, Texas'\n34. Nashville, Tenn.¹\n54. Syracuse, N. Y.¹\n15. Dayton, Ohio\n- Newark, N.J.\n55. Tacoma, Wash.¹\n16. Denver, Colo.\n35. New Haven, Conn.\n56. Toledo, Ohio\n- Des Moines, Iowa\n36. New Orleans, La.\n57. Trenton, N. J.\n17. Detroit, Mich.1\n37. New York, N. Y.\n58. Utica, N. Y.\n18. Duluth, Minn.\n38. Norfolk, Va.¹\n59. Washington, D. C.¹\n19. Durham, N. C.¹\n39. Oklahoma City, Okla.¹\n60. Westchester County, N. Y.\n- Elizabeth, N. J.\n40. Omaha, Nebr.\n61. Wichita, Kans.\n20. Flint, Mich.1\n41. Paterson, N. J.¹\n62. Honolulu, T. H.¹\n1 Includes adjacent tracted area.\n37\nReproduced at the National Archives\nAUSTIN\n7\nTable 1.-CHARACTERISTICS OF THE POPULATION, BY CENSUS TRACTS: 1950\n(Asterisk (*) denotes statistics based on 20-percent sample. For totals of age groups from complete count, see table 2. Median not shown where base is less than 500]\nThe\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nSubject\ncity\n1\n2\n3\n4\n5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\nSEX, RACE, AND NATIVITY\nTotal population, 1950\n132,459\n18,428\n12,242\n11,257\n7,614\n3,598\n10,386\n5,787\n12,734\n14,687\n6,502\n4,982\n5,116\n10,216\n4,897\n4,013\nMale\n64,956\n8,784\n5,822\n5,332\n3,950\n1,694\n5,859\n2,826\n5,892\n7,056\n3,180\n2,467\n2,671\n5,067\n2,350\n2,005\nFemale\n67,503\n9,644\n6,420\n5,925\n3,664\n1,904\n4,527\n2,961\n6,842\n7,631\n3,322\n2,515\n2,445\n5,149\n2,547\n2,007\nWhite\n114,652\n18,146\n11,148\n11,244\n6,517\n3,595\n10,316\n5,520\n2,015\n11,702\n6,468\n4,772\n4,648\n9,734\n4,870\n3,957\nNative\n111,090\n17,871\n10,925\n11,014\n6,353\n3,510\n10,013\n5,295\n1,904\n10,698\n6,179\n4,577\n4,475\n9,566\n4,786\n3,924\nForeign born\n3,562\n275\n223\n230\n164\n85\n303\n225\n111\n1,004\n289\n195\n173\n168\n84\n33\nNonwhite\n17,807\n282\n1,094\n13\n1,097\n3\n70\n267\n10,719\n2,985\n34\n210\n468\n482\n27\n50\nNegro\n17,667\n278\n1,084\n9\n1,094\n1\n18\n259\n10,715\n2,974\n12\n198\n466\n476\n27\n56\nOther races\n140\n4\n10\n4\n3\n2\n52\n8\n4\n11\n22\n12\n2\n6\nTotal population, 1940\n87,930\n(1)\n(1)\n(1)\n(1)\n3,033\n4,146\n5,348\n(1)\n(1)\n5,485\n7,212\n4,965\n(1)\n3,775\n(1)\nWhite\n73,025\n3,010\n3,995\n4,973\n5,475\n6,885\n4,392\n3,738\nNonwhite\n14,905\n23\n151\n375\n10\n327\n573\n37\nCOUNTRY OF BIRTH OF THE\nFOREIGN-BORN WHITE\nEngland and Wales\n162\n28\n15\n14\n11\n6\n18\n9\n1\n15\n3\n5\n15\n7\n12\n3\nScotland\n33\n7\n3\n8\n3\n2\n2\n1\n1\n2\n2\n2\nNorthern Ireland\n1\n1\nIreland (Eire)\n20\n1\n1\n4\n1\n7\n1\n2\n1\n1\n1\nNorway\n20\n2\n3\n1\n2\n2\n2\n7\n1\nSweden\n283\n15\n18\n63\n42\n11\n6\n36\n16\n12\n22\n9\n13\n9\n10\n1\nDenmark\n38\n6\n4\n7\n2\n3\n2\n4\n2\n2\n2\n4\nNetherlands\n10\n2\n1\n2\n2\n1\n1\n1\nFrance\n50\n10\n6\n6\n3\n1\n9\n5\n1\n1\n1\n3\n4\nGermany\n358\n26\n35\n44\n25\n13\n27\n35\n15\n19\n16\n14\n35\n22\n21\n11\nPoland\n80\n35\n2\n1\n2\n13\n5\n9\n6\n5\n2\nCzechoslovakia\n89\n4\n26\n11\n6\n2\n9\n7\n1\n2\n4\n4\n9\n1\n2\n1\nAustria\n38\n4\n5\n1\n3\n5\n4\n1\n2\n1\n3\n7\n1\n1\nHungary\n14\n2\n2\n1\n1\n1\n1\n2\n1\n3\nYugoslavia\n10\n1\n3\n3\n1\n1\n1\nU. S. S. R\nI\n63\n24\n13\n2\n1\n1\n5\n3\n1\n4\n7\n1\n1\nLithuania\n8\n2\n1\n1\n2\n2\nFinland\n2\n1\n1\nRumania\n7\n1\n2\n1\n3\nGreece\n30\n1\n4\n1\n1\n2\n4\n9\n2\n1\n1\n2\n1\n1\nItaly\n58\n7\n8\n6\n2\n3\n3\n9\n1\n4\n11\n2\n2\nOther Europe\n71\n10\n5\n5\n5\n4\n12\n9\n2\n3\n2\n5\n1\n5\n1\n2\nAsia\n192\n16\n10\n19\n7\n13\n51\n16\n1\n27\n4\n14\n3\n8\n1\n2\nCanada-French\n12\n1\n2\n2\n1\n2\n1\n1\n1\n1\nCanada-Other\n126\n27\n9\n10\n10\n5\n21\n6\n1\n1\n9\n10\n6\n9\n2\nMexico\n1,579\n19\n35\n15\n21\n8\n38\n49\n67\n901\n220\n96\n36\n66\n4\n4\nOther America\n123\n18\n7\n4\n15\n7\n48\n8\n1\n4\n1\n3\n4\n2\n1\nAll other and not reported\n85\n9\n10\n7\n1\n14\n8\n2\n3\n4\n6\n4\n12\n3\n2\nMARRIED COUPLES AND HOUSEHOLDS\nMarried couples,* number\n28,055\n4,390\n2,100\n3,170\n1,920\n870\n1,210\n960\n2,665\n2,505\n1,370\n855\n1,175\n2,515\n1,265\n1,085\nWith own household\n25,970\n4,255\n1,960\n2,995\n1,810\n840\n1,025\n865\n2,255\n2,210\n1,290\n735\n1,100\n2,365\n1,210\n1,055\nWithout own household\n2,085\n135\n140\n175\n110\n30\n185\n95\n410\n295\n80\n120\n75\n150\n55\n30\nFamilies and unrelated individuals*\n49,035\n5,840\n2,825\n3,850\n2,860\n1,825\n8,385\n3,205\n4,505\n3,880\n1,835\n2,240\n1,725\n3,285\n1,575\n1,200\nFamilies\n31,345\n4,730\n2,220\n3,330\n2,090\n1,040\n1,415\n1,265\n3,240\n2,855\n1,560\n1,065\n1,340\n2,695\n1,355\n1,145\nUnrelated individuals\n17,690\n1,110\n605\n520\n770\n785\n6,970\n1,940\n1,265\n1,025\n275\n1,175\n385\n590\n220\n55\nHouseholds, number\n35,538\n5,190\n2,570\n3,520\n2,397\n1,201\n1,730\n1,831\n3,387\n3,358\n1,760\n1,455\n1,471\n2,863\n1,630\n1,175\nPopulation in households\n115,318\n15,912\n8,326\n11,126\n7,322\n3,293\n4,569\n4,790\n12,151\n14,299\n6,441\n4,188\n4,415\n9,632\n4,863\n3,991\nPopulation per household\n3.24\n3.07\n3.24\n3.16\n3.05\n2.74\n2.64\n2.62\n3.59\n4.26\n3.66\n2.88\n3.00\n3.36\n2.98\n3.40\nInstitutional population\n6,667\n2,261\n3,517\n54\n52\n10\n42\n14\n5\n118\n592\n2\n*YEARS OF SCHOOL COMPLETED\nPersons 25 years old and over\n71,880\n10,805\n8,095\n6,905\n4,340\n2,175\n3,335\n3,235\n6,740\n6,460\n3,290\n2,965\n3,410\n5,300\n2,825\n2,000\nNo school years completed\n2,490\n30\n325\n15\n20\n20\n10\n70\n270\n1,075\n235\n175\n90\n145\n10\nElementary: 1 to 4 years\n6,090\n210\n1,045\n180\n215\n60\n50\n130\n1,055\n1,655\n515\n240\n200\n405\n60\n70\n5 and 6 years\n5,930\n265\n780\n385\n275\n80\n55\n125\n1,115\n1,000\n595\n270\n365\n415\n90\n115\n7 years\n4,300\n215\n500\n420\n205\n40\n80\n105\n655\n560\n420\n205\n205\n450\n125\n115\n8 years\n5,690\n380\n675\n635\n280\n125\n80\n200\n775\n570\n360\n330\n355\n495\n220\n210\nHigh school:\n1 to 3 years\n12,060\n1,090\n1,480\n1,595\n595\n180\n160\n325\n1,430\n785\n755\n410\n645\n1,455\n745\n410\n4 years\n11,865\n1,990\n1,265\n1,475\n1,035\n485\n480\n815\n555\n370\n180\n555\n595\n870\n590\n6C5\nCollege:\n1 to 3 years\n10,885\n2,580.\n980\n1,125\n835\n590\n1,045\n725\n385\n180\n170\n405\n460\n610\n535\n260\n4 years or more\n10,125\n2,985\n645\n1,005\n855\n530\n1,335\n675\n395\n185\n25\n290\n240\n375\n420\n165\nSchool years not reported\n2,445\n1,060\n400\n70\n25\n65\n40\n65\n105\n80\n35\n85\n255\n80\n40\n40\nMedian school years completed\n11.5\n13.8\n10.1\n12.1\n12.5\n13.3\n15.1\n12.8\n8.3\n5.9\n7.7\n10.6\n10.7\n10.4\n12.3\n12.1\n*RESIDENCE IN 1949\nPersons 1 year old and over, 1950\n128,740\n18,035\n11,945\n10,920\n7,455\n3,550\n10,280\n5,545\n12,355\n14,020\n6,375\n4,730\n5,000\n9,885\n4,745\n3,900\nSame house as in 1950\n89,060\n12,870\n8,505\n7,500\n4,855\n2,465\n5,600\n3,225\n9,745\n10,505\n4,570\n2,995\n3,635\n7,315\n3,160\n2,115\nDifferent house, same county\n23,980\n1,805\n2,205\n1,575\n530\n2,355\n1,330\n1,890\n2,585\n1,345\n955\n790\n1,615\n960\n2,905\n1,135\nDifferent county or abroad\n14,920\n2,205\n1,560\n1,165\n1,005\n475\n2,275\n895\n665\n895\n420\n690\n560\n875\n610\n625\nResidence not reported\n780\n55\n75\n50\n20\n80\n50\n95\n55\n35\n40\n90\n15\n80\n15\n25\nINCOME IN 1949\nTotal families and unrelated individuals\n49,035\n5,840\n2,825\n3,850\n2,860\n1,825\n8,385\n3,205\n4,505\n3,880\n1,835\n2,240\n1,725\n3,285\n1,575\n1,200\nLess than $500\n9,050\n360\n170\n255\n310\n410\n3,985\n675\n920\n725\n160\n365\n140\n430\n80\n65\n$500 to $999\n5,015\n275\n155\n170\n275\n170\n1,350\n400\n725\n600\n230\n340\n105\n125\n75\n20\n$1,000 to $1,499\n4,600\n355\n300\n215\n260\n150\n745\n365\n730\n590\n130\n240\n145\n190\n105\n30\n$1,500 to $1,999\n4,015\n255\n160\n235\n175\n85\n445\n335\n700\n650\n240\n200\n140\n260\n65\n70\n$2,000 to $2,499\n4,140\n375\n205\n410\n205\n145\n300\n350\n470\n4CO\n245\n255\n165\n365\n130\n120\n$2,500 to $2,999\n3,490\n375\n340\n355\n185\n110\n270\n195\n245\n275\n260\n135\n125\n355\n160\n105\n$3,000 to $3,499\n3,595\n495\n260\n425\n255\n140\n225\n175\n185\n225\n200\n145\n205\n370\n130\n160\n$3,500 to $3,999\n2,765\n365\n225\n355\n290\n90\n165\n140\n115\n85\n120\n135\n165\n285\n115\n115\n$4,000 to $4,499\n2,200\n335\n180\n305\n145\n80\n90\n105\n35\n80\n70\n85\n145\n210\n120\n165\n$4,500 to $4,999\n1,590\n255\n215\n230\n130\n50\n90\n45\n35\n45\n40\n50\n105\n135\n70\n95\n$5,000 to $5,999\n2,580\n465\n200\n365\n270\n115\n135\n115\n75\n80\n60\n65\n90\n205\n20C\n140\n$6,000 to $6,999\n1,385\n395\n135\n165\n100\n55\n100\n50\n30\n25\n10\n35\n55\n80\n110\n40\n$7,000 to $9,999\n1,585\n550\n120\n150\n160\n95\n100\n95\n25\n10\n20\n30\n55\n75\n85\n15\n$10,000 or more\n1,440\n705\n80\n95\n50\n65\n120\n80\n20\n10\n70\n20\n50\n65\n10\nIncome not reported\n1,585\n280\n80\n120\n50\n65\n265\n80\n95\n90\n40\n90\n65\n150\n65\n50\nMedian income\ndollars\n2,126\n3,897\n3,082\n3,265\n2,986\n2,224\n528\n1,683\n1,359\n1,483\n2,281\n1,825\n3,024\n2,778\n3,543\n3,522\n1 Not available; see P. 6.\nReproduced at the National Archives\n39\n8\nSTATISTICS FOR CENSUS TRACTS\nTable 2.-AGE, MARITAL STATUS, AND ECONOMIC CHARACTERISTICS, BY SEX, BY CENSUS TRACTS: 1950\nThe city\nTract 1\nTract 2\nTract 3\nTract 4\nTract 5\nTract 6\nSubject\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nAGE\nAll classes\n64,956\n67,503\n8,784\n9,644\n5,822\n6,420\n5,332\n5,925\n3,950\n3,664\n1,694\n1,904\n5,859\n4,527\nUnder 5 years\n7,224\n6,928\n975\n928\n571\n523\n633\n679\n460\n408\n118\n101\n150\n156\nUnder 1 year\n1,552\n1,475\n211\n192\n107\n106\n131\n119\n97\n100\n29\n22\n54\n34\n1 to 4 years\n5,672\n5,453\n764\n736\n464\n417\n502\n560\n363\n308\n89\n79\n96\n122\n5 to 9 years\n5,009\n4,878\n703\n719\n401\n386\n446\n435\n276\n236\n83\n77\n77\n61\n5 years\n1,071\n1,103\n152\n140\n83\n77\n94\n106\n61\n56\n13\n18\n18\n10\n6 years\n1,110\n1,083\n123\n153\n91\n86\n117\n97\n62\n60\n18\n20\n12\n12\n7 to 9 years\n2,823\n2,692\n428\n426\n227\n223\n235\n232\n153\n120\n52\n39\n47\n39\n10 to 14 years\n3,866\n3,790\n600\n595\n321\n267\n296\n325\n188\n173\n81\n81\n54\n49\n10 to 13 years\n3,098\n3,075\n468\n491\n253\n208\n221\n263\n146\n135\n63\n70\n43\n40\n14 years\n768\n715\n132\n104\n68\n59\n75\n62\n42\n38\n18\n11\n11\n9\n15 to 19 years\n5,245\n5,926\n648\n660\n296\n310\n279\n347\n236\n226\n113\n171\n1,197\n1,232\n15 years\n765\n773\n131\n128\n54\n50\n66\n57\n34\n33\n14\n11\n9\n13\n16 and 17 years\n1,515\n1,742\n232\n245\n117\n111\n102\n125\n64\n81\n31\n42\n115\n147\n18 and 19 years\n2,965\n3,411\n285\n287\n125\n149\n111\n165\n138\n112\n68\n115\n1,073\n1,072\n20 to 24 years\n8,977\n8,069\n904\n980\n446\n508\n471\n519\n620\n481\n362\n254\n2,630\n1,388\n25 to 29 years\n7,533\n6,555\n1,091\n1,052\n584\n601\n648\n582\n605\n413\n233\n184\n915\n345\n30 to 34 years\n5,056\n4,931\n753\n829\n517\n528\n531\n521\n348\n297\n116\n112\n216\n137\n35 to 39 years\n4,306\n4,984\n686\n894\n499\n592\n423\n471\n246\n290\n82\n89\n104\n122\n40 to 44 years\n3,926\n4,360\n647\n759\n521\n519\n371\n400\n222\n254\n68\n130\n81\n123\n45 to 49 years\n3,290\n3,630\n509\n609\n392\n425\n311\n359\n185\n193\n93\n126\n77\n140\n50 to 54 years\n2,690\n3,295\n439\n462\n310\n437\n266\n323\n137\n171\n94\n133\n71\n160\n145\n123\n82\n166\n55 to 59 years\n2,280\n2,745\n307\n388\n256\n355\n215\n261\n124\n76\n60 to 64 years\n1,892\n2,385\n236\n290\n233\n336\n144\n219\n105\n123\n58\n99\n70\n145\n1,517\n2,001\n137\n200\n171\n243\n120\n172\n80\n110\n48\n78\n48\n109\n65 to 69 years\n70 to 74 years\n1,022\n1,342\n82\n120\n122\n139\n84\n135\n56\n61\n36\n55\n48\n84\n75 to 84 years\n955\n1,360\n59\n140\n151\n162\n82\n145\n55\n63\n28\n58\n30\n92\n85 years and over\n168\n324\n8\n19\n31\n39\n7\n32\n7\n15\n5\n33\n9\n18\n21 years and over\n41,891\n44,063\n5,714\n6,530\n4,162\n4,843\n3,596\n4,043\n2,679\n2,541\n1,224\n1,408\n3,737\n2,430\nWhite\n56,863\n57,789\n8,672\n9,474\n5,403\n5,745\n5,326\n5,918\n3,432\n3,085\n1,692\n1,903\n5,811\n4,505\n118\n101\n150\n155\nUnder 5 years\nX\n6,307\n6,045\n974\n925\n570\n521\n633\n679\n398\n354\n5 to 9 years\n4,354\n4,237\n695\n709\n401\n386\n446\n435\n227\n189\n83\n77\n76\n61\n10 to 14 years\n3,300\n3,234\n562\n555\n317\n265\n295\n325\n148\n142\n81\n81\n54\n49\n15 to 19 years\n4,529\n4,941\n621\n604\n238\n299\n279\n347\n185\n164\n113\n171\n1,196\n1,231\n20 to 24 years\n8,165\n7,035\n9CO\n975\n420\n435\n468\n518\n567\n430\n362\n254\n2,616\n1,386\n25 to 29 years\n6,712\n5,718\n1,085\n1,043\n547\n504\n647\n581\n564\n375\n231\n183\n890\n341\n30 to 34 years\n4,524\n4,230\n749\n823\n434\n484\n531\n519\n320\n252\n116\n112\n213\n135\n35 to 39 years\n3,752\n4,231\n682\n883\n460\n518\n427\n470\n216\n246\n82\n89\n102\n121\n68\n130\n123\n40 to 44 years\n3,352\n3,686\n644\n756\n467\n432\n371\n399\n181\n211\n81\n45 to 49 years\n2,812\n3,043\n507\n601\n336\n355\n311\n359\n157\n162\n93\n126\n77\n137\n2,747\n435\n453\n267\n353\n266\n323\n111\n140\n94\n133\n70\n157\n50 to 54 years\n2,315\n1,949\n2,363\n305\n384\n221\n283\n215\n260\n103\n112\n76\n123\n82\n166\n55 to 59 years\n1,646\n2,056\n234\n287\n197\n265\n144\n219\n88\n108\n58\n99\n69\n143\n60 to 64 years\n194\n172\n67\n87\n48\n78\n48\n106\n65 to 69 years\n1,291\n1,639\n133\n196\n153\n120\n70 to 74 years\n884\n1,147\n80\n120\n108\n163\n84\n135\n47\n50\n36\n55\n48\n84\n75 years and over\n971\n1,437\n66\n155\n167\n177\n89\n177\n53\n63\n33\n91\n39\n110\n2\n1\n22\nNonwhite\n8,093\n9,714\n112\n170\n419\n675\n6\n7\n518\n579\n48\nUnder 5 years\n917\n883\n1\n3\n1\n2\n62\n54\n1\n5 to 9 years\n655\n641\n8\n10\n49\n47\n1\n10 to 14 years\n566\n556\n38\n40\n4\n2\n1\n40\n31\n15 to 19 years\n716\n985\n27\n56\n8\n11\n51\n62\n1\n1\n20 to 24 years\n812\n1,034\n4\n5\n26\n23\n3\n1\n53\n51\n14\n2\n25 to 29 years\n821\n837\n6\n9\n37\n37\n1\n1\n41\n38\n2\n1\n25\n4\n2\n30 to 34 years\n532\n701\n4\n6\n33\n44\n2\n28\n45\n3\n35 to 39 years\n554\n753\n4\n6\n39\n74\n1\n1\n30\n44\n2\n1\n40 to 44 years\n574\n674\n3\n3\n54\n87\n1\n41\n43\n8\n56\n69\n28\n31\n3\n45 to 49 years\n478\n587\n2\n50 to 54 years\n375\n548\n4\n9\n43\n84\n26\n31\n1\n3\n331\n382\n2\n4\n35\n72\n1\n21\n33\n55 to 59 years\n60 to 64 years\n246\n329\n2\n3\n36\n71\n17\n20\n1\n2\n49\n13\n23\n3\n65 to 69 years\n226\n362\n4\n4\n18\n70 to 74 years\n138\n195\n2\n14\n26\n9\n11\n75 years and over\n152\n247\n1\n4\n15\n24\n9\n15\nMARITAL STATUS\nPersons 14 years old and over\n49,625\n52,622\n6,638\n7,506\n4,597\n5,303\n4,032\n4,548\n3,068\n2,885\n1,430\n1,656\n5,589\n4,270\nSingle\n16,343\n12,625\n1,875\n1,975\n1,378\n1,075\n756\n673\n925\n447\n518\n455\n4,409\n2,702\nMarried\n30,398\n31,072\n4,604\n4,629\n2,834\n3,276\n3,131\n3,172\n1,990\n2,016\n854\n852\n1,086\n1,062\nWidowed or divorced\n2,884\n8,925\n159\n902\n385\n952\n145\n703\n153\n422\n58\n349\n94\n506\nEMPLOYMENT STATUS AND MAJOR\nOCCUPATION GROUP\nPersons 14 years old and over\n49,625\n52,622\n6,638\n7,506\n4,597\n5,303\n4,032\n4,548\n3,068\n2,885\n1,430\n1,656\n5,589\n4,270\nLabor force\n32,877\n18,589\n4,477\n2,137\n2,540\n1,291\n3,232\n1,587\n2,136\n1,196\n877\n626\n1,661\n1,307\nCivilian labor force\n31,985\n18,581\n4,366\n2,137\n2,473\n1,291\n3,093\n1,587\n2,031\n1,195\n860\n626\n1,633\n1,306\nEmployed\n31,052\n18,103\n4,303\n2,099\n2,432\n1,268\n3,054\n1,563\n1,984\n1,166\n850\n615\n1,595\n1,289\n18,984\n10,728\n1,812\n888\n1,289\n591\n1,710\n807\n1,123\n649\n384\n265\n752\n501\nPrivate wage and salary workers\nGovernment workers\n7,696\n6,088\n1,453\n1,053\n794\n564\n831\n629\n591\n434\n332\n316\n706\n661\nSelf-employed workers\n4,339\n1,143\n1,038\n143\n346\n95\n510\n120\n264\n72\n134\n31\n134\n123\nUnpaid family workers\n33\n144\n15\n3\n18\n3\n7\n6\n11\n...\n3\n3\n4\nUnemployed\n933\n478\n63\n38\n41\n23\n39\n24\n47\n29\n10\n11\n38\n17\nNot in labor force\n16,748\n34,033\n2,161\n5,369\n2,057\n4,012\n800\n2,961\n932\n1,689\n553\n1,030\n3,928\n2,963\nEmployed\n31,052\n18,103\n4,303\n2,099\n2,432\n1,268\n3,054\n1,563\n1,984\n1,166\n850\n615\n1,595\n1,289\nProfessional, technical, and kindred workers\n5,049\n2,823\n1,417\n471\n421\n218\n486\n263\n405\n195\n293\n173\n591\n364\nManagers, officials, and props., incl. farm\n4,704\n869\n1,090\n113\n419\n71\n642\n91\n297\n43\n151\n28\n167\n91\nClerical and kindred workers\n2,694\n6,147\n407\n957\n232\n453\n330\n654\n200\n459\n89\n301\n234\n512\nSales workers\n3,016\n1,401\n610\n160\n258\n119\n353\n166\n220\n87\n130\n49\n200\n54\n579\n25\n640\n18\n309\n9\n85\n3\n98\n9\nCraftsmen, foremen. and kindred workers\n5,518\n187\n351\n17\nOperatives and kindred workers\n3,762\n1,040\n173\n41\n251\n70\n292\n76\n188\n43\n37\n14\n84\n26\nPrivate household workers\n127\n2,362\n10\n98\n31\n2\n29\n8\n182\n7\n23\nService workers, except private household\n3,631\n3,102\n162\n220\n195\n274\n225\n254\n224\n141\n51\n37\n190\n196\nLaborers, except mine\n2,401\n71\n59\n5\n66\n4\n77\n4\n128\n3\n11\n1\n18\n3\nOccupation not reported\n150\n101\n24\n17\n11\n3\n7\n8\n5\n4\n3\n2\n13\n11\nReproduced at the National Archives\n40\nAUSTIN\n9\nTable 2.-AGE, MARITAL STATUS, AND ECONOMIC CHARACTERISTICS, BY SEX, BY CENSUS TRACTS: 1950-Con.\nTract 7\nTract 8\nTract 9\nTract 10\nTract 11\nTract 12\nTract 13\nTract 14\nTract 15\nSubject\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nMale\nFemale\nAGE\nAll classes\n2,826\n2,961\n5,892\n6,842\n7,056\n7,631\n3,180\n3,322\n2,467\n2,515\n2,671\n2,445\n5,067\n5,149\n2,350\n2,547\n2,006\n2,007\nUnder 5 years\n201\n173\n806\n747\n1,110\n1,144\n445\n409\n211\n180\n206\n211\n705\n640\n259\n251\n374\n378\nUnder 1 year\n54\n39\n172\n159\n230\n264\n92\n94\n49\n54\n54\n40\n146\n123\n57\n54\n69\n75\n1 to 4 years\n147\n134\n634\n588\n880\n880\n353\n315\n162\n126\n152\n171\n559\n517\n202\n197\n305\n303\n5 to 9 years\n114\n114\n519\n532\n884\n850\n297\n341\n135\n115\n142\n167\n556\n467\n172\n173\n204\n205\n5 years\n25\n26\n105\n112\n193\n205\n70\n79\n44\n30\n18\n37\n111\n102\n29\n52\n55\n53\n6 years\n24\n31\n122\n118\n191\n201\n76\n64\n31\n20\n36\n39\n120\n103\n41\n25\n46\n54\n7 to 9 years\n65\n57\n292\n302\n500\n44\n151\n198\n60\n65\n88\n91\n325\n262\n102\n96\n103\n98\n10 to 14 years\n79\n71\n453\n424\n656\n706\n258\n270\n98\n121\n125\n116\n398\n370\n161\n140\n98\n82\n10 to 13 years\n67\n48\n376\n356\n534\n590\n209\n223\n76\n94\n101\n89\n329\n300\n136\n106\n76\n62\n14 years\n12\n23\n77\n68\n122\n116\n49\n47\n22\n27\n24\n27\n69\n70\n25\n34\n22\n20\n15 to 19 years\n242\n261\n520\n658\n580\n729\n251\n257\n153\n244\n134\n180\n380\n391\n139\n167\n77\n93\n15 years\n16\n18\n82\n115\n124\n141\n47\n55\n19\n21\n24\n23\n97\n72\n28\n24\n20\n12\n16 and 17 years\n47\n59\n188\n248\n211\n242\n109\n84\n39\n73\n42\n59\n143\n142\n43\n52\n32\n32\n18 and 19 years\n179\n184\n250\n295\n245\n346\n95\n118\n95\n150\n68\n98\n140\n177\n68\n91\n25\n49\n20 to 24 years\n780\n526\n559\n758\n635\n761\n278\n316\n301\n299\n209\n239\n403\n530\n202\n225\n177\n285\n25 to 29 years\n470\n294\n569\n600\n613\n671\n288\n281\n279\n219\n220\n235\n475\n511\n225\n246\n318\n321\n30 to 34 years\n185\n164\n407\n498\n456\n470\n235\n233\n189\n145\n178\n163\n453\n430\n210\n213\n262\n191\n35 to 39 years\n125\n187\n401\n542\n451\n473\n211\n232\n152\n181\n163\n163\n384\n374\n199\n239\n175\n135\n40 to 44 years\n106\n170\n384\n443\n380\n404\n199\n176\n153\n173\n176\n149\n343\n346\n182\n230\n93\n84\n261\n263\n179\n162\n45 to 49 years\n95\n140\n324\n378\n330\n309\n165\n155\n137\n149\n171\n172\n61\n5C\n50 to 54 years\n79\n177\n227\n320\n248\n278\n114\n152\n139\n134\n171\n167\n214\n207\n133\n124\n48\n50\n87\n152\n212\n218\n203\n216\n125\n137\n134\n148\n170\n129\n147\n166\n102\n109\n40\n32\n55 to 59 years\n60 to 64 years\n77\n124\n140\n208\n174\n192\n104\n113\n114\n137\n201\n106\n132\n162\n77\n87\n27\n39\n65 to 69 years\n63\n137\n164\n215\n139\n205\n%\n101\n102\n96\n192\n113\n88\n118\n51\n80\n20\n24\n70 to 74 years\n64\n111\n91\n124\n%\n102\n57\n70\n77\n76\n102\n71\n65\n81\n28\n46\n16\n17\n75 to 84 years\n49\n127\n96\n135\n84\n98\n48\n64\n77\n79\n101\n47\n54\n86\n27\n44\n14\n20\n85 years and over\n10\n33\n20\n42\n19\n23\n11\n15\n16\n19\n10\n17\n9\n7\n4\n11\n2\n1\n2,030\n1,711\n2,962\n3,183\n1,597\n1,779\n1,242\n1,214\n21 years and over\n2,047\n2,219\n3,489\n4,317\n3,713\n4,025\n1,872\n1,972\n1,827\n1,798\nWhite\n2,700\n2,820\n995\n1,020\n5,738\n5,964\n3,164\n3,304\n2,323\n2,449\n2,452\n2,196\n4,840\n4,894\n2,336\n2,534\n1,979\n1,978\n177\n149\n177\n149\n978\n1,006\n442\n404\n209\n173\n174\n188\n680\n618\n258\n248\n369\n375\nUnder 5 years\n96\n98\n107\n125\n773\n738\n294\n340\n132\n114\n119\n146\n534\n444\n170\n173\n201\n202\n5 to 9 years\n10 to 14 years\n69\n64\n%\n89\n582\n611\n258\n270\n96\n115\n106\n93\n385\n357\n157\n137\n96\n81\n252\n64\n74\n457\n508\n251\n256\n149\n241\n122\n165\n360\n373\n139\n167\n74\n89\n15 to 19 years\n231\n761\n515\n90\n96\n472\n540\n278\n315\n276\n291\n194\n222\n384\n502\n202\n223\n175\n283\n20 to 24 years\n462\n280\n87\n68\n469\n524\n286\n279\n251\n212\n198\n209\n456\n495\n223\n245\n316\n319\n25 to 29 years\n235\n233\n177\n140\n166\n148\n440\n413\n209\n213\n261\n187\n30 to 34 years\n181\n154\n64\n60\n378\n357\n35 to 39 years\n120\n178\n51\n60\n366\n376\n210\n230\n140\n176\n156\n154\n370\n354\n199\n238\n171\n133\n102\n161\n51\n60\n290\n292\n195\n176\n140\n168\n159\n130\n331\n334\n181\n230\n91\n84\n40 to 44 years\n152\n250\n244\n179\n161\n61\n50\n45 to 49 years\n91\n133\n50\n46\n253\n216\n164\n154\n127\n146\n156\n50 to 54 years\n74\n169\n38\n44\n180\n192\n113\n150\n128\n127\n158\n147\n201\n189\n132\n122\n48\n48\n55 to 59 years\n83\n145\n34\n36\n145\n156\n124\n137\n129\n146\n159\n122\n133\n152\n101\n109\n39\n32\n152\n27\n60 to 64 years\n73\n122\n22\n39\n142\n152\n104\n113\n107\n133\n191\n100\n114\n76\n87\n37\n65 to 69 years\n60\n134\n27\n28\n106\n142\n94\n101\n97\n95\n184\n97\n83\n106\n51\n80\n20\n23\n16\n18\n69\n68\n57\n70\n74\n75\n99\n65\n61\n72\n28\n46\n15\n16\n70 to 74 years\n62\n110\n75 years and over\n58\n156\n23\n28\n78\n86\n59\n76\n91\n97\n111\n58\n58\n89\n31\n55\n15\n19\nNonwhite\n126\n141\n4,897\n5,822\n1,318\n1,667\n16\n18\n144\n66\n219\n249\n227\n255\n14\n13\n27\n29\nUnder 5 years\n24\n24\n629\n598\n132\n138\n3\n5\n2\n7\n32\n23\n25\n22\n1\n3\n5\n3\n5 to 9 years\n18\n16\n412\n407\n111\n112\n3\n1\n3\n1\n23\n21\n22\n23\n2\n3\n3\n10 to 14 years\n10\n7\n359\n335\n74\n95\n2\n6\n19\n23\n13\n13\n4\n3\n2\n1\n1\n4\n3\n12\n15\n20\n18\n3\n4\n15 to 19 years\n11\n9\n456\n584\n123\n221\n20 to 24 years\n19\n11\n469\n662\n163\n221\n1\n25\n8\n15\n17\n19\n28\n2\n2\n2\n25 to 29 years\n8\n14\n482\n532\n144\n147\n2\n2\n28\n7\n22\n26\n19\n16\n2\n1\n2\n2\n12\n5\n12\n15\n13\n17\n1\n1\n4\n30 to 34 years\n4\n10\n343\n438\n78\n113\n35 to 39 years\n5\n9\n350\n482\n85\n97\n1\n2\n12\n5\n7\n9\n14\n20\n1\n4\n2\n40 to 44 years\n4\n9\n333\n383\n90\n112\n4\n13\n5\n17\n19\n12\n12\n1\n2\n45 to 49 years\n4\n7\n274\n332\n77\n93\n1\n1\n10\n3\n15\n20\n11\n19\n1\n50 to 54 years\n5\n8\n189\n276\n68\n86\n1\n2\n11\n7\n13\n20\n13\n18\n1\n2\n2\n55 to 59 years\n4\n7\n178\n182\n58\n60\n1\n5\n2\n11\n7\n14\n14\n1\n1\n60 to 64 years\n4\n2\n118\n169\n32\n40\n7\n4\n10\n6\n18\n10\n1\n2\n65 to 69 years\n3\n3\n137\n187\n33\n63\n5\n1\n8\n16\n5\n12\n1\n70 to 74 years\n2\n1\n75\n106\n25\n34\n3\n1\n3\n6\n4\n9\n1\n1\n75 years and over\n1\n4\n93\n149\n25\n35\n3\n2\n1\n6\n5\n4\n1\n2\nMARITAL STATUS\nPersons 14 years old and over\n2,444\n2,626\n4,191\n5,207\n4,528\n5,047\n2,229\n2,349\n2,045\n2,126\n2,222\n1,978\n3,477\n3,742\n1,783\n2,017\n1,352\n1,362\nSingle\n1,177\n820\n1,063\n1,033\n1,299\n1,162\n528\n376\n562\n564\n674\n364\n732\n598\n283\n270\n164\n111\nMarried\n1,102\n1,130\n2,743\n2,925\n2,874\n2,966\n1,538\n1,564\n1,150\n1,057\n1,325\n1,213\n2,594\n2,619\n1,416\n1,437\n1,157\n1,154\nWidowed or divorced\n165\n676\n385\n1,249\n355\n919\n163\n409\n333\n505\n223\n401\n151\n525\n84\n310\n31\n97\nEMPLOYMENT STATUS AND MAJOR\nOCCUPATION GROUP\nPersons 14 years old and over\n2,444\n2,626\n4,191\n5,207\n4,528\n5,047\n2,229\n2,349\n2,045\n2,126\n2,222\n1,978\n3,477\n3,742\n1,783\n2,017\n1,352\n1,362\nLabor force\n1,360\n1,416\n3,074\n2,518\n3,576\n1,682\n1,806\n711\n1,460\n1,035\n1,307\n857\n2,695\n1,122\n1,507\n716\n1,169\n388\nCivilian labor force\n1,316\n1,415\n3,037\n2,517\n3,528\n1,682\n1,768\n711\n1,425\n1,033\n1,280\n856\n2,646\n1,121\n1,441\n716\n1,088\n388\nEmployed\n1,273\n1,377\n2,918\n2,438\n3,270\n1,565\n1,679\n670\n1,375\n1,018\n1,250\n839\n2,590\n1,110\n1,408\n705\n1,071\n381\nPrivate wage and salary workers\n760\n651\n2,305\n2,059\n2,660\n1,300\n1,252\n522\n1,005\n632\n737\n497\n1,706\n737\n799\n396\n690\n233\nGovernment workers\n385\n665\n409\n275\n319\n162\n250\n102\n200\n314\n339\n268\n522\n290\n342\n233\n223\n122\nSelf-employed workers\n128\n59\n200\n97\n283\n71\n177\n46\n168\n59\n172\n58\n360\n78\n267\n68\n158\n23\nUnpaid family workers\n2\n4\n7\n8\n32\n2\n13\n2\n16\n2\n5\n8\n3\nUnemployed\n43\n38\n119\n79\n258\n117\n89\n41\n50\n15\n30\n17\n56\n11\n33\n11\n17\n7\nNot in labor force\n1,084\n1,210\n1,117\n2,689\n952\n3,365\n423\n1,638\n585\n1,091\n915\n1,121\n782\n2,620\n276\n1,301\n183\n974\nEmployed\n1,273\n1,377\n2,918\n2,438\n3,270\n1,565\n1,679\n670\n1,375\n1,018\n1,250\n839\n2,590\n1,110\n1,408\n705\n1,071\n381\nProfessional, technical, and kindred workers\n291\n349\n156\n215\n102\n99\n58\n26\n149\n111\n131\n87\n217\n112\n218\n108\n114\n32\nManagers, officials, and props., incl. farm\n166\n59\n138\n44\n251\n38\n131\n34\n189\n64\n190\n46\n319\n62\n371\n61\n183\n24\nClerical and kindred workers\n163\n631\n61\n105\n108\n178\n87\n164\n140\n453\n144\n367\n243\n408\n155\n319\n101\n186\nSales workers\n137\n73\n75\n45\n121\n107\n108\n81\n114\n97\n119\n90\n290\n130\n174\n95\n107\n48\nCraftsmen, foremen, and kindred workers\n188\n10\n332\n8\n527\n11\n511\n16\n280\n15\n255\n7\n769\n20\n266\n10\n328\n9\nOperatives and kindred workers\n126\n48\n473\n109\n739\n264\n402\n121\n194\n59\n174\n45\n363\n93\n111\n18\n155\n13\nPrivate household workers\n2\n60\n66\n1,269\n29\n426\n1\n32\n4\n47\n1\n68\n4\n64\n14\n12\nService workers, except private household\n117\n140\n985\n620\n650\n427\n164\n181\n161\n156\n148\n121\n233\n210\n77\n72\n49\n53\nLaborers, except mine\n75\n1\n614\n17\n736\n10\n202\n5\n137\n9\n78\n3\n139\n3\n29\n32\n3\nOccupation not reported\n8\n6\n18\n6\n7\n5\n15\n10\n7\n7\n10\n5\n13\n8\n7\n8\n2\n1\nReproduced at the National Archives\n41\n10\nSTATISTICS FOR CENSUS TRACTS\nTable 3.-CHARACTERISTICS OF DWELLING UNITS, BY CENSUS TRACTS: 1950\n[Asterisk (*) denotes statistics based on 20-percent sample. Median not shown where base is less than 100]\nThe\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nTract\nSubject\ncity\n1\n2\n3\n4\n5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\nAll dwelling units\n37,342\n5,429\n2,725\n3,713\n2,538\n1,273\n1,816\n1,929\n3,532\n3,471\n1,745\n1,517\n1,571\n2,986\n1,698\n1,399\nOwner occupied\n18,385\n3,205\n1,733\n2,233\n1,259\n530\n430\n366\n1,736\n1,477\n839\n304\n647\n1,731\n961\n934\nNonwhite owners\n2,165\n4\n4\n1\n168\n5\n6\n1,461\n345\n5\n5\n66\n82\n5\n8\nRenter occupied\n17,100\n1,992\n851\n1,272\n1,150\n681\n1,307\n1,465\n1,661\n1,867\n851\n1,137\n821\n1,137\n668\n240\nNonwhite renters\n2,223\n7\n3\n2\n148\n11\n55\n1,405\n429\n1\n48\n70\n37\n1\n6\nVacant nonseasonal not dilapidated, for rent or sale\n1,170\n158\n99\n141\n97\n52\n52\n64\n56\n52\n31\n44\n72\n73\n42\n137\nOther vacant and nonresident\n687\n74\n42\n67\n32\n10\n27\n34\n79\n75\n24\n32\n31\n45\n27\n88\nTYPE OF STRUCTURE\n1 dwelling unit, detached (includes trailers)\n26,707-\n3,897\n2,364\n2,955\n1,848\n718\n710\n667\n2,907\n2,582\n1,291\n639\n968\n2,486\n1,331\n1,344\n1 dwelling unit, attached\n157\n12\n4\n15\n3\n3\n1\n31\n10\n5\n32\n31\n7\n1\n2\n1 and 2 dwelling unit, semidetached\n755\n152\n136\n168\n41\n3\n38\n13\n41\n44\n2\n4\n61\n36\n10\n6\n2 dwelling unit, other\n4,664\n612\n142\n472\n328\n376\n354\n328\n258\n420\n358\n300\n248\n184\n252\n32\n3 and 4 dwelling unit\n2,710\n306\n58\n88\n191\n107\n364\n417\n167\n263\n67\n298\n224\n69\n84\n7\n5 dwelling unit or more\n2,349\n450\n21\n15\n127\n69\n347\n503\n128\n152\n22\n244\n39\n204\n20\n8\nCONDITION AND PLUMBING FACILITIES\nNumber reporting\n36,614\n5,337\n2,683\n3,645\n2,511\n1,255\n1,773\n1,835\n3,475\n3,417\n1,678\n1,461\n1,556\n2,932\n1,673\n1,383\nNo private bath or dilapidated\n7,030\n152\n153\n202\n217\n32\n169\n332\n1,806\n1,926\n530\n510\n259\n464\n209\n69\nNo running water or dilapidated\n4,143\n58\n75\n69\n119\n14\n65\n172\n1,196\n1,256\n233\n369\n171\n227\n65\n54\nYEAR BUILT\nNumber reporting\n36,120\n5,240\n2,600\n3,600\n2,465\n1,225\n1,670\n1,755\n3,490\n3,415\n1,620\n1,505\n1,540\n2,945\n1,660\n1,390\n1940 or later\n13,615\n3,240\n1,335\n1,725\n1,265\n215\n285\n210\n805\n945\n250\n55\n170\n1,370\n510\n1,235\n1930 to 1939\n9,400\n1,530\n660\n865\n690\n550\n375\n185\n1,140\n945\n370\n165\n300\n890\n615\n120\n1920 to 1929\n5,565\n370\n310\n565\n230\n315\n585\n290\n745\n565\n290\n275\n435\n280\n300\n10\n1919 or earlier\n7,540\n100\n295\n445\n280\n145\n425\n1,070\n800\n960\n710\n1,010\n635\n405\n235\n25\nAll occupied dwelling units\n35,485\n5,197\n2,584\n3,505\n2,409\n1,211\n1,737\n1,831\n3,397\n3,344\n1,690\n1,441\n1,468\n2,868\n1,629\n1,174\nNUMBER OF PERSONS IN DWELLING UNIT\n116\n276\n148\n202\n113\n26\n1 person\n3,007\n305\n128\n210\n181\n127\n233\n326\n367\n249\n2 persons\n11,252\n1,676\n794\n1,084\n793\n480\n794\n814\n939\n705\n438\n488\n563\n819\n586\n279\n344\n334\n708\n646\n399\n294\n328\n739\n438\n387\n3 persons\n8,813\n1,495\n688\n1,004\n684\n325\n4 persons\n6,413\n1,122\n574\n745\n444\n180\n215\n185\n516\n520\n305\n177\n231\n597\n305\n297\n343\n405\n251\n87\n109\n124\n547\n657\n281\n134\n144\n390\n168\n157\n5 and 6 persons\n4,336\n539\n7 persons or more\n1,664\n60\n57\n57\n56\n12\n42\n48\n320\n567\n151\n72\n54\n121\n19\n28\nMedian number of persons\n2.9\n2.9\n3.0\n3.0\n2.8\n2.5\n2.3\n2.2\n3.1\n3.6\n3.2\n2.4\n2.6\n3.1\n2.8\n3.2\nPERSONS PER ROOM\nNumber reporting\n35,109\n5,153\n2,559\n3,484\n2,390\n1,196\n1,717\n1,788\n3,379\n3,319\n1,659\n1,394\n1,463\n2,837\n1,607\n1,164\n5,776\n196\n267\n283\n216\n44\n204\n225\n935\n1,469\n501\n287\n190\n615\n161\n183\n1.01 or more\nHEATING FUEL\nNumber reporting heating equipment\n35,275\n5,130\n2,610\n3,520\n2,385\n1,140\n1,755\n1,795\n3,355\n3,275\n1,670\n1,400\n1,530\n2,965\n1,575\n1,170\nCentral heating\n4,280\n1,425\n415\n655\n315\n110\n240\n145\n45\n15\n15\n75\n65\n370\n145\n245\nCoal\n115\n40\n10\n20\n20\n10\n5\n5\n5\nUtility or bottled gas\n4,010\n1,345\n400\n620\n290\n95\n230\n135\n20\n15\n15\n70\n55\n350\n135\n235\nLiquid fuel\n35\n5\n5\n5\n10\n5\n5\nOther fuel\n80\n35\n15\n5\n20\n5\nNot reported\n40\n5\n5\n5\n5\n5\n5\n5\n5\nNoncentral heating\n30,800\n3,680\n2,195\n2,845\n2,060\n1,030\n1,515\n1,650\n3,230\n3,245\n1,655\n1,315\n1,465\n2,575\n1,425\n915\nCoal\n140\n10\n5\n20\n50\n10\n20\n5\n10\n10\nUtility or bottled gas\n27,130\n3,490\n2,150\n2,790\n1,860\n960\n1,490\n1,490\n2,050\n2,215\n1,540\n1,150\n1,360\n2,340\n1,400\n845\nLiquid fuel\n1,595\n70\n20\n10\n80\n10\n90\n500\n555\n60\n45\n45\n85\n15\n10\nOther fuel\n1,830\n95\n25\n30\n90\n5\n5\n65\n660\n465\n35\n110\n50\n135\n10\n50\nNot reported\n105\n15\n10\n10\n15\n5\n5\n20\n10\n10\n5\nNot heated\n195\n25\n20\n10\n80\n15\n10\n20\n5\n10\nREFRIGERATION EQUIPMENT\nNumber reporting\n35,140\n5,150\n2,585\n3,515\n2,430\n1,225\n1,740\n1,855\n3,360\n3,310\n1,655\n1,400\n1,420\n2,755\n1,630\n1,110\nMechanical\n28,770\n4,990\n2,400\n3,355\n2,195\n1,175\n1,490\n1,570\n1,850\n1,540\n1,165\n965\n1,205\n2,300\n1,530\n1,040\nIce\n4,685\n110\n135\n145\n205\n25\n60\n205\n1,205\n1,290\n390\n245\n175\n365\n95\n35\nOther or none\n1,685\n50\n50\n15\n30\n25\n190\n80\n305\n480\n100\n190\n40\n90\n5\n35\nTELEVISION\nNumber reporting\n35,100\n5,115\n2,520\n3,470\n2,440\n1,215\n1,745\n1,815\n3,370\n3,310\n1,650\n1,410\n1,440\n2,825\n1,605\n1,170\nWith television\n205\n30\n15\n20\n25\n10\n25\n5\n5\n20\n5\n5\n15\n5\n20\nCONTRACT MONTHLY RENT\nRenter occupied; and vacant nonseasonal not di-\nlapidated units, for reat-Number reporting.\n16,622\n1,905\n819\n1,245\n1,150\n684\n1,285\n1,467\n1,584\n1,734\n823\n1,112\n816\n1,076\n648\n274\nLess than $10\n442\n1\n3\n3\n15\n4\n19\n94\n170\n27\n63\n10\n28\n3\n2\n$10 to $19\n1,977\n10\n14\n17\n69\n8\n8\n109\n591\n653\n178\n144\n76\n82\n9\n9\n$20 to $29\n2,524\n344\n43\n73\n170\n26\n82\n128\n543\n481\n207\n161\n78\n146\n31\n11\n$30 to $39\n2,675\n374\n113\n160\n128\n51\n138\n203\n232\n239\n202\n175\n163\n326\n127\n4\n$10 to $49\n2,179\n111\n134\n205\n120\n123\n258\n261\n78\n100\n115\n198\n156\n143\n142\n35\n$50 to $59\n2,141\n171\n181\n216\n134\n133\n267\n248\n20\n58\n64\n184\n144\n150\n118\n53\n$60 to $74\n2,269\n290\n181\n289\n214\n179\n264\n240\n20\n20\n25\n110\n119\n123\n120\n75\n$75 to $99\n1,902\n420\n133\n252\n262\n122\n210\n171\n6\n12\n5\n65\n59\n68\n83\n34\n$100 or more\n513\n184\n17\n30\n38\n42\n54\n88\n1\n12\n11\n10\n15\n11\nMedian rent\ndollars\n42.68\n56.08\n55.16\n57.12\n54.95\n59.58\n55.21\n50.04\n21.47\n20.41\n29.48\n40.16\n44.69\n38.15\n50.52\n56.29\nVALUE OF ONE-DWELLING-UNIT STRUCTURES\nOwner occupied;1 and vacant nonseasonal not di-\nlapidated units, for sale-Number reporting\n15,417\n2,880\n1,621\n1,939\n1,109\n379\n242\n200\n1,452\n1,103\n673\n153\n506\n1,481\n726\n953\n37\nLess than $3,000\n1,417\n55\n41\n19\n69\n1\n6\n4\n478\n356\n145\n17\n42\n136\n11\n$3,000 to $3,999\n1,010.\n18\n47\n44\n42\n2\n2\n6\n279\n194\n164\n17\n20\n144\n7\n24\n13\n26\n163\n20\n26\n$4,000 to $4,999\n1,004\n24\n70\n74\n47\n6\n1\n3\n264\n146\n121\n$5,000 to $7,499\n3,304\n128\n492\n533\n207\n48\n12\n19\n293\n234\n194\n18\n135\n471\n158\n362\n20\n73\n100\n32\n10\n117\n354\n237\n411\n$7,500 to $9,999\n3,309\n357\n544\n585\n375\n70\n24\n$10,000 to $14,999\n2,993\n1,037\n324\n454\n263\n134\n76\n43\n38\n48\n16\n16\n108\n155\n204\n77\n230\n106\n118\n121\n105\n27\n25\n1\n62\n58\n58\n89\n16\n$15,000 or more\n2,380\n1,261\n103\nMedian value\ndollars\n8,185\n14,087\n8,188\n8,730\n8,713\n12,282\n14,950\n15,843\n3,839\n3,960\n4,177\n10,419\n8,091\n6,529\n9,212\n7,617\n1 Restricted to 1-dwelling-unit properties.\nReproduced at the National Archives\n42\nAUSTIN\n11\nTable 4.-CHARACTERISTICS OF THE NONWHITE POPULATION, FOR SELECTED CENSUS TRACTS: 1950\n[Tracts listed are those which contain 250 or more nonwhite persons. Asterisk (*) denotes statistics based on 20-percent sample. For totals of age groups from complete count, see table 2.\nMedian not shown where base is less than 500]\nSubject\nTract 1\nTract 2\nTract 4\nTract 7\nTract 8\nTract 9\nTract 12\nTract 13\nMARITAL STATUS\nMale, 14 years old and over\n74\n414\n371\n77\n3,554\n1,012\n151\n172\nSingle\n44\n204\n99\n30\n910\n314\n31\n4\nMarried\n23\n144\n229\n35\n2,297\n585\n109\n110\nWidowed or divorced\n7\n66\n43\n12\n347\n113\n11\n13\nFemale, 14 years old and over\n126\n672\n454\n96\n4,535\n1,338\n185\n198\nSingle\n76\n147\n81\n13\n918\n380\n20\n31\nMarried\n30\n329\n254\n47\n2,475\n641\n114\n122\nWidowed or divorced\n20\n196\n119\n36\n1,142\n317\n51\n45\nMARRIED COUPLES\nMarried couples, number\n25\n5\n230\n15\n2,160\n400\n75\n60\nWith own household\n10\n5\n210\n10\n1,785\n345\n70\n35\nWithout own household\n15\n20\n5\n375\n55\n5\n25\nYEARS OF SCHOOL COMPLETED\nPersons 25 years old and over\n120\n1,040\n635\n95\n5,735\n1,525\n255\n240\nNo school years completed\n10\n110\n20\n165\n55\n5\n30\nElementary: 1 to 4 years\n25\n350\n120\n10\n840\n325\n40\n45\n5 and 6 years\n10\n140\n105\n5\n980\n275\n75\n15\n7 years\n5\n40\n70\n25\n550\n190\n20\n30\n8 years\n10\n55\n40\n10\n670\n120\n35\n25\nHigh school:\n1 to 3 years\n20\n75\n125\n15\n1,250\n240\n50\n60\n4 years\n30\n75\n470\n125\n25\n10\nCollege:\n1 to 3 years\n25\n20\n40\n5\n350\n85\n5\n10\n4 years or more\n15\n5\n40\n15\n355\n100\n10\nSchool years not reported\n215\n10\n105\n10\n5\nMedian school years completed\n4.5\n8.1\n8.4\n7.5\nRESIDENCE IN 1949\nPersons 1 year old and over, 1950\n295\n1,095\n1,070\n220\n10,400\n2,900\n445\n45\nSame house as in 1950\n240\n985\n845\n185\n8,400\n2,200\n375\n400\nDifferent house, same county\n15\n30\n175\n20\n1,445\n435\n45\n30\nDifferent county or abroad\n30\n70\n50\n10\n505\n265\n10\n15\nResidence not reported\n10\n10\n5\n50\n15\nEMPLOYMENT STATUS AND MAJOR\nOCCUPATION GROUP\nMale, 14 years old and over\n74\n414\n371\n77\n3,554\n1,012\n151\n172\nLabor force\n34\n6\n296\n50\n2,593\n771\n116\n129\nCivilian labor force\n34\n6\n296\n50\n2,563\n764\n116\n128\nEmployed\n34\n6\n285\n43\n2,461\n709\n116\n122\nUnemployed\n11\n7\n102\n55\n6\nNot in labor force\n40\n408\n75\n27\n961\n241\n35\n43\nFemale, 14 years old and over\n126\n672\n454\n96\n4,535\n1,338\n185\n198\nLabor force\n50\n7\n244\n51\n2,318\n713\n69\n87\nCivilian labor force\n50\n7\n243\n51\n2,317\n713\n69\n87\nEmployed\n50\n7\n233\n46\n2,246\n662\n69\n86\nUnemployed\n10\n5\n71\n51\n1\nNot in labor force\n76\n665\n210\n45\n2,217\n625\n116\n111\nMale, employed\n34\n6\n285\n43\n2,461\n709\n116\n122\nProfessional, technical, and kindred workers\n5\n9\n139\n50\n5\n2\nManagers, officials, and props., incl. farm\n11\n88\n23\n1\n2\nClerical and kindred workers\n3\n44\n12\n1\n2\nSales workers\n6\n42\n7\n...\n1\nCraftsmen, foremen, and kindred workers\n4\n20\n6\n215\n48\n10\n20\nOperatives and kindred workers\n1\n23\n7\n373\n112\n12\n21\nPrivate household workers\n8\n7\n2\n65\n17\n1\n4\nService workers, except private household\n6\n3\n116\n15\n932\n256\n47\n29\nLaborers, except mine\n9\n2\n82\n13\n547\n183\n37\n38\nOccupation not reported\n1\n1\n3\n16\n1\n2\n3\nFemale, employed\n50\n7\n233\n46\n2,246\n662\n69\n86\nProfessional, technical, and kindred workers.\n7\n13\n2\n188\n60\n2\n3\nManagers, officials, and props., incl. farm\n1\n30\n7\n3\n1\nClerical and kindred workers\n2\n56\n30\n2\nSales workers\n5\n1\n24\n9\n1\nCraftsmen, foremen, and kindred workers\n1\n1\n5\n2\nOperatives and kindred workers\n3\n2\n5\n90\n24\n2\n3\nPrivate household workers\n26\n6\n150\n27\n1,253\n337\n51\n53\nService workers, except private household\n14\n1\n57\n10\n574\n190\n12\n22\nLaborers, except mine\n1\n15\n2\nOccupation not reported\n1\n6\n1\nINCOME IN 1949\nTotal families and unrelated individuals\n80\n15\n355\n70\n3,895\n1,240\n125\n70\nLess than $500\n20\n10\n85\n30\n850\n440\n40\n15\n$500 to $999\n20\n5\n55\n10\n645\n215\n15\n15\n$1,000 to $1,499\n5\n50\n10\n710\n145\n30\n20\n$1,500 to $1,999\n5\n65\n5\n600\n170\n20\n10\n$2,000 to $2,499\n10\n40\n5\n385\n75\n10\n$2,500 to $2,099\n5\n15\n210\n55\n10\n$3,000 to $3,499\n5\n20\n145\n50\n5\n$3,500 to $3,999\n15\n75\n20\n$4,000 to $4,499\n5\n70\n10\n$4,500 to $4,000\n15\n5\n$5,000 to $5,999\n55\n5\n$6,000 to $6,999\n20\n$7,000 to $9,999\n20\n10\n$10,000 or more\n10\nIncome not reported\n10\n5\n10\n85\n40\n5\nMedian income\ndollars\n1,289\n872\nReproduced at the National Archives\n43\n12\nSTATISTICS FOR CENSUS TRACTS\nTable 5.-CHARACTERISTICS OF DWELLING UNITS OCCUPIED BY NONWHITE PERSONS, FOR SELECTED\nCENSUS TRACTS: 1950\n[Tracts listed are those which contain 250 or more nonwhite persons. Median not shown where base is less than 100]\nSubject\nTract 1\nTract 2\nTract 4\nTract 7\nTract 8\nTract 9\nTract 12\nTract 13\nTotal dwelling units\n11\n7\n316\n61\n2,866\n774\n136\nCONDITION AND PLUMBING FACILITIES\n119\nNumber reporting\n11\nNo private bath or dilapidated\n7\n310\n57\n3\n3\n2,816\n761\n143\n135\nNo running water or dilapidated\n51\n3\n1,488\n118\n3\n490\n87\n48\n73\n974\n67\n321\n52\nNUMBER OF PERSONS IN DWELLING UNIT\n36\n1 person\n2\n2 persons\n1\n45\n11\n7\n323\n2\n101\n85\n16\n3 persons\n13\n1\n811\n13\n2\n231\n69\n44\n4 persons\n8\n590\n35\n2\n155\n44\n23\n5 and 6 persons\n9\n435\n21\n1\n98\n7 persons or more\n46\n19\n13\n449\n8\n126\n27\n20\n7\n258\n27\nMedian number of persons\n63\n14\n15\n2.9\n...\n3.0\n2.9\n2.8\nPERSONS PER ROOM\n3.0\nNumber reporting\n11\n1.01 or more\n7\n313\n61\n1\n2,852\n1\n766\n72\n136\n32\n758\n119\n210\n35\nCONTRACT MONTHLY RENT\n36\nRenter-occupied units reporting\n1\nLess than $10\n2\n142\n54\n1,311\n395\n12\n63\n$10 to $14\n7\n81\n34\n36\n$15 to $19\n21\n7\n29\n238\n6\n102\n35\n24\n$20 to $29\n9\n304\n8\n102\n$30 to $39\n48\n16\n8\n457\n7\n95\n20\n11\n$40 to $49\n193\n9\n48\n5\n4\n$50 to $74\n27\n3\n5\n$75 or more\n1\n1\n11\n5\n1\n1\n...\nMedian rent\ndollars\n...\n2\n...\n...\n20.13\n...\n20.21\n17.42\nVALUE OF ONE-DWELLING-UNIT\nSTRUCTURES\nOwner-occupied units reporting¹\n3\n4\nLess than $2,000\n151\n4\n1,230\n3\n270\n$2,000 to $2,999\n21\n62\n2\n214\n77\n32\n29\n13\n$3,000 to $3,999\n205\n19\n62\n25\n17\n$4,000 to $4,999\n...\n1\n237\n13\n58\n24\n7\n$5,000 to $9,999\n231\n22\n$10,000 to $14,999\n1\n53\n40\n12\n3\n295\n11\n1\n51\n$15,000 or more\n10\n13\n12\n29\n9\n2\nMedian value\n19\ndollars\n5\n3,971\n3,777\n3,657\n1 Restricted to 1-dwelling-unit properties.\n44\nReproduced at the National Archives\nAUSTIN\n13\nTable 6.-CHARACTERISTICS OF THE WHITE POPULATION WITH SPANISH SURNAME, FOR SELECTED\nCENSUS TRACTS: 1950\n[Tracts listed are those which contain 250 or more white persons with Spanish surname. Asterisk (*) denotes statistics based on 20-percent sample. Median not shown where base is less than 500;\nTract\nSubject\nTract\nTract\nTract\nTract\nTract\n10\nSubject\nTract\nTract\nTract\nTract\nTract\n7\n8\n9\n11\n13\nTract\n7\n8\n9\n10\n11\n13\nTotal population\n357\n579\n6,696\n1,637\n853\n857\nMARITAL STATUS\nMale, 14 years old and over\n108\n149\n1,930\n480\nAGE\n267\n243\nSingle\n47\n43\n602\n155\n82\nMale, all ages\n182\n279\n3,265\n808\n439\n432\n80\nMarried\n50\n97\n1,195\n291\n153\n155\nUnder 5 years\n36\n60\n585\n162\n79\n80\nWidowed or divorced\n11\n9\n133\n34\n32\n8\n5 to 9 years\n21\n41\n453\n102\n60\n67\n10 to 14 years\n21\n36\n360\n80\n39\n47\nFemale, 14 years old and over\n106\n155\n2,022\n498\n271\n252\n15 to 19 years\n9\n15\n274\n69\n37\n42\nSingle\n30\n35\n498\n138\n77\n71\n20 to 24 years\n35\n20\n267\n70\n32\n35\nMarried\n51\n103\n1,226\n299\n154\n159\n25 to 29 years\n19\n26\n269\n66\n30\n35\nWidowed or divorced\n25\n17\n298\n61\n40\n22\n30 to 34 years\n10\n18\n208\n48\n30\n28\n35 to 39 years\n7\n12\n196\n50\n27\n22\nYEARS OF SCHOOL COMPLETED\n40 to 44 years\n7\n8\n153\n40\n17\n25\nPersons 25 years old and over\n150\n205\n2,535\n620\n45 to 49 years\n3\n12\n144\n32\n23\n16\n325\n340\n50 to 54 years\n1\n7\n98\n22\n11\n15\nNo school years completed\n40\n75\n765\n175\n110\n70\n55 to 59 years\n5\n5\n68\n22\n17\n5\nElementary: 1 to 4 years\n50\n70\n805\n155\n80\n135\n60 to 64 years\n3\n6\n66\n16\n9\n5\n5 and 6 years\n10\n25\n390\n115\n35\n40\n65 to 69 years\n3\n6\n52\n13\n14\n4\n7 years\n5\n10\n160\n70\n10\n20\n70 to 74 years\n2\n33\n8\n7\n5\n8 years\n15\n1C\n150\n25\n20\n75 years and over\n7\n39\n8\n7\n1\nHigh school:\n1\n3\n20\nto\nyears\n10\n135\n40\n45\n25\n4 years\n10\n55\n21 years and over\n15\n89\n121\n1,546\n377\n218\n188\n5\nCollege:\nI to 3 years\n20\n15\n5\n20\n15\n10\n4 years or more\n175\n5\nFemale, all ages\n300\n3,431\n829\n414\n15\n425\nSchool years not reported\n5\n40\n10\n10\n5\nUnder 5 years\n33\n68\n639\n120\n62\n75\nMedian school years completed\n5 to 9 years\n29\n49\n443\n127\n3.4\n45\n57\n4.4\n10 to 14 years\n9\n35\n391\n97\n48\n51\n15 to 19 years\n18\n26\n299\n76\n53\n41\nEMPLOYMENT STATUS\n20 to 24 years\n20\n27\n338\n88\n34\n50\nMale, 14 years old and over\n108\n149\n1,930\n480\n267\n243\n25 to 29 years\n21\n18\n280\n73\n37\n33\nLabor force\n52\n104\n1,544\n390\n30 to 34 years\n10\n16\n203\n186\n49\n16\n22\n181\nCivilian labor force\n52\n104\n18\n1,537\n388\n4\n186\n35 to 39 years\n209\n57\n37\n19\n180\nEmployed\n45\n100\n7\n1,407\n357\n181\n40 to 44 years\n11\n151\n22\n23\n172\n27\nUnemployed\n7\n4\n130\n31\n5\n8\n45 to 49 years\n9\n7\n121\n35\n15\n17\nNot in labor force\n56\n45\n386\n90\n81\n62\n50 to 54 years\n4\n7\n89\n25\n7\n11\n55 to 59 years\n3\n5\n74\n26\n13\n8\nFemale, 14 years old and over\n106\n155\n2,022\n498\n271\n252\n60 to 64 years\n7\n68\n15\n11\n3\nLabor force\n30\n34\n497\n129\n66\n51\n65 to 69 years\n5\n2\n70\n10\n5\n5\nCivilian labor force\n30\n34\n497\n129\n66\n51\n70 to 74 years\n1\n24\n3\n3\n2\nEmployed\n28\n27\n448\n113\n65\n46\n75 years and over\n2\n4\n32\n6\n5\n4\nUnemployed\n2\n7\n49\n16\n1\n5\n21 years and over\n85\n114\n1,585\n386\n198\nNot in labor force\n191\n76\n121\n1,525\n369\n205\n201\nCITIZENSHIP AND BIRTHPLACE\nAll persons\n357\n579\n6,696\n1,637\n853\n857\nNative\n313\n518\n5,952\n1,436\n756\n802\nForeign born\n44\n61\n744\n201\n97\n55\nBorn in Mexico\n40\n60\n733\n200\n94\n52\nBorn in other countries\n4\n1\n11\n1\n3\n3\nNaturalized\n13\n27\n160\n40\n43\n38\nAlien\n27\n34\n572\n137\n53\n16\nCitizenship not reported\n4\n12\n24\n1\n1\nTable 7.-CHARACTERISTICS OF DWELLING UNITS OCCUPIED BY WHITE PERSONS WITH SPANISH SURNAME,\nFOR SELECTED CENSUS TRACTS: 1950\n[Tracts listed are those which contain 250 or more white persons with Spanish surname. Median not shown where base is less than 100]\nSubject\nTract\nTract\nTract\nTract\nTract\nTract\n7\n8\nSubject\nTract\n9\nTract\n10\n11\nTract\n13\nTract\nTract\nTract\n7\n8\n9\n10\n11\n13\nTotal dwelling units\n65\n99\n1,259\n300\n163\n152\nCONTRACT MONTHLY RENT\nCONDITION AND PLUMBING FACILITIES\nRenter-occupied units reporting\n55\n38\n678\n109\n128\n52\nLess than $10\n6\n7\nNumber reporting\n106\n7\n28\n7\n63\n99\n1,242\n283\n157\n149\n$10 to $14\nNo private bath or dilapidated\n25\n9\n148\n17\n46\n9\n50\n77\n862\n116\n119\n72\n$15 to $19\nNo running water or dilapidated\n7\n8\n156\n23\n30\n59\n26\n11\n563\n61\n107\n49\n$20 to $29\n9\n11\n174\n39\n19\n9\n$30 to $39\n2\n3\nNUMBER OF PERSONS IN DWELLING UNIT\n62\n16\n6\n9\n$40 to $49\n3\n24\n5\n2\n3\n1 person\n5\n6\n46\n6\n$50 to $74\n13\n4\n3\n8\n2\n1\n3\n2 persons\n9\n6\n154\n$75 or more\n33\n20\n16\n1\n3 persons\n14\n14\n234\n37\n24\n19\nMedian rent\ndollars\n4 persons\n17.22\n21.42\n13.41\n3\n17\n187\n51\n35\n26\n5 and 6 persons\n21\n24\n300\n78\n36\n44\nVALUE OF ONE-DWELLING-UNIT\n7 persons or more\n13\n32\n338\n95\n35\n43\nSTRUCTURES\nMedian number of persons\n4.6\n5.1\n4.2\n5.0\nOwner-occupied units reporting1\n4\n44\n332\n152\n19\n81\nLess than $2,000\n15\n71\n17\n15\nPERSONS PER ROOM\n$2,000 to $2,999\n1\n4\n87\n28\n5\n14\nNumber reporting\n65\n99\n1,250\n298\n153\n151\n$3,000 to $3,999\n1\n14\n64\n42\n5\n22\n1.01 or more\n42\n66\n791\n192\n89\n$4,000 to $4,999\n92\n1\n7\n31\n28\n5\n17\n$5,000 to $9,999\n4\n66\n33\n2\n12\n$10,000 to $14,999\n1\n8\n4\n1\n1\n$15,000 or more\n5\n1\nMedian value\ndollars\n3,075\n3,688\n1 Restricted to 1-dwelling-unit properties.\n45\nReproduced at the National Archives\nAUSTIN, TEX., BY CENSUS TRACTS\nCITY\n7\nEXTENSION OF CITY LIMITS\nTO INCLUDE\nLAKE AUSTIN\n(PT)\nLIMITS\nLIMITS\nCITY\nLIMIT\nSCALE\nCAMINO REAL\nMALL\n15\nLIMITS\nxcenig\nCITY\nLANE\nRD\nGEORGETOWN\nMELRAY\nLIMITS]\nBLVD.\nCITY\nE.\n2\n53RD\nCITY\n,\nCITY\nLIMITS\nLIMITS\nCREEK\n3\nLIMITS\nLIMITS\nW.30TH\nI (PT)\nGUADALUPE\nE. 3CTH\n5\nE.\n301\n29TH\nMILER CREE\nCITY\nSAN\nCITY\n4\nSHOWS\n6\nBINO.\nE. I9TH\nW. 19TH\nE.\n19TH\n1\nWATERSTON AVE.\n7\n8\n-\nW. 12TH\nL\nE. 12TH\nCOLORADO\nE. 11TH\n11TH\n12\n>TH\nAVE.\nLYONS RD\n11\nLIMITS\nN\nCITY LIMITS CITY LIMITS\n9\nRIVER\nEAST\n1.\nCITY\nAVE.\n1ST\n10\n13\nSLIMIT\nCONGRESS\n14\nSCALE\n12\n0\n5\n11/2 08\nCITY\nCITY\nLIMITS\n&\nReproduced at the National Archives\n46\nRECORDS AND ARRCHIVES ADMINISTRATION TYNOLDIN\nNational Archives and Records Administration\n8601 Adelphi Road\nCollege Park, Maryland 20740-6001\n1985\nTheodore J. Hull\nApril 30, 1999\nNN3-CFS-96-999\nDocumentation for the Census Tract Data, 1950:\nElizabeth Mullen Bogue File\nare two pages\nFollowing is one page of sample records printed from the Census\nTract Data, 1950: Elizabeth Mullen Bogue File, file for Austin,\nTexas, created from the records as provided to the Center for\nElectronic Records. Brown University transferred the data to the\nNational Archives in EBCDIC, IBM Standard labelled, on 9-track,\n6250 bpi open reel magnetic tapes. The files have variable length\nrecords. These files were preservation copied by the National\nArchives on to 18-track, 37,871 bpi, 3480-class tape cartridges in\nEBCDIC, with IBM standard labels.\n47\nReproduced at the National Archives\nNARA's web site is http://www.nara.gov\n1950\n148815\nADO\nRECORD\nDUMB\nBeter 11/17/23\nFILE\n#1\nBLOCK\n#\n0\nRECORD\n#\n0\n0008\nAUSTIN TEXAS\nMETO\n68\n0048\n16\n132159)\n114682\n17661\n140\n14\n35538\n115.18\n34\n66\n0088\n67\n3562\n162/\n33\n1'\n20\n20\n2837\n00C8\n38/\n10/\n50.\n358\n/\n80\n89\n38\n14\n0108\n10\n63\n6\n2\n7\n30\n56\n71\n1\n0148\n92-\n12\n126\n1579\n123\n35\n28055\n17690\n713\n0188\n80'\n2490\n6090\n5930\n4300\n5690\n12060\n11865\n103\n01C8\n857\n10125\n2445\n115\n49035\n9050\n\\\n5015\n1600\n80\n0208\n15.\n1140\n3490\n3595\ni\n2765\n2200\n1590\n2500\n13'\n0248\n85\n1585\n1440\n1585\n2121\n64956\n7234\n5009\n0288\n661\n5245\n8977\n7533\n5056\n21264306\n3926\n\\\n3290\n26\n92C8\nan\n2280\n/\n1892\n1517\n1022\n955.\n138\n67601\n0300\n28\n4870\n3790\n5926\n8069\n6555\n4931-\n4064\n+:-\n0348\n60\n3630\n3295\n2745\n2385-\n2001-\n1342-\n1360\n3\n0388\n241\n56863\n6307\n4354\n3306\n4523\n8165\n671-2\n45\n03C8\n2-1\n3752\n3357\n281-\n2315\n1948\n1546\n1281\nI\n0408\n:-1\n271]\n57780\n6045\n4232\n3234\n404\n7035\n1\n0448\nto\n1230\n4231\n3684\n3041\n2747\n2363\n2046\nto\n0488\n39\n1147\n5437]\n49625-\n16343\n30398\n2884\n52622-\n126\n0408\n25,\n11072\n89257\n49625K\n12877\n319953\n11052/\n18984\n0508\n96,\n4339?\n33\n9331\n16748/\n52622\n18589\n10501\n181-\n0548\nus,\n10728.\n6098\n1143\n144\n479\n34035\n5019\n17-\n0538\n04.\n2694\n3016\n5518\n3762\n127\n3631\n2401\n1-\n05C8\n50\n2823\n869-\n6147*\n1491\n187-\n1040\n2362\n-\n31-\n0608\n02-\n71\n101]\n37342\n18385\n2165\n17100-\n2223\n11-\n0648\n70\n687\n26707\n157\n755\n4664\n2/10/\n23491\n361-\n0688\n20.\n13615\n9400\n5565-\n7540-\n35485\n3007\n11252\n88-\n06C8\n13-\n6413-\n4336-\n1664\n-\n35109\n5776\n16622\n442\n14\n0708\n77\n2524.4\n26755\n2179\n2141\n2269\n1902\n513\n43\nMED\n0748\n18\n15417,\n1417\n1010\n1004-\n3304-\n3309\n2993\nR\n23\n0788\n80\n8235\n1287401\n89060\n23980\n14920\n2082\n36614\n70\n07C8\n30\n4143\n35275\n4280\n-\n30800\n195'-\n28770\n4685\n05\nFILE\n#1\nBLOCK # 1\nRECORD\n#\n1\n0008\nAUSTIN, TEXAS\nCITY\n0048\n15\n132459\n114652\n17667\n140\n35530\n115318\n324\n66\n0088\n67\n3562\n162\n33\n1\n20\n20\n283\n00C8\n30\n10\n50\n358\n80\n89\n38\n14\n0108\n10\n63\n8\n2\n7\n30\n58\n71\n7\n0148\n92\n12\n126\n1579\n123\n85\n28055\n17600\n710\n0188\n30\n2490\n6090\n5930\n4300\n5690\n12050\n11865\n108\n-\n01C8\n85\n10125\n2445\n115\n49035\n9050\n5015\n4600\n40\n0208\n15\n4140\n3490\n3595\n2765\n2200\n1590\n2580\n13\n0248\n85\n1585\n1440\n1585\n2121\n64956\n7224\n5009\n33\n0288\n66\n5245\n8977\n7533\n5056\n4306\n3926\n3290\n26\n02C8\n90\n2280\n1892\n1517\n1022\n955\n168\n67503\n69\n0308\n28\n4878\n3790\n5926\n8069\n6555\n4931\n4984\n43\n0348\n60\n3630\n3295\n2745\n2385\n2001\n1342\n1360\n3\n0388\n24\n56863\n6307\n4354\n3300\n4529\n8165\n6712\n45\n03C8\n24\n3752\n3352\n2812\n2315\n1949\n1646\n1291\nx\n0408\n84\n971\n57789\n6015\n4237\n3234\n4911\n7035\n57\n0448\n18\n4230\n4231\n3686\n3043\n2747\n2363\n2056\n16\n0488\n39\n1147\n1437\n49625\n16343\n30398\n2884\n52622\n126\n04C8\n25\n31072\n8925\n49625\n32877\n31985\n31052\n18984\n76\n0508\n96\n4339\n33\n933\n16748\n52622\n18589\n18581\n181\n0548\n03\n10728\n6088\n1143\n144\n478\n34033\n5049\n47\n0588\n04\n2694\n3016\n5518\n3762\n127\n3631\n2401\n1\n05C8\n50\n2823\n869\n6147\n1401\n187\n1040\n2362\n31\n0608\n02\n71\n101\n37342\n18385\n2165\n17100\n2223\n11\nPage 1\nReproduced at the National Archives\nAPS RECORD DUMP\nDate: 11/17/96\n0648\n70\n687\n26707\n157\n755\n4664\n2710\n2349\n361\n0688\n20\n13615\n9400\n5565\n7540\n35485\n3007\n11252\n88\n06C8\n13\n6413\n4336\n1664\n35109\n5770\n16622\n442\n10\n0708\n77\n2524\n2675\n2179\n2141\n2269\n1902\n513\n43\n0748\n18\n15417\n1417\n1010\n1004\n3304\n3309\n2993\n23\n0788\n80\n8235\n128740\n89060\n23980\n14920\n789\n36614\n70\n07C8\n30\n4143\n35275\n4280\n30000\n195\n28770\n4685\n2\n0808\n05\nFILE #1 BLOCK # 2 RECORD # 2\n0000\n00010\n11842818140\n278'\n$\n307\n2261\n275\n28\n\\\n519015912\n0048\n7 0. 1- 2- 15- 6- 2- 10- 26- 35- 4- 4- 2-\n0088\n0. 24, 27 0- 10' 16- 0- 27- 19- :-\n00C8\n8\na 4390 111010805 30- 210 265- 215- 380-1090- 1990 2589 29\n0100\n05 1050 5840/ JCG 2752 155 255- 375- 375- 495- 365- 115-\n0148\n255 465- 395 550 705 280-3897] 8784 975- 703- 600- 648- 904\n0188\n1091- 753- 686- 647- 509- 439- 307- 236- 137- 82- 59- 8-9644\n01C8\n928 719 595 660- 980 1052- 829- 894- 759- 609- 462- 38.4 29-\n0208\n0 . 200 126 140 19]8672- 974- 605- 562- 621- 900 1085 745 6.\n192\n0248\n82 644- 507- 435 305 - 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