ࡱ>    @  bjbjFF  ,,}rrrr(T܏h6­­­uL[]]]]]]DR]9]rr­­;rR­­[[^["­ګ b|^ hw0܏wh626rrrr64l- oX ]]$ĘC Public Use Microdata Sample of the 1900 U.S. Census of American Indians: Users Guide by Minnesota Population Center University of Minnesota May, 2005 Introduction to the Users Guide This document describes the design and characteristics of the public use microdata sample of the 1900 U.S. Census of American Indians. The project was conducted at the Minnesota Population Center of the University of Minnesota, with funding provided by the National Institute of Child Health and Human Development (R01 HD 36451). In 1900 the Office of the Census used a modified form to enumerate most American Indians. Instructions on the form state: This modified form of Schedule No. 1 is to be used in making the enumeration of Indians, both those on reservations and those living in family groups outside of reservations. Detached Indians either in white or negro families outside of reservations should be enumerated on the general population schedule as members of the families in which they are found; but detached whites or negroes living in Indian families should be enumerated on this schedule as members of the Indian families in which they are found. In other words, every family composed mainly of Indians should be reported entirely on this schedule, and every family composed mainly of persons not Indian should be reported entirely on the general population schedule (italics in the original). The Indian schedule had the same questions as the general population schedule, but had 10 additional questions concerning Indian name, tribal information, percentage of white blood, polygamy, tax status, citizenship, and dwelling information. Sample Design The records included in the sample represent approximately 20 percent of the individuals enumerated on the Indian schedules. The sample is analogous to the existing public use microdata samples, which are simultaneously a sample of households and individuals. The sampling strategy is based on the manuscript page from the Indian schedules. Each page consists on an A and a B side, with lines 1 through 20 on the A side and lines 21 through 40 on the B side. We randomly generated a window of 8 sample lines for each page. If one of the sample lines contained the head of a household, the entire household became part of the sample provided: the household contained fewer than 31 persons, and a) the household was the only household in the dwelling, or b) it was the 1st household in a dwelling of fewer than 31 persons (in which case all households in the dwelling were included in the sample). If the household was in a multi-household dwelling of more than 30 persons, then only the single household was included in the sample. If a household consisted of more than 30 persons we sampled at the individual level (i.e., only persons from the sample lines were included in the sample). The sample design described above insures that all individuals enumerated on the Indian schedules had an equal probababilty of being included in the sample. The sample includes 45,651 individuals. But, as indicated in the enumerator instructions above, non-Indians were also enumerated on the Indian schedules. The current sample includes 1,574 individuals with a race of white and 350 individuals with a race of black. However, some of the non-Indians have tribal information indicating that they were Indian; we did not attempt to impose consistency between race and tribal information. The enumerator instructions indicate that not all Indians (those living in predominantly white or black households) were enumerated on the special Indian schedules. And we do have 134 individuals with a race of Indian in our 1-percent sample of the general population in 1900. Users might want to include these records in their analysis. However, the Indians taken from the general schedules were not asked the supplemental Indian questions. In addition, users should be aware that we extracted 5 percent of the records in the Indian sample and added them to the 1-percent sample. Users can distinguish between the general schedule and extracted Indians in the 1-percent sample with the variable OVERSAMP. Data Format The dataset has a rectangular column-format structure. Household records are identified by a H in the RECTYPE variable. Person records are identified by a P in the RECTYPE variable. The data dictionary on pages 3-6 provides variable descriptions, frequencies, column layouts, and coding schemes for all variables. Where possible, we have adopted IPUMS coding schemes Data Dictionary The data dictionary describes each variable in the sample. For each variable, the dictionary provides a universe statement and a description. In certain cases, additional user notes caution researchers against potential problems that some uses of the variable may entail. Universe The universe statement defines the population at risk for the given variable (i.e., who was asked the question, or to whom the question applies). Codes and Frequencies For some variables, a frequency table gives the value label for each code. The column numbers in the tables show the number of cases (frequencies) in each category. Obtaining the Data The datain compressed ASCII formatdocumentation, and an SPSS syntax file with variable and value labels can be downloaded from the IPUMS website:  HYPERLINK http://www.ipums.org/usa/samples.html http://www.ipums.org/usa/samples.html Citation and Use of the Data All persons are granted a limited license to use and distribute this documentation and the accompanying data, subject to the following conditions: No fee may be charged for use or distribution. Publications and research reports based on the database must cite it appropriately. The citation should include the following: Steven Ruggles, Matthew Sobek, Trent Alexander, Catherine A. Fitch, Ron Goeken, Patricia Kelly Hall, Miriam King, and Chad Ronnander. Integrated Public Use Microdata Series: Version 3.0 [Machine-readable database]. Minneapolis, MN: Minnesota Population Center [producer and distributor], 2004. If possible, citations should also include the URL for the IPUMS site: http://www.ipums.org. In addition, we request that users send us a copy of any publications, research reports, or educational material making use of the data or documentation. Printed matter should be sent to: IPUMS Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 Send all electronic material to ipums@pop.umn.edu. Record Layout for the 1900 American Indian Public Use Microdata Sample - Household OrderVariableVariable NameWidthColumns Record TypeRECTYPE11Census YearYEAR22-3Data set numberDATANUM24-5Household serial number SERIAL76-13Number of person records followingNUMPREC214-15Subsample number SUBSAMP216-17Household weight HHWT418-21Number of persons in household NUMPERHH422-25Dwelling sizeDWSIZE426-29Number of households in dwellingNUMHH230-31Number of households sampled from dwellingNUMHHTAK132Census region and divisionREGION233-3413.State (ICPSR code)STATEICP235-3614.State (FIPS code)STATEFIP237-3815.County ICPSR codeCOUNTY439-4216.State economic areaSEA344-4617.Metropolitan statusMETRO14718.Metropolitan area -- DetailedMETAREA448-5119.Metropolitan DistrictMETDIST452-5520.City name -- DetailedCITY456-5921.City population (incorporated places)CITYPOP560-6422.Size of placeSIZEPL265-6623.Urban/rural statusURBAN16724.Urban areaURBAREA468-7125.Group quarters statusGQ17226.Group quarters type Detailed GQTYPE373-7527.Group quarters fundingGQFUNDS276-7728.Farm statusFARM17829.Farm scheduleFARMSCHD17930.Ownership of dwelling DetailedOWNERSHP280-8131.Mortgage statusMORTGAGE18232.WardWARD384-8633.Sampling ruleSAMPRULE19934.Microfilm reel numberREEL4100-10335.Microfilm page numberPAGENO4106-10936.Line numberLINE3115-11737.Microfilm sequence numberPAGESEQ111938.Month of EnumerationENUMMO2120-12139.Day of EnumerationENUMDAY2122-12340.Enumeration DistrictENUMDIST4128-13141.Supervisors district numberSUPDIST3132-13442.House number and street addressSTREET32157-18843.Number of families in householdNFAMS2190-19144.Number of married couples in householdNCOUPLES119245.Number of mothers in householdNMOTHERS119346.Number of fathers in householdNFATHERS119447.Mortgage status Data quality flagQMORTGAG120848.Farm status Data quality flagQFARM121449.Group quarters status Data quality flagQGQ121950.Ownership of dwelling Detailed Data quality flagQOWNERSH122351.Group quarters type Detailed Data quality flagQGQTYPE124152.Minor civil division FIPS codesFIPSMCD5505-50953.Incorporated Municipality FIPS codesFIPSINC5510-51454.New England town populationNENGPOP7517-52155.Type of homeIHOME152656.Urban populationURBPOP5551-555 Record Layout for the 1900 American Indian Public Use Microdata Sample - Person OrderVariableVariable NameWidthColumns 1.Record TypeRECTYPE112.Census YearYEAR22-33.Data set numberDATANUM24-54.Household serial number SERIAL76-135.Person number in sample unitPERNUM214-156.Person weight PERWT420-237.Mother's location in householdMOMLOC226-278.Probable step/adopted motherSTEPMOM1289.Rule for linking motherMOMRULE12910.Father's location in householdPOPLOC230-3111.Probable step/adopted fatherSTEPPOP13212.Rule for linking fatherPOPRULE13313.Spouse's location in householdSPLOC234-3514.Rule for linking spouseSPRULE13615.Number of own family members in householdFAMSIZE237-3816.Number of own children in householdNCHILD13917.Number of own children under age 5 in householdNCHLT514018.Family unit membershipFAMUNIT241-4219.Age of eldest own child in householdELDCH243-4420.Age of youngest own child in householdYNGCH245-4621.Number of own siblings in householdNSIBS14722.Relationship to household head -- DetailedRELATE448-5123.AgeAGE352-5424.SexSEX15525.Race Detailed RACE356-5826.Marital StatusMARST15927.Duration of current marital statusDURMARR260-6128.Children ever bornCHBORN263-6429.Children survivingCHSURV265-6630.Birthplace Detailed BPL567-7131.Mother's birthplace DetailedMBPL572-7632.Father's birthplace DetailedFBPL577-8133.Nativity recodeNATIVITY18234.Citizenship statusCITIZEN18335.Year of birthBIRTHYR384-8636.Year of immigrationYRIMMIG387-8937.Years in the United States, intervalledYRSUSA219038.Speaks EnglishSPEAKENG110839.Spanish surnameSPANNAME110940.School attendanceSCHOOL111041.Months in schoolSCHLMNTH2111-11242.LiteracyLIT111443.Labor force statusLABFORCE111844.Occupation, 1950 basisOCC19503119-12145.OccupationOCC3122-12446.Occupational income scoreOCCSCORE2125-12647.Duncan Socioeconomic IndexSEI2127-12848.Industry, 1950 basisIND19503129-13149.Years in the United StatesYRSUSA12145-14650.Months unemployed last yearMOUNEMP2147-14851.Quarters unemployed last yearQTRUNEMP114952.Last nameNAMELAST16213-22853.First nameNAMEFRST16229-24454.Age in monthsAGEMONTH2245-24655.Month of birthBIRTHMO2247-24856.Surname similaritySURSIM2259-26057.Person received farm schedulePFARMSCH126958.Children surviving Data quality flagQCHSURV127859.Age Data quality flagQAGE127960.Age in months Data quality flagQAGEMONT128061.Month of birth Data quality flagQBIRTHMO128262.Birthplace Detailed Data quality flagQBPL128363.Literacy Data quality flagQLIT128464.Children ever born Data quality flagQCHBORN128565.Citizenship status Data quality flagQCITIZEN128666.Father's birthplace Detailed Data quality flagQFBPL129067.Mother's birthplace Detailed Data quality flagQMBPL130368.Marital Status Data quality flagQMARST130669.Occupation Data quality flagQOCC131470.Quarters unemployed last year Data quality flagQQTRUNEM131571.Race Detailed Data quality flagQRACE131672.Relationship to head Detailed Data quality flagQRELATE131773.Surname similarity Data quality flagQSURSIM131874.Duration of current marital status Data quality flagQDURMARR132175.School attendance Data quality flagQSCHOOL132276.Sex Data quality flagQSEX132377.Speaks English Data quality flagQSPEAKEN132478.Year of immigration Data quality flagQYRIMM133379.Indian nameINAME35334-36880.TribeTRIBE5491-49581.Fathers tribeFTRIBE5505-50982.Mothers tribeMTRIBE5510-51483.Amount of white bloodBLOODW3515-51784.PolygamyIMARST151885.Tax statusITAX151986.Indian year of citizenshipIYRCIT3520-52287.Indian citizen statusICITIZEN1523 Data Dictionary - Household RECTYP Column 1 Record Type PRIVATE  Universe: All persons. Description: RECTYP assigns all household records the alphabetic string "H." This allows users to discriminate between household and person records; the latter are assigned the string "P" in the person-record variable RECTYP. Each household record is followed by one or more person records, and all data pertaining to any household usually pertain to all of the persons within it. Codes and Frequencies: CodeFrequencyHousehold recordH12556 YEAR Columns 2-3 Census Year PRIVATE  Universe: All persons. Description: YEAR identifies the census year of each case. YEAR is repeated on person records. The middle two digits of the census year are used: 90 indicates 1900. Codes and Frequencies: CodeFrequency19009012556 DATANUM Columns 4-5 Dataset number PRIVATE  Universe: All persons. Description: DATANUM identifies the sample from which the case is drawn. All records in the Indian sample have a value of 4 for DATANUM. Codes and Frequencies: CodeFrequency1900 American Indian Sample412556 SERIAL Columns 6-13 Household serial number PRIVATE  Universe: All persons. Description: SERIAL is an identifying number unique to each household in a given census year sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifierssee PERNUM.) A combination of YEAR, DATANUM, and SERIAL provides a unique identifier for every household in the IPUMS; YEAR, DATANUM, SERIAL, and PERNUM uniquely identify every person in the database. In addition, the first six digits of SERIAL in 1900 provide the dwelling number for cases in which more than one household was sampled from a structure. The last two digits of SERIAL give the sequence of the household within the dwelling. Codes: See text above. NUMPREC Columns 14-15 Number of person records following Universe: All persons. NUMPREC indicates how many person records are included in the sampled unit (household or group quarters). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will usually apply to all of these persons. Codes: See text above. SUBSAMP Columns 16-17 Subsample number Universe: All persons. SUBSAMP allocates each household to one of 100 subsample replicates, randomly numbered from 0 to 99. Users who need a representative subset of a sample should use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. Codes: See text above. HHWT Columns 18-21 Sample weight Universe: All persons. Description: HHWT describes how many households in the U.S. population in a census year are represented by a given household in the IPUMS. All records in the Indian sample have a HHWT of 5. For the 1900 Indian sample the use of the weight is optional, since every case represents the same number of households in the population (approximately equal to the sample density). Codes : See text above. NUMPERHH Columns 22-25 Number of persons in household PRIVATE  Universe: All persons. Description: NUMPERHH indicates how many persons lived within the household or group quarters. This number is sometimes larger than NUMPREC (number of person records following) because the 1900 Indian sample did not sample large households/group quarters in their entirety. Codes: See text above. DWSIZE Columns 26-29 Dwelling size PRIVATE  Universe: All persons. Description: DWSIZE indicates how many persons lived within the entire dwelling that contained the sampled household. If the entire dwelling is included in the sample, DWSIZE is based on a computer count of person records. If only one household was taken from a large multi-household dwelling, or the case was sampled as group quarters, DWSIZE is based on a hand count by the data-entry operator. A missing value indicates that the enumerator omitted the dwelling numbers. Codes: See text above. NUMHH Columns 30-31 Dwelling size PRIVATE  Universe: All persons. Description: NUMHH indicates how many households lived within the entire dwelling that contained the sampled household. If the entire dwelling is included in the sample, NUMHH is based on a computer count of person records. If only one household was taken from a large multi-household dwelling, or the case was sampled as group quarters, NUMHH is based on a hand count by a data-entry operator. A missing value indicates the enumerator omitted the dwelling numbers. Codes: See text above. NUMHHTAK Column 32 Number of households sampled from dwelling PRIVATE  Universe: All persons. Description: NUMHHTAK indicates how many households from the same dwelling that contained this household (including this household) are included in the sample. Only dwellings with 30 or fewer residents were sampled at the level of dwellings; larger dwellings were sampled at the level of households or as group quarters. To analyze multi-household dwellings, select the households with NUMHHTAK greater than 1 and combine the households using the first six digits of SERIAL. That is, the first six digits of SERIAL are common to all households contained in a dwelling. Codes: See text above. REGION Columns 33-34 Census region and division PRIVATE  Universe: All persons. Description: REGION identifies the household's census region and division. Codes and Frequencies: CodeFrequencyNew England1150Middle Atlantic12506East North Central21591West North Central222607South Atlantic31276East South Central3291West South Central333119Mountain Division413669Pacific Division421647 STATEICP Columns 35-36 State (ICPSR code) PRIVATE  Universe: All persons. Description: STATEICP identifies the household's state of enumeration using the Inter-University Consortium for Political and Social Research (ICPSR) coding scheme. The variable allows ICPSR state data to be easily merged with the IPUMS. The ICPSR scheme orders the states geographically by region. Note that the ICPSR regions do not correspond perfectly with the census regions used in the IPUMS variable REGION. Codes and Frequencies: CodeFrequencyConnecticut15Maine243Massachusetts31Rhode Island51New York13258Pennsylvania14248Illinois211Indiana226Michigan23208Wisconsin25376Iowa3115Kansas32200Minnesota33454Missouri341Nebraska35180North Dakota36432South Dakota371325Virginia4028Alabama414Arkansas421Louisiana4518Mississippi4680North Carolina47244South Carolina484Texas499Kentucky516Oklahoma533091Tennessee541Arizona611500Colorado62146Idaho63254Montana64559Nevada65267New Mexico66727Utah67122Wyoming6894California71740Oregon72332Washington73575 STATEFIP Columns 37-38 State (ICPSR code) PRIVATE  Universe: All persons. Description: STATEFIP identifies the household's state of enumeration using the Federal Information Processing Standards (FIPS) coding scheme, which orders the states alphabetically. Codes and Frequencies: CodeFrequencyAlabama14Arizona41500Arkansas51California6740Colorado8146Connecticut95Idaho16254Illinois171Indiana186Iowa1915Kansas20200Kentucky216Louisiana2218Maine2343Massachusetts251Michigan26208Minnesota27454Mississippi2880Missouri291Montana30559Nebraska31180Nevada32267New Mexico35727New York36258North Carolina37244North Dakota38432Oklahoma403091Oregon41332Pennsylvania42248Rhode island441South Carolina454South Dakota461325Tennessee471Texas489Utah49122Virginia5128Washington53575Wisconsin55376Wyoming5694 COUNTY Columns 39-42 County (ICPSR code)PRIVATE  Universe: All persons. Description: COUNTY identifies the household's county of enumeration using the Inter-University Consortium for Political and Social Research (ICPSR) coding scheme. Counties are assigned codes alphabetically within states. The first 3 digits are identical to the FIPS county codes used in other datasets; ICPSR adds a digit to the FIPS codes to accommodate change over time (in general, if a county merged with another or was renamed before 1970, it receives an extra digit of "5"). Like STATEICP, COUNTY allows the IPUMS data to be easily merged with ICPSR data. The variable also identifies areas that were not part of any county, including the independent cities of Virginia. COUNTY is a state-dependent variable; it must be read with one of the STATE variables (STATEICP, STATEFIP) to distinguish between counties located in different states. Note that many county boundaries and some county names changed over time. We have not attempted to impose a uniform county boundary system on the data, so a particular county listed for a particular year in the IPUMS should be assumed to have the boundaries that it had in that year. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/volii/ICPSR.html www.ipums.umn.edu/usa/volii/ICPSR.html for a listing of county codes. SEA Columns 44-46 State economic areaPRIVATE  Universe: All persons. Description: SEA stands for State Economic Area, a concept described fully in Donald J. Bogue, State Economic Areas, (Washington D.C., 1951). SEAs are generally either single counties or groups of contiguous counties within the same state that had similar economic characteristics when they were originally defined prior to the 1950 census. The census first used SEAs in 1950 and the concept was applied retroactively to the 1940 sample. We constructed SEAs for 1850-1930 for the IPUMS by combining counties to match as closely as possible the components of the 1940-1950 SEAs. However, shifts in county boundaries, primarily resulting from the creation of new counties as populations shifted and grew, mean that these earlier SEAs do not always contain exactly the same territory as their 1940-1950 counterparts (see COUNTY). This is particularly true of areas with relatively small populations in earlier years which generally had more unstable county boundaries. There are exceptions, of course. Users who need to know the precise boundaries of counties for earlier years can refer to the boundary files available from Geoscience Publications; see COUNTY for information. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/volii/seacodes.html www.ipums.umn.edu/usa/volii/seacodes.html for listing of SEA codes. METRO Column 47 Metropolitan status Universe: All persons. Description: METRO indicates whether metropolitan-area households resided within a metropolitan area's central city (or cities), or within the remainder of the metropolitan area. It also indicates which households were not in a metropolitan area. Codes: CodeFrequencyNot in metro area112328In metro area, central city285In metro area, not central city3143 METAREA Columns 48-51 Metropolitan area - Detailed Universe: All persons. Description: Metropolitan areas are counties or combinations of counties centering on a substantial urban area. METAREA identifies the household's metropolitan area of enumeration if the household was located in a metropolitan area large enough to meet confidentiality requirements. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/hgeographic/metareagb.html www.ipums.umn.edu/usa/hgeographic/metareagb.html for a listing of METAREA codes. METDIST Columns 52-55 Metropolitan district Universe: All persons. Description: METDIST identifies each household's Metropolitan District of enumeration. Prior to the introduction of Standard Metropolitan Areas (SMAs) in 1950, the Census Bureau used a metropolitan classification known as Metropolitan Districts. These metropolitan areas were made up of large urban centers and "thickly settled" adjacent minor civil divisions. Metropolitan Districts, as implemented in the IPUMS, use a variation of the Census Bureau's 1940 definition. IPUMS Metropolitan Districts are composed of urban centers with populations of at least 50,000, along with contiguous minor civil divisions that have population densities of at least 150 persons per square mile. The criteria for designating urban centers as central cities are almost identical to those used for SMAs; see METAREA for more details about SMA classification. CITY Columns 56-59 City name - Detailed Universe: All persons. Description: CITY identifies the household's city of residence if the household resided in one of the cities identified in a given sample. To see which cities are identified for each year, check the codes and frequencies table below. The detailed code allows the identification of some cities that merged with others in the past, but most users will probably find this extra detail unnecessary. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/hgeographic/citydb.html www.ipums.umn.edu/usa/hgeographic/citydb.html for a listing of CITY codes. CITYYPOP Columns 60-64 City name - Detailed Universe: All persons. Description: CITYPOP gives the population in hundreds for all incorporated municipalities. Codes: See text above. SIZEPL Columns 65-66 Size of place Universe: All persons. Description: SIZEPL is a recode of CITYPOP that groups places of similar sizes. Codes: CodeFrequencyUnder 1,000, or unincorporated1118471,000 - 2,49921622,500 - 3,9993394,000 - 4,9994225,000 - 9,999538910,000 - 24,9996625,000 - 49,9997675,000 - 99,999943200,000 - 299,9992011,000,000 - 1,999,9998041 URBAN Column 67 Urban/rural status Universe: All persons. Description: URBAN indicates whether the household's location was urban or rural. Definitions of "urban" vary from year to year, but the term generally denotes places of 2,500+ people. (All areas not classified as urban are designated rural.) Codes: CodeFrequencyRural112007Urban2549 URBAREA Columns 68-71 Urban area Universe: All persons. Description: URBAREA identifies urbanized areas, which includes central cities and the densely populated areas immediately adjacent to the central city. Generally, a UA contains the urban and excludes the rural parts of a particular metropolitan area. Like metropolitan areas, they may cross state boundaries. Some metropolitan areas contain more than one UA, and some UAs extend beyond metropolitan area boundaries and occasionally into another metropolitan area. A few UAs denote areas not within any metropolitan area. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/volii/1980urbarea.html www.ipums.umn.edu/usa/volii/1980urbarea.html for a listing of URBAREA codes. GQ Column 72 Group quarters status Universe: All persons. Description: GQ classifies all units as falling into one of three main categories: households, group quarters, or vacant units. It also identifies fragmentary sample units in some sample years. In all years, the data available about a person and their coresidents depends on whether the person lives in a household or group quarters. Households are sampled as units, meaning that everyone in the household is included in the sample and household-level variables are available. People living in group quarters are sampled as individuals; other people in their unit may or may not be included in the sample and there is no way of linking co-residents' records to one another. Household-level variables are occasionally not available for residents of group quarters. Group quarters are generally institutions and other group living arrangements such as rooming houses and military barracks. The definitions vary from year to year, but in the IPUMS we have generally used a group quarters definition that includes units with 10 or more individuals unrelated to the householder. Codes: CodeFrequencyHH in 1970 definition, but sampled as larger unit110216Additional hhs under 1990 definition219Institution396Other group quarters42218Fragment67 GQTYPE Columns 73-75 Group quarters type - Detailed Universe: Group quarters. Description: GQTYPE describes in detail the type of group quarters in which a group-quarters member resided. Codes: CodeFrequencyNA (non-group quarters households)010235Family group, someone related to head105Prison21121Penitentiary21233Jail2211Orphans home, asylum43241Hotel80111House, lodging apartments80222Schools91066Boarding schools9115Academy, institute91217Industrial training9135Indian school9142077Mission9344Farms, ranches9452Other group quarters9604Fragment (boarders and lodgers, 1900)9997 GQFUNDS Columns 76-77 Group quarters funding Universe: Group quarters. Description: GQTYPE describes in detail the type of group quarters in which a group-quarters member resided. Codes: CodeFrequencyN/A010235Federal support11223State support1366Local support141Government, not specified161880Private, Nonprofit2156Private, Commercial2235Religious2348Private, unknown255 FARM Column 78 Farm status Universe: All persons. Description: FARM identifies farm households. All group quarters are coded as non-farm. Census methods for defining and identifying farms have changed several times. For 1900, the census counted a household as a farm if a member of the household operated a farm. It is not possible to tell whether or not the household actually lived on or owned the farm they operated in 1900. Codes: CodeFrequencyNon-Farm17336Farm25220 FARMSCHD Column 79 Farm Schedule Universe: All persons. Description: FARMSCHD indicates whether any member of the household received a farm schedule to be filled out for the agricultural census. The IPUMS variable PFARMSCH indicates which people within the household filled out the farm schedule(s). Codes: CodeFrequencyNo18203Yes, 1 schedule24275Yes, 2 schedules370Yes, 3 schedules46Yes, 4 schedules52 OWNERSHP Columns 80-81 Ownership of dwelling - Detailed Universe: Not Group Quarters. Description: OWNERSHP indicates whether the household rented or owned its housing unit. Households that acquired their unit with a mortgage or other lending arrangement are understood to "own" their unit even if they had not yet completed repayment. Codes: CodeFrequencyN/A02321Owned or being bought109286Rented20949 MORTGAGE Column 82 Ownership of dwelling - Detailed Universe: Not Group Quarters. Description: MORTGAGE indicates whether or not owner-occupied housing units were owned free and clear or encumbered by a mortgage, loan, or other type of debt. (See also OWNERSHP.) Codes: CodeFrequencyN/A03270No, owned free and clear19165Yes, mortgaged/ deed of trust or similar debt3121 WARD Columns 84-86 Ward Universe: All persons. Description: WARD is an unrecoded variable that identifies the household's political ward of enumeration if the household was located in an area (usually a large city) that was divided into wards. Households not located within an identifiable ward are assigned an IPUMS code of "000." Codes: See text above. SAMPRULE Column 99 Sampling rule Universe: All persons. Description: SAMPRULE identifies the sampling rule used for each case. SAMPRULE differs from GQ because it refers to the original sampling rules, whereas GQ has been adjusted to conform to modern definitions. Essentially, cases may be taken as entire dwellings, households, related groups, or individuals according to the following rules (which sometimes differ among census samples): 1 = A household in a dwelling with fewer than 31 persons; all households (1 or more) in the dwelling were sampled. 2 = A household in a dwelling with more than 30 persons. This household was the only one in the dwelling that was sampled. 3 = A group of related individuals sampled within a unit with more than 30 persons. 4 = Individuals sampled within units with more than 30 persons. 5 = A household fragment (see GQ). Codes: See text above. REEL Columns 100-103 Microfilm reel number Universe: All persons. Description: REEL gives the National Archives number of the microfilm reel from which the case was entered. For each year, REEL can be used in conjunction with other variables to locate and view the case as it appeared on the original census form Codes: See text above. PAGENO Columns 106-109 Microfilm page number Universe: All persons. Description: PAGENO gives the microfilm page number from which the case was entered. For 1900 these are the page numbers stamped on the forms before microfilming. Codes: See text above. LINE Columns 115-117 Line number Universe: All persons. Description: LINE gives the census-form line number of the randomly selected sample point that identifies the case. LINE can be used in conjunction with other variables to locate and view the case as it appeared on the original census form - see REEL. Codes: See text above. PAGESEQ Column 119 Microfilm sequence number Universe: All persons. Description: On some microfilm reels, the page numbers are not unique (they start over again from "1"). MICROSEQ identifies which sequence of page numbers within the microfilm reel the case was drawn from. MICROSEQ can be used in conjunction with REEL, PAGENO, and LINE to locate the case as it appeared on the original census form - see REEL. Codes: See text above. ENUMMO Columns 120-121 Month of enumeration Universe: All persons. Description: ENUMMO gives the month in which the enumerator began to gather information for the census page containing the case. Codes: See text above. ENUMDAY Columns 122-123 Day of enumeration PRIVATE  Universe: All persons. Description: ENUMDAY, which should be read with ENUMMO, gives the day of the month in which the enumerator began to gather information for the census page containing the case. Codes: See text above. ENUMDIST Columns 128-131 Enumeration district PRIVATE  PRIVATE  Universe: All persons. Description: ENUMDIST gives the household's census enumeration district. Codes: See text above. SUPDIST Columns 132-134 Supervisors district numberPRIVATE  Universe: All persons. Description: SUPDIST gives the household's census supervisors enumeration district. Codes: See text above. STREET Columns 157-188 Street AddressPRIVATE  M User Caution: STREET is an alphabetic variable. Universe: All households and group quarters. Description: STREET is an alphabetic variable that reports the household's entire street address, as written on the original census form. Codes: See text above. NFAMS Columns 190-191 Number of families in householdPRIVATE  Universe: All persons. Description: NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no boarders, lodgers, or servants would count as a single family. Codes: See text above. NCOUPLES Column 192 Number of married couples in household PRIVATE  Universe: All persons. Description: NCOUPLES is a constructed variable (using SPLOC) that counts the number of married couples within each household. Codes: See text above. NMOTHERS Column 193 Number of mothers in household Universe: All persons. Description: NMOTHERS is a constructed variable (using MOMLOC) that indicates the number of mothers within each household. Codes: See text above. NFATHERS Column 194 Number of fathers in household Universe: All persons. Description: NFATHERS is a constructed variable (using POPLOC) that indicates the number of fathers within each household. Codes: See text above. QMORTGAG Column 208 Mortgage status Data quality flag PRIVATE  Universe: All persons. Description: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QFARM Column 214 Farm status Data quality flag PRIVATE  Universe: All persons. Description: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QGQ Column 219 Group quarters status Data quality flag Universe: All persons. Description: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QOWNERSH Column 223 Ownership of dwelling Detailed Data quality flag Universe: All persons. Description: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QGQTYPE Column 241 Group quarters type Detailed Data quality flag Universe: All persons. Description: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS FIPSMCD Columns 505-509 Minor civil division FIPS code Universe: All persons. Description: FIPSMCD provides the Federal Information Processing Standards (FIPS) codes for minor civil divisions. Minor civil divisions are the principle independent political division at the sub-county level. Historically, the most common example of a minor civil division is the township, but they have a variety of state-specific descriptive terms, including town, precinct, beat, and district. Coding of FIPSMCD was based on a listing of codes used for the 1990 U. S. census. However, many minor civil divisions that we encounter in the historical census data no longer exist because of political and administrative reorganization at the sub-county level. In these cases we assigned non-standard FIPS codes consistent with the present-day FIPS coding format. All FIPSMCD codes are unique within each state (i.e., to identify a specific minor civil division, you must combine the FIPSMCD code with either STATEICP or STATEFIP). Codes: See https://www.ipums.org/usa/volii/FIPS_codes.xls FIPSINC Columns 510-514 Incorporated municipality FIPS code Universe: All persons. Description: FIPSINC provides the Federal Information Processing Standards (FIPS) codes for incorporated municipalities (e.g., cities and villages). Coding of FIPSINC was based on a listing of codes used for the 1990 U. S. census. In cases where a specific incorporated municipality no longer exists, we assigned non-standard FIPS codes consistent with the present-day FIPS coding format All FIPSINC codes are unique within each state (i.e., to identify a specific incorporated municipality, you must combine the FIPSINC code with either STATEICP or STATEFIP). Codes: See https://www.ipums.org/usa/volii/FIPS_codes.xls  NENGPOP Columns 517-521 New England town population Description: NENGPOP gives the population in hundreds for minor civil divisions in New England, including towns and independent cities. For New England towns with incorporated municipalities, NENGPOP will be larger than the population reported in CITYPOP, which reports the portion of the town population considered urban by the Census Bureaus 1930 definition. Using NENGPOP, users can construct a definition of urban compatible with the published reports of censuses prior to 1930. Codes: See text above. IHOME Column 526 Type of home Universe: All persons. Description: The Indian schedule contained the question: Is this Indian living in a fixed or movable dwelling. Codes: CodeFrequencyMovable11862Fixed28383Illegible812Blank92101 URBPOP Column 551-555 Population of urbanized area Universe: All persons. Description: URBPOP gives the population of places considered "urban" according to the Census Bureau's 1930-1940 definition. All incorporated municipalities with a population of 2,500 or more were defined as urban, but this definition of urban also included some places that were not incorporated municipalities. Codes: See text above. Data Dictionary Person RECTYP Column 1 Record Type PRIVATE  Universe: All persons. Description: RECTYP assigns all person records the alphabetic string "P" This allows users to discriminate between household and person records; the former are assigned the string "H in the household variable RECTYP. Codes and Frequencies: CodeFrequencyP45651 YEAR Columns 2-3 Census Year PRIVATE  Universe: All persons. Description: YEAR identifies the census year of each case. YEAR is repeated on person records. The middle two digits of the census year are used: 90 indicates 1900. Codes: See text above. DATANUM Columns 4-5 Dataset number PRIVATE  Universe: All persons. Description: DATANUM identifies the sample from which the case is drawn. Codes: See text above. SERIAL Columns 6-13 Household serial number PRIVATE  Universe: All persons. Description: SERIAL is an identifying number unique to each SERIAL is an identifying number unique to each household in a given census year sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifierssee PERNUM) A combination of YEAR, DATANUM, and SERIAL provides a unique identifier for every household in the IPUMS; YEAR, DATANUM, SERIAL, and PERNUM uniquely identify every person in the database. In addition, the first six digits of SERIAL in 1900 provide the dwelling number, for cases in which more than one household was sampled from a structure. In these years, the last two digits of SERIAL give the sequence of the household within the dwelling. Codes: See text above. PERNUM Columns 14-15 Person number in sample unit Universe: All persons. Description: PERNUM numbers all persons within each household consecutively (starting from "1" for each household) in the order in which they appear on the original census form. When combined with YEAR, DATANUM, and SERIAL, PERNUM uniquely identifies each person within the IPUMS. Codes: See text above. PERWT Columns 20-23 Person weight Universe: All persons. Description: PERWT indicates how many persons in the U.S. population are represented by a given person in an IPUMS sample. All records in the Indian sample have a PERWT of 5. For the 1900 Indian sample the use of the weight is optional, since every case represents the same number of individuals in the population (approximately equal to the sample density). Codes: See text above. MOMLOC Columns 26-27 Mothers location in household Universe: All persons. Description: MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). The method by which probable child-mother links are identified is described in MOMRULE; see also Chapter 5, "Family Inter-relationships" for a general discussion of IPUMS-constructed family interrelationship variables. MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. User Caution: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. Researchers wishing to exclude these social relationships from their analysis should use STEPMOM as well. Codes: See text above. STEPMOM Column 28 Probable step/adopted mother Universe: All persons. Description: STEPMOM indicates whether a person's mother, as identified by MOMLOC, was likely to have been the person's stepmother or adoptive mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. We assume that the mother is the biological mother if she is (1) the householder and reported the child to be her son/daughter, or (2) the wife of the householder, who reported the child to be his son/daughter. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the census. Therefore, STEPMOM will always underrepresent their actual number in the population. See MOMRULE and the general discussion of IPUMS-constructed family interrelationship variables in Chapter 5, "Family Interrelationships." 0 = Biological mother or no mother of this person present in household. 1 = Age difference between mother and child was less than 15 or greater than 49 years . 2 = Link was established only because the mother was married to the father (using SPLOC). The listed order of family members on the census form is non-standard. 3 = Census explicitly identified as stepmother. 4 = Mother has 0 children surviving. 5 = Census explicitly identified as adopted. 6 = Child is older than mother's current marriage and mother's response in BPL does not match child's response in MBPL. 7 = If the number of children linked to each mother exceeds the number of children born or the number of children surviving (whichever is valid), unlink the eldest child(ren) with the same surname unless the mother is listed as wife and the child is listed as a stepchild of the head. If more than one value applied to the case, the lowest value was assigned. Codes: See text above. MOMRULE Column 29 Rule for linking mother Universe: All persons. Description: MOMRULE explains why the IPUMS variable MOMLOC linked the person to a probable mother. The IPUMS establishes mother-child links according to seven basic rules, and MOMRULE gives the number of the rule that applied to the link in question. If a link could be made according to more than one rule, the lower-numbered rule was the one applied. See also MOMLOC, STEPMOM, and Chapter 5, "Family Interrelationships" for more information on these constructed variables. Comparability: This variable is comparable across census years. Users who wish to limit their analysis to links that could be made for all years should eliminate from their research universe all persons for whom MOMRULE = 4, 5, 6, or 7. (Few links were made using these four rules; over 95% of the links were made using rule 1 alone.) 0 = No mother of this person present in the household. 1 = Unambiguous relationship, based upon relationships to the head of household as listed on the census record. This covers three basic cases: 1. a person listed as a son or daughter is linked to a person listed as wife/spouse. 2. a person listed as head, brother, or sister is linked to a person listed as mother. 3. a person listed as wife, brother-in-law, or sister-in-law is linked to a person listed as mother-in-law. 2 = Persons listed as grandchildren are linked to the most proximate preceding (on the census form) ever-married daughter, unmarried daughter (if immediately followed by a grandchild), or daughter-in-law of the head if the daughter/daughter-in-law is 11-59 years older than the grandchild. If no link is formed with a preceding female, the program looks for the most proximate subsequent female who satisfies the same criteria. 3 = Other persons are linked to any preceding ever-married female who is 15-49 years older so long as: 1. the two persons have listed relationships to the head that, when compared with one another, make a child-mother link plausible, and 2. there are no persons listed between the potential child and mother, except the potential mother's other children or husband. 4 = Same as rule 3, but surname similarity overrides part b of rule 3. If more than one potential mother is found in this way, the most proximate is linked. This rule can be applied only to samples with surname codes: 1880 to 1950. 5 = Same as rule 2, except evidence on children-ever-born (or children surviving for 1900 and 1910) overrides the potential mother's lack of "ever-married" status. This rule can be applied only to samples with children-ever-born or children surviving information: 1900, 1910, 1960, 1970, 1980, and 1990. 6 = Same as rule 3, except evidence on children-ever-born (or children surviving for 1900 and 1910) overrides the potential mother's lack of "ever-married" status. Like rule 5, this rule can be applied only to the 1900, 1910, 1960, 1970, 1980, and 1990 samples. 7 = If the child is already linked to a father (see POPLOC and POPRULE), and that father has a wife present in the household who has not been linked to the child by another rule, the wife is linked to the child as a stepmother, regardless of the age gap between child and wife. Consistency checks: 1. If a husband and wife were both linked to the same mother, the IPUMS chose the best mother link based on detailed relationship, surname, and proximity within the household as listed on the census form. 2. If both parents were present but they were not married to each other, the IPUMS unlinks the one with the mismatched surname. For years that lack surname (1960 to 2000), the least proximate parent is unlinked. Codes: See text above. POPLOC Columns 30-31 Fathers location in household Universe: All persons. Description: POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number (see PERNUM) of the father. The method by which probable child-father links are identified is described in POPRULE; see also Chapter 5, "Family Interrelationships." POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. User Caution: POPLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. Researchers wishing to exclude these social relationships from their analysis should use STEPPOP. Codes: See text above. STEPPOP Column 32 Probable step/adopted father Universe: All persons. Description: STEPPOP indicates whether or not a person's father, as identified by the IPUMS variable POPLOC, was likely to have been the person's stepfather or adoptive father. Non-zero values of STEPPOP explain why it is probably that the persons father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. We assume that the father is the biological father if he is (1) the householder and reported the child to be his son/daughter, or (2) the husband of the householder, who reported the child to be her son/daughter. From 1940-1990, the category "son/daughter" included adopted and/or stepchildren as well as biological children (see RELATE). Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the census. Therefore, STEPPOP will always underrepresent their actual number in the population. See POPRULE and Chapter 5 on "Family Interrelationships" for a more complete explanation. 0 = Biological father or no father of this person present in household. 1 = Age difference between father and child was less than 15 or more than 64 years. 2 = Link was established only because the father was married to mother. The listed order of family members on the census form is non-standard. 3 = Census explicitly identified as stepfatherinformation not available for 1960, 1970, or 1980. 5 = Census explicitly identified as adoptedinformation available only for 1880, 1900, 1910, and 1920. 6 = Child is older than father's marriage (current marriage for 1900 and 1910, first marriage for 1960 and 1970), and father's response in BPL does not match child's response in FBPL. 7 = Surname differs and child is a male or never-married female (female under age 15, 1850-1870). If more than one value applied to the case, the lowest value was assigned. Codes: See text above. POPRULE Column 33 Rule for linking father Universe: All persons. Description: POPRULE explains why the IPUMS variable POPLOC linked the person to a probable father. Father-child links were established according to five basic rules, and POPRULE gives the number of the rule that applied to the link in question. If a link could be made according to more than one rule; the lower-numbered rule was the one applied. See also POPLOC, STEPPOP, and Chapter 5 on "Family Interrelationships" for a discussion of these IPUMS-constructed variables. Comparability: This variable is comparable across census years. Users who wish to limit their analysis to links that could be made for all years should eliminate from their research universe all persons for whom POPRULE = 4 or 7. (Few links were made using these two rules; over 95% of the links were made using rule 1 alone.) 0 = No father of this person present in household. 1 = Unambiguous relationship, based upon relationships to the head of household as listed on the census record. This covers three basic cases: 1. a person listed as a son or daughter is linked to the person listed as head. 2. a person listed as head, brother, or sister is linked to the person listed as father. 3. a persons listed as wife, brother-in-law, or sister-in-law is linked to a person listed as father-in-law. 2 = Persons listed as grandchildren are linked to the most proximate preceding (on the census form) ever-married son, an unmarried son (if immediately followed by the grandchild), or son-in-law of the head if the son/son-in-law is 15-79 years older than the grandchild. If no link is formed with a preceding male, the program looks for the most proximate subsequent male who satisfies these criteria. 3 = Other persons are linked to any preceding ever-married male who is 15-64 years older so long as: 1. the two persons have listed relationships to the head that, when compared with one another, make a child-father link plausible, and 2. there are no persons listed between the potential child and father, except the potential father's other children or wife. 4 = Same as rule 3, but surname similarity overrides part b of rule 3. If more than one potential father is found in this way, the most proximate preceding male is linked. This rule can be applied only to samples with surname codes: 1880 to 1950. 7 = If the child is already linked to a mother (see MOMLOC and MOMRULE), and that mother has a husband present in the household who has not been linked to the child by another rule, the husband is linked to the child as a stepfather, regardless of the age difference between the child and the stepfather. Consistency Checks: 1. If the child was linked to a father and mother who were not married to one another, the IPUMS unlinked the father. If a husband and wife were both linked to the same father and/or mother, the IPUMS chose the best parental link based on detailed relationship, surname, and proximity within the household as listed on the census form. 2. If both parents were present but they were not married to each other, the IPUMS unlinks the one with the mismatched surname. For years that lack surname (1960 to 2000), the least proximate parent is unlinked. Codes: See text above. SPLOC Columns 34-35 Spouses location in household Universe: All persons. Description: SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. The method by which probable spouse-spouse links are identified is described in SPRULE. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. Codes: See text above. SPRULE Column 36 Rule for linking father Universe: All persons. Description: SPRULE explains why the IPUMS variable SPLOC linked the person to a probable spouse. The IPUMS establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. See Chapter 5 on "Family Interrelationships" for more information on IPUMS-constructed family interrelationship variables. This variable works the same way for all years. 0 = No spouse of this person present in household. 1 = A married woman and a married man were linked because she was listed immediately after him on the census form and both persons relationship to the household head/householder, when compared with one another, justified a link, as follows: Man's relationship to head Woman's relationship to head Head of household Wife Son Daughter-in-law Father Mother Father-in-law Mother-in-law Brother Sister-in-law Brother-in-law Sister 2 = Same as rule 1, but the married woman's name appeared immediately before the married man's name on the census form. 3 = A married woman and a married man who did not appear adjacently on the census form were linked because 1. they had one of the relationship sets listed in rule 1; 2. they were both age 16+; 3. the man was not more than 25 years older than the woman; and 4. the woman was not more than 10 years older than the man 4 = A married woman whose relationship to the head was not listed, or did not match the married man's as specified in rule 1, was still linked to a married man because he was listed immediately before her on the census form, their ages fit parts c and d of rule 3, and the resulting link did not link a nonrelative to a relative. 5 = Same as rule 4, but the married woman's name appeared immediately before the married man's name on the census form. 6 = For links made under rules 1-5, check to see if this link creates an inconsistency with SURSIM, surname similarity, (in pre-1960 years other than 1900 and 1910) or DURMARR, duration of marriage, (in 1900 and 1910) or AGEMARR, age of first marriage (for those married at least once in 1960-1980). If a conflict is identified, search the household for alternative partner. Codes: See text above. FAMSIZE Columns 37-38 Number of own family members in household Universe: All persons. Description: FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. For all years except 1850-1870, these include all persons that the census form indicates are related to the person by blood, adoption, or marriage (see RELATE); for 1850-1870, relationships determined in IMPREL (Imputed relationship) are used. FAMSIZE also incorporates information contained in MOMLOC, IMPMOM, POPLOC, IMPPOP, SPLOC, and IMPSP. These IPUMS-constructed variables are discussed in Chapter 5 on "Family Interrelationships." Codes: See text above. NCHILD Column 39 Number of own children in household Universe: All persons. Description: NCHILD counts the number of the person's own children (of any age or marital status) living in the household with her/him. From 1880 to 2000 these include all children linked to the person via MOMLOC/MOMRULE or POPLOC/POPRULE. 1850-1870 use IMPMOM and IMPPOP to locate own children. Codes: See text above. NCHLT5 Column 40 Number of own children in household Universe: All persons. Description: NCHLT5 counts the number of the person's own children age 4 and under living in the household with her/him. From 1880 to 2000 these include all children of this age linked to the person via MOMLOC/MOMRULE or POPLOC/POPRULE. 1850-1870 use IMPMOM and IMPPOP to locate own children. Codes: See text above. FAMUNIT Columns 41-42 Family unit membership Universe: All persons. Description: FAMUNIT indicates which family within the household each person belongs to. If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. All persons with a RELATE code less than "1100" are included in FAMUNIT "1". See our general discussion of these IPUMS-constructed variables in Chapter 5, "Family Interrelationships," for further information. The Census Bureau defines "primary families" as groups of persons related to the head of household, and "primary individuals" as household heads/householders residing without kin. In the IPUMS, primary families and primary individuals are identified in FAMUNIT with a code of "1;" each secondary family or secondary individual receives a higher code. FAMUNIT is not analagous to the Census Bureau concept of "subfamily." People in "subfamilies" are necessarily related to the householder, and will be included in FAMUNIT "1." Under the definition of group quarters used for the 1940-1970 census years, there can be a maximum of five families in a household; in 1980-2000, the maximum is 9. See GQ. In 1850-1870, FAMUNIT is based on IMPREL. Codes: See text above. ELDCH Columns 43-44 Age of eldest own child in household Universe: All persons. Description: ELDCH gives the age of the person's eldest own child (if any) living in the household with her/him, regardless of the child's age or marital status. From 1880 to 2000 these include all children linked to the person via MOMLOC/MOMRULEor POPLOC/POPRULE. 1850-1870 use IMPMOMand IMPPOP to locate own children. ELDCH includes step-children and adopted children as well as biological children. Codes: See text above. YNGCH Columns 45-46 Age of youngest own child in household Universe: All persons. Description: YNGCH gives the age of the person's youngest own child (if any) living in the household with her/him, regardless of the child's age or marital status. From 1880 to 2000 these include all children linked to the person via MOMLOC/MOMRULE or POPLOC/POPRULE. 1850-1870 use IMPMOM and IMPPOP to locate own children. YNGCH includes step-children and adopted children as well as biological children. Codes: See text above. NSIBS Column 47 Number of own siblings in household Universe: All persons. Description: NSIBS counts the number of the person's own siblings (including half-siblings, step-siblings, and adopted siblings) living in the household with her/him. Persons with no siblings present are coded "0." NSIBS is generally based on information contained in RELATE (Relationship to household head) for all years except 1850-1870. In these years it is constructed from IMPREL (Imputed relationship). In addition to the information from RELATE/IMPREL, NSIBS counts the number of children linked to the same mother or father via MOMLOC and POPLOC (or IMPMOM and IMPPOP for 1850-1870). Codes: See text above. RELATE Column 48-51 Relationship to household head - Detailed Universe: All persons. Description: RELATE describes an individuals relationship to the head of household or householder. Beginning in 1880, data on household relationship was asked of every person. The general relationship code is reasonably comparable across years. The detailed code makes distinctions that cannot be made in all years. The relationship codes are divided into two categories: relatives (codes 1-10) and non-relatives (codes 11-13). In general, the codes for relatives are self-explanatory. The non-relative codes are divided into three groups: "Partner, Friend, Visitor," roughly described as persons who do not pay or work for their accommodations (unless they share ownership); "Other Non-Relatives," including those persons paying or working for accommodations; and "Institutional Inmates." See the comparability discussion for further information about the coding scheme. Codes: CodeFrequencyHead/Householder10110305Spouse20176012nd/3rd Wife (Polygamous)202163Child30118352Adopted Child30282Stepchild303808Child-in-law401370Step Child-in-law4022Parent501454Stepparent50220Parent-in-Law601291Stepparent-in-law6021Sibling701695Step/Half/Adopted Sibling70229Sibling-in-Law801371Grandchild9011282Adopted Grandchild9021Step Grandchild90315Grandchild-in-law90410Grandparent101175Grandparent-in-law10131Aunt or Uncle1021128Aunt,Uncle-in-law10222Nephew, Niece1031677Nephew/Niece-in-law10326Step/Adopted Nephew/Niece10336Grand Niece/Nephew-in-law103424Cousin1041237Cousin-in-law10421Great Grandchild105128Other relatives, nec10612Friend11114Partner111216Visitor11317Boarders1202729Lodgers1203188Roomer120427Foster child120647Servant1211197Housekeeper12123Cook12144Other probable domestic employee12162Other employee1217114Relative of employee121926Students12222168Members of religious orders122310Other non-relatives123039Institutional inmates130131 AGE Columns 52-54 Age Universe: All persons. Description: AGE gives the persons age in years as of their last birthday prior to or on the day of enumeration. Data on year of birth (BIRTHYR) is also available in 1900. Codes: See text above. SEX Column 55 Sex Universe: All persons. Codes: CodeFrequencyMale123283Female222368 RACE Column 56-58 Race Detailed Universe: All persons. Description: RACE was asked of every person in all census years. The concept of race has changed over the 150 years represented in the IPUMS. Currently, the Census Bureau and others consider race to be a socio-political construct, not a scientific or anthropological one. Race categories include national origin groups as well. Codes: CodeFrequencyWhite1001574Black/Negro200350American Indian30043727 MARST Column 59 Marital status Universe: Persons age 12+ . Description: MARST gives each person's current marital status. Codes: CodeFrequencyMarried, spouse present116473Married, spouse absent2702Divorced4226Widowed53158Never married/single625092 DURMARR Columns 60-61 Duration of current marriage Universe: Currently-married persons. Description: DURMARR reports the number of years of each persons current marriage. Codes: CodeFrequencyLess than 1 year06041 year110872286433859447745580466698776568866199543101091011114301212571131333914143701515633161637117172921818384191926920208822121249222230823232782424190252546626261482727159282815929299230305883131983232128333381343459353517336368237374438386039392640403134141304242344343284444314545494646144747848482749491650501335151852521453531255552556564575735959460601661612636326565266661707067373280802N/A9928476 CHBORN Columns 63-64 Children ever born Universe: Ever-married females, age 12+ . Description: CHBORN reports the number of children ever born to each woman of whom the question was asked. The women were to report all live births by all fathers, whether or not the child was still living; they were to exclude still births, adoptions, and stepchildren. Codes: CodeFrequencyN/A034654No children115601 child216102 children3138634127245118056980677987863389494910359101136311121611213103131436141531151615161741718318192192022021423241 CHSURV Columns 65-66 Children surviving Universe: Ever-married females, age 12+ . Description: CHSURV indicates how many of the children ever born to each ever-married woman age 12 and over were still living on census day (see CHBORN). This includes all children born to that woman by all fathers, and regardless of the child's current place of residence. Women were not to count adopted or step- children. Codes: CodeFrequencyN/A034654No children surviving121431 child225182 children3207534154945107356684673867826089150910891011411112141213613144141521516216171 BPL Columns 67-71 Birthplace - Detailed Universe: All persons. Description: BPL indicates the person's state or foreign country of birth. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html  www.ipums.umn.edu/usa/pethnicity/bpldb.html  for a listing of birthplace codes. MBPL Columns 72-76 Mothers birthplace - Detailed Universe: All persons. Description: MBPL indicates the state, territory, or foreign country of the person's mother's birth as reported by the respondent. The IPUMS codes for MBPL are the same as for BPL (Birthplace). As with BPL, MBPL has a general code distinguishing places available in multiple years and a detailed code noting places unique to certain years or describing areas that are strictly subsets of other countries. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html  www.ipums.umn.edu/usa/pethnicity/mbpldb.html  for a listing of birthplace codes. FBPL Columns 77-81 Mothers birthplace - Detailed Universe: All persons. Description: FBPL indicates the state, territory, or foreign country of the person's father's birth as reported by the respondent. The IPUMS codes for FBPL are the same as for BPL (Birthplace). As with BPL, FBPL has a general code distinguishing places available in multiple years and a detailed code noting places unique to certain years or describing areas that are strictly subsets of other countries. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/flags.html  www.ipums.umn.edu/usa/pethnicity/fbpldb.html  for a listing of birthplace codes. NATIVITY Column 82 Nativity recode Universe: All persons. Description: NATIVITY is constructed from the IPUMS variables BPL, MBPL, and FBPL. It identifies the respondent as either native-born or foreign-born, and for native-born respondents it indicates whether his/her mother and/or father were native-born or foreign-born. Those U.S. possessions and territories classified as "U.S. outlying areas" in BPL are considered foreign. Codes: CodeFrequencyBoth parents native-born143591Father foreign, mother native2924Mother foreign, father native3324Both parents foreign4271Foreign-Born5541 CITIZEN Column 83 Citizenship status Universe: Foreign born men age 21+ . Description: CITIZEN reports the citizenship status of those individuals who were not U.S. citizens at birth from 1900-1940 and foreign-born individuals since 1950. In 1870, the variable reports the citizenship status of all men over the age of 20 regardless of birthplace. Respondents are classified as either naturalized or non-citizens. Note that the universe prior to 1920 did not include women and children under age 21, but in 1920-1940 the question was asked of all persons who were not U.S. citizens at birth. In 1950, the universe was expanded to include all foreign-born individuals, regardless of their U.S. citizenship status at birth, introducing the category "Born abroad of American parents." In 1990 and 2000, information was also collected for persons born in outlying U.S. territories (Guam, the U.S. Virgin Islands, the Northern Marianas) and the Commonwealth of Puerto Rico; these persons fall into the N/A category (not foreign-born). Prior to 1950, respondents who were not yet citizens but who had begun the naturalization process ("received first papers") can also be identified. For later years, these persons can not be distinguished from other non-citizens. Codes: CodeFrequencyN/A045392Naturalized citizen2109Not a citizen3134Has received first papers, but not a citizen416 BIRTHYR Columns 84-86 Year of birth Universe: All persons. Description: BIRTHYR gives the person's year of birth (891=1891, etc). In addition: 996 = Not Classified 997 = Illegible 998 = Unknown (enumerator response) 999 = Blank Codes: See text above. YRIMMIG Columns 87-89 Year of immigration Universe: Foreign born. Description: YRIMMIG gives the year in which a foreign-born person first entered the United States. Researchers who are interested in the length of time spent in the United States, as opposed to the year of immigration, should see the IPUMS variables YRSUSA1 and YRSUSA2. For 1900 YRIMMIG provides the exact year of immigration. In addition: 0 = N/A 996 = Not Classified 997 = Illegible 998 = Unknown (enumerator response) 999 = Blank Codes: See text above. YRSUSA2 Column 90 Years in the United States, intervalled Universe: Foreign born. Description: YRSUSA2 indicates how long each foreign-born person had been living in the United States. (Researchers who are interested in the year of immigration, as opposed to the length of time spent in the United States, should see the IPUMS variable YRIMMIG.) Codes: CodeFrequencyN/A0451550 to 5 years11126 to 10 years27411 to 15 years35216 to 20 years46321+ years5195 SPEAKENG Column 108 Speaks English Universe: Age 10+. Description: SPEAKENG indicates whether or not the respondent was able to speak English. Codes: CodeFrequencyN/A012463Does not speak English113557Yes, speaks English217535Unknown74Illegible829Blank92063 SPANNAME Column 109 Spanish surname Universe: All persons. Description: SPANNAME identifies persons with Spanish surnames by comparing the surnames with various lists of Spanish surnames. Codes: CodeFrequencyNo, not Spanish surname144446Yes, Spanish surname21205 SCHOOL Column 110 School attendance Universe: All persons. Description: SCHOOL indicates whether or not the respondent attended school within a specified period. Codes: CodeFrequencyNo, not in school139163Yes, in school26488 SCHLMNTH Columns 111-112 Months in school Universe: All persons. Description: SCHLMNTH indicates the number of months that the respondent attended school during the past year. Codes: CodeFrequency0 months02650118922194333614437455232664047735888612991399101021581111381212269N/A (blank)9936513 LIT Column 114 Literacy Universe: Age 10+. Description: LIT indicates whether or not the respondent could read and/or write in any language. Codes: CodeFrequencyN/A012463No, illiterate (cannot read or write)118857Cannot read, can write227Cannot write, can read3712Yes, literate (reads and writes)413592 LABFORCE Column 118 Labor force status Universe: Age 16+. Description: LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. The definition of labor force participation is considerably different for 1850-1920 than for 1940-2000. From 1850 to 1920, participation is defined as reporting any gainful occupation, as recorded in OCC1950 (except for institutional inmates, as explained below). From 1940 to 1990, participation follows the modern labor force definition as explicated in EMPSTAT: working or seeking work within a specific reference week. Institutional inmates, as defined in the variable RELATE, are coded as being "not in the labor force" for all years, although such persons were able to report an occupation (OCC/OCC1950) from 1850 to 1920. The gainful employment (1850-1920) and labor force (1940-2000) definitions are likely to produce different results with respect to seasonal and part-time labor. Also, new workers who were looking for their first job are likely to be reported out of the labor force before 1940, but are classified in the labor force 1940-2000. Some scholars argue that the labor force and gainful employment definitions create an additional disparity in the measurement of married female labor. Historically, occupational status was inherently somewhat ambiguous for married women, who might have considered their principal occupation "housewife" despite other labor they performed. The labor force concept instituted in 1940 removed some of this ambiguity by treating even a single hour of paid employment as labor force participation. For years prior to 1940, users should carefully examine the enumerator instructions for each year with respect to women and children, since the criteria for gainful employment changed between censuses. Even later censuses applied special rules for the treatment of unpaid family labor. Codes: CodeFrequencyN/A018757No, not in labor force115023Yes, in labor force211871 OCC1950 Columns 119-121 Occupation, 1950 basis Universe: Age 10+. Description: OCC1950 recodes information contained in the IPUMS variable OCC into the 1950 Census Bureau occupational classification system. Codes above 970 are non-occupational responses retained in the historical census samples. OCC1950 is intended to enhance comparability of occupational data across all years contained in the IPUMS. The design of OCC1950 is described at length in our general discussion of occupational coding. See Chapter 4, "Occupation Codes and Income Scores." The composition of the occupation categories is described in detail in U.S. Bureau of the Census, Alphabetic Index of Occupations and Industries: 1950 (Washington D. C., 1950). In 1850-1900 the farm laborer and housekeeper categories are augmented by the following imputation procedures. Any laborer in a household with a farmer is recoded into farm labor. In 1860-1880 any woman with an occupational response of "housekeeper" is recoded into the non-occupational category "keeping house" if she is related to the head of household. These cases are identified by an appropriate data quality flag. Codes: See HYPERLINK http://www.ipums.umn.edu/usa/flags.html   www.ipums.umn.edu/usa/pwork/occ1950b.html for a listing of OCC1950 codes. OCC Columns 122-124 Occupation Universe: Age 10+. Description: OCC reports the person's primary occupation, coded into a contemporary census classification scheme. (Some non-occupational activities are also recorded in the pre-1940 samples.) Generally, the primary occupation is that from which the person earns the most money; if the respondent was not sure about this, s/he was to report the one at which s/he spent the most time. Unemployed persons were to give their most recent occupation. If persons listed more than one occupation, the samples use the first one listed. The meaning of the OCC codes differs by year and, in 2000, by sample. The methodology by which each year's codes were derived can be found in "Occupation Coding Guidelines" in Volume 2: Users Guide Supplement. The codes themselves are listed in "Occupation Appendices," in Volume 2: Users Guide Supplement. In 2000, the Census Bureau suppressed about 7% of occupation codes in the 5% data. Instead of coding these occupations individually, as they did in the 2000 1% data, the bureau included the suppressed occupations in other categories. See the 2000 occupation codes page for specific recodes. For all years except 1850-1900, the occupations are classified according to the contemporary Census Bureau classification system. In 1850-1900, occupations are classified according to the 1880 system. The classification systems have changed markedly over the years. The 1880 census occupational classification was oriented more to work settings and economic sectorswhat is now termed "industry"than to workers' specific technical functions. The 1910 and 1920 classifications incorporate function as well as setting and sector, and are very detailed. By 1940, the census generally equated occupation with workers' functions, and relegated work setting and economic sector to a separate industry variable. (The IPUMS variables IND and IND1950, available for 1910 to 1990, classify work in this way). In 1850-1900 the farm laborer and housekeeper categories are augmented by the following imputation procedures. Any laborer in a household with a farmer is recoded into farm labor. Any woman with an occupational response of "housekeeper" is recoded into the non-occupational category "keeping house" if she is related to the head of household. These cases are identified by an appropriate data quality flag. The IPUMS provides another key occupational variable, OCC1950, which recodes the OCC codes into a common classification systemthe one used in 1950. OCC and OCC1950 are discussed at length in our general discussion of occupational coding in Chapter 4, "Occupation Codes and Income Scores." The term "labor force" and other vital employment concepts are defined in the documentation for the IPUMS variables EMPSTAT and LABFORCE. User Note: Enumerator instructions for occupation were often quite long and complicated. The specific wording of the instructions in a given year may affect how particular groups (e.g., women, children, retirees) were enumerated. See "Enumerator Instructions" and "Census Enumeration Forms" in Volume 3: Counting the Past for replications. Users should also take particular note of the changing universe of persons subject to the occupation question (e.g., the rising minimum ages). Persons currently in the armed forces are out of the universe for OCC from 1960 to 1980, yet persons may still report an occupation in the armed services if they are not in the labor force but their last job (within 5 or 10 years) was in the military. Codes: See HYPERLINK http://www.ipums.umn.edu/usa/flags.html  www.ipums.umn.edu/usa/volii/88occup.html for a listing of OCC codes. OCCSCORE Columns 125-126 Occupational index score Universe: Age 10+. Description: OCCSCORE is a constructed variable that assigns occupational income scores to each occupation on the basis of OCC1950. The construction of this variable is described in Chapter 4, "Occupation Codes and Income Scores," which users should read before using this variable. In essence, OCCSCORE assigns each occupation in all years a value representing the median total income (in hundreds of 1950 dollars) of all persons with that particular occupation in 1950. That is, it provides a continuous measure of occupations according to the economic rewards enjoyed by people working at them in 1950. Codes: 00=N/A SEI Columns 127-128 Duncan Socioeconomic Index Universe: Age 10+. Description: SEI is a constructed variable that assigns a Duncan Socioeconomic Index (SEI) score to each occupation. The SEI, which is based on the 1950 occupational classification system, is a measure of occupational status based upon the income level and educational attainment associated with each occupation in 1950. The score was derived by using median income and education levels for men in 1950 to predict prestige assessments from a 1947 survey (of a select group of occupations). The resulting statistical model was used to generate scores for the entire range of 1950 occupations. See O. D. Duncan, "A Socioeconomic Index for All Occupations," in A. Reiss et al., Occupations and Social Status (Free Press, 1961). The SEI variable is based on OCC1950. For more information on the construction of that variable, see Chapter 4, "Occupation Codes and Income Scores." Users must judge for themselves how socioeconomic or prestige status may have changed relative to the circa-1950 survey results. Codes: 00=N/A Maximum value: 96 IND1950 Columns 129-131 Industry, 1950 basis Universe: Age 10+. Description: IND1950 recodes information contained in the IPUMS variable IND into the 1950 Census Bureau industrial classification system. We designed it to enhance comparability of industry data across all years for which IND is available. IND1950 was designed the same way as OCC1950 (Occupation, 1950 basis), the procedure for which is discussed in detail in Chapter 4, "Occupation Codes and Income Scores." The composition of the industry categories is described in detail in U.S. Bureau of the Census, Alphabetic Index of Occupations and Industries: 1950 (Washington D. C., 1950). The term "labor force" and other vital employment concepts are defined in the documentation for the IPUMS variables EMPSTAT and LABFORCE. Prior to 1910, the census did not directly inquire about industry. In many instances, however, we were able to classify industry based on information in the occupation response. In a substantial number of cases, we were unable to determine an industrythese are given the missing code "999." User Caution: Industry was first asked as a distinct question in the 1910 census. The samples from 1850 to 1880 infer industry on the basis of the occupation response. Often, the industry was unambiguous. In fact, one of the difficulties in coding occupations in the nineteenth-century censuses was the penchant for people to report their industry rather than their occupation. Nevertheless, the 1850-1880 industry information is undoubtedly inferior to the later censuses. Each of these years contains a large "not classifiable" category (code 997). We did not attempt to impute these missing values. Codes: See  HYPERLINK http://www.ipums.umn.edu/usa/pwork/ind1950b.html www.ipums.umn.edu/usa/pwork/ind1950b.html for a listing of IND1950 codes. YRSUSA1 Columns 145-146 Years in the United States Universe: Foreign born. Description: YRSUSA1 indicates how long each foreign-born person had been living in the United States. (Researchers who are interested in the year of immigration, as opposed to the length of time spent in the United States, should see the IPUMS variable YRIMMIG). Comparability: In 1900, the census asked both for the year of immigration (see YRIMMIG) and for the number of complete years elapsed since the person's arrival, which is reported in YRSUSA1. In some cases, these numbers might be in conflict, since a person might have spent some time living outside of the United States since the time of their original arrival - the census gave no explicit directions for these cases, so enumerators and/or respondents may have interpreted them inconsistently. Codes: 00 = N/A or less than one year. MOUNEMP Columns 147-148 Months unemployed last year Universe: Age 10+. Description: MOUNEMP gives the number of months out of the previous twelve that each person who reported having an occupation (i.e., those who ordinarily worked) had been unemployed. Codes: CodeFrequency0 Months092591172223063353644571552266690477185882269924010101561111441212104Not stated/Missing9932822 QTRUNEMP Column 149 Quarters unemployed last year Universe: Age 10+. Description: QTRUNEMP describes how many quarter-year equivalents a person was unemployed last year (rounded up). Codes: CodeFrequencyN/A032822Not unemployed last year19259Up to one quarter unemployed last year2914Two quarters unemployed31701Three quarters unemployed4651Four quarters unemployed5304 NAMELAST Columns 213-228 Last name Universe: All persons. Description: NAMELAST is an alphabetic variable giving the first 16 letters of the person's last name as the enumerator recorded it on the census form. A question mark embedded in a name indicates an illegible character. A question mark and space preceding a name means that the entry was difficult to read and the name is the best interpretation possible. An exclamation point indicates the entire entry was illegible. An asterisk indicates the field was blank. Codes: See text above. NAMEFRST Columns 229-244 First name Universe: All persons. Description: NAMEFRST is an alphabetic variable giving the first 16 letters of the person's first name as the enumerator recorded it on the census form. Middle initials and names follow the first name if the enumerator recorded them. A question mark embedded in a name indicates an illegible character. A question mark and space preceding a name means that the entry was difficult to read and the name is the best interpretation possible. An exclamation point indicates the entire entry was illegible. An asterisk mark indicates the field was blank. Codes: See text above. AGEMONTH Columns 245-246 Age in months Universe: Age under 1 year. Description: AGEMONTH gives the age in months of persons less than one year old (AGE = 0) on census day. For 1910, it also gives the age in months beyond one year for persons age 1. (That is, an 18-month-old would be coded "1" in the IPUMS variable AGE and "6" in AGEMONTH; a 6-month-old would also be coded "6" in AGEMONTH, but would be coded "0" in AGE.) For 1920, it does this not only for 1-year-olds, but for 2-, 3, and 4-year-olds as well. Most users who analyze 1910 and/or 1920 in conjunction with the other years will therefore want to select only persons for whom the IPUMS variable AGE = "0." If this is done, the variable is comparable for all years. Age in months was originally recorded as a fraction of a year on the census forms. The enumerator instructions suggest that it be recorded as some number over 12, but the frequency distributions indicate that some enumerators recorded it as a round number (often as "1/2," coded in the samples as 6 monthsthe most common code in all years) instead of the exact figure. It appears enumerators in 1850-1880 recorded children under one month old as one month old. Codes: See text above. BIRTHMO Columns 247-248 Month of birth Universe: All persons. Description: BIRTHMO gives the person's month of birth. Codes: CodeFrequencyJanuary15099February23650March34986April44122May55441June63762July72834August83064September93040October103122November112920December123611 SURSIM Columns 259-260 Surname similarity Universe: All persons. Description: SURSIM assigns the same code to all persons within each household who had the same surname. All persons coded "1," including the household head, had the same surname as the household head. Other surnames are assigned codes in the order in which they appear within the household on the census form. Persons within any household who shared a surname will have the same code. Codes: See text above. PFARMSCH Column 269 Person received farm schedule Universe: All persons. Description: PFARMSCH identifies which persons within the household (if any) filled out farm schedules for the agricultural census. Codes: See text above. QCHSURV Column 278 Children surviving Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QAGE Column 279 Age Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QAGEMONT Column 280 Age in months Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QBIRTHMO Column 282 Month of birth Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QBPL Column 283 Birthplace Detailed Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QLIT Column 284 Literacy Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QCHBORN Column 285 Children born Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QCITIZEN Column 286 Children born Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QFBPL Column 290 Fathers birthplace Detailed Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QMBPL Column 303 Mothers birthplace Detailed Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QMARST Column 306 Marital status Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QOCC Column 314 Occupation Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QQTRUNEM Column 315 Quarters unemployed last year Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QRACE Column 316 Race Detailed Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QRELATE Column 317 Relationship to household head Detailed Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QSURSIM Column 318 Surname similarity Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QDURMARR Column 321 Duration of current marriage Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QSCHOOL Column 322 School attendance Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QSEX Column 323 Sex Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QSPEAKEN Column 324 Speaks English Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS QYRIMM Column 333 Year of immigration Data quality flag Universe: All persons. Description: Refer to the Data Quality Flag Introduction at www.ipums.umn.edu/usa/flags.html for a general description of IPUMS data quality flags. Codes: 0 - Unaltered case 2 - Logical hand edit by Census Office or by census sample research staff 3 - Logical computer edit by IPUMS 4 - Hot deck allocation by IPUMS INAME Columns 334-368 Indian name Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Other name, if any. Enumerators were instructed to Write the Indian name, if the person has one, in additiion to the English name given in column 3. If the Indian only has one name, Indian or English, repeat the name in this column. Codes: See text above. TRIBE Columns 491-495 Individuals Tribe Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Tribe of this Indian. Enumerators were instructed to secure the name of the tribe with which the person is connected . The first two digits of TRIBE represent a general code, with the last tree digits providing a detailed code. Codes: TRIBEGENDETMissing, Blank00000Amerind White00548Not Indian, White00971Not Indian, Black00972Chinese00976Not Indian00999Alaskan Athabaskan - Tanaina01008Alaskan Athabaskan01014Alaska Indian01019Canadian Athabaskan01525Apache02255Apache - Jicarilla02257Apache - Lipan02258Apache - Mescalero02259Apache - Payson02263Apache - White Mountain02264Blackfoot03360Cherokee04416Cherokee - Black04549Cheyenne05361Chickasaw06436Chippewa07330Chippewa - French American Indian07553Choctaw - Mississippi Choctaw08226Choctaw08434Choctaw - Chitimacha08460Comanche09325Creek10425Crow11322Iroquois12405Iroquois - Seneca12406Iroquois - Cayuga12410Iroquois - Onondaga12411Iroquois - Oneida12412Iroquois - Mohawk12413Iroquois - Tuscarora12414Iroquois - Wyandotte12415Iroquois - Amerind White12548Kiowa13276Navajo15275Osage16320Paiute17175Paiute - Kaibab17189Pima18217Potawatomie19367Pueblo20229Pueblo - Tigua20230Pueblo - Taos20231Pueblo - Keres20235Pueblo - Acoma20236Pueblo - Cochiti20237Pueblo - Laguna20238Pueblo - Tewa20243Pueblo - Arizona Tewa20250Pueblo - Hopi20252Pueblo - Zuni20253Seminole21438Shoshone22195Shoshone - Goshute22200Shoshone - South Fork22203Sioux23282Sioux - Rosebud23295Sioux - Sisseton-Wahpeton23297Sioux - Teton23298Sioux - Brule23299Sioux - Lower Brule23300Sioux - Sans Arc23301Sioux - Two Kettle23302Sioux - Oglala23304Sioux - Miniconjou23305Sioux - Yanktonai23306Sioux - Yankton 23307Sioux - Santee23308Sioux - Sisseton 23309Sioux - Mdewakanton23310Sioux - Wahpekute23311Sioux - Wahpeton23312Sioux - Wazhaza23327Sioux - Amerind White23548Tlingit24017Tohono O'Odham25218Tohono O'Odham - Central American Indian25551Iowa26314Umpqua26013Alaska Native26015Haida26016Tsimshian26018Alaska Indian26019Chehalis26020Klallam26022Port Gamble Klallam26025Coquilles26026Cowlitz26027Lummi26028Sauk-Suiattle26038Quinault26050Quileute26051Hoh26052Makah26053Chinook26055Clatsop26056Upper Chinook26059Alsea26062Cayuse26063Coos26065Kalapuya26066Klamath26067Molala26068Oregon Athabaskan26069Tenino26072Tillamook26073Umatilla26075Walla-Walla26076Cahuilla26084Chemehuevi26087Chumash26089Diegueno26093Digger26094Hoopa26096Karok26098La Jolla26100Luiseno26103Konkow26109Mattole26110Miwok26111Modoc26113Mono26114Nomalaki26115Pit River26119Pomo26120Serrano26134Shasta26135Soboba26136Sycuan26137Tolowa26138Kern River26140Tule River26141Wailaki26143Wintu26146Chukchansi26151Yuki26152Yurok26153Columbia26155Kalispel26156Salish26157Coeur D'Alene26158Colville26159Spokane26160Nez Perce26161Washo26162Wishram26167Trinity26169Ute26170Uintah Ute26172Shoshone Paiute26174Bannock26207Kootenai26208Havasupai26209Hualapai26211Maricopa26213Quechan26214Cocopah26215Mohave26216Jemez26251Tonkawa26277Arikara26279Wichita26281Assiniboine26313Otoe-Missouria26315Winnebago26316Kaw26317Omaha26318Ponca26319Quapaw26321Mandan26324Leelanau26337Cree 26354Arapaho26364Menominee26366Ottawa26375Miami26376Sac and Fox26377Peoria26378Kickapoo26380Shawnee26381Algonquian26382Micmac26383Mailseet26384Passamaquoddy26385Penobscot26388Abenaki26389Narragansett26392Pequot26393Mohegan26394Brotherton26397Shinnecock26398Stockbridge26399Munsee26400Yuchi26427Hitchiti26428Alabama Coushatta26433Matinecock26445Nansemond26452Catawba26459Croatan26462Powhatan26466Tunica26467Coushatta26471Grand Ronde26486Mission Indians26488Morongo26489Siletz26493Gros Ventres26502Warm Springs26504Red Wood26507Georgetown26509Scotts Valley26512Canadian Indian26525Caddo26533Pawnee26534Wenatchee26543French American Indian26553Spanish American Indian26554Tribal resonse, not elsewhere classified26598American Indian26973Tribe not specified, Canadian Indian27525Tribe not specified, Amerind White27548Tribe not specified, Mexican American Indian27550Tribe not specified, French American Indian27553Tribe not specified27973Aleut30019Eskimo40019Delaware50401Mexican American Indian51550Central American Indian51551South American Indian51552Puget Sound Salish - Nooksack52029Puget Sound Salish52030Puget Sound Salish - Duwamish52031Puget Sound Salish - Kikiallus52032Puget Sound Salish - Muckleshoot52034Puget Sound Salish - Nisqually52035Puget Sound Salish - Puyallup52036Puget Sound Salish - Samish52037Puget Sound Salish - Upper Skagit52039Puget Sound Salish - Skykomish52040Puget Sound Salish - Snohomish52041Puget Sound Salish - Snoqualmie52042Puget Sound Salish - Steilacoom52044Puget Sound Salish - Suquamish52046Puget Sound Salish - Swinomish52047Puget Sound Salish - Tulalip52048Puget Sound Salish - Port Madison52049Puget Sound Salish - Skokomish52079Yakima53078Yaqui54223Hawaiian57653 FTRIBE Columns 505-509 Fathers tribe Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Tribe of this Indian. Enumerators were instructed to secure the name of the tribe with which the person is connected . The first two digits of FTRIBE represent a general code, with the last tree digits providing a detailed code. Codes: See codes above for TRIBE. MTRIBE Columns 510-514 Mothers tribe Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Tribe of this Indian. Enumerators were instructed to secure the name of the tribe with which the person is connected . The first two digits of MTRIBE represent a general code, with the last tree digits providing a detailed code. Codes: See codes above for TRIBE. BLOODW Columns 515-517 Amount of white blood Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Has this Indian any white blood; if so, how much? (0, 1/2, 1/4, 1/8). Enumerator instuctions stated If the Indian has no white blood, write 0. If he or she has white blood, write 1/2, 1/4, 1/8. whichever fraction is nearest the truth. Enumerators entered a wide variety of fractions in response to this question. We converted the fractions to a percentage; thus the values of BLOODW range from 0 (no white blood) to 100 (presumably meaning all white blood). In addition: 997 = illegible 998 = unknown 999 = missing/blank Codes: See text above. IMARST Columns 518 Polygamy Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Is this Indian, if married, living in polygamy. Enumerator instuctions stated If the Indian is living with more than one wife, of if the Indian woman is a plural wife or has more than one husband, write Yes. If not, write No. If the Indian is single, leave the column blank. Codes: CodeFrequencyNo113460Yes2453Not classified66Illegible722Unknown84Missing/Blank931706 ITAX Columns 519 Tax status Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Is this Indian taxed? Enumerator instuctions stated An Indian is considered taxed if he or she is detached from his or her tribe and living among whit epeople as an individual, and as such subject to taxation, whether he or she actually pays taxes or not; also if he or she is living with his or her tribe but has received an allotment , and thereby has acquired citizenship; in either of these two cases the answer to this inquiry is Yes. Codes: CodeFrequencyNo120935Yes26797Illegible71Unknown89Missing/Blank917909 IYRCIT Columns 520-522 Year of citizenship Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Year of acquiring citizenship. Enumerator instuctions stated If the Indian was born in tribal relations, but has acquired citizenship, write the year in which it ws acquired. Codes: 996 = not classified 997 = illegible 998 = unknown 999 = missing/blank ICITIZEN Columns 523 Citizenship acquired by allotment Universe: All persons. Description: The modified schedule used to enumerate Indians contained a field labeled Was citizenship acquired by allotment? Enumerator instuctions stated If the Indian acquired citizenship by receiving an allotment of land from the Government, write Yes. If he or she acquired citizenship by other means, write No. If he or she has not acquired American citizenship, leave the column blank. 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