DDI_USA_2010_CS_v01_M_v02_A_IPUMS Minnesota Population Center 2016-04-25 NADA - Version 02 (April 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated. Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata. The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata. Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4. Previous version documented in the World Bank Microdata Library: - v6.3 (August 2014) American Community Survey 2010 - IPUMS Subset CS 2010 (IPUMS Harmonized Subset) USA_2010_CS_v01_M_v02_A_IPUMS U.S. Census Bureau Minnesota Population Center Minnesota Population Center (c) Copyright 2010, U.S. Census Bureau and Minnesota Population Center NADA U.S. Census Bureau Population and Housing Census [hh/popcen] Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming. In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries. In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Further explanation of the new geographic variables and the GIS boundary files is available <a href='https://international.ipums.org/international/geography_gis.shtml'>here</a>. Technical Household Variables -- HOUSEHOLD Geography: M-Z Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Technical Person Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Disability Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Income Variables -- PERSON Migration Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Other Person Variables -- PERSON Person Imputation Flags Variables -- PERSON Fertility and Mortality Variables -- PERSON IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. United States National coverage PUMAS (Public Use Microdata Areas (PUMAs) containing 100,000 or more residents Households and Group Quarters UNITS IDENTIFIED: - Dwellings: No - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes UNIT DESCRIPTIONS: - Households: Dwelling places excluding institutions and transient quarters. - Group quarters: A place where people live or stay, in a group living arrangement, that is owned or managed by an entity or organization providing housing and/or services for the residents. These services may include custodial or medical care as well as other types of assistance, and residency in commonly restricted to those receiving these services. People living in group quarters are usually not related to each other. Group quarters inlcude such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, and workers' dormitories. Residents of the 50 states (not the outlying areas). Census/enumeration data [cen] UNITS IDENTIFIED: - Dwellings: No - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes UNIT DESCRIPTIONS: - Households: Dwelling places excluding institutions and transient quarters. - Group quarters: A place where people live or stay, in a group living arrangement, that is owned or managed by an entity or organization providing housing and/or services for the residents. These services may include custodial or medical care as well as other types of assistance, and residency in commonly restricted to those receiving these services. People living in group quarters are usually not related to each other. Group quarters inlcude such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, and workers' dormitories. MICRODATA SOURCE: U.S. Census Bureau SAMPLE UNIT: Household SAMPLE FRACTION: 1% SAMPLE SIZE (person records): 3,061,692 Face-to-face [f2f] The 2010 American Community Survey employed a single long form questionnaire completed by one of 100 households and group quarters. De jure, CENSUS DAY: No specific day Weights computed by census agency should be used for most types of analysis. UNDERCOUNT: No official estimates IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record. IPUMS International Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4. Researchers should also acknowledge the statistical agency that originally produced the data: United States, U.S. Census Bureau, 2010 American Community Survey The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS-International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions: IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. USA2010-H-H Household records 0 240 USA2010-P-H Person records 0 421 Record type Record type Record type Record type Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. Technical Household Variables -- HOUSEHOLD IPUMS Year Year Year Year Year 1960 1960 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 YEAR gives the year in which the census was taken. Technical Household Variables -- HOUSEHOLD IPUMS IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier 32197001 Argentina 1970 32199101 Argentina 1991 32200101 Argentina 2001 32201001 Argentina 2010 32219801 Argentina 1980 40197101 Austria 1971 40198101 Austria 1981 40199101 Austria 1991 40200101 Austria 2001 40201101 Austria 2011 50199101 Bangladesh 1991 50200101 Bangladesh 2001 50201101 Bangladesh 2011 51200101 Armenia 2001 51201101 Armenia 2011 68197601 Bolivia 1976 68199201 Bolivia 1992 68200101 Bolivia 2001 76196001 Brazil 1960 76197001 Brazil 1970 76198001 Brazil 1980 76199101 Brazil 1991 76200001 Brazil 2000 76201001 Brazil 2010 112199901 Belarus 1999 116199801 Cambodia 1998 116200801 Cambodia 2008 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 156198201 China 1982 156199001 China 1990 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 275199701 Palestine 1997 275200701 Palestine 2007 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 324198301 Guinea 1983 324199601 Guinea 1996 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 368199701 Iraq 1997 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 380200101 Italy 2001 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 508199701 Mozambique 1997 508200701 Mozambique 2007 524200101 Nepal 2001 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 646199101 Rwanda 1991 646200201 Rwanda 2002 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 694200401 Sierra Leone 2004 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 728200801 South Sudan 2008 729200801 Sudan 2008 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 804200101 Ukraine 2001 818199601 Egypt 1996 818200601 Egypt 2006 826199101 United Kingdom 1991 826200101 United Kingdom 2001 834198801 Tanzania 1988 834200201 Tanzania 2002 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 858196301 Uruguay 1963 858197501 Uruguay 1975 858198501 Uruguay 1985 858199601 Uruguay 1996 858200621 Uruguay 2006 858201101 Uruguay 2011 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). Technical Household Variables -- HOUSEHOLD IPUMS Household serial number Household serial number Household serial number Household serial number Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002 Colombia 1993, 2005 Costa Rica 1984, 2000 Cuba 2002 Dominican Republic 1981, 2002, 2010 Ecuador 1990, 2001 Germany 1971 Hungary 1980, 1990, 2001 Jamaica 1982, 1991, 2001 Malaysia 1970, 1991, 2000 Mexico 1995, 1990, 2000, 2005 Nigeria 2006 Panama 2000 Peru 1993, 2007 Portugal 1981, 1991, 2001 Spain 1991 Uruguay 2011 Venezuela 1990, 2001 Vietnam 1989 In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. Technical Household Variables -- HOUSEHOLD IPUMS Number of person records in the household Number of person records in the household Number of person records in the household Number of person records in the household Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. Technical Household Variables -- HOUSEHOLD IPUMS Subsample number Subsample number Subsample number Subsample number Subsample number 1st 1% subsample 1 2nd 1% subsample 2 3rd 1% subsample 3 4th 1% subsample 4 5th 1% subsample 5 6th 1% subsample 6 7th 1% subsample 7 8th 1% subsample 8 9th 1% subsample 9 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can 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. Technical Household Variables -- HOUSEHOLD IPUMS United States, Region United States, Region United States, Region United States, Region United States, Region 11 New England division 12 Middle Atlantic division 13 Northeast, n.s. 21 East North Central division 22 West North Central division 23 Midwest, n.s. 31 South Atlantic division 32 East South Central division 33 West South Central division 34 South, n.s. 41 Mountain division 42 Pacific division 43 West, n.s. 99 Region unknown REGNUS indicates the census region in the United States in which the household was enumerated. REGNUS is the largest-scale geographic identifier available in the U.S. samples. REGNUS is harmonized by name and does not account for boundary changes over time. The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. Geography: M-Z Variables -- HOUSEHOLD IPUMS Telephone availability Telephone availability Telephone availability Telephone availability Telephone availability NIU (not in universe) 1 No 2 Yes 9 Unknown/missing PHONE indicates the availability of a telephone in the dwelling. Utilities Variables -- HOUSEHOLD IPUMS Automobiles available Automobiles available Automobiles available Automobiles available Automobiles available No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS United States, Metropolitan area United States, Metropolitan area United States, Metropolitan area United States, Metropolitan area United States, Metropolitan area Household not in an identifiable metropolitan area 4 Abilene, TX 8 Akron, OH 12 Albany, GA 16 Albany-Schenectady-Troy, NY 20 Albuquerque, NM 22 Alexandria, LA 24 Allentown-Bethlehem-Easton, PA/NJ 28 Altoona, PA 32 Amarillo, TX 38 Anchorage, AK 40 Anderson, IN 44 Ann Arbor, MI 45 Anniston, AL 46 Appleton-Oskosh-Neenah, WI 48 Asheville, NC 50 Athens, GA 52 Atlanta, GA 56 Atlantic City, NJ 58 Auburn-Opelika, AL 60 Augusta-Aiken, GA-SC 64 Austin, TX 68 Bakersfield, CA 72 Baltimore, MD 73 Bangor, ME 74 Barnstable-Yarmouth, MA 76 Baton Rouge, LA 78 Battle Creek, MI 84 Beaumont-Port Arthur-Orange, TX 86 Bellingham, WA 87 Benton Harbor, MI 88 Billings, MT 92 Biloxi-Gulfport, MS 96 Binghamton, NY 100 Birmingham, AL 101 Bismarck, ND 102 Bloomington, IN 104 Bloomington-Normal, IL 108 Boise City, ID 112 Boston, MA 114 Bradenton, FL 115 Bremerton, WA 116 Bridgeport, CT 120 Brockton, MA 124 Brownsville - Harlingen-San Benito, TX 126 Bryan-College Station, TX 128 Buffalo-Niagara Falls, NY 130 Burlington, NC 131 Burlington, VT 132 Canton, OH 135 Casper, WY 136 Cedar Rapids, IA 140 Champaign-Urbana-Rantoul, IL 144 Charleston-N.Charleston,SC 148 Charleston, WV 152 Charlotte-Gastonia-Rock Hill, SC 154 Charlottesville, VA 156 Chattanooga, TN/GA 158 Cheyenne, WY 160 Chicago-Gary-Lake IL 162 Chico, CA 164 Cincinnati, OH/KY/IN 166 Clarksville- Hopkinsville, TN/KY 168 Cleveland, OH 172 Colorado Springs, CO 174 Columbia, MO 176 Columbia, SC 180 Columbus, GA/AL 184 Columbus, OH 188 Corpus Christi, TX 190 Cumberland, MD/WV 192 Dallas-Fort Worth, TX 193 Danbury, CT 195 Danville, VA 196 Davenport, IA-Rock Island-Moline, IL 200 Dayton-Springfield, OH 202 Daytona Beach, FL 203 Decatur, AL 204 Decatur, IL 208 Denver-Boulder-Longmont, CO 212 Des Moines, IA 216 Detroit, MI 218 Dothan, AL 219 Dover, DE 220 Dubuque, IA 224 Duluth-Superior, MN/WI 228 Dutchess County, NY 229 Eau Claire, WI 231 El Paso, TX 232 Elkhart-Goshen, IN 233 Elmira, NY 234 Enid, OK 236 Erie, PA 240 Eugene-Springfield, OR 244 Evansville, IN/KY 252 Fargo-Moorhead, ND/MN 256 Fayetteville, NC 258 Fayetteville-Springdale, AR 260 Fitchburg-Leominster, MA 262 Flagstaff, AZ 264 Flint, MI 265 Florence, AL 266 Florence, SC 267 Fort Collins-Loveland, CO 268 Fort Lauderdale-Hollywood-Pompano Beach, FL 270 Fort Myers-Cape Coral, FL 271 Fort Pierce, FL 272 Fort Smith, AR/OK 275 Fort Walton Beach, FL 276 Fort Wayne, IN 284 Fresno, CA 288 Gadsden, AL 290 Gainesville, FL 292 Galveston-Texas City, TX 297 Glens Falls, NY 298 Goldsboro, NC 299 Grand Forks, ND/MN 300 Grand Rapids, MI 301 Grand Junction, CO 304 Great Falls, MT 306 Greeley, CO 308 Green Bay, WI 312 Greensboro-Winston Salem-High Point, NC 315 Greenville, NC 316 Greenville-Spartenburg-Anderson, SC 318 Hagerstown, MD 320 Hamilton-Middleton, OH 324 Harrisburg-Lebanon-Carlisle, PA 328 Hartford-Bristol-Middletown-New Britian, CT 329 Hickory-Morgantown, NC 330 Hattiesburg, MS 332 Honolulu, HI 335 Houma-Thibodoux, LA 336 Houston-Brazoria, TX 340 Huntington-Ashland, WV/KY/OH 344 Huntsville, AL 348 Indianapolis, IN 350 Iowa City, IA 352 Jackson, MI 356 Jackson, MS 358 Jackson, TN 359 Jacksonville, FL 360 Jacksonville, NC 361 Jamestown-Dunkirk, NY 362 Janesville-Beloit, WI 366 Johnson City-Kingsport-Bristol, TN/VA 368 Johnstown, PA 371 Joplin, MO 372 Kalamazoo-Portage, MI 374 Kankakee, IL 376 Kansas City, MO-KS 380 Kenosha, WI 381 Killeen-Temple, TX 384 Knoxville, TN 385 Kokomo, IN 387 LaCrosse, WI 388 Lafayette, LA 392 Lafayette-W. Lafayette,IN 396 Lake Charles, LA 398 Lakeland-Winterhaven, FL 400 Lancaster, PA 404 Lansing-E. Lansing, MI 408 Laredo, TX 410 Las Cruces, NM 412 Las Vegas, NV 415 Lawrence, KS 420 Lawton, OK 424 Lewiston-Auburn, ME 428 Lexington-Fayette, KY 432 Lima, OH 436 Lincoln, NE 440 Little Rock-North Little Rock, AR 441 Long Branch-Asbury Park, NJ 442 Longview-Marshall, TX 444 Lorain-Elyria, OH 448 Los Angeles-Long Beach, CA 452 Louisville, KY/IN 460 Lubbock, TX 464 Lynchburg, VA 468 Macon-Warner Robins, GA 472 Madison, WI 476 Manchester, NH 480 Mansfield, OH 488 McAllen-Edinburg-Pharr-Mission, TX 489 Medford, OR 490 Melbourne-Titusville-Cocoa-Palm Bay, FL 492 Memphis, TN/AR/MS 494 Merced, CA 500 Miami-Hialeah, FL 504 Midland, TX 508 Milwaukee, WI 512 Minneapolis-St. Paul, MN 516 Mobile, AL 517 Modesto, CA 519 Monmouth-Ocean, NJ 520 Monroe, LA 524 Montgomery, AL 528 Muncie, IN 532 Muskegon-Norton Shores-Muskegon Heights, MI 533 Myrtle Beach, SC 534 Naples, FL 535 Nashua, NH 536 Nashville, TN 540 New Bedford, MA 546 New Brunswick-Perth Amboy-Sayreville, NJ 548 New Haven-Meriden, CT 552 New London-Norwich, CT/RI 556 New Orleans, LA 560 New York-Northeastern NJ 564 Newark, OH 566 Newburgh-Middletown, NY 572 Norfolk-VA Beach-Newport News, VA 576 Norwalk, CT 579 Ocala, FL 580 Odessa, TX 588 Oklahoma City, OK 591 Olympia, WA 592 Omaha, NE/IA 595 Orange County, NY 596 Orlando, FL 599 Owensboro, KY 601 Panama City, FL 602 Parkersburg-Marietta,WV/OH 603 Pascagoula-Moss Point, MS 608 Pensacola, FL 612 Peoria, IL 616 Philadelphia, PA/NJ 620 Phoenix, AZ 624 Pine Bluff, AR 628 Pittsburgh-Beaver Valley, PA 632 Pittsfield, MA 640 Portland, ME 644 Portland-Vancouver, OR 645 Portsmouth-Dover-Rochester, NH/ME 646 Poughkeepsie, NY 648 Providence-Fall River-Pawtuckett, MA 652 Provo-Orem, UT 656 Pueblo, CO 658 Punta Gorda, FL 660 Racine, WI 664 Raleigh-Durham, NC 666 Rapid City, SD 668 Reading, PA 669 Redding, CA 672 Reno, NV 674 Richland-Kennewick-Pasco, WA 676 Richmond-Petersburg, VA 678 Riverside-San Bernadino,CA 680 Roanoke, VA 682 Rochester, MN 684 Rochester, NY 688 Rockford, IL 689 Rocky Mount, NC 692 Sacramento, CA 696 Saginaw-Bay City-Midland, MI 698 St. Cloud, MN 700 St. Joseph, MO 704 St. Louis, MO-IL 708 Salem, OR 712 Salinas-Sea Side-Monterey, CA 714 Salisbury-Concord, NC 716 Salt Lake City-Ogden, UT 720 San Angelo, TX 724 San Antonio, TX 732 San Diego, CA 736 San Francisco-Oakland-Vallejo, CA 740 San Jose, CA 746 San Luis Obispo-Atascad-P Robles, CA 747 Santa Barbara-Santa Maria-Lompoc, CA 748 Santa Cruz, CA 749 Santa Fe, NM 750 Santa Rosa-Petaluma, CA 751 Sarasota, FL 752 Savannah, GA 756 Scranton-Wilkes-Barre, PA 760 Seattle-Everett, WA 761 Sharon, PA 762 Sheboygan, WI 764 Sherman-Denison, TX 768 Shreveport, LA 772 Sioux City, IA/NE 776 Sioux Falls, SD 780 South Bend-Mishawaka, IN 784 Spokane, WA 788 Springfield, IL 792 Springfield, MO 800 Springfield-Holyoke-Chicopee, MA 804 Stamford, CT 805 State College, PA 808 Steubenville-Weirton,OH/WV 812 Stockton, CA 814 Sumter, SC 816 Syracuse, NY 820 Tacoma, WA 824 Tallahassee, FL 828 Tampa-St. Petersburg-Clearwater, FL 832 Terre Haute, IN 836 Texarkana, TX/AR 840 Toledo, OH/MI 844 Topeka, KS 848 Trenton, NJ 852 Tucson, AZ 856 Tulsa, OK 860 Tuscaloosa, AL 864 Tyler, TX 868 Utica-Rome, NY 873 Ventura-Oxnard-Simi Valley 875 Victoria, TX 876 Vineland-Milville-Bridgetown, NJ 878 Visalia-Tulare -Porterville, CA 880 Waco, TX 884 Washington, DC/MD/VA 888 Waterbury, CT 892 Waterloo-Cedar Falls, IA 894 Wausau, WI 896 West Palm Beach-Boca Raton -Delray Beach, FL 900 Wheeling, WV/OH 904 Wichita, KS 908 Wichita Falls, TX 914 Williamsport, PA 916 Wilmington, DE/NJ/MD 920 Wilmington, NC 924 Worcester, MA 926 Yakima, WA 927 Yolo, CA 928 York, PA 932 Youngstown-Warren, OH-PA 934 Yuba City, CA 936 Yuma, AZ METROUS indicates the household's census metropolitan area in the United States from 1970 to present. METROUS is harmonized by name and does not account for boundary changes over time. Metropolitan areas are counties or combinations of counties centering on a substantial urban area. METROUS identifies the household's metropolitan area of enumeration if the household was located in a metropolitan area large enough to meet confidentiality requirements. The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. Geography: M-Z Variables -- HOUSEHOLD IPUMS United States, City United States, City United States, City United States, City United States, City NIU (not in identifiable city) 1 Akron, OH 5 Albany, NY 7 Albuquerque, NM 9 Alexandria, VA 13 Allentown, PA 19 Anaheim, CA 21 Anchorage, AK 27 AnnArbor, MI 29 Arlington, TX 31 Arlington, VA 35 Atlanta, GA 45 Aurora, CO 49 Austin, TX 51 Bakersfield, CA 53 Baltimore, MD 59 Baton Rouge, LA 61 Battle Creek, MI 63 Bay City, MI 65 Bayonne, NJ 67 Beaumont, TX 68 Bellevue, WA 69 Bellingham, WA 71 Berkeley, CA 73 Bethlehem, PA 74 Biddeford, ME 75 Binghampton, NY 77 Birmingham, AL 79 Bloomington, IL 80 Boise, ID 81 Boston, MA 83 Bridgeport, CT 85 Brockton, MA 87 Brookline, MA 88 Brownsville, TX 89 Buffalo, NY 90 Burlington, IA 91 Butte, MT 92 Burbank, CA 93 Cambridge, MA 95 Camden, NJ 97 Camden, NY 99 Canton, OH 100 Cape Coral, FL 101 Cedar Rapids, IA 103 Charlestown, MA 105 Charleston, SC 107 Charleston, WV 109 Charlotte, NC 111 Chattanooga, TN 113 Chelsea, MA 115 Chesapeake, VA 117 Chester, PA 119 Chicago, IL 121 Chicopee, MA 123 Chillicothe, OH 125 Chula Vista, CA 127 Cicero, IL 129 Cincinnati, OH 131 Clarksburg, WV 133 Cleveland, OH 135 Clifton, NJ 137 Clinton, IA 139 Colorado Springs, CO 140 Cohoes, NY 141 Columbia, SC 142 ColumbiaCity, IN 143 Columbus, GA 145 Columbus, OH 147 Concord, CA 149 Concord, NH 150 Corona, CA 151 Council Bluffs, IA 152 Corpus Christi, TX 153 Covington, KY 154 Costa Mesa, CA 155 Cranston, RI 157 Cumberland, MD 159 Dallas, TX 161 Danvers, MA 163 Danville, IL 165 Davenport, IA 167 Dayton, OH 169 Decatur, IL 171 Denver, CO 173 Des Moines, IA 175 Detroit, MI 177 Dorchester, MA 179 Dover, NH 180 Downey, CA 181 Dubuque, IA 183 Duluth, MN 185 Durham, NC 187 East Chicago, IN 189 East Cleveland, OH 191 East Los Angeles, CA 193 East Orange, NJ 194 East Saginaw, MI 195 East St. Louis, IL 197 Easton, PA 199 El Monte, CA 201 El Paso, TX 203 Elgin, IL 205 Elizabeth, NJ 207 Elmira, NY 209 Erie, PA 211 Escondido, CA 213 Eugene, OR 215 Evanston, IL 217 Evansville, IN 219 Everett, MA 221 Everett, WA 223 Fall River, MA 224 Fayetteville, NC 225 Fitchburg, MA 226 Fontana, CA 227 Flint, MI 228 Fond du Lac, WI 229 Fort Lauderdale, FL 230 Fort Collins, CO 231 Fort Smith, AR 233 Fort Wayne, IN 235 Fort Worth, TX 237 Fresno, CA 239 Fullerton, CA 240 Galesburg, IL 241 Galveston, TX 243 Garden Grove, CA 245 Garland, TX 247 Gary, IN 249 Glendale, CA 251 Gloucester, MA 253 Grand Rapids, MI 255 Green Bay, WI 257 Greensboro, NC 259 Hagerstown, MD 261 Hamilton, OH 263 Hammond, IN 265 Hampton, VA 267 Hamtramck village, MI 268 Hannibal, MO 269 Harrisburg, PA 271 Hartford, CT 273 Haverhill, MA 275 Hazleton, PA 277 Hialeah, FL 279 Highland Park, MI 281 Hoboken, NJ 283 Hollywood, FL 285 Holyoke, MA 287 Honolulu, HI 289 Houston, TX 291 Huntington, WV 293 Huntingon Beach, CA 295 Huntsville, AL 297 Independence, MO 299 Indianapolis,IN 301 Inglewood, CA 302 Irivine, CA 303 Irving, TX 305 Irvington, NJ 307 Jackson, MI 309 Jackson, MS 311 Jacksonville, FL 313 Jamestown , NY 315 Jersey City, NJ 317 Johnstown, PA 319 Joliet, IL 321 Joplin, MO 323 Kalamazoo, MI 325 Kansas City, KS 326 Kansas City, MO 327 Kearney, NJ 329 Kenosha, WI 331 Kingston, NY 333 Knoxville, TN 335 Kokomo, IN 337 La Crosse, WI 338 Lafayette, IN 339 Lafayette, LA 341 Lakewood, CO 343 Lakewood, OH 344 Lanaster, CA 345 Lancaster, PA 347 Lansing, MI 349 Las Vegas, NV 351 Lawrence, MA 352 Leavenworth, KS 353 Lehigh, PA 355 Lewiston, ME 357 Lexington, KY 359 Lexington-Fayette, KY 361 Lima, OH 363 Lincoln, NE 365 Little Rock, AR 367 Livonia, MI 368 Lockport, NY 369 Long Beach, CA 371 Lorain, OH 373 Los Angeles, CA 375 Louisville, KY 377 Lowell, MA 379 Lynchburg, VA 381 Lynn, MA 383 Macon, GA 385 Madison, IN 387 Madison, WI 389 Malden, MA 391 Manchester, NH 393 Mansfield, OH 395 Marion, OH 396 McAllen, TX 397 McKeesport, PA 399 Medford, MA 401 Memphis, TN 403 Meriden, CT 405 Mesa, AZ 407 Mesquite, TX 409 Metairie, LA 411 Miami, FL 413 Milwaukee, WI 415 Minneapolis, MN 417 Mobile, AL 419 Modesto, CA 421 Moline, IL 423 Montclair, NJ 425 Montgomery, AL 427 Moreno Valley, CA 429 Mount Vernon, NY 431 Muncie, IN 433 Muskegon, MI 435 Muskogee, OK 437 Nantucket, MA 439 Nashua, NH 441 Nashville-Davidson, TN 443 New Albany, IN 445 New Bedford, MA 447 New Britain, CT 449 New Brunswick, NJ 451 New Castle, PA 453 New Haven, CT 455 New London, CT 457 New Orleans, LA 459 New Rochelle, NY 461 New York, NY 463 Newark, NJ 465 Newark, OH 467 Newburgh, NY 469 Newburyport, MA 471 Newport, KY 473 Newport, RI 475 Newport News, VA 477 Newton, MA 479 Niagara Falls, NY 481 Norfolk, VA 482 North Las Vegas, NV 483 Norristown Boro, PA 484 Northampton, MA 485 North Providence, RI 486 Norwalk, CA 487 Norwalk, CT 489 Norwich, CT 491 Oak Park Village 493 Oakland, CA 495 Oceanside, CA 497 Ogden, UT 499 Oklahoma City, OK 501 Omaha, NE 503 Ontario, CA 504 Orange, CA 505 Orange, NJ 507 Orlando, FL 509 Oshkosh, WI 511 Oswego, NY 513 Oxnard, CA 514 Palmdale, CA 515 Pasadena, CA 517 Pasadena, TX 519 Passaic, NJ 521 Paterson, NJ 523 Pawtucket, RI 525 Pensacola, FL 527 Peoria, IL 529 Perth Amboy, NJ 531 Petersburg, VA 533 Philadelphia, PA 535 Phoenix, AZ 537 Pittsburgh, PA 539 Pittsfield, MA 541 Plainfield, NJ 543 Plano, TX 545 Pomona, CA 547 Pontiac, MI 549 Port Huron, MI 551 Portland, ME 553 Portland, OR 555 Portsmouth, NH 557 Portsmouth, OH 559 Portsmouth, VA 561 Pottsville,PA 563 Poughkeepsie, NY 565 Providence, RI 566 Provo, UT 567 Pueblo, CO 569 Quincy, IL 571 Quincy, MA 573 Racine, WI 575 Raleigh, NC 577 Rancho Cucamonga, CA 579 Reading, PA 581 Reno, NV 583 Revere, MA 585 Richmond, IN 587 Richmond, VA 589 Riverside, CA 591 Roanoke, VA 593 Rochester, NY 595 Rock Island, IL 597 Rockford, IL 599 Rome, NY 601 Roxbury, MA 603 Sacramento, CA 605 Saginaw, MI 607 Saint Joseph, MO 609 Saint Louis, MO 611 Saint Paul, MN 613 Saint Petersburg, FL 615 Salem, MA 617 Salem, OR 619 Salinas, CA 621 Salt Lake City, UT 623 San Antonio, TX 625 San Bernadino, CA 626 San Buenaventura (Ventura), CA 627 San Diego, CA 628 Sandusky, OH 629 San Francisco, CA 631 San Jose, CA 633 Santa Ana, CA 634 Santa Clarita, CA 635 Santa Rosa, CA 637 Savannah, GA 639 Schenectedy, NY 641 Scranton, PA 643 Seattle, WA 645 Sheboygan, WI 647 Shenandoah Borough, PA 649 Shreveport, LA 650 Simi Valley, CA 651 Sioux City, IA 653 Sioux Falls,SD 655 Smithfield, RI 657 Somerville, MA 659 South Bend, IN 661 South Omaha, NE 663 Spokane, WA 665 Springfield, IL 667 Springfield, MA 669 Springfield, MO 671 Springfield, OH 673 Stamford, CT 675 Sterling Heights, MI 677 Steubenville, OH 679 Stockton, CA 681 Sunnyvale, CA 683 Superior, WI 685 Syracuse, NY 687 Tacoma, WA 689 Tampa, FL 691 Taunton, MA 693 Tempe, AZ 695 Terre Haute, IN 696 Thousand Oaks, CA 697 Toledo, OH 699 Topeka, KS 700 Torrance, CA 701 Trenton, NJ 703 Troy, NY 705 Tucson, AZ 707 Tulsa, OK 709 Utica, NY 710 Vancouver, WA 711 Vallejo, CA 712 Vicksburg, MS 713 Virginia Beach, VA 715 Waco, TX 717 Waltham, MA 718 Warren, MI 719 Warren, OH 721 Warwick Town, RI 723 Washington, DC 725 Waterbury, CT 727 Waterloo, IA 729 Waterloo, NY 731 Watertown, NY 732 West Covina, CA 733 West Hoboken, NJ 735 West New York, NJ 737 West Troy, NY 739 Wheeling, WV 741 Wichita, KS 743 Wichita Falls, TX 745 Wilkes-Barre, PA 747 Williamsport, PA 749 Wilmington, DE 751 Wilmington, NC 753 Winston-Salem, NC 755 Woonsocket, RI 757 Worcester, MA 759 Yonkers, NY 761 York, PA 763 Youngstown, OH 765 Zanesville, OH 810 20,000-24,999 811 10,000-19,999 812 City 10,000 - 24,999 820 City 8,000-9,999 830 City 5,000-7,999 840 City 4,000-4,999 850 City 2,500-3,999 860 City 1,000-2,499 870 Under 1,000, incorporated 880 Unincorporated, under 1000 881 Military Reservation 882 Indian Reservation 999 Blank, illegible, missing CITYUS indicates the household's city in the United States from 1980 to present if the household resided in one of the cities identified in a given sample. CITYUS is harmonized by name and does not account for boundary changes over time. The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. Geography: M-Z Variables -- HOUSEHOLD IPUMS Refrigerator Refrigerator Refrigerator Refrigerator Refrigerator NIU (not in universe) 1 No 2 Yes 9 Unknown/missing REFRIG indicates whether the household had a refrigerator. Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS Number of rooms Number of rooms Number of rooms Number of rooms Number of rooms Part of a room; no rooms 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) ROOMS indicates the number of rooms occupied by the housing unit. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Kitchen shared with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Toilet Toilet Toilet Toilet Toilet NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Bathing facilities Bathing facilities Bathing facilities Bathing facilities Bathing facilities NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Group quarters (collective dwelling) status Group quarters (collective dwelling) status Group quarters (collective dwelling) status Group quarters (collective dwelling) status Group quarters (collective dwelling) status Vacant 10 Households 20 Group quarters, n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. Group Quarters Variables -- HOUSEHOLD IPUMS Number of unrelated persons Number of unrelated persons Number of unrelated persons Number of unrelated persons Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head. Group Quarters Variables -- HOUSEHOLD IPUMS Continent and region of country Continent and region of country Continent and region of country Continent and region of country Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. Geography: Global Variables -- HOUSEHOLD IPUMS Number of families in household Number of families in household Number of families in household Number of families in household Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families 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 lodgers or servants would count as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. Constructed Household Variables -- HOUSEHOLD IPUMS Household classification Household classification Household classification Household classification Household classification Vacant household 1 One-person household 2 Married/cohab couple, no children 3 Married/cohab couple with children 4 Single-parent family 5 Polygamous family 6 Extended family, relatives only 7 Composite household, family and non-relatives 8 Non-family household 9 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. Constructed Household Variables -- HOUSEHOLD IPUMS 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 32002 City of Buenos Aires [Province: Argentina] 32006 Buenos Aires province [Province: Argentina] 32010 Catamarca [Province: Argentina] 32014 Córdoba [Province: Argentina] 32018 Corrientes [Province: Argentina] 32022 Chaco [Province: Argentina] 32026 Chubut [Province: Argentina] 32030 Entre Ríos [Province: Argentina] 32034 Formosa [Province: Argentina] 32038 Jujuy [Province: Argentina] 32042 La Pampa [Province: Argentina] 32046 La Rioja [Province: Argentina] 32050 Mendoza [Province: Argentina] 32054 Misiones [Province: Argentina] 32058 Neuquén [Province: Argentina] 32062 Río Negro [Province: Argentina] 32066 Salta [Province: Argentina] 32070 San Juan [Province: Argentina] 32074 San Luis [Province: Argentina] 32078 Santa Cruz [Province: Argentina] 32082 Santa Fe [Province: Argentina] 32086 Santiago del Estero [Province: Argentina] 32090 Tucumán [Province: Argentina] 32094 Tierra del Fuego [Province: Argentina] 32099 Unknown [Province: Argentina] 40011 Burgenland [State: Austria] 40012 Niederösterreich [State: Austria] 40013 Wien [State: Austria] 40021 Kärnten [State: Austria] 40022 Steiermark [State: Austria] 40031 Oberösterreich [State: Austria] 40032 Salzburg [State: Austria] 40033 Tirol [State: Austria] 40034 Vorarlberg [State: Austria] 50010 Barisal [Division, Bangladesh] 50020 Chittagong [Division, Bangladesh] 50030 Dhaka [Division, Bangladesh] 50040 Khulna [Division, Bangladesh] 50050 Rajshahi, Rangpur [Division, Bangladesh] 50060 Sylhet [Division, Bangladesh] 51901 Yerevan [Province: Armenia] 51902 Aragatsotn [Province: Armenia] 51903 Ararat [Province: Armenia] 51904 Armavir [Province: Armenia] 51905 Gegharkunik [Province: Armenia] 51906 Lori [Province: Armenia] 51907 Kotayk [Province: Armenia] 51908 Shirak [Province: Armenia] 51909 Syunik [Province: Armenia] 51910 Vayots Dzor [Province: Armenia] 51911 Tavush [Province: Armenia] 68001 Chuquisaca [Department: Bolivia] 68002 La Paz [Department: Bolivia] 68003 Cochabamba [Department: Bolivia] 68004 Oruro [Department: Bolivia] 68005 Potosí [Department: Bolivia] 68006 Tarija [Department: Bolivia] 68007 Santa Cruz [Department: Bolivia] 68008 Beni [Department: Bolivia] 68009 Pando [Department: Bolivia] 76011 Rondonia [State: Brazil] 76012 Acre [State: Brazil] 76013 Amazonas [State: Brazil] 76014 Roraima [State: Brazil] 76015 Pará [State: Brazil] 76016 Amapa [State: Brazil] 76021 Maranhao [State: Brazil] 76022 Piauí [State: Brazil] 76023 Ceará [State: Brazil] 76024 Rio Grande do Norte [State: Brazil] 76025 Paraiba [State: Brazil] 76026 Pernambuco [State: Brazil] 76027 Alagoas [State: Brazil] 76028 Sergipe [State: Brazil] 76029 Bahia [State: Brazil] 76031 Minas Gerais [State: Brazil] 76032 Espírito Santo [State: Brazil] 76033 Rio de Janeiro [State: Brazil] 76035 São Paulo [State: Brazil] 76041 Parana [State: Brazil] 76042 Santa Catarina [State: Brazil] 76043 Rio Grande do Sul [State: Brazil] 76051 Mato Grosso, Mato Grosso do Sul [State: Brazil] 76052 Goiás and Tocantins [State: Brazil] 76053 Distrito Federal [State: Brazil] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk [Region: Belarus] 112007 Mogilev [Region: Belarus] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Kandal [Province: Cambodia] 116009 Koh Kong [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116012 Phnom Penh [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Rotanak Kiri [Province: Cambodia] 116017 Siem Reap and Otdar Meanchey [Province: Cambodia] 116018 Preah Sihanouk [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua , Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 152002 Antofagasta and Tarapacá [Region: Chile] 152004 Atacama and Coquimbo [Region: Chile] 152007 Del Maule [Region: Chile] 152008 Del Biobio [Region: Chile] 152009 La Araucanía [Region: Chile] 152010 Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile] 152012 Magallanes and La Antártica Chilena [Region: Chile] 152013 Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile] 152099 Unknown [Region: Chile] 156011 Beijing (municipality) [Province: China] 156012 Tianjin (municipality) [Province: China] 156013 Hebei [Province: China] 156014 Shanxi [Province: China] 156015 Inner Mongolia [Province: China] 156021 Liaoning [Province: China] 156022 Jilin [Province: China] 156023 Heilongjiang [Province: China] 156031 Shanghai (municipality) [Province: China] 156032 Jiangsu [Province: China] 156033 Zhejiang [Province: China] 156034 Anhui [Province: China] 156035 Fujian [Province: China] 156036 Jiangxi [Province: China] 156037 Shangdong [Province: China] 156041 Henan [Province: China] 156042 Hubei [Province: China] 156043 Hunan [Province: China] 156044 Guangdong and Hainan [Province: China] 156045 Guangxi [Province: China] 156051 Sichuan [Province: China] 156052 Guizhou [Province: China] 156053 Yunnan [Province: China] 156054 Tibet [Province: China] 156061 Shaanxi [Province: China] 156062 Gansu [Province: China] 156063 Qinghai [Province: China] 156064 Ningxia [Province: China] 156065 Xinjiang [Province: China] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá [Department: Colombia] 170013 Bolívar and Sucre [Department: Colombia] 170015 Boyacá and Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170025 Cundinamarca [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170047 Cesar and Magdalena [Department: Colombia] 170050 Meta and Vichada [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Norte de Santander [Department: Colombia] 170066 Caldas, Quindío, and Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 San Andrés [Department: Colombia] 170091 Amazonas [Department: Colombia] 170095 Guaviare, Vaupés, and Guainía [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 192001 Pinar del Río [Province: Cuba] 192002 La Habana [Province: Cuba] 192003 Ciudad de la Habana [Province: Cuba] 192004 Matanzas [Province: Cuba] 192005 Villa Clara [Province: Cuba] 192006 Cienfuegos [Province: Cuba] 192007 Sancti Spiritus [Province: Cuba] 192008 Ciego de Avila [Province: Cuba] 192009 Camagüey [Province: Cuba] 192010 Las Tunas [Province: Cuba] 192011 Holguín [Province: Cuba] 192012 Granma [Province: Cuba] 192013 Santiago de Cuba [Province: Cuba] 192014 Guantánamo [Province: Cuba] 192099 Isla de la Juventud [Province: Cuba] 214001 Federal district and Santo Domingo [Province: Dominican Republic] 214002 Azua [Province: Dominican Republic] 214003 Baoruco [Province: Dominican Republic] 214004 Barahona [Province: Dominican Republic] 214005 Dajabón [Province: Dominican Republic] 214006 Duarte [Province: Dominican Republic] 214007 Elías Piña [Province: Dominican Republic] 214008 El Seibo and Hato Mayor [Province: Dominican Republic] 214009 Espaillat [Province: Dominican Republic] 214010 Independencia [Province: Dominican Republic] 214011 La Altagracia and La Romana [Province: Dominican Republic] 214013 La Vega and Monseñor Nouel [Province: Dominican Republic] 214014 María Trinidad Sánchez and Samaná [Province: Dominican Republic] 214015 Monte Cristi [Province: Dominican Republic] 214016 Pedernales [Province: Dominican Republic] 214017 Peravia and San José de Ocoa [Province: Dominican Republic] 214018 Puerto Plata [Province: Dominican Republic] 214019 Hermanas Mirabal [Province: Dominican Republic] 214021 San Cristóbal and Monte Plata [Province: Dominican Republic] 214022 San Juan [Province: Dominican Republic] 214023 San Pedro de Macorís [Province: Dominican Republic] 214024 Sánchez Ramírez [Province: Dominican Republic] 214025 Santiago [Province: Dominican Republic] 214026 Santiago Rodríguez [Province: Dominican Republic] 214027 Valverde [Province: Dominican Republic] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero 218010 Imbabura, Las Golondrinas [Disputed canton] [Disputed canton] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218099 Unknown [Province: Ecuador] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromiya [Region: Ethiopia] 231005 Somali [Region: Ethiopia] 231006 Benishangul-Gumz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231017 Special region [Region: Ethiopia] 238094 Falkland Islands [Province: Argentina] 239094 South Georgia and South Sandwich Islands [Province: Argentina] 242001 Ba [Province: Fiji] 242003 Bua, Cakaudrove [Province: Fiji] 242006 Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji] 242007 Macuata [Province: Fiji] 242008 Nadroha [Province: Fiji] 242009 Naitasiri, Rewa [Province: Fiji] 242011 Ra [Province: Fiji] 242014 Serua, Namosi [Province: Fiji] 242015 Tailevu [Province: Fiji] 242099 Ships, unknown [Province: Fiji] 250001 Guadeloupe [Oversea Department, France] 250002 Martinique [Oversea Department, France] 250003 French Guyana [Oversea Department, France] 250004 Réunion Island [Oversea Department, France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250999 Unknown [Region: France] 275001 Jenin [Governorate: Palestine] 275005 Tubas [Governorate: Palestine] 275010 Tulkarm [Governorate: Palestine] 275015 Nablus [Governorate: Palestine] 275020 Qalqiliya [Governorate: Palestine] 275025 Salfit [Governorate: Palestine] 275030 Ramallah and Al-Bireh [Governorate: Palestine] 275035 Jericho [Governorate: Palestine] 275040 Jerusalem [Governorate: Palestine] 275045 Bethlehem [Governorate: Palestine] 275050 Hebron [Governorate: Palestine] 275055 North Gaza [Governorate: Palestine] 275060 Gaza [Governorate: Palestine] 275065 Deir Al-Balah [Governorate: Palestine] 275070 Khan Yunis [Governorate: Palestine] 275075 Rafah [Governorate: Palestine] 276001 Schleswig-Holstein [State: Germany] 276002 Hamburg [State: Germany] 276003 Niedersachsen [State: Germany] 276004 Bremen [State: Germany] 276005 Nordrhein-Westfalen [State: Germany] 276006 Hessen [State: Germany] 276007 Rheinland-Pfalz [State: Germany] 276008 Baden-Württemberg [State: Germany] 276009 Bayern [State: Germany] 276010 Saarland [State: Germany] 276012 Brandenburg [State: Germany] 276013 Mecklenburg-West Pomerania [State: Germany] 276014 Saxony [State: Germany] 276015 Saxony-Anhalt [State: Germany] 276016 Thuringia [State: Germany] 276017 East Berlin [State: Germany] 276018 West Berlin [State: Germany] 276099 NIU (Not in universe) [State: Germany] 288001 Western [Region: Ghana] 288002 Central [Region: Ghana] 288003 Greater Accra [Region: Ghana] 288004 Volta [Region: Ghana] 288005 Eastern [Region: Ghana] 288006 Ashanti [Region: Ghana] 288007 Brong Ahafo [Region: Ghana] 288008 Northern [Region: Ghana] 288009 Upper East [Region: Ghana] 288010 Upper West [Region: Ghana] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Aghion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 324001 Boké [Region: Guinea] 324002 Faranah [Region: Guinea] 324003 Kankan [Region: Guinea] 324004 Kindia, Labe, Mamou [Region: Guinea] 324007 N'zerekore [Region: Guinea] 324008 Conakry [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh and Uttaranchal [State: India] 356010 Bihar and Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Chhattisgarh and Madhya Pradesh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Daman and Diu and Goa [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Riau and Kepulauan Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Sumatera Selatan and Bangka Belitung [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 West Java and Banten [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 East Nusa Tenggara [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Sulawesi Utara and Gorontalo [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia] 360081 Maluku and Maluku Utara [Province: Indonesia] 360094 Papua and Papua Barat [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Khorasan-e- Razavi [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 368011 Dhok [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Al-Sulaimaniya [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Arbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 372001 Border [Region: Ireland] 372002 Dublin [Region: Ireland] 372003 Mid-East [Region: Ireland] 372004 Midlands [Region: Ireland] 372005 Mid-West [Region: Ireland] 372006 South-East [Region: Ireland] 372007 South-West [Region: Ireland] 372008 West [Region: Ireland] 376001 Jerusalem [District: Israel] 376002 Northern [District: Israel] 376003 Haifa [District: Israel] 376004 Central [District: Israel] 376005 Tel-Aviv [District: Israel] 376006 Southern [District: Israel] 376009 Judea, Samaria, and Gaza areas [District: Israel] 380001 Piemonte-Valle d'Aosta [Region: Italy] 380003 Lombardia [Region: Italy] 380004 Trentino-Alto Adige [Region: Italy] 380005 Veneto [Region: Italy] 380006 Friuli-Venezia Giulia [Region: Italy] 380007 Liguria [Region: Italy] 380008 Emilia-Romagna [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380011 Marche [Region: Italy] 380012 Lazio [Region: Italy] 380013 Abruzzo [Region: Italy] 380014 Molise [Region: Italy] 380015 Campania [Region: Italy] 380016 Puglia [Region: Italy] 380017 Basilicata [Region: Italy] 380018 Calabria [Region: Italy] 380019 Sicilia [Region: Italy] 380020 Sardegna [Region: Italy] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central Province [Province: Kenya] 404003 Coast Province [Province: Kenya] 404004 Eastern Province [Province: Kenya] 404005 North-Eastern Province [Province: Kenya] 404006 Nyanza Province [Province: Kenya] 404007 Rift Valley Province [Province: Kenya] 404008 Western Province [Province: Kenya] 417001 Gorkenesh Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul [Region: Kyrgyz Republic] 417003 Dzhalal-Abad [Region: Kyrgyz Republic] 417004 Naryn [Region: Kyrgyz Republic] 417005 Batken [Region: Kyrgyz Republic] 417006 Oshskaya [Region: Kyrgyz Republic] 417007 Talasskaya [Region: Kyrgyz Republic] 417008 Chuya [Region: Kyrgyz Republic] 430006 Bong [County: Liberia] 430009 Grand Bassa and Rivercess [County: Liberia] 430012 Grand Cape Mount [County: Liberia] 430015 Grand Gedeh and River Gee [County: Liberia] 430021 Lofa and Gbarpolu [County: Liberia] 430027 Maryland and Grand Kru [County: Liberia] 430030 Montserrado, Bomi, and Margibi [County: Liberia] 430033 Nimba [County: Liberia] 430039 Sinoe [County: Liberia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhota Kota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 458001 Johor [State: Malaysia] 458002 Kedah [State: Malaysia] 458003 Kelantan [State: Malaysia] 458004 Melaka [State: Malaysia] 458005 Negeri Sembilan [State: Malaysia] 458006 Pahang [State: Malaysia] 458007 Pulau Pinang [State: Malaysia] 458008 Perak [State: Malaysia] 458009 Perlis [State: Malaysia] 458010 Selangor and Kuala Lumpur Federal Territory [State: Malaysia] 458011 Terengganu [State: Malaysia] 458012 Sabah and Labuan Federal Territory [State: Malaysia] 458013 Sarawak [State: Malaysia] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao and Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466099 Unknown [Region: Mali] 484001 Aguascalientes [State: Meico] 484002 Baja California [State: Meico] 484003 Baja California Sur [State: Meico] 484004 Campeche [State: Meico] 484005 Coahuila [State: Meico] 484006 Colima [State: Meico] 484007 Chiapas [State: Meico] 484008 Chihuahua [State: Meico] 484009 Distrito Federal [State: Meico] 484010 Durango [State: Meico] 484011 Guanajuato [State: Meico] 484012 Guerrero [State: Meico] 484013 Hidalgo [State: Meico] 484014 Jalisco [State: Meico] 484015 México [State: Meico] 484016 Michoacán [State: Meico] 484017 Morelos [State: Meico] 484018 Nayarit [State: Meico] 484019 Nuevo León [State: Meico] 484020 Oaxaca [State: Meico] 484021 Puebla [State: Meico] 484022 Querétaro [State: Meico] 484023 Quintana Roo [State: Meico] 484024 San Luis Potosí [State: Meico] 484025 Sinaloa [State: Meico] 484026 Sonora [State: Meico] 484027 Tabasco [State: Meico] 484028 Tamaulipas [State: Meico] 484029 Tlaxcala [State: Meico] 484030 Veracruz [State: Meico] 484031 Yucatán [State: Meico] 484032 Zacatecas [State: Meico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Ölgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi and Govisumber [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Övörkhangai [Province: Mongolia] 496011 Ömnögovi [Province: Mongolia] 496012 Sükhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Töv [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khövsgöl [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 504001 Oued-Ed-Dahab-Lagouira [Region: Morocco] 504002 Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco] 504003 Guelmin-Es-Samara [Region: Morocco] 504004 Souss-Massa-Draâ [Region: Morocco] 504005 Charb-Chrarda-Béni Hssen [Region: Morocco] 504006 Chaouia-Ouardigha [Region: Morocco] 504007 Marrakech-Tensift-Al Haouz [Region: Morocco] 504008 Oriental [Region: Morocco] 504009 Grand-Casablanca [Region: Morocco] 504010 Rabat-Salé-Zemmour-Zaer [Region: Morocco] 504011 Doukala Abda [Region: Morocco] 504012 Tadla Azilal [Region: Morocco] 504013 Meknès-Tafilalet [Region: Morocco] 504014 Fès-Boulemane [Region: Morocco] 504015 Taza-Al Heiceima-Taounate [Region: Morocco] 504016 Tanger-Tétouan [Region: Morocco] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 524001 Mechi [Administrative zone: Nepal] 524002 Koshi [Administrative zone: Nepal] 524003 Sagarmatha [Administrative zone: Nepal] 524004 Janakpur [Administrative zone: Nepal] 524005 Bagmati [Administrative zone: Nepal] 524006 Narayani [Administrative zone: Nepal] 524007 Gandaki [Administrative zone: Nepal] 524008 Dhawalagiri [Administrative zone: Nepal] 524009 Lumbini [Administrative zone: Nepal] 524010 Rapti [Administrative zone: Nepal] 524011 Bheri [Administrative zone: Nepal] 524012 Karnali [Administrative zone: Nepal] 524013 Seti [Administrative zone: Nepal] 524014 Mahakali [Administrative zone: Nepal] 558005 Nueva Segovia [Department: Nicaragua] 558010 Jinotega [Department: Nicaragua] 558020 Madríz [Department: Nicaragua] 558030 Chinandega [Department: Nicaragua] 558035 Leon and Esteli [Department: Nicaragua] 558040 Matagalpa [Department: Nicaragua] 558050 Boaco [Department: Nicaragua] 558055 Managua [Department: Nicaragua] 558060 Masaya [Department: Nicaragua] 558065 Chontales [Department: Nicaragua] 558070 Granada [Department: Nicaragua] 558075 Carazo [Department: Nicaragua] 558080 Rivas [Department: Nicaragua] 558085 Río San Juan [Department: Nicaragua] 558093 Atlántico Norte and Atlántico Sur [Department: Nicaragua] 558099 Unknown [Department: Nicaragua] 566001 Abia [State: Nigeria] 566002 Adamawa [State: Nigeria] 566003 Akwa Ibom [State: Nigeria] 566004 Anambra [State: Nigeria] 566005 Bauchi [State: Nigeria] 566006 Bayelsa [State: Nigeria] 566007 Benue [State: Nigeria] 566008 Borno [State: Nigeria] 566009 Cross River [State: Nigeria] 566010 Delta [State: Nigeria] 566011 Ebonyi [State: Nigeria] 566012 Edo [State: Nigeria] 566013 Ekiti [State: Nigeria] 566014 Enugu [State: Nigeria] 566015 Gombe [State: Nigeria] 566016 Imo [State: Nigeria] 566017 Jigawa [State: Nigeria] 566018 Kaduna [State: Nigeria] 566019 Kano [State: Nigeria] 566020 Katsina [State: Nigeria] 566021 Kebbi [State: Nigeria] 566022 Kogi [State: Nigeria] 566023 Kwara [State: Nigeria] 566024 Lagos [State: Nigeria] 566025 Nasarawa [State: Nigeria] 566026 Niger [State: Nigeria] 566027 Ogun [State: Nigeria] 566028 Ondo [State: Nigeria] 566029 Osun [State: Nigeria] 566030 Oyo [State: Nigeria] 566031 Plateau [State: Nigeria] 566032 Rivers [State: Nigeria] 566033 Sokoto [State: Nigeria] 566034 Taraba [State: Nigeria] 566035 Yobe [State: Nigeria] 566036 Zamfara [State: Nigeria] 566037 Federal Capital Territory Abuja [State: Nigeria] 566099 Unknown [State: Nigeria] 586001 North-West Frontier Province [Province: Pakistan] 586002 Fata [Province: Pakistan] 586003 Punjab, Islamabad [Province: Pakistan] 586004 Sind [Province: Pakistan] 586005 Baluchistan [Province: Pakistan] 586007 Northern areas [Province: Pakistan] 586008 Kashmir [Province: Pakistan] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 600000 Asunción [Department: Paraguay] 600001 Concepción [Department: Paraguay] 600002 San Pedro [Department: Paraguay] 600007 Itapúa [Department: Paraguay] 600008 Misiones and Ñeembucú [Department: Paraguay] 600009 Guairá, Caazapá, and Paraguarí [Department: Paraguay] 600010 Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay] 600011 Central [Department: Paraguay] 600013 Amambay [Department: Paraguay] 600015 Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay] 600099 Unknown [Department: Paraguay] 604001 Amazonas [Region: Peru] 604002 Ancash [Region: Peru] 604003 Apurímac [Region: Peru] 604004 Arequipa [Region: Peru] 604005 Ayacucho [Region: Peru] 604006 Cajamarca [Region: Peru] 604007 Callao [Region: Peru] 604008 Cusco [Region: Peru] 604009 Huancavelica [Region: Peru] 604010 Huánuco [Region: Peru] 604011 Ica [Region: Peru] 604012 Junín [Region: Peru] 604013 La Libertad [Region: Peru] 604014 Lambayeque [Region: Peru] 604015 Lima [Region: Peru] 604016 Loreto [Region: Peru] 604017 Madre de Dios [Region: Peru] 604018 Moquegua [Region: Peru] 604019 Pasco [Region: Peru] 604020 Piura [Region: Peru] 604021 Puno [Region: Peru] 604022 San Martín [Region: Peru] 604023 Tacna [Region: Peru] 604024 Tumbes [Region: Peru] 604025 Ucayali [Region: Peru] 608001 Ilocos [Region: Philippines] 608002 Cagayan Valley [Region: Philippines] 608003 Central Luzon [Region: Philippines] 608004 Southern Tagalog [Region: Philippines] 608005 Bicol [Region: Philippines] 608006 Western Visayas [Region: Philippines] 608007 Central Visayas [Region: Philippines] 608008 Eastern Visayas [Region: Philippines] 608009 Western Mindanao [Region: Philippines] 608011 Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines] 608012 Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines] 608013 National Capital Region [Region: Philippines] 608014 Cordillera Administrative Region [Region: Philippines] 620111 Minho-Lima [Subregion: Portugal] 620112 Cávado [Subregion: Portugal] 620113 Ave [Subregion: Portugal] 620114 Grande Porto [Subregion: Portugal] 620115 Tâmega [Subregion: Portugal] 620116 Entre Douro e Vouga [Subregion: Portugal] 620117 Douro [Subregion: Portugal] 620118 Alto Trás-os-Montes [Subregion: Portugal] 620150 Algarve [Subregion: Portugal] 620161 Baixo Vouga [Subregion: Portugal] 620162 Baixo Mondego [Subregion: Portugal] 620163 Pinhal Litoral [Subregion: Portugal] 620165 Dão-Lafões [Subregion: Portugal] 620166 Oeste [Subregion: Portugal] 620167 Médio Tejo [Subregion: Portugal] 620169 Other Center [Subregion: Portugal] 620171 Grande Lisboa [Subregion: Portugal] 620172 Península de Setúbal [Subregion: Portugal] 620185 Lezíria do Tejo [Subregion: Portugal] 620189 Other Alentejo [Subregion: Portugal] 620200 Região Autónoma dos Açores [Subregion: Portugal] 620300 Região Autónoma da Madeira [Subregion: Portugal] 630101 G7201001 [PUMA: Puerto Rico] 630104 G7201002, G7201003, G7201004 [PUMA: Puerto Rico] 630110 G7201100 [PUMA: Puerto Rico] 630180 G7201800 [PUMA: Puerto Rico] 630200 G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico] 630250 G7202500 [PUMA: Puerto Rico] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dimbovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 646001 Kigali City [Province: Rwanda] 646002 Kigali Ngali [Province: Rwanda] 646004 Gitarama [Province: Rwanda] 646005 Butare [Province: Rwanda] 646006 Gikongoro [Province: Rwanda] 646007 Cyangugu [Province: Rwanda] 646008 Kibuye [Province: Rwanda] 646009 Gisenyi [Province: Rwanda] 646010 Ruhengeri [Province: Rwanda] 646012 Byumba, Kibungo and Umutara [Province: Rwanda] 686001 Dakar [Region: Senegal] 686002 Diourbel [Region: Senegal] 686003 Fatick [Region: Senegal] 686004 Kaolack [Region: Senegal] 686005 Kolda [Region: Senegal] 686008 Louga, Saint Louis, Matam [Region: Senegal] 686009 Tambacounda [Region: Senegal] 686010 Thiès [Region: Senegal] 686011 Ziguinchor [Region: Senegal] 694011 Kailahun [District: Sierra Leone] 694012 Kenema [District: Sierra Leone] 694013 Kono [District: Sierra Leone] 694021 Bombali [District: Sierra Leone] 694022 Kambia [District: Sierra Leone] 694023 Koinadugu [District: Sierra Leone] 694024 Port Loko [District: Sierra Leone] 694025 Tonkolili [District: Sierra Leone] 694031 Bo [District: Sierra Leone] 694032 Bonthe [District: Sierra Leone] 694033 Moyamba [District: Sierra Leone] 694034 Pujehun [District: Sierra Leone] 694041 Western - rural [District: Sierra Leone] 694042 Western - urban [District: Sierra Leone] 704001 Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam] 704002 Ha Giang and Tuyen Quang [Province: Vietnam] 704004 Cao Bang [Province: Vietnam] 704014 Son La [Province: Vietnam] 704015 Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam] 704019 Bac Kan and Thai Nguyen [Province: Vietnam] 704020 Lang Son [Province: Vietnam] 704022 Quang Ninh [Province: Vietnam] 704024 Bac Giang, and Bac Ninh [Province: Vietnam] 704030 Hai Duong and Hung Yen [Province: Vietnam] 704031 Hai Phong [Province: Vietnam] 704034 Thai Binh [Province: Vietnam] 704038 Thanh Hoa [Province: Vietnam] 704040 Nghe An and Ha Tinh [Province: Vietnam] 704046 Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam] 704049 Da Nang and Quang Nam [Province: Vietnam] 704051 Binh Dinh and Quang Ngai [Province: Vietnam] 704054 Phu Yen and Khanh Hoa [Province: Vietnam] 704060 Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam] 704062 Gia Lai and Kon Tum [Province: Vietnam] 704066 Dak Lak and Dak Nong [Province: Vietnam] 704068 Lam Dong [Province: Vietnam] 704072 Tay Ninh [Province: Vietnam] 704074 Binh Duong and Binh Phuoc [Province: Vietnam] 704075 Dong Nai and Ba Ria - Vung Tau [Province: Vietnam] 704079 Ho Chi Minh City [Province: Vietnam] 704080 Long An [Province: Vietnam] 704082 Tien Giang [Province: Vietnam] 704083 Ben Tre [Province: Vietnam] 704086 Vinh Long and Tra Vinh [Province: Vietnam] 704087 Dong Thap [Province: Vietnam] 704089 An Giang [Province: Vietnam] 704091 Kien Giang [Province: Vietnam] 704094 Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam] 704096 Bac Lieu and Ca Mau [Province: Vietnam] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705099 Unknown [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710999 Unknown [Province: South Africa] 724011 Galicia [Communities and Autonomous Cities: Spain] 724012 Principado de Asturias [Communities and Autonomous Cities: Spain] 724013 Cantabria [Communities and Autonomous Cities: Spain] 724021 País Vasco [Communities and Autonomous Cities: Spain] 724022 Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain] 724023 La Rioja [Communities and Autonomous Cities: Spain] 724024 Aragón [Communities and Autonomous Cities: Spain] 724030 Comunidad de Madrid [Communities and Autonomous Cities: Spain] 724041 Castilla y León [Communities and Autonomous Cities: Spain] 724042 Castilla-La Mancha [Communities and Autonomous Cities: Spain] 724043 Extremadura [Communities and Autonomous Cities: Spain] 724051 Cataluña [Communities and Autonomous Cities: Spain] 724052 Comunidad Valenciana [Communities and Autonomous Cities: Spain] 724053 Illes Balears [Communities and Autonomous Cities: Spain] 724061 Andalucía [Communities and Autonomous Cities: Spain] 724062 Región de Murcia [Communities and Autonomous Cities: Spain] 724063 Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain] 724064 Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain] 724070 Canarias [Communities and Autonomous Cities: Spain] 724099 Unknown [Communities and Autonomous Cities: Spain] 728071 Upper Nile [State: South Sudan] 728072 Jonglei [State: South Sudan] 728073 Unity [State: South Sudan] 728081 Warrap [State: South Sudan] 728082 Northern Bahr El Ghazal [State: South Sudan] 728083 Western Bahr El Ghazal [State: South Sudan] 728084 Lakes [State: South Sudan] 728091 Western Equatoria [State: South Sudan] 728092 Central Equatoria [State: South Sudan] 728093 Eastern Equatoria [State: South Sudan] 729011 Northern [State: Sudan] 729012 Nahr El Nil [State: Sudan] 729021 Red Sea [State: Sudan] 729022 Kassala [State: Sudan] 729023 Al Gedarif [State: Sudan] 729031 Khartoum [State: Sudan] 729041 Al Gezira [State: Sudan] 729042 White Nile [State: Sudan] 729043 Sinnar [State: Sudan] 729044 Blue Nile [State: Sudan] 729051 North Kordofan [State: Sudan] 729052 South Kordofan [State: Sudan] 729061 North Darfur [State: Sudan] 729062 West Darfur [State: Sudan] 729063 South Darfur [State: Sudan] 756001 Zurich [Canton: Switzerland] 756002 Bern [Canton: Switzerland] 756003 Luzern (Lucerne) [Canton: Switzerland] 756004 Uri [Canton: Switzerland] 756005 Schwyz [Canton: Switzerland] 756006 Obwalden (Obwald) [Canton: Switzerland] 756007 Nidwalden (Nidwald) [Canton: Switzerland] 756008 Glarus [Canton: Switzerland] 756009 Zug [Canton: Switzerland] 756010 Fribourg [Canton: Switzerland] 756011 Solothurn [Canton: Switzerland] 756012 Basel-Stadt (Basel-City) [Canton: Switzerland] 756013 Basel-Landschaft (Basel-Country) [Canton: Switzerland] 756014 Schaffhausen [Canton: Switzerland] 756015 Outer and Inner Rhodes [Canton: Switzerland] 756017 St. Gallen (St. Gall) [Canton: Switzerland] 756018 Graubundun (Grisons) [Canton: Switzerland] 756019 Aargau (Argovia) [Canton: Switzerland] 756020 Thurgau (Thurgovia) [Canton: Switzerland] 756021 Ticino [Canton: Switzerland] 756022 Vaud [Canton: Switzerland] 756023 Valais [Canton: Switzerland] 756024 Neuchatel [Canton: Switzerland] 756025 Geneva [Canton: Switzerland] 756026 Jura [Canton: Switzerland] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Prachin Buri and Sa Kaeo [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764041 Udon Thani and Nong Bua Lam Phu [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom and Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Chiang Rai and Phayao [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764081 Krabi [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Surat Thani [Province: Thailand] 764085 Ranong [Province: Thailand] 764086 Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 792001 Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey] 792002 Adiyaman [Province: Turkey] 792003 Afyon [Province: Turkey] 792004 Agri [Province: Turkey] 792005 Amasya [Province: Turkey] 792006 Ankara and Kirikkale [Province: Turkey] 792007 Antalya [Province: Turkey] 792008 Artvin [Province: Turkey] 792009 Aydin [Province: Turkey] 792010 Balikesir [Province: Turkey] 792011 Bilecik [Province: Turkey] 792012 Bingöl [Province: Turkey] 792013 Bitlis [Province: Turkey] 792014 Bolu and Düzce [Province: Turkey] 792015 Burdur [Province: Turkey] 792017 Çanakkale [Province: Turkey] 792019 Çorum [Province: Turkey] 792020 Denizli [Province: Turkey] 792021 Diyarbakir [Province: Turkey] 792022 Edirne [Province: Turkey] 792023 Elazig [Province: Turkey] 792024 Erzincan [Province: Turkey] 792025 Erzurum [Province: Turkey] 792026 Eskisehir [Province: Turkey] 792028 Giresun [Province: Turkey] 792029 Gümüshane and Bayburt [Province: Turkey] 792031 Hatay [Province: Turkey] 792032 Isparta [Province: Turkey] 792033 Mersin (içel) [Province: Turkey] 792034 Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey] 792035 Izmir [Province: Turkey] 792036 Kars, Ardahan and Igdir [Province: Turkey] 792037 Kastamonu [Province: Turkey] 792038 Kayseri [Province: Turkey] 792039 Kirklareli [Province: Turkey] 792040 Kirsehir [Province: Turkey] 792042 Konya and Karaman [Province: Turkey] 792043 Kütahya [Province: Turkey] 792044 Malatya [Province: Turkey] 792045 Manisa [Province: Turkey] 792046 Kahramanmaras [Province: Turkey] 792047 Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey] 792048 Mugla [Province: Turkey] 792049 Mus [Province: Turkey] 792050 Nevsehir [Province: Turkey] 792051 Nigde and Aksaray [Province: Turkey] 792052 Ordu [Province: Turkey] 792053 Rize [Province: Turkey] 792054 Sakarya [Province: Turkey] 792055 Samsun [Province: Turkey] 792057 Sinop [Province: Turkey] 792058 Sivas [Province: Turkey] 792059 Tekirdag [Province: Turkey] 792060 Tokat [Province: Turkey] 792061 Trabzon [Province: Turkey] 792062 Tunceli [Province: Turkey] 792063 Sanliurfa [Province: Turkey] 792064 Usak [Province: Turkey] 792065 Van [Province: Turkey] 792066 Yozgat [Province: Turkey] 792067 Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga [District: Uganda] 800104 Luwero and Nakasongola [District: Uganda] 800105 Masaka and Sembabule [District: Uganda] 800107 Mubende [District: Uganda] 800108 Mukono and Kayunga [District: Uganda] 800110 Rakai [District: Uganda] 800113 Mpigi and Wakiso [District: Uganda] 800203 Iganga, Buguri, and Mayuge [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli [District: Uganda] 800206 Kapchorwa [District: Uganda] 800208 Kumi [District: Uganda] 800209 Mbale and Sironko [District: Uganda] 800210 Pallisa [District: Uganda] 800211 Soroti, Katakwi, and Kaberamaido [District: Uganda] 800212 Busia and Tororo [District: Uganda] 800301 Moyo and Adjumani [District: Uganda] 800302 Apac [District: Uganda] 800303 Arua and Yumbe [District: Uganda] 800304 Gulu [District: Uganda] 800306 Kotido [District: Uganda] 800307 Lira [District: Uganda] 800308 Moroto and Nakapiripirit [District: Uganda] 800310 Nebbi [District: Uganda] 800312 Kitgum and Pader [District: Uganda] 800401 Bundibugyo [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale [District: Uganda] 800405 Kabarole, Kamwenge, and Kyenjojo [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi [District: Uganda] 800410 Bushenyi, Mbarara, and Ntungamo [District: Uganda] 800412 Rukungiri and Kanungu [District: Uganda] 800999 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv [Region: Ukraine] 804085 Sevastopol [Region: Ukraine] 818001 Cairo [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Damietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818017 Menoufia [Governorate: Egypt] 818018 Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818021 Giza [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818029 Luxor [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 826011 North East [Region: United Kingdom] 826013 North West [Region: United Kingdom] 826014 Yorkshire and the Humber [Region: United Kingdom] 826021 East Midlands [Region: United Kingdom] 826022 West Midlands [Region: United Kingdom] 826031 East of England [Region: United Kingdom] 826032 South East and London [Region: United Kingdom] 826040 South West [Region: United Kingdom] 826060 Scotland [Region: United Kingdom] 826070 Wales [Region: United Kingdom] 826080 Northern Ireland [Region: United Kingdom] 834001 Dodoma [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvumba [Region: Tanzania] 834011 Iringa [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834017 Shinyanga [Region: Tanzania] 834018 Kagera [Region: Tanzania] 834019 Mwanza [Region: Tanzania] 834020 Mara [Region: Tanzania] 834021 Arusha and Manyara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 840001 Alabama [State: U.S.] 840002 Alaska [State: U.S.] 840004 Arizona [State: U.S.] 840005 Arkansas [State: U.S.] 840006 California [State: U.S.] 840008 Colorado [State: U.S.] 840009 Connecticut [State: U.S.] 840010 Delaware [State: U.S.] 840011 District of Columbia [State: U.S.] 840012 Florida [State: U.S.] 840013 Georgia [State: U.S.] 840015 Hawaii [State: U.S.] 840016 Idaho [State: U.S.] 840017 Illinois [State: U.S.] 840018 Indiana [State: U.S.] 840019 Iowa [State: U.S.] 840020 Kansas [State: U.S.] 840021 Kentucky [State: U.S.] 840022 Louisiana [State: U.S.] 840023 Maine [State: U.S.] 840024 Maryland [State: U.S.] 840025 Massachusetts [State: U.S.] 840026 Michigan [State: U.S.] 840027 Minnesota [State: U.S.] 840028 Mississippi [State: U.S.] 840029 Missouri [State: U.S.] 840030 Montana [State: U.S.] 840031 Nebraska [State: U.S.] 840032 Nevada [State: U.S.] 840033 New Hampshire [State: U.S.] 840034 New Jersey [State: U.S.] 840035 New Mexico [State: U.S.] 840036 New York [State: U.S.] 840037 North Carolina [State: U.S.] 840038 North Dakota [State: U.S.] 840039 Ohio [State: U.S.] 840040 Oklahoma [State: U.S.] 840041 Oregon [State: U.S.] 840042 Pennsylvania [State: U.S.] 840044 Rhode Island [State: U.S.] 840045 South Carolina [State: U.S.] 840046 South Dakota [State: U.S.] 840047 Tennessee [State: U.S.] 840048 Texas [State: U.S.] 840049 Utah [State: U.S.] 840050 Vermont [State: U.S.] 840051 Virginia [State: U.S.] 840053 Washington [State: U.S.] 840054 West Virginia [State: U.S.] 840055 Wisconsin [State: U.S.] 840056 Wyoming [State: U.S.] 840099 State not identified [State: U.S.] 854001 Boucle du Mouhoun [Region: Burkina Faso] 854002 Cascades [Region: Burkina Faso] 854003 Centre [Region: Burkina Faso] 854004 Centre-Est [Region: Burkina Faso] 854005 Centre-Nord [Region: Burkina Faso] 854006 Centre-Ouest [Region: Burkina Faso] 854007 Centre-Sud [Region: Burkina Faso] 854008 Est [Region: Burkina Faso] 854009 Hauts-Bassins [Region: Burkina Faso] 854010 Nord [Region: Burkina Faso] 854011 Plateau Central [Region: Burkina Faso] 854012 Sahel [Region: Burkina Faso] 854013 Sud-Ouest [Region: Burkina Faso] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 894001 Central [Province: Zambia] 894002 Copperbelt [Province: Zambia] 894003 Eastern, Muchinga, Northern [Province: Zambia] 894004 Luapula [Province: Zambia] 894005 Lusaka [Province: Zambia] 894008 North Western [Province: Zambia] 894009 Southern [Province: Zambia] 894010 Western [Province: Zambia] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. Geography: Global Variables -- HOUSEHOLD IPUMS Dwelling number Dwelling number Dwelling number Dwelling number Dwelling number Dwelling number All records This variable indicates the dwelling number. Technical Household Variables -- HOUSEHOLD IPUMS Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household All records 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 19 19 20 20 This variable indicates the number of persons in the household. Technical Household Variables -- HOUSEHOLD IPUMS Household serial number Household serial number Household serial number Household serial number Household serial number Household serial number All households This variable indicates the household serial number. Technical Household Variables -- HOUSEHOLD IPUMS Number of person records following Number of person records following Number of person records following Number of person records following Number of person records following Number of person records following All households Vacant household 1 1 person record 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 19 19 20 20 This variable indicates the number of person records following. Technical Household Variables -- HOUSEHOLD IPUMS Subsample number Subsample number Subsample number Subsample number Subsample number Subsample number All households First 1% subsample 1 2nd 1% subsample 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 This variable indicates the subsample number. Technical Household Variables -- HOUSEHOLD IPUMS Household weight (integer) Household weight (integer) Household weight (integer) Household weight (integer) Household weight (integer) Household weight (integer) All households This variable indicates the household weight (integral). Technical Household Variables -- HOUSEHOLD IPUMS Census region and division Census region and division Census region and division Census region and division Census region and division Census region and division All households 11 New England Division 12 Middle Atlantic Division 21 East North Central Division 22 West North Central Division 31 South Atlantic Division 32 East South Central Division 33 West South Central Division 41 Mountain Division 42 Pacific Division This variable indicates the Census region and division. Geography: M-Z Variables -- HOUSEHOLD IPUMS State (ICPSR code) State (ICPSR code) State (ICPSR code) State (ICPSR code) State (ICPSR code) State (ICPSR code) All households 1 Connecticut 2 Maine 3 Massachusetts 4 New Hampshire 5 Rhode Island 6 Vermont 11 Delaware 12 New Jersey 13 New York 14 Pennsylvania 21 Illinois 22 Indiana 23 Michigan 24 Ohio 25 Wisconsin 31 Iowa 32 Kansas 33 Minnesota 34 Missouri 35 Nebraska 36 North Dakota 37 South Dakota 40 Virginia 41 Alabama 42 Arkansas 43 Florida 44 Georgia 45 Louisiana 46 Mississippi 47 North Carolina 48 South Carolina 49 Texas 51 Kentucky 52 Maryland 53 Oklahoma 54 Tennessee 56 West Virginia 61 Arizona 62 Colorado 63 Idaho 64 Montana 65 Nevada 66 New Mexico 67 Utah 68 Wyoming 71 California 72 Oregon 73 Washington 81 Alaska 82 Hawaii 98 District of Columbia This variable indicates the State (ICPSR code). Geography: M-Z Variables -- HOUSEHOLD IPUMS State (FIPS code) State (FIPS code) State (FIPS code) State (FIPS code) State (FIPS code) State (FIPS code) All households 1 Alabama 2 Alaska 4 Arizona 5 Arkansas 6 California 8 Colorado 9 Connecticut 10 Delaware 11 District of Columbia 12 Florida 13 Georgia 15 Hawaii 16 Idaho 17 Illinois 18 Indiana 19 Iowa 20 Kansas 21 Kentucky 22 Louisiana 23 Maine 24 Maryland 25 Massachusetts 26 Michigan 27 Minnesota 28 Mississippi 29 Missouri 30 Montana 31 Nebraska 32 Nevada 33 New Hampshire 34 New Jersey 35 New Mexico 36 New York 37 North Carolina 38 North Dakota 39 Ohio 40 Oklahoma 41 Oregon 42 Pennsylvania 44 Rhode Island 45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah 50 Vermont 51 Virginia 53 Washington 54 West Virginia 55 Wisconsin 56 Wyoming This variable indicates the state (FIPS code). Geography: M-Z Variables -- HOUSEHOLD IPUMS Public use microdata area Public use microdata area Public use microdata area Public use microdata area Public use microdata area Public use microdata area All households This variable indicates the public use microdata area. Geography: M-Z Variables -- HOUSEHOLD IPUMS Metropolitan status Metropolitan status Metropolitan status Metropolitan status Metropolitan status Metropolitan status All households Not identifiable 1 Not in metro area 2 Central city 3 Outside central city 4 Central city status unknown This variable indicates the metropolitan status. Geography: M-Z Variables -- HOUSEHOLD IPUMS Metropolitan area Metropolitan area Metropolitan area Metropolitan area Metropolitan area Metropolitan area Households in a metropolitan area NIU (not in universe) 40 Abilene, TX 80 Akron, OH 120 Albany, GA 160 Albany-Schenectady-Troy, NY 200 Albuquerque, NM 220 Alexandria, LA 240 Allentown-Bethlehem-Easton, PA/NJ 280 Altoona, PA 320 Amarillo, TX 380 Anchorage, AK 440 Ann Arbor, MI 450 Anniston, AL 460 Appleton-Oshkosh-Neenah, WI 480 Asheville, NC 500 Athens, GA 520 Atlanta, GA 560 Atlantic City, NJ 580 Auburn-Opelika, AL 600 Augusta-Aiken, GA-SC 640 Austin, TX 680 Bakersfield, CA 720 Baltimore, MD 740 Barnstable-Yarmouth, MA 760 Baton Rouge, LA 840 Beaumont-Port Arthur-Orange, TX 860 Bellingham, WA 870 Benton Harbor, MI 880 Billings, MT 920 Biloxi-Gulfport, MS 960 Binghamton, NY 1000 Birmingham, AL 1020 Bloomington, IN 1040 Bloomington-Normal, IL 1080 Boise City, ID 1120 Boston, MA 1121 Lawrence-Haverhill, MA/NH 1122 Lowell, MA/NH 1150 Bremerton, WA 1160 Bridgeport, CT 1200 Brockton, MA 1240 Brownsville - Harlingen-San Benito, TX 1260 Bryan-College Station, TX 1280 Buffalo-Niagara Falls, NY 1320 Canton, OH 1360 Cedar Rapids, IA 1400 Champaign-Urbana-Rantoul, IL 1440 Charleston-N.Charleston, SC 1520 Charlotte-Gastonia-Rock Hill, SC 1540 Charlottesville, VA 1560 Chattanooga, TN/GA 1600 Chicago-Gary-Lake IL 1602 Gary-Hammond-East Chicago, IN 1620 Chico, CA 1640 Cincinnati, OH/KY/IN 1660 Clarksville- Hopkinsville, TN/KY 1680 Cleveland, OH 1720 Colorado Springs, CO 1740 Columbia, MO 1760 Columbia, SC 1800 Columbus, GA/AL 1840 Columbus, OH 1880 Corpus Christi, TX 1920 Dallas-Fort Worth, TX 1921 Fort Worth-Arlington, TX 1930 Danbury, CT 1950 Danville, VA 1960 Davenport, IA-Rock Island-Moline, IL 2000 Dayton-Springfield, OH 2020 Daytona Beach, FL 2030 Decatur, AL 2040 Decatur, IL 2080 Denver-Boulder-Longmont, CO 2081 Boulder-Longmont, CO 2120 Des Moines, IA 2160 Detroit, MI 2180 Dothan, AL 2190 Dover, DE 2240 Duluth-Superior, MN/WI 2281 Dutchess County, NY 2290 Eau Claire, WI 2310 El Paso, TX 2320 Elkhart-Goshen, IN 2360 Erie, PA 2400 Eugene-Springfield, OR 2440 Evansville, IN/KY 2520 Fargo-Moorhead, ND/MN 2560 Fayetteville, NC 2580 Fayetteville-Springdale, AR 2600 Fitchburg-Leominster, MA 2620 Flagstaff, AZ 2640 Flint, MI 2650 Florence, AL 2670 Fort Collins-Loveland, CO 2680 Fort Lauderdale-Hollywood-Pompano Beach, FL 2700 Fort Myers-Cape Coral, FL 2710 Fort Pierce, FL 2720 Fort Smith, AR/OK 2750 Fort Walton Beach, FL 2760 Fort Wayne, IN 2840 Fresno, CA 2880 Gadsden, AL 2900 Gainesville, FL 2920 Galveston-Texas City, TX 2970 Glens Falls, NY 2980 Goldsboro, NC 3000 Grand Rapids, MI 3010 Grand Junction, CO 3060 Greeley, CO 3080 Green Bay, WI 3120 Greensboro-Winston Salem-High Point, NC 3150 Greenville, NC 3160 Greenville-Spartenburg-Anderson, SC 3180 Hagerstown, MD 3200 Hamilton-Middleton, OH 3240 Harrisburg-Lebanon-Carlisle, PA 3280 Hartford-Bristol-Middletown-New Britian, CT 3290 Hickory-Morgantown, NC 3300 Hattiesburg, MS 3320 Honolulu, HI 3350 Houma-Thibodoux, LA 3360 Houston-Brazoria, TX 3361 Brazoria, TX 3440 Huntsville, AL 3480 Indianapolis, IN 3500 Iowa City, IA 3520 Jackson, MI 3560 Jackson, MS 3580 Jackson, TN 3590 Jacksonville, FL 3600 Jacksonville, NC 3610 Jamestown-Dunkirk, NY 3620 Janesville-Beloit, WI 3660 Johnson City-Kingsport-Bristol, TN/VA 3680 Johnstown, PA 3710 Joplin, MO 3720 Kalamazoo-Portage, MI 3740 Kankakee, IL 3760 Kansas City, MO-KS 3800 Kenosha, WI 3810 Killeen-Temple, TX 3840 Knoxville, TN 3850 Kokomo, IN 3870 LaCrosse, WI 3880 Lafayette, LA 3920 Lafayette-W. Lafayette, IN 3960 Lake Charles, LA 3980 Lakeland-Winterhaven, FL 4000 Lancaster, PA 4040 Lansing-E. Lansing, MI 4080 Laredo, TX 4100 Las Cruces, NM 4120 Las Vegas, NV 4280 Lexington-Fayette, KY 4320 Lima, OH 4360 Lincoln, NE 4400 Little Rock-North Little Rock, AR 4420 Longview-Marshall, TX 4480 Los Angeles-Long Beach, CA 4482 Orange County, CA 4520 Louisville, KY/IN 4600 Lubbock, TX 4640 Lynchburg, VA 4680 Macon-Warner Robins, GA 4720 Madison, WI 4760 Manchester, NH 4800 Mansfield, OH 4880 McAllen-Edinburg-Pharr-Mission, TX 4890 Medford, OR 4900 Melbourne-Titusville-Cocoa-Palm Bay, FL 4920 Memphis, TN/AR/MS 4940 Merced, CA 5000 Miami-Hialeah, FL 5080 Milwaukee, WI 5120 Minneapolis-St. Paul, MN 5160 Mobile, AL 5170 Modesto, CA 5190 Monmouth-Ocean, NJ 5200 Monroe, LA 5240 Montgomery, AL 5280 Muncie, IN 5330 Myrtle Beach, SC 5340 Naples, FL 5350 Nashua, NH 5360 Nashville, TN 5400 New Bedford, MA 5480 New Haven-Meriden, CT 5560 New Orleans, LA 5600 New York-Northeastern NJ 5601 Nassau Co., NY 5602 Bergen-Passaic, NJ 5603 Jersey City, NJ 5604 Middlesex-Somerset-Hunterdon, NJ 5605 Newark, NJ 5660 Newburgh-Middletown, NY 5720 Norfolk-VA Beach-Newport News, VA 5790 Ocala, FL 5800 Odessa, TX 5880 Oklahoma City, OK 5910 Olympia, WA 5920 Omaha, NE/IA 5960 Orlando, FL 6010 Panama City, FL 6080 Pensacola, FL 6120 Peoria, IL 6160 Philadelphia, PA/NJ 6200 Phoenix, AZ 6280 Pittsburgh-Beaver Valley, PA 6400 Portland, ME 6440 Portland-Vancouver, OR 6480 Providence-Fall River-Pawtuckett, MA 6520 Provo-Orem, UT 6560 Pueblo, CO 6580 Punta Gorda, FL 6600 Racine, WI 6640 Raleigh-Durham, NC 6680 Reading, PA 6690 Redding, CA 6720 Reno, NV 6740 Richland-Kennewick-Pasco, WA 6760 Richmond-Petersburg, VA 6780 Riverside-San Bernardino,CA 6800 Roanoke, VA 6820 Rochester, MN 6840 Rochester, NY 6880 Rockford, IL 6895 Rocky Mount, NC 6920 Sacramento, CA 6960 Saginaw-Bay City-Midland, MI 6980 St. Cloud, MN 7000 St. Joseph, MO 7040 St. Louis, MO-IL 7080 Salem, OR 7120 Salinas-Sea Side-Monterey, CA 7160 Salt Lake City-Ogden, UT 7240 San Antonio, TX 7320 San Diego, CA 7360 San Francisco-Oakland-Vallejo, CA 7361 Oakland, CA 7362 Vallejo-Fairfield-Napa, CA 7400 San Jose, CA 7460 San Luis Obispo-Atascad-P Robles, CA 7470 Santa Barbara-Santa Maria-Lompoc, CA 7480 Santa Cruz, CA 7490 Santa Fe, NM 7500 Santa Rosa-Petaluma, CA 7510 Sarasota, FL 7520 Savannah, GA 7560 Scranton-Wilkes-Barre, PA 7600 Seattle-Everett, WA 7610 Sharon, PA 7620 Sheboygan, WI 7680 Shreveport, LA 7720 Sioux City, IA/NE 7760 Sioux Falls, SD 7800 South Bend-Mishawaka, IN 7840 Spokane, WA 7880 Springfield, IL 7920 Springfield, MO 8000 Springfield-Holyoke-Chicopee, MA 8040 Stamford, CT 8050 State College, PA 8120 Stockton, CA 8140 Sumter, SC 8160 Syracuse, NY 8200 Tacoma, WA 8240 Tallahassee, FL 8280 Tampa-St. Petersburg-Clearwater, FL 8320 Terre Haute, IN 8400 Toledo, OH/MI 8440 Topeka, KS 8480 Trenton, NJ 8520 Tucson, AZ 8560 Tulsa, OK 8600 Tuscaloosa, AL 8640 Tyler, TX 8680 Utica-Rome, NY 8730 Ventura-Oxnard-Simi Valley, CA 8760 Vineland-Milville-Bridgetown, NJ 8780 Visalia-Tulare -Porterville, CA 8800 Waco, TX 8840 Washington, DC/MD/VA 8880 Waterbury, CT 8920 Waterloo-Cedar Falls, IA 8940 Wausau, WI 8960 West Palm Beach-Boca Raton -Delray Beach, FL 9040 Wichita, KS 9080 Wichita Falls, TX 9140 Williamsport, PA 9160 Wilmington, DE/NJ/MD 9200 Wilmington, NC 9240 Worcester, MA 9260 Yakima, WA 9270 Yolo, CA 9280 York, PA 9320 Youngstown-Warren, OH-PA 9340 Yuba City, CA 9360 Yuma, AZ 9999 Unknown This variable indicates the metropolitan area. Geography: M-Z Variables -- HOUSEHOLD IPUMS City City City City City City All households Not in identifiable city (or size group) 10 Akron, OH 90 Alexandria, VA 130 Allentown, PA 190 Anaheim, CA 210 Anchorage, AK 270 Ann Arbor, MI 310 Arlington, VA 510 Bakersfield, CA 530 Baltimore, MD 590 Baton Rouge, LA 670 Beaumont, TX 680 Bellevue, WA 800 Boise, ID 810 Boston, MA 830 Bridgeport, CT 880 Brownsville, TX 890 Buffalo, NY 920 Burbank, CA 930 Cambridge, MA 1000 Cape Coral, FL 1090 Charlotte, NC 1110 Chattanooga, TN 1150 Chesapeake, VA 1190 Chicago, IL 1290 Cincinnati, OH 1330 Cleveland, OH 1410 Columbia, SC 1430 Columbus, GA 1500 Corona, CA 1520 Corpus Christi, TX 1540 Costa Mesa, CA 1670 Dayton, OH 1730 Des Moines, IA 1750 Detroit, MI 1800 Downey, CA 1990 El Monte, CA 2050 Elizabeth, NJ 2090 Erie, PA 2170 Evansville, IN 2240 Fayetteville, NC 2260 Fontana, CA 2270 Flint, MI 2300 Fort Collins, CO 2330 Fort Wayne, IN 2370 Fresno, CA 2390 Fullerton, CA 2430 Garden Grove, CA 2470 Gary, IN 2490 Glendale, CA 2530 Grand Rapids, MI 2550 Green Bay, WI 2570 Greensboro, NC 2650 Hampton, VA 2710 Hartford, CT 2930 Huntington Beach, CA 2950 Huntsville, AL 2970 Independence, MO 3010 Inglewood, CA 3020 Irvine, CA 3030 Irving, TX 3090 Jackson, MS 3150 Jersey City, NJ 3260 Kansas City, MO 3330 Knoxville, TN 3390 Lafayette, LA 3440 Lancaster, CA 3470 Lansing, MI 3590 Lexington-Fayette, KY 3650 Little Rock, AR 3670 Livonia, MI 3690 Long Beach, CA 3730 Los Angeles, CA 3770 Lowell, MA 3870 Madison, WI 3910 Manchester, NH 3960 McAllen, TX 4010 Memphis, TN 4130 Milwaukee, WI 4150 Minneapolis, MN 4170 Mobile, AL 4190 Modesto, CA 4250 Montgomery, AL 4270 Moreno Valley, CA 4530 New Haven, CT 4610 New York, NY 4630 Newark, NJ 4750 Newport News, VA 4810 Norfolk, VA 4820 North Las Vegas, NV 4860 Norwalk, CA 4990 Oklahoma City, OK 5030 Ontario, CA 5040 Orange, CA 5130 Oxnard, CA 5140 Palmdale, CA 5150 Pasadena, CA 5170 Pasadena, TX 5210 Paterson, NJ 5270 Peoria, IL 5330 Philadelphia, PA 5370 Pittsburgh, PA 5430 Plano, TX 5450 Pomona, CA 5650 Providence, RI 5660 Provo, UT 5750 Raleigh, NC 5770 Rancho Cucamonga, CA 5810 Reno, NV 5870 Richmond, VA 5890 Riverside, CA 5930 Rochester, NY 5970 Rockford, IL 6030 Sacramento, CA 6090 Saint Louis, MO 6110 Saint Paul, MN 6190 Salinas, CA 6210 Salt Lake City, UT 6250 San Bernardino, CA 6260 San Buenaventura (Ventura), CA 6290 San Francisco, CA 6330 Santa Ana, CA 6340 Santa Clarita, CA 6370 Savannah, GA 6430 Seattle, WA 6500 Simi Valley, CA 6530 Sioux Falls, SD 6590 South Bend, IN 6630 Spokane, WA 6650 Springfield, IL 6670 Springfield, MA 6690 Springfield, MO 6730 Stamford, CT 6750 Sterling Heights, MI 6790 Stockton, CA 6850 Syracuse, NY 6870 Tacoma, WA 6960 Thousand Oaks, CA 6970 Toledo, OH 7000 Torrance, CA 7070 Tulsa, OK 7100 Vancouver, WA 7130 Virginia Beach, VA 7180 Warren, MI 7230 Washington, DC 7250 Waterbury, CT 7320 West Covina, CA 7410 Wichita, KS 7530 Winston-Salem, NC 7570 Worcester, MA 7590 Yonkers, NY This variable indicates the city. Geography: M-Z Variables -- HOUSEHOLD IPUMS City population (hundreds) City population (hundreds) City population (hundreds) City population (hundreds) City population (hundreds) City population (hundreds) Households in an identifiable city NIU (not in universe) 967 967 977 977 1004 1004 1014 1014 1020 1020 1032 1032 1041 1041 1043 1043 1049 1049 1052 1052 1073 1073 1077 1077 1094 1094 1095 1095 1098 1098 1099 1099 1131 1131 1132 1132 1140 1140 1142 1142 1143 1143 1149 1149 1157 1157 1165 1165 1171 1171 1182 1182 1193 1193 1200 1200 1213 1213 1232 1232 1240 1240 1242 1242 1245 1245 1262 1262 1264 1264 1279 1279 1280 1280 1295 1295 1329 1329 1346 1346 1351 1351 1370 1370 1379 1379 1388 1388 1407 1407 1408 1408 1424 1424 1441 1441 1448 1448 1450 1450 1487 1487 1503 1503 1508 1508 1512 1512 1514 1514 1543 1543 1551 1551 1552 1552 1568 1568 1589 1589 1663 1663 1680 1680 1681 1681 1701 1701 1707 1707 1724 1724 1734 1734 1753 1753 1755 1755 1766 1766 1783 1783 1789 1789 1823 1823 1836 1836 1844 1844 1845 1845 1887 1887 1900 1900 1928 1928 1929 1929 1931 1931 1939 1939 1940 1940 1944 1944 1961 1961 1965 1965 1970 1970 1976 1976 1979 1979 1981 1981 1986 1986 1995 1995 1998 1998 2020 2020 2057 2057 2081 2081 2097 2097 2103 2103 2206 2206 2234 2234 2291 2291 2296 2296 2369 2369 2418 2418 2486 2486 2550 2550 2708 2708 2735 2735 2761 2761 2787 2787 2814 2814 2853 2853 2901 2901 2938 2938 2984 2984 3084 3084 3128 3128 3323 3323 3344 3344 3440 3440 3472 3472 3563 3563 3577 3577 3728 3728 3829 3829 4356 4356 4443 4443 4473 4473 4538 4538 4667 4667 4725 4725 5377 5377 5734 5734 5815 5815 5825 5825 5908 5908 6305 6305 6314 6314 6709 6709 7440 7440 8711 8711 14484 14484 28333 28333 38494 38494 82144 82144 This variable indicates the city population (in hundreds). Geography: M-Z Variables -- HOUSEHOLD IPUMS Group quarters status Group quarters status Group quarters status Group quarters status Group quarters status Group quarters status All households Vacant unit 1 Households under 1970 definition 2 Additional households under 1990 definition 3 Institutions 4 Other group quarter 5 Additional households under 2000 definition This variable indicates the group quarters status. Group Quarters Variables -- HOUSEHOLD IPUMS Group quarters type Group quarters type Group quarters type Group quarters type Group quarters type Group quarters type Collective households NIU (not in universe) 100 Institution 500 Non-institutional group quarters 900 Other non-Institutional group quarters and unknown This variable indicates the group quarters type. Group Quarters Variables -- HOUSEHOLD IPUMS Farm status Farm status Farm status Farm status Farm status Farm status All households 1 Non-farm 2 Farm This variable indicates the farm status for the household. Household Economic Variables -- HOUSEHOLD IPUMS Sales of farm products (US$) Sales of farm products (US$) Sales of farm products (US$) Sales of farm products (US$) Sales of farm products (US$) 5. In the past twelve months, what were the actual sales of all agricultural products from this property? [] None [] $1 to $999 [] $1,000 to $2,499 [] $2,500 to $4,999 [] $5,000 to $9,999 [] $10,000 or more Private occupied households with lots more than 1 acre NIU (not in universe) 1 2 $1-$999 3 $1,000-$2,499 4 $2,500 - $4,999 5 $5,000 - $9,999 6 $10,000 or more This variable indicates the household's sales of farm products (US$). Household Economic Variables -- HOUSEHOLD IPUMS Ownership of dwelling (tenure) Ownership of dwelling (tenure) Ownership of dwelling (tenure) Ownership of dwelling (tenure) Ownership of dwelling (tenure) 14. Is this house, apartment, or mobile home Mark (X) one box. [] Owned by you or someone in this household with a mortgage or loan? Include home equity loans. [] Owned by you or someone in this household free and clear (without a mortgage or loan)? [] Rented [] Occupied without payment of rent? Skip to C Private occupied households NIU (not in universe) 12 Owned free and clear 13 Owned with mortgage or loan 21 No cash rent 22 With cash rent This variable indicates the ownership of dwelling (tenure). Household Economic Variables -- HOUSEHOLD IPUMS Mortgage status Mortgage status Mortgage status Mortgage status Mortgage status 19. a) Do you or any member of this household have a mortgage, deed of trust, contract to purchase, or similar debt on this property? [] Yes, mortgage, deed of trust, or similar debt [] Yes, contract to purchase [] No skip to question 23a Private occupied households residing in owned dwelling NIU (not in universe) 1 No, owned free and clear 3 Yes, mortgaged/ deed of trust or similar debt 4 Yes, contract to purchase This variable indicates the mortgage status of the dwelling. Household Economic Variables -- HOUSEHOLD IPUMS Second mortgage status Second mortgage status Second mortgage status Second mortgage status Second mortgage status 20. a) Do you or any member of this household have a second mortgage or a home equity loan on this property? [] Yes, home equity loan [] Yes, second mortgage [] Yes, second mortgage and home equity loan [] No -&gt; skip to Section D Private occupied households residing in owned dwelling with mortgage NIU (not in universe) 1 No 3 Yes, 2nd mortgage 4 Yes, home equity loan 5 Yes, 2nd mortgage and home equity loan This variable indicates the second mortgage status of the dwelling. Household Economic Variables -- HOUSEHOLD IPUMS First mortgage monthly payment (US$) First mortgage monthly payment (US$) First mortgage monthly payment (US$) First mortgage monthly payment (US$) First mortgage monthly payment (US$) b) How much is the regular monthly mortgage payment on this property? Include payments only on FIRST mortgage or contract to purchase Monthly amount - Dollars $____.00 or [] No regular payment required -&gt; skip to question 23a Private occupied households residing in owned dwelling with mortgage NIU (not in universe) 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2500 2500 2600 2600 2700 2700 2800 2800 2900 2900 3000 3000 3100 3100 3200 3200 3300 3300 3400 3400 3500 3500 3600 3600 3700 3700 3800 3800 3900 3900 4000 4000 4100 4100 4200 4200 4300 4300 4400 4400 4500 4500 4600 4600 4700 4700 4800 4800 4900 4900 5000 5000 5100 5100 5200 5200 5300 5300 5400 5400 5500 5500 5600 5600 5700 5700 5800 5800 5900 5900 6000 6000 6300 6300 6600 6600 6700 6700 6800 6800 7000 7000 7400 7400 This variable indicates the first mortgage monthly payment (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Commercial use Commercial use Commercial use Commercial use Commercial use 6. Is there a business (such as a store or barber shop) or a medical office on this property? [] Yes [] No Private households in a single-family or mobile home NIU (not in universe) 1 No commercial use 2 Yes, used commercially This variable indicates whether there is commercial use in the dwelling. Household Economic Variables -- HOUSEHOLD IPUMS House acreage House acreage House acreage House acreage House acreage 4. How many acres is this house or mobile home on? [] Less than 1 acre [Skip to question 6] [] 1 to 9.9 acres [] 10 or more acres Private households in a single-family or mobile home NIU (not in universe) 1 House on less than 10 acres 2 House on 10 acres or more This variable indicates the house acreage. Household Economic Variables -- HOUSEHOLD IPUMS Mortgage payment includes property taxes Mortgage payment includes property taxes Mortgage payment includes property taxes Mortgage payment includes property taxes Mortgage payment includes property taxes c) Does the regular monthly mortgage payment include payments for real estate taxes on this property? [] Yes, taxes included in mortgage payment [] No, taxes paid separately or taxes not required Private occupied households residing in owned dwelling with mortgage NIU (not in universe) 1 No 2 Yes This variable indicates whether the mortgage payment includes property taxes. Household Economic Variables -- HOUSEHOLD IPUMS Mortgage payment includes property insurance Mortgage payment includes property insurance Mortgage payment includes property insurance Mortgage payment includes property insurance Mortgage payment includes property insurance d) Does the regular monthly mortgage payment include payments for fire, hazard, or flood insurance on this property? [] Yes, insurance included in mortgage payment [] No, insurance paid separately or no insurance Private occupied households residing in owned dwelling with mortgage NIU (not in universe) 1 No 2 Yes, payment includes insurance premiums This variable indicates whether the mortgage payment includes property insurance. Household Economic Variables -- HOUSEHOLD IPUMS Annualproperty insurance cost (US$) Annualproperty insurance cost (US$) Annualproperty insurance cost (US$) Annualproperty insurance cost (US$) Annualproperty insurance cost (US$) 18. What is the annual payment for fire, hazard, and flood insurance on THIS property? Annual amount Dollars $____.00 or [] None Private occupied households residing in owned dwelling NIU (not in universe) 1 None 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2500 2500 2600 2600 2700 2700 2800 2800 2900 2900 3000 3000 3100 3100 3200 3200 3300 3300 3400 3400 3500 3500 3600 3600 3700 3700 3800 3800 3900 3900 4000 4000 4100 4100 4200 4200 4300 4300 4400 4400 4500 4500 4600 4600 4700 4700 4800 4800 4900 4900 5000 5000 5100 5100 5200 5200 5300 5300 5400 5400 5500 5500 5600 5600 5700 5700 5800 5800 5900 5900 6000 6000 6100 6100 6200 6200 6300 6300 6400 6400 6500 6500 6800 6800 6900 6900 7200 7200 8000 8000 8400 8400 This variable indicates the annual property insurance cost (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Annual property taxes (US$), 1990 Annual property taxes (US$), 1990 Annual property taxes (US$), 1990 Annual property taxes (US$), 1990 Annual property taxes (US$), 1990 17. What are the annual real estate taxes on THIS property? Annual amount Dollars $____.00 or [] None Private occupied households residing in owned dwelling NIU (not in universe) 1 None 2 $1-49 3 $50-99 4 $100-149 5 $150-199 6 $200-249 7 $250-299 8 $300-349 9 $350-399 10 $400-449 11 $450-499 12 $500-549 13 $550-599 14 $600-649 15 $650-699 16 $700-749 17 $750-799 18 $800-849 19 $850-899 20 $900-949 21 $950-999 22 $1000-1099 23 $1100-1199 24 $1200-1299 25 $1300-1399 26 $1400-1499 27 $1500-1599 28 $1600-1699 29 $1700-1799 30 $1800-1899 31 $1900-1999 32 $2000-2099 33 $2100-2199 34 $2200-2299 35 $2300-2399 36 $2400-2499 37 $2500-2599 38 $2600-2699 39 $2700-2799 40 $2800-2899 41 $2900-2999 42 $3000-3099 43 $3100-3199 44 $3200-3299 45 $3300-3399 46 $3400-3499 47 $3500-3599 48 $3600-3699 49 $3700-3799 50 $3800-3899 51 $3900-3999 52 $4000-4099 53 $4100-4199 54 $4200-4299 55 $4300-4399 56 $4400-4499 58 $4500-4599 59 $4600-4699 60 $4700-4799 61 $4800-4899 62 $4900-4999 63 $5000-5499 64 $5500-5999 65 $6000-6999 66 $7000-7999 67 $8000-8999 68 $9000-9999 69 $10,000+ This variable indicates the annual property taxes (in US$), for 1990. Household Economic Variables -- HOUSEHOLD IPUMS Monthly gross rent (US$) Monthly gross rent (US$) Monthly gross rent (US$) Monthly gross rent (US$) Monthly gross rent (US$) 15. a) What is the monthly rent for this house, apartment, or mobile home? Monthly amount Dollars $____.00 Private occupied households residing in rented dwelling This variable indicates the monthly gross rent (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Meals included in rent Meals included in rent Meals included in rent Meals included in rent Meals included in rent b) Does this monthly rent include any meals? [] Yes [] No Renter-occupied or vacant-to-rent units that rented for cash rent not group quarters NIU (not in universe) 1 No, meals not included 2 Yes This variable indicates whether meals are included in the rent. Household Economic Variables -- HOUSEHOLD IPUMS Monthly condominium fee (US$) Monthly condominium fee (US$) Monthly condominium fee (US$) Monthly condominium fee (US$) Monthly condominium fee (US$) 13. Is this house, apartment, or mobile home part of a condominium? [] Yes [] No What is the monthly condominium fee? For renters, answer only if you pay the condominium fee in addition to your rent; otherwise, mark the "None" box. Monthly Amount Dollars $________________.00 or [] None Owner-occupied condominiums with a condominium fee, not group quarters NIU (not in universe) 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 This variable indicates the monthly condominium fee (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Annual mobile home costs (US$) Annual mobile home costs (US$) Annual mobile home costs (US$) Annual mobile home costs (US$) Annual mobile home costs (US$) 21. What are the total annual costs for personal property taxes, site rent, registration fees, and license fees on THIS mobile home and its site? Exclude real estate taxes. Annual costs - Dollars $____.00 Households residing in mobile homes This variable indicates the annual mobile home costs (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Annual electricity cost (US$) Annual electricity cost (US$) Annual electricity cost (US$) Annual electricity cost (US$) Annual electricity cost (US$) 11. a) Last month, what was the cost of electricity for this house, apartment, or mobile home? Last month's cost Dollars $________________.00 or [] Included in rent or condominium fee [] No charge or electricity not used Private occupied households NIU (not in universe) 48 48 120 120 240 240 360 360 480 480 600 600 720 720 840 840 960 960 1080 1080 1200 1200 1320 1320 1440 1440 1560 1560 1680 1680 1800 1800 1920 1920 2040 2040 2160 2160 2280 2280 2400 2400 2520 2520 2640 2640 2760 2760 2880 2880 3000 3000 3120 3120 3240 3240 3360 3360 3480 3480 3600 3600 3720 3720 3840 3840 3960 3960 4080 4080 4200 4200 4320 4320 4440 4440 4560 4560 4680 4680 4800 4800 4920 4920 5040 5040 5160 5160 5280 5280 5400 5400 5520 5520 5640 5640 5760 5760 5880 5880 6000 6000 6120 6120 6240 6240 6360 6360 6480 6480 6600 6600 6720 6720 6840 6840 6960 6960 7080 7080 7200 7200 9993 No charge or not used 9997 Electricity included in rent or condo fee This variable indicates the annual electricity cost (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Annual gas cost (US$) Annual gas cost (US$) Annual gas cost (US$) Annual gas cost (US$) Annual gas cost (US$) b) Last month, what was the cost of gas for this house, apartment or mobile home? Last month's cost Dollars $________________.00 or [] Included in rent or condominium fee [] Included in electricity payment entered above [] No charge or gas not used Private occupied households NIU (not in universe) 48 48 120 120 240 240 360 360 480 480 600 600 720 720 840 840 960 960 1080 1080 1200 1200 1320 1320 1440 1440 1560 1560 1680 1680 1800 1800 1920 1920 2040 2040 2160 2160 2280 2280 2400 2400 2520 2520 2640 2640 2760 2760 2880 2880 3000 3000 3120 3120 3240 3240 3360 3360 3480 3480 3600 3600 3720 3720 3840 3840 3960 3960 4080 4080 4200 4200 4320 4320 4440 4440 4560 4560 4680 4680 4800 4800 4920 4920 5040 5040 5160 5160 5280 5280 5400 5400 5520 5520 5640 5640 5760 5760 5880 5880 6000 6000 6120 6120 6240 6240 6360 6360 6480 6480 9992 Included in electricity payment 9993 No charge or not used 9997 Gas included in rent or condo fee This variable indicates the annual gas cost (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Annual water cost (US$) Annual water cost (US$) Annual water cost (US$) Annual water cost (US$) Annual water cost (US$) c) In the past twelve months, what was the cost of water and sewer for this house, apartment, or mobile home? If you have listed here less than 12 months, estimate the cost. Past 12 months' cost Dollars $________________.00 or [] Included in rent or condominium fee [] No charge Private occupied households NIU (not in universe) 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2500 2500 2600 2600 2700 2700 2800 2800 2900 2900 3000 3000 3100 3100 3200 3200 3300 3300 3400 3400 3500 3500 3600 3600 4200 4200 9993 No charge or not used 9997 Water included in rent or condo fee This variable indicates the annual water cost (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Annual home heating fuel cost (US$) Annual home heating fuel cost (US$) Annual home heating fuel cost (US$) Annual home heating fuel cost (US$) Annual home heating fuel cost (US$) d) In the past twelve months, what was the cost of oil, coal, kerosene, wood, etc., for this house, apartment, or mobile home? If you have lived here less than 12 months, estimate the cost Past 12 month's cost Dollars $________________.00 or [] Included in rent or condominium fee [] No charge or these fuels not used Private occupied households NIU (not in universe) 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2500 2500 2600 2600 2700 2700 2800 2800 2900 2900 3000 3000 3100 3100 3200 3200 3300 3300 3400 3400 3500 3500 3600 3600 3700 3700 3800 3800 3900 3900 4000 4000 4100 4100 4200 4200 4300 4300 4400 4400 4500 4500 4600 4600 4700 4700 4800 4800 4900 4900 5000 5000 5100 5100 5200 5200 5300 5300 5400 5400 5500 5500 5600 5600 5700 5700 5900 5900 6300 6300 6400 6400 9993 No charge or not used 9997 Fuel included in rent or condo fee This variable indicates the annual home heating fuel cost (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Vacancy status Vacancy status Vacancy status Vacancy status Vacancy status Vacancy status Vacant units NIU (not in universe) 1 For rent 2 For sale only 3 Rented or sold but not (yet) occupied 4 For seasonal, recreational or other occasional use 7 For migratory workers 9 Other vacant This variable indicates the dwelling vacancy status. Technical Household Variables -- HOUSEHOLD IPUMS Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities Kitchen or cooking facilities Private households NIU (not in universe) 1 No 4 Yes (shared or exclusive use) This variable indicates whether the dwelling has a kitchen or cooking facilities. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Plumbing facilities Plumbing facilities Plumbing facilities Plumbing facilities Plumbing facilities Plumbing facilities Private households NIU (not in universe) 10 Without complete plumbing 20 With complete plumbing This variable indicates whether the dwelling has plumbing facilities. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Hot and cold piped water Hot and cold piped water Hot and cold piped water Hot and cold piped water Hot and cold piped water 8. Does this house, apartment, or mobile home have: a) Hot and cold running water? [] Yes [] No Private households NIU (not in universe) 3 No piped water or cold piped water only 4 Hot and cold piped water This variable indicates whether the dwelling has hot and cold piped water. Utilities Variables -- HOUSEHOLD IPUMS Bathtub or shower Bathtub or shower Bathtub or shower Bathtub or shower Bathtub or shower 8. Does this house, apartment, or mobile home have: c) A bathtub or shower? [] Yes [] No Private households NIU (not in universe) 1 No, no bathtub or shower 4 Yes (exclusive or shared use) This variable indicates whether the dwelling has a bathtub or shower. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Flush toilet Flush toilet Flush toilet Flush toilet Flush toilet 8. Does this house, apartment, or mobile home have: b) A flush toilet? [] Yes [] No Private households NIU (not in universe) 1 No, no indoor flush toilet 4 Yes, shared or exclusive use This variable indicates whether the dwelling has a flush toilet. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Units in structure Units in structure Units in structure Units in structure Units in structure 1. Which best describes this building? Include all apartments, flats, etc., even if vacant. [] A mobile home [] A one-family house detached from any other house [] A one-family house attached to one or more houses [] A building with 2 apartments [] A building with 3 or 4 apartments [] A building with 5 to 9 apartments [] A building with 10 to 19 apartments [] A building with 20-49 apartments [] A building with 50 or more apartments [] Boat, RV, van, etc. Private households NIU (not in universe) 1 Mobile home or trailer 2 Boat, tent, van, other 3 1-family house, detached 4 1-family house, attached 5 2-family building 6 3-4 family building 7 5-9 family building 8 10-19 family building 9 20-49 family building 10 50+ family building This variable indicates the number of units in the structure. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Telephone availability Telephone availability Telephone availability Telephone availability Telephone availability 8. Does this house, apartment, or mobile home have: g) Telephone service from which you can both make and receive calls? Include cell phones. [] Yes [] No Private occupied households NIU (not in universe) 1 No, no phone available 2 Yes, phone available This variable indicates the telephone availability in the dwelling. Utilities Variables -- HOUSEHOLD IPUMS Second mortgage monthly payment (US$) Second mortgage monthly payment (US$) Second mortgage monthly payment (US$) Second mortgage monthly payment (US$) Second mortgage monthly payment (US$) b) How much is the regular monthly payment on all second or junior mortgages and all home equity loans on this property? Monthly amount - Dollars $____.00 or [] No regular payment required Private occupied households residing in owned dwelling with a second mortgage NIU (not in universe) 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2600 2600 2900 2900 3000 3000 3600 3600 This variable indicates the second mortgage monthly payment (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Linguistic isolation Linguistic isolation Linguistic isolation Linguistic isolation Linguistic isolation Linguistic isolation Private occupied households NIU (not in universe) 1 Not linguistically isolated 2 Linguistically isolated This variable indicates linguistic isolation of the household. Other Household Variables -- HOUSEHOLD IPUMS Home heating fuel Home heating fuel Home heating fuel Home heating fuel Home heating fuel 10. Which fuel is used most for heating this house, apartment or mobile home? [] Gas: from underground pipes serving the neighborhood [] Gas: bottled, tank or LP [] Electricity [] Fuel oil, kerosene, etc. [] Coal or coke [] Wood [] Solar energy [] Other fuel [] No fuel used Private occupied households NIU (not in universe) 1 No fuel used 2 Utility gas from underground pipes serving neighborhood 3 Bottled, tank, or liquefied petroleum gas 4 Electricity 5 Fuel oil, kerosene, other liquid fuels 6 Coal or coke 7 Wood 8 Solar energy 9 Other This variable indicates the type of home heating fuel. Utilities Variables -- HOUSEHOLD IPUMS Vehicles available Vehicles available Vehicles available Vehicles available Vehicles available 9. How many automobiles, vans, and trucks of one-ton capacity or less are kept at home for use by members of this household? [] None [] 1 [] 2 [] 3 [] 4 [] 5 [] 6 or more Private occupied households 0 available 1 1 2 2 3 3 4 4 5 5 6 6 9 NIU (not in universe) This variable indicates the number of vehicles available. Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS Number of families in household Number of families in household Number of families in household Number of families in household Number of families in household Number of families in household Occupied dwellings NIU (not in universe) 1 1 family or N/A 2 2 families 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 17 17 This variable indicates the number of families in the household. Constructed Household Variables -- HOUSEHOLD IPUMS Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household All households 0 couples or N/A 1 1 2 2 3 3 4 4 5 5 This variable indicates the number of married couples in the household. Constructed Household Variables -- HOUSEHOLD IPUMS Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household All households 0 mothers or N/A 1 1 2 2 3 3 4 4 This variable indicates the number of mothers in the household. Constructed Household Variables -- HOUSEHOLD IPUMS Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household All households 0 fathers or N/A 1 1 2 2 3 3 4 4 This variable indicates the number of fathers in the household. Constructed Household Variables -- HOUSEHOLD IPUMS Flag for acrehous Flag for acrehous Flag for acrehous Flag for acrehous Flag for acrehous Flag for acrehous All households Not allocated or N/A 4 Allocated, hot deck This variable is a quality flag for acrehous. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for moblhome, moblhom2 Flag for moblhome, moblhom2 Flag for moblhome, moblhom2 Flag for moblhome, moblhom2 Flag for moblhome, moblhom2 Flag for moblhome, moblhom2 All households Not allocated 4 Allocated This variable is a quality flag for moblhome, moblhom2. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for mortamt1 Flag for mortamt1 Flag for mortamt1 Flag for mortamt1 Flag for mortamt1 Flag for mortamt1 All households Not allocated 4 Allocated This variable is a quality flag for mortamt1. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for insrincl Flag for insrincl Flag for insrincl Flag for insrincl Flag for insrincl Flag for insrincl All households Not allocated 4 Allocated This variable is a quality flag for insrincl. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for mortamt2 Flag for mortamt2 Flag for mortamt2 Flag for mortamt2 Flag for mortamt2 Flag for mortamt2 All households Not allocated 4 Allocated This variable is a quality flag for mortamt2. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for bedrooms Flag for bedrooms Flag for bedrooms Flag for bedrooms Flag for bedrooms Flag for bedrooms All households Not allocated 4 Allocated, hot deck This variable is a quality flag for bedrooms. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for commuse Flag for commuse Flag for commuse Flag for commuse Flag for commuse Flag for commuse All households Not allocated 4 Allocated, hot deck This variable is a quality flag for commuse. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 All households Not allocated 4 Allocated This variable is a quality flag for mortgag2. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for costelec Flag for costelec Flag for costelec Flag for costelec Flag for costelec Flag for costelec All households Not allocated 4 Allocated This variable is a quality flag for costelec. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for mortgage Flag for mortgage Flag for mortgage Flag for mortgage Flag for mortgage Flag for mortgage All households Not allocated 4 Allocated This variable is a quality flag for mortgage. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for costfuel Flag for costfuel Flag for costfuel Flag for costfuel Flag for costfuel Flag for costfuel All households Not allocated 4 Allocated This variable is a quality flag for costfuel. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for costgas Flag for costgas Flag for costgas Flag for costgas Flag for costgas Flag for costgas All households Not allocated 4 Allocated This variable is a quality flag for costgas. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for propinsr Flag for propinsr Flag for propinsr Flag for propinsr Flag for propinsr Flag for propinsr All households Not allocated 4 Allocated This variable is a quality flag for propinsr. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for costwatr Flag for costwatr Flag for costwatr Flag for costwatr Flag for costwatr Flag for costwatr All households Not allocated 4 Allocated This variable is a quality flag for costwatr. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for proptx99 Flag for proptx99 Flag for proptx99 Flag for proptx99 Flag for proptx99 Flag for proptx99 All households Not allocated 4 Allocated This variable is a quality flag for proptx99. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for rentmeal Flag for rentmeal Flag for rentmeal Flag for rentmeal Flag for rentmeal Flag for rentmeal All households Not allocated 4 Allocated This variable is a quality flag for rentmeal. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for fuelheat Flag for fuelheat Flag for fuelheat Flag for fuelheat Flag for fuelheat Flag for fuelheat All households Not allocated 4 Allocated This variable is a quality flag for fuelheat. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for plumbing Flag for plumbing Flag for plumbing Flag for plumbing Flag for plumbing Flag for plumbing All households Not allocated 4 Allocated This variable is a quality flag for plumbing. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for kitchen Flag for kitchen Flag for kitchen Flag for kitchen Flag for kitchen Flag for kitchen All households Not allocated 4 Allocated This variable is a quality flag for kitchen. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for ownershp Flag for ownershp Flag for ownershp Flag for ownershp Flag for ownershp Flag for ownershp All households Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for ownershp. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for phone Flag for phone Flag for phone Flag for phone Flag for phone Flag for phone All households Not allocated 4 Allocated This variable is a quality flag for phone. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for rent, rent30 Flag for rent, rent30 Flag for rent, rent30 Flag for rent, rent30 Flag for rent, rent30 Flag for rent, rent30 All households Original entry or Inapplicable (not in universe) 4 Allocated (method not specified) This variable is a quality flag for rent, rent30. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for rooms Flag for rooms Flag for rooms Flag for rooms Flag for rooms Flag for rooms All households Not allocated 4 Allocated This variable is a quality flag for rooms. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for shower Flag for shower Flag for shower Flag for shower Flag for shower Flag for shower All households Not allocated 4 Allocated, method not specified This variable is a quality flag for shower. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for unitsstr Flag for unitsstr Flag for unitsstr Flag for unitsstr Flag for unitsstr Flag for unitsstr All households Not allocated 4 Allocated This variable is a quality flag for unitsstr. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for vacancy Flag for vacancy Flag for vacancy Flag for vacancy Flag for vacancy Flag for vacancy All households Not allocated 4 Allocated This variable is a quality flag for vacancy. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for valueh Flag for valueh Flag for valueh Flag for valueh Flag for valueh Flag for valueh All households Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for valueh. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for condofee Flag for condofee Flag for condofee Flag for condofee Flag for condofee Flag for condofee All households Not allocated 4 Allocated This variable is a quality flag for condofee. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for taxincl Flag for taxincl Flag for taxincl Flag for taxincl Flag for taxincl Flag for taxincl All households Not allocated 4 Allocated This variable is a quality flag for taxincl. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Food stamp recipiency Food stamp recipiency Food stamp recipiency Food stamp recipiency Food stamp recipiency 12. In the past twelve months, did anyone in this household receive food stamps or a food stamp benefit card? Include government benefits from the Supplemental Nutrition Assistance Program (SNAP). Do not include WIC or the National School Lunch Program. [] Yes [] No Occupied dwellings NIU (not in universe) 1 No 2 Yes This variable indicates food stamp recipiency. Household Economic Variables -- HOUSEHOLD IPUMS Flag for foodstmp and fdstpamt Flag for foodstmp and fdstpamt Flag for foodstmp and fdstpamt Flag for foodstmp and fdstpamt Flag for foodstmp and fdstpamt Flag for foodstmp and fdstpamt All households Not allocated 4 Allocated This variable is a quality flag for foodstmp and fdstpamt. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Flag for mortgag2 Not allocated This variable is a quality flag for mortgag2. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Super Public Use Microdata Area Super Public Use Microdata Area Super Public Use Microdata Area Super Public Use Microdata Area Super Public Use Microdata Area Super Public Use Microdata Area All households This variable indicates the Super Public Use Microdata Area. Geography: M-Z Variables -- HOUSEHOLD IPUMS Age of structure, decade Age of structure, decade Age of structure, decade Age of structure, decade Age of structure, decade 2. About when was this building first built? [] 2000 or later. Specify year: ______ [] 1990 to 1999 [] 1980 to 1989 [] 1970 to 1979 [] 1960 to 1969 [] 1950 to 1959 [] 1940 to 1949 [] 1939 or earlier Private households NIU (not in universe) 1 1939 or earlier 2 1940-1949 3 1950-1959 4 1960-1969 5 1970-1979 6 1980-1989 7 1990-1999 9 2000-2004 10 2005 11 2006 12 2007 13 2008 14 2009 15 2010 This variable indicates the age of the structure (decade). Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Flag for builtyr2 Flag for builtyr2 Flag for builtyr2 Flag for builtyr2 Flag for builtyr2 Flag for builtyr2 All households Not allocated 4 Allocated This variable is a quality flag for builtyr2. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Number of families in household (alt) Number of families in household (alt) Number of families in household (alt) Number of families in household (alt) Number of families in household (alt) Number of families in household (alt) Occupied dwellings NIU (not in universe) 1 1 family or N/A 2 2 families 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 17 17 This variable indicates the number of families in household (alternative definition). Constructed Household Variables -- HOUSEHOLD IPUMS Number of married couples in household (alt) Number of married couples in household (alt) Number of married couples in household (alt) Number of married couples in household (alt) Number of married couples in household (alt) Number of married couples in household (alt) All households 0 couples or N/A 1 1 2 2 3 3 4 4 5 5 This variable indicates the number of married couples in household (alternative definition). Constructed Household Variables -- HOUSEHOLD IPUMS Number of mothers in household (alt) Number of mothers in household (alt) Number of mothers in household (alt) Number of mothers in household (alt) Number of mothers in household (alt) Number of mothers in household (alt) All households 0 mothers or N/A 1 1 2 2 3 3 4 4 This variable indicates the number of mothers in household (alternative definition). Constructed Household Variables -- HOUSEHOLD IPUMS Number of fathers in household (alt) Number of fathers in household (alt) Number of fathers in household (alt) Number of fathers in household (alt) Number of fathers in household (alt) Number of fathers in household (alt) All households 0 fathers or N/A 1 1 2 2 3 3 4 4 This variable indicates the number of fathers in household (alternative definition). Constructed Household Variables -- HOUSEHOLD IPUMS Household type Household type Household type Household type Household type Household type Private occupied households NIU (not in universe) 1 Married-couple family household 2 Male householder, no wife present 3 Female householder, no husband present 4 Male householder, living alone 5 Male householder, not living alone 6 Female householder, living alone 7 Female householder, not living alone This variable indicates the household type. Constructed Household Variables -- HOUSEHOLD IPUMS Consistent Public Use Microdata Area Consistent Public Use Microdata Area Consistent Public Use Microdata Area Consistent Public Use Microdata Area Consistent Public Use Microdata Area Consistent Public Use Microdata Area All households This variable indicates the Consistent Public Use Microdata Area. Other Household Variables -- HOUSEHOLD IPUMS Household replicate weight 1 Household replicate weight 1 Household replicate weight 1 Household replicate weight 1 Household replicate weight 1 Household replicate weight 1 All households This variable indicates the household replicate weight 1. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 2 Household replicate weight 2 Household replicate weight 2 Household replicate weight 2 Household replicate weight 2 Household replicate weight 2 All households This variable indicates the household replicate weight 2. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 3 Household replicate weight 3 Household replicate weight 3 Household replicate weight 3 Household replicate weight 3 Household replicate weight 3 All households This variable indicates the household replicate weight 3. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 4 Household replicate weight 4 Household replicate weight 4 Household replicate weight 4 Household replicate weight 4 Household replicate weight 4 All households This variable indicates the household replicate weight 4. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 5 Household replicate weight 5 Household replicate weight 5 Household replicate weight 5 Household replicate weight 5 Household replicate weight 5 All households This variable indicates the household replicate weight 5. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 6 Household replicate weight 6 Household replicate weight 6 Household replicate weight 6 Household replicate weight 6 Household replicate weight 6 All households This variable indicates the household replicate weight 6. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 7 Household replicate weight 7 Household replicate weight 7 Household replicate weight 7 Household replicate weight 7 Household replicate weight 7 All households This variable indicates the household replicate weight 7. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 8 Household replicate weight 8 Household replicate weight 8 Household replicate weight 8 Household replicate weight 8 Household replicate weight 8 All households This variable indicates the household replicate weight 8. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 9 Household replicate weight 9 Household replicate weight 9 Household replicate weight 9 Household replicate weight 9 Household replicate weight 9 All households This variable indicates the household replicate weight 9. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 10 Household replicate weight 10 Household replicate weight 10 Household replicate weight 10 Household replicate weight 10 Household replicate weight 10 All households This variable indicates the household replicate weight 10. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 11 Household replicate weight 11 Household replicate weight 11 Household replicate weight 11 Household replicate weight 11 Household replicate weight 11 All households This variable indicates the household replicate weight 11. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 12 Household replicate weight 12 Household replicate weight 12 Household replicate weight 12 Household replicate weight 12 Household replicate weight 12 All households This variable indicates the household replicate weight 12. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 13 Household replicate weight 13 Household replicate weight 13 Household replicate weight 13 Household replicate weight 13 Household replicate weight 13 All households This variable indicates the household replicate weight 13. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 14 Household replicate weight 14 Household replicate weight 14 Household replicate weight 14 Household replicate weight 14 Household replicate weight 14 All households This variable indicates the household replicate weight 14. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 15 Household replicate weight 15 Household replicate weight 15 Household replicate weight 15 Household replicate weight 15 Household replicate weight 15 All households This variable indicates the household replicate weight 15. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 16 Household replicate weight 16 Household replicate weight 16 Household replicate weight 16 Household replicate weight 16 Household replicate weight 16 All households This variable indicates the household replicate weight 16. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 17 Household replicate weight 17 Household replicate weight 17 Household replicate weight 17 Household replicate weight 17 Household replicate weight 17 All households This variable indicates the household replicate weight 17. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 18 Household replicate weight 18 Household replicate weight 18 Household replicate weight 18 Household replicate weight 18 Household replicate weight 18 All households This variable indicates the household replicate weight 18. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 19 Household replicate weight 19 Household replicate weight 19 Household replicate weight 19 Household replicate weight 19 Household replicate weight 19 All households This variable indicates the household replicate weight 19. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 20 Household replicate weight 20 Household replicate weight 20 Household replicate weight 20 Household replicate weight 20 Household replicate weight 20 All households This variable indicates the household replicate weight 20. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 21 Household replicate weight 21 Household replicate weight 21 Household replicate weight 21 Household replicate weight 21 Household replicate weight 21 All households This variable indicates the household replicate weight 21. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 22 Household replicate weight 22 Household replicate weight 22 Household replicate weight 22 Household replicate weight 22 Household replicate weight 22 All households This variable indicates the household replicate weight 22. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 23 Household replicate weight 23 Household replicate weight 23 Household replicate weight 23 Household replicate weight 23 Household replicate weight 23 All households This variable indicates the household replicate weight 23. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 24 Household replicate weight 24 Household replicate weight 24 Household replicate weight 24 Household replicate weight 24 Household replicate weight 24 All households This variable indicates the household replicate weight 24. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 25 Household replicate weight 25 Household replicate weight 25 Household replicate weight 25 Household replicate weight 25 Household replicate weight 25 All households This variable indicates the household replicate weight 25. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 26 Household replicate weight 26 Household replicate weight 26 Household replicate weight 26 Household replicate weight 26 Household replicate weight 26 All households This variable indicates the household replicate weight 26. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 27 Household replicate weight 27 Household replicate weight 27 Household replicate weight 27 Household replicate weight 27 Household replicate weight 27 All households This variable indicates the household replicate weight 27. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 28 Household replicate weight 28 Household replicate weight 28 Household replicate weight 28 Household replicate weight 28 Household replicate weight 28 All households This variable indicates the household replicate weight 28. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 29 Household replicate weight 29 Household replicate weight 29 Household replicate weight 29 Household replicate weight 29 Household replicate weight 29 All households This variable indicates the household replicate weight 29. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 30 Household replicate weight 30 Household replicate weight 30 Household replicate weight 30 Household replicate weight 30 Household replicate weight 30 All households This variable indicates the household replicate weight 30. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 31 Household replicate weight 31 Household replicate weight 31 Household replicate weight 31 Household replicate weight 31 Household replicate weight 31 All households This variable indicates the household replicate weight 31. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 32 Household replicate weight 32 Household replicate weight 32 Household replicate weight 32 Household replicate weight 32 Household replicate weight 32 All households This variable indicates the household replicate weight 32. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 33 Household replicate weight 33 Household replicate weight 33 Household replicate weight 33 Household replicate weight 33 Household replicate weight 33 All households This variable indicates the household replicate weight 33. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 34 Household replicate weight 34 Household replicate weight 34 Household replicate weight 34 Household replicate weight 34 Household replicate weight 34 All households This variable indicates the household replicate weight 34. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 35 Household replicate weight 35 Household replicate weight 35 Household replicate weight 35 Household replicate weight 35 Household replicate weight 35 All households This variable indicates the household replicate weight 35. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 36 Household replicate weight 36 Household replicate weight 36 Household replicate weight 36 Household replicate weight 36 Household replicate weight 36 All households This variable indicates the household replicate weight 36. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 37 Household replicate weight 37 Household replicate weight 37 Household replicate weight 37 Household replicate weight 37 Household replicate weight 37 All households This variable indicates the household replicate weight 37. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 38 Household replicate weight 38 Household replicate weight 38 Household replicate weight 38 Household replicate weight 38 Household replicate weight 38 All households This variable indicates the household replicate weight 38. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 39 Household replicate weight 39 Household replicate weight 39 Household replicate weight 39 Household replicate weight 39 Household replicate weight 39 All households This variable indicates the household replicate weight 39. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 40 Household replicate weight 40 Household replicate weight 40 Household replicate weight 40 Household replicate weight 40 Household replicate weight 40 All households This variable indicates the household replicate weight 40. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 41 Household replicate weight 41 Household replicate weight 41 Household replicate weight 41 Household replicate weight 41 Household replicate weight 41 All households This variable indicates the household replicate weight 41. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 42 Household replicate weight 42 Household replicate weight 42 Household replicate weight 42 Household replicate weight 42 Household replicate weight 42 All households This variable indicates the household replicate weight 42. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 43 Household replicate weight 43 Household replicate weight 43 Household replicate weight 43 Household replicate weight 43 Household replicate weight 43 All households This variable indicates the household replicate weight 43. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 44 Household replicate weight 44 Household replicate weight 44 Household replicate weight 44 Household replicate weight 44 Household replicate weight 44 All households This variable indicates the household replicate weight 44. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 45 Household replicate weight 45 Household replicate weight 45 Household replicate weight 45 Household replicate weight 45 Household replicate weight 45 All households This variable indicates the household replicate weight 45. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 46 Household replicate weight 46 Household replicate weight 46 Household replicate weight 46 Household replicate weight 46 Household replicate weight 46 All households This variable indicates the household replicate weight 46. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 47 Household replicate weight 47 Household replicate weight 47 Household replicate weight 47 Household replicate weight 47 Household replicate weight 47 All households This variable indicates the household replicate weight 47. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 48 Household replicate weight 48 Household replicate weight 48 Household replicate weight 48 Household replicate weight 48 Household replicate weight 48 All households This variable indicates the household replicate weight 48. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 49 Household replicate weight 49 Household replicate weight 49 Household replicate weight 49 Household replicate weight 49 Household replicate weight 49 All households This variable indicates the household replicate weight 49. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 50 Household replicate weight 50 Household replicate weight 50 Household replicate weight 50 Household replicate weight 50 Household replicate weight 50 All households This variable indicates the household replicate weight 50. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 51 Household replicate weight 51 Household replicate weight 51 Household replicate weight 51 Household replicate weight 51 Household replicate weight 51 All households This variable indicates the household replicate weight 51. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 52 Household replicate weight 52 Household replicate weight 52 Household replicate weight 52 Household replicate weight 52 Household replicate weight 52 All households This variable indicates the household replicate weight 52. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 53 Household replicate weight 53 Household replicate weight 53 Household replicate weight 53 Household replicate weight 53 Household replicate weight 53 All households This variable indicates the household replicate weight 53. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 54 Household replicate weight 54 Household replicate weight 54 Household replicate weight 54 Household replicate weight 54 Household replicate weight 54 All households This variable indicates the household replicate weight 54. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 55 Household replicate weight 55 Household replicate weight 55 Household replicate weight 55 Household replicate weight 55 Household replicate weight 55 All households This variable indicates the household replicate weight 55. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 56 Household replicate weight 56 Household replicate weight 56 Household replicate weight 56 Household replicate weight 56 Household replicate weight 56 All households This variable indicates the household replicate weight 56. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 57 Household replicate weight 57 Household replicate weight 57 Household replicate weight 57 Household replicate weight 57 Household replicate weight 57 All households This variable indicates the household replicate weight 57. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 58 Household replicate weight 58 Household replicate weight 58 Household replicate weight 58 Household replicate weight 58 Household replicate weight 58 All households This variable indicates the household replicate weight 58. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 59 Household replicate weight 59 Household replicate weight 59 Household replicate weight 59 Household replicate weight 59 Household replicate weight 59 All households This variable indicates the household replicate weight 59. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 60 Household replicate weight 60 Household replicate weight 60 Household replicate weight 60 Household replicate weight 60 Household replicate weight 60 All households This variable indicates the household replicate weight 60. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 61 Household replicate weight 61 Household replicate weight 61 Household replicate weight 61 Household replicate weight 61 Household replicate weight 61 All households This variable indicates the household replicate weight 61. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 62 Household replicate weight 62 Household replicate weight 62 Household replicate weight 62 Household replicate weight 62 Household replicate weight 62 All households This variable indicates the household replicate weight 62. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 63 Household replicate weight 63 Household replicate weight 63 Household replicate weight 63 Household replicate weight 63 Household replicate weight 63 All households This variable indicates the household replicate weight 63. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 64 Household replicate weight 64 Household replicate weight 64 Household replicate weight 64 Household replicate weight 64 Household replicate weight 64 All households This variable indicates the household replicate weight 64. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 65 Household replicate weight 65 Household replicate weight 65 Household replicate weight 65 Household replicate weight 65 Household replicate weight 65 All households This variable indicates the household replicate weight 65. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 66 Household replicate weight 66 Household replicate weight 66 Household replicate weight 66 Household replicate weight 66 Household replicate weight 66 All households This variable indicates the household replicate weight 66. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 67 Household replicate weight 67 Household replicate weight 67 Household replicate weight 67 Household replicate weight 67 Household replicate weight 67 All households This variable indicates the household replicate weight 67. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 68 Household replicate weight 68 Household replicate weight 68 Household replicate weight 68 Household replicate weight 68 Household replicate weight 68 All households This variable indicates the household replicate weight 68. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 69 Household replicate weight 69 Household replicate weight 69 Household replicate weight 69 Household replicate weight 69 Household replicate weight 69 All households This variable indicates the household replicate weight 69. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 70 Household replicate weight 70 Household replicate weight 70 Household replicate weight 70 Household replicate weight 70 Household replicate weight 70 All households This variable indicates the household replicate weight 70. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 71 Household replicate weight 71 Household replicate weight 71 Household replicate weight 71 Household replicate weight 71 Household replicate weight 71 All households This variable indicates the household replicate weight 71. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight72 Household replicate weight72 Household replicate weight72 Household replicate weight72 Household replicate weight72 Household replicate weight72 All households This variable indicates the household replicate weight 72. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 73 Household replicate weight 73 Household replicate weight 73 Household replicate weight 73 Household replicate weight 73 Household replicate weight 73 All households This variable indicates the household replicate weight 73. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 74 Household replicate weight 74 Household replicate weight 74 Household replicate weight 74 Household replicate weight 74 Household replicate weight 74 All households This variable indicates the household replicate weight 74. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 75 Household replicate weight 75 Household replicate weight 75 Household replicate weight 75 Household replicate weight 75 Household replicate weight 75 All households This variable indicates the household replicate weight 75. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 76 Household replicate weight 76 Household replicate weight 76 Household replicate weight 76 Household replicate weight 76 Household replicate weight 76 All households This variable indicates the household replicate weight 76. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 77 Household replicate weight 77 Household replicate weight 77 Household replicate weight 77 Household replicate weight 77 Household replicate weight 77 All households This variable indicates the household replicate weight 77. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 78 Household replicate weight 78 Household replicate weight 78 Household replicate weight 78 Household replicate weight 78 Household replicate weight 78 All households This variable indicates the household replicate weight 78. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 79 Household replicate weight 79 Household replicate weight 79 Household replicate weight 79 Household replicate weight 79 Household replicate weight 79 All households This variable indicates the household replicate weight 79. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weight 80 Household replicate weight 80 Household replicate weight 80 Household replicate weight 80 Household replicate weight 80 Household replicate weight 80 All households This variable indicates the household replicate weight 80. Technical Household Variables -- HOUSEHOLD IPUMS Household replicate weights Household replicate weights Household replicate weights Household replicate weights Household replicate weights Household replicate weights All households This variable indicates the household replicate weights. Technical Household Variables -- HOUSEHOLD IPUMS Data quality flag for vehicle Data quality flag for vehicle Data quality flag for vehicle Data quality flag for vehicle Data quality flag for vehicle Data quality flag for vehicle All households Not allocated 4 Allocated This variable is a data quality flag for vehicle. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Country Country Country Country Country Country All households 840 United States This variable indicates the country for the household. Geography: M-Z Variables -- HOUSEHOLD IPUMS Selected monthly owner costs (US$) Selected monthly owner costs (US$) Selected monthly owner costs (US$) Selected monthly owner costs (US$) Selected monthly owner costs (US$) Selected monthly owner costs (US$) Private occupied households residing in owned dwelling This variable indicates selected monthly owner costs (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Number of subfamilies in household Number of subfamilies in household Number of subfamilies in household Number of subfamilies in household Number of subfamilies in household Number of subfamilies in household Private occupied households 0 subfamilies 1 1 subfamily 2 2 subfamilies 3 3 4 4 9 NIU (not in universe) This variable indicates the number of subfamilies in household. Constructed Household Variables -- HOUSEHOLD IPUMS Number of subfamilies in household (alt) Number of subfamilies in household (alt) Number of subfamilies in household (alt) Number of subfamilies in household (alt) Number of subfamilies in household (alt) Number of subfamilies in household (alt) Private occupied households 0 subfamilies 1 1 subfamily 2 2 subfamilies 3 3 4 4 9 NIU (not in universe) This variable indicates the number of subfamilies in household (alternative definition). Constructed Household Variables -- HOUSEHOLD IPUMS Total household income (US$) Total household income (US$) Total household income (US$) Total household income (US$) Total household income (US$) Total household income (US$) Private occupied houesholds This variable indicates the total household income (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Location of household head Location of household head Location of household head Location of household head Location of household head Location of household head All households No head identified 1 1 This variable indicates the location of the household head. Constructed Household Variables -- HOUSEHOLD IPUMS Refrigerator Refrigerator Refrigerator Refrigerator Refrigerator 8. Does this house, apartment, or mobile home have: f) A refrigerator? [] Yes [] No Private households NIU (not in universe) 1 No, no refrigerator 2 Yes This variable indicates whether the household has a refrigerator. Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS Data quality flag for fridge Data quality flag for fridge Data quality flag for fridge Data quality flag for fridge Data quality flag for fridge Data quality flag for fridge All households Not allocated 4 Allocated This variable is a data quality flag for fridge. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Sink with faucet Sink with faucet Sink with faucet Sink with faucet Sink with faucet 8. Does this house, apartment, or mobile home have: d) A sink with a faucet? [] Yes [] No Private households NIU (not in universe) 1 No, no sink with faucet 2 Yes This variable indicates whether the household has a sink with faucet. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Data quality flag for sink Data quality flag for sink Data quality flag for sink Data quality flag for sink Data quality flag for sink Data quality flag for sink All households Not allocated 4 Allocated This variable is a data quality flag for sink. Household Imputation Flags Variables -- HOUSEHOLD IPUMS Stove or range Stove or range Stove or range Stove or range Stove or range 8. Does this house, apartment, or mobile home have: e) A stove or range? [] Yes [] No Private households NIU (not in universe) 1 No, no stove or range 2 Yes This variable indicates whether the household has a stove or range. Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS Data quality flag for stove Data quality flag for stove Data quality flag for stove Data quality flag for stove Data quality flag for stove Data quality flag for stove All households Not allocated 4 Allocated This variable is a data quality flag for stove. Household Imputation Flags Variables -- HOUSEHOLD IPUMS House value (US$) House value (US$) House value (US$) House value (US$) House value (US$) 16. About how much do you think this house and lot, apartment, or mobile home (and lot, if owned) would sell for if it were for sale? Amount Dollars $____.00 Owner-occupied or vacant-for-sale housing units; not group quarters This variable indicates the house value (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Multigenerational household Multigenerational household Multigenerational household Multigenerational household Multigenerational household Multigenerational household Private occupied households NIU (not in universe) 10 1 generation 21 2 adjacent generations, adult-children 22 2 adjacent generations, adult-adult 23 2 nonadjacent generations 31 3+ generations (census 2008 definition) 32 3+ generations (additional IPUMS definition) This variable indicates a multigenerational household. Constructed Household Variables -- HOUSEHOLD IPUMS Number of bedrooms Number of bedrooms Number of bedrooms Number of bedrooms Number of bedrooms b) How many of these rooms are bedrooms? Count as bedrooms those rooms you would list if this house, apartment, or mobile home were for sale or rent. If this is an efficiency/studio apartment, print "0". Number of bedrooms: ___ Private households NIU (not in universe) 1 No bedrooms 2 1 3 2 4 3 5 4 6 5 7 6 8 7 9 8 10 9 11 10 12 11 14 13 19 18 This variable indicates the number of bedrooms. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Number of rooms Number of rooms Number of rooms Number of rooms Number of rooms 7. a) How many separate rooms are in this house, apartment, or mobile home? Rooms must be separated by built-in archways or walls that extend out at least 6 inches and go from floor to ceiling. Include bedrooms, kitchens, etc. Exclude bathrooms, porches, balconies, foyers, halls, or unfinished basements. Number of rooms: ___ Private households NIU (not in universe) 1 1 room 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 25 25 26 26 27 27 This variable indicates the number of rooms. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS American Indian, Alaska Native, or Native Hawaiian homeland area American Indian, Alaska Native, or Native Hawaiian homeland area American Indian, Alaska Native, or Native Hawaiian homeland area American Indian, Alaska Native, or Native Hawaiian homeland area American Indian, Alaska Native, or Native Hawaiian homeland area American Indian, Alaska Native, or Native Hawaiian homeland area All households 1 PUMA does not include a homeland area 2 PUMA includes a homeland area This variable indicates an American Indian, Alaska Native, or Native Hawaiian homeland area. Other Household Variables -- HOUSEHOLD IPUMS Adjustment factor, ACS/PRCS Adjustment factor, ACS/PRCS Adjustment factor, ACS/PRCS Adjustment factor, ACS/PRCS Adjustment factor, ACS/PRCS Adjustment factor, ACS/PRCS All households 1007624 1007624 This variable indicates an adjustment factor, for the ACS. Technical Household Variables -- HOUSEHOLD IPUMS CPI-U adjustment factor to 1999 dollars CPI-U adjustment factor to 1999 dollars CPI-U adjustment factor to 1999 dollars CPI-U adjustment factor to 1999 dollars CPI-U adjustment factor to 1999 dollars CPI-U adjustment factor to 1999 dollars All households 764 764 This variable indicates a CPI-U adjustment factor to 1999 dollars. Technical Household Variables -- HOUSEHOLD IPUMS Response mode Response mode Response mode Response mode Response mode Response mode Private occupied households NIU (not in universe) 1 Mail 2 Computer assisted interview (CATI/CAPI) This variable indicates the response mode (phone or computer assisted interview). Other Household Variables -- HOUSEHOLD IPUMS Appalachian region Appalachian region Appalachian region Appalachian region Appalachian region Appalachian region All households Not in Appalachia 11 Northern Applachia 12 North Central Appalachia 20 Central Appalachia 31 South Central Appalachia 32 Southern Appalachia This variable indicates whether a household is located in the Appalachian region. Geography: M-Z Variables -- HOUSEHOLD IPUMS County (precursor) County (precursor) County (precursor) County (precursor) County (precursor) County (precursor) All households 1 1 2 2 3 3 4 4 5 5 6 6 8 8 This variable indicates the household's county (precursor). Geography: M-Z Variables -- HOUSEHOLD IPUMS County County County County County County All households County not identifiable from public-use data 10 10 30 30 50 50 70 70 90 90 110 110 130 130 150 150 170 170 190 190 210 210 230 230 250 250 270 270 290 290 310 310 330 330 350 350 370 370 390 390 410 410 430 430 450 450 470 470 490 490 510 510 530 530 550 550 570 570 590 590 610 610 630 630 650 650 670 670 690 690 710 710 730 730 750 750 770 770 790 790 810 810 830 830 850 850 870 870 890 890 910 910 930 930 950 950 970 970 990 990 1010 1010 1030 1030 1050 1050 1070 1070 1090 1090 1110 1110 1130 1130 1150 1150 1170 1170 1190 1190 1210 1210 1230 1230 1250 1250 1270 1270 1290 1290 1330 1330 1350 1350 1370 1370 1390 1390 1410 1410 1430 1430 1450 1450 1470 1470 1490 1490 1510 1510 1530 1530 1550 1550 1570 1570 1590 1590 1610 1610 1630 1630 1650 1650 1670 1670 1690 1690 1770 1770 1790 1790 1830 1830 1870 1870 1890 1890 1910 1910 1930 1930 2010 2010 2090 2090 2150 2150 2450 2450 2510 2510 3030 3030 3090 3090 3290 3290 3750 3750 3810 3810 4230 4230 4410 4410 4790 4790 4850 4850 4910 4910 5100 5100 5500 5500 6500 6500 7000 7000 7100 7100 7600 7600 8100 8100 This variable indicates the household's county. Geography: M-Z Variables -- HOUSEHOLD IPUMS Number of subfamilies in household (original Census Bureau classification) Number of subfamilies in household (original Census Bureau classification) Number of subfamilies in household (original Census Bureau classification) Number of subfamilies in household (original Census Bureau classification) Number of subfamilies in household (original Census Bureau classification) Number of subfamilies in household (original Census Bureau classification) Private occupied households 0 subfamilies 1 1 subfamily 2 2 subfamilies 3 3 4 4 9 NIU (not in universe) This variable indicates the number of subfamilies in household (original Census Bureau classification). Constructed Household Variables -- HOUSEHOLD IPUMS Household weight Household weight Household weight Household weight Household weight Household weight All households This variable indicates the household weight. Technical Household Variables -- HOUSEHOLD IPUMS Public Use Microdata Area matching MIGPUMA Public Use Microdata Area matching MIGPUMA Public Use Microdata Area matching MIGPUMA Public Use Microdata Area matching MIGPUMA Public Use Microdata Area matching MIGPUMA Public Use Microdata Area matching MIGPUMA All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 66 66 67 67 68 68 77 77 81 81 82 82 777 777 This variable indicates the Public Use Microdata Area (PUMA) matching the PUMA of residence 1 year ago (MIGPUMA). Geography: M-Z Variables -- HOUSEHOLD IPUMS Household strata for variance estimation Household strata for variance estimation Household strata for variance estimation Household strata for variance estimation Household strata for variance estimation Household strata for variance estimation All households This variable indicates the household strata for variance estimation. Technical Household Variables -- HOUSEHOLD IPUMS Household cluster for variance estimation Household cluster for variance estimation Household cluster for variance estimation Household cluster for variance estimation Household cluster for variance estimation Household cluster for variance estimation All households This variable indicates the household cluster for variance estimation. Technical Household Variables -- HOUSEHOLD IPUMS Monthly contract rent (US$) Monthly contract rent (US$) Monthly contract rent (US$) Monthly contract rent (US$) Monthly contract rent (US$) 15. a) What is the monthly rent for this house, apartment, or mobile home? Monthly amount Dollars $____.00 Renter-occupied or vacant-to-rent units that rented for cash rent not group quarters NIU (not in universe) 4 4 10 10 20 20 30 30 40 40 50 50 60 60 70 70 80 80 90 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 390 390 400 400 410 410 420 420 430 430 440 440 450 450 460 460 470 470 480 480 490 490 500 500 510 510 520 520 530 530 540 540 550 550 560 560 570 570 580 580 590 590 600 600 610 610 620 620 630 630 640 640 650 650 660 660 670 670 680 680 690 690 700 700 710 710 720 720 730 730 740 740 750 750 760 760 770 770 780 780 790 790 800 800 810 810 820 820 830 830 840 840 850 850 860 860 870 870 880 880 890 890 900 900 910 910 920 920 930 930 940 940 950 950 960 960 970 970 980 980 990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2500 2500 2600 2600 2700 2700 2800 2800 2900 2900 3000 3000 3100 3100 3200 3200 3300 3300 3400 3400 3500 3500 3600 3600 3800 3800 This variable indicates the monthly contract rent (in US$). Household Economic Variables -- HOUSEHOLD IPUMS Flag for Farmprod, Farm Flag for Farmprod, Farm Flag for Farmprod, Farm Flag for Farmprod, Farm Flag for Farmprod, Farm Flag for Farmprod, Farm All households Not allocated 4 Allocated This variable is a quality flag for Farmprod, Farm . Household Imputation Flags Variables -- HOUSEHOLD IPUMS Household weight Household weight Household weight Household weight Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. Technical Household Variables -- HOUSEHOLD IPUMS United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS] United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS] United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS] United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS] United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS] 840001 Alabama 840002 Alaska 840004 Arizona 840005 Arkansas 840006 California 840008 Colorado 840009 Connecticut 840010 Delaware 840011 District of Columbia 840012 Florida 840013 Georgia 840015 Hawaii 840016 Idaho 840017 Illinois 840018 Indiana 840019 Iowa 840020 Kansas 840021 Kentucky 840022 Louisiana 840023 Maine 840024 Maryland 840025 Massachusetts 840026 Michigan 840027 Minnesota 840028 Mississippi 840029 Missouri 840030 Montana 840031 Nebraska 840032 Nevada 840033 New Hampshire 840034 New Jersey 840035 New Mexico 840036 New York 840037 North Carolina 840038 North Dakota 840039 Ohio 840040 Oklahoma 840041 Oregon 840042 Pennsylvania 840044 Rhode Island 840045 South Carolina 840046 South Dakota 840047 Tennessee 840048 Texas 840049 Utah 840050 Vermont 840051 Virginia 840053 Washington 840054 West Virginia 840055 Wisconsin 840056 Wyoming 840099 State not identified GEO1_US identifies the household's state within the United States in all sample years. States are the first level administrative units of the country. GEO1_US is spatially harmonized to account for political boundary changes across census years; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_US can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for the United States. Year specific geography and maps will become available in the near future. Geography: M-Z Variables -- HOUSEHOLD IPUMS Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). Constructed Household Variables -- HOUSEHOLD IPUMS Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). Constructed Household Variables -- HOUSEHOLD IPUMS Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). Constructed Household Variables -- HOUSEHOLD IPUMS Country Country Country Country Country 32 Argentina 40 Austria 50 Bangladesh 51 Armenia 68 Bolivia 76 Brazil 112 Belarus 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 214 Dominican Republic 218 Ecuador 222 El Salvador 231 Ethiopia 242 Fiji 250 France 275 Palestine 276 Germany 288 Ghana 300 Greece 324 Guinea 332 Haiti 348 Hungary 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 430 Liberia 454 Malawi 458 Malaysia 466 Mali 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 586 Pakistan 591 Panama 600 Paraguay 604 Peru 608 Philippines 620 Portugal 630 Puerto Rico 642 Romania 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 704 Vietnam 705 Slovenia 710 South Africa 724 Spain 728 South Sudan 729 Sudan 756 Switzerland 764 Thailand 792 Turkey 800 Uganda 804 Ukraine 818 Egypt 826 United Kingdom 834 Tanzania 840 United States 854 Burkina Faso 858 Uruguay 862 Venezuela 894 Zambia COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). Technical Household Variables -- HOUSEHOLD IPUMS Number of bedrooms Number of bedrooms Number of bedrooms Number of bedrooms Number of bedrooms No bedrooms 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) BEDROOMS indicates the number of rooms available to members of the household for sleeping. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Year structure was built Year structure was built Year structure was built Year structure was built Year structure was built NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 9998 Under construction 9999 Unknown BUILTYR indicates the year in which construction was completed on the building in which the household resides. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Age of structure, coded from intervals Age of structure, coded from intervals Age of structure, coded from intervals Age of structure, coded from intervals Age of structure, coded from intervals Less than 1 year old 1 1 year 2 2 years 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 998 Unknown 999 NIU (not in universe) AGESTRUCT2 gives the estimated age of the structure. Dwelling Characteristics Variables -- HOUSEHOLD IPUMS Ownership of dwelling [general version] Ownership of dwelling [general version] Ownership of dwelling [general version] Ownership of dwelling [general version] Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. Household Economic Variables -- HOUSEHOLD IPUMS Ownership of dwelling [detailed version] Ownership of dwelling [detailed version] Ownership of dwelling [detailed version] Ownership of dwelling [detailed version] Ownership of dwelling [detailed version] NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 290 Not owned, other 999 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. Household Economic Variables -- HOUSEHOLD IPUMS Fuel for heating Fuel for heating Fuel for heating Fuel for heating Fuel for heating NIU (not in universe) 1 None 2 Electricity 3 Fuel oil, kerosene, other liquid fuels 4 Kerosene/paraffin 5 Diesel 6 Gas 7 Bottled gas, in tank, liquified 8 Solid fuel 9 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Other 16 Multiple sources 99 Unknown FUELHEAT indicates the main fuel source for heating the household. Utilities Variables -- HOUSEHOLD IPUMS Hot water heater Hot water heater Hot water heater Hot water heater Hot water heater NIU (not in universe) 1 No 2 Yes 9 Unknown/missing HOTWATER indicates whether the housing unit had a water heater. Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS Person number Person number Person number Person number Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. Technical Person Variables -- PERSON IPUMS Marital status [general version] Marital status [general version] Marital status [general version] Marital status [general version] Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing [program universe for et,mz samples. MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. Demographic Variables -- PERSON IPUMS Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 360 Married, spouse absent 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing [program universe for et,mz samples. MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. Demographic Variables -- PERSON IPUMS Year of birth Year of birth Year of birth Year of birth Year of birth NIU (not in universe) 1843 1843 1845 1845 1850 1850 1853 1853 1854 1854 1856 1856 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 9999 Unknown BIRTHYR gives the person's year of birth. Demographic Variables -- PERSON IPUMS Age Age Age Age Age Less than 1 year 1 1 year 2 2 years 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. Demographic Variables -- PERSON IPUMS Sex Sex Sex Sex Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. Demographic Variables -- PERSON IPUMS Number of marriages or unions Number of marriages or unions Number of marriages or unions Number of marriages or unions Number of marriages or unions NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 Unknown MARRNUM records the number of marital unions the respondent has ever been in. Demographic Variables -- PERSON IPUMS State of birth, United States State of birth, United States State of birth, United States State of birth, United States State of birth, United States 1 Alabama 2 Alaska 4 Arizona 5 Arkansas 6 California 8 Colorado 9 Connecticut 10 Delaware 11 District of Columbia 12 Florida 13 Georgia 15 Hawaii 16 Idaho 17 Illinois 18 Indiana 19 Iowa 20 Kansas 21 Kentucky 22 Louisiana 23 Maine 24 Maryland 25 Massachusetts 26 Michigan 27 Minnesota 28 Mississippi 29 Missouri 30 Montana 31 Nebraska 32 Nevada 33 New Hampshire 34 New Jersey 35 New Mexico 36 New York 37 North Carolina 38 North Dakota 39 Ohio 40 Oklahoma 41 Oregon 42 Pennsylvania 44 Rhode Island 45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah 50 Vermont 51 Virginia 53 Washington 54 West Virginia 55 Wisconsin 56 Wyoming 60 United States, n.s. 98 Foreign-born BPLUS indicates the person's state of birth within the United States. Nativity and Birthplace Variables -- PERSON IPUMS Citizenship Citizenship Citizenship Citizenship Citizenship 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) CITIZEN indicates the person's citizenship status within the country in which they were enumerated. Nativity and Birthplace Variables -- PERSON IPUMS Year of immigration Year of immigration Year of immigration Year of immigration Year of immigration NIU (not in universe) 1872 1872 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 9998 In transit 9999 Unknown YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. Nativity and Birthplace Variables -- PERSON IPUMS Years since immigrated Years since immigrated Years since immigrated Years since immigrated Years since immigrated 0 (within previous year) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97+ 98 Unknown 99 NIU (not in universe) YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration. Nativity and Birthplace Variables -- PERSON IPUMS Years since immigrated, categorized Years since immigrated, categorized Years since immigrated, categorized Years since immigrated, categorized Years since immigrated, categorized 1 Less than 1 year 2 1 to 4 years 3 5 to 9 years 4 10 or more years 8 Unknown 9 NIU (not in universe) YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals. Nativity and Birthplace Variables -- PERSON IPUMS Race or color Race or color Race or color Race or color Race or color 10 White 20 Black 21 Black African 22 Black Caribbean 23 Afro-Ecuadorian 24 Other Black 30 Indigenous 31 American Indian 40 Asian 41 Chinese 42 Japanese 43 Korean 44 Vietnamese 45 Filipino 46 Indian 47 Pakistani 48 Bangladeshi 49 Other Asian 50 Mixed race 51 Brown (Brazil) 52 Mestizo (Indigenous and White) 53 Mulatto (Black and White) 54 Coloured (South Africa) 55 Two or more races 60 Other 61 Montubio (Ecuador) 99 Unknown Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin. Ethnicity and Language Variables -- PERSON IPUMS Race, United States Race, United States Race, United States Race, United States Race, United States 100 White 200 Black 300 American Indian/Alaska Native, not specified 301 Alaskan Athabaskan 302 Apache 303 Blackfoot 304 Cherokee 305 Cheyenne 306 Chickasaw 307 Chippewa 308 Choctaw 309 Comanche 310 Creek 311 Crow 312 Iroquois 313 Kiowa 314 Lumbee 315 Navajo 316 Osage 317 Paiute 318 Pima 319 Potawatomi 320 Pueblo 321 Seminole 322 Shoshone 323 Sioux 324 Tlingit (Tlingit-Haida, 2000-2005) 325 Tohono O''Odham 326 All other tribes 327 AIAN, tribe not specified 330 Aleut 340 Eskimo 350 Delaware 351 Latin American Indian 352 Puget Sound Salish 353 Yakama 354 Yaqui 355 Colville 356 Houma 357 Menominee 358 Yuman 390 Other Specified Indian tribe (2000-2005) 391 Two or more Indian tribes (2000-2005) 392 Other Alaskan tribe(s) (2000-2005) 393 Both Indian and Alaskan (2000-2005) 394 Tribal responses, n.e.c. 400 Chinese 410 Taiwanese 420 Chinese and Taiwanese 500 Japanese 600 Filipino 610 Asian Indian 620 Korean 630 Native Hawaiian 640 Vietnamese 660 Cambodian 661 Hmong 662 Laotian 663 Thai 664 Bangladeshi 665 Burmese 666 Indonesian 667 Malaysian 668 Okinawan 669 Pakistani 670 Sri Lankan 671 All other Asian, n.e.c. 672 Asian, not specified 673 Chinese and Japanese 674 Chinese and Filipino 675 Chinese and Vietnamese 676 Chinese and Asian write-in 677 Japanese and Filipino 678 Asian Indian and Asian write-in 679 Other Asian race combinations 680 Samoan 681 Tahitian 682 Tongan 684 One or more other Polynesian races (2000-2005) 685 Guamanian/Chamorro 686 Northern Mariana Islander 687 Palauan 688 Other Micronesian 689 One or more other Micronesian races (2000-2005) 690 Fijian 691 Other Melanesian 692 One or more Melanesian races (2000-2005) 698 Two or more PI races from multiple regions 699 Pacific Islander (PI), n.s. 700 Other race, n.e.c. 800 Two or more races RACEUS identifies the "race" of the respondent in the United States. Race is a social construct, not a scientific or anthropological concept. Many detailed categories consist of national origin groups. Ethnicity and Language Variables -- PERSON IPUMS Member of an indigenous group Member of an indigenous group Member of an indigenous group Member of an indigenous group Member of an indigenous group NIU (not in universe) 1 Yes 2 No 9 Unknown INDIG indicates whether the person belonged to an indigenous group. Ethnicity and Language Variables -- PERSON IPUMS Ancestry, U.S. and Puerto Rico Ancestry, U.S. and Puerto Rico Ancestry, U.S. and Puerto Rico Ancestry, U.S. and Puerto Rico Ancestry, U.S. and Puerto Rico 1 Alsatian 2 Andorran 3 Austrian 4 Tirolean 5 Basque 6 French Basque 8 Belgian 9 Flemish 10 Walloon 11 British 12 British Isles 13 Channel Islander 14 Gibraltan 15 Cornish 16 Corsican 17 Cypriot 18 Greek Cypriote 19 Turkish Cypriote 20 Danish 21 Dutch 22 English 23 Faeroe Islander 24 Finnish 25 Karelian 26 French 27 Lorrainian 28 Breton 29 Frisian 30 Friulian 32 German (1980) 33 Bavarian 34 Berliner 35 Hamburger 36 Hanoverian 37 Hessian 38 Lubecker 39 Pomeranian (1980) 40 Prussian 41 Saxon 42 Sudetenlander 43 Westphalian 46 Greek 47 Cretan 48 Cycladic Islander 49 Icelander 50 Irish 51 Italian (1980) 53 Abruzzi 54 Apulian 55 Basilicata 56 Calabrian 57 Amalfi 58 Emilia Romagna 59 Rome 60 Ligurian 61 Lombardian 62 Marches 63 Molise 64 Neapolitan 65 Piedmontese 66 Puglia 67 Sardinian 68 Sicilian 69 Tuscan 70 Trentino 71 Umbrian 72 Valle d"Aosta 73 Venetian 75 Lapp 76 Liechtensteiner 77 Luxemburger 78 Maltese 79 Manx 80 Monegasque 81 Northern Irelander 82 Norwegian 84 Portuguese 85 Azorean 86 Madeiran 87 Scotch Irish (1990) 88 Scottish 89 Swedish 90 Aland Islander 91 Swiss 92 Suisse (1980) 95 Romansch (1980) 96 Suisse Romane (1990) 97 Welsh 98 Scandinavian, Nordic 100 Albanian 101 Azerbaijani 102 Belorussian 103 Bulgarian 105 Carpathian 108 Cossack (1990) 109 Croatian 111 Czechoslovakian 112 Bohemian 115 Estonian 116 Livonian 117 Finno Ugrian (1990) 118 Mordovian 119 Voytak 120 Georgian (1980) 122 Germans from Russia: 123 Gruziia (1990) 124 Rom 125 Hungarian 126 Magyar 128 Latvian 129 Lithuanian 130 Macedonian 132 North Caucasian (1990) 133 North Caucasian Turkic (1990) 140 Ossetian 142 Polish 143 Kashubian 144 Romanian (1990) 145 Bessarabian (1980) 146 Moldavian 147 Wallachian 148 Russian 150 Muscovite 152 Serbian (1980) 153 Slovak 154 Slovene 155 Sorb/Wend 156 Soviet Turkic (1990) 157 Bashkir 158 Chevash 159 Gagauz (1990) 160 Mesknetian (1990) 163 Yakut 164 Soviet Union, n.e.c. (1990) 165 Tatar (1990) 169 Uzbek 171 Ukrainian (1980) 176 Yugoslavian 178 Slav 179 Slavonian (1990) 181 Central European, n.e.c. 183 Northern European, n.e.c. 185 Southern European, n.e.c. 187 Western European, n.e.c. 190 Eastern European, n.e.c. 195 European, n.e.c. 200 Spaniard (1980) 201 Andalusian (1990) 202 Asturian (1990) 204 Catalonian 205 Balearic Islander (1980) 206 Galician (1980) 210 Mexican (1980) 211 Mexican American 213 Chicano/Chicana 218 Nuevo Mexicano (1980) 219 Californio 221 Costa Rican 222 Guatemalan 223 Honduran 224 Nicaraguan 225 Panamanian (1980) 226 Salvadoran 227 Latin American (1980) 231 Argentinean 232 Bolivian 233 Chilean 234 Colombian 235 Ecuadorian 236 Paraguayan 237 Peruvian 238 Uruguayan 239 Venezuelan 248 South American (1980) 261 Puerto Rican 271 Cuban 275 Dominican 290 Hispanic 291 Spanish 295 Spanish American 296 Other Spanish/Hispanic 300 Bahamian 301 Barbadian 302 Belizean 303 Bermudan 304 Cayman Islander 308 Jamaican 310 Dutch West Indies 311 Aruba Islander 312 St. Maarten Islander 314 Trinidadian/Tobagonian 315 Trinidadian 316 Tobagonian 317 U.S. Virgin Islander (1980) 321 British Virgin Islander(1980) 322 British West Indian 323 Turks and Caicos Islander 324 Anguilla Islander (1980) 328 Dominica Islander 329 Grenadian 331 St. Lucia Islander 332 French West Indies 333 Guadeloupe Islander 334 Cayenne 335 West Indian (1990) 336 Haitian 337 Other West Indian 360 Brazilian 365 San Andres 370 Guyanese/British Guiana 375 Providencia 380 Surinam/Dutch Guiana 400 Algerian 402 Egyptian 404 Libyan 406 Moroccan (1990) 407 Ifni 408 Tunisian 411 North African 412 Alhucemas 413 Berber 414 Rio de Oro 415 Bahraini 416 Iranian 417 Iraqi 419 Israeli 421 Jordanian 422 Transjordan 423 Kuwaiti 425 Lebanese 427 Saudi Arabian 429 Syrian (1990) 431 Armenian 434 Turkish 435 Yemeni 436 Omani 437 Muscat 438 Trucial Oman 439 Qatar 441 Bedouin 442 Kurdish 444 Kuria Muria Islander 465 Palestinian 466 Gazan 467 West Bank 470 South Yemeni 471 Aden 480 United Arab Emirates 482 Assyrian/Chaldean/Syriac 490 Middle Eastern 495 Arab 496 Other Arab 500 Angolan 502 Benin 504 Botswana 506 Burundian 508 Cameroonian 510 Cape Verdean 512 Central African Republic 513 Chadian 515 Congolese 516 Congo-Brazzaville 519 Djibouti 520 Equatorial Guinea 521 Corsico Islander 522 Ethiopian 523 Eritrean 525 Gabonese 527 Gambian 529 Ghanian 530 Guinean 531 Guinea Bissau 532 Ivory Coast 534 Kenyan 538 Lesotho 541 Liberian 543 Madagascan 545 Malawian (1990) 546 Malian 547 Mauritanian 549 Mozambican 550 Namibian 551 Niger 553 Nigerian 554 Fulani 555 Hausa 556 Ibo 557 Tiv (1980) 561 Rwandan 564 Senegalese 566 Sierra Leonean 568 Somalian 569 Swaziland 570 South African 571 Union of South Africa 572 Afrikaner 573 Natalian 574 Zulu 576 Sudanese 577 Dinka 578 Nuer 579 Fur 580 Baggara 582 Tanzanian 583 Tanganyikan 584 Zanzibar Islande 586 Togo 588 Ugandan 589 Upper Voltan 590 Volta 591 Zairian 592 Zambian 593 Zimbabwean 594 African Islands (1980) 595 Other Subsaharan Africa 596 Central African 597 East African 598 West African 599 African 600 Afghan 601 Baluchi 602 Pathan 603 Bengali (1980) 607 Bhutanese 609 Nepali 615 Asian Indian (1980) 622 Andaman Islander 624 Andhra Pradesh 626 Assamese 628 Goanese 630 Gujarati 632 Karnatakan 634 Keralan 638 Maharashtran 640 Madrasi 642 Mysore 644 Naga 648 Pondicherry 650 Punjabi 656 Tamil 675 East Indies (1990) 680 Pakistani (1980) 690 Sri Lankan 691 Singhalese 692 Veddah 695 Maldivian 700 Burmese (1990) 702 Shan 703 Cambodian 704 Khmer 706 Chinese 707 Cantonese (1980) 708 Manchurian 709 Mandarin (1990) 712 Mongolian (1980) 714 Tibetan 716 Hong Kong (1990) 718 Macao 720 Filipino 730 Indonesian (1980) 740 Japanese (1980) 746 Ryukyu Islander 748 Okinawan 750 Korean 765 Laotian 766 Meo 768 Hmong 770 Malaysian (1980) 774 Singaporean 776 Thai 777 Black Thai 778 Western Lao 782 Taiwanese 785 Vietnamese 786 Katu 787 Ma 788 Mnong 790 Montagnard 792 Indochinese 793 Eurasian 795 Asian 796 Other Asian 800 Australian 801 Tasmanian 802 Australian Aborigine (1990) 803 New Zealander 808 Polynesian (1990) 809 Kapinagamarangan (1990) 810 Maori 811 Hawaiian 813 Part Hawaiian 814 Samoan (1990) 815 Tongan 816 Tokelauan 817 Cook Islander 818 Tahitian 819 Niuean 820 Micronesian (1990) 821 Guamanian 822 Chamorro Islander 823 Saipanese (1990) 824 Palauan 825 Marshall Islander 826 Kosraean 827 Ponapean (1990) 828 Chuukese (1990) 829 Yap Islander 830 Caroline Islander (1990) 831 Kiribatese 832 Nauruan 833 Tarawa Islander (1990) 834 Tinian Islander (1990) 840 Melanesian Islander 841 Fijian 843 New Guinean 844 Papuan 845 Solomon Islander 846 New Caledonian Islander 847 Vanuatuan 850 Pacific Islander (1990) 860 Oceania 862 Chamolinian (1990) 863 Reserved Codes 870 Other Pacific 900 Afro-American (1980) 902 African-American (1990) 913 Central American Indian (1990) 914 South American Indian (1990) 920 American Indian (all tribes) 921 Aleut 922 Eskimo 923 Inuit 924 White/Caucasian (1980) 930 Greenlander 931 Canadian 933 Newfoundland 934 Nova Scotian 935 French Canadian 936 Acadian (1980) 939 American 940 United States 941 Alabama 942 Alaska 943 Arizona 944 Arkansas 945 California 946 Colorado 947 Connecticut 948 District of Columbia 949 Delaware 950 Florida 951 Georgia 952 Idaho 953 Illinois 954 Indiana 955 Iowa 956 Kansas 957 Kentucky 958 Louisiana 959 Maine 960 Maryland 961 Massachusetts 962 Michigan 963 Minnesota 964 Mississippi 965 Missouri 966 Montana 967 Nebraska 968 Nevada 969 New Hampshire 970 New Jersey 971 New Mexico 972 New York 973 North Carolina 974 North Dakota 975 Ohio 976 Oklahoma 977 Oregon 978 Pennsylvania 979 Rhode Island 980 South Carolina 981 South Dakota 982 Tennessee 983 Texas 984 Utah 985 Vermont 986 Virginia 987 Washington 988 West Virginia 989 Wisconsin 990 Wyoming 993 Southerner 994 North American 995 Mixture 996 Uncodable 997 Deferred cases 998 Other 999 Not reported ANCEST identifies the person's self-reported ancestry or ethnic origin in the United States and Puerto Rico. Ethnicity and Language Variables -- PERSON IPUMS Hispanic origin, U.S. and Puerto Rico Hispanic origin, U.S. and Puerto Rico Hispanic origin, U.S. and Puerto Rico Hispanic origin, U.S. and Puerto Rico Hispanic origin, U.S. and Puerto Rico Not hispanic 100 Mexican 101 Mexican, n.e.c. 102 Mexican American 103 Mexicano/Mexicana 104 Chicano/Chicana 105 La Raza 106 Mexican American Indian 107 Mexico 200 Puerto Rican 300 Cuban 400 Other Spanish, 1980 410 Central/South American, 1970 411 Costa Rican 412 Guatemalan 413 Honduran 414 Nicaraguan 415 Panamanian 416 Salvadoran 417 Central American 418 Central American Indian 419 Canal Zone 420 Argentinean 421 Bolivian 422 Chilean 423 Colombian 424 Ecuadorian 425 Paraguayan 426 Peruvian 427 Uruguayan 428 Venezuelan 429 South American Indian 430 Criollo 431 South American 440 Other Spanish, 1970 450 Spaniard 451 Andalusian 452 Asturian 453 Castillian 454 Catalonian 455 Balearic Islander 456 Gallego 457 Valencian 458 Canarian 459 Spanish Basque 460 Dominican 465 Latin American 470 Hispanic 480 Spanish 490 Californio 491 Tejano 492 Nuevo Mexicano 493 Spanish American 494 Spanish American Indian 495 Meso American Indian 496 Mestizo 497 Other Spanish, Hispanic, Latino 498 Not specified (FOSDIC) 499 Not classified 999 Not reported HISPAN identifies and classifies persons of Hispanic origin in the United States and Puerto Rico. Ethnicity and Language Variables -- PERSON IPUMS Language spoken at home, United States Language spoken at home, United States Language spoken at home, United States Language spoken at home, United States Language spoken at home, United States NIU (not in universe) 1 English 2 Jamaican Creole 3 Krio, Pidgin Krio 4 Hawaiian Pidgin 5 Pidgin 6 Gullah, Geechee 7 Saramacca 8 German 9 Luxembourgian 10 Pennsylvania Dutch 11 Yiddish, Jewish 12 Dutch 13 Afrikaans 14 Frisian 15 Swedish 16 Danish 17 Norwegian 18 Icelandic 19 Faroese 20 Italian 21 Rhaeto-Romanic, Ladin 22 French 23 Provencal 24 Patois 25 French or Haitian Creole 26 Cajun 27 Spanish 28 Catalonian, Valencian 29 Ladino, Sefaradit, Spanol 30 Pachuco 31 Papia Mentae 32 Portuguese 33 Rumanian 34 Irish Gaelic, Gaelic 35 Scottish Gaelic 36 Welsh 37 Greek 38 Albanian 39 Russian 40 Bielo-, White Russian 41 Ukrainian, Ruthenian, Little Russian 42 Czech 43 Polish 44 Kashubian, Slovincian 45 Slovak 46 Serbo-Croatian, Yugoslavian, Slavonian 47 Croatian 48 Serbian 49 Slovene 50 Lithuanian 51 Lettish 52 Bulgarian 53 Lusatian, Sorbian, Wendish 54 Macedonian 55 Armenian 56 Persian, Iranian, Farssi 57 Pashto, Afghan 58 Kurdish 59 Balochi 60 Tadzhik 61 Ossete 62 Hindi 63 Sanskrit 64 Urdu 65 Bengali 66 Panjabi 67 Marathi 68 Gujarathi 69 Bihari 70 Rajasthani 71 Oriya 72 Assamese 73 Kashmiri 74 Sindhi 75 Maldivian 76 Sinhalese 77 Kannada 78 India n.e.c. 79 Pakistan n.e.c. 80 Estonian 81 Other Indo-European languages 82 Romany, Gypsy 83 Finnish 84 Magyar, Hungarian 85 Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Um 86 Other Uralic 87 Turkish 88 Kirghiz 89 Chuvash 90 Karakalpak 91 Kazakh 92 Karachay, Tatar, Balkar, Bashkir, Kumyk 93 Uzbek, Uighur 94 Azerbaijani 95 Mongolian 96 Tungus 97 Caucasian, Georgian, Avar 98 Basque 99 Dravidian 100 Brahui 101 Gondi 102 Telugu 103 Malayalam 104 Tamil 105 Bhili 106 Nepali 107 Kurukh 108 Munda 109 Burushaski 110 Chinese 111 Cantonese 112 Mandarin 113 Hakka, Fukien, K'echia 114 Kan, Nan Chang 115 Fuchow, Min Pei 116 Wu 117 Tibetan 118 Hsiang, Chansa, Hunan, Iyan 119 Miao-Yao, Mien 120 Miao, Hmong 121 Burmese, Lisu, Lolo 122 Karen 123 Kachin 124 Thai 125 Laotian 126 Japanese 127 Korean 128 Vietnamese 129 Ainu 130 Mon-Khmer, Cambodian 131 Yukagir 132 Muong 133 Indonesian 134 Buginese 135 Achinese 136 Balinese 137 Madurese 138 Cham 139 Malay 140 Minangkabau 141 Other Asian languages 142 Formosan, Taiwanese 143 Javanese 144 Malagasy 145 Sundanese 146 Filipino, Tagalog 147 Bisayan 148 Sebuano 149 Pangasinan 150 Llocano, Hocano 151 Bikol 152 Pampangan 153 Gorontalo 154 Palau 155 Micronesian 156 Carolinian 157 Chamorro, Guamanian 158 Gilbertese 159 Kusaiean 160 Marshallese 161 Mokilese 162 Nauruan 163 Ponapean 164 Trukese 165 Ulithean, Fais 166 Woleai-Ulithi 167 Yapese 168 Melanesian 169 Polynesian 170 Samoan 171 Tongan 172 Other Pacific Island languages 173 Tokelauan 174 Fijian 175 Marquesan 176 Rarotongan 177 Maori 178 Nukuoro, Kapingarangan 179 Hawaiian 180 Arabic 181 Syriac, Aramaic, Chaldean 182 Hebrew, Israeli 183 Amharic, Ethiopian, etc. 184 Berber 185 Chadic, Hamitic, Hausa 186 Cushite, Beja, Somali 187 Nilotic 188 Nilo-Hamitic 189 Nubian 190 Saharan 191 Nilo-Saharan, Fur, Songhai 192 Khoisan 193 Sudanic 194 Bantu (many subheads) 195 Swahili 196 Mande 197 Fulani 198 Gur 199 Kru 200 Efik, Ibibio, Tiv 201 Mbum, Gbaya, Sango, Zande 202 Other specified African languages 203 African, n.s. 204 Aleut, Eskimo 205 Apache 206 Other Algonquin languages 207 Inupik, Innuit 208 St Lawrence Isl Yupik 209 Yupik 210 Algonquian 211 Arapaho 212 Atsina, Gros Ventre 213 Blackfoot 214 Cheyenne 215 Cree 216 Delaware, Lenni-Lenape 217 Fox, Sac 218 Kickapoo 219 Menomini 220 Metis, French Cree 221 Miami 222 Micmac 223 Ojibwa, Chippewa 224 Ottawa 225 Passamaquoddy, Malecite 226 Penobscot 227 Potawatomi 228 Shawnee 229 Salish, Flathead 230 Clallam 231 Coeur d'Alene, Skitsamish 232 Columbia, Chelan, Wenatchee 233 Nootsack 234 Okanogan 235 Puget Sound Salish 236 Kalispel 237 Spokane 238 Athapascan 239 Han 240 Koyukon 241 Kuchin 242 Tanaina 243 Chasta Costa, Chetco, Coquille, Smith River Ath 244 Hupa 245 Apache 246 Jicarilla, Lipan 247 Chiricahua, Mescalero 248 San Carlos, Cibecue, White Mountain 249 Kiowa-Apache 250 Kiowa 251 Navajo 252 Klamath, Modoc 253 Nez Perce 254 Sahaptian, Celilo, Klikitat, Palouse, Tenino, U 255 Mountain Maidu, Maidu 256 Sierra Miwok, Miwok 257 Wintun 258 Foothill North Yokuts 259 Tachi 260 Siuslaw, Coos, Lower Umpqua 261 Tsimshian 262 Upper Chinook, Clackamas, Multnomah, Wasco, Wis 263 Chinook Jargon 264 Zuni 265 Yuman 266 Cocomaricopa 267 Mohave 268 Diegueno 269 Delta River Yuman 270 Havasupai 271 Walapai 272 Yavapai 273 Achumawi 274 Karok 275 Pomo 276 Washo 277 Crow, Absaroke 278 Hidatsa 279 Mandan 280 Dakota, Lakota, Nakota, Sioux 281 Chiwere 282 Winnebago 283 Omaha 284 Osage 285 Ponca 286 Alabama 287 Choctaw, Chickasaw 288 Mikasuki 289 Koasati 290 Muskogee, Creek, Seminole 291 Keres 292 Iroquoian 293 Mohawk 294 Oneida 295 Onondaga 296 Cayuga 297 Seneca 298 Tuscarora 299 Cherokee 300 Yupik 301 Algonquian 302 Choctaw, Chickasaw 303 Caddoan 304 Arikara 305 Pawnee 306 Wichita 307 Comanche 308 Mono, Owens Valley Paiute 309 Paiute 310 Chemehuevi 311 Ute 312 Shoshoni 313 Hopi 314 Cahuilla 315 Luiseno 316 Pima, Papago 317 Yaqui 318 Aztecan, Mexicano, Nahua 319 Picuris, Northern Tiwa, Taos 320 Tiwa, Isleta 321 Sandia 322 Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan, 323 Towa 324 Yurok 325 Makah 326 Kutenai 327 Haida 328 Tlingit, Chilkat, Sitka, Tongass, Yakutat 329 Yuchi 330 Misumalpan 331 Mayan languages 332 Tarascan 333 Mapuche 334 Oto-Manguen 335 Quechua 336 Arawakian 337 Chibchan 338 Tupi-Guarani 339 American Indian, ns 340 Other specified American Indian languages 341 South/Central American Indian 998 Other nec This variable indicates the language that the respondent speaks at home in the United States and Puerto Rico. Ethnicity and Language Variables -- PERSON IPUMS School attendance School attendance School attendance School attendance School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. Education Variables -- PERSON IPUMS Activity status (employment status) [general version] Activity status (employment status) [general version] Activity status (employment status) [general version] Activity status (employment status) [general version] Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". Work Variables -- PERSON IPUMS Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work/disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". Work Variables -- PERSON IPUMS Occupation, ISCO general Occupation, ISCO general Occupation, ISCO general Occupation, ISCO general Occupation, ISCO general 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales 6 Skilled agricultural and fishery workers 7 Crafts and related trades workers 8 Plant and machine operators and assemblers 9 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. Work Variables -- PERSON IPUMS Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. Work Variables -- PERSON IPUMS Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. Work Variables -- PERSON IPUMS Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White and blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. Work Variables -- PERSON IPUMS Blind or vision-impaired Blind or vision-impaired Blind or vision-impaired Blind or vision-impaired Blind or vision-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISBLND indicates whether the person was blind or had limited vision. Disability Variables -- PERSON IPUMS Deaf or hearing-impaired Deaf or hearing-impaired Deaf or hearing-impaired Deaf or hearing-impaired Deaf or hearing-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISDEAF indicates whether the person was deaf or had limited hearing. Disability Variables -- PERSON IPUMS Mental disability Mental disability Mental disability Mental disability Mental disability NIU (not in universe) 1 Yes 2 No 9 Unknown DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. Disability Variables -- PERSON IPUMS Personal care limitation Personal care limitation Personal care limitation Personal care limitation Personal care limitation NIU (not in universe) 1 Yes, personal care limitation 2 No personal care limitation 9 Unknown DISCARE indicates whether the respondent had any permanent condition that made it difficult for him/her to take care of their personal needs. Disability Variables -- PERSON IPUMS Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). Demographic Variables -- PERSON IPUMS Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling of sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). Demographic Variables -- PERSON IPUMS Educational attainment, United States Educational attainment, United States Educational attainment, United States Educational attainment, United States Educational attainment, United States NIU (not in universe) 100 None or preschool 101 None 102 Nursery school 103 Kindergarten 200 Grades 1 to 4 201 Grade 1 202 Grade 2 203 Grade 3 204 Grade 4 300 Grades 5 to 8 301 Grade 5 302 Grade 6 303 Grade 7 304 Grade 8 400 Grade 9 500 Grade 10 600 Grade 11 700 Grade 12 701 Grade 12, no diploma 702 High school graduate or equivalency degree 703 High school diploma 704 Graduate equivalency diploma (GED) 800 Post-secondary 810 Post-secondary: years of schooling (1960-1980) 811 1 year of college 812 2 years of college 813 3 years of college 814 4 years of college 815 5 years of college 816 6 years of college (6+ years, 1960-1970) 817 7 years of college 818 8+ years of college (1980) 820 Post-secondary: degree (1990-2010) 821 Some college, no degree 822 Associate degree, occupational 823 Associate degree, academic 824 Associate dregree, type not specified 825 Bachelors degree 826 Masters degree 827 Professional degree 828 Doctorate degree EDUCUS indicates the highest educational level that the person had completed at the time of the census. Education Variables -- PERSON IPUMS Occupation 1950 basis, U.S. Occupation 1950 basis, U.S. Occupation 1950 basis, U.S. Occupation 1950 basis, U.S. Occupation 1950 basis, U.S. Accountants and auditors 1 Actors and actresses 2 Airplane pilots and navigators 3 Architects 4 Artists and art teachers 5 Athletes 6 Authors 7 Chemists 8 Chiropractors 9 Clergymen 10 College presidents and deans 12 Agricultural sciences 13 Biological sciences 14 Chemistry 15 Economics 16 Engineering 17 Geology and geophysics 18 Mathematics 19 Medical sciences 23 Physics 24 Psychology 25 Statistics 26 Natural science (n.e.c.) 27 Social sciences (n.e.c.) 28 Nonscientific subjects 29 Subject not specified 31 Dancers and dancing teachers 32 Dentists 33 Designers 34 Dieticians and nutritionists 35 Draftsmen 36 Editors and reporters 41 Engineers, aeronautical 42 Engineers, chemical 43 Engineers, civil 44 Engineers, electrical 45 Engineers, industrial 46 Engineers, mechanical 47 Engineers, metallurgical, metallurgists 48 Engineers, mining 49 Engineers (n.e.c.) 51 Entertainers (n.e.c.) 52 Farm and home management advisors 53 Foresters and conservationists 54 Funeral directors and embalmers 55 Lawyers and judges 56 Librarians 57 Musicians and music teachers 58 Nurses, professional 59 Nurses, student professional 61 Agricultural scientists 62 Biological scientists 63 Geologists and geophysicists 67 Mathematicians 68 Physicists 69 Miscellaneous natural scientists 70 Optometrists 71 Osteopaths 72 Personnel and labor relations workers 73 Pharmacists 74 Photographers 75 Physicians and surgeons 76 Radio operators 77 Recreation and group workers 78 Religious workers 79 Social and welfare workers, except group 81 Economists 82 Psychologists 83 Statisticians and actuaries 84 Miscellaneous social scientists 91 Sports instructors and officials 92 Surveyors 93 Teachers (n.e.c.) 94 Technicians, medical and dental 95 Technicians, testing 96 Technicians (n.e.c.) 97 Therapists and healers (n.e.c.) 98 Veterinarians 99 Professional, technical and kindred workers (n.e.c.) 100 Farmers (owners and tenants) 123 Farm managers 200 Buyers and department heads, store 201 Buyers and shippers, farm products 203 Conductors, railroad 204 Credit men 205 Floormen and floor managers, store 210 Inspectors, public administration 230 Managers and superintendents, building 240 Officers, pilots, pursers and engineers, ship 250 Officials and administrators (n.e.c.), public administration 260 Officials, lodge, society, union, etc. 270 Postmasters 280 Purchasing agents and buyers (n.e.c.) 290 Managers, officials, and proprietors (n.e.c.) 300 Agents (n.e.c.) 301 Attendants and assistants, library 302 Attendants, physician's and dentist's office 304 Baggagemen, transportation 305 Bank tellers 310 Bookkeepers 320 Cashiers 321 Collectors, bill and account 322 Dispatchers and starters, vehicle 325 Express messengers and railway mail clerks 335 Mail carriers 340 Messengers and office boys 341 Office machine operators 342 Shipping and receiving clerks 350 Stenographers, typists, and secretaries 360 Telegraph messengers 365 Telegraph operators 370 Telephone operators 380 Ticket, station, and express agents 390 Clerical and kindred workers (n.e.c.) 400 Advertising agents and salesmen 410 Auctioneers 420 Demonstrators 430 Hucksters and peddlers 450 Insurance agents and brokers 460 Newsboys 470 Real estate agents and brokers 480 Stock and bond salesmen 490 Salesmen and sales clerks (n.e.c.) 500 Bakers 501 Blacksmiths 502 Bookbinders 503 Boilermakers 504 Brickmasons, stonemasons, and tile setters 505 Cabinetmakers 510 Carpenters 511 Cement and concrete finishers 512 Compositors and typesetters 513 Cranemen, derrickmen, and hoistmen 514 Decorators and window dressers 515 Electricians 520 Electrotypers and stereotypers 521 Engravers, except photoengravers 522 Excavating, grading, and road machinery operators 523 Foremen (n.e.c.) 524 Forgemen and hammermen 525 Furriers 530 Glaziers 531 Heat treaters, annealers, temperers 532 Inspectors, scalers, and graders, log and lumber 533 Inspectors (n.e.c.) 534 Jewelers, watchmakers, goldsmiths, and silversmiths 535 Job setters, metal 540 Linemen and servicemen, telegraph, telephone, and power 541 Locomotive engineers 542 Locomotive firemen 543 Loom fixers 544 Machinists 545 Mechanics and repairmen, airplane 550 Mechanics and repairmen, automobile 551 Mechanics and repairmen, office machine 552 Mechanics and repairmen, radio and television 553 Mechanics and repairmen, railroad and car shop 554 Mechanics and repairmen (n.e.c.) 555 Millers, grain, flour, feed, etc. 560 Millwrights 561 Molders, metal 562 Motion picture projectionists 563 Opticians and lens grinders and polishers 564 Painters, construction and maintenance 565 Paperhangers 570 Pattern and model makers, except paper 571 Photoengravers and lithographers 572 Piano and organ tuners and repairmen 573 Plasterers 574 Plumbers and pipe fitters 575 Pressmen and plate printers, printing 580 Rollers and roll hands, metal 581 Roofers and slaters 582 Shoemakers and repairers, except factory 583 Stationary engineers 584 Stone cutters and stone carvers 585 Structural metal workers 590 Tailors and tailoresses 591 Tinsmiths, coppersmiths, and sheet metal workers 592 Tool makers, and die makers and setters 593 Upholsterers 594 Craftsmen and kindred workers (n.e.c.) 595 Members of the armed services 600 Apprentice auto mechanics 601 Apprentice bricklayers and masons 602 Apprentice carpenters 603 Apprentice electricians 604 Apprentice machinists and toolmakers 605 Apprentice mechanics, except auto 610 Apprentice plumbers and pipe fitters 611 Apprentices, building trades (n.e.c.) 612 Apprentices, metalworking trades (n.e.c.) 613 Apprentices, printing trades 614 Apprentices, other specified trades 615 Apprentices, trade not specified 620 Asbestos and insulation workers 621 Attendants, auto service and parking 622 Blasters and powdermen 623 Boatmen, canalmen, and lock keepers 624 Brakemen, railroad 625 Bus drivers 630 Chainmen, rodmen, and axmen, surveying 631 Conductors, bus and street railway 632 Deliverymen and routemen 633 Dressmakers and seamstresses, except factory 634 Dyers 635 Filers, grinders, and polishers, metal 640 Fruit, nut, and vegetable graders, and packers, except factory 641 Furnacemen, smeltermen and pourers 642 Heaters, metal 643 Laundry and dry cleaning operatives 644 Meat cutters, except slaughter and packing house 645 Milliners 650 Mine operatives and laborers 660 Motormen, mine, factory, logging camp, etc. 661 Motormen, street, subway, and elevated railway 662 Oilers and greaser, except auto 670 Painters, except construction or maintenance 671 Photographic process workers 672 Power station operators 673 Sailors and deck hands 674 Sawyers 675 Spinners, textile 680 Stationary firemen 681 Switchmen, railroad 682 Taxicab drivers and chauffers 683 Truck and tractor drivers 684 Weavers, textile 685 Welders and flame cutters 690 Operative and kindred workers (n.e.c.) 700 Housekeepers, private household 710 Laundressses, private household 720 Private household workers (n.e.c.) 730 Attendants, hospital and other institution 731 Attendants, professional and personal service (n.e.c.) 732 Attendants, recreation and amusement 740 Barbers, beauticians, and manicurists 750 Bartenders 751 Bootblacks 752 Boarding and lodging house keepers 753 Charwomen and cleaners 754 Cooks, except private household 760 Counter and fountain workers 761 Elevator operators 762 Firemen, fire protection 763 Guards, watchmen, and doorkeepers 764 Housekeepers and stewards, except private household 770 Janitors and sextons 771 Marshals and constables 772 Midwives 773 Policemen and detectives 780 Porters 781 Practical nurses 782 Sheriffs and bailiffs 783 Ushers, recreation and amusement 784 Waiters and waitresses 785 Watchmen (crossing) and bridge tenders 790 Service workers, except private household (n.e.c.) 810 Farm foremen 820 Farm laborers, wage workers 830 Farm laborers, unpaid family workers 840 Farm service laborers, self-employed 910 Fishermen and oystermen 920 Garage laborers and car washers and greasers 930 Gardeners, except farm, and groundskeepers 940 Longshoremen and stevedores 950 Lumbermen, raftsmen, and woodchoppers 960 Teamsters 970 Laborers (n.e.c.) 997 Occupation missing/unknown 999 NIU (not in universe) OCC95US provides a consistent classification of occupation across U.S. samples. Occupation describes the type of (usually market-oriented) work the person performs. Note regarding universe: "New workers" are persons seeking employment for the first time who have not yet secured their first job. Work Variables -- PERSON IPUMS Industry, general recode Industry, general recode Industry, general recode Industry, general recode Industry, general recode NIU (not in universe) 10 Agriculture, fishing, and forestry 20 Mining 30 Manufacturing 40 Electricity, gas and water 50 Construction 60 Wholesale and retail trade 70 Hotels and restaurants 80 Transportation and communications 90 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Real estate and business services 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. Work Variables -- PERSON IPUMS Industry, unrecoded Industry, unrecoded Industry, unrecoded Industry, unrecoded Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. Work Variables -- PERSON IPUMS Industry 1950 basis, U.S. Industry 1950 basis, U.S. Industry 1950 basis, U.S. Industry 1950 basis, U.S. Industry 1950 basis, U.S. NIU (not in universe) 105 Agriculture 116 Forestry 126 Fisheries 206 Metal mining 216 Coal mining 226 Crude petroleum and natural gas extraction 236 Nonmetallic mining and quarrying, except fuel 246 Construction 306 Logging 307 Sawmills, planing mills, and mill work 308 Miscellaneous wood products 309 Furniture and fixtures 316 Glass and glass products 317 Cement, concrete, gypsum and plaster products 318 Structural clay products 319 Pottery and related products 326 Miscellaneous nonmetallic mineral and stone products 336 Blast furnaces, steel works, and rolling mills 337 Other primary iron and steel industries 338 Primary nonferrous industries 346 Fabricated steel products 347 Fabricated nonferrous metal products 348 Not specified metal industries 356 Agricultural machinery and tractors 357 Office and store machines and devices 358 Miscellaneous machinery 367 Electrical machinery, equipment, and supplies 376 Motor vehicles and motor vehicle equipment 377 Aircraft and parts 378 Ship and boat building and repairing 379 Railroad and miscellaneous transportation equipment 386 Professional equipment and supplies 387 Photographic equipment and supplies 388 Watches, clocks, and clockwork-operated devices 399 Miscellaneous manufacturing industries 406 Meat products 407 Dairy products 408 Canning and preserving fruits, vegetables, and seafoods 409 Grain-mill products 416 Bakery products 417 Confectionery and related products 418 Beverage industries 419 Miscellaneous food preparations and kindred products 426 Not specified food industries 429 Tobacco manufactures 436 Knitting mills 437 Dyeing and finishing textiles, except knit goods 438 Carpets, rugs, and other floor coverings 439 Yarn, thread, and fabric mills 446 Miscellaneous textile mill products 448 Apparel and accessories 449 Miscellaneous fabricated textile products 456 Pulp, paper, and paperboard mills 457 Paperboard containers and boxes 458 Miscellaneous paper and pulp products 459 Printing, publishing, and allied industries 466 Synthetic fibers 467 Drugs and medicines 468 Paints, varnishes, and related products 469 Miscellaneous chemicals and allied products 476 Petroleum refining 477 Miscellaneous petroleum and coal products 478 Rubber products 487 Leather: tanned, curried, and finished 488 Footwear, except rubber 489 Leather products, except footwear 499 Not specified manufacturing industries 506 Railroads and railway express service 516 Street railways and bus lines 526 Trucking service 527 Warehousing and storage 536 Taxicab service 546 Water transportation 556 Air transportation 567 Petroleum and gasoline pipe lines 568 Services incidental to transportation 578 Telephone 579 Telegraph 586 Electric light and power 587 Gas and steam supply systems 588 Electric-gas utilities 596 Water supply 597 Sanitary services 598 Other and not specified utilities 606 Motor vehicles and equipment 607 Drugs, chemicals, and allied products 608 Dry goods apparel 609 Food and related products 616 Electrical goods, hardware, and plumbing equipment 617 Machinery, equipment, and supplies 618 Petroleum products 619 Farm products--raw materials 626 Miscellaneous wholesale trade 627 Not specified wholesale trade 636 Food stores, except dairy products 637 Dairy products stores and milk retailing 646 General merchandise stores 647 Five and ten cent stores 656 Apparel and accessories stores, except shoe 657 Shoe stores 658 Furniture and house furnishing stores 659 Household appliance and radio stores 667 Motor vehicles and accessories retailing 668 Gasoline service stations 669 Drug stores 679 Eating and drinking places 686 Hardware and farm implement stores 687 Lumber and building material retailing 688 Liquor stores 689 Retail florists 696 Jewelry stores 697 Fuel and ice retailing 698 Miscellaneous retail stores 699 Not specified retail trade 716 Banking and credit agencies 726 Security and commodity brokerage and investment companies 736 Insurance 746 Real estate 756 Real estate-insurance-law offices 806 Advertising 807 Accounting, auditing, and bookkeeping services 808 Miscellaneous business services 816 Auto repair services and garages 817 Miscellaneous repair services 826 Private households 836 Hotels and lodging places 846 Laundering, cleaning, and dyeing services 847 Dressmaking shops 848 Shoe repair shops 849 Miscellaneous personal services 856 Radio broadcasting and television 857 Theaters and motion pictures 858 Bowling alleys, and billiard and pool parlors 859 Miscellaneous entertainment and recreation services 868 Medical and other health services, except hospitals 869 Hospitals 879 Legal services 888 Educational services 896 Welfare and religious services 897 Nonprofit membership organizations 898 Engineering and architectural services 899 Miscellaneous professional and related services 906 Postal service 916 Federal public administration 926 State public administration 936 Local public administration 946 Public Administration, level not specified 976 Common or General laborer 982 Housework at home 983 School response (students, etc.) 984 Retired 987 Institution response 991 Lady/Man of leisure 997 Nonclassifiable 998 Industry not reported IND95US provides a consistent classification of industry across U.S. samples. Industry describes the type of goods or services produced by the place in which a person worked. Note regarding universe: "New workers" are persons seeking employment for the first time who had not yet secured their first job. Work Variables -- PERSON IPUMS Months worked last year Months worked last year Months worked last year Months worked last year Months worked last year 0 months 1 1 month 2 2 months 3 3 months 4 4 months 5 5 months 6 6 months 7 7 months 8 8 months 9 9 months 10 10 months 11 11 months 12 12 months 98 Not reported/unknown 99 NIU (not in universe) WRKMTHS gives the number of months that the respondent worked for profit, pay, or as an unpaid family worker during the previous year. Work Variables -- PERSON IPUMS Means of transportation to work or school Means of transportation to work or school Means of transportation to work or school Means of transportation to work or school Means of transportation to work or school NIU (not in universe) 10 None, does not travel to work or school 20 Walking 21 Walks or bicycle 22 Walks, bicycle, or motorcycle 30 Private vehicle 31 Auto, truck, or van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle or moped 36 Bicycle 37 Bicycle or motorcycle 38 Bicycle or moped 40 Public transportation 41 Bus or trolley bus 42 Bus or streetcar 43 Streetcar or trolley car 44 Railroad or train 45 Subway or elevated train 46 Other public transportation 50 Other 51 Taxicab 52 Ferryboat 53 Special transportation (company coach, school bus, etc.) 54 Hired transport 55 Shared private transport 56 Horse 57 Other, not elsewhere classified 60 Combination of several means 99 Unknown/missing TRNWRK identifies the primary or usual means of transportation the person took either to work or school. In censuses in which a person could report multiple modes of transportation, TRNWRK reports only the first method reported. Work Variables -- PERSON IPUMS Total income Total income Total income Total income Total income INCTOT reports the person's total personal income from all sources in the previous month or year. Income Variables -- PERSON IPUMS Earned income Earned income Earned income Earned income Earned income INCEARN reports the person's total income from their labor (from wages, a business, or a farm) in the previous month or year. Income Variables -- PERSON IPUMS Wage and salary income Wage and salary income Wage and salary income Wage and salary income Wage and salary income INCWAGE reports the respondent's weekly, monthly or annual wage and salary income. Income Variables -- PERSON IPUMS Self-employment income Self-employment income Self-employment income Self-employment income Self-employment income INCSELF indicates the respondent's monthly or annual income from self employment (farm and business). Income Variables -- PERSON IPUMS Income from anti-poverty or welfare programs Income from anti-poverty or welfare programs Income from anti-poverty or welfare programs Income from anti-poverty or welfare programs Income from anti-poverty or welfare programs INCWEL reports the monthly or annual income the respondent received from anti-poverty or welfare programs. Income Variables -- PERSON IPUMS Retirement or pension income Retirement or pension income Retirement or pension income Retirement or pension income Retirement or pension income INCRET reports the amount of income the respondent received from a retirement program or account, or from a pension. The amounts are provided on a monthly or annual basis, depending on the sample. Income Variables -- PERSON IPUMS State of residence 1 year ago, United States State of residence 1 year ago, United States State of residence 1 year ago, United States State of residence 1 year ago, United States State of residence 1 year ago, United States NIU (not in universe) 1 Alabama 2 Alaska 4 Arizona 5 Arkansas 6 California 8 Colorado 9 Connecticut 10 Delaware 11 District of Columbia 12 Florida 13 Georgia 15 Hawaii 16 Idaho 17 Illinois 18 Indiana 19 Iowa 20 Kansas 21 Kentucky 22 Louisiana 23 Maine 24 Maryland 25 Massachusetts 26 Michigan 27 Minnesota 28 Mississippi 29 Missouri 30 Montana 31 Nebraska 32 Nevada 33 New Hampshire 34 New Jersey 35 New Mexico 36 New York 37 North Carolina 38 North Dakota 39 Ohio 40 Oklahoma 41 Oregon 42 Pennsylvania 44 Rhode Island 45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah 50 Vermont 51 Virginia 53 Washington 54 West Virginia 55 Wisconsin 56 Wyoming 98 Abroad MIGUS2 indicates the person's state of residence within the United States 1 year ago. Migration Variables -- PERSON IPUMS Mother's location in household Mother's location in household Mother's location in household Mother's location in household Mother's location in household 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). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. Constructed Family Interrelationship Variables -- PERSON IPUMS Father's location in household Father's location in household Father's location in household Father's location in household Father's location in household 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 of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. Constructed Family Interrelationship Variables -- PERSON IPUMS Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household 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. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking parent Rule for linking parent Rule for linking parent Rule for linking parent Rule for linking parent No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse No spouse present 1 Rule 1: strong relationship pairing, couple adjacent 2 Rule 2: strong relationship pairing, couple not adjacent 3 Rule 3: weak relationship pairing, couple adjacent 4 Rule 4: weak relationship pairing, couple not adjacent 5 Rule 5: weak consensual union pairings 6 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. Constructed Family Interrelationship Variables -- PERSON IPUMS Probable stepmother Probable stepmother Probable stepmother Probable stepmother Probable stepmother Biological mother or no mother present 1 Mother has no children borne or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological 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. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children borne or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. Constructed Family Interrelationship Variables -- PERSON IPUMS Probable stepfather Probable stepfather Probable stepfather Probable stepfather Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's 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. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. Constructed Family Interrelationship Variables -- PERSON IPUMS Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. Constructed Family Interrelationship Variables -- PERSON IPUMS Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. Constructed Family Interrelationship Variables -- PERSON IPUMS Family unit membership Family unit membership Family unit membership Family unit membership Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household 1 1 family member present 2 2 family members present 3 3 family members present 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children in household Number of own children in household Number of own children in household Number of own children in household Number of own children in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. Constructed Family Interrelationship Variables -- PERSON IPUMS Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. Constructed Family Interrelationship Variables -- PERSON IPUMS Person number in sample unit Person number in sample unit Person number in sample unit Person number in sample unit Person number in sample unit Person number in sample unit All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 This variable indicates the person number in sample unit. Technical Person Variables -- PERSON IPUMS Sample Sample Sample Sample Sample Sample All persons This variable indicates the sample number. Technical Person Variables -- PERSON IPUMS Person weight (integer) Person weight (integer) Person weight (integer) Person weight (integer) Person weight (integer) Person weight (integer) All persons This variable indicates the person weight (integral). Technical Person Variables -- PERSON IPUMS Mother's location in the household Mother's location in the household Mother's location in the household Mother's location in the household Mother's location in the household Mother's location in the household All persons No mother identified in the household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 This variable indicates the mother's location in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Probable step/adopted mother Probable step/adopted mother Probable step/adopted mother Probable step/adopted mother Probable step/adopted mother Probable step/adopted mother All persons No stepmother present 1 Improbable age difference 2 Spouse of father 3 Identified stepmother 5 Identified as adopted This variable indicates the person's probable step/adopted mother. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking mother Rule for linking mother Rule for linking mother Rule for linking mother Rule for linking mother Rule for linking mother All persons No mother link 1 Unambiguous mother link 2 Daughter/grandchild link 3 Preceding female (no intervening person) 7 Spouse of father becomes stepmother This variable indicates the rule for linking mother. Constructed Family Interrelationship Variables -- PERSON IPUMS Father's location in the household Father's location in the household Father's location in the household Father's location in the household Father's location in the household Father's location in the household All persons No father identified in the household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 This variable indicates the person's father's location in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Probable step/adopted father Probable step/adopted father Probable step/adopted father Probable step/adopted father Probable step/adopted father Probable step/adopted father All persons No stepfather present 1 Improbable age difference 2 Spouse of mother 3 Identified stepfather 5 Identified as adopted This variable indicates the person's probable step/adopted father. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking father Rule for linking father Rule for linking father Rule for linking father Rule for linking father Rule for linking father All persons No father link 1 Unambiguous father link 2 Son/granchild link 3 Preceding male (no intervening person) 4 Preceding male (surname similarity) 7 Husband of mother becomes stepfather This variable indicates the rule for linking father. Constructed Family Interrelationship Variables -- PERSON IPUMS Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household All persons No spouse link 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 18 18 19 19 This variable indicates the spouse's location in household. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse All persons No spouse link 1 Wife follows husband 2 Wife precedes husband 3 Non-adjacent links -- consistent relationship to head/age differences 4 Adjacent links (wife follows husband -- no age, other relative conflicts) 5 Adjacent links (wife precedes husband -- no age, other relative conflicts) This variable indicates the rule for linking spouse. Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household All persons 1 1 family member present 2 2 family members present 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 This variable indicates the person's number of own family members in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children in the household Number of own children in the household Number of own children in the household Number of own children in the household Number of own children in the household Number of own children in the household All persons 0 children present 1 1 child present 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ This variable indicates the person's number of own children in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household All persons No children under age 5 1 1 child under age 5 2 2 3 3 4 4 5 5 6 6 7 7 This variable indicates the person's number of own children under age 5 in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Family unit membership Family unit membership Family unit membership Family unit membership Family unit membership Family unit membership All persons 1 1st family in household or group quarters 2 2nd family in household or group quarters 3 3rd 4 4th 5 5th 6 6th 7 7th 8 8th 9 9th 10 10th 11 11th 12 12th 13 13th 14 14th 15 15th 16 16th 17 17th This variable indicates the person's family unit membership. Constructed Family Interrelationship Variables -- PERSON IPUMS Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Persons with children present in the household Less than 1 year 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 86 86 87 87 94 94 99 NIU (not in universe) This variable indicates the age of the eldest own child in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Persons with children present in the household Less than 1 year 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 83 83 87 87 99 NIU (not in universe) This variable indicates the age of the youngest own child in the household . Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own siblings in household Number of own siblings in household Number of own siblings in household Number of own siblings in household Number of own siblings in household Number of own siblings in household All persons 0 siblings 1 1 sibling 2 2 siblings 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ This variable indicates the number of own siblings in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Relationship to household head Relationship to household head Relationship to household head Relationship to household head Relationship to household head 2. How is this person related to Person 1? _____ [For Person 1] [] Person 1 Person 1 is the person living or staying here in whose name this house or apartment is owned, being bought, or rented. If there is no such person, start with the name of any adult living or staying here. [For persons 2 - 5] Relationship of Person [2 - 5] to Person 1. [] Husband or wife [] Son or daughter [] Brother or sister [] Grandchild [] In-law [] Other relative [] Roomer, boarder [] Housemate, roommate [] Unmarried partner [] Foster child [] Other nonrelative All persons 101 Head/householder 201 Spouse 301 Biological Child 302 Adopted child 303 Stepchild 401 Child-in-law 501 Parent 601 Parent-in-law 701 Sibling 801 Sibling-in-law 901 Grandchild 1001 Other relatives, not specified 1114 Unmarried partner 1115 Housemate/roommate 1241 Roomer/boarders/lodgers 1242 Foster children 1260 Other non-relatives 1270 Non-inmate 1301 Institutional inmates This variable indicates the person's relationship to household head. Demographic Variables -- PERSON IPUMS Age Age Age Age Age 4. What is this person's age and date of birth? Please report babies as age 0 when the child is less than 1 year old. Age (in years) : ____ Month: _____ Day: ____ Year of birth: _______ All persons Less than 1 year old 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 This variable indicates the person's age. Demographic Variables -- PERSON IPUMS Sex Sex Sex Sex Sex 3. What is this person's sex? [] Male [] Female All persons 1 Male 2 Female This variable indicates the person's sex. Demographic Variables -- PERSON IPUMS Race Race Race Race Race Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 100 White 200 Black/Negro 301 Alaskan Athabaskan 302 Apache 303 Blackfoot 304 Cherokee 305 Cheyenne 306 Chickasaw 307 Chippewa 308 Choctaw 309 Comanche 310 Creek 311 Crow 312 Iroquois 314 Lumbee 315 Navajo 317 Paiute 318 Pima 319 Potawatomi 320 Pueblo 321 Seminole 323 Sioux 324 Tlingit 325 Tohono O'Odham 327 American Indian/Alaska Native, tribe not specified 330 Aleut 340 Eskimo 350 Delaware 352 Puget Sound Salish 353 Yakama 354 Yaqui 355 Colville 356 Houma 357 Menominee 358 Yuman 390 Other specified American Indian tribe 391 Two or more American Indian tribes 392 Other Alaska Native tribe(s) 393 Both American Indian and Alaska Native 400 Chinese 500 Japanese 600 Filipino 610 Asian Indian 620 Korean 630 Native Hawaiian 640 Vietnamese 660 Cambodian 661 Hmong 662 Laotian 663 Thai 664 Bangladeshi 666 Indonesian 667 Malaysian 669 Pakistani 670 Sri Lankan 671 All other Asian, not elsewhere classified 672 Asian, not specified 673 Chinese and Japanese 674 Chinese and Filipino 675 Chinese and Vietnamese 676 Chinese and Asian write-in 677 Japanese and Filipino 678 Asian Indian and Asian write-in 679 Other Asian race combinations 680 Samoan 682 Tongan 684 One or more other Polynesian races 685 Guamanian/Chamorro 689 One or more other Micronesian races 692 One or more Melanesian races 698 Two or more Pacific Islander races from multiple regions 699 Pacific Islander, not specified 700 Other race, not elsewhere classified 801 White and Black 802 White and American Indian/Alaska Native 811 White and Chinese 812 White and Japanese 813 White and Filipino 814 White and Asian Indian 815 White and Korean 816 White and Vietnamese 817 White and Asian write-in 819 White and two or more Asian groups 821 White and Native Hawaiian 822 White and Samoan 823 White and Guamanian/Chamorro 824 White and PI write-in 825 White and other Pacific Islander race(s) 826 White and 'other race' write-in 830 Black and American Indian/Alaska Native 832 Black and Chinese 833 Black and Japanese 834 Black and Filipino 835 Black and Asian Indian 836 Black and Korean 837 Black and Asian write-in 838 Black and other Asian race(s) 841 Black and Pacific Islander write-in 845 Black and 'other race' write-in 854 American Indian/Alaska Native and other Asian race(s) 855 American Indian/Alaska Native and Pacific Islander 856 American Indian/Alaska Native and 'other race' write-in 861 Chinese and Native Hawaiian 862 Chinese, Filipino, and Native Hawaiian 863 Japanese and Native Hawaiian 864 Filipino and Native Hawaiian 867 Asian write-in and Pacific Islander write-in 881 Chinese and 'other race' write-in 882 Japanese and 'other race' write-in 883 Filipino and 'other race' write-in 884 Asian Indian and 'other race' write-in 885 Asian write-in and 'other race' write-in 886 Other Asian race(s) and 'other race' write-in 892 Other Pacific Islander race(s) and 'other race' write-in 901 White, Black, and American Indian/Alaska Native 902 White and Black and Asian 903 White and Black and Pacific Islander 904 White and Black and 'other race' write-in 905 White and American Indian/Alaska Native and Asian 906 White and American Indian/Alaska Native and Pacific Islander 907 White and American Indian/Alaska Native and 'other race' write-in 911 White and Chinese and Native Hawaiian 912 White and Chinese and Filipino and Native Hawaiian 913 White and Japanese and Native Hawaiian 914 White and Filipino and Native Hawaiian 915 Other White and Asian race(s) and Pacific Islander race(s) 923 Other White and Asian race(s) and 'other race' write-in 925 White and Pacific Islander and 'other race' write-in 930 Black and American Indian/Alaska Native and Asian 931 Black and American Indian/Alaska Native and Pacific Islander 932 Black and American Indian/Alaska Native and 'other race' write-in 933 Black and Asian and Pacific Islander 934 Black and Asian and 'other race' write-in 935 Black and Pacific Islander and 'other race' write-in 940 American Indian/Alaska Native and Asian and Pacific Islander 941 American Indian/Alaska Native and Asian and 'other race' write-in 942 American Indian/Alaska Native and Pacific Islander and 'other race' write-in 943 Asian and Pacific Islander and 'other race' write-in 950 White and Black and American Indian/Alaska Native and Asian 951 White and Black and American Indian/Alaska Native and Pacific Islander 952 White and Black and American Indian/Alaska Native and 'other race' write-in 953 White and Black and Asian and Pacific Islander 954 White and Black and Asian and 'other race' write-in 955 White and Black and Pacific Islander and 'other race' write-in 960 White and American Indian/Alaska Native and Asian and Pacific Islander 961 White and American Indian/Alaska Native and Asian and 'other race' write-in 962 White and American Indian/Alaska Native and Pacific Islander and 'other race' write-in 963 White and Asian and Pacific Islander and 'other race' write-in 970 Black and American Indian/Alaska Native and Asian and Pacific Islander 971 Black and American Indian/Alaska Native and Asian and 'other race' write-in 972 Black and American Indian/Alaska Native and Pacific Islander and 'other race' write-in 973 Black and Asian and Pacific Islander and 'other race' write-in 974 American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write-in 980 White and Black and American Indian/Alaska Native and Asian and Pacific Islander 981 White and Black and American Indian/Alaska Native and Asian and 'other race' write-in 982 White and Black and American Indian/Alaska Native and Pacific Islander and 'other race' write-in 984 White and American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write-in 990 White and Black and American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write-in This variable indicates the person's race. Ethnicity and Language Variables -- PERSON IPUMS Marital status Marital status Marital status Marital status Marital status 20. What is this person's marital status? [] Now married [] Widowed [] Divorced [] Separated [] Never married, skip to Section I All persons 1 Married, spouse present 2 Married, spouse absent 3 Separated 4 Divorced 5 Widowed 6 Never married/single This variable indicates the person's marital status. Demographic Variables -- PERSON IPUMS Times married Times married Times married Times married Times married 22. How many times has this person been married? [] Once [] Two times [] Three or more times Persons ever married NIU (not in universe) 1 Married once 2 Married twice (or more) 3 Married thrice (or more) This variable indicates the number of times the person has been married. Demographic Variables -- PERSON IPUMS Married within the past year Married within the past year Married within the past year Married within the past year Married within the past year 21. In the past 12 months did this person get a) Married? [] Yes [] No Persons ever married NIU (not in universe) 1 No 2 Yes This variable indicates whether the person was married within the past year. Demographic Variables -- PERSON IPUMS Birthplace Birthplace Birthplace Birthplace Birthplace 7. Where was this person born? [] In the United States - Print name of state. ____ [] Outside the United States - Print name of foreign country, or Puerto Rico, Guam, etc. ____ All persons 100 Alabama 200 Alaska 400 Arizona 500 Arkansas 600 California 800 Colorado 900 Connecticut 1000 Delaware 1100 District of Columbia 1200 Florida 1300 Georgia 1500 Hawaii 1600 Idaho 1700 Illinois 1800 Indiana 1900 Iowa 2000 Kansas 2100 Kentucky 2200 Louisiana 2300 Maine 2400 Maryland 2500 Massachusetts 2600 Michigan 2700 Minnesota 2800 Mississippi 2900 Missouri 3000 Montana 3100 Nebraska 3200 Nevada 3300 New Hampshire 3400 New Jersey 3500 New Mexico 3600 New York 3700 North Carolina 3800 North Dakota 3900 Ohio 4000 Oklahoma 4100 Oregon 4200 Pennsylvania 4400 Rhode Island 4500 South Carolina 4600 South Dakota 4700 Tennessee 4800 Texas 4900 Utah 5000 Vermont 5100 Virginia 5300 Washington 5400 West Virginia 5500 Wisconsin 5600 Wyoming 10000 American Samoa 10010 Samoa 10500 Guam 11000 Puerto Rico 11500 U.S. Virgin Islands 15000 Canada 16010 Bermuda 16020 Cape Verde 20000 Mexico 21010 Belize/British Honduras 21020 Costa Rica 21030 El Salvador 21040 Guatemala 21050 Honduras 21060 Nicaragua 21070 Panama 25000 Cuba 26010 Dominican Republic 26020 Haiti 26030 Jamaica 26042 Antigua-Barbuda 26043 Bahamas 26044 Barbados 26054 Dominica 26055 Grenada 26057 St. Kitts-Nevis 26058 St. Lucia 26059 St. Vincent 26060 Trinidad and Tobago 26091 Caribbean, not specified / not elsewhere classified 26094 West Indies, not specified 29900 Americas, not specified 30005 Argentina 30010 Bolivia 30015 Brazil 30020 Chile 30025 Colombia 30030 Ecuador 30040 Guyana/British Guiana 30045 Paraguay 30050 Peru 30060 Uruguay 30065 Venezuela 30090 South America, not specified 40000 Denmark 40100 Finland 40200 Iceland 40400 Norway 40500 Sweden 41000 England 41100 Scotland 41300 United Kingdom, not specified/ not elsewhere classified 41400 Ireland 41410 Northern Ireland 42000 Belgium 42100 France 42500 Netherlands 42600 Switzerland 43000 Albania 43300 Greece 43330 Macedonia 43400 Italy 43600 Portugal 43610 Azores 43800 Spain 45000 Austria 45100 Bulgaria 45200 Czechoslovakia 45212 Slovakia 45213 Czech Republic 45300 Germany 45400 Hungary 45500 Poland 45600 Romania 45700 Yugoslavia 45710 Croatia 45740 Bosnia 46000 Estonia 46100 Latvia 46200 Lithuania 46500 Other USSR/ 46510 Byelorussia 46520 Moldavia 46530 Ukraine 46540 Armenia 46541 Azerbaijan 46542 Republic of Georgia 46543 Kazakhstan 46547 Uzbekistan 46590 USSR, not specified/not elsewhere classified 49900 Europe, not specified 50000 China 50010 Hong Kong 50040 Taiwan 50100 Japan 50200 Korea 50900 East Asia, not specified 51100 Cambodia (Kampuchea) 51200 Indonesia 51300 Laos 51400 Malaysia 51500 Philippines 51600 Singapore 51700 Thailand 51800 Vietnam 52000 Afghanistan 52100 India 52110 Bangladesh 52130 Burma (Myanmar) 52140 Pakistan 52150 Sri Lanka (Ceylon) 52200 Iran 52400 Nepal 53200 Iraq 53400 Israel/Palestine 53500 Jordan 53600 Kuwait 53700 Lebanon 54000 Saudi Arabia 54100 Syria 54200 Turkey 54400 Yemen Arab Republic (North) 59900 Asia, not elsewhere classified/not specified 60011 Algeria 60012 Egypt/United Arab Rep. 60014 Morocco 60015 Sudan 60019 North Africa, not specified 60023 Ghana 60024 Guinea 60027 Liberia 60031 Nigeria 60032 Senegal 60033 Sierra Leone 60038 Western Africa, not specified 60044 Ethiopia 60045 Kenya 60053 Somalia 60054 Tanzania 60055 Uganda 60057 Zimbabwe 60064 Eastern Africa, not elsewhere classified/not specified 60065 Eritrea 60072 Cameroon 60094 South Africa (Union of) 60099 Africa, not specified/not elsewhere classified 70010 Australia 70020 New Zealand 71021 Fiji 71023 Tonga 71042 Micronesia 95000 Other, not elsewhere classified This variable indicates the person's birthplace. Nativity and Birthplace Variables -- PERSON IPUMS Ancestry, first response Ancestry, first response Ancestry, first response Ancestry, first response Ancestry, first response 13. What is this person's ancestry or ethnic origin? ____ (For example: Italian, Jamaican, African Am., Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on.) All persons 10 Alsatian 30 Austrian 53 Basque 80 Belgian 90 Flemish 110 British 120 British Isles 200 Danish 210 Dutch 220 English 240 Finnish 261 French 321 German 322 Pennsylvania German 329 Germanic 400 Prussian 460 Greek 490 Icelander 500 Irish 501 Celtic 502 Irish Scotch 511 Italian 680 Sicilian 770 Luxemburger 780 Maltese 820 Norwegian 840 Portuguese 870 Scotch Irish 880 Scottish 890 Swedish 910 Swiss 970 Welsh 980 Scandinavian, Nordic 1000 Albanian 1020 Belorussian 1030 Bulgarian 1090 Croatian 1110 Czechoslovakian 1111 Czech 1121 Bohemian 1150 Estonian 1200 Georgian 1222 German from Russia 1240 Rom 1250 Hungarian 1280 Latvian 1290 Lithuanian 1300 Macedonian 1420 Polish 1440 Romanian 1480 Russian 1521 Serbian 1522 Bosnian, Herzegovinian 1530 Slovak 1540 Slovene 1711 Ukrainian 1760 Yugoslavian 1780 Slav 1790 Slavonian 1830 Northern European, not elsewhere classified 1870 Western European, not elsewhere classified 1900 Eastern European, not elsewhere classified 1950 European, not elsewhere classified 2001 Spaniard 2101 Mexican 2102 Mexicano/Mexicana 2103 Mexican Indian 2110 Mexican American 2111 Mexican American Indian 2130 Chicano/Chicana 2183 Mexican State 2210 Costa Rican 2220 Guatemalan 2230 Honduran 2240 Nicaraguan 2251 Panamanian 2260 Salvadoran 2271 Central American 2272 Latin American 2273 Latino/Latina 2274 Latin 2310 Argentinean 2320 Bolivian 2330 Chilean 2340 Colombian 2350 Ecuadorian 2360 Paraguayan 2370 Peruvian 2380 Uruguayan 2390 Venezuelan 2481 South American 2610 Puerto Rican 2710 Cuban 2750 Dominican 2900 Hispanic 2910 Spanish 2950 Spanish American 3000 Bahamian 3010 Barbadian 3020 Belizean 3080 Jamaican 3100 Dutch West Indies 3140 Trinidadian/Tobagonian 3212 Antigua 3220 British West Indian 3245 St. Vincent-Grenadine 3290 Grenadian 3310 St. Lucia Islander 3350 West Indian 3360 Haitian 3370 Other West Indian 3600 Brazilian 3700 Guyanese/British Guiana 4000 Algerian 4020 Egyptian 4060 Moroccan 4160 Iranian 4170 Iraqi 4190 Israeli 4210 Jordanian 4250 Lebanese 4290 Syrian 4310 Armenian 4340 Turkish 4350 Yemeni 4420 Kurdish 4650 Palestinian 4821 Assyrian 4823 Chaldean 4900 Middle Eastern 4950 Arab 4951 Arabic 4960 Other Arab 5080 Cameroonian 5100 Cape Verdean 5220 Ethiopian 5230 Eritrean 5290 Ghanian 5340 Kenyan 5410 Liberian 5530 Nigerian 5640 Senegalese 5660 Sierra Leonean 5680 Somalian 5700 South African 5760 Sudanese 5950 Other Subsaharan Africa 5980 West African 5990 African 6000 Afghan 6031 Bangladeshi 6032 Bengali 6090 Nepali 6151 India 6152 East Indian 6500 Punjabi 6801 Pakistani 6900 Sri Lankan 7000 Burmese 7030 Cambodian 7060 Chinese 7071 Cantonese 7121 Mongolian 7200 Filipino 7301 Indonesian 7401 Japanese 7480 Okinawan 7500 Korean 7650 Laotian 7680 Hmong 7701 Malaysian 7760 Thai 7820 Taiwanese 7850 Vietnamese 7930 Eurasian 7931 Amerasian 7950 Asian 7960 Other Asian 8000 Australian 8030 New Zealander 8080 Polynesian 8110 Hawaiian 8140 Samoan 8150 Tongan 8200 Micronesian 8210 Guamanian 8220 Chamorro Islander 8410 Fijian 8500 Pacific Islander 8700 Other Pacific 9001 Afro-American 9002 Black 9003 Negro 9006 Creole 9008 Afro 9020 African-American 9130 Central American Indian 9140 South American Indian 9200 American Indian (all tribes) 9205 Cherokee 9206 Native American 9207 Indian 9210 Aleut 9220 Eskimo 9241 White/Caucasian 9242 Anglo 9243 Appalachian 9310 Canadian 9350 French Canadian 9361 Acadian 9362 Cajun 9400 United States 9830 Texas 9940 North American 9950 Mixture 9960 Uncodable 9961 Not classified 9980 Other 9990 Not reported This variable indicates the person's ancestry, first response. Ethnicity and Language Variables -- PERSON IPUMS Ancestry, second response Ancestry, second response Ancestry, second response Ancestry, second response Ancestry, second response 13. What is this person's ancestry or ethnic origin? ____ (For example: Italian, Jamaican, African Am., Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on.) All persons 10 Alsatian 30 Austrian 53 Basque 80 Belgian 90 Flemish 110 British 120 British Isles 200 Danish 210 Dutch 220 English 240 Finnish 261 French 321 German 322 Pennsylvania German 329 Germanic 400 Prussian 460 Greek 490 Icelander 500 Irish 501 Celtic 502 Irish Scotch 511 Italian 680 Sicilian 770 Luxemburger 780 Maltese 820 Norwegian 840 Portuguese 870 Scotch Irish 880 Scottish 890 Swedish 910 Swiss 970 Welsh 980 Scandinavian, Nordic 1000 Albanian 1020 Belorussian 1030 Bulgarian 1090 Croatian 1110 Czechoslovakian 1111 Czech 1121 Bohemian 1150 Estonian 1200 Georgian 1222 Germans from Russia 1240 Rom 1250 Hungarian 1280 Latvian 1290 Lithuanian 1300 Macedonian 1420 Polish 1440 Romanian 1480 Russian 1521 Serbian 1522 Bosnian, Herzegovinian 1530 Slovak 1540 Slovene 1711 Ukrainian 1760 Yugoslavian 1780 Slav 1790 Slavonian 1830 Northern European, not elsewhere classified 1870 Western European, not elsewhere classified 1900 Eastern European, not elsewhere classified 1950 European, not elsewhere classified 2001 Spaniard 2101 Mexican 2102 Mexicano/Mexicana 2103 Mexican Indian 2110 Mexican American 2111 Mexican American Indian 2130 Chicano/Chicana 2183 Mexican State 2210 Costa Rican 2220 Guatemalan 2230 Honduran 2240 Nicaraguan 2251 Panamanian 2260 Salvadoran 2271 Central American 2272 Latin American 2273 Latino/Latina 2274 Latin 2310 Argentinean 2320 Bolivian 2330 Chilean 2340 Colombian 2350 Ecuadorian 2360 Paraguayan 2370 Peruvian 2380 Uruguayan 2390 Venezuelan 2481 South American 2610 Puerto Rican 2710 Cuban 2750 Dominican 2900 Hispanic 2910 Spanish 2950 Spanish American 3000 Bahamian 3010 Barbadian 3020 Belizean 3080 Jamaican 3100 Dutch West Indies 3140 Trinidadian/Tobagonian 3212 Antigua 3220 British West Indian 3245 St. Vincent-Grenadine Islander 3290 Grenadian 3310 St. Lucia Islander 3350 West Indian 3360 Haitian 3370 Other West Indian 3600 Brazilian 3700 Guyanese/British Guiana 4000 Algerian 4020 Egyptian 4060 Moroccan 4160 Iranian 4170 Iraqi 4190 Israeli 4210 Jordanian 4250 Lebanese 4290 Syrian 4310 Armenian 4340 Turkish 4350 Yemeni 4420 Kurdish 4650 Palestinian 4821 Assyrian 4823 Chaldean 4900 Middle Eastern 4950 Arab 4951 Arabic 4960 Other Arab 5080 Cameroonian 5100 Cape Verdean 5220 Ethiopian 5230 Eritrean 5290 Ghanian 5340 Kenyan 5410 Liberian 5530 Nigerian 5640 Senegalese 5660 Sierra Leonean 5680 Somalian 5700 South African 5760 Sudanese 5950 Other Subsaharan Africa 5980 West African 5990 African 6000 Afghan 6031 Bangladeshi 6032 Bengali 6090 Nepali 6151 India 6152 East Indian 6500 Punjabi 6801 Pakistani 6900 Sri Lankan 7000 Burmese 7030 Cambodian 7060 Chinese 7071 Cantonese 7121 Mongolian 7200 Filipino 7301 Indonesian 7401 Japanese 7480 Okinawan 7500 Korean 7650 Laotian 7680 Hmong 7701 Malaysian 7760 Thai 7820 Taiwanese 7850 Vietnamese 7930 Eurasian 7931 Amerasia 7950 Asian 7960 Other Asian 8000 Australian 8030 New Zealander 8080 Polynesian 8110 Hawaiian 8140 Samoan 8150 Tongan 8200 Micronesian 8210 Guamanian 8220 Chamorro Islander 8410 Fijian 8500 Pacific Islander 8700 Other Pacific 9001 Afro-American 9002 Black 9003 Negro 9006 Creole 9008 Afro 9020 African-American 9130 Central American Indian 9140 South American Indian 9200 American Indian (all tribes) 9205 Cherokee 9206 Native American 9207 Indian 9210 Aleut 9220 Eskimo 9241 White/Caucasian 9242 Anglo 9243 Appalachian 9310 Canadian 9350 French Canadian 9361 Acadain 9362 Cajun 9980 Other (usually a religion) 9990 Not reported This variable indicates the person's ancestry, second response. Ethnicity and Language Variables -- PERSON IPUMS Citizenship status Citizenship status Citizenship status Citizenship status Citizenship status 8. Is this person a citizen of the United States? [] Yes, born in the United States -&gt; skip to 10a [] Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas [] Yes, born abroad of U.S. citizen parent or parents [] Yes, U.S. citizen by naturalization. Print year of naturalization: ____ [] No, not a U.S. citizen Foreign-born persons NIU (not in universe) 1 Born abroad of American parents 2 Naturalized citizen 3 Not a citizen 9 Unknown This variable indicates the person's citizenship status. Nativity and Birthplace Variables -- PERSON IPUMS Hispanic origin Hispanic origin Hispanic origin Hispanic origin Hispanic origin Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 5. Is Person 1 of Hispanic, Latino, or Spanish origin? [] No, not of Hispanic, Latino, or Spanish origin [] Yes, Mexican, Mexican Am., Chicano [] Yes, Puerto Rican [] Yes, Cuban [] Yes, another Hispanic, Latino, or Spanish origin Print origin, for example, Argentinean, Colombian, Dominican, Nicaraguan, Salvadoran, Spaniard, and so on ____ All persons Not Hispanic 100 Mexican 200 Puerto Rican 300 Cuban 411 Costa Rican 412 Guatemalan 413 Honduran 414 Nicaraguan 415 Panamanian 416 Salvadoran 417 Central American, not elsewhere classified 420 Argentinean 421 Bolivian 422 Chilean 423 Colombian 424 Ecuadorian 425 Paraguayan 426 Peruvian 427 Uruguayan 428 Venezuelan 431 South American, not elsewhere classified 450 Spaniard 460 Dominican 498 Other, not specified This variable indicates whether the person has Hispanic origin. Ethnicity and Language Variables -- PERSON IPUMS Years in the United States, intervalled Years in the United States, intervalled Years in the United States, intervalled Years in the United States, intervalled Years in the United States, intervalled 9. When did this person come to live in the United States? Print numbers in boxes. Year: ____ Foreign-born persons and persons born in U.S. outlying areas NIU (not in universe) 1 0 to 5 years 2 6 to 10 years 3 11 to 15 years 4 16 to 20 years 5 21+ years This variable indicates the person's number of years in the United States (intervalled). Nativity and Birthplace Variables -- PERSON IPUMS Language spoken Language spoken Language spoken Language spoken Language spoken 14. a) Does this person speak a language other than English at home? [] Yes [] No, skip question 15a b) What is this language? ____ For example: Korean, Italian, Spanish, Vietnamese Persons age 5+ NIU (not in universe) 100 English 110 Jamaican Creole 200 German 240 Pennsylvania Dutch 300 Yiddish, Jewish 400 Dutch 420 Afrikaans 500 Swedish 600 Danish 700 Norwegian 1000 Italian 1100 French 1130 Patois 1140 French or Haitian Creole 1150 Cajun 1200 Spanish 1300 Portuguese 1400 Rumanian 1540 Irish Gaelic, Gaelic 1600 Greek 1700 Albanian 1800 Russian 1900 Ukrainian, Ruthenian, Little Russian 2000 Czech 2100 Polish 2200 Slovak 2300 Serbo-Croatian, Yugoslavian, Slavonian 2310 Croatian 2320 Serbian 2500 Lithuanian 2510 Lettish 2610 Bulgarian 2630 Macedonian 2800 Armenian 2900 Persian, Iranian, Farssi 3010 Pashto, Afghan 3020 Kurdish 3102 Hindi 3103 Urdu 3112 Bengali 3113 Panjabi 3114 Marathi 3115 Gujarathi 3123 Sinhalese 3130 Kannada 3140 India not elsewhere classified 3150 Pakistan not elsewhere classified 3190 Other Indo-European languages 3300 Finnish 3400 Magyar, Hungarian 3600 Turkish 4003 Telugu 4004 Malayalam 4005 Tamil 4011 Nepali 4300 Chinese 4302 Cantonese 4303 Mandarin 4410 Miao-Yao, Mien 4420 Miao, Hmong 4500 Burmese, Lisu, Lolo 4710 Thai 4720 Laotian 4800 Japanese 4900 Korean 5000 Vietnamese 5120 Mon-Khmer, Cambodian 5200 Indonesian 5270 Malay 5290 Other Asian languages 5310 Formosan, Taiwanese 5400 Filipino, Tagalog 5410 Bisayan 5420 Sebuano 5440 Llocano, Hocano 5503 Chamorro, Guamanian 5522 Samoan 5523 Tongan 5590 Other Pacific Island languages 5600 Hawaiian 5700 Arabic 5810 Syriac, Aramaic, Chaldean 5900 Hebrew, Israeli 6000 Amharic, Ethiopian, etc. 6130 Cushite, Beja, Somali 6307 Bantu (many subheads) 6308 Swahili 6309 Mande 6310 Fulani 6312 Kru 6390 Other specified African languages 6400 African, not specified 7100 Aleut, Eskimo 7420 Apache 7490 Other Algonquin languages 7500 Navajo 7800 Zuni 8104 Dakota, Lakota, Nakota, Sioux 8300 Keres 8480 Cherokee 9300 American Indian, not specified 9410 Other specified American Indian languages 9420 South/Central American Indian 9601 Other not elsewhere classified This variable indicates the person's language spoken. Ethnicity and Language Variables -- PERSON IPUMS Speaks English Speaks English Speaks English Speaks English Speaks English c) How well does this person speak English? [] Very well [] Well [] Not well [] Not at all Persons age 5+ NIU (not in universe) 1 Does not speak English 3 Yes, speaks only English 4 Yes, speaks very well 5 Yes, speaks well 6 Yes, but not well This variable indicates whether the person speaks English. Ethnicity and Language Variables -- PERSON IPUMS School attendance School attendance School attendance School attendance School attendance 10. a) At any time in the last three months, has this person attended school or college? Include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma or a college degree. [] No, has not attended in the last 3 months -&gt; skip to question 11. [] Yes, public school, public college [] Yes, private school, private college, home school Persons age 3+ NIU (not in universe) 1 No, not in school 2 Yes, in school This variable indicates the person's school attendance. Education Variables -- PERSON IPUMS Public or private school Public or private school Public or private school Public or private school Public or private school 10. a) At any time in the last three months, has this person attended school or college? Include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma or a college degree. [] No, has not attended in the last 3 months -&gt; skip to question 11. [] Yes, public school, public college [] Yes, private school, private college, home school Persons age 3+ NIU (not in universe) 1 Not enrolled 2 Public school 3 Private school This variable indicates whether the person attends a public or a private school. Education Variables -- PERSON IPUMS Employment status Employment status Employment status Employment status Employment status Employment status Persons age 16+ NIU (not in universe) 10 At work 12 Has job, not working 14 Armed forces--at work 15 Armed forces--with job but not at work 20 Unemployed 30 Not in labor force This variable indicates the person's employment status. Work Variables -- PERSON IPUMS Labor force status Labor force status Labor force status Labor force status Labor force status Labor force status Persons age 16+ NIU (not in universe) 1 No, not in the labor force 2 Yes, in the labor force This variable indicates the person's labor force status. Work Variables -- PERSON IPUMS Occupation, 1950 basis Occupation, 1950 basis Occupation, 1950 basis Occupation, 1950 basis Occupation, 1950 basis 45. What kind of work was this person doing? (For example: registered nurse, personal manager, supervisor of order department, secretary, and accountant) ____ 46. What were this person's most important activities or duties? (For example: patient care, directing hiring policies, supervising order clerks, typing and filing, reconciling financial records) ____ Persons age 16+ working within the previous five years, not new workers Accountants and auditors 1 Actors and actresses 2 Airplane pilots and navigators 3 Architects 4 Artists and art teachers 6 Authors 7 Chemists 8 Chiropractors 9 Clergymen 29 Post secondary teachers, subject not specified 31 Dancers and dancing teachers 32 Dentists 33 Designers 34 Dietitians and nutritionists 35 Draftsmen 36 Editors and reporters 41 Engineers, aeronautical 42 Engineers, chemical 43 Engineers, civil 44 Engineers, electrical 45 Engineers, industrial 46 Engineers, mechanical 47 Engineers, metallurgical, metallurgists 48 Engineers, mining 49 Engineers (not elsewhere classified) 51 Entertainers (not elsewhere classified) 53 Foresters and conservationists 54 Funeral directors and embalmers 55 Lawyers and judges 56 Librarians 57 Musicians and music teachers 58 Nurses, professional 61 Agricultural scientists 62 Biological scientists 63 Geologists and geophysicists 68 Physicists 69 Miscellaneous natural scientists 70 Optometrists 72 Personnel and labor relations workers 73 Pharmacists 74 Photographers 75 Physicians and surgeons 76 Radio operators 77 Recreation and group workers 78 Religious workers 79 Social and welfare workers, except group 81 Economists 82 Psychologists 83 Statisticians and actuaries 84 Miscellaneous social scientists 91 Sports instructors and officials 92 Surveyors 93 Teachers (not elsewhere classified) 94 Technicians, medical and dental 95 Technicians, testing 96 Technicians (not elsewhere classified) 97 Therapists and healers (not elsewhere classified) 98 Veterinarians 99 Professional, technical and kindred workers (not elsewhere classified) 100 Farmers (owners and tenants) 200 Buyers and department heads, store 201 Buyers and shippers, farm products 203 Conductors, railroad 210 Inspectors, public administration 230 Managers and superintendents, building 240 Officers, pilots, pursers and engineers, ship 250 Officials and administrators (not elsewhere classified), public administration 280 Purchasing agents and buyers (not elsewhere classified) 290 Managers, officials, and proprietors (not elsewhere classified) 301 Attendants and assistants, library 302 Attendants, physician's and dentist's office 305 Bank tellers 310 Bookkeepers 320 Cashiers 321 Collectors, bill and account 322 Dispatchers and starters, vehicle 335 Mail carriers 340 Messengers and office boys 341 Office machine operators 342 Shipping and receiving clerks 350 Stenographers, typists, and secretaries 370 Telephone operators 380 Ticket, station, and express agents 390 Clerical and kindred workers (not elsewhere classified) 400 Advertising agents and salesmen 420 Demonstrators 450 Insurance agents and brokers 460 Newsboys 470 Real estate agents and brokers 480 Stock and bond salesmen 490 Salesmen and sales clerks (not elsewhere classified) 500 Bakers 502 Bookbinders 503 Boilermakers 504 Brickmasons, stonemasons, and tile setters 505 Cabinetmakers 510 Carpenters 511 Cement and concrete finishers 512 Compositors and typesetters 513 Cranemen, derrickmen, and hoistmen 515 Electricians 521 Engravers, except photoengravers 522 Excavating, grading, and road machinery operators 523 Foremen (not elsewhere classified) 524 Forgemen and hammermen 530 Glaziers 531 Heat treaters, annealers, temperers 533 Inspectors (not elsewhere classified) 534 Jewelers, watchmakers, goldsmiths, and silversmiths 540 Linemen and servicemen, telegraph, telephone, and power 541 Locomotive engineers 544 Machinists 545 Mechanics and repairmen, airplane 550 Mechanics and repairmen, automobile 551 Mechanics and repairmen, office machine 552 Mechanics and repairmen, radio and television 554 Mechanics and repairmen (not elsewhere classified) 560 Millwrights 562 Motion picture projectionists 563 Opticians and lens grinders and polishers 564 Painters, construction and maintenance 565 Paperhangers 570 Pattern and model makers, except paper 573 Plasterers 574 Plumbers and pipe fitters 575 Pressmen and plate printers, printing 580 Rollers and roll hands, metal 581 Roofers and slaters 582 Shoemakers and repairers, except factory 583 Stationary engineers 585 Structural metal workers 591 Tinsmiths, coppersmiths, and sheet metal workers 592 Tool makers, and die makers and setters 593 Upholsterers 595 Members of the armed services 620 Asbestos and insulation workers 621 Attendants, auto service and parking 622 Blasters and powdermen 624 Brakemen, railroad 625 Bus drivers 632 Deliverymen and routemen 633 Dressmakers and seamstresses, except factory 635 Filers, grinders, and polishers, metal 643 Laundry and dry cleaning operatives 644 Meat cutters, except slaughter and packing house 650 Mine operatives and laborers 662 Oilers and greaser, except auto 670 Painters, except construction or maintenance 671 Photographic process workers 672 Power station operators 673 Sailors and deck hands 674 Sawyers 680 Stationary firemen 682 Taxicab drivers and chauffers 683 Truck and tractor drivers 684 Weavers, textile 685 Welders and flame cutters 690 Operative and kindred workers (not elsewhere classified) 730 Attendants, hospital and other institution 731 Attendants, professional and personal service (not elsewhere classified) 732 Attendants, recreation and amusement 740 Barbers, beauticians, and manicurists 750 Bartenders 753 Charwomen and cleaners 754 Cooks, except private household 760 Counter and fountain workers 762 Firemen, fire protection 763 Guards, watchmen, and doorkeepers 764 Housekeepers and stewards, except private household 770 Janitors and sextons 773 Policemen and detectives 780 Porters 781 Practical nurses 782 Sheriffs and bailiffs 783 Ushers, recreation and amusement 784 Waiters and waitresses 790 Service workers, except private household (not elsewhere classified) 810 Farm foremen 820 Farm laborers, wage workers 910 Fishermen and oystermen 930 Gardeners, except farm, and groundskeepers 950 Lumbermen, raftsmen, and woodchoppers 970 Laborers (not elsewhere classified) 999 NIU (not in universe) This variable indicates the person's occupation, 1950 basis. Work: Occupation Variables -- PERSON IPUMS Occupational income score Occupational income score Occupational income score Occupational income score Occupational income score Occupational income score Persons age 16+ working within the last five years, not new workers NIU (not in universe) 3 3 4 4 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 45 45 46 46 48 48 49 49 52 52 54 54 62 62 63 63 80 80 This variable indicates the person's occupational income score. Work Variables -- PERSON IPUMS Duncan socioeconomic index Duncan socioeconomic index Duncan socioeconomic index Duncan socioeconomic index Duncan socioeconomic index Duncan socioeconomic index Persons age 16+ working within the last five years, not new workers NIU (not in universe) 4 4 5 5 6 6 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 56 56 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 72 72 73 73 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 84 84 85 85 86 86 87 87 90 90 92 92 93 93 96 96 This variable indicates the person's Duncan socioeconomic index. Work Variables -- PERSON IPUMS Industry, 1950 basis Industry, 1950 basis Industry, 1950 basis Industry, 1950 basis Industry, 1950 basis 43. What kind of business or industry was this? Describe the activity at the location where employed. (For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, bank) ____ Persons age 16+ working within the last five years, not new workers NIU (not in universe) 105 Agriculture 116 Forestry 126 Fisheries 206 Metal mining 216 Coal mining 226 Crude petroleum and natural gas extraction 236 Nonmetallic mining and quarrying, except fuel 246 Construction 306 Logging 307 Sawmills, planing mills, and mill work 309 Furniture and fixtures 316 Glass and glass products 317 Cement, concrete, gypsum and plaster products 318 Structural clay products 319 Pottery and related products 326 Miscellaneous nonmetallic mineral and stone products 336 Blast furnaces, steel works, and rolling mills 337 Other primary iron and steel industries 338 Primary nonferrous industries 346 Fabricated steel products 348 Not specified metal industries 356 Agricultural machinery and tractors 357 Office and store machines and devices 358 Miscellaneous machinery 367 Electrical machinery, equipment, and supplies 376 Motor vehicles and motor vehicle equipment 377 Aircraft and parts 378 Ship and boat building and repairing 379 Railroad and miscellaneous transportation equipment 386 Professional equipment and supplies 387 Photographic equipment and supplies 399 Miscellaneous manufacturing industries 406 Meat products 407 Dairy products 408 Canning and preserving fruits, vegetables, and seafoods 409 Grain-mill products 416 Bakery products 417 Confectionery and related products 418 Beverage industries 419 Miscellaneous food preparations and kindred products 426 Not specified food industries 429 Tobacco manufactures 436 Knitting mills 437 Dyeing and finishing textiles, except knit goods 438 Carpets, rugs, and other floor coverings 439 Yarn, thread, and fabric mills 448 Apparel and accessories 449 Miscellaneous fabricated textile products 456 Pulp, paper, and paperboard mills 457 Paperboard containers and boxes 458 Miscellaneous paper and pulp products 459 Printing, publishing, and allied industries 467 Drugs and medicines 468 Paints, varnishes, and related products 469 Miscellaneous chemicals and allied products 476 Petroleum refining 477 Miscellaneous petroleum and coal products 478 Rubber products 488 Footwear, except rubber 489 Leather products, except footwear 506 Railroads and railway express service 516 Street railways and bus lines 526 Trucking service 527 Warehousing and storage 536 Taxicab service 546 Water transportation 556 Air transportation 568 Services incidental to transportation 578 Telephone 586 Electric light and power 587 Gas and steam supply systems 588 Electric-gas utilities 596 Water supply 597 Sanitary services 598 Other and not specified utilities 606 Motor vehicles and equipment 607 Drugs, chemicals, and allied products 608 Dry goods apparel 609 Food and related products 616 Electrical goods, hardware, and plumbing equipment 617 Machinery, equipment, and supplies 618 Petroleum products 619 Farm products--raw materials 626 Miscellaneous wholesale trade 627 Not specified wholesale trade 636 Food stores, except dairy products 646 General merchandise stores 656 Apparel and accessories stores, except shoe 657 Shoe stores 658 Furniture and house furnishing stores 659 Household appliance and radio stores 667 Motor vehicles and accessories retailing 668 Gasoline service stations 669 Drug stores 679 Eating and drinking places 686 Hardware and farm implement stores 687 Lumber and building material retailing 688 Liquor stores 689 Retail florists 696 Jewelry stores 697 Fuel and ice retailing 698 Miscellaneous retail stores 699 Not specified retail trade 716 Banking and credit agencies 726 Security and commodity brokerage and investment companies 736 Insurance 746 Real estate 806 Advertising 807 Accounting, auditing, and bookkeeping services 808 Miscellaneous business services 816 Auto repair services and garages 817 Miscellaneous repair services 826 Private households 836 Hotels and lodging places 846 Laundering, cleaning, and dyeing services 849 Miscellaneous personal services 856 Radio broadcasting and television 857 Theaters and motion pictures 858 Bowling alleys, and billiard and pool parlors 859 Miscellaneous entertainment and recreation services 868 Medical and other health services, except hospitals 869 Hospitals 879 Legal services 888 Educational services 896 Welfare and religious services 897 Nonprofit membership organizations 898 Engineering and architectural services 899 Miscellaneous professional and related services 906 Postal service 916 Federal public administration 936 Local public administration This variable indicates the person's industry, 1950 basis. Work: Industry Variables -- PERSON IPUMS Class of worker Class of worker Class of worker Class of worker Class of worker 41. Was this person... Mark (X) ONE box [] an employee of a private for profit company or business, or of an individual, for wages, salary, or commissions? [] an employee of a private not for profit, tax-exempt, or charitable organization? [] a local government employee (city, county, etc.)? [] a state government employee? [] a federal government employee? [] Self-employed in own not incorporated business, professional practice, or farm? [] Self-employed in own incorporated business, professional practice, or farm? [] Working without pay in family business or farm Persons age 16+ working within the last five years, not new workers NIU (not in universe) 13 Self-employed, not incorporated 14 Self-employed, incorporated 22 Wage/salary, private 23 Wage/salary at non-profit 25 Federal government employee 27 State government employee 28 Local government employee 29 Unpaid family worker This variable indicates the class of worker. Work Variables -- PERSON IPUMS Weeks worked last year, intervalled Weeks worked last year, intervalled Weeks worked last year, intervalled Weeks worked last year, intervalled Weeks worked last year, intervalled b) How many weeks did this person work, even for a few hours, including paid vacation, paid sick leave, and military service? [] 50 to 52 weeks [] 48 to 49 weeks [] 40 to 47 weeks [] 27 to 39 weeks [] 14 to 26 weeks [] 13 weeks or less 40. During the past 12 months (52 weeks), in the weeks worked, how many hours did this person usually work each week? Usual hours worked each week: _____ Persons age 16+ who worked last year NIU (not in universe) 1 1-13 weeks 2 14-26 weeks 3 27-39 weeks 4 40-47 weeks 5 48-49 weeks 6 50-52 weeks This variable indicates the person's number of weeks worked last year (intervalled). Work Variables -- PERSON IPUMS Usual hours worked per week Usual hours worked per week Usual hours worked per week Usual hours worked per week Usual hours worked per week b) How many weeks did this person work, even for a few hours, including paid vacation, paid sick leave, and military service? [] 50 to 52 weeks [] 48 to 49 weeks [] 40 to 47 weeks [] 27 to 39 weeks [] 14 to 26 weeks [] 13 weeks or less 40. During the past 12 months (52 weeks), in the weeks worked, how many hours did this person usually work each week? Usual hours worked each week: _____ Persons age 16+ who worked last year NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99+ This variable indicates the person's number of usual hours worked per week. Work Variables -- PERSON IPUMS Years in the United States Years in the United States Years in the United States Years in the United States Years in the United States 9. When did this person come to live in the United States? Print numbers in boxes. Year: ____ Foreign-born persons and persons born in U.S. outlying areas Less than 1 year 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 77 77 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 99 NIU (not in universe) This variable indicates the person's number of years in the United States. Nativity and Birthplace Variables -- PERSON IPUMS Worked last year Worked last year Worked last year Worked last year Worked last year 39. a) During the past 12 months (52 weeks), did this person work 50 or more weeks? Count paid time off as work. [] Yes, skip to question 40 [] No Persons age 16+ NIU (not in universe) 1 No, and did not work in past 5 years 2 No, but worked 1-5 years ago 3 Yes This variable indicates whether the person worked last year. Work Variables -- PERSON IPUMS Absent from work last week Absent from work last week Absent from work last week Absent from work last week Absent from work last week b) Last week, was this person temporarily absent from a job or business? [] Yes, on vacation, temporary illness, labor dispute, etc., -&gt; skip to question 38 [] No SKIP to question 36 Persons age 16+ NIU (not in universe) 1 No 3 Yes 4 Not reported This variable indicates whether the person was absent from work last week. Work Variables -- PERSON IPUMS Looking for work last week Looking for work last week Looking for work last week Looking for work last week Looking for work last week 36. During the last 4 weeks, has this person been actively looking for work? [] Yes [] No, skip to question 38 Persons age 16+ NIU (not in universe) 1 No, did not look for work 2 Yes, looked for work 3 Not reported This variable indicates whether the person is looking for work last week. Work Variables -- PERSON IPUMS Available for work last week Available for work last week Available for work last week Available for work last week Available for work last week 37. Last week, could this person have started a job if offered one, or returned to work if recalled? [] Yes, could have gone to work [] No, because of own temporary illness [] No, because of all other reasons (in school, etc.) Persons age 16+ NIU (not in universe) 2 No, temporarily ill 3 No, other reason(s) 4 Yes, available for work 5 Not reported This variable indicates whether the person was available for work last week. Work Variables -- PERSON IPUMS Wage and salary income (US$) Wage and salary income (US$) Wage and salary income (US$) Wage and salary income (US$) Wage and salary income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. a) Wages, salary, commissions, bonuses, or tips from all jobs. Report amount before deductions for taxes, bonds, dues, or other items [] Yes $____.00 (Total amount for past 12 months) [] No Persons age 16+ This variable indicates the person's wage and salary income (in US$). Income Variables -- PERSON IPUMS Poverty status Poverty status Poverty status Poverty status Poverty status Poverty status Persons in private households This variable indicates the person's poverty status. Income Variables -- PERSON IPUMS Social Security income (US$) Social Security income (US$) Social Security income (US$) Social Security income (US$) Social Security income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. d) Social Security or Railroad Retirement [] Yes $____.00 (Total amount for past 12 months) [] No Persons age 15+ This variable indicates the person's Social Security income (in US$). Income Variables -- PERSON IPUMS Welfare (public assistance) income (US$) Welfare (public assistance) income (US$) Welfare (public assistance) income (US$) Welfare (public assistance) income (US$) Welfare (public assistance) income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. f) Any public assistance or welfare payments from the state or local welfare office. [] Yes $____.00 (Total amount for past 12 months) [ ] No Persons age 15+ This variable indicates the person's welfare (public assistance) income (in US$). Income Variables -- PERSON IPUMS Interest, dividend, and rental income (US$) Interest, dividend, and rental income (US$) Interest, dividend, and rental income (US$) Interest, dividend, and rental income (US$) Interest, dividend, and rental income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. c) Interest, dividends, net rental income, royalty income, or income from estates and trusts. Report even small amounts credited to an account [] Yes $____.00 (Total amount for past 12 months) [] No [] Loss Persons age 15+ This variable indicates the person's interest, dividend, and rental income (in US$). Income Variables -- PERSON IPUMS Other income (US$) Other income (US$) Other income (US$) Other income (US$) Other income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. h) Any such other sources of income received regularly such as Veterans' (VA) payments, unemployment compensation, child support or alimony. Do not include lump sum payments such as money from an inheritance or the sale of a home [] Yes $____.00 (Total amount for past 12 months) [] No Persons age 15+ This variable indicates the person's other income (in US$). Income Variables -- PERSON IPUMS Migration status, 1 year Migration status, 1 year Migration status, 1 year Migration status, 1 year Migration status, 1 year 15. a) Did this person live in this house or apartment 1 year ago? [] Person is under 1 year old -&gt; skip to question 16. [] Yes, this house -&gt; skip to question 16 [] No, outside the United States and Puerto Rico - Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16. ____ [] No, different house in the United States or Puerto Rico b) Where did this person live 1 year ago? Address (Number and street name) ____ Name of city, town, or post office ____ Name or U.S. county or municipio in Puerto Rico ____ Name of U.S. state or Puerto Rico zip code ____ Persons 1+ NIU (not in universe) 10 Same house 23 Moved within PUMA 24 Moved between PUMAs 31 Moved between contiguous states 32 Moved between non-contiguous states 40 Abroad one year ago This variable indicates the person's migration status within 1 year. Migration Variables -- PERSON IPUMS State or country of residence 1 year ago State or country of residence 1 year ago State or country of residence 1 year ago State or country of residence 1 year ago State or country of residence 1 year ago 15. a) Did this person live in this house or apartment 1 year ago? [] Person is under 1 year old -&gt; skip to question 16. [] Yes, this house -&gt; skip to question 16 [] No, outside the United States and Puerto Rico - Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16. ____ [] No, different house in the United States or Puerto Rico b) Where did this person live 1 year ago? Address (Number and street name) ____ Name of city, town, or post office ____ Name or U.S. county or municipio in Puerto Rico ____ Name of U.S. state or Puerto Rico zip code ____ Persons 1+ who were living in another house NIU (not in universe) 1 Alabama 2 Alaska 4 Arizona 5 Arkansas 6 California 8 Colorado 9 Connecticut 10 Delaware 11 District of Columbia 12 Florida 13 Georgia 15 Hawaii 16 Idaho 17 Illinois 18 Indiana 19 Iowa 20 Kansas 21 Kentucky 22 Louisiana 23 Maine 24 Maryland 25 Massachusetts 26 Michigan 27 Minnesota 28 Mississippi 29 Missouri 30 Montana 31 Nebraska 32 Nevada 33 New Hampshire 34 New Jersey 35 New Mexico 36 New York 37 North Carolina 38 North Dakota 39 Ohio 40 Oklahoma 41 Oregon 42 Pennsylvania 44 Rhode Island 45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah 50 Vermont 51 Virginia 53 Washington 54 West Virginia 55 Wisconsin 56 Wyoming 110 Puerto Rico 120 Other US Possessions 150 Canada 200 Mexico 213 El Salvador 214 Guatemala 215 Honduras 219 Central America, not elsewhere classified 250 Cuba 261 Dominican Republic 263 Jamaica 290 Other Caribbean and North America 315 Brazil 325 Colombia 350 Peru 390 South America, not elsewhere classified 410 England 413 United Kingdom 419 Other Northern Europe 421 France 429 Other Western Europe 435 Italy 453 Germany 455 Poland 459 Other Eastern Europe 465 USSR 498 Ukraine 499 Europe, not specified 500 China 501 Japan 502 Korea 503 Taiwan 515 Philippines 517 Thailand 518 Vietnam 519 Other South East Asia 521 India 523 Iraq 534 Israel/Palestine 551 Other Western Asia 599 Asia, not elsewhere classified 610 Northern Africa 620 Western Africa 621 Eastern Africa 699 Africa, not elsewhere classified 701 Australia 710 Pacific Islands This variable indicates the person's state or country of residence 1 year ago. Migration Variables -- PERSON IPUMS Metropolitan area of residence 1 year ago Metropolitan area of residence 1 year ago Metropolitan area of residence 1 year ago Metropolitan area of residence 1 year ago Metropolitan area of residence 1 year ago 15. a) Did this person live in this house or apartment 1 year ago? [] Person is under 1 year old -&gt; skip to question 16. [] Yes, this house -&gt; skip to question 16 [] No, outside the United States and Puerto Rico - Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16. ____ [] No, different house in the United States or Puerto Rico b) Where did this person live 1 year ago? Address (Number and street name) ____ Name of city, town, or post office ____ Name or U.S. county or municipio in Puerto Rico ____ Name of U.S. state or Puerto Rico zip code ____ Persons age 1+ living in metropolitan area 1 year ago NIU (not in universe) 40 Abilene, TX 80 Akron, OH 120 Albany, GA 160 Albany-Schenectady-Troy, NY 200 Albuquerque, NM 220 Alexandria, LA 240 Allentown-Bethlehem-Easton, PA 280 Altoona, PA 320 Amarillo, TX 380 Anchorage, AK 440 Ann Arbor, MI 450 Anniston, AL 460 Appleton-Oskosh-Neenah, WI 480 Asheville, NC 500 Athens, GA 520 Atlanta, GA 560 Atlantic City, NJ 580 Auburn-Opelika, AL 600 Augusta, GA-SC 640 Austin, TX 680 Bakersfield, CA 720 Baltimore, MD 740 Bangor, ME 760 Baton Rouge, LA 840 Beaumont-Port Arthur, TX 860 Bellingham, WA 870 Benton Harbor, MI 880 Billings, MT 920 Biloxi-Gulfport, MS 960 Binghamton, NY 1000 Birmingham, AL 1020 Bloomington, IN 1040 Bloomington-Normal, IL 1080 Boise City, ID 1120 Boston, MA 1121 Lawrence-Haverhill, MA/NH 1122 Lowell, MA/NH 1150 Bremerton, WA 1160 Bridgeport, CT 1200 Brockton, MA 1240 Brownsville - Harlingen-San Benito, TX 1260 Bryan-College Station, TX 1280 Buffalo, NY 1320 Canton, OH 1360 Cedar Rapids, IA 1400 Champaign-Urbana-Rantoul, IL 1440 Charleston, SC 1520 Charlotte, NC 1540 Charlottesville, VA 1560 Chattanooga, TN 1600 Chicago, IL 1602 Gary-Hammond-East Chicago, IN 1620 Chico, CA 1640 Cincinnati, OH-KY 1660 Clarksville-Hopkinsville, TN/KY 1680 Hamilton-Middleton, OH 1720 Colorado Springs, CO 1740 Columbia, MO 1760 Columbia, SC 1800 Columbus, GA 1840 Columbus, OH 1920 Dallas, TX 1921 Fort Worth, TX 1930 Danbury, CT 1950 Danville, VA 1960 Davenport-Rock Island-Moline, IA/IL 2000 Dayton, OH 2020 Daytona Beach, FL 2030 Decatur, AL 2040 Decatur, IL 2120 Des Moines, IA 2160 Detroit, MI 2180 Dothan, AL 2190 Dover, DE 2240 Duluth, MN 2281 Dutchess County, New York 2290 Eau Claire, WI 2310 El Paso, TX 2320 Elkhart-Goshen, IN 2360 Erie, PA 2400 Eugene-Springfield, OR 2440 Evansville, IN 2520 Fargo-Moorhead, ND/MN 2560 Fayetteville, NC 2580 Fayetteville-Springdale, AR 2600 Fitchburg-Leominster, MA 2620 Flagstaff, AZ-UT 2650 Florence, AL 2680 Fort Lauderdale-Hollywood-Pompano Beach, FL 2700 Fort Myers-Cape Coral, FL 2710 Fort Pierce, FL 2720 Fort Smith, AR/OK 2750 Fort Walton Beach, FL 2760 Fort Wayne, IN 2840 Fresno, CA 2880 Gadsden, AL 2900 Gainesville, FL 2920 Galveston-Texas City, TX 2970 Glens Falls, NY 2980 Goldsboro, NC 3000 Grand Rapids, MI 3060 Greeley, CO 3080 Green Bay, WI 3120 Greensboro-High Point, NC 3150 Greenville, NC 3160 Greenville, SC 3180 Hagerstown, MD 3200 Hamilton-Middleton, OH 3240 Harrisburg, PA 3280 Hartford, CT 3290 Hickory-Morgantown, NC 3300 Hattiesburg, MS 3320 Honolulu, HI 3350 Houma-Thibodoux, LA 3360 Houston, TX 3361 Brazoria, TX 3440 Huntsville, AL 3480 Indianapolis, IN 3500 Iowa City, IA 3520 Jackson, MI 3560 Jackson, MS 3580 Jackson, TN 3590 Jacksonville, FL 3600 Jacksonville, NC 3610 Jamestown-Dunkirk, NY 3620 Janesville-Beloit, WI 3660 Johnson City-Kingsport-Bristol, TN/VA 3680 Johnstown, PA 3710 Joplin, MO 3720 Kalamazo, MI 3740 Kankakee, IL 3760 Kansas City, MO/KS 3800 Kenosha, WI 3810 Killeen-Temple, TX 3840 Knoxville, TN 3850 Kokomo, IN 3870 LaCrosse, WI 3880 Lafayette, LA 3920 Lafayette-W.Lafayette, IN 3960 Lake Charles, LA 3980 Lakeland-Winterhaven, FL 4000 Lancaster, PA 4040 Lansing, MI 4080 Laredo, TX 4100 Las Cruces, NM 4120 Las Vegas, NV 4280 Lexington-Fayette, KY 4320 Lima, OH 4360 Lincoln, NE 4400 Little Rock-North Little Rock, AR 4420 Longview-Marshall, TX 4480 Los Angeles, CA 4482 Orange County, CA 4520 Louisville, KY/IN 4600 Lubbock, TX 4640 Lynchburg, VA 4680 Bibb, GA 4720 Madison, WI 4760 Manchester, NH 4800 Mansfield, OH 4880 McAllen-Edinburg-Pharr-Mission, TX 4890 Medford, OR 4900 Melbourne-Titusville-Cocoa-Palm Bay, FL 4920 Memphis, TN 4940 Merced, CA 5080 Milwaukee, WI 5120 Minneapolis-St. Paul, MN 5160 Mobile, AL 5170 Modesto, CA 5190 Monmouth-Ocean, NJ 5200 Monroe, LA 5240 Montgomery, AL 5280 Muncie, IN 5330 Myrtle Beach, SC 5340 Naples, FL 5350 Nashua, NH 5360 Nashville, TN 5400 Bristol, MA 5480 New Haven, CT 5560 New Orleans, LA 5600 New York-Northeastern NJ 5601 Nassau-Suffolk, NY 5602 Bergen-Passaic, NJ 5603 Jersey City, NJ 5604 Middlesex-Somerset-Hunterdon, NJ 5605 Newark, NJ 5660 Newburgh-Middletown, NY 5720 Norfolk-Portsmouth, VA 5790 Ocala, FL 5800 Odessa, TX 5910 Olympia, WA 5920 Omaha, NE 5960 Orlando, FL 6010 Panama City, FL 6080 Pensacola, FL 6120 Peoria, IL 6160 Philadelphia, PA/NJ 6200 Phoenix, AZ 6280 Pittsburgh, PA 6400 Portland, ME 6440 Portland, OR/WA 6480 Providence, RI 6520 Provo-Urem, UT 6580 Punta Gorda, FL 6600 Racine, WI 6640 Raleigh, NC 6680 Reading, PA 6690 Redding, CA 6720 Reno, NV 6740 Richland-Kennewick-Pasco, WA 6760 Richmond, VA 6761 Roanoke, VA 6780 Riverside, CA 6820 Rochester, MN 6840 Rochester, NY 6880 Rockford, IL 6895 Rocky Mount, NC 6920 Sacramento, CA 6960 Saginaw, MI 6980 St. Cloud, MN 7000 St. Joseph, MO 7040 St. Louis, MO/IL 7080 Salem, OR 7160 Salt Lake City, UT 7240 San Antonio, TX 7320 San Diego, CA 7360 San Francisco-Oakland, CA 7361 Oakland, CA 7362 Vallejo-Fairfield-Napa, CA 7400 San Jose, CA 7460 San Luis Obispo-Atascadero-Paso Robles, CA 7470 Santa Barbara-Santa Maria-Lompoc, CA 7480 Santa Cruz, CA 7490 Santa Fe, NM 7500 Santa Rosa-Petaluma, CA 7510 Sarasota, FL 7520 Savannah, GA 7560 Scranton, PA 7600 Seattle, WA 7610 Sharon, PA 7620 Sheboygan, WI 7680 Shreveport, LA 7720 Sioux City, IA 7800 South Bend, IN 7840 Spokane, WA 7920 Springfield, MO 8000 Springfield-Holyoke, MA 8040 Stamford, CT 8050 State College, PA 8120 Stockton, CA 8140 Sumter, SC 8160 Syracuse, NY 8200 Tacoma, WA 8240 Tallahassee, FL 8280 Tampa-St. Petersburg, FL 8320 Terre Haute, IN 8400 Toledo, OH 8440 Topeka, KS 8480 Trenton, NJ 8520 Tucson, AZ 8600 Tuscaloosa, AL 8640 Tyler, TX 8680 Utica-Rome, NY 8730 Ventura-Oxnard-Simi Valley, CA 8760 Vineland-Millville-Bridgeton, NJ 8780 Visalia-Tulare-Porterville, CA 8800 Waco, TX 8840 Washington, DC/MD/VA 8880 Waterbury, CT 8920 Waterloo-Cedar Falls, IA 8940 Wausau, WI 8960 West Palm Beach-Boca Raton-Delray Beach, FL 9040 Wichita, KS 9080 Wichita Falls, TX 9140 Williamsport, PA 9160 Wilmington, DE 9200 Wilmington, NC 9240 Worcester, MA 9260 Yakima, WA 9270 Yolo, CA 9280 York, PA 9320 Youngstown, OH/PA 9340 Yuba City, CA 9360 Yuma, AZ 9998 Unknown This variable indicates the person's metropolitan area of residence 1 year ago. Migration Variables -- PERSON IPUMS Metropolitan status 1 year ago Metropolitan status 1 year ago Metropolitan status 1 year ago Metropolitan status 1 year ago Metropolitan status 1 year ago 15. a) Did this person live in this house or apartment 1 year ago? [] Person is under 1 year old -&gt; skip to question 16. [] Yes, this house -&gt; skip to question 16 [] No, outside the United States and Puerto Rico - Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16. ____ [] No, different house in the United States or Puerto Rico b) Where did this person live 1 year ago? Address (Number and street name) ____ Name of city, town, or post office ____ Name or U.S. county or municipio in Puerto Rico ____ Name of U.S. state or Puerto Rico zip code ____ Persons 1+ who were living in another house 1 year ago NIU (not in universe) 1 Not in a metro area 2 In a metro area, central city status unknown 3 Central city 4 Not central city 5 Abroad 9 Unknown This variable indicates the person's metropolitan status of residence 1 year ago. Migration Variables -- PERSON IPUMS When occupant moved into residence When occupant moved into residence When occupant moved into residence When occupant moved into residence When occupant moved into residence 3. When did person 1 (listed on page 2) move into this house, apartment, or mobile home? Month: ___ Year: _____ Household heads NIU (not in universe) 1 This year or last year 2 2 years ago 3 3 years ago 4 4 to 6 years ago 5 7 to 10 years ago 6 11 to 20 years ago 7 21+ years ago This variable indicates when the occupant moved into residence. Migration Variables -- PERSON IPUMS Place of work: metropolitan status Place of work: metropolitan status Place of work: metropolitan status Place of work: metropolitan status Place of work: metropolitan status 30. At what location did this person work last week? If this person worked at more than one location, print where he or she worked most last week. a) Address (Number and street name) ____ If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection. b) Name of city, town, or post office ____ c) Is the work location inside the limits of that city or town? [] Yes [] No, outside the city/town limits d) Name of county ____ e) Name of U.S. state or foreign country ____ f) ZIP Code: ____ Persons age 16+ at work last week NIU (not in universe) 1 In central city 4 Not central city 5 Central city status unknown 7 Outside metropolitan area 9 Unknown This variable indicates the metropolitan status of the person's place of work. Work Variables -- PERSON IPUMS Place of work: state Place of work: state Place of work: state Place of work: state Place of work: state 30. At what location did this person work last week? If this person worked at more than one location, print where he or she worked most last week. a) Address (Number and street name) ____ If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection. b) Name of city, town, or post office ____ c) Is the work location inside the limits of that city or town? [] Yes [] No, outside the city/town limits d) Name of county ____ e) Name of U.S. state or foreign country ____ f) ZIP Code: ____ Persons age 16+ at work last week NIU (not in universe) 1 Alabama 2 Alaska 4 Arizona 5 Arkansas 6 California 8 Colorado 9 Connecticut 10 Delaware 11 District of Columbia 12 Florida 13 Georgia 15 Hawaii 16 Idaho 17 Illinois 18 Indiana 19 Iowa 20 Kansas 21 Kentucky 22 Louisiana 23 Maine 24 Maryland 25 Massachusetts 26 Michigan 27 Minnesota 28 Mississippi 29 Missouri 30 Montana 31 Nebraska 32 Nevada 33 New Hampshire 34 New Jersey 35 New Mexico 36 New York 37 North Carolina 38 North Dakota 39 Ohio 40 Oklahoma 41 Oregon 42 Pennsylvania 44 Rhode island 45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah 50 Vermont 51 Virginia 53 Washington 54 West Virginia 55 Wisconsin 56 Wyoming 72 Puerto Rico 81 Europe 82 Eastern Asia 83 Other Asia, not specified 84 Mexico 85 Other Americas 86 Other, not elsewhere classified 87 Iraq This variable indicates the state in which the person's place of work is located. Work Variables -- PERSON IPUMS Independent living difficulty Independent living difficulty Independent living difficulty Independent living difficulty Independent living difficulty 19. Because of a physical, mental, or emotional condition, does this person have difficulty doing errands alone such as visiting a doctor's office or shopping? [] Yes [] No Persons 15+ NIU (not in universe) 1 No independent living difficulty 2 Has independent living difficulty This variable indicates whether the person has an independent living difficulty. Disability Variables -- PERSON IPUMS Self-care difficulty Self-care difficulty Self-care difficulty Self-care difficulty Self-care difficulty c) Does this person have difficulty dressing or bathing? [] Yes [] No Persons 5+ NIU (not in universe) 1 No 2 Yes This variable indicates whether the person has a self-care difficulty. Disability Variables -- PERSON IPUMS Veteran, served 1980 to 1990 Veteran, served 1980 to 1990 Veteran, served 1980 to 1990 Veteran, served 1980 to 1990 Veteran, served 1980 to 1990 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served between 1980 and 1990. Other Person Variables -- PERSON IPUMS Veteran, served 1975 to 1980 Veteran, served 1975 to 1980 Veteran, served 1975 to 1980 Veteran, served 1975 to 1980 Veteran, served 1975 to 1980 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served between 1975 and 1980 . Other Person Variables -- PERSON IPUMS Veteran, served during Vietnam era Veteran, served during Vietnam era Veteran, served during Vietnam era Veteran, served during Vietnam era Veteran, served during Vietnam era 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, Vietnam-era veteran This variable indicates whether the person is a veteran who served during the Vietnam era. Other Person Variables -- PERSON IPUMS Veteran, served 1955 to 1964 Veteran, served 1955 to 1964 Veteran, served 1955 to 1964 Veteran, served 1955 to 1964 Veteran, served 1955 to 1964 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served between 1955 and 1964. Other Person Variables -- PERSON IPUMS Veteran, served during Korean conflict era Veteran, served during Korean conflict era Veteran, served during Korean conflict era Veteran, served during Korean conflict era Veteran, served during Korean conflict era 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served during the Korean conflict era. Other Person Variables -- PERSON IPUMS Veteran, served during WWII era Veteran, served during WWII era Veteran, served during WWII era Veteran, served during WWII era Veteran, served during WWII era 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served during the WWII era. Other Person Variables -- PERSON IPUMS Veteran of other period Veteran of other period Veteran of other period Veteran of other period Veteran of other period 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period(s) This variable indicates whether the person is a veteran who served during another period. Other Person Variables -- PERSON IPUMS Means of transportation to work Means of transportation to work Means of transportation to work Means of transportation to work Means of transportation to work 31. How did this person usually get to work last week? If this person usually used more than one method of transportation during the trip, mark (X) the box of the one used for most of the distance [] Car, truck, or van [] Bus or trolley bus [] Streetcar or trolley car [] Subway or elevated [] Railroad [] Ferryboat [] Taxicab [] Motorcycle [] Bicycle [] Walked [] Worked at home -&gt; skip to question 38a [] Other method Persons age 16+ at work last week NIU (not in universe) 10 Auto, truck, or van 20 Motorcycle 31 Bus or trolley bus 32 Streetcar or trolley car 33 Subway or elevated 34 Railroad 35 Taxicab 36 Ferryboat 40 Bicycle 50 Walked only 60 Other 70 Worked at home This variable indicates the person's means of transportation to work. Work Variables -- PERSON IPUMS Carpooling Carpooling Carpooling Carpooling Carpooling 32. How many people, including this person, usually rode to work in the car, truck or van last week? Person(s): _____ Persons whose means of transportation is an auto, truck, or van NIU (not in universe) 1 Drives alone 2 Carpools This variable indicates whether the person used carpooling to go to work during the previous week. Work Variables -- PERSON IPUMS Vehicle occupancy Vehicle occupancy Vehicle occupancy Vehicle occupancy Vehicle occupancy 32. How many people, including this person, usually rode to work in the car, truck or van last week? Person(s): _____ Persons whose means of transportation is an auto, truck, or van NIU (not in universe) 1 Drives alone 2 2 people 3 3 4 4 5 5 6 6 8 7 to 9 9 10 or more This variable indicates how many people (including the respondent) usually rode to work in the vehicle that the respondent took to work during the previous week. Work Variables -- PERSON IPUMS Time of departure for work last week Time of departure for work last week Time of departure for work last week Time of departure for work last week Time of departure for work last week 33. What time did this person usually leave home to go to work last week? Hour: _ _ Minute: _ _ [] am [] pm Persons age 16+ at work last week outside home NIU (not in universe) 15 0:15 45 0:45 115 1:15 145 1:45 215 2:15 245 2:45 305 3:05 315 3:15 325 3:25 335 3:35 345 3:45 355 3:55 405 4:05 415 4:15 425 4:25 435 4:35 445 4:45 455 4:55 502 5:02 507 5:07 512 5:12 517 5:17 522 5:22 527 5:27 532 5:32 537 5:37 542 5:42 547 5:47 552 5:52 557 5:57 602 6:02 607 6:07 612 6:12 617 6:17 622 6:22 627 6:27 632 6:32 637 6:37 642 6:42 647 6:47 652 6:52 657 6:57 702 7:02 707 7:07 712 7:12 717 7:17 722 7:22 727 7:27 732 7:32 737 7:37 742 7:42 747 7:47 752 7:52 757 7:57 802 8:02 807 8:07 812 8:12 817 8:17 822 8:22 827 8:27 832 8:32 837 8:37 842 8:42 847 8:47 852 8:52 857 8:57 902 9:02 907 9:07 912 9:12 917 9:17 922 9:22 927 9:27 932 9:32 937 9:37 942 9:42 947 9:47 952 9:52 957 9:57 1005 10:05 1015 10:15 1025 10:25 1035 10:35 1045 10:45 1055 10:55 1105 11:05 1115 11:15 1125 11:25 1135 11:35 1145 11:45 1155 11:55 1205 12:05 1215 12:15 1225 12:25 1235 12:35 1245 12:45 1255 12:55 1305 13:05 1315 13:15 1325 13:25 1335 13:35 1345 13:45 1355 13:55 1405 14:05 1415 14:15 1425 14:25 1435 14:35 1445 14:45 1455 14:55 1505 15:05 1515 15:15 1525 15:25 1535 15:35 1545 15:45 1555 15:55 1605 16:05 1615 16:15 1625 16:25 1635 16:35 1645 16:45 1655 16:55 1705 17:05 1715 17:15 1725 17:25 1735 17:35 1745 17:45 1755 17:55 1805 18:05 1815 18:15 1825 18:25 1835 18:35 1845 18:45 1855 18:55 1915 19:15 1945 19:45 2015 20:15 2045 20:45 2105 21:05 2115 21:15 2125 21:25 2135 21:35 2145 21:45 2155 21:55 2205 22:05 2215 22:15 2225 22:25 2235 22:35 2245 22:45 2255 22:55 2315 23:15 2345 23:45 This variable indicates the person's time of departure for work. Work Variables -- PERSON IPUMS Quarter of birth Quarter of birth Quarter of birth Quarter of birth Quarter of birth Quarter of birth All persons 1 January-February-March 2 April-May-June 3 July-August-September 4 October-November-December This variable indicates the person's quarter of birth. Demographic Variables -- PERSON IPUMS Place of work: metropolitan area Place of work: metropolitan area Place of work: metropolitan area Place of work: metropolitan area Place of work: metropolitan area 30. At what location did this person work last week? If this person worked at more than one location, print where he or she worked most last week. a) Address (Number and street name) ____ If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection. b) Name of city, town, or post office ____ c) Is the work location inside the limits of that city or town? [] Yes [] No, outside the city/town limits d) Name of county ____ e) Name of U.S. state or foreign country ____ f) ZIP Code: ____ Persons age 16+ who worked last year in a metropolitan area 40 Abilene, TX 60 Aguadilla, PR 80 Akron, OH 120 Albany, GA 160 Albany-Schenectady-Troy, NY 200 Albuquerque, NM 220 Alexandria, LA 240 Allentown-Bethlehem-Easton, PA/NJ 280 Altoona, PA 320 Amarillo, TX 380 Anchorage, AK 440 Ann Arbor, MI 450 Anniston, AL 460 Appleton-Oskosh-Neenah, WI 480 Asheville, NC 500 Athens, GA 520 Atlanta, GA 560 Atlantic City, NJ 580 Auburn-Opelika, AL 600 Augusta-Aiken, GA-SC 640 Austin, TX 680 Bakersfield, CA 720 Baltimore, MD 740 Barnstable-Yarmouth, MA 760 Baton Rouge, LA 840 Beaumont-Port Arthur-Orange, TX 860 Bellingham, WA 870 Benton Harbor, MI 880 Billings, MT 920 Biloxi-Gulfport, MS 960 Binghamton, NY 1000 Birmingham, AL 1020 Bloomington, IN 1040 Bloomington-Normal, IL 1080 Boise City, ID 1120 Boston, MA 1121 Lawrence-Haverhill, MA/NH 1122 Lowell, MA/NH 1150 Bremerton, WA 1160 Bridgeport, CT 1200 Brockton, MA 1240 Brownsville - Harlingen-San Benito, TX 1260 Bryan-College Station, TX 1280 Buffalo-Niagara Falls, NY 1290 Caguas, PR 1320 Canton, OH 1360 Cedar Rapids, IA 1400 Champaign-Urbana-Rantoul, IL 1440 Charleston-N.Charleston,SC 1520 Charlotte-Gastonia-Rock Hill, SC 1540 Charlottesville, VA 1560 Chattanooga, TN/GA 1600 Chicago-Gary-Lake IL 1602 Gary-Hammond-East Chicago, IN 1620 Chico, CA 1640 Cincinnati, OH/KY/IN 1660 Clarksville- Hopkinsville, TN/KY 1680 Cleveland, OH 1720 Colorado Springs, CO 1740 Columbia, MO 1760 Columbia, SC 1800 Columbus, GA/AL 1840 Columbus, OH 1880 Corpus Christi, TX 1920 Dallas-Fort Worth, TX 1921 Fort Worth-Arlington, TX 1930 Danbury, CT 1950 Danville, VA 1960 Davenport, IA-Rock Island-Moline, IL 2000 Dayton-Springfield, OH 2020 Daytona Beach, FL 2030 Decatur, AL 2040 Decatur, IL 2120 Des Moines, IA 2160 Detroit, MI 2180 Dothan, AL 2190 Dover, DE 2240 Duluth-Superior, MN/WI 2281 Dutchess County, NY 2290 Eau Claire, WI 2310 El Paso, TX 2320 Elkhart-Goshen, IN 2360 Erie, PA 2400 Eugene-Springfield, OR 2440 Evansville, IN/KY 2520 Fargo-Moorhead, ND/MN 2560 Fayetteville, NC 2580 Fayetteville-Springdale, AR 2600 Fitchburg-Leominster, MA 2620 Flagstaff, AZ-UT 2640 Flint, MI 2650 Florence, AL 2670 Fort Collins-Loveland, CO 2680 Fort Lauderdale-Hollywood-Pompano Beach, FL 2700 Fort Myers-Cape Coral, FL 2710 Fort Pierce, FL 2720 Fort Smith, AR/OK 2750 Fort Walton Beach, FL 2760 Fort Wayne, IN 2840 Fresno, CA 2880 Gadsden, AL 2900 Gainesville, FL 2920 Galveston-Texas City, TX 2970 Glens Falls, NY 2980 Goldsboro, NC 3000 Grand Rapids, MI 3060 Greeley, CO 3080 Green Bay, WI 3120 Greensboro-Winston Salem-High Point, NC 3150 Greenville, NC 3160 Greenville-Spartenburg-Anderson, SC 3180 Hagerstown, MD 3200 Hamilton-Middleton, OH 3240 Harrisburg-Lebanon-Carlisle, PA 3280 Hartford-Bristol-Middleton-New Britian, CT 3285 Hattiesburg, MS 3290 Hickory-Morgantown, NC 3320 Honolulu, HI 3350 Houma-Thibodoux, LA 3360 Houston-Brazoria, TX 3361 Brazoria, TX 3440 Huntsville, AL 3480 Indianapolis, IN 3500 Iowa City, IA 3520 Jackson, MI 3560 Jackson, MS 3580 Jackson, TN 3590 Jacksonville, FL 3600 Jacksonville, NC 3610 Jamestown-Dunkirk, NY 3620 Janesville-Beloit, WI 3660 Johnson City-Kingsport-Bristol, TN/VA 3680 Johnstown, PA 3710 Joplin, MO 3720 Kalamazoo-Portage, MI 3740 Kankakee, IL 3760 Kansas City, MO-KS 3800 Kenosha, WI 3810 Killeen-Temple, TX 3840 Knoxville, TN 3850 Kokomo, IN 3870 LaCrosse, WI 3880 Lafayette, LA 3920 Lafayette-W. Lafayette,IN 3960 Lake Charles, LA 3980 Lakeland-Winterhaven, FL 4000 Lancaster, PA 4040 Lansing-E. Lansing, MI 4080 Laredo, TX 4100 Las Cruces, NM 4120 Las Vegas, NV 4280 Lexington-Fayette, KY 4320 Lima, OH 4360 Lincoln, NE 4400 Little Rock-North Little Rock, AR 4420 Longview-Marshall, TX 4480 Los Angeles-Long Beach, CA 4482 Orange County, CA 4520 Louisville, KY/IN 4600 Lubbock, TX 4640 Lynchburg, VA 4680 Macon-Warner Robins, GA 4720 Madison, WI 4760 Manchester, NH 4800 Mansfield, OH 4880 McAllen-Edinburg-Pharr-Mission, TX 4890 Medford, OR 4900 Melbourne-Titusville-Cocoa-Palm Bay, FL 4920 Memphis, TN/AR/MS 4940 Merced, CA 5080 Milwaukee, WI 5120 Minneapolis-St. Paul, MN 5160 Mobile, AL 5170 Modesto, CA 5190 Monmouth-Ocean, NJ 5200 Monroe, LA 5240 Montgomery, AL 5280 Muncie, IN 5330 Myrtle Beach, SC 5340 Naples, FL 5350 Nashua, NH 5360 Nashville, TN 5400 New Bedford, MA 5480 New Haven-Meriden, CT 5560 New Orleans, LA 5600 New York-Northeastern NJ 5601 Nassau-Suffolk, NY 5602 Bergen-Passaic, NJ 5603 Jersey City, NJ 5604 Middlesex-Somerset-Hunterdon, NJ 5605 Newark, NJ 5660 Newburgh-Middletown, NY 5720 Norfolk-VA Beach-Newport News, VA 5790 Ocala, FL 5800 Odessa, TX 5880 Oklahoma City, OK 5910 Olympia, WA 5920 Omaha, NE/IA 5960 Orlando, FL 6010 Panama City, FL 6080 Pensacola, FL 6120 Peoria, IL 6160 Philadelphia, PA/NJ 6200 Phoenix, AZ 6280 Pittsburgh-Beaver Valley, PA 6400 Portland, ME 6440 Portland-Vancouver, OR 6480 Providence-Fall River-Pawtuckett, MA 6520 Provo-Orem, UT 6580 Punta Gorda, FL 6600 Racine, WI 6640 Raleigh-Durham, NC 6680 Reading, PA 6690 Redding, CA 6720 Reno, NV 6740 Richland-Kennewick-Pasco, WA 6760 Richmond-Petersburg, VA 6780 Riverside-San Bernadino,CA 6800 Roanoke, VA 6820 Rochester, MN 6840 Rochester, NY 6880 Rockford, IL 6895 Rocky Mount, NC 6920 Sacramento, CA 6960 Saginaw-Bay City-Midland, MI 6980 St. Cloud, MN 7000 St. Joseph, MO 7040 St. Louis, MO 7080 Salem, OR 7120 Salinas-Sea Side-Monterey, CA 7160 Salt Lake City-Ogden, UT 7240 San Antonio, TX 7320 San Diego, CA 7360 San Francisco-Oakland-Vallejo, CA 7361 Oakland, CA 7362 Vallejo-Fairfield-Napa, CA 7400 San Jose, CA 7440 San Juan-Bayamon, PR 7460 San Luis Obispo Atascad-P Robles, CA 7470 Santa Barbara-Santa Maria-Lompoc, CA 7480 Santa Cruz, CA 7490 Santa Fe, NM 7500 Santa Rosa-Petaluma, CA 7510 Sarasota, FL 7520 Savannah, GA 7560 Scranton-Wilkes-Barre, PA 7600 Seattle-Everett, WA 7610 Sharon, PA 7620 Sheboygan, WI 7680 Shreveport, LA 7720 Sioux City, IA/NE 7760 Sioux Falls, SD 7800 South Bend-Mishawaka, IN 7840 Spokane, WA 7880 Springfield, IL 7920 Springfield, MO 8000 Springfield-Holyoke-Chicopee, MA 8040 Stamford, CT 8050 State College, PA 8120 Stockton, CA 8140 Sumter, SC 8160 Syracuse, NY 8200 Tacoma, WA 8240 Tallahassee, FL 8280 Tampa-St. Petersburg-Clearwater, FL 8320 Terre Haute, IN 8400 Toledo, OH/MI 8440 Topeka, KS 8480 Trenton, NJ 8520 Tucson, AZ 8560 Tulsa, OK 8600 Tuscaloosa, AL 8640 Tyler, TX 8680 Utica-Rome, NY 8730 Ventura-Oxnard-Simi Valley 8760 Vineland-Milville-Bridgetown, NJ 8780 Visalia-Tulare -Porterville, CA 8800 Waco, TX 8840 Washington, DC/MD/VA 8880 Waterbury, CT 8920 Waterloo-Cedar Falls, IA 8940 Wausau, WI 8960 West Palm Beach-Boca Raton -Delray Beach, FL 9040 Wichita, KS 9080 Wichita Falls, TX 9140 Williamsport, PA 9160 Wilmington, DE/NJ/MD 9200 Wilmington, NC 9240 Worcester, MA 9260 Yakima, WA 9270 Yolo, CA 9280 York, PA 9320 Youngstown-Warren, OH-PA 9340 Yuba City, CA 9360 Yuma, AZ 9998 Unknown 9999 NIU (not in universe) This variable indicates the person's place of work, metropolitan area. Work Variables -- PERSON IPUMS Place of work: city Place of work: city Place of work: city Place of work: city Place of work: city 30. At what location did this person work last week? If this person worked at more than one location, print where he or she worked most last week. a) Address (Number and street name) ____ If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection. b) Name of city, town, or post office ____ c) Is the work location inside the limits of that city or town? [] Yes [] No, outside the city/town limits d) Name of county ____ e) Name of U.S. state or foreign country ____ f) ZIP Code: ____ Persons age 16+ who worked last year in a metropolitan area 10 Akron, OH 90 Alexandria, VA 130 Allentown, PA 210 Anchorage, AK 270 Ann Arbor, MI 510 Bakersfield, CA 530 Baltimore, MD 590 Baton Rouge, LA 670 Beaumont, TX 680 Bellevue, WA 800 Boise, ID 810 Boston, MA 830 Bridgeport, CT 880 Brownsville, TX 890 Buffalo, NY 930 Cambridge, MA 1000 Cape Coral, FL 1090 Charlotte, NC 1110 Chattanooga, TN 1150 Chesapeake, VA 1190 Chicago, IL 1290 Cincinnati, OH 1410 Columbia, SC 1450 Columbus, OH 1500 Corona, CA 1520 Corpus Christi, TX 1670 Dayton, OH 1730 Des Moines, IA 1750 Detroit, MI 1800 Downey, CA 1990 El Monte, CA 2050 Elizabeth, NJ 2090 Erie, PA 2170 Evansville, IN 2240 Fayetteville, NC 2260 Fontana, CA 2270 Flint, MI 2300 Fort Collins, CO 2330 Fort Wayne, IN 2370 Fresno, CA 2470 Gary, IN 2530 Grand Rapids, MI 2550 Green Bay, WI 2570 Greensboro, NC 2650 Hampton, VA 2710 Hartford, CT 2950 Huntsville, AL 2970 Independence, MO 3010 Inglewood, CA 3020 Irvine, CA 3090 Jackson, MS 3150 Jersey City, NJ 3260 Kansas City, MO 3330 Knoxville, TN 3390 Lafayette, LA 3440 Lancaster, CA 3470 Lansing, MI 3590 Lexington-Fayette, KY 3650 Little Rock, AR 3670 Livonia, MI 3690 Long Beach, CA 3770 Lowell, MA 3870 Madison, WI 3910 Manchester, NH 3960 McAllen, TX 4010 Memphis, TN 4130 Milwaukee, WI 4150 Minneapolis, MN 4170 Mobile, AL 4190 Modesto, CA 4250 Montgomery, AL 4270 Moreno Valley, CA 4530 New Haven, CT 4570 New Orleans, LA 4610 New York, NY 4630 Newark, NJ 4750 Newport News, VA 4810 Norfolk, VA 4860 Norwalk, CA 4990 Oklahoma City, OK 5030 Ontario, CA 5130 Oxnard, CA 5140 Palmdale, CA 5170 Pasadena, TX 5210 Paterson, NJ 5270 Peoria, IL 5330 Philadelphia, PA 5370 Pittsburgh, PA 5450 Pomona, CA 5650 Providence, RI 5750 Raleigh, NC 5770 Rancho Cucamonga, CA 5810 Reno, NV 5870 Richmond, VA 5890 Riverside, CA 5930 Rochester, NY 5970 Rockford, IL 6030 Sacramento, CA 6090 Saint Louis, MO 6110 Saint Paul, MN 6190 Salinas, CA 6250 San Bernadino, CA 6290 San Francisco, CA 6340 Santa Clarita, CA 6370 Savannah, GA 6430 Seattle, WA 6500 Simi Valley, CA 6530 Sioux Falls, SD 6590 South Bend, IN 6630 Spokane, WA 6650 Springfield, IL 6670 Springfield, MA 6690 Springfield, MO 6730 Stamford, CT 6750 Sterling Heights, MI 6790 Stockton, CA 6850 Syracuse, NY 6870 Tacoma, WA 6960 Thousand Oaks, CA 6970 Toledo, OH 7000 Torrance, CA 7070 Tulsa, OK 7100 Vancouver, WA 7130 Virginia Beach, VA 7180 Warren, MI 7230 Washington, DC 7250 Waterbury, CT 7320 West Covina, CA 7410 Wichita, KS 7530 Winston-Salem, NC 7570 Worcester, MA 7590 Yonkers, NY 9998 Unknown 9999 NIU (not in universe) This variable indicates the city where person's place of work is located. Work Variables -- PERSON IPUMS Flag for age Flag for age Flag for age Flag for age Flag for age Flag for age All persons Entered as written 4 Allocated This variable is a quality flag for age. Person Imputation Flags Variables -- PERSON IPUMS Flag for departs Flag for departs Flag for departs Flag for departs Flag for departs Flag for departs All persons Not allocated 4 Allocated This variable is a quality flag for departs. Person Imputation Flags Variables -- PERSON IPUMS Flag for bpl, nativity Flag for bpl, nativity Flag for bpl, nativity Flag for bpl, nativity Flag for bpl, nativity Flag for bpl, nativity All persons Entered as written 4 Allocated This variable is a quality flag for bpl, nativity. Person Imputation Flags Variables -- PERSON IPUMS Flag for carpool Flag for carpool Flag for carpool Flag for carpool Flag for carpool Flag for carpool All persons Not allocated 4 Allocated This variable is a quality flag for carpool. Person Imputation Flags Variables -- PERSON IPUMS Flag for maryr Flag for maryr Flag for maryr Flag for maryr Flag for maryr Flag for maryr All persons [no label] 4 [no label] This variable is a quality flag for maryr. Person Imputation Flags Variables -- PERSON IPUMS Flag for citizen Flag for citizen Flag for citizen Flag for citizen Flag for citizen Flag for citizen All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for citizen. Person Imputation Flags Variables -- PERSON IPUMS Flag for classwkr Flag for classwkr Flag for classwkr Flag for classwkr Flag for classwkr Flag for classwkr All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for classwkr. Person Imputation Flags Variables -- PERSON IPUMS Flag for language, speakeng Flag for language, speakeng Flag for language, speakeng Flag for language, speakeng Flag for language, speakeng Flag for language, speakeng All persons 4 This variable is a quality flag for language, speakeng. Person Imputation Flags Variables -- PERSON IPUMS Flag for natur Flag for natur Flag for natur Flag for natur Flag for natur Flag for natur All persons [no label] 4 [no label] This variable is a quality flag for natur. Person Imputation Flags Variables -- PERSON IPUMS Flag for empstat, labforce Flag for empstat, labforce Flag for empstat, labforce Flag for empstat, labforce Flag for empstat, labforce Flag for empstat, labforce All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for empstat, labforce. Person Imputation Flags Variables -- PERSON IPUMS Flag for educrec, higrade, educ99 Flag for educrec, higrade, educ99 Flag for educrec, higrade, educ99 Flag for educrec, higrade, educ99 Flag for educrec, higrade, educ99 Flag for educrec, higrade, educ99 All persons Original entry or Inapplicable (not in universe) 4 Consistency edit This variable is a quality flag for educrec, higrade, educ99. Person Imputation Flags Variables -- PERSON IPUMS Flag for incbus, inctot, incearn Flag for incbus, inctot, incearn Flag for incbus, inctot, incearn Flag for incbus, inctot, incearn Flag for incbus, inctot, incearn Flag for incbus, inctot, incearn All persons Not allocated 4 Allocated This variable is a quality flag for incbus, inctot, incearn. Person Imputation Flags Variables -- PERSON IPUMS Flag for incinvst, inctot Flag for incinvst, inctot Flag for incinvst, inctot Flag for incinvst, inctot Flag for incinvst, inctot Flag for incinvst, inctot All persons Not allocated or N/A 4 Allocated This variable is a quality flag for incinvst, inctot. Person Imputation Flags Variables -- PERSON IPUMS Flag for incother, inctot Flag for incother, inctot Flag for incother, inctot Flag for incother, inctot Flag for incother, inctot Flag for incother, inctot All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for incother, inctot. Person Imputation Flags Variables -- PERSON IPUMS Flag for incss, inctot Flag for incss, inctot Flag for incss, inctot Flag for incss, inctot Flag for incss, inctot Flag for incss, inctot All persons Not allocated 4 Allocated This variable is a quality flag for incss, inctot. Person Imputation Flags Variables -- PERSON IPUMS Flag for incwage, inctot, incearn Flag for incwage, inctot, incearn Flag for incwage, inctot, incearn Flag for incwage, inctot, incearn Flag for incwage, inctot, incearn Flag for incwage, inctot, incearn All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for incwage, inctot, incearn. Person Imputation Flags Variables -- PERSON IPUMS Flag for incwelfr, inctot Flag for incwelfr, inctot Flag for incwelfr, inctot Flag for incwelfr, inctot Flag for incwelfr, inctot Flag for incwelfr, inctot All persons Not allocated 4 Allocated This variable is a quality flag for incwelfr, inctot. Person Imputation Flags Variables -- PERSON IPUMS Flag for ind, ind1950 Flag for ind, ind1950 Flag for ind, ind1950 Flag for ind, ind1950 Flag for ind, ind1950 Flag for ind, ind1950 All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for ind, ind1950. Person Imputation Flags Variables -- PERSON IPUMS Flag for diffmob Flag for diffmob Flag for diffmob Flag for diffmob Flag for diffmob Flag for diffmob All persons Not allocated 4 Allocated This variable is a quality flag for diffmob. Person Imputation Flags Variables -- PERSON IPUMS Flag for marrno Flag for marrno Flag for marrno Flag for marrno Flag for marrno Flag for marrno All persons [no label] 4 [no label] This variable is a quality flag for marrno. Person Imputation Flags Variables -- PERSON IPUMS Flag for pwstate2 Flag for pwstate2 Flag for pwstate2 Flag for pwstate2 Flag for pwstate2 Flag for pwstate2 All persons Not allocated 4 Allocated This variable is a quality flag for pwstate2. Person Imputation Flags Variables -- PERSON IPUMS Flag for marst Flag for marst Flag for marst Flag for marst Flag for marst Flag for marst All persons Entered as written 4 Allocated This variable is a quality flag for marst. Person Imputation Flags Variables -- PERSON IPUMS Flag for incretir, inctot Flag for incretir, inctot Flag for incretir, inctot Flag for incretir, inctot Flag for incretir, inctot Flag for incretir, inctot All persons Not allocated 4 Allocated This variable is a quality flag for incretir, inctot. Person Imputation Flags Variables -- PERSON IPUMS Flag for migplac1 Flag for migplac1 Flag for migplac1 Flag for migplac1 Flag for migplac1 Flag for migplac1 All persons Not allocated 4 Failed edit This variable is a quality flag for migplac1. Person Imputation Flags Variables -- PERSON IPUMS Flag for migrate1 Flag for migrate1 Flag for migrate1 Flag for migrate1 Flag for migrate1 Flag for migrate1 All persons Not allocated 4 Allocated This variable is a quality flag for migrate1. Person Imputation Flags Variables -- PERSON IPUMS Flag for movedin Flag for movedin Flag for movedin Flag for movedin Flag for movedin Flag for movedin All persons Not allocated 4 Allocated This variable is a quality flag for movedin. Person Imputation Flags Variables -- PERSON IPUMS Flag for occ, occ1950, sei, occscore, occsoc, labforce Flag for occ, occ1950, sei, occscore, occsoc, labforce Flag for occ, occ1950, sei, occscore, occsoc, labforce Flag for occ, occ1950, sei, occscore, occsoc, labforce Flag for occ, occ1950, sei, occscore, occsoc, labforce Flag for occ, occ1950, sei, occscore, occsoc, labforce All persons Entered as written 4 Allocated This variable is a quality flag for occ, occ1950, sei, occscore, occsoc, labforce. Person Imputation Flags Variables -- PERSON IPUMS Flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, Flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, Flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, Flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, Flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, Flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, All persons Entered as written 4 Allocated This variable is a quality flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht. Person Imputation Flags Variables -- PERSON IPUMS Flag for relate Flag for relate Flag for relate Flag for relate Flag for relate Flag for relate All persons Entered as written 3 Missing 4 Allocated This variable is a quality flag for relate. Person Imputation Flags Variables -- PERSON IPUMS Flag for riders Flag for riders Flag for riders Flag for riders Flag for riders Flag for riders All persons Not allocated 4 Allocated This variable is a quality flag for riders. Person Imputation Flags Variables -- PERSON IPUMS Flag for school, schltype Flag for school, schltype Flag for school, schltype Flag for school, schltype Flag for school, schltype Flag for school, schltype All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for school, schltype. Person Imputation Flags Variables -- PERSON IPUMS Flag for sex Flag for sex Flag for sex Flag for sex Flag for sex Flag for sex All persons Entered as written 4 Allocated This variable is a quality flag for sex. Person Imputation Flags Variables -- PERSON IPUMS Flag for speakeng Flag for speakeng Flag for speakeng Flag for speakeng Flag for speakeng Flag for speakeng All persons Not allocated 4 Allocated, hot deck This variable is a quality flag for speakeng. Person Imputation Flags Variables -- PERSON IPUMS Flag for trantime Flag for trantime Flag for trantime Flag for trantime Flag for trantime Flag for trantime All persons Not allocated 4 Allocated This variable is a quality flag for trantime. Person Imputation Flags Variables -- PERSON IPUMS Flag for tranwork Flag for tranwork Flag for tranwork Flag for tranwork Flag for tranwork Flag for tranwork All persons Not allocated 4 Allocated This variable is a quality flag for tranwork. Person Imputation Flags Variables -- PERSON IPUMS Flag for uhrswork Flag for uhrswork Flag for uhrswork Flag for uhrswork Flag for uhrswork Flag for uhrswork All persons Not allocated 4 Allocated This variable is a quality flag for uhrswork. Person Imputation Flags Variables -- PERSON IPUMS Flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi Flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi Flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi Flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi Flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi Flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwi. Person Imputation Flags Variables -- PERSON IPUMS Flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47 Flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47 Flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47 Flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47 Flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47 Flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47 All persons Original entry or Inapplicable (not in universe) 4 Allocated This variable is a quality flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47. Person Imputation Flags Variables -- PERSON IPUMS Flag for wkswork1, wkswork2 Flag for wkswork1, wkswork2 Flag for wkswork1, wkswork2 Flag for wkswork1, wkswork2 Flag for wkswork1, wkswork2 Flag for wkswork1, wkswork2 All persons Original entry or Inapplicable (not in universe) 4 Allocated, pre-edit This variable is a quality flag for wkswork1, wkswork2. Person Imputation Flags Variables -- PERSON IPUMS Flag for workedyr Flag for workedyr Flag for workedyr Flag for workedyr Flag for workedyr Flag for workedyr All persons Not allocated 4 Allocated This variable is a quality flag for workedyr. Person Imputation Flags Variables -- PERSON IPUMS Flag for yrimmig, yrsusa1, yrsusa2 Flag for yrimmig, yrsusa1, yrsusa2 Flag for yrimmig, yrsusa1, yrsusa2 Flag for yrimmig, yrsusa1, yrsusa2 Flag for yrimmig, yrsusa1, yrsusa2 Flag for yrimmig, yrsusa1, yrsusa2 All persons Fields ok as written 4 Allocated, hot deck This variable is a quality flag for yrimmig, yrsusa1, yrsusa2. Person Imputation Flags Variables -- PERSON IPUMS Own grandchildren living in household Own grandchildren living in household Own grandchildren living in household Own grandchildren living in household Own grandchildren living in household 25. a) Does this person have any of his/her own grandchildren under the age of 18 living in this house or apartment? [] Yes [] No, skip to question Persons age 30+ NIU (not in universe) 1 No 2 Yes This variable indicates whether the person has their own grandchildren living in household. Other Person Variables -- PERSON IPUMS Children born within the last year Children born within the last year Children born within the last year Children born within the last year Children born within the last year 24. Has this person given birth to any children in the past 12 months? [] Yes [] No Females age 15-50 NIU (not in universe) 1 No 2 Yes This variable indicates whether the person has children born within the last year. Fertility and Mortality Variables -- PERSON IPUMS Race: American Indian or Alaska Native Race: American Indian or Alaska Native Race: American Indian or Alaska Native Race: American Indian or Alaska Native Race: American Indian or Alaska Native Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 1 No 2 Yes This variable indicates whether the person's race is identified as American Indian or Alaska Native. Ethnicity and Language Variables -- PERSON IPUMS Race: Asian Race: Asian Race: Asian Race: Asian Race: Asian Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 1 No 2 Yes This variable indicates whether the person's race is identified as Asian. Ethnicity and Language Variables -- PERSON IPUMS Race: black or African American Race: black or African American Race: black or African American Race: black or African American Race: black or African American Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 1 No 2 Yes This variable indicates whether the person's race is identified as Black or African American. Ethnicity and Language Variables -- PERSON IPUMS Race: Pacific Islander Race: Pacific Islander Race: Pacific Islander Race: Pacific Islander Race: Pacific Islander Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 1 No 2 Yes This variable indicates whether the person's race is identified as Pacific Islander. Ethnicity and Language Variables -- PERSON IPUMS Number of major race groups Number of major race groups Number of major race groups Number of major race groups Number of major race groups Number of major race groups All persons 1 1 race group 2 2 race groups 3 3 4 4 5 5 6 6 This variable indicates the person's number of major race groups. Ethnicity and Language Variables -- PERSON IPUMS Race: some other race Race: some other race Race: some other race Race: some other race Race: some other race Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 1 No 2 Yes This variable indicates whether the person's race is identified as some other race. Ethnicity and Language Variables -- PERSON IPUMS Race: white Race: white Race: white Race: white Race: white Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 1 No 2 Yes This variable indicates whether the person's race is identified as White. Ethnicity and Language Variables -- PERSON IPUMS Industry, NAICS classification Industry, NAICS classification Industry, NAICS classification Industry, NAICS classification Industry, NAICS classification 43. What kind of business or industry was this? Describe the activity at the location where employed. (For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, bank) ____ Persons age 16+ working within the last five years, not new workers NIU (not in universe) 3 3 4 4 22 22 23 23 31 31 33 33 42 42 52 52 53 53 55 55 92 92 111 111 112 112 113 113 114 114 115 115 211 211 213 213 221 221 311 311 314 314 316 316 325 325 327 327 331 331 332 332 333 333 334 334 335 335 336 336 337 337 424 424 442 442 446 446 447 447 451 451 481 481 482 482 483 483 484 484 485 485 486 486 487 487 488 488 491 491 492 492 493 493 515 515 517 517 522 522 524 524 531 531 532 532 561 561 562 562 611 611 621 621 622 622 623 623 711 711 712 712 713 713 721 721 722 722 813 813 814 814 923 923 928 928 1133 1133 2121 2121 2122 2122 2123 2123 2211 2211 2212 2212 2213 2213 3113 3113 3114 3114 3115 3115 3116 3116 3118 3118 3121 3121 3122 3122 3131 3131 3132 3132 3133 3133 3152 3152 3159 3159 3162 3162 3211 3211 3212 3212 3219 3219 3221 3221 3222 3222 3231 3231 3241 3241 3252 3252 3253 3253 3254 3254 3255 3255 3256 3256 3261 3261 3262 3262 3272 3272 3279 3279 3313 3313 3314 3314 3315 3315 3321 3321 3322 3322 3327 3327 3328 3328 3331 3331 3333 3333 3335 3335 3336 3336 3341 3341 3345 3345 3352 3352 3365 3365 3366 3366 3369 3369 3391 3391 3399 3399 4231 4231 4232 4232 4233 4233 4234 4234 4235 4235 4236 4236 4237 4237 4238 4238 4239 4239 4241 4241 4243 4243 4244 4244 4245 4245 4247 4247 4248 4248 4249 4249 4251 4251 4411 4411 4412 4412 4413 4413 4431 4431 4441 4441 4442 4442 4451 4451 4452 4452 4453 4453 4481 4481 4483 4483 4529 4529 4531 4531 4533 4533 4539 4539 4542 4542 4853 4853 5111 5111 5112 5112 5121 5121 5122 5122 5171 5171 5182 5182 5191 5191 5221 5221 5321 5321 5411 5411 5412 5412 5413 5413 5414 5414 5415 5415 5416 5416 5417 5417 5418 5418 5419 5419 5613 5613 5614 5614 5615 5615 5616 5616 5617 5617 6111 6111 6211 6211 6212 6212 6213 6213 6214 6214 6216 6216 6231 6231 6241 6241 6242 6242 6243 6243 6244 6244 7211 7211 7224 7224 8111 8111 8112 8112 8113 8113 8114 8114 8121 8121 8122 8122 8123 8123 8129 8129 8131 8131 8139 8139 9211 9211 22132 22132 31411 31411 32199 32199 32221 32221 32411 32411 32621 32621 32711 32711 32712 32712 33299 33299 33311 33311 33641 33641 42393 42393 42491 42491 44413 44413 44611 44611 44821 44821 45113 45113 45121 45121 45211 45211 45321 45321 45322 45322 45431 45431 45439 45439 51111 51111 51912 51912 51913 51913 53223 53223 54194 54194 56173 56173 62131 62131 62132 62132 71395 71395 81393 81393 92113 92113 92119 92119 311811 311811 443111 443111 454111 454111 454112 454112 454113 454113 811192 811192 812111 812111 812112 812112 928110 928110 This variable indicates the person's industry, NAICS classification. Work: Industry Variables -- PERSON IPUMS Occupation, SOC classification Occupation, SOC classification Occupation, SOC classification Occupation, SOC classification Occupation, SOC classification 45. What kind of work was this person doing? (For example: registered nurse, personal manager, supervisor of order department, secretary, and accountant) ____ 46. What were this person's most important activities or duties? (For example: patient care, directing hiring policies, supervising order clerks, typing and filing, reconciling financial records) ____ Persons age 16+ working within the last five years, not new workers NIU (not in universe) 111021 General and operations managers 111022 Chief executives and legislators 112011 Advertising and promotions managers 112020 Marketing and sales managers 112031 Public relations and fundraising managers 113011 Administrative services managers 113021 Computer and information systems managers 113031 Financial managers 113051 Industrial production managers 113061 Purchasing managers 113071 Transportation, storage, and distribution managers 113111 Compensation and benefits managers 113121 Human resources managers 113131 Training and development managers 119013 Farmers, ranchers, and other agricultural managers 119021 Constructions managers 119030 Education administrators 119041 Architectural and engineering managers 119051 Food service managers 119071 Gaming managers 119081 Lodging managers 119111 Medical and health services managers 119121 Natural science managers 119141 Property, real estate, and community association managers 119151 Social and community service managers 119161 Emergency management directors 119162 Miscellaneous managers, including funeral service managers and postmasters and mail superintendents 131011 Agents and business managers of artists, performers, and athletes 131021 Buyers and purchasing agents, farm products 131022 Wholesale and retail buyers, except farm products 131023 Purchasing agents, except wholesale, retail, and farm products 131030 Claims adjusters, appraisers, examiners, and investigators 131041 Compliance officers 131051 Cost estimators 131070 Human resources workers 131081 Logisticians 131111 Management analysts 131121 Meeting, convention, and event planners 131131 Fundraisers 131141 Compensation, benefits, and job analysis specialists 131151 Training and development specialists 131161 Market research analysts and marketing specialists 131199 Business operations specialists, all other 132011 Accountants and auditors 132021 Appraisers and assessors of real estate 132031 Budget analysts 132041 Credit analysts 132051 Financial analysts 132052 Personal financial advisors 132053 Insurance underwriters 132061 Financial examiners 132070 Credit counselors and loan officers 132081 Tax examiners and collectors, and revenue agents 132082 Tax preparers 132099 Financial specialists, all other 151111 Computer and information research scientists 151121 Computer scientists and systems analysts 151122 Information security analysts 151131 Computer programmers 151134 Web developers 151135 Software developers, applications and systems software 151141 Database administrators 151142 Network and computer systems administrators 151143 Computer network architects 151150 Computer support specialists 151199 Computer occupations, all other 152011 Actuaries 152031 Operations research analysts 152032 Miscellaneous mathematical science occupations, including mathematicians and statisticians 171010 Architects, except naval 171020 Surveyors, cartographers, and photogrammetrists 172011 Aerospace engineers 172041 Chemical engineers 172051 Civil engineers 172061 Computer hardware engineers 172070 Electrical and electronics engineers 172081 Environmental engineers 172082 Biomedical and agricultural engineers 172110 Industrial engineers, including health and safety 172121 Marine engineers and naval architects 172131 Materials engineers 172141 Mechanical engineers 172142 Petroleum, mining and geological engineers, including mining safety engineers 172143 Miscellaneous engineeers including nuclear engineers 173010 Drafters 173020 Engineering technicians, except drafters 173031 Surveying and mapping technicians 191010 Agricultural and food scientists 191020 Biological scientists 191030 Conservation scientists and foresters 191031 Medical scientists, and life scientists, all other 192010 Astronomers and physicists 192021 Atmospheric and space scientists 192030 Chemists and materials scientists 192040 Environmental scientists and geoscientists 192099 Physical scientists, all other 193011 Economists 193030 Psychologists 193051 Urban and regional planners 193052 Miscellaneous social scientists, including survey researchers and sociologists 194011 Agricultural and food science technicians 194021 Biological technicians 194031 Chemical technicians 194032 Geological and petroleum technicians, and nuclear technicians 194033 Miscellaneous life, physical, and social science technicians, including social science research assistants 211010 Counselors 211020 Social workers 211092 Probation officers and correctional treatment specialists 211093 Social and human service assistants 211094 Miscellaneous community and social service specialists, including health educators and community health workers 212011 Clergy 212021 Directors, religious activities and education 212099 Religious workers, all other 231012 Judicial law clerks 231013 Lawyers, and judges, magistrates, and other judicial workers 232011 Paralegals and legal assistants 232090 Miscellaneous legal support workers 251000 Postsecondary teachers 252010 Preschool and kindergarten teachers 252020 Elementary and middle school teachers 252030 Secondary school teachers 252050 Special education teachers 253000 Other teachers and instructors 254010 Archivists, curators, and museum technicians 254021 Librarians 254031 Library technicians 259041 Teacher assistants 259042 Other education, training, and library workers 271010 Artists and related workers 271020 Designers 272011 Actors 272012 Producers and directors 272020 Athletes, coaches, umpires, and related workers 272030 Dancers and choreographers 272040 Musicians, singers, and related workers 272099 Entertainers and performers, sports and related workers, all other 273010 Announcers 273020 News analysts, reporters and correspondents 273031 Public relations specialists 273041 Editors 273042 Technical writers 273043 Writers and authors 273090 Miscellaneous media and communication workers 274021 Photographers 274030 Television, video, and motion picture camera operators and editors 274031 Broadcast and sound engineering technicians and radio operators, and media and communication equipment workers, all other 291011 Chiropractors 291020 Dentists 291031 Dieticians and nutritionists 291041 Optometrists 291051 Pharmacists 291060 Physicians and surgeons 291071 Physician assistants 291081 Podiatrists 291122 Occupational therapists 291123 Physical therapists 291124 Radiation therapists 291125 Recreational therapists 291126 Respiratory therapists 291127 Speechlanguage pathologists 291128 Other therapists, including exercise physiologists 291131 Veterinarians 291141 Registered nurses 291151 Nurse anesthetists 291181 Audiologists 291198 Health diagnosing and treating practitioners, all other 291199 Nurse practitioners and nurse midwives 292010 Clinical laboratory technologists and technicians 292021 Dental hygienists 292030 Diagnostic related technologists and technicians 292041 Emergency medical technicians and paramedics 292050 Health practitioner support technologists and technicians 292061 Licensed practical and licensed vocational nurses 292071 Medical records and health information technicians 292081 Opticians, dispensing 292090 Miscellaneous health technologists and technicians 299000 Other healthcare practitioners and technical occupations 311010 Nursing, psychiatric, and home health aides 312010 Occupational therapy assistants and aides 312020 Physical therapist assistants and aides 319011 Massage therapists 319091 Dental assistants 319092 Medical assistants 319094 Medical transcriptionists 319095 Pharmacy aides 319096 Veterinary assistants and laboratory animal caretakers 319097 Phlebotmists 319098 Healthcare support workers, all other, including medical equipment preparers 331011 First-line supervisors of correctional officers 331012 First-line supervisors of police and detectives 331021 First-line supervisors of fire fighting and prevention workers 331099 First-line supervisors of protective service workers, all other 332011 Firefighters 332020 Fire inspectors 333010 Bailiffs, correctional officers, and jailers 333021 Detectives and criminal investigators 333050 Police officers 333051 Miscellaneous law enforcement workers 339011 Animal control workers 339021 Private detectives and investigators 339030 Security guards and gaming surveillance officers 339091 Crossing guards 339093 Transportation security screeners 339094 Lifeguards and other recreational, and all other protective service workers 351011 Chefs and head cooks 351012 First-line supervisors of food preparation and serving workers 352010 Cooks 352021 Food preparation workers 353011 Bartenders 353021 Combined food preparation and serving workers, including fast food 353022 Counter attendant, cafeteria, food concession, and coffee shop 353031 Waiters and waitresses 353041 Food servers, nonrestaurant 359021 Dishwashers 359031 Host and hostesses, restaurant, lounge, and coffee shop 359032 Miscellaneous food preparation and serving related workers including dining room and cafeteria attendants and bartender helpers 371011 First-line supervisors of housekeeping and janitorial workers 371012 First-line supervisors of landscaping, lawn service, and groundskeeping workers 372012 Maids and housekeeping cleaners 372013 Janitors and building cleaners 372021 Pest control workers 373010 Grounds maintenance workers 391010 First-line supervisors of gaming workers 391021 First-line supervisors of personal service workers 392011 Animal trainers 392021 Nonfarm animal caretakers 393010 Gaming services workers 393021 Motion picture projectionists 393031 Ushers, lobby attendants, and ticket takers 393090 Miscellaneous entertainment attendants and related workers 394031 Morticians, undertakers, and funeral directors 394032 Embalmers and funeral attendants 395011 Barbers 395012 Hairdressers, hairstylists, and cosmetologists 395090 Miscellaneous personal appearance workers 396010 Baggage porters, bellhops, and concierges 397010 Tour and travel guides 399011 Childcare workers 399021 Personal care aides 399030 Recreation and fitness workers 399041 Residential advisors 399099 Personal care and service workers, all other 411011 First-line supervisors of retail sales workers 411012 First-line supervisors of non-retail sales 412010 Cashiers 412021 Counter and rental clerks 412022 Parts salespersons 412031 Retail salespersons 413011 Advertising sales agents 413021 Insurance sales agents 413031 Securities, commodities, and financial services sales agents 413041 Travel agents 413099 Sales representatives, services, all other 414010 Sales representatives, wholesale and manufacturing 419010 Models, demonstrators, and product promoters 419020 Real estate brokers and sales agents 419031 Sales engineers 419041 Telemarketers 419091 Door-to-door sales workers, news and street vendors, and related workers 419099 Sales and related workers, all other 431011 First-line supervisors of office and administrative support workers 432011 Switchboard operators, including answering service 432021 Telephone operators 432099 Communications equipment operators, all other 433011 Bill and account collectors 433021 Billing and posting clerks 433031 Bookkeeping, accounting, and auditing clerks 433041 Gaming cage workers 433051 Payroll and timekeeping clerks 433061 Procurement clerks 433071 Tellers 433099 Financial clerks, all other 434011 Brokerage clerks 434031 Court, municipal, and license clerks 434041 Credit authorizers, checkers, and clerks 434051 Customer service representatives 434061 Eligibility interviewers, government programs 434071 File clerks 434081 Hotel, motel, and resort desk clerks 434111 Interviewers, except eligibility and loan 434121 Library assistants, clerical 434131 Loan interviewers and clerks 434141 New account clerks 434161 Human resources assistants, except payroll and timekeeping 434171 Receptionists and information clerks 434181 Reservation and transportation ticket agents and travel clerks 434199 Information and record clerks, all other 434200 Correspondent clerks and order clerks 435011 Cargo and freight agents 435021 Couriers and messengers 435030 Dispatchers 435041 Meter readers, utilities 435051 Postal service clerks 435052 Postal service mail carriers 435053 Postal service mail sorters, processors, and processing machine operators 435061 Production, planning, and expediting clerks 435071 Shipping, receiving, and traffic clerks 435081 Stock clerks and order fillers 435111 Weighers, measurers, checkers, and samplers, recordkeeping 436010 Secretaries and administrative assistants 439011 Computer operators 439021 Data entry keyers 439022 Word processors and typists 439041 Insurance claims and policy processing clerks 439051 Mail clerks and mail machine operators, except postal service 439061 Office clerks, general 439071 Office machine operators, except computer 439081 Proofreaders and copy markers 439111 Statistical assistants 439112 Miscellaneous office and administrative support workers including desktop publishers 451011 First-line supervisors of farming, fishing, and forestry workers 452011 Agricultural inspectors 452041 Graders and sorters, agricultural products 452042 Miscellaneous agricultural workers including animal breeders 453000 Fishing and hunting workers 454011 Forest and conservation workers 454020 Logging workers 471011 First-line supervisors of construction trades and extraction workers 472011 Boilermakers 472020 Brickmasons, blockmasons, and stonemasons 472031 Carpenters 472040 Carpet, floor, and tile installers and finishers 472050 Cement masons, concrete finishers, and terrazzo workers 472061 Construction laborers 472071 Paving, surfacing, and tamping equipment operators 472072 Construction equipment operators except paving, surfacing, and tamping equipment operators 472080 Drywall installers, ceiling tile installers, and tapers 472111 Electricians 472121 Glaziers 472130 Insulation workers 472141 Painters, construction and maintenance 472142 Paperhangers 472150 Pipelayers, plumbers, pipefitters, and steamfitters 472161 Plasterers and stucco masons 472171 Reinforcing iron and rebar workers 472181 Roofers 472211 Sheet metal workers 472221 Structural iron and steel workers 473010 Helpers, construction trades 474011 Construction and building inspectors 474021 Elevator installers and repairers 474031 Fence erectors 474041 Hazardous materials removal workers 474051 Highway maintenance workers 474061 Rail-track laying and maintenance equipment operators 475021 Earth drillers, except oil and gar 475031 Explosives workers, ordnance handling experts, and blasters 475040 Mining machine operators 475041 Miscellaneous extraction workers including roof bolters and helpers 475042 Derrick, rotary drill, and service unit operators, and roustabouts, oil, gas, and mining 475043 Miscellaneous construction workers including solar photovaltaic installers, and septic tank servicers and sewer pipe cleaners 491011 First-line supervisors of mechanics, installers, and repairers 492011 Computer, automated teller, and office machine repairers 492020 Radio and telecommunications equipment installers and repairers 492091 Avionics technicians 492092 Electric motor, power tool, and related repairers 492096 Electronic equipment installers and repairers, motor vehicles 492097 Electronic home entertainment equipment installers and repairers 492098 Security and fire alarm systems installers 492099 Electrical and electronics repairers, transportation equipment, and industrial and utility 493011 Aircraft mechanics and service technicians 493021 Automotive body and related repairers 493022 Automotive glass installers and repairers 493023 Automotive service technicians and mechanics 493031 Bus and truck mechanics and diesel engine specialists 493040 Heavy vehicle and mobile equipment service technicians and mechanics 493050 Small engine mechanics 493090 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 499010 Control and valve installers and repairers 499021 Heating, air conditioning, and refrigeration mechanics and installers 499031 Home appliance repairers 499043 Maintenance workers, machinery 499044 Millwrights 499045 Industrial and refractory machinery mechanic 499051 Electrical power-line installers and repairers 499052 Telecommunications line installers and repairers 499060 Precision instrument and equipment repairers 499071 Maintenance and repair workers, general 499091 Coin, vending, and amusement machine servicers and repairers 499094 Locksmiths and safe repairers 499095 Manufactured building and mobile home installers 499096 Riggers 499098 Helpers--installation, maintenance, and repair workers 499099 Other installation, maintenance, and repair workers including wind turbine service technicians, and commercial divers, and signal and track wwitch repairers 511011 First-line supervisors of production and operating workers 512011 Aircraft structure, surfaces, rigging, and systems assemblers 512020 Electrical, electronics, and electromechanical assemblers 512031 Engine and other machine assemblers 512041 Structural metal fabricators and fitters 512090 Miscellaneous assemblers and fabricators 513011 Bakers 513020 Butchers and other meat, poultry, and fish processing workers 513091 Food and tobacco roasting, baking, and drying machine operators and tenders 513092 Food batchmakers 513093 Food cooking machine operators and tenders 513099 Food processing workers, all other 514010 Computer control programmers and operators 514021 Extruding and drawing machine setters, operators, and tenders, metal and plastic 514022 Forging machine setters, operators, and tenders, metal and plastic 514023 Rolling machine setters, operators, and tenders, metal and plastic 514031 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 514032 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 514033 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 514034 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 514041 Machinists 514050 Metal furnace operators, tenders, pourers, and casters 514060 Model makers and patternmakers, metal and plastic 514070 Molders and molding machine setters, operators, and tenders, metal and plastic 514111 Tool and die makers 514120 Welding, soldering, and brazing workers 514191 Heat treating equipment setters, operators, and tenders, metal and plastic 514193 Plating and coating machine setters, operators, and tenders, metal and plastic 514194 Tool grinders, filers, and sharpeners 514195 Miscellaneous metal workers and plastic workers including milling and planing machine setters, and multiple machine tool setters, and lay-out workers 515111 Prepress technicians and workers 515112 Printing machine operators 515113 Print binding and finishing workers 516011 Laundry and dry-cleaning workers 516021 Pressers, textile, garment, and related materials 516031 Sewing machine operators 516041 Shoe and leather workers and repairers 516042 Shoe machine operators and tenders 516050 Tailors, dressmakers, and sewers 516063 Textile knitting and weaving machine setters, operators, and tenders 516064 Textile winding, twisting, and drawing out machine setters, operators, and tenders 516065 Textile bleaching and dyeing, and cutting machine setters, operators, and tenders 516093 Upholsterers 516094 Miscellaneous textile, apparel, and furnishings workers except upholsterers 517011 Cabinetmakers and bench carpenters 517021 Furniture finishers 517041 Sawing machine setters, operators, and tenders, wood 517042 Woodworking machine setters, operators, and tenders, except sawing 517043 Miscellaneous woodworkers including model makers and patternmakers 518010 Power plant operators, distributors, and dispatchers 518021 Stationary engineers and boiler operators 518031 Water and wastewater treatment plant and system operators 518090 Miscellaneous plant and system operators 519010 Chemical processing machine setters, operators, and tenders 519020 Crushing, grinding, polishing, mixing, and blending workers 519030 Cutting workers 519041 Extruding, forming, pressing, and compacting machine setters, operators, and tenders 519051 Furnace, kiln, oven, drier, and kettle operators and tenders 519061 Inspectors, testers, sorters, samplers, and weighers 519071 Jewelers and precious stone and metal workers 519080 Medical, dental, and ophthalmic laboratory technicians 519111 Packaging and filling machine operators and tenders 519120 Painting workers 519151 Photographic process workers and processing machine operators 519191 Adhesive bonding machine operators and tenders 519192 Cleaning, washing, and metal pickling equipment operators and tenders 519194 Etchers and engravers 519195 Molders, shapers, and casters, except metal and plastic 519196 Paper goods machine setters, operators, and tenders 519197 Tire builders 519198 Helpers--production workers 519199 Other production workers including semiconductor processors and cooling and freezing equipment operators 531000 Supervisors oftransportation and material moving workers 532010 Aircraft pilots and flight engineers 532020 Air traffic controllers and airfield operations specialists 532031 Flight attendants 533011 Ambulance drivers and attendants, except emergency medical technicians 533020 Bus drivers 533030 Driver/sales workers and truck drivers 533041 Taxi drivers and chauffeurs 533099 Motor vehicle operators, all other 534010 Locomotive engineers and operators 534021 Railroad brake, signal, and switch operators 534031 Railroad conductors and yardmasters 534032 Subway, streetcar, and other rail transportation workers 535020 Ship and boat captains and operators 535021 Sailors and marine oilers, and ship engineers 536021 Parking lot attendants 536031 Automotive and watercraft service attendants 536051 Transportation inspectors 536061 Transportation attendants, except flight attendants 536062 Miscellaneous transportation workers including bridge and lock tenders and traffic technicians 537021 Crane and tower operators 537030 Dredge, excavating, and loading machine operators 537051 Industrial truck and tractor operators 537061 Cleaners of vehicles and equipment 537062 Laborers and freight, stock, and material movers, hand 537063 Machine feeders and offbearers 537064 Packers and packagers, hand 537070 Pumping station operators 537081 Refuse and recyclable material collectors 537082 Conveyor operators and tenders, and hoist and winch operators 537100 Miscellaneous material moving workers including shuttle car operators, and tank car, truck, and ship loaders 551010 Military officer special and tactical operations leaders 552010 First-line enlisted military supervisors 553010 Military enlisted tactical operations and air/weapons specialists and crew members 559830 Military, rank not specified This variable indicates the person's occupation, SOC classification. Work: Occupation Variables -- PERSON IPUMS Worked last week Worked last week Worked last week Worked last week Worked last week 29. a) Last week, did this person work for pay at a job (or business)? [] Yes, skip to question 30 [] No, did not work (or retired) Persons age 16+ NIU (not in universe) 1 Did not work 2 Worked 3 Not Reported This variable indicates whether the person worked last week. Work Variables -- PERSON IPUMS Informed of work recall Informed of work recall Informed of work recall Informed of work recall Informed of work recall c) Has this person been informed that he or she will be recalled to work within the next 6 months or been given a date to return to work? [] Yes, skip to question 37 [] No Persons age 16+ NIU (not in universe) 1 No 2 Yes 3 Not reported This variable indicates whether the person was informed of a work recall referring to the next six months or has been given a date to return to work. Work Variables -- PERSON IPUMS Supplementary Security income (US$) Supplementary Security income (US$) Supplementary Security income (US$) Supplementary Security income (US$) Supplementary Security income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. e) Supplemental Security Income (SSI) [] Yes $____.00 (Total amount for past 12 months) [] No Persons age 15+ This variable indicates the person's supplementary security income (in US$). Income Variables -- PERSON IPUMS Vision or hearing difficulty Vision or hearing difficulty Vision or hearing difficulty Vision or hearing difficulty Vision or hearing difficulty 17. a) Is this person deaf or does he/she have serious difficulty hearing? [] Yes [] No b) Is this person blind or does he/she have serious difficulty seeing even when wearing glasses? [] Yes [] No All persons 1 No vision or hearing difficulty 2 Has vision or hearing difficulty This variable indicates whether the person has a vision or hearing difficulty. Disability Variables -- PERSON IPUMS Ambulatory difficulty Ambulatory difficulty Ambulatory difficulty Ambulatory difficulty Ambulatory difficulty b) Does this person have serious difficulty walking or climbing stairs? [ ] Yes [ ] No Persons 5+ NIU (not in universe) 1 No ambulatory difficulty 2 Has ambulatory difficulty This variable indicates whether the person has an ambulatory difficulty. Disability Variables -- PERSON IPUMS Cognitive difficulty Cognitive difficulty Cognitive difficulty Cognitive difficulty Cognitive difficulty 18. a) Because of a physical, mental, or emotional condition, does this person have serious difficulty concentrating, remembering, or making decisions? [] Yes [] No Persons 5+ NIU (not in universe) 1 No cognitive difficulty 2 Has cognitive difficulty This variable indicates whether the person has a cognitive difficulty. Disability Variables -- PERSON IPUMS Months responsible for grandchildren Months responsible for grandchildren Months responsible for grandchildren Months responsible for grandchildren Months responsible for grandchildren 25 c) How long has this grandparent been responsible for the(se) grandchild(ren)? If the grandparent is financially responsible for more than one grandchild, answer the question for the grandchild for whom the grandparent has been responsible for the longest period of time. [] Less than 6 months [] 6 to 11 months [] 1 or 2 years [] 3 or 4 years [] 5 or more years Persons age 30+ responsible for grandchildren NIU (not in universe) 1 Less than 6 months 2 6 to 11 months 3 1 to 2 years 4 3 to 4 years 5 5 or more years This variable indicates the number of months the person was responsible for grandchildren. Other Person Variables -- PERSON IPUMS Responsible for grandchildren Responsible for grandchildren Responsible for grandchildren Responsible for grandchildren Responsible for grandchildren 25. b) Is this grandparent currently responsible for most of the basic needs of any grandchild(ren) under the age of 18 who live(s) in this house or apartment? [] Yes [] No, skip to question Persons age 30+ living with at least one granchild under age 18 NIU (not in universe) 1 No 2 Yes This variable indicates whether the person was responsible for grandchildren. Other Person Variables -- PERSON IPUMS Flag for diffsens Flag for diffsens Flag for diffsens Flag for diffsens Flag for diffsens Flag for diffsens All persons Not allocated 4 Allocated This variable is a quality flag for diffsens. Person Imputation Flags Variables -- PERSON IPUMS Flag for incsupp Flag for incsupp Flag for incsupp Flag for incsupp Flag for incsupp Flag for incsupp All persons Not allocated 4 Allocated This variable is a quality flag for incsupp. Person Imputation Flags Variables -- PERSON IPUMS Flag for diffphys Flag for diffphys Flag for diffphys Flag for diffphys Flag for diffphys Flag for diffphys All persons Not allocated 4 Allocated This variable is a quality flag for diffphys. Person Imputation Flags Variables -- PERSON IPUMS Flag for diffrem Flag for diffrem Flag for diffrem Flag for diffrem Flag for diffrem Flag for diffrem All persons Not allocated 4 Allocated This variable is a quality flag for diffrem. Person Imputation Flags Variables -- PERSON IPUMS Flag for fertyr Flag for fertyr Flag for fertyr Flag for fertyr Flag for fertyr Flag for fertyr All persons Not allocated 4 Allocated This variable is a quality flag for fertyr. Person Imputation Flags Variables -- PERSON IPUMS Flag for gchouse Flag for gchouse Flag for gchouse Flag for gchouse Flag for gchouse Flag for gchouse All persons Not allocated 4 Allocated This variable is a quality flag for gchouse. Person Imputation Flags Variables -- PERSON IPUMS Flag for gcmonths Flag for gcmonths Flag for gcmonths Flag for gcmonths Flag for gcmonths Flag for gcmonths All persons Not allocated 4 Allocated This variable is a quality flag for gcmonths. Person Imputation Flags Variables -- PERSON IPUMS Flag for gcrespon Flag for gcrespon Flag for gcrespon Flag for gcrespon Flag for gcrespon Flag for gcrespon All persons Not allocated 4 Allocated This variable is a quality flag for gcrespon. Person Imputation Flags Variables -- PERSON IPUMS Flag for gradeatt Flag for gradeatt Flag for gradeatt Flag for gradeatt Flag for gradeatt Flag for gradeatt All persons Not allocated 4 Allocated This variable is a quality flag for gradeatt. Person Imputation Flags Variables -- PERSON IPUMS Poverty status, 2000 criteria Poverty status, 2000 criteria Poverty status, 2000 criteria Poverty status, 2000 criteria Poverty status, 2000 criteria Poverty status, 2000 criteria Person in private households This variable indicates the person's poverty status, 2000 criteria. Income Variables -- PERSON IPUMS Business and farm income, 2000 (US$) Business and farm income, 2000 (US$) Business and farm income, 2000 (US$) Business and farm income, 2000 (US$) Business and farm income, 2000 (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. b) Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships. Report net income after business expenses [] Yes $____.00 (Total amount for past 12 months) [] No [] Loss Persons age 15+ This variable indicates the person's business and farm income (in US$), 2000. Income Variables -- PERSON IPUMS Poverty status, original 2000 PUMS Poverty status, original 2000 PUMS Poverty status, original 2000 PUMS Poverty status, original 2000 PUMS Poverty status, original 2000 PUMS Poverty status, original 2000 PUMS Persons in private households This variable indicates the person's poverty status, original 2000 PUMS. Income Variables -- PERSON IPUMS Place of work: PUMA Place of work: PUMA Place of work: PUMA Place of work: PUMA Place of work: PUMA 30. At what location did this person work last week? If this person worked at more than one location, print where he or she worked most last week. a) Address (Number and street name) ____ If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection. b) Name of city, town, or post office ____ c) Is the work location inside the limits of that city or town? [] Yes [] No, outside the city/town limits d) Name of county ____ e) Name of U.S. state or foreign country ____ f) ZIP Code: ____ Persons age 16+ at work last week This variable indicates the person's place of work, PUMA. Work Variables -- PERSON IPUMS Retirement income (US$) Retirement income (US$) Retirement income (US$) Retirement income (US$) Retirement income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. g) Retirement, survivor, or disability pensions. Do not include Social Security. [] Yes $____.00 (Total amount for past 12 months) [] No Persons age 15+ This variable indicates the person's retirement income (in US$). Income Variables -- PERSON IPUMS Super-PUMA of work Super-PUMA of work Super-PUMA of work Super-PUMA of work Super-PUMA of work Super-PUMA of work Persons age 16+ at work last week NIU (not in universe) 10 10 11 11 12 12 20 20 30 30 40 40 41 41 42 42 50 50 51 51 52 52 60 60 70 70 80 80 81 81 82 82 85 85 88 88 89 89 90 90 91 91 99 99 100 100 101 101 102 102 110 110 120 120 121 121 122 122 129 129 130 130 132 132 133 133 139 139 140 140 150 150 152 152 159 159 160 160 170 170 180 180 190 190 200 200 201 201 202 202 210 210 220 220 230 230 240 240 250 250 260 260 270 270 300 300 309 309 400 400 409 409 500 500 600 600 700 700 800 800 900 900 999 Unknown This variable indicates the person's super-PUMA of work. Work Variables -- PERSON IPUMS Veteran, served 2001 or later Veteran, served 2001 or later Veteran, served 2001 or later Veteran, served 2001 or later Veteran, served 2001 or later 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served between 2001 or later. Other Person Variables -- PERSON IPUMS Veteran, served 1990 Veteran, served 1990 Veteran, served 1990 Veteran, served 1990 Veteran, served 1990 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served in 1990. Other Person Variables -- PERSON IPUMS Veteran, served 1947 Veteran, served 1947 Veteran, served 1947 Veteran, served 1947 Veteran, served 1947 27. When did this person serve on active duty in the U.S. Armed Forces? Mark (X) a box for each period in which this person served. [] September 2001 or later [] August 1990 to August 2001 (including Persian Gulf War) [] September 1980 to July 1990 [] May 1975 to August 1980 [] Vietnam era (August 1964 to April 1975) [] March 1961 to July 1964 [] February 1955 to February 1961 [] Korean War (June 1950 to January 1955) [] January 1947 to June 1950 [] World War II (December 1941 to December 1946) [] November 1941 or earlier 28. Persons with Veteran status NIU (not in universe) 1 No 2 Yes, served this period This variable indicates whether the person is a veteran who served in 1947. Other Person Variables -- PERSON IPUMS Probable step/adopted mother (alt) Probable step/adopted mother (alt) Probable step/adopted mother (alt) Probable step/adopted mother (alt) Probable step/adopted mother (alt) Probable step/adopted mother (alt) All persons No stepmother present 1 Improbable age difference 2 Spouse of father 3 Identified stepmother 5 Identified as adopted This variable indicates the person's probable step/adopted mother (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking mother (alt) Rule for linking mother (alt) Rule for linking mother (alt) Rule for linking mother (alt) Rule for linking mother (alt) Rule for linking mother (alt) All persons No mother link 1 Unambiguous mother link 2 Daughter/grandchild link 3 Preceding female (no intervening person) This variable indicates the rule for linking mother (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Father's location in the household (alt) Father's location in the household (alt) Father's location in the household (alt) Father's location in the household (alt) Father's location in the household (alt) Father's location in the household (alt) All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 19 19 This variable indicates the father's location in the household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Probable step/adopted father (alt) Probable step/adopted father (alt) Probable step/adopted father (alt) Probable step/adopted father (alt) Probable step/adopted father (alt) Probable step/adopted father (alt) All persons No stepfather present 1 Improbable age difference 2 Spouse of mother 3 Identified stepfather 5 Identified as adopted This variable indicates the person's probable step/adopted father (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking father (alt) Rule for linking father (alt) Rule for linking father (alt) Rule for linking father (alt) Rule for linking father (alt) Rule for linking father (alt) All persons No father link 1 Unambiguous father link 2 Son/granchild link 3 Preceding male (no intervening person) This variable indicates the rule for linking father (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Spouse's location in household (alt) Spouse's location in household (alt) Spouse's location in household (alt) Spouse's location in household (alt) Spouse's location in household (alt) Spouse's location in household (alt) All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 18 18 19 19 This variable indicates the spouse's location in household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking spouse (alt) Rule for linking spouse (alt) Rule for linking spouse (alt) Rule for linking spouse (alt) Rule for linking spouse (alt) Rule for linking spouse (alt) All persons No spouse link 1 Wife follows husband 2 Wife precedes husband 3 Non-adjacent names -- consistent relationship to head/age differences 4 Adjacent names (wife follows husband -- no age, other relative conflicts) 5 Adjacent names (wife precedes husband -- no age, other relative conflicts) This variable indicates the rule for linking spouse (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own family members in household (alt) Number of own family members in household (alt) Number of own family members in household (alt) Number of own family members in household (alt) Number of own family members in household (alt) Number of own family members in household (alt) All persons 1 1 family member present 2 2 family members present 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 family members present 20 20 This variable indicates the number of own family members in household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children in the household (alt) Number of own children in the household (alt) Number of own children in the household (alt) Number of own children in the household (alt) Number of own children in the household (alt) Number of own children in the household (alt) All persons 0 children present 1 1 child present 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ This variable indicates the number of own children in the household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children under age 5 in household (alt) Number of own children under age 5 in household (alt) Number of own children under age 5 in household (alt) Number of own children under age 5 in household (alt) Number of own children under age 5 in household (alt) Number of own children under age 5 in household (alt) All persons No children under age 5 1 1 child under age 5 2 2 3 3 4 4 5 5 6 6 7 7 This variable indicates the number of own children under age 5 in household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Family unit membership (alt) Family unit membership (alt) Family unit membership (alt) Family unit membership (alt) Family unit membership (alt) Family unit membership (alt) All persons 1 1st family in household or group quarters 2 2nd family in household or group quarters 3 3rd 4 4th 5 5th 6 6th 7 7th 8 8th 9 9th 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 This variable indicates the family unit membership (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Age of eldest own child in household (alt) Age of eldest own child in household (alt) Age of eldest own child in household (alt) Age of eldest own child in household (alt) Age of eldest own child in household (alt) Age of eldest own child in household (alt) All persons Less than 1 year old 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 86 86 87 87 94 94 99 N/A This variable indicates the age of eldest own child in household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Age of youngest own child in household (alt) Age of youngest own child in household (alt) Age of youngest own child in household (alt) Age of youngest own child in household (alt) Age of youngest own child in household (alt) Age of youngest own child in household (alt) All persons Less than 1 year old 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 83 83 87 87 99 N/A This variable indicates the age of youngest own child in household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own siblings in household (alt) Number of own siblings in household (alt) Number of own siblings in household (alt) Number of own siblings in household (alt) Number of own siblings in household (alt) Number of own siblings in household (alt) All persons 0 siblings 1 1 sibling 2 2 siblings 3 3 4 4 5 5 6 6 7 7 8 8 9 9 This variable indicates the number of own siblings in household (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Industry, 1990 basis Industry, 1990 basis Industry, 1990 basis Industry, 1990 basis Industry, 1990 basis Industry, 1990 basis Persons age 16+ working within the last five years, not new workers NIU (not in universe) 10 Agricultural production, crops 11 Agricultural production, livestock 12 Veterinary services 20 Landscape and horticultural services 31 Forestry 32 Fishing, hunting, and trapping  40 Metal mining 41 Coal mining 42 Oil and gas extraction 50 Nonmetallic mining and quarrying, except fuels  60 All construction  100 Meat products 101 Dairy products 102 Canned, frozen, and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Misc. food preparations and kindred products 122 Food industries, not specified 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Carpets and rugs 142 Yarn, thread, and fabric mills 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 190 Paints, varnishes, and related products 191 Agricultural chemicals 192 Industrial and miscellaneous chemicals 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planing mills, and millwork 232 Wood buildings and mobile homes 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Misc. nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, handtools, and general hardware 282 Fabricated structural metal products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Metal industries, not specified 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 322 Computers and related equipment 331 Machinery, except electrical, not elsewhere classified 332 Machinery, not specified 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, not elsewhere classified 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Medical, dental, and optical instruments and supplies 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Manufacturing industries, not specified  400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 432 Services incidental to transportation 440 Radio and television broadcasting and cable 441 Telephone communications 450 Electric light and power 451 Gas and steam supply systems 452 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Utilities, not specified  500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Professional and commercial equipment and supplies 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm-product raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Wholesale trade, not specified  580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 591 Department stores 600 Miscellaneous general merchandise stores 601 Grocery stores 610 Retail bakeries 611 Food stores, not elsewhere classified 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 623 Apparel and accessory stores, except shoe 630 Shoe stores 631 Furniture and home furnishings stores 632 Household appliance stores 633 Radio, TV, and computer stores 640 Music stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Gift, novelty, and souvenir shops 662 Sewing, needlework, and piece goods stores 663 Catalog and mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel dealers 681 Retail florists 682 Miscellaneous retail stores 691 Retail trade, not specified  700 Banking 701 Savings institutions, including credit unions 702 Credit agencies, not elsewhere classified 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance offices  721 Advertising 722 Services to dwellings and other buildings 731 Personnel supply services 732 Computer and data processing services 740 Detective and protective services 741 Business services, not elsewhere classified 742 Automotive rental and leasing, without drivers 750 Automobile parking and carwashes 751 Automotive repair and related services 752 Electrical repair shops 760 Miscellaneous repair services  761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 791 Miscellaneous personal services  800 Theaters and motion pictures 801 Video tape rental 802 Bowling centers 810 Miscellaneous entertainment and recreation services  812 Offices and clinics of physicians 820 Offices and clinics of dentists 821 Offices and clinics of chiropractors 822 Offices and clinics of optometrists 831 Hospitals 832 Nursing and personal care facilities 840 Health services, not elsewhere classified 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 852 Libraries 860 Educational services, not elsewhere classified 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, not elsewhere classified 872 Museums, art galleries, and zoos 873 Labor unions 880 Religious organizations 881 Membership organizations, not elsewhere classified 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Research, development, and testing services 892 Management and public relations services 893 Miscellaneous professional and related services  901 General government, not elsewhere classified 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and housing programs 931 Administration of economic programs 932 National security and international affairs  940 Army 941 Air Force 942 Navy 950 Marines 951 Coast Guard 952 Armed Forces, branch not specified 960 Military Reserves or National Guard  This variable indicates the person's industry, 1990 basis. Work: Industry Variables -- PERSON IPUMS Flag for Hispan Flag for Hispan Flag for Hispan Flag for Hispan Flag for Hispan Flag for Hispan All persons Not allocated 4 Allocated This variable is a quality flag for hispan. Person Imputation Flags Variables -- PERSON IPUMS Race: Single race identification Race: Single race identification Race: Single race identification Race: Single race identification Race: Single race identification Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ All persons 10 White 12 Other race, Hispanic 20 Black 30 American Indian (AI) 31 Alaskan Native (AN) 32 American Indian/Alaskan Native (AI/AN) 40 Asian Indian 41 Chinese 42 Filipino 43 Japanese 44 Korean 45 Other Asian 46 Hawaiian 47 Other Pacific Islander (PI) 48 Asian and Pacific Islander (PI) 50 Other race, non-Hispanic This variable indicates the person's race: single race identification. Ethnicity and Language Variables -- PERSON IPUMS Probability of white race response Probability of white race response Probability of white race response Probability of white race response Probability of white race response Probability of white race response All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 This variable indicates the person's probability of white race response. Ethnicity and Language Variables -- PERSON IPUMS Probability of 'other race' race response Probability of 'other race' race response Probability of 'other race' race response Probability of 'other race' race response Probability of 'other race' race response Probability of 'other race' race response All persons 100 100 This variable indicates the person's probability of 'other race' race response. Ethnicity and Language Variables -- PERSON IPUMS Probability of black race response Probability of black race response Probability of black race response Probability of black race response Probability of black race response Probability of black race response All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 This variable indicates the person's probability of black race response. Ethnicity and Language Variables -- PERSON IPUMS Probability of Asian/Pacific Islanderrace response Probability of Asian/Pacific Islanderrace response Probability of Asian/Pacific Islanderrace response Probability of Asian/Pacific Islanderrace response Probability of Asian/Pacific Islanderrace response Probability of Asian/Pacific Islanderrace response All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 This variable indicates the person's probability of Asian/Pacific Islander race response. Ethnicity and Language Variables -- PERSON IPUMS Probability of American Indian race response Probability of American Indian race response Probability of American Indian race response Probability of American Indian race response Probability of American Indian race response Probability of American Indian race response All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 This variable indicates the person's probability of American Indian race response. Ethnicity and Language Variables -- PERSON IPUMS Occupation, 1990 basis Occupation, 1990 basis Occupation, 1990 basis Occupation, 1990 basis Occupation, 1990 basis 45. What kind of work was this person doing? (For example: registered nurse, personal manager, supervisor of order department, secretary, and accountant) ____ 46. What were this person's most important activities or duties? (For example: patient care, directing hiring policies, supervising order clerks, typing and filing, reconciling financial records) ____ Persons age 16+ working within the last five years, not new workers NIU (not in universe) 4 Chief executives and public administrators 7 Financial managers 8 Human resources and labor relations managers 13 Managers and specialists in marketing, advertising, and public relations 14 Managers in education and related fields 15 Managers of medicine and health occupations 17 Managers of food-serving and lodging establishments 18 Managers of properties and real estate 19 Funeral directors 21 Managers of service organizations, not elsewhere classified 22 Managers and administrators, not elsewhere classified 23 Accountants and auditors 24 Insurance underwriters 25 Other financial specialists 26 Management analysts 27 Personnel, HR, training, and labor relations specialists 28 Purchasing agents and buyers, of farm products 29 Buyers, wholesale and retail trade 33 Purchasing managers, agents and buyers, not elsewhere classified 34 Business and promotion agents 35 Construction inspectors 36 Inspectors and compliance officers, outside construction 37 Management support occupations 43 Architects 44 Aerospace engineer 45 Metallurgical and materials engineers, variously phrased 47 Petroleum, mining, and geological engineers 48 Chemical engineers 53 Civil engineers 55 Electrical engineer 56 Industrial engineers 57 Mechanical engineers 59 Not-elsewhere-classified engineers 64 Computer systems analysts and computer scientists 65 Operations and systems researchers and analysts 66 Actuaries 68 Mathematicians and mathematical scientists 69 Physicists and astronomers 73 Chemists 74 Atmospheric and space scientists 75 Geologists 76 Physical scientists, not elsewhere classified 77 Agricultural and food scientists 78 Biological scientists 79 Foresters and conservation scientists 83 Medical scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Other health and therapy 95 Registered nurses 96 Pharmacists 97 Dietitians and nutritionists 98 Respiratory therapists 99 Occupational therapists 103 Physical therapists 104 Speech therapists 105 Therapists, not elsewhere classified 106 Physicians' assistants 154 Subject instructors (HS/college) 155 Kindergarten and earlier school teachers 156 Primary school teachers 157 Secondary school teachers 158 Special education teachers 159 Teachers , not elsewhere classified 163 Vocational and educational counselors 164 Librarians 165 Archivists and curators 166 Economists, market researchers, and survey researchers 167 Psychologists 169 Social scientists, not elsewhere classified 173 Urban and regional planners 174 Social workers 175 Recreation workers 176 Clergy and religious workers 178 Lawyers 183 Writers and authors 184 Technical writers 185 Designers 186 Musician or composer 187 Actors, directors, producers 188 Art makers: painters, sculptors, craft-artists, and print-makers 189 Photographers 193 Dancers 194 Art/entertainment performers and related 195 Editors and reporters 198 Announcers 199 Athletes, sports instructors, and officials 203 Clinical laboratory technologies and technicians 204 Dental hygenists 205 Health record tech specialists 206 Radiologic tech specialists 207 Licensed practical nurses 208 Health technologists and technicians, not elsewhere classified 214 Engineering technicians, not elsewhere classified 217 Drafters 218 Surveyors, cartographers, mapping scientists and technicians 223 Biological technicians 224 Chemical technicians 225 Other science technicians 226 Airplane pilots and navigators 227 Air traffic controllers 228 Broadcast equipment operators 229 Computer software developers 233 Programmers of numerically controlled machine tools 234 Legal assistants, paralegals, legal support, etc 243 Supervisors and proprietors of sales jobs 253 Insurance sales occupations 254 Real estate sales occupations 255 Financial services sales occupations 256 Advertising and related sales jobs 258 Sales engineers 274 Salespersons, not elsewhere classified 275 Retail sales clerks 276 Cashiers 277 Door-to-door sales, street sales, and news vendors 283 Sales demonstrators / promoters / models 303 Office supervisors 308 Computer and peripheral equipment operators 313 Secretaries 315 Typists 316 Interviewers, enumerators, and surveyors 317 Hotel clerks 318 Transportation ticket and reservation agents 319 Receptionists 326 Correspondence and order clerks 328 Human resources clerks, except payroll and timekeeping 329 Library assistants 335 File clerks 336 Records clerks 337 Bookkeepers and accounting and auditing clerks 338 Payroll and timekeeping clerks 344 Billing clerks and related financial records processing 346 Mail and paper handlers 347 Office machine operators, not elsewhere classified 348 Telephone operators 349 Other telecom operators 354 Postal clerks, excluding mail carriers 355 Mail carriers for postal service 356 Mail clerks, outside of post office 357 Messengers 359 Dispatchers 364 Shipping and receiving clerks 365 Stock and inventory clerks 366 Meter readers 368 Weighers, measurers, and checkers 373 Material recording, scheduling, production, planning, and expediting clerks 375 Insurance adjusters, examiners, and investigators 376 Customer service reps, investigators and adjusters, except insurance 377 Eligibility clerks for government programs; social welfare 378 Bill and account collectors 379 General office clerks 383 Bank tellers 384 Proofreaders 385 Data entry keyers 386 Statistical clerks 387 Teacher's aides 389 Administrative support jobs, not elsewhere classified 405 Housekeepers, maids, butlers, stewards, and lodging quarters cleaners 415 Supervisors of guards 417 Fire fighting, prevention, and inspection 418 Police, detectives, and private investigators 423 Other law enforcement: sheriffs, bailiffs, correctional institution officers 425 Crossing guards and bridge tenders 426 Guards, watchmen, doorkeepers 427 Protective services, not elsewhere classified 434 Bartenders 435 Waiter/waitress 436 Cooks, variously defined 439 Kitchen workers 443 Waiter's assistant 444 Misc food prep workers 445 Dental assistants 446 Health aides, except nursing 447 Nursing aides, orderlies, and attendants 448 Supervisors of cleaning and building service 453 Janitors 454 Elevator operators 455 Pest control occupations 456 Supervisors of personal service jobs, not elsewhere classified 457 Barbers 458 Hairdressers and cosmetologists 459 Recreation facility attendants 461 Guides 462 Ushers 463 Public transportation attendants and inspectors 464 Baggage porters 465 Welfare service aides 468 Child care workers 469 Personal service occupations, nec 473 Farmers (owners and tenants) 479 Farm workers 485 Supervisors of agricultural occupations 486 Gardeners and groundskeepers 487 Animal caretakers except on farms 488 Graders and sorters of agricultural products 489 Inspectors of agricultural products 496 Timber, logging, and forestry workers 498 Fishers, hunters, and kindred 503 Supervisors of mechanics and repairers 505 Automobile mechanics 507 Bus, truck, and stationary engine mechanics 508 Aircraft mechanics 509 Small engine repairers 514 Auto body repairers 516 Heavy equipment and farm equipment mechanics 518 Industrial machinery repairers 519 Machinery maintenance occupations 523 Repairers of industrial electrical equipment 525 Repairers of data processing equipment 526 Repairers of household appliances and power tools 527 Telecom and line installers and repairers 533 Repairers of electrical equipment, not elsewhere classified 534 Heating, air conditioning, and refigeration mechanics 535 Precision makers, repairers, and smiths 536 Locksmiths and safe repairers 539 Repairers of mechanical controls and valves 543 Elevator installers and repairers 544 Millwrights 549 Mechanics and repairers, not elsewhere classified 558 Supervisors of construction work 563 Masons, tilers, and carpet installers 567 Carpenters 573 Drywall installers 575 Electricians 577 Electric power installers and repairers 579 Painters, construction and maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, pipe fitters, and steamfitters 588 Concrete and cement workers 589 Glaziers 593 Insulation workers 594 Paving, surfacing, and tamping equipment operators 595 Roofers and slaters 596 Sheet metal duct installers 597 Structural metal workers 598 Drillers of earth 599 Construction trades, not elsewhere classified 614 Drillers of oil wells 615 Explosives workers 616 Miners 617 Other mining occupations 628 Production supervisors or foremen 634 Tool and die makers and die setters 637 Machinists 643 Boilermakers 644 Precision grinders and filers 645 Patternmakers and model makers 649 Engravers 657 Cabinetmakers and bench carpenters 658 Furniture and wood finishers 666 Dressmakers and seamstresses 668 Upholsterers 669 Shoe repairers 675 Hand molders and shapers, except jewelers 677 Optical goods workers 678 Dental laboratory and medical appliance technicians 679 Bookbinders 686 Butchers and meat cutters 687 Bakers 688 Batch food makers 694 Water and sewage treatment plant operators 695 Power plant operators 696 Plant and system operators, stationary engineers 699 Other plant and system operators 703 Lathe, milling, and turning machine operatives 706 Punching and stamping press operatives 707 Rollers, roll hands, and finishers of metal 708 Drilling and boring machine operators 709 Grinding, abrading, buffing, and polishing workers 713 Forge and hammer operators 719 Molders, and casting machine operators 723 Metal platers 724 Heat treating equipment operators 726 Wood lathe, routing, and planing machine operators 727 Sawing machine operators and sawyers 729 Nail and tacking machine operators (woodworking) 733 Other woodworking machine operators 736 Typesetters and compositors 738 Winding and twisting textile/apparel operatives 739 Knitters, loopers, and toppers textile operatives 743 Textile cutting machine operators 744 Textile sewing machine operators 745 Shoemaking machine operators 747 Pressing machine operators (clothing) 748 Laundry workers 749 Misc textile machine operators 753 Cementing and gluing maching operators 754 Packers, fillers, and wrappers 755 Extruding and forming machine operators 756 Mixing and blending machine operatives 757 Separating, filtering, and clarifying machine operators 759 Painting machine operators 763 Roasting and baking machine operators (food) 764 Washing, cleaning, and pickling machine operators 765 Paper folding machine operators 766 Furnace, kiln, and oven operators, apart from food 769 Slicing and cutting machine operators 773 Motion picture projectionists 774 Photographic process workers 779 Machine operators, not elsewhere classified 783 Welders and metal cutters 785 Assemblers of electrical equipment 799 Graders and sorters in manufacturing 803 Supervisors of motor vehicle transportation 804 Truck, delivery, and tractor drivers 808 Bus drivers 809 Taxi cab drivers and chauffeurs 813 Parking lot attendants 823 Railroad conductors and yardmasters 824 Locomotive operators (engineers and firemen) 825 Railroad brake, coupler, and switch operators 829 Ship crews and marine engineers 844 Operating engineers of construction equipment 848 Crane, derrick, winch, and hoist operators 853 Excavating and loading machine operators 859 Misc material moving occupations 865 Helpers, constructions 866 Helpers, surveyors 869 Construction laborers 874 Production helpers 875 Garbage and recyclable material collectors 878 Machine feeders and offbearers 883 Freight, stock, and materials handlers 885 Garage and service station related occupations 887 Vehicle washers and equipment cleaners 888 Packers and packagers by hand 889 Laborers outside construction 905 Military This variable indicates the person's occupation, 1990 basis. Work: Occupation Variables -- PERSON IPUMS PUMA of residence 1 year ago PUMA of residence 1 year ago PUMA of residence 1 year ago PUMA of residence 1 year ago PUMA of residence 1 year ago 15. a) Did this person live in this house or apartment 1 year ago? [] Person is under 1 year old -&gt; skip to question 16. [] Yes, this house -&gt; skip to question 16 [] No, outside the United States and Puerto Rico - Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16. ____ [] No, different house in the United States or Puerto Rico b) Where did this person live 1 year ago? Address (Number and street name) ____ Name of city, town, or post office ____ Name or U.S. county or municipio in Puerto Rico ____ Name of U.S. state or Puerto Rico zip code ____ Persons 1+ who were living in another house in the US 1 year ago NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 66 66 67 67 68 68 77 77 81 81 82 82 This variable indicates the person's PUMA of residence 1 year ago. Migration Variables -- PERSON IPUMS Time of arrival at work last week Time of arrival at work last week Time of arrival at work last week Time of arrival at work last week Time of arrival at work last week Time of arrival at work last week Persons age 16+ at work outside home NIU (not in universe) 4 00:04 9 00:09 14 00:14 19 00:19 24 00:24 29 00:29 39 00:39 44 00:44 49 00:49 59 00:59 104 01:04 109 01:09 114 01:14 119 01:19 124 01:24 129 01:29 134 01:34 139 01:39 144 01:44 149 01:49 159 01:59 204 02:04 209 02:09 214 02:14 219 02:19 224 02:24 229 02:29 234 02:34 239 02:39 244 02:44 249 02:49 254 02:54 259 02:59 304 03:04 309 03:09 314 03:14 319 03:19 324 03:24 329 03:29 334 03:34 339 03:39 344 03:44 349 03:49 354 03:54 359 03:59 404 04:04 409 04:09 414 04:14 419 04:19 424 04:24 429 04:29 434 04:34 439 04:39 444 04:44 449 04:49 454 04:54 459 04:59 504 05:04 509 05:09 514 05:14 519 05:19 524 05:24 529 05:29 534 05:34 539 05:39 544 05:44 549 05:49 554 05:54 559 05:59 604 06:04 609 06:09 614 06:14 619 06:19 624 06:24 629 06:29 634 06:34 639 06:39 644 06:44 649 06:49 654 06:54 659 06:59 704 07:04 709 07:09 714 07:14 719 07:19 724 07:24 729 07:29 734 07:34 739 07:39 744 07:44 749 07:49 754 07:54 759 07:59 804 08:04 809 08:09 814 08:14 819 08:19 824 08:24 829 08:29 834 08:34 839 08:39 844 08:44 849 08:49 854 08:54 859 08:59 904 09:04 909 09:09 914 09:14 919 09:19 924 09:24 929 09:29 934 09:34 939 09:39 944 09:44 949 09:49 954 09:54 959 09:59 1004 10:04 1009 10:09 1014 10:14 1019 10:19 1024 10:24 1029 10:29 1034 10:34 1039 10:39 1044 10:44 1049 10:49 1054 10:54 1059 10:59 1104 11:04 1109 11:09 1114 11:14 1119 11:19 1124 11:24 1129 11:29 1134 11:34 1139 11:39 1144 11:44 1149 11:49 1154 11:54 1159 11:59 1204 12:04 1209 12:09 1214 12:14 1219 12:19 1224 12:24 1229 12:29 1234 12:34 1239 12:39 1244 12:44 1249 12:49 1254 12:54 1259 12:59 1304 13:04 1309 13:09 1314 13:14 1319 13:19 1324 13:24 1329 13:29 1334 13:34 1339 13:39 1344 13:44 1349 13:49 1354 13:54 1359 13:59 1404 14:04 1409 14:09 1414 14:14 1419 14:19 1424 14:24 1429 14:29 1434 14:34 1439 14:39 1444 14:44 1449 14:49 1454 14:54 1459 14:59 1504 15:04 1509 15:09 1514 15:14 1519 15:19 1524 15:24 1529 15:29 1534 15:34 1539 15:39 1544 15:44 1549 15:49 1554 15:54 1559 15:59 1604 16:04 1609 16:09 1614 16:14 1619 16:19 1624 16:24 1629 16:29 1634 16:34 1639 16:39 1644 16:44 1649 16:49 1654 16:54 1659 16:59 1704 17:04 1709 17:09 1714 17:14 1719 17:19 1724 17:24 1729 17:29 1734 17:34 1739 17:39 1744 17:44 1749 17:49 1754 17:54 1759 17:59 1804 18:04 1809 18:09 1814 18:14 1819 18:19 1824 18:24 1829 18:29 1834 18:34 1839 18:39 1844 18:44 1849 18:49 1854 18:54 1859 18:59 1904 19:04 1909 19:09 1914 19:14 1919 19:19 1924 19:24 1929 19:29 1934 19:34 1939 19:39 1944 19:44 1949 19:49 1954 19:54 1959 19:59 2004 20:04 2009 20:09 2014 20:14 2019 20:19 2024 20:24 2029 20:29 2034 20:34 2039 20:39 2044 20:44 2049 20:49 2054 20:54 2059 20:59 2104 21:04 2109 21:09 2114 21:14 2119 21:19 2124 21:24 2129 21:29 2134 21:34 2139 21:39 2144 21:44 2149 21:49 2154 21:54 2159 21:59 2204 22:04 2209 22:09 2214 22:14 2219 22:19 2224 22:24 2229 22:29 2234 22:34 2239 22:39 2244 22:44 2249 22:49 2254 22:54 2259 22:59 2304 23:04 2309 23:09 2314 23:14 2319 23:19 2324 23:24 2329 23:29 2334 23:34 2339 23:39 2344 23:44 2349 23:49 2354 23:54 2359 23:59 This variable indicates the person's time of arrival at work during the last week. Work Variables -- PERSON IPUMS Super-PUMA of residence 1 year ago Super-PUMA of residence 1 year ago Super-PUMA of residence 1 year ago Super-PUMA of residence 1 year ago Super-PUMA of residence 1 year ago Super-PUMA of residence 1 year ago Persons 1+ who were living in another house in the US 1 year ago NIU (not in universe) 10 10 20 20 30 30 40 40 50 50 60 60 69 69 70 70 79 79 80 80 81 81 88 88 89 89 90 90 91 91 99 99 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 259 259 270 270 300 300 309 309 400 400 409 409 500 500 600 600 700 700 800 800 809 809 900 900 This variable indicates the person's super-PUMA of residence 1 year ago. Migration Variables -- PERSON IPUMS City of residence 1 year ago City of residence 1 year ago City of residence 1 year ago City of residence 1 year ago City of residence 1 year ago 15. a) Did this person live in this house or apartment 1 year ago? [] Person is under 1 year old -&gt; skip to question 16. [] Yes, this house -&gt; skip to question 16 [] No, outside the United States and Puerto Rico - Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16. ____ [] No, different house in the United States or Puerto Rico b) Where did this person live 1 year ago? Address (Number and street name) ____ Name of city, town, or post office ____ Name or U.S. county or municipio in Puerto Rico ____ Name of U.S. state or Puerto Rico zip code ____ Persons 1+ who were living in another house in the US 1 year ago NIU (not in universe) 90 Alexandria, VA 210 Anchorage, AK 530 Baltimore, MD 810 Boston, MA 830 Bridgeport, CT 930 Cambridge, MA 1150 Chesapeake, VA 1430 Columbus, GA 1730 Des Moines, IA 2650 Hampton, VA 2710 Hartford, CT 3590 Lexington-Fayette, KY 3770 Lowell, MA 3910 Manchester, NH 4530 New Haven, CT 4570 New Orleans, LA 4610 New York, NY 4750 Newport News, VA 4810 Norfolk, VA 5330 Philadelphia, PA 5650 Providence, RI 5870 Richmond, VA 6090 Saint Louis, MO 6290 San Francisco, CA 6670 Springfield, MA 6730 Stamford, CT 7130 Virginia Beach, VA 7230 Washington, DC 7250 Waterbury, CT 7570 Worcester, MA 9999 Unknown This variable indicates the person's city of residence 1 year ago. Migration Variables -- PERSON IPUMS Tribe Tribe Tribe Tribe Tribe Note: Please answer BOTH Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races. 6. What is Person 1's race? Mark (X) one or more boxes. [] White [] Black [] African Am. or Negro [] American Indian or Alaska Native Print name of enrolled or principal tribe ____ [] Asian Indian [] Japanese [] Native Hawaiian [] Chinese [] Korean [] Guamanian or Chamorro [] Filipino [] Vietnamese [] Samoan [] Other Asian Print race: ____ [] Other Pacific Islander Print race, for example, for example, Hmong, Laotian, Fijian, Tongan, and so on: ____ Thai, Pakistani, Cambodian, and so on. ____ [] Some other race Print race. ____ Persons who reported American Indian or Alaska Native race NIU (not in universe) 100300 Alaskan Athabaskan 100400 Aleut 100500 Eskimo 100601 Haida 100800 Alaska Native, not elsewhere classified 200300 Apache 200800 Blackfoot 201900 Cherokee 202000 Cheyenne 202100 Chickasaw 202300 Chippewa 202500 Choctaw 202800 Colville 202900 Comanche 203500 Creek 203700 Crow 203800 Delaware 204600 Iowa 204700 Iroquois 206000 Lumbee 206500 Menominee 207500 Navajo 208400 Paiute 209000 Pima 209400 Potawatomie 209600 Pueblo 209700 Puget Sound Salish 210200 Seminole 211000 Sioux 211300 Tohono O'Odham 212600 Yakima 212700 Yaqui 213200 American Indian, tribe not elsewhere classified 213300 American Indian, tribe not reported 213400 All other specified American Indian tribe combinations 300100 American Indian or Alaska Native, tribe not elsewhere classified This variable indicates the person's tribe. Ethnicity and Language Variables -- PERSON IPUMS Internal version of race from the PUMS Internal version of race from the PUMS Internal version of race from the PUMS Internal version of race from the PUMS Internal version of race from the PUMS Internal version of race from the PUMS All persons 1 White alone 2 Black or African American alone 3 American Indian alone 4 Alaska Native alone 5 American Indian and Alaska Native and no other race 6 Asian alone 7 Native Hawaiian and Other Pacific Islander alone 8 Other race alone 9 Two or more major race groups This variable is an internal version of race from the PUMS. Ethnicity and Language Variables -- PERSON IPUMS Socioeconomic Index, Hauser and Warren Socioeconomic Index, Hauser and Warren Socioeconomic Index, Hauser and Warren Socioeconomic Index, Hauser and Warren Socioeconomic Index, Hauser and Warren Socioeconomic Index, Hauser and Warren Persons with an occupational response in OCC1990, except military This variable indicates the person's socioeconomic Index, Hauser and Warren. Work Variables -- PERSON IPUMS Occupational prestige score, Siegel Occupational prestige score, Siegel Occupational prestige score, Siegel Occupational prestige score, Siegel Occupational prestige score, Siegel Occupational prestige score, Siegel Persons with an occupational response in OCC1990, except military This variable indicates the person's occupational prestige score, Siegel. Work Variables -- PERSON IPUMS Occupational prestige score, Nakao and Treas Occupational prestige score, Nakao and Treas Occupational prestige score, Nakao and Treas Occupational prestige score, Nakao and Treas Occupational prestige score, Nakao and Treas Occupational prestige score, Nakao and Treas Persons with an occupational response in OCC1990, except military This variable indicates the person's occupational prestige score, Nakao and Treas. Work Variables -- PERSON IPUMS Occupational earnings score, 1950 basis Occupational earnings score, 1950 basis Occupational earnings score, 1950 basis Occupational earnings score, 1950 basis Occupational earnings score, 1950 basis Occupational earnings score, 1950 basis Persons with an occupational response in OCC1990, except military This variable indicates the person's occupational earnings score, 1950 basis. Work Variables -- PERSON IPUMS Occupational earnings score, 1990 basis Occupational earnings score, 1990 basis Occupational earnings score, 1990 basis Occupational earnings score, 1990 basis Occupational earnings score, 1990 basis Occupational earnings score, 1990 basis Persons with an occupational response in OCC1990, except military This variable indicates the person's occupational earnings score, 1990 basis. Work Variables -- PERSON IPUMS Occupational education score, 1950 basis Occupational education score, 1950 basis Occupational education score, 1950 basis Occupational education score, 1950 basis Occupational education score, 1950 basis Occupational education score, 1950 basis Persons with an occupational response in OCC1990, except military This variable indicates the person's occupational education score, 1950 basis. Work Variables -- PERSON IPUMS Occupational education score, 1990 basis Occupational education score, 1990 basis Occupational education score, 1990 basis Occupational education score, 1990 basis Occupational education score, 1990 basis Occupational education score, 1990 basis Persons with an occupational response in OCC1990, except military This variable indicates the person's occupational education score, 1990 basis. Work Variables -- PERSON IPUMS Nam-Powers-Boyd occupational status score, 1950 basis Nam-Powers-Boyd occupational status score, 1950 basis Nam-Powers-Boyd occupational status score, 1950 basis Nam-Powers-Boyd occupational status score, 1950 basis Nam-Powers-Boyd occupational status score, 1950 basis Nam-Powers-Boyd occupational status score, 1950 basis Persons with an occupational response in OCC1990, except military This variable indicates the person's Nam-Powers-Boyd occupational status score, 1950 basis. Work Variables -- PERSON IPUMS Nam-Powers-Boyd occupational status score, 1990 basis Nam-Powers-Boyd occupational status score, 1990 basis Nam-Powers-Boyd occupational status score, 1990 basis Nam-Powers-Boyd occupational status score, 1990 basis Nam-Powers-Boyd occupational status score, 1990 basis Nam-Powers-Boyd occupational status score, 1990 basis Persons with an occupational response in OCC1990, except military This variable indicates the person's Nam-Powers-Boyd occupational status score, 1990 basis . Work Variables -- PERSON IPUMS Person replicate weight 1 Person replicate weight 1 Person replicate weight 1 Person replicate weight 1 Person replicate weight 1 Person replicate weight 1 All persons This variable indicates the person replicate weight 1. Technical Person Variables -- PERSON IPUMS Person replicate weight 2 Person replicate weight 2 Person replicate weight 2 Person replicate weight 2 Person replicate weight 2 Person replicate weight 2 All persons This variable indicates the person replicate weight 2. Technical Person Variables -- PERSON IPUMS Person replicate weight 3 Person replicate weight 3 Person replicate weight 3 Person replicate weight 3 Person replicate weight 3 Person replicate weight 3 All persons This variable indicates the person replicate weight 3. Technical Person Variables -- PERSON IPUMS Person replicate weight 4 Person replicate weight 4 Person replicate weight 4 Person replicate weight 4 Person replicate weight 4 Person replicate weight 4 All persons This variable indicates the person replicate weight 4. Technical Person Variables -- PERSON IPUMS Person replicate weight 5 Person replicate weight 5 Person replicate weight 5 Person replicate weight 5 Person replicate weight 5 Person replicate weight 5 All persons This variable indicates the person replicate weight 5. Technical Person Variables -- PERSON IPUMS Person replicate weight 6 Person replicate weight 6 Person replicate weight 6 Person replicate weight 6 Person replicate weight 6 Person replicate weight 6 All persons This variable indicates the person replicate weight 6. Technical Person Variables -- PERSON IPUMS Person replicate weight 7 Person replicate weight 7 Person replicate weight 7 Person replicate weight 7 Person replicate weight 7 Person replicate weight 7 All persons This variable indicates the person replicate weight 7. Technical Person Variables -- PERSON IPUMS Person replicate weight 8 Person replicate weight 8 Person replicate weight 8 Person replicate weight 8 Person replicate weight 8 Person replicate weight 8 All persons This variable indicates the person replicate weight 8. Technical Person Variables -- PERSON IPUMS Person replicate weight 9 Person replicate weight 9 Person replicate weight 9 Person replicate weight 9 Person replicate weight 9 Person replicate weight 9 All persons This variable indicates the person replicate weight 9. Technical Person Variables -- PERSON IPUMS Person replicate weight 10 Person replicate weight 10 Person replicate weight 10 Person replicate weight 10 Person replicate weight 10 Person replicate weight 10 All persons This variable indicates the person replicate weight 10. Technical Person Variables -- PERSON IPUMS Person replicate weight 11 Person replicate weight 11 Person replicate weight 11 Person replicate weight 11 Person replicate weight 11 Person replicate weight 11 All persons This variable indicates the person replicate weight 11. Technical Person Variables -- PERSON IPUMS Person replicate weight 12 Person replicate weight 12 Person replicate weight 12 Person replicate weight 12 Person replicate weight 12 Person replicate weight 12 All persons This variable indicates the person replicate weight 12. Technical Person Variables -- PERSON IPUMS Person replicate weight 13 Person replicate weight 13 Person replicate weight 13 Person replicate weight 13 Person replicate weight 13 Person replicate weight 13 All persons This variable indicates the person replicate weight 13. Technical Person Variables -- PERSON IPUMS Person replicate weight 14 Person replicate weight 14 Person replicate weight 14 Person replicate weight 14 Person replicate weight 14 Person replicate weight 14 All persons This variable indicates the person replicate weight 14. Technical Person Variables -- PERSON IPUMS Person replicate weight 15 Person replicate weight 15 Person replicate weight 15 Person replicate weight 15 Person replicate weight 15 Person replicate weight 15 All persons This variable indicates the person replicate weight 15. Technical Person Variables -- PERSON IPUMS Person replicate weight 16 Person replicate weight 16 Person replicate weight 16 Person replicate weight 16 Person replicate weight 16 Person replicate weight 16 All persons This variable indicates the person replicate weight 16. Technical Person Variables -- PERSON IPUMS Person replicate weight 17 Person replicate weight 17 Person replicate weight 17 Person replicate weight 17 Person replicate weight 17 Person replicate weight 17 All persons This variable indicates the person replicate weight 17. Technical Person Variables -- PERSON IPUMS Person replicate weight 18 Person replicate weight 18 Person replicate weight 18 Person replicate weight 18 Person replicate weight 18 Person replicate weight 18 All persons This variable indicates the person replicate weight 18. Technical Person Variables -- PERSON IPUMS Person replicate weight 19 Person replicate weight 19 Person replicate weight 19 Person replicate weight 19 Person replicate weight 19 Person replicate weight 19 All persons This variable indicates the person replicate weight 19. Technical Person Variables -- PERSON IPUMS Person replicate weight 20 Person replicate weight 20 Person replicate weight 20 Person replicate weight 20 Person replicate weight 20 Person replicate weight 20 All persons This variable indicates the person replicate weight 20. Technical Person Variables -- PERSON IPUMS Person replicate weight 21 Person replicate weight 21 Person replicate weight 21 Person replicate weight 21 Person replicate weight 21 Person replicate weight 21 All persons This variable indicates the person replicate weight 21. Technical Person Variables -- PERSON IPUMS Person replicate weight 22 Person replicate weight 22 Person replicate weight 22 Person replicate weight 22 Person replicate weight 22 Person replicate weight 22 All persons This variable indicates the person replicate weight 22. Technical Person Variables -- PERSON IPUMS Person replicate weight 23 Person replicate weight 23 Person replicate weight 23 Person replicate weight 23 Person replicate weight 23 Person replicate weight 23 All persons This variable indicates the person replicate weight 23. Technical Person Variables -- PERSON IPUMS Person replicate weight 24 Person replicate weight 24 Person replicate weight 24 Person replicate weight 24 Person replicate weight 24 Person replicate weight 24 All persons This variable indicates the person replicate weight 24. Technical Person Variables -- PERSON IPUMS Person replicate weight 25 Person replicate weight 25 Person replicate weight 25 Person replicate weight 25 Person replicate weight 25 Person replicate weight 25 All persons This variable indicates the person replicate weight 25. Technical Person Variables -- PERSON IPUMS Person replicate weight 26 Person replicate weight 26 Person replicate weight 26 Person replicate weight 26 Person replicate weight 26 Person replicate weight 26 All persons This variable indicates the person replicate weight 26. Technical Person Variables -- PERSON IPUMS Person replicate weight 27 Person replicate weight 27 Person replicate weight 27 Person replicate weight 27 Person replicate weight 27 Person replicate weight 27 All persons This variable indicates the person replicate weight 27. Technical Person Variables -- PERSON IPUMS Person replicate weight 28 Person replicate weight 28 Person replicate weight 28 Person replicate weight 28 Person replicate weight 28 Person replicate weight 28 All persons This variable indicates the person replicate weight 28. Technical Person Variables -- PERSON IPUMS Person replicate weight 29 Person replicate weight 29 Person replicate weight 29 Person replicate weight 29 Person replicate weight 29 Person replicate weight 29 All persons This variable indicates the person replicate weight 29. Technical Person Variables -- PERSON IPUMS Person replicate weight 30 Person replicate weight 30 Person replicate weight 30 Person replicate weight 30 Person replicate weight 30 Person replicate weight 30 All persons This variable indicates the person replicate weight 30. Technical Person Variables -- PERSON IPUMS Person replicate weight 31 Person replicate weight 31 Person replicate weight 31 Person replicate weight 31 Person replicate weight 31 Person replicate weight 31 All persons This variable indicates the person replicate weight 31. Technical Person Variables -- PERSON IPUMS Person replicate weight 32 Person replicate weight 32 Person replicate weight 32 Person replicate weight 32 Person replicate weight 32 Person replicate weight 32 All persons This variable indicates the person replicate weight 32. Technical Person Variables -- PERSON IPUMS Person replicate weight 33 Person replicate weight 33 Person replicate weight 33 Person replicate weight 33 Person replicate weight 33 Person replicate weight 33 All persons This variable indicates the person replicate weight 33. Technical Person Variables -- PERSON IPUMS Person replicate weight 34 Person replicate weight 34 Person replicate weight 34 Person replicate weight 34 Person replicate weight 34 Person replicate weight 34 All persons This variable indicates the person replicate weight 34. Technical Person Variables -- PERSON IPUMS Person replicate weight 35 Person replicate weight 35 Person replicate weight 35 Person replicate weight 35 Person replicate weight 35 Person replicate weight 35 All persons This variable indicates the person replicate weight 35. Technical Person Variables -- PERSON IPUMS Person replicate weight 36 Person replicate weight 36 Person replicate weight 36 Person replicate weight 36 Person replicate weight 36 Person replicate weight 36 All persons This variable indicates the person replicate weight 36. Technical Person Variables -- PERSON IPUMS Person replicate weight 37 Person replicate weight 37 Person replicate weight 37 Person replicate weight 37 Person replicate weight 37 Person replicate weight 37 All persons This variable indicates the person replicate weight 37. Technical Person Variables -- PERSON IPUMS Person replicate weight 38 Person replicate weight 38 Person replicate weight 38 Person replicate weight 38 Person replicate weight 38 Person replicate weight 38 All persons This variable indicates the person replicate weight 38. Technical Person Variables -- PERSON IPUMS Person replicate weight 39 Person replicate weight 39 Person replicate weight 39 Person replicate weight 39 Person replicate weight 39 Person replicate weight 39 All persons This variable indicates the person replicate weight 39. Technical Person Variables -- PERSON IPUMS Person replicate weight 40 Person replicate weight 40 Person replicate weight 40 Person replicate weight 40 Person replicate weight 40 Person replicate weight 40 All persons This variable indicates the person replicate weight 40. Technical Person Variables -- PERSON IPUMS Person replicate weight 41 Person replicate weight 41 Person replicate weight 41 Person replicate weight 41 Person replicate weight 41 Person replicate weight 41 All persons This variable indicates the person replicate weight 41. Technical Person Variables -- PERSON IPUMS Person replicate weight 42 Person replicate weight 42 Person replicate weight 42 Person replicate weight 42 Person replicate weight 42 Person replicate weight 42 All persons This variable indicates the person replicate weight 42. Technical Person Variables -- PERSON IPUMS Person replicate weight 43 Person replicate weight 43 Person replicate weight 43 Person replicate weight 43 Person replicate weight 43 Person replicate weight 43 All persons This variable indicates the person replicate weight 43. Technical Person Variables -- PERSON IPUMS Person replicate weight 44 Person replicate weight 44 Person replicate weight 44 Person replicate weight 44 Person replicate weight 44 Person replicate weight 44 All persons This variable indicates the person replicate weight 44. Technical Person Variables -- PERSON IPUMS Person replicateweight 45 Person replicateweight 45 Person replicateweight 45 Person replicateweight 45 Person replicateweight 45 Person replicateweight 45 All persons This variable indicates the person replicate weight 45. Technical Person Variables -- PERSON IPUMS Person replicate weight 46 Person replicate weight 46 Person replicate weight 46 Person replicate weight 46 Person replicate weight 46 Person replicate weight 46 All persons This variable indicates the person replicate weight 46. Technical Person Variables -- PERSON IPUMS Person replicate weight 47 Person replicate weight 47 Person replicate weight 47 Person replicate weight 47 Person replicate weight 47 Person replicate weight 47 All persons This variable indicates the person replicate weight 47. Technical Person Variables -- PERSON IPUMS Person replicate weight 48 Person replicate weight 48 Person replicate weight 48 Person replicate weight 48 Person replicate weight 48 Person replicate weight 48 All persons This variable indicates the person replicate weight 48. Technical Person Variables -- PERSON IPUMS Person replicate weight 49 Person replicate weight 49 Person replicate weight 49 Person replicate weight 49 Person replicate weight 49 Person replicate weight 49 All persons This variable indicates the person replicate weight 49. Technical Person Variables -- PERSON IPUMS Person replicate weight 50 Person replicate weight 50 Person replicate weight 50 Person replicate weight 50 Person replicate weight 50 Person replicate weight 50 All persons This variable indicates the person replicate weight 50. Technical Person Variables -- PERSON IPUMS Person replicate weight 51 Person replicate weight 51 Person replicate weight 51 Person replicate weight 51 Person replicate weight 51 Person replicate weight 51 All persons This variable indicates the person replicate weight 51. Technical Person Variables -- PERSON IPUMS Person replicate weight 52 Person replicate weight 52 Person replicate weight 52 Person replicate weight 52 Person replicate weight 52 Person replicate weight 52 All persons This variable indicates the person replicate weight 52. Technical Person Variables -- PERSON IPUMS Person replicate weight 53 Person replicate weight 53 Person replicate weight 53 Person replicate weight 53 Person replicate weight 53 Person replicate weight 53 All persons This variable indicates the person replicate weight 53. Technical Person Variables -- PERSON IPUMS Person replicate weight 54 Person replicate weight 54 Person replicate weight 54 Person replicate weight 54 Person replicate weight 54 Person replicate weight 54 All persons This variable indicates the person replicate weight 54. Technical Person Variables -- PERSON IPUMS Person replicate weight 55 Person replicate weight 55 Person replicate weight 55 Person replicate weight 55 Person replicate weight 55 Person replicate weight 55 All persons This variable indicates the person replicate weight 55. Technical Person Variables -- PERSON IPUMS Person replicate weight 56 Person replicate weight 56 Person replicate weight 56 Person replicate weight 56 Person replicate weight 56 Person replicate weight 56 All persons This variable indicates the person replicate weight 56. Technical Person Variables -- PERSON IPUMS Person replicate weight 57 Person replicate weight 57 Person replicate weight 57 Person replicate weight 57 Person replicate weight 57 Person replicate weight 57 All persons This variable indicates the person replicate weight 57. Technical Person Variables -- PERSON IPUMS Person replicate weight 58 Person replicate weight 58 Person replicate weight 58 Person replicate weight 58 Person replicate weight 58 Person replicate weight 58 All persons This variable indicates the person replicate weight 58. Technical Person Variables -- PERSON IPUMS Person replicate weight 59 Person replicate weight 59 Person replicate weight 59 Person replicate weight 59 Person replicate weight 59 Person replicate weight 59 All persons This variable indicates the person replicate weight 59. Technical Person Variables -- PERSON IPUMS Person replicate weight 60 Person replicate weight 60 Person replicate weight 60 Person replicate weight 60 Person replicate weight 60 Person replicate weight 60 All persons This variable indicates the person replicate weight 60. Technical Person Variables -- PERSON IPUMS Person replicate weight 61 Person replicate weight 61 Person replicate weight 61 Person replicate weight 61 Person replicate weight 61 Person replicate weight 61 All persons This variable indicates the person replicate weight 61. Technical Person Variables -- PERSON IPUMS Person replicate weight 62 Person replicate weight 62 Person replicate weight 62 Person replicate weight 62 Person replicate weight 62 Person replicate weight 62 All persons This variable indicates the person replicate weight 62. Technical Person Variables -- PERSON IPUMS Person replicate weight 63 Person replicate weight 63 Person replicate weight 63 Person replicate weight 63 Person replicate weight 63 Person replicate weight 63 All persons This variable indicates the person replicate weight 63. Technical Person Variables -- PERSON IPUMS Person replicate weight 64 Person replicate weight 64 Person replicate weight 64 Person replicate weight 64 Person replicate weight 64 Person replicate weight 64 All persons This variable indicates the person replicate weight 64. Technical Person Variables -- PERSON IPUMS Person replicate weight 65 Person replicate weight 65 Person replicate weight 65 Person replicate weight 65 Person replicate weight 65 Person replicate weight 65 All persons This variable indicates the person replicate weight 65. Technical Person Variables -- PERSON IPUMS Person replicate weight 66 Person replicate weight 66 Person replicate weight 66 Person replicate weight 66 Person replicate weight 66 Person replicate weight 66 All persons This variable indicates the person replicate weight 66. Technical Person Variables -- PERSON IPUMS Person replicate weight 67 Person replicate weight 67 Person replicate weight 67 Person replicate weight 67 Person replicate weight 67 Person replicate weight 67 All persons This variable indicates the person replicate weight 67. Technical Person Variables -- PERSON IPUMS Person replicate weight 68 Person replicate weight 68 Person replicate weight 68 Person replicate weight 68 Person replicate weight 68 Person replicate weight 68 All persons This variable indicates the person replicate weight 68. Technical Person Variables -- PERSON IPUMS Person replicate weight 69 Person replicate weight 69 Person replicate weight 69 Person replicate weight 69 Person replicate weight 69 Person replicate weight 69 All persons This variable indicates the person replicate weight 69. Technical Person Variables -- PERSON IPUMS Person replicate weight 70 Person replicate weight 70 Person replicate weight 70 Person replicate weight 70 Person replicate weight 70 Person replicate weight 70 All persons This variable indicates the person replicate weight 70. Technical Person Variables -- PERSON IPUMS Person replicate weight 71 Person replicate weight 71 Person replicate weight 71 Person replicate weight 71 Person replicate weight 71 Person replicate weight 71 All persons This variable indicates the person replicate weight 71. Technical Person Variables -- PERSON IPUMS Person replicate weight 72 Person replicate weight 72 Person replicate weight 72 Person replicate weight 72 Person replicate weight 72 Person replicate weight 72 All persons This variable indicates the person replicate weight 72. Technical Person Variables -- PERSON IPUMS Person replicate weight 73 Person replicate weight 73 Person replicate weight 73 Person replicate weight 73 Person replicate weight 73 Person replicate weight 73 All persons This variable indicates the person replicate weight 73. Technical Person Variables -- PERSON IPUMS Person replicate weight 74 Person replicate weight 74 Person replicate weight 74 Person replicate weight 74 Person replicate weight 74 Person replicate weight 74 All persons This variable indicates the person replicate weight 74. Technical Person Variables -- PERSON IPUMS Person replicate weight 75 Person replicate weight 75 Person replicate weight 75 Person replicate weight 75 Person replicate weight 75 Person replicate weight 75 All persons This variable indicates the person replicate weight 75. Technical Person Variables -- PERSON IPUMS Person replicate weight 76 Person replicate weight 76 Person replicate weight 76 Person replicate weight 76 Person replicate weight 76 Person replicate weight 76 All persons This variable indicates the person replicate weight 76. Technical Person Variables -- PERSON IPUMS Person replicate weight 77 Person replicate weight 77 Person replicate weight 77 Person replicate weight 77 Person replicate weight 77 Person replicate weight 77 All persons This variable indicates the person replicate weight 77. Technical Person Variables -- PERSON IPUMS Person replicate weight 78 Person replicate weight 78 Person replicate weight 78 Person replicate weight 78 Person replicate weight 78 Person replicate weight 78 All persons This variable indicates the person replicate weight 78. Technical Person Variables -- PERSON IPUMS Person replicate weight 79 Person replicate weight 79 Person replicate weight 79 Person replicate weight 79 Person replicate weight 79 Person replicate weight 79 All persons This variable indicates the person replicate weight 79. Technical Person Variables -- PERSON IPUMS Person replicate weight 80 Person replicate weight 80 Person replicate weight 80 Person replicate weight 80 Person replicate weight 80 Person replicate weight 80 All persons This variable indicates the person replicate weight 80. Technical Person Variables -- PERSON IPUMS Person replicate weights Person replicate weights Person replicate weights Person replicate weights Person replicate weights Person replicate weights All persons 1 1 This variable indicates the person replicate weights. Technical Person Variables -- PERSON IPUMS Subfamily membership Subfamily membership Subfamily membership Subfamily membership Subfamily membership Subfamily membership All persons Group quarters or not in subfamily 1 1st subfamily in household 2 2nd subfamily in household 3 3rd 4 4th This variable indicates the person's subfamily membership. Constructed Family Interrelationship Variables -- PERSON IPUMS Subfamily type Subfamily type Subfamily type Subfamily type Subfamily type Subfamily type All persons Group quarters or not in subfamily 1 Married-couple related subfamily with children 2 Married-couple related subfamily without children 3 Father-child related subfamily 4 Mother-child related subfamily 5 Married-couple unrelated subfamily with children 6 Married-couple unrelated subfamily without children 7 Father-child unrelated subfamily 8 Mother-child unrelated subfamily This variable indicates the person's subfamily type. Constructed Family Interrelationship Variables -- PERSON IPUMS Relationship within subfamily Relationship within subfamily Relationship within subfamily Relationship within subfamily Relationship within subfamily Relationship within subfamily All persons Group quarters or not in subfamily 1 Reference person 2 Spouse (married-couple subfamily only) 3 Child This variable indicates the person's relationship within subfamily. Constructed Family Interrelationship Variables -- PERSON IPUMS Subfamily membership (alt) Subfamily membership (alt) Subfamily membership (alt) Subfamily membership (alt) Subfamily membership (alt) Subfamily membership (alt) All persons Group quarters or not in subfamily 1 1st subfamily in household 2 2nd subfamily in household 3 3rd 4 4th This variable indicates the person's subfamily membership (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Subfamily type (alt) Subfamily type (alt) Subfamily type (alt) Subfamily type (alt) Subfamily type (alt) Subfamily type (alt) All persons Group quarters or not in subfamily 1 Married-couple related subfamily with children 2 Married-couple related subfamily without children 3 Father-child related subfamily 4 Mother-child related subfamily 5 Married-couple unrelated subfamily with children 6 Married-couple unrelated subfamily without children 7 Father-child unrelated subfamily 8 Mother-child unrelated subfamily This variable indicates the person's subfamily type (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Relationship within subfamily (alt) Relationship within subfamily (alt) Relationship within subfamily (alt) Relationship within subfamily (alt) Relationship within subfamily (alt) Relationship within subfamily (alt) All persons Group quarters or not in subfamily 1 Reference person 3 Child This variable indicates the person's relationship within subfamily (alternative definition). Constructed Family Interrelationship Variables -- PERSON IPUMS Total family income (US$) Total family income (US$) Total family income (US$) Total family income (US$) Total family income (US$) Total family income (US$) Persons in private occupied households This variable indicates the person's total family income (in US$). Income Variables -- PERSON IPUMS Total family income (alt, US$)) Total family income (alt, US$)) Total family income (alt, US$)) Total family income (alt, US$)) Total family income (alt, US$)) Total family income (alt, US$)) Persons in private occupied households This variable indicates the person's total family income (alternative definition, in US$). Income Variables -- PERSON IPUMS Vision difficulty Vision difficulty Vision difficulty Vision difficulty Vision difficulty b) Is this person blind or does he/she have serious difficulty seeing even when wearing glasses? [] Yes [] No All persons 1 No 2 Yes This variable indicates whether the person has vision difficulty. Disability Variables -- PERSON IPUMS Hearing difficulty Hearing difficulty Hearing difficulty Hearing difficulty Hearing difficulty 17. a) Is this person deaf or does he/she have serious difficulty hearing? [] Yes [] No All persons 1 No 2 Yes This variable indicates whether the person has a hearing difficulty. Disability Variables -- PERSON IPUMS Divorced in the past year Divorced in the past year Divorced in the past year Divorced in the past year Divorced in the past year 21. In the past 12 months did this person get c) Divorced? [] Yes [] No Persons ever married NIU (not in universe) 1 No 2 Yes This variable indicates whether the person was divorced in the past year. Demographic Variables -- PERSON IPUMS Any health insurance coverage Any health insurance coverage Any health insurance coverage Any health insurance coverage Any health insurance coverage 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No All persons 1 No health insurance coverage 2 With health insurance coverage This variable indicates whether the person has any health insurance coverage. Other Person Variables -- PERSON IPUMS Private health insurance coverage Private health insurance coverage Private health insurance coverage Private health insurance coverage Private health insurance coverage 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No All persons 1 Without private health insurance coverage 2 With private health insurance coverage This variable indicates whether the person has private health insurance coverage. Other Person Variables -- PERSON IPUMS Health insurance through employer/union Health insurance through employer/union Health insurance through employer/union Health insurance through employer/union Health insurance through employer/union 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No a) Insurance through a current or former employer or union (of this person or another family member) [] Yes [] No All persons 1 No insurance through employer/union 2 Has insurance through employer/union This variable indicates whether the person has health insurance through employer/union. Other Person Variables -- PERSON IPUMS Health insurance purchased directly Health insurance purchased directly Health insurance purchased directly Health insurance purchased directly Health insurance purchased directly 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No b) Insurance purchased directly from an insurance company (by this person or another family member) [] Yes [] No All persons 1 No insurance purchased directly 2 Has insurance purchased directly This variable indicates whether the person has health insurance purchased directly. Other Person Variables -- PERSON IPUMS Health insurance through Tricare Health insurance through Tricare Health insurance through Tricare Health insurance through Tricare Health insurance through Tricare 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No e) TRICARE or other military health care [] Yes [] No All persons 1 No insurance through Tricare 2 Has insurance through Tricare This variable indicates whether the person has health insurance through Tricare. Other Person Variables -- PERSON IPUMS Public health insurance coverage Public health insurance coverage Public health insurance coverage Public health insurance coverage Public health insurance coverage 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No d) Medicaid, Medical Assistance, or any kind of government- assistance plan for those with low incomes or a disability [] Yes [] No All persons 1 Without public health insurance coverage 2 With public health insurance coverage This variable indicates whether the person has public health insurance coverage. Other Person Variables -- PERSON IPUMS Health insurance through Medicaid Health insurance through Medicaid Health insurance through Medicaid Health insurance through Medicaid Health insurance through Medicaid 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No d) Medicaid, Medical Assistance, or any kind of government- assistance plan for those with low incomes or a disability [] Yes [] No All persons 1 No insurance through Medicaid 2 Has insurance through Medicaid This variable indicates whether the person has health insurance through Medicaid. Other Person Variables -- PERSON IPUMS Health insurance through Medicare Health insurance through Medicare Health insurance through Medicare Health insurance through Medicare Health insurance through Medicare 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No c) Medicare, for people 65 and older, or people with certain disabilities [] Yes [] No All persons 1 No insurance through Medicare 2 Has insurance through Medicare This variable indicates whether the person has health insurance through Medicare. Other Person Variables -- PERSON IPUMS Health insurance through VA Health insurance through VA Health insurance through VA Health insurance through VA Health insurance through VA 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No f) VA (including those who have ever used or enrolled for VA health care) [] Yes [] No All persons 1 No insurance through VA 2 Has insurance through VA This variable indicates whether the person has health insurance through VA. Other Person Variables -- PERSON IPUMS Health insurance through Indian Health Services Health insurance through Indian Health Services Health insurance through Indian Health Services Health insurance through Indian Health Services Health insurance through Indian Health Services 16. Is this person currently covered by any of the following types of health insurance or health coverage plans? Mark "Yes" or "No" for each type of coverage in items a - h. Yes No g) Indian Health Service [] Yes [] No All persons 1 No insurance through Indian Health Service 2 Has insurance through Indian Health Service This variable indicates whether the person has health insurance through Indian Health Services. Other Person Variables -- PERSON IPUMS VA service-connected disability rating VA service-connected disability rating VA service-connected disability rating VA service-connected disability rating VA service-connected disability rating 28. a) Does this person have a VA service-connected disability rating? [] Yes (such as 0%, 10%, 20%, ... , 100%) [] No SKIP to question 29a b) What is this person's service-connected disability rating? [] 0 percent [] 10 or 20 percent [] 30 or 40 percent [] 50 or 60 percent [] 70 percent or higher Persons with Veteran status or training for Reserves/National Guard NIU (not in universe) 1 No disability rating 2 0 percent disability rating 3 10 or 20 percent disability rating 4 30 or 40 percent 5 50 or 60 percent 6 70 percent or higher 9 Has disability rating, level not reported This variable indicates the disability rating (if any) of veterans who have a service-connected disability. Other Person Variables -- PERSON IPUMS Widowed in the past year Widowed in the past year Widowed in the past year Widowed in the past year Widowed in the past year 21. In the past 12 months did this person get b) Widowed? [] Yes [] No Persons ever married NIU (not in universe) 1 No 2 Yes This variable identifies persons who had been widowed within the past 12 months. Demographic Variables -- PERSON IPUMS Year married Year married Year married Year married Year married 23. In what year did this person last get married? Year: _____ Persons ever married NIU (not in universe) 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 This variable indicates the person's year of marriage. Demographic Variables -- PERSON IPUMS Data quality flag for diffeye Data quality flag for diffeye Data quality flag for diffeye Data quality flag for diffeye Data quality flag for diffeye Data quality flag for diffeye All persons Not allocated 4 Allocated This variable is a data quality flag for diffeye. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for diffhear Data quality flag for diffhear Data quality flag for diffhear Data quality flag for diffhear Data quality flag for diffhear Data quality flag for diffhear All persons Not allocated 4 Allocated This variable is a data quality flag for diffhear. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for divinyr Data quality flag for divinyr Data quality flag for divinyr Data quality flag for divinyr Data quality flag for divinyr Data quality flag for divinyr All persons Not allocated 4 Allocated This variable is a data quality flag for divinyr. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hcovany Data quality flag for hcovany Data quality flag for hcovany Data quality flag for hcovany Data quality flag for hcovany Data quality flag for hcovany All persons Not allocated This variable is a data quality flag for hcovany. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hcovpriv Data quality flag for hcovpriv Data quality flag for hcovpriv Data quality flag for hcovpriv Data quality flag for hcovpriv Data quality flag for hcovpriv All persons Not allocated This variable is a data quality flag for hcovpriv. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinsemp Data quality flag for hinsemp Data quality flag for hinsemp Data quality flag for hinsemp Data quality flag for hinsemp Data quality flag for hinsemp All persons Not allocated 4 Allocated This variable is a data quality flag for hinsemp. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinspur Data quality flag for hinspur Data quality flag for hinspur Data quality flag for hinspur Data quality flag for hinspur Data quality flag for hinspur All persons Not allocated 4 Allocated This variable is a data quality flag for hinspur. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinstri Data quality flag for hinstri Data quality flag for hinstri Data quality flag for hinstri Data quality flag for hinstri Data quality flag for hinstri All persons Not allocated 3 Coverage added through logical edit 4 Allocated This variable is a data quality flag for hinstri. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hcovpub Data quality flag for hcovpub Data quality flag for hcovpub Data quality flag for hcovpub Data quality flag for hcovpub Data quality flag for hcovpub All persons Not allocated This variable is a data quality flag for hcovpub. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinscaid Data quality flag for hinscaid Data quality flag for hinscaid Data quality flag for hinscaid Data quality flag for hinscaid Data quality flag for hinscaid All persons Not allocated 3 Coverage added through logical edit 4 Allocated This variable is a data quality flag for hinscaid. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinscare Data quality flag for hinscare Data quality flag for hinscare Data quality flag for hinscare Data quality flag for hinscare Data quality flag for hinscare All persons Not allocated 3 Coverage added through logical edit 4 Allocated This variable is a data quality flag for hinscare. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinsva Data quality flag for hinsva Data quality flag for hinsva Data quality flag for hinsva Data quality flag for hinsva Data quality flag for hinsva All persons Not allocated 4 Allocated This variable is a data quality flag for hinsva. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for hinsihs Data quality flag for hinsihs Data quality flag for hinsihs Data quality flag for hinsihs Data quality flag for hinsihs Data quality flag for hinsihs All persons Not allocated 4 Allocated This variable is a data quality flag for hinsihs. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for vetdisab Data quality flag for vetdisab Data quality flag for vetdisab Data quality flag for vetdisab Data quality flag for vetdisab Data quality flag for vetdisab All persons Not allocated 4 Only disability status allocated 5 Only disability rating allocated This variable is a data quality flag for vetdisab. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for widinyr Data quality flag for widinyr Data quality flag for widinyr Data quality flag for widinyr Data quality flag for widinyr Data quality flag for widinyr All persons Not allocated 4 Allocated This variable is a data quality flag for widinyr. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for yrlstmar Data quality flag for yrlstmar Data quality flag for yrlstmar Data quality flag for yrlstmar Data quality flag for yrlstmar Data quality flag for yrlstmar All persons Not allocated 4 Allocated This variable is a data quality flag for yrlstmar. Person Imputation Flags Variables -- PERSON IPUMS Year naturalized Year naturalized Year naturalized Year naturalized Year naturalized 8. Is this person a citizen of the United States? [] Yes, born in the United States -&gt; skip to 10a [] Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas [] Yes, born abroad of U.S. citizen parent or parents [] Yes, U.S. citizen by naturalization. Print year of naturalization: ____ [] No, not a U.S. citizen U.S. citizens by naturalization 1925 1925 1926 1926 1931 1931 1936 1936 1941 1941 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 9999 NIU (not in universe) This variable indicates the year the person became naturalized. Nativity and Birthplace Variables -- PERSON IPUMS Grade level attending Grade level attending Grade level attending Grade level attending Grade level attending b) What grade or level was this person attending? Mark (X) one box. [] Nursery school, preschool [] Kindergarten [] Grade 1 through 12 Specify grade 1-12: ____ [] College undergraduate years (freshman to senior) [] Graduate or professional school beyond a bachelor's degree (for example: MA or PhD program, or medical or law school) Persons attending school NIU (not in universe) 10 Nursery school/preschool 20 Kindergarten 31 Grade 1 32 Grade 2 33 Grade 3 34 Grade 4 41 Grade 5 42 Grade 6 43 Grade 7 44 Grade 8 51 Grade 9 52 Grade 10 53 Grade 11 54 Grade 12 60 College undergraduate 70 Graduate or professional school This variable indicates the person's grade level attending. Education Variables -- PERSON IPUMS Educational attainment Educational attainment Educational attainment Educational attainment Educational attainment 11. What is the highest degree or level of school this person has completed? Mark (X) one box. If currently enrolled, mark the previous grade or highest degree received. No schooling completed [] No schooling completed Nursery or preschool through grade 12 [] Nursery school [] Kindergarten [] Grade 1 through 11 Specify grade 1-11: ____ [] 12th grade - No diploma High school graduate [] Regular high school diploma [] GED or alternative credential College or some college [] Some college credit, but less than 1 year of college credit [] 1 or more years of college credit, no degree [] Associate's degree (for example: AA, AS) [] Bachelor's degree (for example: BA, BS) After bachelor's degree [] Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA) [] Professional degree beyond a bachelor's degree (for example: MD, DDS, DVM, LLB, JD) [] Doctorate degree (for example: PhD, EdD) Persons age 3+ NIU (not in universe) 2 No schooling completed 11 Nursery school, preschool 12 Kindergarten 14 Grade 1 15 Grade 2 16 Grade 3 17 Grade 4 22 Grade 5 23 Grade 6 25 Grade 7 26 Grade 8 30 Grade 9 40 Grade 10 50 Grade 11 61 12th grade, no diploma 63 Regular high school diploma 64 Graduate equivalency diploma (GED) or alternative credential 65 Some college, but less than 1 year 71 1 or more years of college credit, no degree 81 Associate's degree, type not specified 101 Bachelor's degree 114 Master's degree 115 Professional degree beyond a bachelor's degree 116 Doctoral degree This variable indicates the person's educational attainment. Education Variables -- PERSON IPUMS Total personal income (US$) Total personal income (US$) Total personal income (US$) Total personal income (US$) Total personal income (US$) 48. What was this person's total income during the past 12 months? Add entries in questions 47a to 47h; subtract any losses. If net income was a loss, enter the amount and mark (X) the "Loss" box next to the dollar amount. [] None or $____.00 (Total amount for past 12 months) [] Loss Persons age 15+ This variable indicates the person's total personal income (in US$). Income Variables -- PERSON IPUMS Total personal earned income (US$) Total personal earned income (US$) Total personal earned income (US$) Total personal earned income (US$) Total personal earned income (US$) 47. Income in the past 12 months. Mark (X) the "Yes" box for each type of income this person received and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.) Mark (X) the "No" box to show types of income not received. If net income was a loss, mark the "Loss" box to the right of the dollar amount. For income received jointly, report the appropriate share for each person or, if that's not possible, report the whole amount for only one person and mark the "No" box for the other person. a) Wages, salary, commissions, bonuses, or tips from all jobs. Report amount before deductions for taxes, bonds, dues, or other items [] Yes $____.00 (Total amount for past 12 months) [] No b) Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships. Report net income after business expenses [] Yes $____.00 (Total amount for past 12 months) [] No [] Loss c) Interest, dividends, net rental income, royalty income, or income from estates and trusts. Report even small amounts credited to an account [] Yes $____.00 (Total amount for past 12 months) [] No [] Loss d) Social Security or Railroad Retirement [] Yes $____.00 (Total amount for past 12 months) [] No e) Supplemental Security Income (SSI) [] Yes $____.00 (Total amount for past 12 months) [] No f) Any public assistance or welfare payments from the state or local welfare office. [] Yes $____.00 (Total amount for past 12 months) [ ] No g) Retirement, survivor, or disability pensions. Do not include Social Security. [] Yes $____.00 (Total amount for past 12 months) [] No h) Any such other sources of income received regularly such as Veterans' (VA) payments, unemployment compensation, child support or alimony. Do not include lump sum payments such as money from an inheritance or the sale of a home [] Yes $____.00 (Total amount for past 12 months) [] No All persons This variable indicates the person's total personal earned income (in US$). Income Variables -- PERSON IPUMS Travel time to work last week (minutes) Travel time to work last week (minutes) Travel time to work last week (minutes) Travel time to work last week (minutes) Travel time to work last week (minutes) 34. How many minutes did it usually take this person to get from home to work last week? Minutes: _____ Persons age 16+ at work last week outside home NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 101 101 102 102 104 104 105 105 109 109 110 110 111 111 112 112 113 113 114 114 115 115 118 118 119 119 120 120 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 133 133 139 139 140 140 141 141 142 142 143 143 144 144 145 145 147 147 148 148 149 149 150 150 151 151 152 152 156 156 157 157 158 158 162 162 164 164 165 165 187 187 This variable indicates the person's travel time to work during last week (in minutes). Work Variables -- PERSON IPUMS Year of immigration Year of immigration Year of immigration Year of immigration Year of immigration 9. When did this person come to live in the United States? Print numbers in boxes. Year: ____ Foreign-born persons and persons born in U.S. outlying areas NIU (not in universe) 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 This variable indicates the person's year of immigration to the United States. Nativity and Birthplace Variables -- PERSON IPUMS Veteran status Veteran status Veteran status Veteran status Veteran status 26. Has this person ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard? Active duty does not include training for the Reserves or National Guard, but DOES include activation, for example, for the Persian Gulf War. [] Yes, now on active duty [] Yes, on active duty during the last 12 months, but not now [] Yes, on active duty in past, but not during the last 12 months [] No, training for Reserves or National Guard only skip to question 28a [] No, never served in the military -&gt;skip to question 29a Persons age 17+ NIU (not in universe) 11 No military service 12 Military service, but currently on active duty 13 Training for Reserves or National Guard only 21 Veteran, on active duty prior to past year 22 Veteran, on active duty in past year This variable indicates whether the person has veteran status. Other Person Variables -- PERSON IPUMS Industry Industry Industry Industry Industry 43. What kind of business or industry was this? Describe the activity at the location where employed. (For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, bank) ____ Persons age 16+ working within the last five years, not new workers NIU (not in universe) 170 Crop production 180 Animal production 190 Forestry except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 490 Support activities for mining 570 Electric power generation, transmission and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction, including cleaning during and immediately after 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, not elsewhere classified 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting 1490 Textile and fabric finishing and coating mills 1570 Carpets and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber, and fibers and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesives manufacturing 2280 Soap, cleaning compound, and cosmetic manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber products, except tires, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal, except aluminum, production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops, turned product, screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining, oil, and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, not elsewhere classified 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, not elsewhere classified 3470 Household appliance manufacturing 3490 Electric lighting and electrical equipment manufacturing, and other electrical component manufacturing, not elsewhere classified 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related products manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy, and game manufacturing 3980 Miscellaneous manufacturing, not elsewhere classified 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishings, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationary stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail-order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Broadcasting, except Internet 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunication services, except wired telecommunications carriers 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services, except libraries and archives, and Internet publishing and broadcasting and web search portals 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings, except construction cleaning 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational services 7970 Offices of physicians 7980 Offices of dentists 7990 Office of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Dry cleaning and laundry services 9080 Funeral homes, cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marines 9780 U.S. Coast Guard 9790 U.S. Armed Forces, branch not specified 9870 Military reserves or National Guard This variable indicates the person's industry. Work: Industry Variables -- PERSON IPUMS Field of degree Field of degree Field of degree Field of degree Field of degree 12. This question focuses on this person's bachelor's degree. Please print below the specific major(s) of any bachelor's degrees this person has received. (For example: chemical engineering, elementary teacher education, organizational psychology): ____ Persons with a bachelor's degree or higher NIU (not in universe) 1100 General agriculture 1101 Agriculture production and management 1102 Agricultural economics 1103 Animal sciences 1104 Food science 1105 Plant science and agronomy 1106 Soil science 1199 Miscellaneous agriculture 1301 Environmental science 1302 Forestry 1303 Natural resources management 1401 Architecture 1501 Area, ethnic, and civilization studies 1901 Communications 1902 Journalism 1903 Mass media 1904 Advertising and public relations 2001 Communication technologies 2100 Computer and information systems 2101 Computer programming and data processing 2102 Computer science 2105 Information sciences 2106 Computer information management and security 2107 Computer networking and telecommunications 2201 Cosmetology services and culinary arts 2300 General education 2301 Educational administration and supervision 2303 School student counseling 2304 Elementary education 2305 Mathematics teacher education 2306 Physical and health education teaching 2307 Early childhood education 2308 Science and computer teacher education 2309 Secondary teacher education 2310 Special needs education 2311 Social science or history teacher education 2312 Teacher education: multiple levels 2313 Language and drama education 2314 Art and music education 2399 Miscellaneous education 2400 General engineering 2401 Aerospace engineering 2402 Biological engineering 2403 Architectural engineering 2404 Biomedical engineering 2405 Chemical engineering 2406 Civil engineering 2407 Computer engineering 2408 Electrical engineering 2409 Engineering mechanics, physics, and science 2410 Environmental engineering 2411 Geological and geophysical engineering 2412 Industrial and manufacturing engineering 2413 Materials engineering and materials science 2414 Mechanical engineering 2415 Metallurgical engineering 2416 Mining and mineral engineering 2417 Naval architecture and marine engineering 2418 Nuclear engineering 2419 Petroleum engineering 2499 Miscellaneous engineering 2500 Engineering technologies 2501 Engineering and industrial management 2502 Electrical engineering technology 2503 Industrial production technologies 2504 Mechanical engineering related technologies 2599 Miscellaneous engineering technologies 2601 Linguistics and comparative language and literature 2602 French, german, latin and other common foreign language studies 2603 Other foreign languages 2901 Family and consumer sciences 3201 Court reporting 3202 Pre-law and legal studies 3301 English language and literature 3302 Composition and speech 3401 Liberal arts 3402 Humanities 3501 Library science 3600 Biology 3601 Biochemical sciences 3602 Botany 3603 Molecular biology 3604 Ecology 3605 Genetics 3606 Microbiology 3607 Pharmacology 3608 Physiology 3609 Zoology 3611 Neuroscience 3699 Miscellaneous biology 3700 Mathematics 3701 Applied mathematics 3702 Statistics and decision science 3801 Military technologies 4000 Interdisciplinary and multi-disciplinary studies (general) 4001 Intercultural and international studies 4002 Nutrition sciences 4005 Mathematics and computer science 4006 Cognitive science and biopsychology 4007 Interdisciplinary social sciences 4101 Physical fitness, parks, recreation, and leisure 4801 Philosophy and religious studies 4901 Theology and religious vocations 5000 Physical sciences 5001 Astronomy and astrophysics 5002 Atmospheric sciences and meteorology 5003 Chemistry 5004 Geology and earth science 5005 Geosciences 5006 Oceanography 5007 Physics 5008 Materials science 5098 Multi-disciplinary or general science 5102 Nuclear, industrial radiology, and biological technologies 5200 Psychology 5201 Educational psychology 5202 Clinical psychology 5203 Counseling psychology 5205 Industrial and organizational psychology 5206 Social psychology 5299 Miscellaneous psychology 5301 Criminal justice and fire protection 5401 Public administration 5402 Public policy 5403 Human services and community organization 5404 Social work 5500 General social sciences 5501 Economics 5502 Anthropology and archeology 5503 Criminology 5504 Geography 5505 International relations 5506 Political science and government 5507 Sociology 5599 Miscellaneous social sciences 5601 Construction services 5701 Electrical and mechanic repairs and technologies 5901 Transportation sciences and technologies 6000 Fine arts 6001 Drama and theater arts 6002 Music 6003 Visual and performing arts 6004 Commercial art and graphic design 6005 Film, video and photographic arts 6006 Art history and criticism 6007 Studio arts 6099 Miscellaneous fine arts 6100 General medical and health services 6102 Communication disorders sciences and services 6103 Health and medical administrative services 6104 Medical assisting services 6105 Medical technologies technicians 6106 Health and medical preparatory programs 6107 Nursing 6108 Pharmacy, pharmaceutical sciences, and administration 6109 Treatment therapy professions 6110 Community and public health 6199 Miscellaneous health medical professions 6200 General business 6201 Accounting 6202 Actuarial science 6203 Business management and administration 6204 Operations, logistics and e-commerce 6205 Business economics 6206 Marketing and marketing research 6207 Finance 6209 Human resources and personnel management 6210 International business 6211 Hospitality management 6212 Management information systems and statistics 6299 Miscellaneous business and medical administration 6402 History 6403 United states history This variable indicates the person's field of degree. Education Variables -- PERSON IPUMS Field of degree (second) Field of degree (second) Field of degree (second) Field of degree (second) Field of degree (second) 12. This question focuses on this person's bachelor's degree. Please print below the specific major(s) of any bachelor's degrees this person has received. (For example: chemical engineering, elementary teacher education, organizational psychology): ____ Persons with a bachelor's degree or more NIU (not in universe) 1100 General agriculture 1101 Agriculture production and management 1102 Agricultural economics 1103 Animal sciences 1104 Food science 1105 Plant science and agronomy 1106 Soil science 1199 Miscellaneous agriculture 1301 Environmental science 1302 Forestry 1303 Natural resources management 1401 Architecture 1501 Area, ethnic, and civilization studies 1901 Communications 1902 Journalism 1903 Mass media 1904 Advertising and public relations 2001 Communication technologies 2100 Computer and information systems 2101 Computer programming and data processing 2102 Computer science 2105 Information sciences 2106 Computer information management and security 2107 Computer networking and telecommunications 2201 Cosmetology services and culinary arts 2300 General education 2301 Educational administration and supervision 2303 School student counseling 2304 Elementary education 2305 Mathematics teacher education 2306 Physical and health education teaching 2307 Early childhood education 2308 Science and computer teacher education 2309 Secondary teacher education 2310 Special needs education 2311 Social science or history teacher education 2312 Teacher education: multiple levels 2313 Language and drama education 2314 Art and music education 2399 Miscellaneous education 2400 General engineering 2401 Aerospace engineering 2402 Biological engineering 2403 Architectural engineering 2404 Biomedical engineering 2405 Chemical engineering 2406 Civil engineering 2407 Computer engineering 2408 Electrical engineering 2409 Engineering mechanics, physics, and science 2410 Environmental engineering 2411 Geological and geophysical engineering 2412 Industrial and manufacturing engineering 2413 Materials engineering and materials science 2414 Mechanical engineering 2415 Metallurgical engineering 2416 Mining and mineral engineering 2417 Naval architecture and marine engineering 2418 Nuclear engineering 2419 Petroleum engineering 2499 Miscellaneous engineering 2500 Engineering technologies 2501 Engineering and industrial management 2502 Electrical engineering technology 2503 Industrial production technologies 2504 Mechanical engineering related technologies 2599 Miscellaneous engineering technologies 2600 Linguistics and foreign languages 2601 Linguistics and comparative language and literature 2602 French, german, latin and other common foreign language studies 2603 Other foreign languages 2901 Family and consumer sciences 3201 Court reporting 3202 Pre-law and legal studies 3301 English language and literature 3302 Composition and speech 3401 Liberal arts 3402 Humanities 3501 Library science 3600 Biology 3601 Biochemical sciences 3602 Botany 3603 Molecular biology 3604 Ecology 3605 Genetics 3606 Microbiology 3607 Pharmacology 3608 Physiology 3609 Zoology 3611 Neuroscience 3699 Miscellaneous biology 3700 Mathematics 3701 Applied mathematics 3702 Statistics and decision science 3801 Military technologies 4000 Interdisciplinary and multi-disciplinary studies (general) 4001 Intercultural and international studies 4002 Nutrition sciences 4005 Mathematics and computer science 4006 Cognitive science and biopsychology 4007 Interdisciplinary social sciences 4008 Multi-disciplinary or general science 4101 Physical fitness, parks, recreation, and leisure 4801 Philosophy and religious studies 4901 Theology and religious vocations 5000 Physical sciences 5001 Astronomy and astrophysics 5002 Atmospheric sciences and meteorology 5003 Chemistry 5004 Geology and earth science 5005 Geosciences 5006 Oceanography 5007 Physics 5008 Materials science 5098 Multi-disciplinary or general science 5102 Nuclear, industrial radiology, and biological technologies 5200 Psychology 5201 Educational psychology 5202 Clinical psychology 5203 Counseling psychology 5205 Industrial and organizational psychology 5206 Social psychology 5299 Miscellaneous psychology 5301 Criminal justice and fire protection 5401 Public administration 5402 Public policy 5403 Human services and community organization 5404 Social work 5500 General social sciences 5501 Economics 5502 Anthropology and archeology 5503 Criminology 5504 Geography 5505 International relations 5506 Political science and government 5507 Sociology 5599 Miscellaneous social sciences 5601 Construction services 5701 Electrical and mechanic repairs and technologies 5901 Transportation sciences and technologies 6000 Fine arts 6001 Drama and theater arts 6002 Music 6003 Visual and performing arts 6004 Commercial art and graphic design 6005 Film, video and photographic arts 6006 Art history and criticism 6007 Studio arts 6099 Miscellaneous fine arts 6100 General medical and health services 6102 Communication disorders sciences and services 6103 Health and medical administrative services 6104 Medical assisting services 6105 Medical technologies technicians 6106 Health and medical preparatory programs 6107 Nursing 6108 Pharmacy, pharmaceutical sciences, and administration 6109 Treatment therapy professions 6110 Community and public health 6199 Miscellaneous health medical professions 6200 General business 6201 Accounting 6202 Actuarial science 6203 Business management and administration 6204 Operations, logistics and e-commerce 6205 Business economics 6206 Marketing and marketing research 6207 Finance 6209 Human resources and personnel management 6210 International business 6211 Hospitality management 6212 Management information systems and statistics 6299 Miscellaneous business and medical administration 6402 History 6403 United states history 9000 No second degree reported This variable indicates the person's second field of degree. Education Variables -- PERSON IPUMS Data quality flag for degfield and degfield2 Data quality flag for degfield and degfield2 Data quality flag for degfield and degfield2 Data quality flag for degfield and degfield2 Data quality flag for degfield and degfield2 Data quality flag for degfield and degfield2 All persons Not allocated 4 Allocated This variable is a data quality flag for degfield and degfield2. Person Imputation Flags Variables -- PERSON IPUMS Data quality flag for wrklstwk Data quality flag for wrklstwk Data quality flag for wrklstwk Data quality flag for wrklstwk Data quality flag for wrklstwk Data quality flag for wrklstwk All persons Not allocated 4 Allocated This variable is a data quality flag for wrklstwk. Person Imputation Flags Variables -- PERSON IPUMS Subfamily number (original Census Bureau classification) Subfamily number (original Census Bureau classification) Subfamily number (original Census Bureau classification) Subfamily number (original Census Bureau classification) Subfamily number (original Census Bureau classification) Subfamily number (original Census Bureau classification) All persons Group quarters or not in subfamily 1 1st subfamily in household 2 2nd subfamily in household 3 3rd 4 4th This variable indicates the subfamily number (original Census Bureau classification). Constructed Family Interrelationship Variables -- PERSON IPUMS Subfamily type (original Census Bureau classification) Subfamily type (original Census Bureau classification) Subfamily type (original Census Bureau classification) Subfamily type (original Census Bureau classification) Subfamily type (original Census Bureau classification) Subfamily type (original Census Bureau classification) All persons Group quarters or not in subfamily 1 Married-couple related subfamily with children 2 Married-couple related subfamily without children 3 Father-child related subfamily 4 Mother-child related subfamily This variable indicates the subfamily type (original Census Bureau classification). Constructed Family Interrelationship Variables -- PERSON IPUMS Subfamily relationship (original Census Bureau classification) Subfamily relationship (original Census Bureau classification) Subfamily relationship (original Census Bureau classification) Subfamily relationship (original Census Bureau classification) Subfamily relationship (original Census Bureau classification) Subfamily relationship (original Census Bureau classification) All persons Group quarters or not in subfamily 1 Reference person 2 Spouse (married-couple subfamily only) 3 Child This variable indicates the subfamily relationship (original Census Bureau classification). Constructed Family Interrelationship Variables -- PERSON IPUMS Person weight Person weight Person weight Person weight Person weight Person weight All persons This variable indicates the person weight. Technical Person Variables -- PERSON IPUMS Year of birth Year of birth Year of birth Year of birth Year of birth 4. What is this person's age and date of birth? Please report babies as age 0 when the child is less than 1 year old. Age (in years) : ____ Month: _____ Day: ____ Year of birth: _______ All persons 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 This variable indicates the person's year of birth. Demographic Variables -- PERSON IPUMS Poverty status (original Census Bureau calculation) Poverty status (original Census Bureau calculation) Poverty status (original Census Bureau calculation) Poverty status (original Census Bureau calculation) Poverty status (original Census Bureau calculation) Poverty status (original Census Bureau calculation) Persons in private households This variable indicates the person's poverty status (original Census Bureau calculation). Income Variables -- PERSON IPUMS Occupation Occupation Occupation Occupation Occupation 45. What kind of work was this person doing? (For example: registered nurse, personal manager, supervisor of order department, secretary, and accountant) ____ 46. What were this person's most important activities or duties? (For example: patient care, directing hiring policies, supervising order clerks, typing and filing, reconciling financial records) ____ Persons age 16+ working within the previous five years, not new workers NIU (not in universe) 10 Chief executives and legislators 20 General and operations managers 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Constructions managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural science managers 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Miscellaneous managers, including funeral service managers and postmasters and mail superintendents 500 Agents and business managers of artists, performers, and athletes 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resource workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1220 Operations research analysts 1240 Miscellaneous mathematical science occupations, including mathematicians and statisticians 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1340 Biomedical and agricultural engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1520 Petroleum, mining and geological engineers, including mining safety engineers 1530 Miscellaneous engineeers including nuclear engineers 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists, and life scientsits, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1820 Psychologists 1840 Urban and regional planners 1860 Miscellaneous social scientists, including survey researchers and sociologists 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians, and nuclear technicians 1965 Miscellaneous life, physical, and social science technicians, including social science research asistants 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, including health educators and community health workers 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers, and judges, magistrates, and other judicial workers 2105 Judicial law clerks 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio operators, and media and communication equipment workers, all other 2910 Photographers 2920 Television, video, and motion picture camera operators and editors 3000 Chiropractors 3010 Dentists 3030 Dieticians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speechlanguage pathologists 3245 Other therapists, including exercise physiologists 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3258 Nurse practitioners, and nurse midwives 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotmists 3655 Healthcare support workers, all other, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 Supervisors, protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3840 Miscellaneous law enforcement workers 3850 Police officers 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendant, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Miscellaneous food preparation and serving related workers including dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Host and hostesses, restaurant, lounge, and coffee shop 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New account clerks 5350 Correspondent clerks and order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Miscellaneous office and administrative support workers including desktop publishers 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers including animal breeders 6100 Fishing and hunting workers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6320 Construction equipment operators except paving, surfacing, and tamping equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6765 Miscellaneous construction workers including solar photovaltaic installers, and septic tank servicers and sewer pipe cleaners 6800 Derrick, rotary drill, and service unit operators, and roustabouts, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6940 Miscellaneous extraction workers including roof bolters and helpers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7100 Electrical and electronics repairers, transportation equipment, and industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7510 Coin, vending, and amusement machine servicers and repairers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7610 Helpers--installation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers including wind turbine service technicians, and commercial divers, and signal and track wwitch repairers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Miscellaneous metal workers and plastic workers including milling and planing machine setters, and multiple machine tool setters, and lay-out workers 8250 Prepress technicians and workers 8255 Printing machine operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8400 Textile bleaching and dyeing, and cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8450 Upholsterers 8460 Miscellaneous textile, apparel, and furnishings workers except upholsterers 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Miscellaneous woodworkers including model makers and patternmakers 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, operators, and tenders 8730 Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers--production workers 8965 Other production workers including semiconductor processors and cooling and freezing equipment operators 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers, and ship engineers 9310 Ship and boat captains and operators 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Miscellaneous transportation workers including bridge and lock tenders and traffic technicians 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Conveyor operators and tenders, and hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9750 Miscellaneous material moving workers including shuttle car operators, and tank car, truck, and ship loaders 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified This variable indicates the person's occupation. Work: Occupation Variables -- PERSON IPUMS Flag for diffcare Flag for diffcare Flag for diffcare Flag for diffcare Flag for diffcare Flag for diffcare All persons Not allocated 4 Allocated This variable is a flag for diffcare. Person Imputation Flags Variables -- PERSON IPUMS Federal poverty guidelines (base) Federal poverty guidelines (base) Federal poverty guidelines (base) Federal poverty guidelines (base) Federal poverty guidelines (base) Federal poverty guidelines (base) All persons 10830 10830 12460 12460 13530 13530 This variable indicates the Federal poverty guidelines (base). Other Person Variables -- PERSON IPUMS Federal poverty guidelines (increment) Federal poverty guidelines (increment) Federal poverty guidelines (increment) Federal poverty guidelines (increment) Federal poverty guidelines (increment) Federal poverty guidelines (increment) All persons 3740 3740 4300 4300 4680 4680 This variable indicates the Federal poverty guidelines (increment). Other Person Variables -- PERSON IPUMS Health insurance unit (hiu) pointer rule Health insurance unit (hiu) pointer rule Health insurance unit (hiu) pointer rule Health insurance unit (hiu) pointer rule Health insurance unit (hiu) pointer rule Health insurance unit (hiu) pointer rule All persons 1 Point HIU reference person to self 2 Point married female, with spouse present, to spouse 3 Point eligible child to father, if present 4 Point eligible child to mother, if present and father absent 5 Point single adults to self 6 Point related singleton children to first HIU reference person in household 7 Point unrelated singleton children to self This variable is an indicator of the assignment rule used to assign each individual to a "health insurance unit" (HIU). Other Person Variables -- PERSON IPUMS Health insurance unit (hiu) identification Health insurance unit (hiu) identification Health insurance unit (hiu) identification Health insurance unit (hiu) identification Health insurance unit (hiu) identification Health insurance unit (hiu) identification All persons This variable identifies families as "health insurance units" (HIU). Other Person Variables -- PERSON IPUMS Health insurance unit (hiu) number of persons Health insurance unit (hiu) number of persons Health insurance unit (hiu) number of persons Health insurance unit (hiu) number of persons Health insurance unit (hiu) number of persons Health insurance unit (hiu) number of persons All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 This variable indicates the number of people within each "health insurance unit" (HIU). Other Person Variables -- PERSON IPUMS Person weight Person weight Person weight Person weight Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. Technical Person Variables -- PERSON IPUMS Disability status Disability status Disability status Disability status Disability status NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown DISABLED indicates whether the person reported a disability of any kind. Disability Variables -- PERSON IPUMS Years residing in current dwelling Years residing in current dwelling Years residing in current dwelling Years residing in current dwelling Years residing in current dwelling 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 or more 98 Unknown 99 NIU (not in universe) MIGYRS2 indicates the number of years that the respondent has lived in his/her current dwelling. Migration Variables -- PERSON IPUMS Country of residence 1 year ago Country of residence 1 year ago Country of residence 1 year ago Country of residence 1 year ago Country of residence 1 year ago NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15199 Western African, n.s. 19990 Africa, n.s. 19991 Central and South Africa 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. Jon 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and South America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North America, n.s. 29990 Americas, other and n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33199 Other South-Eastern Asia 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42999 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49990 Europe, n.s. 49991 Central-Eastern Europe 49992 European Union 15 countries 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 90000 Non-migrant (international) 99998 Response suppressed 99999 Unknown MIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior are coded to the "non-migrant" category. Migration Variables -- PERSON IPUMS Migration status, 1 year Migration status, 1 year Migration status, 1 year Migration status, 1 year Migration status, 1 year NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions. Migration Variables -- PERSON IPUMS Years of schooling Years of schooling Years of schooling Years of schooling Years of schooling None or pre-school 1 1 year 2 2 years 3 3 years 4 4 years 5 5 years 6 6 years 7 7 years 8 8 years 9 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 97 Response suppressed 98 Unknown/missing 99 NIU (not in universe) YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. Education Variables -- PERSON IPUMS Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. Education Variables -- PERSON IPUMS Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. Education Variables -- PERSON IPUMS Hours worked per week Hours worked per week Hours worked per week Hours worked per week Hours worked per week 0 hours 1 1 hour 2 2 hours 3 3 hours 4 4 hours 5 5 hours 6 6 hours 7 7 hours 8 8 hours 9 9 hours 10 10 hours 11 11 hours 12 12 hours 13 13 hours 14 14 hours 15 15 hours 16 16 hours 17 17 hours 18 18 hours 19 19 hours 20 20 hours 21 21 hours 22 22 hours 23 23 hours 24 24 hours 25 25 hours 26 26 hours 27 27 hours 28 28 hours 29 29 hours 30 30 hours 31 31 hours 32 32 hours 33 33 hours 34 34 hours 35 35 hours 36 36 hours 37 37 hours 38 38 hours 39 39 hours 40 40 hours 41 41 hours 42 42 hours 43 43 hours 44 44 hours 45 45 hours 46 46 hours 47 47 hours 48 48 hours 49 49 hours 50 50 hours 51 51 hours 52 52 hours 53 53 hours 54 54 hours 55 55 hours 56 56 hours 57 57 hours 58 58 hours 59 59 hours 60 60 hours 61 61 hours 62 62 hours 63 63 hours 64 64 hours 65 65 hours 66 66 hours 67 67 hours 68 68 hours 69 69 hours 70 70 hours 71 71 hours 72 72 hours 73 73 hours 74 74 hours 75 75 hours 76 76 hours 77 77 hours 78 78 hours 79 79 hours 80 80 hours 81 81 hours 82 82 hours 83 83 hours 84 84 hours 85 85 hours 86 86 hours 87 87 hours 88 88 hours 89 89 hours 90 90 hours 91 91 hours 92 92 hours 93 93 hours 94 94 hours 95 95 hours 96 96 hours 97 97 hours 98 98 hours 99 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) HRSWORK1 indicates the number of hours the respondent worked per week at all jobs. Work Variables -- PERSON IPUMS Hours worked per week, categorized Hours worked per week, categorized Hours worked per week, categorized Hours worked per week, categorized Hours worked per week, categorized None 1 1 to 14 hours 2 15 to 29 hours (except ve1971) 3 30 to 39 hours (except ve1971 and de1970) 4 40-48 hours (except il1972 and de1970) 5 49 hours or more 8 Unknown 9 NIU (not in universe) HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. Work Variables -- PERSON IPUMS Speaks English Speaks English Speaks English Speaks English Speaks English 1 Yes 2 No 8 Unknown 9 NIU (not in universe) SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy. Ethnicity and Language Variables -- PERSON IPUMS Country of birth Country of birth Country of birth Country of birth Country of birth NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11990 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12990 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14990 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15990 West Africa, n.s. 19990 Africa, other and n.s. 19991 Central and South Africa 19992 East and Central Africa 19993 Southeastern Africa 19994 Saharan Africa 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21990 Other Caribbean and n.s. 21991 Caribbean commonwealth, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22990 Central America, n.s. 22991 Central America and Caribbean 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, other and n.s. 23991 South America or Central America, n.s. 23992 Central/South America and Caribbean 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24990 North America, other and n.s. 24991 North America/Oceania 29990 Americas, other and n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31990 Eastern Asia, n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33990 South-Eastern Asia, n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestinian Territories 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 Middle East 39990 Asia, other and n.s. 39991 Central Asia and Middle East, n.s. 39992 Far East, n.s. 39993 Eastern/Southeast Asia, n.s. 39994 Asia/Middle East, other and n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41990 Eastern Europe, other and n.s. 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42990 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43144 Kosovo 43990 Southern Europe, n.s. 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 Germany/Austria 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44990 Western Europe, n.s. 44991 Belgium, Denmark, Luxembourg, Netherlands 49991 Turkey and U.S.S.R. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49995 EEA, Switzerland, associated microstates 49999 Europe, other and n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53990 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54990 Polynesia, n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55990 Other US Pacific 59990 Oceania, n.s. 60000 OTHER ABROAD 60100 U.S. Outlying Areas and Territories 60200 Africa/Other 60300 Central/South America or Africa 60400 Asia/Africa 60500 Europe, Australia, New Zealand 60600 Other commonwealth 60700 Asia, Australia, Oceania, n.s. 69900 Other countries, not specified 99999 Unknown BPLCOUNTRY indicates the person's country of birth. Nativity and Birthplace Variables -- PERSON IPUMS Number of births last year Number of births last year Number of births last year Number of births last year Number of births last year None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. Fertility and Mortality Variables -- PERSON IPUMS Nativity status Nativity status Nativity status Nativity status Nativity status NIU (not universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVITY indicates whether the person was native- or foreign-born. Nativity and Birthplace Variables -- PERSON IPUMS Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals 1 0 to 4 2 5 to 9 3 10 to 14 4 15 to 19 5 15 to 17 6 18 to 19 7 18 to 24 8 20 to 24 9 25 to 29 10 30 to 34 11 35 to 39 12 40 to 44 13 45 to 49 14 50 to 54 15 55 to 59 16 60 to 64 17 65 to 69 18 70 to 74 19 75 to 79 20 80+ 98 Unknown AGE2 gives computed years of age grouped into intervals. Demographic Variables -- PERSON IPUMS Year [person version] Year [person version] Year [person version] Year [person version] Year [person version] [This file is just a placeholder. See the household version of the variable.] Technical Person Variables -- PERSON IPUMS IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] [This file is just a placeholder. See the household version of the variable.] Technical Person Variables -- PERSON IPUMS Household serial number [person version] Household serial number [person version] Household serial number [person version] Household serial number [person version] Household serial number [person version] [This file is just a placeholder. See the household version of the variable.] Technical Person Variables -- PERSON IPUMS Country [person version] Country [person version] Country [person version] Country [person version] Country [person version] [This file is just a placeholder. See the household version of the variable.] Technical Person Variables -- PERSON IPUMS Record type [person version] Record type [person version] Record type [person version] Record type [person version] Record type [person version] [This file is just a placeholder. See the household version of the variable.] Technical Person Variables -- PERSON IPUMS