DDI_DEU_1970_PHC_v01_M_v7.5_A_IPUMS The 1970 Census of the Federal Republic Germany IPUMS May 20, 2024 MetadataEditor Version 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. The 1970 Census of the Federal Republic Germany - IPUMS Subset PHC Germany 1970 (West) (IPUMS Harmonized Subset) DEU_1970_PHC_v01_M_v7.5_A_IPUMS Federal Statistical Office (Statistisches Bundesamt) IPUMS (c) Copyright 1970, Federal Statistical Office (Statistisches Bundesamt) and Minnesota Population Center MetadataEditor Federal Statistical Office (Statistisches Bundesamt) Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Income Variables -- PERSON Technical Person Variables -- PERSON Utilities Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Other Person Variables -- PERSON Migration: Global Variables -- PERSON Migration: Global Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Education Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Other Person Variables -- PERSON Germany State Persons West Germany; persons not organized into households UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: no - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A dwelling, in terms of a survey unit, is defined as a self-contained set of rooms intended for living purposes which enable persons to keep their own household. - Households: A household consists of all persons who live in the same dwelling and have a common housekeeping budget. Also. persons living and keeping house alone as well as lodgers are counted as households. - Group quarters: Persons in institutions, homes or the like are covered if they live there, are registered at that address with the police or relevant authorities and, fully or partly, make use of communal catering arrangements or of any joint facilities. Total population entitled to reside in households Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Germany 1970 (West) Note: West Germany; persons not organized into households MICRODATA SOURCE: Federal Statistical Office (Statistisches Bundesamt) SAMPLE SIZE (person records): 3094845. SAMPLE DESIGN: A randomized 50% sub-sample was drawn from the 10% sample of the factually anonymous Scientific-Use-File (SUF) by using the ending numbers method. This yields the Public Use File, which is 5% sample of the total 1970 FRG population. Face-to-face [f2f] 2 questionnaires: (f1) population census questionnaire: 90% of the population received a questionnaire comprising 18 questions, the remaining 10% received a questionnaire containing 39 questions; (f2) local unit questionnaire de jure, CENSUS DAY: May 27, 1970 Self-weighting (expansion factor=20) 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. Federal Statistical Office (Statistisches Bundesamt) Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5 Researchers should also acknowledge the statistical agency that originally produced the data: Germany, Federal Statistical Office (Statistisches Bundesamt). The 1970 Census of the Federal Republic Germany 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. DEU1970_PHC-H-H Household records 0 18 DEU1970_PHC-P-H Person records 3094845 112 Record type H Household P Person 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. IPUMS Country 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Ivory Coast 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe 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). IPUMS Year 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 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 1978 1978 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 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. IPUMS IPUMS sample identifier 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 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 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 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 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 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 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 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 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 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 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 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 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Ivory Coast 1988 384199801 Ivory Coast 1998 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 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 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 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 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 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 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 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 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). IPUMS 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, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In 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. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. IPUMS 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. PERSONS is a 4-digit numeric variable. IPUMS 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. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Subsample number 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 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. IPUMS Group quarters (collective dwelling) status 00 Vacant 10 Households 20 Group quarters (collective), 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. IPUMS 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. IPUMS 1st subnational geographic level, world [consistent boundaries over time] 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. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS Nomenclature of Territorial Units for Statistics 1, Europe 0101 AT1 / Ostösterreich 0102 AT2 / Südösterreich 0103 AT3 / Westösterreich 0601 DE1 / Baden-Württemberg 0602 DE2 / Bayern 0603 DE3 / Berlin 0604 DE4 / Brandenburg 0605 DE5 / Bremen 0606 DE6 / Hamburg 0607 DE7 / Hessen 0608 DE8 / Mecklenburg-Vorpommern 0609 DE9 / Niedersachsen 0610 DEA / Nordrhein-Westfalen 0611 DEB / Rheinland-Pfalz 0612 DEC / Saarland 0613 DED / Sachsen 0614 DEE / Sachsen-Anhalt 0615 DEF / Schleswig-Holstein 0616 DEG / Thüringen 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0909 ES / Unknown 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1109 FR9 / Département d’Outre-Mer 1199 FR99 / Unknown 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1400 IE0 / Republic of Ireland 1503 ITC / Nord-Ovest 1506 ITF / Sud 1507 ITG / Isole 1508 ITH / Nord-Est 1509 ITI / Centro 2101 PL1 / Centralny 2102 PL2 / Południowy 2103 PL3 / Wschodni 2104 PL4 / Północno-zachodni 2105 PL5 / Południowo-zachodni 2106 PL6 / Północny 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea Unu 2302 RO2 / Macroregiunea Doi 2303 RO3 / Macroregiunea Trei 2304 RO4 / Macroregiunea Patru 2501 SI0 / Slovenia 2600 SK0 / Slovensko 2701 UKC / North East (England) 2702 UKD / North West (England) 2703 UKE / Yorkshire and the Humber (England) 2704 UKF / East Midlands (England) 2705 UKG / West Midlands (England) 2706 UKH / East of England (England) 2707 UKI / LONDON (England) 2708 UKJ / South East (England) 2709 UKK / South West (England) 2710 UKL / WALES 2711 UKM / SCOTLAND 2712 UKN / NORTHERN IRELAND 3400 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9999 UNKNOWN ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification. The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries 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. IPUMS Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to 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. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to 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. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Germany, State 1970 - 1987 [Level 1; consistent boundaries, GIS] 276001 Schleswig-Holstein 276002 Hamburg 276003 Niedersachsen 276004 Bremen 276005 Nordrhein-Westfalen 276006 Hessen 276007 Rheinland-Pfalz 276008 Baden-Württemberg 276009 Bayern 276010 Saarland 276011 West Berlin 276012 Brandenburg 276013 Mecklenburg-West Pomerania 276014 Saxony 276015 Saxony-Anhalt 276016 Thuringia 276017 East Berlin GEO1_DE identifies the household's state within Germany in all sample years. States are the first level administrative units of the country. GEO1_DE is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_DE can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Germany 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. IPUMS Germany, State 1970 [Level 1, GIS] 001 Schleswig-Holstein 002 Hamburg 003 Lower Saxony 004 Bremen 005 North Rhine-Westphalia 006 Hesse 007 Rhineland-Palatinate 008 Baden-Württemberg 009 Bayern 010 Saarland 011 Berlin (West) 097 East Germany GEO1_DE1970 identifies the household’s state within Germany in 1970. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_DE1970 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Germany can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Telephone availability NIU (not in universe) 1 No 2 Yes 9 Unknown/missing PHONE indicates the availability of a telephone in the dwelling. IPUMS Dwelling number Germany 1970: All households This variable records the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Serial number of household <svar a="all" v="DE70A016 DE70A017 DE70A018">____ Community <br />____ District <br />____ Street / house no.<br />_ _ _ _ Enumeration district<br /></svar> Germany 1970: All households This variable records the household serial number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Size of municipality of residence <svar a="all" v="DE70A016 DE70A017 DE70A018">____ Community <br />____ District <br />____ Street / house no.<br />_ _ _ _ Enumeration district<br /></svar> Germany 1970: All households 01 Under 200 inhabitants 02 200 to under 500 inhabitants 03 500 to under 1,000 inhabitants 04 1,000 to under 2,000 inhabitants 05 2,000 to under 5,000 inhabitants 06 5,000 to under 10,000 inhabitants 07 10,000 to under 20,000 inhabitants 08 20,000 to under 50,000 inhabitants 09 50,000 to under 100,000 inhabitants 10 100,000 to under 200,000 inhabitants 11 200,000 to under 500,000 inhabitants 12 500,000 and more inhabitants 13 Under 500 inhabitants: Schleswig-Holstein, Nordrhein-Westfalen and Baden-Württemberg 14 Under 1,000 inhabitants: Saarland 15 Under 5,000 inhabitants: Hamburg This variable indicates size of the municipality of residence in which the household is located. IPUMS Institution Germany 1970: All households 1 Not a household in an institution 2 Institution-household This variable indicates whether the household is, or is part of, an institution residence. IPUMS Type of institution Germany 1970: All households 00 No specification / Institutionalized population in Baden-Württemberg 11 Residential home of teaching institute for non-handicapped persons 12 Residential home of teaching institute for handicapped minors 13 Residential home of teaching institute for handicapped adults 16 Hall of residence of teaching institute / hall of residence for minors with behavioral problems (not youth hostel / not youth boarding house) 21 Infant nursing home for newborns and up to 3 years 22 Residential creche-institution for children from 3 to under 14 years 23 Children's village 31 Institution for handicapped-integration, minors 32 Institution for handicapped-integration, adults 33 Nursing home for the handicapped (not senior nursing home) 36 Residential home for the handicapped 41 Hospital / sanatorium for tuberculosis patients 42 Psychiatric hospital / sanatorium 43 Hospital/ sanatorium for the addicted and persons at-risk 44 Hospital for the chronically ill and geriatrics 49 Other hospitals / sanatorium (also maternity wards) 51 Sanatorium / holiday camp for minors 53 Sanatorium for mothers 54 Family vacation hostel, holiday camp, holiday community, senior citizens sanatorium 59 Other sanatoriums and holiday camps for adults 61 Sanatoriums for mothers and children 62 Boardinghouses for youths and apprentices 63 Boarding house / boarding school for compulsory school students (not 11, 12, 13, 16, 51, 64) 64 Dormitory for students 65 Boarding house for professional workers / single persons 66 Company owned living facilities for employees or dormitory; boat / ship 67 Senior residence community 68 Senior residence facility 69 Senior nursing home 72 Transit camp / transitional living quarters 73 Homeless asylum 79 Other institutionalized residence 81 Other accommodation, institutionalized housing, if staff 11 and more in use by employer 91 Religious institution (e.g. monastery, convent) 92 Armed forces quarters or police and public safety quarters 93 Prisons and convict custodial institutions/ institutions This variable indicates the type of institutional residence for the household. IPUMS Number of persons in the household Germany 1970: Households outside West Berlin [discrepancies: none] 00 No specification, institution-inmates 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 This variable indicates the number of people enumerated in the household. IPUMS 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. PERNUM is a 4-digit numeric variable. IPUMS 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. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS 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). IPUMS Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 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's 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). IPUMS Relationship to head, Europe 10 Reference person / Head 20 Spouse or partner 21 Husband or wife 22 Partner in consensual union 30 Child/child-in-law of head or of spouse/partner 31 Spouse or partner of child of head 40 Parent of head, of spouse, or of partner 50 Other relative of head, spouse, or partner 60 Non-relative of head 61 Foster child 62 Boarder 63 Domestic servant 64 Other 99 Not stated / unknown ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person. ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. IPUMS Age 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 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. IPUMS Age, grouped into intervals 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS 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 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. IPUMS Marital status [detailed version] 000 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 219 Married, spouse absent (historical samples) 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 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 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. IPUMS Marital status, Europe NIU (not in universe) 1 Never married 2 Married 3 Widowed and not remarried 4 Divorced/separated and not remarried 5 Widowed or divorced 9 Unknown / missing EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions. EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. IPUMS Duration of current marriage or union 00 Less than 1 year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 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+ 98 Unknown 99 NIU (not in universe) DURMARR reports the duration of the respondent's current marriage or union, or, in some cases, the total years spent within marriage. IPUMS Year of birth 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 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 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown BIRTHYR gives the person's year of birth. IPUMS Children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 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) CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. IPUMS 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. IPUMS Country of citizenship 00000 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, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or 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 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 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 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or 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, other or 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 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or 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 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or 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 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or 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 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 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 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or 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 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or 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 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or 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 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown NATION indicates the person's country of citizenship. IPUMS Religion [general version] NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown RELIGION indicates the person's religion, including "none." IPUMS Religion [detailed version] 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown RELIGION indicates the person's religion, including "none." IPUMS 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. IPUMS 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. IPUMS Educational attainment, international recode [detailed version] 000 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. IPUMS Educational attainment, Germany 00 NIU (not in universe) 10 Some elementary education (grade 8 or less) 20 Completed primary 21 Completed grade 10 30 Secondary with access to university 31 Part-time vocational 32 Full-time vocational 33 Technical school 34 Semi-skilled worker certificate 35 Skilled worker certificate 36 Master craftsman certificate 40 Engineering or technical college 50 University 99 Unknown EDUCDE indicates the person's educational attainment in Germany in terms of the level of schooling completed. IPUMS Educational attainment, Europe 00 NIU (not in universe) 10 Less than primary 20 Primary (first stage of basic education) 30 Lower secondary (second stage of basic education) 40 Upper secondary 50 Post-secondary non-tertiary education 60 University completed 99 Unknown/missing EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. 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. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities. EEDATTAIN 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. EEDATTAIN 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 EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country. Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL. EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples. IPUMS 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". IPUMS Activity status (employment status) [detailed version] 000 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 or health reasons 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". IPUMS Activity status (employment status), Europe 000 NIU (not in universe) 110 Employed 120 Unemployed 121 Unemployed, never worked before 200 Not economically active, unspecified 210 Students 220 Pension or capital income recipients 230 Homemakers 240 Others 999 Unknown / missing EEMPSTAT indicates for the European samples 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, EEMPSTAT can also convey further information. EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices. The economically active population constitutes the total labor force: employed and unemployed persons. IPUMS Labor force participation 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. IPUMS Occupation, ISCO general 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 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. IPUMS 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. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 IPUMS Industry, general recode 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 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. IPUMS 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. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 IPUMS 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. IPUMS Status in employment (class of worker) [detailed version] 000 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 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or 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 255 State enterprise employee 256 Coordinated and continuous collaboration job 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. IPUMS Status in employment (class of worker), Europe NIU (not in universe) 1 Employees 2 Employers 3 Own-account worker 4 Contributing family workers 5 Members of producers' co-operatives 6 Persons not classificable by status 9 Unknown ECLASSWK refers in European Samples 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. ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples. ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice. IPUMS Number of employees 00 None 01 1 or 2 employees 02 3 to 5 03 3 to 9 04 6 to 9 05 6 or more 06 10 or more 08 Unknown 09 NIU (not in universe) EMPLNO reports the number of persons employed by the respondent. IPUMS Hours worked per week, categorized None 1 1 to 14 hours (except tt1980, tt1990 and tt2000) 2 15 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40-48 hours (except il1972, tt1980, tt1990, and tt2000) 5 49 hours or more (except il1972 and tt2000) 8 Unknown 9 NIU (not in universe) HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. IPUMS Usual hours worked per week, categorized None 1 1 to 14 hours (except ca1971) 2 15 to 29 hours (except de1970, ca1971) 3 30 to 39 hours (except de1970) 4 40-48 hours (except il1972-1995, ca1971, pt1991-2011) 5 49 hours or more (except il1972 and ca1971) 7 Inconsistent or irregular work schedule 8 Unknown 9 NIU (not in universe) HRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals. IPUMS Means of transportation to work or school 00 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, van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle, moped, or scooter 36 Bicycle 37 Bicycle or motorcycle/moped 38 Boat 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 or animal-drawn vehicle 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 includes only the first response. IPUMS Wage and salary income INCWAGE reports the respondent's weekly, monthly or annual wage and salary income. INCWAGE is a 7-digit numeric variable. Codes9999998 = Unknown/missing. 9999999 = NIU (not in universe). Top codes:Israel 1983: 74,716+ Israel 1995: 20,000+ Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Dominican Republic 1981: 2000+ Germany 1970: 2,500+ Indonesia 1995: 9,999,997+ Italy Surveys 2011-2020: 3000+ Jamaica 1982: 100,000+ Jamaica 1991: 100,000+ Jamaica 2001: 3,000,000+ Panama 1970: 800+ Panama 2000: 9,997+ Panama 2010: 10,000+ Puerto Rico 1970-1980: 50,000+ Puerto Rico 1990: 140,000+ Puerto Rico 2000: 175,000+ Puerto Rico 2005: 999,999+ Puerto Rico 2010: 173,000+ Puerto Rico 2015-2020: 99.5th percentile in the state (higher values are the state means of all cases above these cutoffs.) Trinidad and Tobago 2000: 55,000+ U.S.A. 1960: 25,000+ U.S.A. 1970: 50,000+ U.S.A. 1980: 75,000+ U.S.A. 1990: State median of values over 140,000 U.S.A. 2000: State median of values over 175,000 U.S.A. 2005-2020: 99.5th percentile within each state (higher values are the state means of all cases above these cutoffs.) IPUMS Source of livelihood 01 Work 02 Property or entrepreneurial income 03 Pension 04 Unemployment benefits 05 Illness or disability benefits 06 Other social support 07 Under state security or care 08 Scholarship 09 Apprenticeship 10 Credits, savings, or capital sale 11 Household support (dependent) 12 Assistance from relatives in country 13 Assistance from relatives, acquintances abroad 14 Multiple sources 15 Other 98 Unknown INCSRC indicates the respondent's primary source of livelihood, whether from work, benefits, or various other categories. IPUMS Person number (within household) Germany 1970: All persons Household record 1 1 This variable records the person number (within the household). IPUMS Doubled case in Berlin Germany 1970: All persons 1 Not doubled 2 Doubled, original case 3 Doubled, generated case 9 Federal states other than Berlin, not doubled This variable identifies original and duplicated records for a subset of doubled cases in Berlin. IPUMS Sex <svar a="all" v="DE70A403">1. Sex<br /><div class="i1">[] Male<br />[] Female</div><br /></svar> Germany 1970: All persons 1 Male 2 Female This variable indicates the sex of the person. IPUMS Year of birth <svar a="all" v="DE70A404 DE70A474">2. Date of birth<br /><div class="i1">____ Day<br />____ Month<br />____ Year</div><br /></svar> Germany 1970: All persons 1872 1872 and earlier 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 This variable indicates the year the person was born. IPUMS Marital status <svar a="all" v="DE70A405">3. Marital status<br /><div class="i1">[] Single<br />[] Married<br />[] Widowed<br />[] Divorced</div> <br /></svar> Germany 1970: All persons 1 Single 2 Married 3 Widowed 4 Divorced This variable indicates the person's marital status. IPUMS Relationship to head of household <svar a="all" v="DE70A406">4. Position in the household<br /><div class="i1">Head of household (HH) can be: a) Both spouses b) One of the spouses alone, unless both consider themselves as HH c) Every other person having a separate house-hold or one jointly with others.<br /><br />[] Head of household (HH)<br />[] Wife/husband of HH<br />[] Son (in-law), daughter of HH *)<br />[] Grandchild, great-grandchild of HH *)<br />[] Father, mother of HH *)<br />[] Grandfather, grandmother of HH *)<br />[] Another person related to HH by blood or marriage<br />[] Person not related to HH<br /><br />*) Also of wife/husband of HH</div><br /></svar> Germany 1970: All persons 1 Head of household 2 Spouse of head 3 Child (including step-children and in-laws) 4 Grandchild, great grandchild 5 Father, mother (including in-laws) 6 Grandfather, grandmother of head 7 Another person related to head by blood or marriage 8 Person not related to head This variable indicates the person's relationship to the head of the household. IPUMS Religion <svar a="all" v="DE70A407 DE70A408">5. Religious denomination <br /><div class="i1">[] Protestant Church (excl. Free Church)<br />[] Free Protestant Church<br />[] Roman-Catholic Church<br />[] Other Christian communities</div><br /><div class="i2">If others, which? ____</div><br /><div class="i1">[] Jewish religious community<br />[] No community<br />[] Other religious communities</div><br /><div class="i2">If others, which? ____</div><br /></svar> Germany 1970: All persons 1 Protestant Church (excluding Free Church) 2 Free Protestant Church 3 Roman-Catholic Church 4 Other Christian communities 5 Jewish religious community 6 No community 7 Other religious communities 9 Unknown This variable indicates the person's religion (general version). IPUMS Other religious denominations, detailed <svar a="all" v="DE70A407 DE70A408">5. Religious denomination <br /><div class="i1">[] Protestant Church (excl. Free Church)<br />[] Free Protestant Church<br />[] Roman-Catholic Church<br />[] Other Christian communities</div><br /><div class="i2">If others, which? ____</div><br /><div class="i1">[] Jewish religious community<br />[] No community<br />[] Other religious communities</div><br /><div class="i2">If others, which? ____</div><br /></svar> Germany 1970: Persons in other christian or religious communities [discrepancies: none] 01 Orthodox Church and special denominations ("sects") 02 Oriental National Churches and faction groups 03 Catholic Diocese and Old Catholic Church in Germany 04 Adventists 05 Jehovah's Witnesses and similar groups 06 The Christian Community / A Church 07 Christian Science 08 Catholic-apostolic 09 Mennonites 10 New Apostolic Church 11 Pentecostal Church 12 Other Christian-oriented special congregations 13 Other major religious groups 14 Covenant of Religious Humanism in Germany 15 German Unitarians 16 Monists and Freethinkers 17 Other world view communities 99 NIU (not in universe) This variable indicates the religious denomination (detailed version) to which the person belongs. IPUMS German <svar a="all" v="DE70A409 DE70A410">6. Citizenship<br /><div class="i1">[] German<br />[] Non-German</div><br /><div class="i2">If not German, which ____</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether or not the person is German (a German citizen). IPUMS Citizenship <svar a="all" v="DE70A409 DE70A410">6. Citizenship<br /><div class="i1">[] German<br />[] Non-German</div><br /><div class="i2">If not German, which ____</div><br /></svar> Germany 1970: Persons who are non-German citizens [discrepancies: none] 101 Belgium 102 France 103 Greece 104 Italy 105 Yugoslavia 106 Netherlands 107 Austria 108 Poland 109 Portugal 110 Switzerland 111 Spain 112 Czechlovakia 113 Turkey 114 Hungary 115 Great Britain 116 Iran 200 African Mediterranean Countries (without Morocco) 201 Other Africa 300 USA, other North-America 400 Middle-America, Caribbean, South-America 500 Near Middle East, Middle East (without Iran) 501 Other Asia 600 Australia, New Zealand, stateless 700 Estonia, Ireland, Lithuania, Luxembourg, Malta 800 Scandinavia 900 Iceland, Liechtenstein, Other Eastern-European, Other European 998 Unknown 999 NIU (not in universe) This variable records the person's place of citizenship (if not Germany). IPUMS Has other dwelling <svar a="all" v="DE70A411 DE70A412 DE70A413 DE70A414 DE70A415">7. Do you have another dwelling or accommodation?<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes:</div><br /><div class="i2">a. Do you go to work or school/university from the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">b. Do you live most of the time in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">c. Are you officially registered in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes, as main domicile<br />[] Yes, as secondary domicile<br />[] Not registered</div><br /><br /><div class="i2">d. Is this other dwelling/accommodation abroad?</div><br /><div class="i3">[] Yes<br />[] No</div><br /></svar> Germany 1970: All persons 1 No 2 Yes This variable indicates whether the person has another dwelling. IPUMS Goes to work from other dwelling <svar a="all" v="DE70A411 DE70A412 DE70A413 DE70A414 DE70A415">7. Do you have another dwelling or accommodation?<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes:</div><br /><div class="i2">a. Do you go to work or school/university from the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">b. Do you live most of the time in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">c. Are you officially registered in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes, as main domicile<br />[] Yes, as secondary domicile<br />[] Not registered</div><br /><br /><div class="i2">d. Is this other dwelling/accommodation abroad?</div><br /><div class="i3">[] Yes<br />[] No</div><br /></svar> Germany 1970: Persons with other dwelling [discrepancies: type I 0.1%; type II 4.5%] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether the person goes to work from another dwelling (other than that where the person was enumerated). IPUMS Lives in other dwelling <svar a="all" v="DE70A411 DE70A412 DE70A413 DE70A414 DE70A415">7. Do you have another dwelling or accommodation?<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes:</div><br /><div class="i2">a. Do you go to work or school/university from the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">b. Do you live most of the time in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">c. Are you officially registered in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes, as main domicile<br />[] Yes, as secondary domicile<br />[] Not registered</div><br /><br /><div class="i2">d. Is this other dwelling/accommodation abroad?</div><br /><div class="i3">[] Yes<br />[] No</div><br /></svar> Germany 1970: Persons with other dwelling [discrepancies: type I trace; type II 4.3%] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether the person lives in another dwelling (other than the one in which the person was enumerated). IPUMS Officially registered in other dwelling <svar a="all" v="DE70A411 DE70A412 DE70A413 DE70A414 DE70A415">7. Do you have another dwelling or accommodation?<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes:</div><br /><div class="i2">a. Do you go to work or school/university from the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">b. Do you live most of the time in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">c. Are you officially registered in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes, as main domicile<br />[] Yes, as secondary domicile<br />[] Not registered</div><br /><br /><div class="i2">d. Is this other dwelling/accommodation abroad?</div><br /><div class="i3">[] Yes<br />[] No</div><br /></svar> Germany 1970: Persons with other dwelling [discrepancies: type I 1.2%; type II 0.5%] 1 Yes, main domicile 2 Yes, secondary domicile 3 Not registered 8 Unknown 9 NIU (not in universe) This variable indicates whether the person is officially registered in other dwelling (a dwelling other than that where they were enumerated). IPUMS Other dwelling is abroad <svar a="all" v="DE70A411 DE70A412 DE70A413 DE70A414 DE70A415">7. Do you have another dwelling or accommodation?<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes:</div><br /><div class="i2">a. Do you go to work or school/university from the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">b. Do you live most of the time in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes<br />[] No</div><br /><br /><div class="i2">c. Are you officially registered in the other dwelling/accommodation?</div><br /><div class="i3">[] Yes, as main domicile<br />[] Yes, as secondary domicile<br />[] Not registered</div><br /><br /><div class="i2">d. Is this other dwelling/accommodation abroad?</div><br /><div class="i3">[] Yes<br />[] No</div><br /></svar> Germany 1970: Persons with other dwelling [discrepancies: type I none; type II 5.4%] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether a person's other dwelling is located abroad. IPUMS Main source of livelihood <svar a="all" v="DE70A416">8. What is your main source of livelihood?<br /><div class="i1">[] Economic activity<br />[] Unemployment benefits or relief<br />[] Own pension etc.<br />[] Support by parents, husband, etc.<br />[] Own property, letting, interest, farm annuity<br />[] Social assistance and other benefits</div><br /></svar> Germany 1970: All persons 1 Economic activity 2 Unemployment benefits or relief 3 Own pension etc. 4 Support by parents or by spouse, etc. 5 Own property, private funds, letting, interests etc 6 Social assistance and other benefits This variable indicates the person's main source of livelihood. IPUMS Presently attending a school <svar a="all" v="DE70A417">9. Are you at present attending school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Intermediate school<br />[] High school<br />[] Full-time or advanced full-time vocational school *)<br />[] Engineering school<br />[] University<br /><br />*) Also school for technicians</div><br /></svar> Germany 1970: Persons age 5+ currently attending school [discrepancies: unverifiable] 1 Primary school 2 Compulsory part-time vocational school 3 Intermediate school 4 High school 5 Full time or advanced full-time vocational school 6 Engineering school 7 University 9 NIU (not in universe) This variable indicates whether a person is presently attending a school. IPUMS Completed primary school <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed primary school. The data include multiple school level responses for some individuals. IPUMS Completed compulsory part-time vocational school <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed compulsory part-time vocational school. The data include multiple school level responses for some individuals. IPUMS Completed 10th grade <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed 10th grade. The data include multiple school level responses for some individuals. IPUMS Completed final high school exam <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed the final high school exam. The data include multiple school level responses for some individuals. IPUMS Completed full-time or advanced vocational school <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed full-time or advanced vocational school. The data include multiple school level responses for some individuals. IPUMS Completed engineering school <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed engineering school. The data include multiple school level responses for some individuals. IPUMS Completed university <svar a="all" v="DE70A418 DE70A419 DE70A420 DE70A421 DE70A422 DE70A423 DE70A424">10. Did you complete a school? If so, which?<br /><div class="i1">[] Primary school<br />[] Compulsory part-time vocational school<br />[] Completed 10th grade<br />[] Final high school examination<br />[] Full-time or advanced full-time vocational-school *)<br />[] Engineering school<br />[] University (also teacher training)<br /><br />*) Also a school for technicians</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person has completed university education. The data include multiple school level responses for some individuals. IPUMS Economically active Germany 1970: All persons 1 Yes 2 No This variable indicates whether a person is economically active. IPUMS Farmer <svar a="all" v="DE70A426 DE70A427 DE70A428 DE70A429 DE70A430 DE70A431">11. Are you:<br /><div class="i1">[] Economically active<br />[] Farmer<br />[] Unpaid family worker<br />[] Unemployed/looking for work<br />[] Not economically active<br />[] Housewife<br />[] Regular soldier</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether a person is a farmer. IPUMS (Unpaid) assistant in family business <svar a="all" v="DE70A426 DE70A427 DE70A428 DE70A429 DE70A430 DE70A431">11. Are you:<br /><div class="i1">[] Economically active<br />[] Farmer<br />[] Unpaid family worker<br />[] Unemployed/looking for work<br />[] Not economically active<br />[] Housewife<br />[] Regular soldier</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether a person is an assistant in a family business. IPUMS Unemployed / seeking work <svar a="all" v="DE70A426 DE70A427 DE70A428 DE70A429 DE70A430 DE70A431">11. Are you:<br /><div class="i1">[] Economically active<br />[] Farmer<br />[] Unpaid family worker<br />[] Unemployed/looking for work<br />[] Not economically active<br />[] Housewife<br />[] Regular soldier</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether a person is unemployed and seeking work. IPUMS No economic activity <svar a="all" v="DE70A426 DE70A427 DE70A428 DE70A429 DE70A430 DE70A431">11. Are you:<br /><div class="i1">[] Economically active<br />[] Farmer<br />[] Unpaid family worker<br />[] Unemployed/looking for work<br />[] Not economically active<br />[] Housewife<br />[] Regular soldier</div><br /></svar> Germany 1970: All persons 1 Yes 2 No Not economically active. IPUMS Homemaker <svar a="all" v="DE70A426 DE70A427 DE70A428 DE70A429 DE70A430 DE70A431">11. Are you:<br /><div class="i1">[] Economically active<br />[] Farmer<br />[] Unpaid family worker<br />[] Unemployed/looking for work<br />[] Not economically active<br />[] Housewife<br />[] Regular soldier</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether or not a person is a homemaker. IPUMS In military / armed forces <svar a="all" v="DE70A426 DE70A427 DE70A428 DE70A429 DE70A430 DE70A431">11. Are you:<br /><div class="i1">[] Economically active<br />[] Farmer<br />[] Unpaid family worker<br />[] Unemployed/looking for work<br />[] Not economically active<br />[] Housewife<br />[] Regular soldier</div><br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether or not a person is a member of the military or armed forces. IPUMS Means of transport to school or work <svar v="DE70A432 DE70A433">For economically active persons (also self-employed, farmers, family workers) as well as pupils and students.<br />[Questions 12-14 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A432">13. Which means of transport do you mainly use (longest distance) on your way to work or school/university?<br /><div class="i1">[] No means of transport (walk)<br />[] Train<br />[] Tramway<br />[] Metropolitan, underground, elevated railway<br />[] Factory bus, school bus<br />[] Public or private regular bus<br />[] Motorcycle, moped<br />[] Bicycle, other means of transport (excl. car)<br />Car:</div><br /><div class="i2">[] Driver<br />[] Passenger</div><br /><div class="i1">If car is used, distance (one way):</div><br /><div class="i2">[] up to 10 km<br />[] over 10 km</div><br /></svar> Germany 1970: Economically active persons age 15+, students age 15+, or children in compulsory school [discrepancies: none] 01 No means of transport (walks) 02 Train 03 Tram 04 Metropolitan, underground, elevated railway 05 Factory bus, school bus 06 Public or private regular bus 07 Motorcycle, moped 08 Bicycle, other means of transport (excluding car) 09 Car, driver up to 10 kilometers 10 Car, driver over 10 kilometers 11 Car, passenger up to 10 kilometers 12 Car, passenger over 10 kilometers 99 NIU (not in universe) This variable indicates the means of transport a person uses to travel to school or work. IPUMS Time to school or work <svar v="DE70A432 DE70A433">For economically active persons (also self-employed, farmers, family workers) as well as pupils and students.<br />[Questions 12-14 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A433">14. How much time do you normally need for your way to work or school/university?<br /><div class="i1">[] Does not apply as on same premises<br />[] Under 15 minutes<br />[] 15 to under 30 minutes<br />[] 30 to under 60 minutes<br />[] 60 minutes and more</div><br /></svar> Germany 1970: Economically active persons age 15+, students age 15+, or children in compulsory school [discrepancies: none] 1 None, on same premises 2 Under 15 minutes 3 15 to under 30 minutes 4 30 to under 60 minutes 5 60 minutes and more 9 NIU (not in universe) This variable indicates the time it takes for the person to travel to school or work. IPUMS Industry <svar v="DE70A434 DE70A435 DE70A436 DE70A437">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 15-18 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A434">15. Branch of business (branch of economy, line) of the establishment (firm, agency) ____<br /></svar> Germany 1970: Economically active or military persons age 15+ [discrepancies: none] 00 NIU (not in universe) 01 Agriculture (excluding horticulture) 02 Forestry 03 Horticulture, commercial horticulture, and commercial animal husbandry, breeding and care 04 Ocean and costal fishing 05 Inland fisheries and aquaculture 06 Energy and water supply 07 Coal mining 08 Ore mining 09 Petroleum, natural gas, and bituminous rocks extraction 10 Potash and rock salt mining, salt works, other mining 11 Chemical industry (excluding coal and chemical fiber production industries) 12 Chemical fiber production 13 Petroleum production 14 Plastics, rubber, and asbestos 15 Construction materials, refractory ceramic, and earthware production 16 Other mining and quarrying processing 17 Fine ceramics, glass production and processing 18 Ferrous and non-ferrous metal production (excluding semi-finished works) 19 Smithing 20 Specialty steels and cold rolling mills 21 Steel forming, surface fininshing and curing, metalworking, welding, grinding, smithing, nec 22 Construction and production of steel and alloy containers 23 Wagon, field and industrial railway wagon construction 24 Ventilation, heat, and health system installation and repair 25 Mechanical engineering (office machinery construction) 26 Office machinery, equipment and computer manufacturing 27 Motor vehicles, motor vehicle parts and bodies manufacturing 28 Motorcycle and related engines, bicycles, baby carriages, and other hand-draw vehicle manifacturing and repair 29 Motorcycle and bicycle repair, and road vehicle coating 30 Shipbuilding, aircraft construction 31 Electrical equipment 32 Optical equipment, watch manufacturing and repair 33 EBM goods production (excluding motorcycle and bicycle parts, and motor vehicle and bicycle accessories 34 Motorcycle and bicycle parts, and motor vehicle and bicycle accessories manufacturing 35 Musical instruments, sports equipment, toys and jewelry manufacturing 36 Sawmills and wood processing plants, wood processing 37 Paper production and processing 38 Printing and reproduction 39 Leather production and processing (excluding footware manufacturing) 40 Leather and textile footware series production (excluding mass production) 41 Custom-made shoes and shoe repair production 42 Textile production 43 Clothing production 44 Upholstery and decoration 45 Food and beverage industry (excluding meat, beverage and tobacco processing) 46 Meat production 47 Beverage production 48 Tobacco production 49 Construction (excluding carpentry and roofing) 50 Carpentry and roofing 51 Expansion and building 52 Wholesale (undifferentiated) of raw materials and intermediate products 53 Wholesale of food, drinks, tobacco 54 Wholesale of clothing, linens, equipments, sports goods, and shoes 55 Wholesale of hardware, electrical products, jewelry, toys, and similar products 56 Wholesale of tools and machinery, industrial equipment, and special needs of different sectors 57 Wholesale of pharmaceutical and cosmetic products, and dentistry, nursing and hairdressing equipment 58 Wholesale of paper, paper products, and printing 59 Wholesale trade 60 Retail stores (excluding general stores) 61 Retail of food, beverages and general stores 62 Retail of clothing, linens, equipment, sports goods, and shoes 63 Retail of iron and metal goods, household goods, housing needs, etc 64 Retail of paper products and printing 65 Retail of pharmaceutical, orthopedic, medical, cosmetic and cleaning products 66 Retail of other goods 67 Railways 68 German Federal Post Office 69 Roads 70 Shipping, inland waterways and ports 71 Aviation, airports 72 Other transportation industry 73 Credit and other financial institutions 74 Insurance 75 Restaurants and cafes 76 Laundry, dry cleaning and garment dyeing, ironing and rotary iron 77 Building, rooms and equipment cleaning (excluding building facades), commercial chimney sweep 78 Hairdressing and other personal care industry 79 Science, education and sports 80 Art, theater, film, radio and television 81 Publishing 82 Literature and journalism 83 Health and veterinary 84 Legal advice, counseling and examination 85 Architectural and engineering firms, laboratories, and similar institutions 86 Commercial advertising (excluding exhibitions and trade fairs) 87 Real estate, asset management 88 Exhibitions, surveillance and similar services, information offices, commercial packaging 89 Exhibitions, betting and lotteries, casinos 90 Pawnshops and auction trade, hygienic, and similar 91 Renting (excluding books, magazines and movie rentals) 92 Commercial photography 93 Christian churches, [religious] orders, religious and ideological associations 94 Organizations in education, science and culture, sports, and youth care 95 Organizations for business life 96 Other non-profit organizations (excluding voluntary welfare organizations and political parties) 97 Private households 98 Government 99 Social security This variable indicates the industry in which the person is employed. IPUMS Position in occupation <svar v="DE70A434 DE70A435 DE70A436 DE70A437">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 15-18 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A435">16. Are you:<br /><div class="i1">[] Wage earner/homeworker<br />[] Industrial apprentice<br />[] Salaried employee<br />[] Commercial, technical, administrative apprentice<br />[] Official/judge<br />[] Self-employed<br />[] Unpaid family worker</div><br /></svar> Germany 1970: Economically active or military persons age 15+ [discrepancies: none] 1 Wage earner / home worker 2 Industrial apprentice 3 Salaried employee 4 Mercantile, technical, administrative apprentice 5 Official / judge 6 Self-employed 7 Unpaid family worker 9 NIU (not in universe) This variable indicates the person's class of work. IPUMS Other economic activity <svar v="DE70A434 DE70A435 DE70A436 DE70A437">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 15-18 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A436">18. Do you pursue any further activities?<br /><div class="i1">[] Agricultural activity<br />[] Other activity</div><br /></svar> Germany 1970: Economically active or military persons age 15+ who pursue other activities [discrepancies: unverifiable] 1 Farming activity 2 Other activity 9 NIU (not in universe) This variable indicates whether a person engages in economic activity other than or in addition to work. IPUMS Usual hours worked per week <svar v="DE70A434 DE70A435 DE70A436 DE70A437">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 15-18 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A437">17. How long do you normally work per week?<br /><div class="i1">[] Under 15 hours<br />[] 15 to 24 hours<br />[] 25 to 36 hours<br />[] Over 36 hours</div><br /></svar> Germany 1970: Economically active or military persons age 15+ [discrepancies: none] 1 Under 15 hours 2 15-24 hours 3 25-30 hours 4 More than 30 hours 9 NIU (not in universe) This variable indicates the number of hours a person normally works per week. IPUMS Residence on 1 Sept 1939 (outbreak of WWII) <svar v="DE70A438 DE70A439 DE70A440">For all persons [of German citizenship]<br />[Questions 19-21 were asked of all persons of German citizenship]<br /></svar></p> <p><svar a="all" v="DE70A438">19. Residence on 1 Sept. 1939 (outbreak of war)<br /><div class="i1">For persons born later than 1 Sept. 1939: Residence of father on 1 Sept. 1939, or, if residence of father is unknown, residence of mother<br /><br />[] Federal Republic incl. Berlin (West)<br />[] Soviet zone/East Berlin<br />[] Eastern territories of Germany<br />[] Czechoslovakia (incl. Sudeten territory)<br />[] Eastern neighbor countries, South-Eastern Europe<br />[] Other regions</div><br /></svar> Germany 1970: German citizens [discrepancies: type I none; type II trace] 1 Federal Republic of Germany including Berlin (West) 2 Soviet zone/ East Berlin 3 Former Eastern territories of Germany 4 Czechoslovakia (including Sudeten territories.) 5 Eastern neighbor countries, South-Eastern Europe 6 Other regions 8 Unknown 9 NIU (not in universe) This variable indicates a person's place of residence on September 1, 1939 (at the outbreak of WWII). IPUMS Arrived after WWII from the Soviet zone or East Berlin <svar v="DE70A438 DE70A439 DE70A440">For all persons [of German citizenship]<br />[Questions 19-21 were asked of all persons of German citizenship]<br /></svar></p> <p><svar a="all" v="DE70A439">20. Did you arrive after the end of the war from the Soviet-occupied zone of East Berlin?<br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Germany 1970: German citizens [discrepancies: type I none; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person arrived after WWII from the Soviet zone or East Berlin. IPUMS Federal expellee / Federal refugee identity card <svar v="DE70A438 DE70A439 DE70A440">For all persons [of German citizenship]<br />[Questions 19-21 were asked of all persons of German citizenship]<br /></svar></p> <p><svar a="all" v="DE70A440 DE70A479">21. Do you have a Federal Expellee Identity Card or a Federal Refugee Identity Card? If so, which? <br /><div class="i1">[] Identity Card A<br />[] Identity Card B<br />[] Identity Card C</div><br /></svar> Germany 1970: German citizens with expellee ID card or foreigners [discrepancies: type I none; type II 1.6%] 1 Identity card A 2 Identity card B 3 Identity C 8 Unknown 9 NIU (not in universe) This variable indicates whether the person is a Federal Expellee or has a Federal Refugee Identity Card. IPUMS Economically active in the past <svar v="DE70A441 DE70A442">For economically non-active persons over 14 years (also housewives, recipients of pensions)<br />[Questions 22-23 were asked of economically non-active persons over 14 years]<br /></svar></p> <p><svar a="all" v="DE70A441">22. Have you formerly been economically active?<br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Germany 1970: Economically non-active persons 15+ [discrepancies: type I none; type II 0.5%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether a person was economically active in the past. IPUMS Year of termination of former economic activity <svar v="DE70A441 DE70A442">For economically non-active persons over 14 years (also housewives, recipients of pensions)<br />[Questions 22-23 were asked of economically non-active persons over 14 years]<br /></svar></p> <p><svar a="all" v="DE70A442">23. In which year did you give up your economic activity? 19 _ _<br /></svar> Germany 1970: Persons who were economically active in the past [discrepancies: type I trace; type II none] 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 9999 NIU (not in universe) This variable indicates the year of termination of a person's former economic activity. IPUMS Occupation, 2 digits Germany 1970: Economically active or military persons age 15+ excluding foreigners [discrepancies: type I none; type II trace %] 001 Farmer 002 Animal breeder, fisherman 003 Administrator, consultant in agriculture and animal breeding 004 Farm laborer, animal keeper 005 Holticulturist 006 Forestry, hunting worker 007 Miner 008 Mineral, petroleum, natural gas production worker 009 Mineral processing worker 010 Stone cutter 011 Building materials manufacturer 012 Ceramist 013 Glassmaker 014 Chemical worker 015 Plastic processor 016 Paper producer, processor 017 Printer 018 Wood processor, wood product manufacturer, related worker 019 Metallurgy worker, roller 020 Shaper, molder 021 Metal former (non-cutting) 022 Metal former (machined) 023 Metal surface finishing, coating, plating worker 024 Metal connector 025 Smith 026 Sheetmetal worker, plumber 027 Locksmith 028 Mechanic 029 Toolmaker 030 Fine metal builder and associated worker 031 Electrician 032 Assembler, metal trades worker nec 033 Spin worker 034 Textile manufacturer 035 Textile processor 036 Textile finisher 037 Leather manufacturer, leather and fur processor 039 Baking, confectionary manufacturer 040 Meat, fish processor 041 Ready meals worker 042 Beverages, beverage manufacturer 043 Other nutrition worker 044 Mason, concrete worker 045 Carpenter, roofer, scaffolder 046 Road, civil contractor 047 Construction laborer 048 Architectural decorator 049 Interior decorator, upholsterer 050 Cabinet maker, model maker 051 Painter, laquerer and similar worker 052 Inspector, dispatch preparer 053 Laborer withour activity details 054 Machinist and related worker 060 Engineers 061 Chemists, physicists, mathematicians 062 Technicians 063 Special technical professionals 068 Sales personnel 069 Banking, insurance brokers 070 Other services consultants and related occupations 071 Land transport occupations 072 Professions of water and air transport 073 Communications occupations 074 Warehouseman, warehouse, transport workers 075 Entrepreneurs, organizers, accountants 076 Members of Parliament, administrative professionals entsmeidende 077 Data processing specialists 078 Office workers, office assistants 079 Service, security professionals 080 Security workers, soldiers 081 Lawyers, legal advisors 082 Writers, translators, librarians 083 Artists and related professions 084 Doctors, pharmacists 085 Other health service occupations 086 Social work associate professionals 087 Teachers 088 Humanities and natural sciences occupations nec 089 Pastors 090 Personal care workers 091 Hospitality staff 092 Domestic jobs 093 Cleaning occupations 097 Family workers outside agriculture, n e c 098 Workers with certain job yet 099 Workers without further indication of activity 998 Unknown 999 NIU (not in universe) This variable gives the 2-digit occupation of the respondent. IPUMS Occupation <svar a="all" v="DE70A443 DE70A444 DE70A445 DE70A446">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 24-26 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A443 DE70A444">24. Kind of activity pursued?<br /><div class="i1">a) Occupation (for officials, state title) ____<br /><br />b) Description in condensed form (operation, material or commodity etc. handled) ____</div><br /></svar> Germany 1970: Economically active or military persons age 15+ excluding foreigners [discrepancies: type I none; type II trace %] 011 Farmer 012 Winemaker 021 Animal breeder 022 Fisher 031 Manager in agriculture and animal breeding 032 Agricultural engineer, agricultural consultant 041 Agricultural worker 042 Milker 043 Own family land worker 044 Animal keepers and related worker 051 Gardener, garden worker 052 Landscape architect, garden manager 053 Flower grower 061 Forest manager, forester, hunter 062 Forest worker, forest user 071 Miner 072 Mechanical, electrical, shotfire worker 081 Stone crusher 082 Earth, gravel, sand extractor 083 Earth, natural gas extractor 091 Mineral processing, mineral spring worker 101 Stone cutter 102 Gem stone cutter 111 Burnt stone manufacturer 112 Cast stone, concrete manufacturer 121 Ceramist 131 Mass production glass manufacturer 132 Hollow glassmaker 133 Flat glassmaker 134 Glass blowing (from the lamp) 135 Glass processing, refining worker 141 Chemical plant worker 142 Chemistry lab worker 143 Rubber manufacture, processing worker 144 Vulcanizer 151 Plastic processor 161 Paper and pulp producer 162 Packaging manufacturer 163 Bookbinder 164 Other paper processor 171 Typesetter 172 Block manufacturer 173 Printer (high pressure) 174 Flat printer 175 Special printer, screen printer 176 Duplicator 177 Printer's helper 181 Wood processor 182 Wood deformator and similar worker 183 Wood product maker 184 Wicker, straw maker 191 Iron, metal producer, glazer 192 Roller 193 Metal puller 201 Former, core molder 202 Molder 203 Semi-finished cleaning and other molding worker 211 Plate presser, puller, puncher 212 Wire deformation, processing worker 213 Other metal former (non-cutting deformation) 221 Turner 222 Milling cutter 223 Scraper, planer, shaper 224 Driller 225 Metal grinder 226 Other machine worker 231 Metal polisher 232 Engraver, chaser 233 Metal temperer 234 Electroplater, metal dyer 235 Enameler, galvanizer and other surface finisher 241 Welder, flame cutter 242 Solderer 244 Metal adhesives and other metal connector workers 251 Steel smith 252 Container maker, coppersmith, and related worker 261 Sheetmetal worker 262 Pipe fitter 263 Pipe network building, pipe fitter 270 Locksmith 281 Motor vehicle repairer 282 Construction equipment repairer 283 Aircraft mechanic 284 Precision engineer 285 Other mechanic 286 Watchmaker 291 Toolmaker 301 Fine metal builder 302 Precious metal forger 303 Dental technician 304 Optometrist 305 Musical instruments maker 306 Toy or model maker, taxidermist 311 Electrician, fitter 312 Telecommunications engineer, building worker 313 Electric motor, transformer manufacturer 314 Electric appliance manufacturer 315 Radio, sound equipment mechanic 321 Electrical appliances, electrical parts assembler 322 Other assembler 323 Metal worker 331 Spinner, spin rigger 332 Winding, twisting roper 341 Weaving preparation worker 342 Weaver 344 Finished knits worker 346 Textile weaver 351 Tailor 352 Outwerwear producer 353 Laundry tailor, clothes sewing worker 354 Sticker, embroiderer 355 Hat, cap maker 356 Sewing worker, nec 357 Other textile processor 361 Textile dyer 362 Textile equipment supplier 371 Leather manufacturer, gut-strings maker 372 Shoe repairer 373 Footware manufacturer 374 Rough leather goods, truss manufacturer 375 Fine leather goods manufacturer 376 Leather garments manufacturer, and other leather worker 377 Glover 378 Fur processor 391 Bakery products worker 392 Confectioner 401 Meat processor 402 Meat, sausage manufacturer 403 Fish processor 411 Cook 412 Ready meals, fruit, vegetables preserves maker 421 Wine cooper 422 Brewer 423 Tobacco maker 424 Other beverage, food company worker 431 Milk, fat processor 432 Flour, foodstuff manufacturer 433 Sugar, confectionery, ice cream manufacturer 441 Mason 442 Concrete worker 451 Carpenter 452 Roofer 453 Scaffolder 461 Paver, stone setter 462 Road builder 463 Railway track worker 464 Explosives expert (excluding shotfire) 465 Civic, hydraulic structures worker 466 Other civic engineering worker 470 Construction laborer 481 Stucco worker, plasterer 482 Insulator, sealer 483 Tiler, mosaic maker 484 Stove fitter, air heating engineer 485 Glazier 486 Flooring, terrace worker 491 Interior decorator 492 Upholsterer, mattress manufacturer 501 Cabinet maker 502 Model maker, form carpenter 503 Wheelwright, cooper 504 Other wood, sporting equipment manufacturer 511 Painter, laquerer (removal) 512 Ware painter, laquerer 513 Wood surface finisher, veneerer 514 Ceramic, glass painter 521 Inspector, sorter, nec 522 Lead inspector, dispatch preparer 531 Laborer without activity details 541 Energy engineer 542 Conveyor machine operator, lift engineer 543 Other machine operator 544 Crane operator 545 Heavy equipment leader 546 Construction leader 547 Machine guard, machine helper 548 Heater 549 Machine leader and other worker 601 Machine and vehicle engineers 602 Electrical engineers 603 Architects, civil engineers 604 Surveyors (engineering) 605 Mining, metallurgical, and foundry engineers 606 Other production engineers 607 Other engineers 611 Chemists, chemical engineers 612 Physicists, physics engineers, mathematicians 621 Mechanical engineer technician 622 Engineer of the electric multiple 623 Technicians 624 Surveyor (technician) 625 Mining, metallurgical, foundry engineers (technician) 626 Chemical engineer; physical science (technician) 627 Other production technician 628 Other technicians 629 Industrial foreman 631 Biology and special technical professionals 632 Physics and Mathematics and special technical professionals 633 Laboratory assistant 634 Photo lab technician 635 Draughtsmen 681 Wholesale and retail traders, buyers 682 Seller 683 Publisher merchants, booksellers 684 Druggist 685 Pharmacy assistants 686 Gas station 687 Sales representatives 688 Itinerant traders 691 Bankers and related workers 692 Building society personnel (finance) 693 Health professionals (not social security) 694 Life, property insurance specialists 701 Forwarding agents 702 Tourism professionals 703 Advertising people 704 Brokers, property managers 705 Owners, agents, auctioneers 706 Tax collectors, disbursement, ticket sellers, inspectors 711 Rail engine driver 712 Railway switcher, rail traffic control 713 Other driving controllers, non-railway 714 Motor vehicle drivers 715 Coachman 716 Road maintenance, bridge operator 721 Navigator, ship 722 Technical officers, ship engineers 723 Cover people in the maritime, boat people, sailors, Jung degrees; deckhand 724 Boatmen 725 Other water transportation occupations 726 Aviation occupations 731 Postmaster 732 Post office workers 733 Radio operator 734 Telephone workers 741 Warehouseman, magaziner 742 Transport equipment operators 743 Stevedores, packers 744 Shipping, storage, transport workers 751 Entrepreneurs, managers, business managers 752 Consultants, support staff 753 Auditors, tax accountants 761 MPs, ministers, elected officials 762 Senior administrators, and administrative decisions 763 Association directors, officials 771 Calculators, billing clerk 772 Accountant 773 Cashier 774 IT experts 781 Office staff 782 Stenographers, typists 783 Data entry workers 784 Office assistants 791 Factory policemen, detectives 792 Watchman, guard 793 Reception, caretakers 794 Hotel waiters, ushers 801 Soldiers, border guards, police officers 802 Professional firefighters 803 Safety inspectors 804 Chimney sweep 805 Disinfectors, inspectors, other health professionals 811 Judges and lawyers 812 Court clerks 813 Lawyers, notaries, legal advisors 814 Law enforcement officers 821 Publicists 822 Interpreters, translators 823 Librarians, archivists, museum professionals 831 Musicians 832 Performing artists 833 Artists, graphic artist 834 Decoration, sign painter 835 Artistic and allied professions of the stage, image and sound 836 Space, display designers 837 Photographers 838 Athletes, models 841 Doctors 842 Dentists 843 Veterinarians 844 Pharmacists 851 Healths therapists 852 Massage therapists, physiotherapists and related workers 853 Nurses, midwives 854 Assistants in nursing 855 Nutritionists, pharmaceutical-technical assistants 856 Office helpers 857 Medical laboratory assistants 861 Social workers, social carers 862 Home manager, social workers 863 Employment, career counselors 864 Kindergarten teachers, nursery nurses 871 High school teachers, lecturers at colleges and academies 872 School teacher 873 Secondary school teachers, primary school teachers, special education 874 Specialist teachers, vocational teachers, craft teachers 875 Teachers for arts subjects, nec 876 Sport teacher 877 Other teachers 881 Economic and social sciences, animal products nec, statisticians 882 Humanities professionals, nec 883 Scientists, nec 891 Pastors 892 Members of religious orders and organizations, non-professional 893 Pastoral care, worship assistants 901 Hairdressers 902 Beauticians and other personal care 911 Restauranteurs, hoteliers 912 Waiters, stewards 913 Other hospitality staff 921 Housekeeping manager 922 Consumer advisor 923 Domestic managers 931 Launderers 932 Dry cleaners, dyers and dry cleaners 933 Household cleaners 934 Glass, building cleaners 935 Street cleaners, waste disposal 936 Automotive cleaners, maintenance 937 Machine, tank cleaners and related workers 971 Family workers outside agriculture 981 Apprentices, profession not yet determined 983 Workers (seeking work) profession not determined 991 Workers without further indication of activity 998 Unknown 999 NIU (not in universe) This variable indicates a person's occupation. IPUMS Rank of public servants <svar a="all" v="DE70A443 DE70A444 DE70A445 DE70A446">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 24-26 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A443 DE70A444">24. Kind of activity pursued?<br /><div class="i1">a) Occupation (for officials, state title) ____<br /><br />b) Description in condensed form (operation, material or commodity etc. handled) ____</div><br /></svar> Germany 1970: Economically active or military persons age 15+ [discrepancies: type I none; type II 40.8%] 1 Senior executive service 2 Executive service 3 Mid-level service 4 General service 8 No specification 9 NIU (not in universe) This variable indicates a person's public service rank. IPUMS Machinery operation <svar a="all" v="DE70A443 DE70A444 DE70A445 DE70A446">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 24-26 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A445">25. When doing your work are you mainly operating<br /><div class="i1">[] Automatic/semi-automatic machine<br />[] Another machine<br />[] No machine</div><br /></svar> Germany 1970: Economically active or military persons age 15+ excluding foreigners [discrepancies: type I none; type II trace%] 1 Automated and semi-automated machinery 2 Other machinery 3 No machinery 8 Unknown 9 NIU (not in universe) This variable indicates whether a person operates machinery. IPUMS Monthly net income (in Deutsche Mark) <svar a="all" v="DE70A443 DE70A444 DE70A445 DE70A446">For economically active persons (also self-employed, farmers, family workers)<br />[Questions 24-26 were asked of economically active persons]<br /></svar></p> <p><svar a="all" v="DE70A446 DE70A478">26. What monthly net income do you derive from your economic activity?<br /><div class="i1">(Not to be answered by self-employed in agriculture and by unpaid family workers.)<br /><br />[] Under 300 DM<br />[] 300 to under 500 DM<br />[] 500 to under 800 DM<br />[] 800 to under 1,200 DM<br />[] 1,200 to under 1,800 DM<br />[] 1,800 to under 2,500 DM<br />[] 2,500 DM and more</div><br /></svar> Germany 1970: Economically active or military persons age 15+ (excluding self-employed farmers, unpaid family workers and foreigners) [discrepancies: type I trace; type II none] 1 Under 300 2 300 to under 500 3 500 to under 800 4 800 to under 1200 5 1200 to under 1800 6 1800 to under 2500 7 2500 and more 9 NIU (not in universe) This variable records a person's monthly net income. IPUMS Supervisory position <svar v="DE70A447">For persons in managerial or supervisory positions (excl. self-employed)<br />[Question 27 was asked of persons in managerial or supervisory positions]<br /></svar></p> <p><svar a="all" v="DE70A447">27. Are you:<br /><div class="i1">[] Supervisor, factory master, master of trade, etc. <br />[] Foreman etc. <br />[] Director, manager, member of the board of directors, etc. of an enterprise or establishment<br />[] Working in another managerial or supervisory position</div><br /></svar> Germany 1970: Economically active or military persons age 15+ in managerial or supervisory positions (excluding self-employed and foreigners) [discrepancies: type I none; type II 34.9%] 1 Industry, industrial-plant foreman, foreman etc. 2 Assistant foreman and similar 3 Manager, general executive manager, chief executive officer, supervisor and similar 4 Other managing or supervising activity 8 Unknown 9 NIU (not in universe) This variable indicates a person's supervisory position. IPUMS Number of persons employed <svar v="DE70A448 DE70A449">For self-employed<br />[Questions 28-29 were asked of self-employed persons]<br /></svar></p> <p><svar a="all" v="DE70A448">28. How many persons are employed in your establishment? ____<br /><div class="i1">(Incl. working proprietors, managers, unpaid family workers)</div><br /></svar> Germany 1970: Economically active or military persons age 15+ and self-employed/employers [discrepancies: type I none; type II 0.1%] 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 035 31 to 35 040 36 to 40 045 41 to 45 050 46 to 50 055 51 to 55 060 56 to 60 065 51 to 65 070 66 to 70 075 71 to 75 080 76 to 80 085 81 to 85 090 86 to 90 100 91 to 100 110 101 to 110 120 111 to 120 140 121 to 140 160 141 to 160 180 161 to 180 200 181 to 200 250 201 to 250 300 251 to 300 400 301 to 400 500 401 to 500 501 More than 500 998 Unknown 999 NIU (not in universe) This variable indicates the number of employees in a person's place of work. IPUMS Some of employees are salary-earners <svar v="DE70A448 DE70A449">For self-employed<br />[Questions 28-29 were asked of self-employed persons]<br /></svar></p> <p><svar a="all" v="DE70A449">29. Are some of them wage or salary earners?<br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Germany 1970: Economically active or military persons age 15+ and self-employed [discrepancies: type I none; type II 0.1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether some of a person's employees are salary-earners. IPUMS Agriculturally cultivated area (hectares) <svar v="DE70A450">For owners or tenants of agriculturally used areas. Garden land not under 0.5 ha (5,000 m^2)<br />[Question 30 was asked of owners or tenants of agriculturally used areas]<br /></svar></p> <p><svar a="all" v="DE70A450">30. How large is the total area?<br /><div class="i1">(Incl. area taken on lease, but excl. area let on lease)<br /><br />____ Ha<br />____ Ar <br />____ M^2</div><br /></svar> Germany 1970: Owners or tenants of agriculturally used areas age 15+ excluding foreigners [discrepancies: unverifiable] 01 Up to 500 02 501 to 1,000 03 1,001 to 1,500 04 1,501 to 2,000 05 2,001 to 2,500 06 2,501 to 3,000 07 3,001 to 3,500 08 3,501 to 4,000 09 4,001 to 4,500 10 4,501 to 5,000 11 5,001 to 7,500 12 7,501 to 10,000 13 10,001 to 12,500 14 12,501 to 15,000 15 15,001 to 17,500 16 17,501 to 20,000 17 20,001 to 22,500 18 22,501 to 25,000 19 25,001 to 27,500 20 27,501 to 30,000 21 30,001 to 32,500 22 32,501 to 35,000 23 35,001 to 37,500 24 37,501 to 40,000 25 40,001 to 42,500 26 42,501 to 45,000 27 45,001 to 47,500 28 47,501 to 50,000 29 50,001 to 55,000 30 55,001 to 60,000 31 60,001 to 65,000 32 65,001 to 70,000 33 70,001 to 75,000 34 75,001 to 80,000 35 80,001 to 85,000 36 85,001 to 90,000 37 90,001 to 95,000 38 95,001 to 100,000 39 100,001 to 110,000 40 110,001 to 120,000 41 120,001 to 130,000 42 130,001 to 140,000 43 140,001 to 150,000 44 150,001 to 160,000 45 160,001 to 170,000 46 170,001 to 180,000 47 180,001 to 190,000 48 190,001 to 200,000 49 200,001 to 225,000 50 225,001 to 250,000 51 250,001 to 275,000 52 275,001 to 300,000 53 300,001 to 325,000 54 325,001 to 350,000 55 350,001 to 375,000 56 375,001 to 400,000 57 400,001 to 425,000 58 425,001 to 450,000 59 450,001 to 475,000 60 475,001 to 500,000 61 500,001 to 600,000 62 600,001 to 700,000 63 700,001 to 800,000 64 800,001 to 900,000 65 More than 900,000 99 NIU (not in universe) This variable indicates the area of agriculturally cultivated land the person owns or rents (in hectares). IPUMS Completed practical vocational training <svar v="DE70A451 DE70A452 DE70A453">For persons over 14 years<br />[Questions 31-32 were asked of persons over 14 years]<br /></svar></p> <p><svar a="all" v="DE70A451 DE70A452">31. Have you completed any practical vocational training? (Apprenticeship, on-the-job training, etc.)<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes, length in years: _____</div><br /></svar> Germany 1970: Persons age 15+ excluding foreigners [discrepancies: type I trace; type II 0.5%] 1 No 2 Yes 8 Unknown 9 NIU This variable indicates whether the person completed practical vocational training. IPUMS Years of practical vocational training completed <svar v="DE70A451 DE70A452 DE70A453">For persons over 14 years<br />[Questions 31-32 were asked of persons over 14 years]<br /></svar></p> <p><svar a="all" v="DE70A451 DE70A452">31. Have you completed any practical vocational training? (Apprenticeship, on-the-job training, etc.)<br /><div class="i1">[] No<br />[] Yes<br /><br />If yes, length in years: _____</div><br /></svar> Germany 1970: Persons who completed vocational training [discrepancies: type I trace; type II trace] 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of years of practical vocational training the person completed. IPUMS Completed technical school <svar v="DE70A454 DE70A455 DE70A456 DE70A457 DE70A458 DE70A459 DE70A460">For persons who completed a vocational school or university (also teacher training)<br />[Questions 33-36 were asked of persons who completed a vocational school or university]<br /></svar></p> <p>33. Which of the following schools did you attend and complete?</p> <div class="i1">(Not a compulsory part-time vocational school)<br /><br />[] School for technicians<br />[] Other full-time or advanced full-time vocational school<br />[] Engineering school<br />[] University (incl. teacher training)</div> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person completed the final exam for technical school. IPUMS Completed vocational school / professional school <svar v="DE70A454 DE70A455 DE70A456 DE70A457 DE70A458 DE70A459 DE70A460">For persons who completed a vocational school or university (also teacher training)<br />[Questions 33-36 were asked of persons who completed a vocational school or university]<br /></svar></p> <p>33. Which of the following schools did you attend and complete?</p> <div class="i1">(Not a compulsory part-time vocational school)<br /><br />[] School for technicians<br />[] Other full-time or advanced full-time vocational school<br />[] Engineering school<br />[] University (incl. teacher training)</div> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person completed the final exam for vocational or professional school. IPUMS Completed engineering school <svar v="DE70A454 DE70A455 DE70A456 DE70A457 DE70A458 DE70A459 DE70A460">For persons who completed a vocational school or university (also teacher training)<br />[Questions 33-36 were asked of persons who completed a vocational school or university]<br /></svar></p> <p>33. Which of the following schools did you attend and complete?</p> <div class="i1">(Not a compulsory part-time vocational school)<br /><br />[] School for technicians<br />[] Other full-time or advanced full-time vocational school<br />[] Engineering school<br />[] University (incl. teacher training)</div> Germany 1970: All persons 1 Yes 2 No This variable indicates whether a person completed the final exam for engineering school. IPUMS Completed university <svar v="DE70A454 DE70A455 DE70A456 DE70A457 DE70A458 DE70A459 DE70A460">For persons who completed a vocational school or university (also teacher training)<br />[Questions 33-36 were asked of persons who completed a vocational school or university]<br /></svar></p> <p>33. Which of the following schools did you attend and complete?</p> <div class="i1">(Not a compulsory part-time vocational school)<br /><br />[] School for technicians<br />[] Other full-time or advanced full-time vocational school<br />[] Engineering school<br />[] University (incl. teacher training)</div> Germany 1970: All persons 1 Yes 2 No This variable indicates whether the person completed university (completed the final exam or graduated). IPUMS Years of training <svar v="DE70A454 DE70A455 DE70A456 DE70A457 DE70A458 DE70A459 DE70A460">For persons who completed a vocational school or university (also teacher training)<br />[Questions 33-36 were asked of persons who completed a vocational school or university]<br /></svar></p> <p>33. Which of the following schools did you attend and complete?</p> <div class="i1">(Not a compulsory part-time vocational school)<br /><br />[] School for technicians<br />[] Other full-time or advanced full-time vocational school<br />[] Engineering school<br />[] University (incl. teacher training)</div><p>34. How many years did the entire education take at the schools mentioned [in question] 33 until the last level was completed?</p> <div class="i1">Number of years ____</div> Germany 1970: Persons who completed technical or vocational or engineering school or university [discrepancies: none] NIU (not in universe) 1 1 or less 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 This variable indicates the number of years of training the person had in technical or engineering school or university. IPUMS Year of graduation (completed level) <svar v="DE70A454 DE70A455 DE70A456 DE70A457 DE70A458 DE70A459 DE70A460">For persons who completed a vocational school or university (also teacher training)<br />[Questions 33-36 were asked of persons who completed a vocational school or university]<br /></svar></p> <p>33. Which of the following schools did you attend and complete?</p> <div class="i1">(Not a compulsory part-time vocational school)<br /><br />[] School for technicians<br />[] Other full-time or advanced full-time vocational school<br />[] Engineering school<br />[] University (incl. teacher training)</div><p>34. How many years did the entire education take at the schools mentioned [in question] 33 until the last level was completed?</p> <div class="i1">Number of years ____</div><p>35. Main branch of studies of last level completed? _____</p> <p>36. Year of completion of last level? 19 _ _ Germany 1970: Persons who completed technical or vocational or engineering school or university [discrepancies: none] 1901 1901 and earlier 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 9999 NIU (not in universe) This variable indicates the year of the person's most recent graduation (completed level). IPUMS Year of marriage <svar v="DE70A461 DE70A462">For married, widowed and divorced persons<br />[Questions 37-38 were asked of married, widowed and divorced persons]<br /></svar></p> <p><svar a="all" v="DE70A461">37. When was your present or last marriage contracted? 19 _ _<br /></svar> Germany 1970: Persons who are married, divorced or widowed excluding foreigners [discrepancies: type I none; type II trace] 1893 1893 and earlier 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 9998 Unknown 9999 NIU (not in universe) This variable indicates the year of the persons current or most recent marriage. IPUMS Previously married <svar v="DE70A461 DE70A462">For married, widowed and divorced persons<br />[Questions 37-38 were asked of married, widowed and divorced persons]<br /></svar></p> <p><svar a="all" v="DE70A462">38. Have you ever been married before?<br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Germany 1970: Persons who are married, divorced or widowed excluding foreigners [discrepancies: type I none; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether or not the person was previously married. IPUMS Ever gave birth <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females [discrepancies: type I none ; type II ] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person has ever borne children. IPUMS Year of birth of first child <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females who ever gave birth [discrepancies: type I trace; type II none] 1897 1897 and earlier 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 9999 NIU (not in universe) This variable indicates the year the person gave birth to her first child. IPUMS Year of birth of 2nd child <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females who gave birth to two or more children [discrepancies: none] 1899 1899 and earlier 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 9999 NIU (not in universe) This variable indicates the year of birth of the person's second child. IPUMS Year of birth of 3rd child <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females who gave birth to three or more children [discrepancies: type I trace; type II none] 1901 1901 and earlier 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 9999 NIU (not in universe) This variable indicates the year of birth of the person's third child. IPUMS Year of birth of 4th child <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females who gave birth to four or more children [discrepancies: type I trace; type II none] 1904 1904 and earlier 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 9999 NIU (not in universe) This variable indicates the year of birth of the person's fourth child. IPUMS Year of birth of 5th child <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females who ever birth to five or more children [discrepancies: type I trace; type II none] 1907 1907 and earlier 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 9999 NIU (not in universe) This variable indicates the year of birth of the person's fifth child. IPUMS Telephone <svar a="all" v="DE70A469">Private telephone in dwelling (no.) ____<br /></svar> Germany 1970: All persons 1 Yes 2 No This variable indicates whether or not the person's household has a telephone. IPUMS Age <svar a="all" v="DE70A404 DE70A474">2. Date of birth<br /><div class="i1">____ Day<br />____ Month<br />____ Year</div><br /></svar> Germany 1970: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 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 and older This variable indicates the person's age. IPUMS Number of children born alive <svar a="all" v="DE70A463 DE70A464 DE70A465 DE70A466 DE70A467 DE70A468 DE70A476">For women<br />[Question 39 was asked of women]<br /><br />39. Birth years of all legitimate children born alive<br /><div class="i1">[] No children<br /><br />1st child 19 _ _<br />2nd child 19 _ _<br />3rd child 19 _ _<br />4th child 19 _ _<br />5th child 19 _ _<br />6th child 19 _ _<br />7th child 19 _ _<br />8th child 19 _ _<br />9th child 19 _ _<br />10th child 19 _ _<br />11th child 19 _ _<br />12th child 19 _ _</div><br /></svar> Germany 1970: Females [discrepancies: Type I none ; type II 26.2%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 99 NIU (not in universe) This variable indicates the number of children born alive to the person. IPUMS Net-income extended (in Deutsche Mark) <svar a="all" v="DE70A446 DE70A478">26. What monthly net income do you derive from your economic activity?<br /><div class="i1">(Not to be answered by self-employed in agriculture and by unpaid family workers.)<br /><br />[] Under 300 DM<br />[] 300 to under 500 DM<br />[] 500 to under 800 DM<br />[] 800 to under 1,200 DM<br />[] 1,200 to under 1,800 DM<br />[] 1,800 to under 2,500 DM<br />[] 2,500 DM and more</div><br /></svar> Germany 1970: Economically active or military persons age 15+ [discrepancies: type I trace; type II none] 01 Under 300 02 300 to under 500 03 500 to under 800 04 800 to under 1200 05 1200 to under 1800 06 1800 to under 2500 07 2500 and more 08 Self-employed farmers 09 Unpaid family worker on farm 10 Unpaid family worker outside farm 11 Foreigner 99 NIU (not in universe) This variable indicates the person's net-income from their economic activity (in Deutsche Mark). IPUMS Expellee classifications <svar a="all" v="DE70A440 DE70A479">21. Do you have a Federal Expellee Identity Card or a Federal Refugee Identity Card? If so, which? <br /><div class="i1">[] Identity Card A<br />[] Identity Card B<br />[] Identity Card C</div><br /></svar> Germany 1970: All persons 1 Expellee ID Card A 2 Expellee ID card B 3 Expellee without ID card 4 Expellees from Soviet occupation zone without ID card C 5 Expellees from Soviet occupation zone with ID card C 6 Other German population 7 Foreigner This variable indicates the person's expellee classification. IPUMS