DDI_AUT_2011_PHC_v01_M_v7.5_A_IPUMS Population Census; Housing Census 2011 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. Population Census; Housing Census 2011 - IPUMS Subset PHC Austria 2011 (IPUMS Harmonized Subset) AUT_2011_PHC_v01_M_v7.5_A_IPUMS Statistics Austria IPUMS (c) Copyright 2011, Statistics Austria and Minnesota Population Center MetadataEditor Statistics Austria 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 Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Household Variables -- HOUSEHOLD Work: Industry Variables -- PERSON Other Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Technical Person Variables -- PERSON Migration: Global Variables -- PERSON Austria Eurostat NUTS3 region (Nomenclature of Territorial Units for Statistics) Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Structurally separate units with their own entrance from the street, or a stairwell in permanent buildings, that are suitable for residential purposes. Dwellings consist of one room or multiple rooms with ancillary rooms. It makes no difference whether a kitchen or kitchenette is present. - Households: All persons living in a dwelling or similar accommodation as their main residence form a private household. The size of the household therefore corresponds to the number of people with their main residence in the dwelling. Up to the 1991 Population Census, the housekeeping-unit concept was used, according to which all persons living together and jointly managing a household formed a private household. - Group quarters: An institutional household is an establishment that is used for the accommodation and care of a group of persons – normally over the longer term. The term covers boarding schools, student residences, senior citizen and nursing homes, monasteries, military barracks, penal institutions, refugee centres, facilities for disabled, socially deprived or homeless persons, homes for young people or trainees and similar institutions. In contrast to the 2001 Population Census, the 2011 register-based census also considers non-institutional forms of living together in collective living quarters (e.g. company accommodation, hotels, etc.) as institutional households.Solely main residence registrations are recorded. Because of secondary residence registrations, the actual occupancy of individual facilities may be higher. Population with a main residence in the territory Additional notes on a sample that is part of this study: Austria 2011 MICRODATA SOURCE: Statistics Austria SAMPLE SIZE (person records): 839501. SAMPLE DESIGN: Systematic sample of every 10th private household after a random start; 100% data of institutional households; drawn by Statistics Austria Face-to-face [f2f] None: register-based census. de jure, CENSUS DAY: October 31, 2011 Self-weighting. Expansion factor=10 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. Statistics Austria 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: Austria, Statistics Austria. Population Census; Housing Census 2011 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. AUT2011_PHC-H-H Household records 375 49 AUT2011_PHC-P-H Person records 839501 59 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. 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 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second 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. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 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. GEO2_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 Nomenclature of Territorial Units for Statistics 2, Europe 0111 AT11 / Burgenland 0112 AT12 / Niederösterreich 0113 AT13 / Wien 0121 AT21 / Kärnten 0122 AT22 / Steiermark 0131 AT31 / Oberösterreich 0132 AT32 / Salzburg 0133 AT33 / Tirol 0134 AT34 / Vorarlberg 0911 ES11 / Galicia 0912 ES12 / Principado de Asturias 0913 ES13 / Cantabria 0921 ES21 / País Vasco 0922 ES22 / Comunidad Foral de Navarra 0923 ES23 / La Rioja 0924 ES24 / Aragón 0930 ES30 / Comunidad de Madrid 0941 ES41 / Castilla y León 0942 ES42 / Castilla-La Mancha 0943 ES43 / Extremadura 0951 ES51 / Cataluña 0952 ES52 / Comunidad Valenciana 0953 ES53 / Illes Balears 0961 ES61 / Andalucía 0962 ES62 / Región de Murcia 0963 ES63 / Ciudad Autónoma de Ceuta 0964 ES64 / Ciudad Autónoma de Melilla 0970 ES70 / Canarias 0999 ES / Unknown 1110 FR10 / Île de France 1121 FR21 / Champagne-Ardenne 1122 FR22 / Picardie 1123 FR23 / Haute-Normandie 1124 FR24 / Centre 1125 FR25 / Basse-Normandie 1126 FR26 / Bourgogne 1130 FR30 / Nord-Pas-de-Calais 1141 FR41 / Lorraine 1142 FR42 / Alsace 1143 FR43 / Franche-Comté 1151 FR51 / Pays de la Loire 1152 FR52 / Bretagne 1153 FR53 / Poitou-Charentes 1161 FR61 / Aquitaine 1162 FR62 / Midi-Pyrénées 1163 FR63 / Limousin 1171 FR71 / Rhône-Alpes 1172 FR72 / Auvergne 1181 FR81 / Lanquedoc-Roussillon 1182 FR82 / Provence-Alpes-Côte d'Azur 1183 FR83 / Corse 1191 FR91 / Guadeloupe 1192 FR92 / Martinique 1193 FR93 / Guyane 1194 FR94 / Réunion 1199 FR99 / Unknown 1211 EL11 / Anatoliki Makedonia, Thraki 1212 EL12 / Kentriki Makedonia 1213 EL13 / Dytiki Makedonia 1214 EL14 / Thessalia 1221 EL21 / Ipeiros 1222 EL22 / Ionia Nisia 1223 EL23 / Dytiki Ellada 1224 EL24 / Sterea Ellada 1225 EL25 / Peloponnisos 1230 EL30 / Attiki 1241 EL41 / Voreio Aigaio 1242 EL42 / Notio Aigaio 1243 EL43 / Kriti 1401 IE01 / Border, Midland and Western 1402 IE02 / Southern and Eastern 1531 ITC1 / Piemonte + ITC2 / Valle d'Aosta 1533 ITC3 / Liguria 1534 ITC4 /Lombardia 1561 ITF1 / Abruzzo 1562 ITF2 / Molise 1563 ITF3 / Campania 1564 ITF4 / Puglia 1565 ITF5 / Basilicata 1566 ITF6 / Calabria 1571 ITG1 / Sicilia 1572 ITG2 / Sardegna 1581 ITH1 / Bolzano-Bozen + ITH2 / Trento 1583 ITH3 / Veneto 1584 ITH4 / Friuli-Venezia Giulia 1585 ITH5 / Emilia-Romagna 1591 ITI1 / Toscana 1592 ITI2 / Umbria 1593 ITI3 / Marche 1594 ITI4 / Lazio 2111 PL11 / Łódzkie 2112 PL12 / Mazowieckie 2121 PL21 / Małopolskie 2122 PL22 / Śląskie 2131 PL31 / Lubelskie 2132 PL32 / Podkarpackie 2133 PL33 / Świętokrzyskie 2134 PL34 / Podlaskie 2141 PL41 / Wielkopolskie 2142 PL42 / Zachodniopomorskie 2143 PL43 / Lubuskie 2151 PL51 / Dolnośląskie 2152 PL52 / Opolskie 2161 PL61 / Kujawsko-Pomorskie 2162 PL62 / Warmińsko-Mazurskie 2163 PL63 / Pomorskie 2211 PT11 / Norte 2215 PT15 / Algarve 2216 PT16 / Centro (P) 2217 PT17 / Lisboa 2218 PT18 / Alentejo 2220 PT20 / Região Autónoma dos Açores 2230 PT30 / Região Autónoma da Madeira 2311 RO11 / Nord-Vest 2312 RO12 / Centru 2321 RO21 / Nord-Est 2322 RO22 / Sud-Est 2331 RO31 / Sud - Muntenia 2332 RO32 / Bucuresti - Ilfov 2341 RO41 / Sud-Vest Oltenia 2342 RO42 / Vest 2501 SI01 / Vzhodna Slovenija 2502 SI02 / Zahodna Slovenija 2599 SI / Unknown 2601 SK01 / Bratislavský kraj 2602 SK02 / Západné Slovensko 2603 SK03 / Stredné Slovensko 2604 SK04 / Východné Slovensko 3401 CH01 / Région Lémanique 3402 CH02 / Espace Mittelland 3403 CH03 / Nordwestschweiz 3404 CH04 / Zurich 3405 CH05 / Ostschweiz 3406 CH06 / Zentralschweiz 3407 CH07 / Ticino 3910 TR10 / Istanbul 3921 TR21 / Tekirdag, Edirne, Kirklareli 3922 TR22 / Balikesir, Çanakkale 3931 TR31 / Izmir 3932 TR32 / Aydin, Denizli, Mugla 3933 TR33 / Manisa, Afyonkarahisar, Kütahya, Usak 3941 TR41 / Bursa, Eskisehir, Bilecik 3942 TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova 3951 TR51 / Ankara 3952 TR52 / Konya, Karaman 3961 TR61 / Antalya, Isparta, Burdur 3962 TR62 / Adana, Mersin 3963 TR63 / Hatay, Kahramanmaras, Osmaniye 3971 TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir 3972 TR72 / Kayseri, Sivas, Yozgat 3981 TR81 / Zonguldak, Karabük, Bartin 3982 TR82 / Kastamonu, Çankiri, Sinop 3983 TR83 / Samsun, Tokat, Çorum, Amasya 3990 TR90 / Trabzon 3991 TRA1 / Erzurum, Erzincan, Bayburt 3992 TRA2 / Agri, Kars, Igdir, Ardahan 3993 TRB1 / Malatya, Elazig, Bingöl, Tunceli 3994 TRB2 / Van, Mus, Bitlis, Hakkari 3995 TRC1 / Gaziantep, Adiyaman, Kilis 3996 TRC2 / Sanliurfa, Diyarbakir 3997 TRC3 / Mardin, Batman, Sirnak, Siirt ENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second 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. ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat. The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash. 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 Nomenclature of Territorial Units for Statistics 3, Europe 01111 AT111 / Mittelburgenland + AT113 / Südburgenland 01112 AT112 / Nordburgenland 01121 AT121 / Mostviertel-Eisenwurzen 01122 AT122 / Niederösterreich-Süd 01123 AT123 / Sankt Pölten 01124 AT124 / Waldviertel 01125 AT125 / Weinviertel 01126 AT126 / Wiener Umland/Nordteil 01127 AT127 / Wiener Umland/Südteil 01130 AT130 / Wien 01211 AT211 / Klagenfurt-Villach 01212 AT212 / Oberkärnten 01213 AT213 / Unterkärnten 01221 AT221 / Graz 01222 AT222 / Liezen 01223 AT223 / Östliche Obersteiermark 01224 AT224 / Oststeiermark 01225 AT225 / West- und Südsteiermark 01226 AT226 / Westliche Obersteiermark 01311 AT311 / Innviertel 01312 AT312 / Linz-Wels 01313 AT313 / Mühlviertel 01314 AT314 / Steyr-Kirchdorf 01315 AT315 / Traunviertel 01321 AT321 / Lungau + AT322 / Pinzgau-Pongau 01323 AT323 / Salzburg und Umgebung 01331 AT331 / Außerfern + AT334 / Tiroler Oberland 01332 AT332 / Innsbruck 01333 AT333 / Osttirol + AT335 / Tiroler Unterland 01341 AT341 / Bludenz-Bregenzer Wald 01342 AT342 / Rheintal-Bodenseegebiet 09111 ES111 / A Coruña 09112 ES112 / Lugo 09113 ES113 / Ourense 09114 ES114 / Pontevedra 09120 ES120 / Asturias 09130 ES130 / Cantabria 09211 ES211 / Álava 09212 ES212 / Guipúzcoa 09213 ES213 / Vizcaya 09220 ES220 / Navarra 09230 ES230 / La Rioja 09241 ES241 / Huesca 09242 ES242 / Teruel 09243 ES243 / Zaragoza 09300 ES300 / Madrid 09411 ES411 / Ávila 09412 ES412 / Burgos 09413 ES413 / León 09414 ES414 / Palencia 09415 ES415 / Salamanca 09416 ES416 / Segovia 09417 ES417 / Soria 09418 ES418 / Valladolid 09419 ES419 / Zamora 09421 ES421 / Albacete 09422 ES422 / Ciudad Real 09423 ES423 / Cuenca 09424 ES424 / Guadalajara 09425 ES425 / Toledo 09431 ES431 / Badajoz 09432 ES432 / Cáceres 09511 ES511 / Barcelona 09512 ES512 / Girona 09513 ES513 / Lleida 09514 ES514 / Tarragona 09521 ES521 / Alicante/Alacant 09522 ES522 / Castellón/Castelló 09523 ES523 / Valencia/València 09532 ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera 09611 ES611 / Almería 09612 ES612 / Cádiz 09613 ES613 / Córdoba 09614 ES614 / Granada 09615 ES615 / Huelva 09616 ES616 / Jaén 09617 ES617 / Málaga 09618 ES618 / Sevilla 09620 ES620 / Murcia 09630 ES630 / Ceuta 09640 ES640 / Melilla 09705 ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote 09709 ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro 09999 ES / Unknown 12111 EL111 / Evros 12112 EL112 / Xanthi 12113 EL113 / Rodopi 12114 EL114 / Drama 12115 EL115 / Kavala 12121 EL121 / Imathia 12122 EL122 / Thessaloniki 12123 EL123 / Kilkis 12124 EL124 / Pella 12125 EL125 / Pieria 12126 EL126 / Serres 12127 EL127 / Chalkidiki and Aghion Oros 12131 EL131 / Grevena 12132 EL132 / Kastoria 12133 EL133 / Kozani 12134 EL134 / Florina 12141 EL141 / Karditsa 12142 EL142 / Larisa 12143 EL143 / Magnisia 12144 EL144 / Trikala 12211 EL211 / Arta 12212 EL212 / Thesprotia 12213 EL213 / Ioannina 12214 EL214 / Preveza 12221 EL221 / Zakynthos 12222 EL222 / Kerkyra 12223 EL223 / Kefallinia 12224 EL224 / Lefkada 12231 EL231 / Aitoloakarnania 12232 EL232 / Achaia 12233 EL233 / Ilia 12241 EL241 / Voiotia 12242 EL242 / Evvoia 12243 EL243 / Evrytania 12244 EL244 / Fthiotida 12245 EL245 / Fokida 12251 EL251 / Argolida 12252 EL252 / Arkadia 12253 EL253 / Korinthia 12254 EL254 / Lakonia 12255 EL255 / Messinia 12300 EL300 / Attiki 12411 EL411 / Lesvos 12412 EL412 / Samos 12413 EL413 / Chios 12421 EL421 / Dodekanissos 12422 EL422 / Kyklades 12431 EL431 / Iraklio 12432 EL432 / Lasithi 12433 EL433 / Rethymni 12434 EL434 / Chania 14011 IE011 / Border 14012 IE012 / Midlands 14013 IE013 / West 14021 IE021 / Dublin 14022 IE022 / Mid-East 14023 IE023 / Mid-West 14024 IE024 / South-East 14025 IE025 / South-West 15311 ITC11 / Torino 15312 ITC12 / Vercelli 15313 ITC13 / Biella 15314 ITC14 / Verbano-Cusio-Ossola 15315 ITC15 / Novara 15316 ITC16 / Cuneo 15317 ITC17 / Asti 15318 ITC18 / Alessandria 15320 ITC20 / Aosta 15331 ITC31 / Imperia 15332 ITC32 / Savona 15333 ITC33 / Genova 15334 ITC34 / La Spezia 15341 ITC41 / Varese 15342 ITC42 / Como 15343 ITC43 / Lecco 15344 ITC44 / Sondrio 15346 ITC46 / Bergamo 15347 ITC47 / Brescia 15348 ITC48 / Pavia 15349 ITC49 / Lodi 15350 ITC4A / Cremona 15351 ITC4B / Mantova 15352 ITC4C / Milano 15353 ITC4D / Monza e della Brianza 15611 ITF11 / L'Aquila 15612 ITF12 / Teramo 15613 ITF13 / Pescara 15614 ITF14 / Chieti 15621 ITF21 / Isernia 15622 ITF22 / Campobasso 15631 ITF31 / Caserta 15632 ITF32 / Benevento 15633 ITF33 / Napoli 15634 ITF34 / Avellino 15635 ITF35 / Salerno 15643 ITF43 / Taranto 15644 ITF44 / Brindisi 15645 ITF45 / Lecce 15646 ITF46 / Foggia 15647 ITF47 / Bari 15648 ITF48 / Barletta-Andria-Trani 15651 ITF51 / Potenza 15652 ITF52 / Matera 15661 ITF61 / Cosenza 15662 ITF62 / Crotone 15663 ITF63 / Catanzaro 15664 ITF64 / Vibo Valentia 15665 ITF65 / Reggio di Calabria 15711 ITG11 / Trapani 15712 ITG12 / Palermo 15713 ITG13 / Messina 15714 ITG14 / Agrigento 15715 ITG15 / Caltanissetta 15716 ITG16 / Enna 15717 ITG17 / Catania 15718 ITG18 / Ragusa 15719 ITG19 / Siracusa 15733 Sud Sardegna 15725 ITG25 / Sassari 15726 ITG26 / Nuoro 15727 ITG27 / Cagliari 15728 ITG28 / Oristano 15729 ITG29 / Olbia-tempio 15730 ITG2A / Ogliastra 15731 ITG2B / Medio-campidano 15732 ITG2C / Carbonia-Iglesias 15810 ITH10 / Bolzano-Bozen 15820 ITH20 / Trento 15831 ITH31 / Verona 15832 ITH32 / Vicenza 15833 ITH33 / Belluno 15834 ITH34 / Treviso 15835 ITH35 / Venezia 15836 ITH36 / Padova 15837 ITH37 / Rovigo 15841 ITH41 / Pordenone 15842 ITH42 / Udine 15843 ITH43 / Gorizia 15844 ITH44 / Trieste 15851 ITH51 / Piacenza 15852 ITH52 / Parma 15853 ITH53 / Reggio nell'Emilia 15854 ITH54 / Modena 15855 ITH55 / Bologna 15856 ITH56 / Ferrara 15857 ITH57 / Ravenna 15858 ITH58 / Forlì-Cesena 15859 ITH59 / Rimini 15911 ITI11 / Massa-Carrara 15912 ITI12 / Lucca 15913 ITI13 / Pistoia 15914 ITI14 / Firenze 15915 ITI15 / Prato 15916 ITI16 / Livorno 15917 ITI17 / Pisa 15918 ITI18 / Arezzo 15919 ITI19 / Siena 15920 ITI1A / ELosseto 15921 ITI21 / Perugia 15922 ITI22 / Terni 15931 ITI31 / Pesaro e Urbino 15932 ITI32 / Ancona 15933 ITI33 / Macerata 15934 ITI34 / Ascoli Piceno 15935 ITI35 / Fermo 15941 ITI41 / Viterbo 15942 ITI42 / Rieti 15943 ITI43 / Roma 15944 ITI44 / Latina 15945 ITI45 / Frosinone 22111 PT111 / Minho-Lima 22112 PT112 / Cávado 22113 PT113 / Ave 22114 PT114 / ELande Porto 22115 PT115 / Tâmega 22116 PT116 / Entre Douro e Vouga 22117 PT117 / Douro 22118 PT118 / Alto Trás-os-Montes 22150 PT150 / Algarve 22161 PT161 / Baixo Vouga 22162 PT162 / Baixo Mondego 22163 PT163 / Pinhal Litoral 22165 PT165 / Dão-Lafões 22166 PT16B / Oeste 22167 PT16C / Médio Tejo 22169 PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira 22171 PT171 / Grande Lisboa 22172 PT172 / Península de Setúbal 22185 PT185 / Lezíria do Tejo 22189 PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo 22200 PT200 / Região Autónoma dos Açores 22300 PT300 / Região Autónoma da Madeira 23111 RO111 / Bihor 23112 RO112 / Bistrita Nasaud 23113 RO113 / Cluj 23114 RO114 / Maramures 23115 RO115 / Satu Mare 23116 RO116 / Salaj 23121 RO121 / Alba 23122 RO122 / Brasov 23123 RO123 / Covasna 23124 RO124 / Harghita 23125 RO125 / Mures 23126 RO126 / Sibiu 23211 RO211 / Bacau 23212 RO212 / Botosani 23213 RO213 / Iasi 23214 RO214 / Neamt 23215 RO215 / Suceava 23216 RO216 / Vaslui 23221 RO221 / Braila 23222 RO222 / Buzau 23223 RO223 / Constanta 23224 RO224 / Galati 23225 RO225 / Tulcea 23226 RO226 / Vrancea 23311 RO311 / Arges 23312 RO312 / Calarasi 23313 RO313 / Dimbovita 23314 RO314 / Giurgiu 23315 RO315 / Ialomita 23316 RO316 / Prahova 23317 RO317 / Teleorman 23321 RO321 / Bucuresti 23322 RO322 / Ilfov 23411 RO411 / Dolj 23412 RO412 / Gorj 23413 RO413 / Mehedinti 23414 RO414 / Olt 23415 RO415 / Valcea 23421 RO421 / Arad 23422 RO422 / Caras Severin 23423 RO423 / Hunedoara 23424 RO424 / Timis 25011 SI011 / Pomurska 25012 SI012 / Podravska 25013 SI013 / Koroka 25014 SI014 / Savinjska 25015 SI015 / Zasavska 25016 SI016 / Spodnjeposavska 25017 SI017 / Jugovzhodna Slovenija 25018 SI018 / Notranjsko-kraka 25021 SI021 / Osrednjeslovenska 25022 SI022 / Gorenjska 25023 SI023 / Gorika 25024 SI024 / Obalno-kraka 25999 SI / Unknown 26010 SK010 / Bratislavský kraj 26021 SK021 / Trnavský kraj 26022 SK022 / Trenčiansky kraj 26023 SK023 / Nitriansky kraj 26031 SK031 / Žilinský kraj 26032 SK032 / Banskobystrický kraj 26041 SK041 / Prešovský kraj 26042 SK042 / Košický kraj 34011 CH011 / Vaud 34012 CH012 / Valais 34013 CH013 / Geneva 34021 CH021 / Bern 34022 CH022 / Freiburg 34023 CH023 / Solothurn 34024 CH024 / Neuchatel 34025 CH025 / Jura 34031 CH031 / Basel-Stadt 34032 CH032 / Basel-Landschaft 34033 CH033 / Aargau 34040 CH040 / Zurich 34051 CH051 / Glarus 34052 CH052 / Schaffhausen 34053 CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden 34055 CH055 / St. Gallen 34056 CH056 / Graubundun 34057 CH057 / Thurgau 34061 CH061 / Luzern 34062 CH062 / Uri 34063 CH063 / Schwyz 34064 CH064 / Obwalden 34065 CH065 / Nidwalden 34066 CH066 / Zug 34070 CH070 / Ticino 39100 TR100 / Istanbul 39211 TR211 / Tekirdag 39212 TR212 / Edirne 39213 TR213 / Kirklareli 39221 TR221 / Balikesir 39222 TR222 / Çanakkale 39310 TR310 / Izmir 39321 TR321 / Aydin 39322 TR322 / Denizli 39323 TR323 / Mugla 39331 TR331 / Manisa 39332 TR332 / Afyon 39333 TR333 / Kütahya 39334 TR334 / Usak 39411 TR411 / Bursa 39412 TR412 / Eskisehir 39413 TR413 / Bilecik 39421 TR421 / Kocaeli 39422 TR422 / Sakarya 39423 TR423 / Düzce 39424 TR424 / Bolu 39425 TR425 / Yalova 39510 TR510 / Ankara 39521 TR521 / Konya 39522 TR522 / Karaman 39611 TR611 / Antalya 39612 TR612 / Isparta 39613 TR613 / Burdur 39621 TR621 / Adana 39622 TR622 / Içel (Mersin) 39631 TR631 / Hatay 39632 TR632 / Kahramanmaras 39633 TR633 / Osmaniye 39711 TR711 / Kirikkale 39712 TR712 / Aksaray 39713 TR713 / Nigde 39714 TR714 / Nevsehir 39715 TR715 / Kirsehir 39721 TR721 / Kayseri 39722 TR722 / Sivas 39723 TR723 / Yozgat 39811 TR811 / Zonguldak 39812 TR812 / Karabük 39813 TR813 / Bartin 39821 TR821 / Kastamonu 39822 TR822 / Çankiri 39823 TR823 / Sinop 39831 TR831 / Samsun 39832 TR832 / Tokat 39833 TR833 / Çorum 39834 TR834 / Amasya 39901 TR901 / Trabzon 39902 TR902 / Ordu 39903 TR903 / Giresun 39904 TR904 / Rize 39905 TR905 / Artvin 39906 TR906 / Gümüshane 39910 TRA11 / Erzurum 39911 TRA12 / Erzincan 39912 TRA13 / Bayburt 39921 TRA21 / Agri 39922 TRA22 / Kars 39923 TRA23 / Igdir 39924 TRA24 / Ardahan 39931 TRB11 / Malatya 39932 TRB12 / Elazig 39933 TRB13 / Bingöl 39934 TRB14 / Tunceli 39941 TRB21 / Van 39942 TRB22 / Mus 39943 TRB23 / Bitlis 39944 TRB24 / Hakkari 39951 TRC11 / Gaziantep 39952 TRC12 / Adiyaman 39953 TRC13 / Kilis 39961 TRC21 / Sanliurfa 39962 TRC22 / Diyarbakir 39971 TRC31 / Mardin 39972 TRC32 / Batman 39973 TRC33 / Sirnak 39974 TRC34 / Siirt ENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third 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. ENUTS3 corresponds to the 2010 version of NUTS3 released by Eurostat. The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash. 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 Nomenclature of Territorial Units for Statistics 1, 2013 codes, Europe 04001 AT1 / Ostösterreich 04002 AT2 / Sudösterreich 04003 AT3 / Westösterreich 72401 ES1 / Noroeste 72402 ES2 / Noreste 72403 ES3 / Comunidad de Madrid 72404 ES4 / Centro 72405 ES5 / Este 72406 ES6 / Sur 72407 ES7 / Canarias 72409 ES / Unknown 25001 FR1 / Île-de-France 25002 FRB / Centre - Val de Loire 25003 FRC / Bourgogne-Franche-Comté 25004 FRD / Normandie 25005 FRE / Nord-Pas de Calais-Picardie 25006 FRF / Alsace-Champagne-Ardenne-Lorraine 25007 FRG / Pays de la Loire 25008 FRH / Bretagne 25009 FRI / Aquitaine-Limousin-Poitou-Charentes 25010 FRJ / Languedoc-Roussillon-Midi-Pyrénées 25011 FRK / Auvergne-Rhône-Alpes 25012 FRL / Provence-Alpes-Côte d'Azur 25013 FRM / Corse 25025 FRY / RUP FR-Régions Ultrapèriphèrique Françaises 25099 FR9 / Unknown 30003 EL3 / Attica 30004 EL4 / Aegean Islands Crete 30005 EL5 / Northern Greece 30006 EL6 / Central Greece 37200 IE0 / Ireland 38003 ITC / Nord-Ovest 38006 ITF / Sud 38007 ITG / Isole 38008 ITH / Nord-Est 38009 ITI / Centro 61602 PL2 / Makroregion Południowy 61604 PL4 / Makroregion Północno-Zachodni 61605 PL5 / Makroregion Południowo-Zachodni 61606 PL6 / Makroregion Północny 61607 PL7 / Makroregion Centralny 61608 PL8 / Makroregion Wschodni 61609 PL9 / Makroregion Województwo Mazowieckie 62001 PT1 / Continente 62002 PT2 / Região Autónoma dos Açores 62003 PT3 / Região Autónoma da Madeira 64201 RO1 / Macroreguinea Unu 64202 RO2 / Macroreguinea Doi 64203 RO3 / Macroreguinea Trei 64204 RO4 / Macroreguinea Patru 70300 SK0 / Slovensko 75600 CH0 / Switzerland ENUTS1_2013 is the third regular amendment to the annexes to the ENUTS1 classification. ENUTS1_2013 was enforced on 31 December 2013 and was applied from 1 January 2015. ENUTS1_2013 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 (e.g. Turkey), and they are also incorporated into this variable. The first 3-digits of ENUTS1_2013 variable provide the COUNTRY code followed by the 2-digit NUTS1 code. The labels include the standard code for the NUTS1 (2013) system and the name of the NUTS1 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS2_2013 and ENUTS3_2013. 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 Nomenclature of Territorial Units for Statistics 2, 2013 codes, Europe 040011 AT11 / Burgenland 040012 AT12 / Niederösterreich 040013 AT13 / Wien 040021 AT21 / Kärnten 040022 AT22 / Steiermark 040031 AT31 / Oberösterreich 040032 AT32 / Salzburg 040033 AT33 / Tirol 040034 AT34 / Vorarlberg 724011 ES11 / Galicia 724012 ES12 / Principado de Asturias 724013 ES13 / Cantabria 724021 ES21 / País Vasco 724022 ES22 / Comunidad Foral de Navarra 724023 ES23 / La Rioja 724024 ES24 / Aragón 724030 ES30 / Comunidad de Madrid 724041 ES41 / Castilla y León 724042 ES42 / Castilla-La Mancha 724043 ES43 / Extremadura 724051 ES51 / Cataluña 724052 ES52 / Comunidad Valenciana 724053 ES53 / Illes Balears 724061 ES61 / Andalucía 724062 ES62 / Región de Murcia 724063 ES63 / Ciudad Autónoma de Ceuta 724064 ES64 / Ciudad Autónoma de Melilla 724070 ES70 / Canarias 724099 ES / Unknown 250010 FR10 / Île-de-France 250020 FRB0 / Centre - Val de Loire 250031 FRC1 / Bourgogne 250032 FRC2 / Franche-Comté 250041 FRD1 / Basse-Normandie 250042 FRD2 / Haute-Normandie 250051 FRE1 / Nord-Pas de Calais 250052 FRE2 / Picardie 250061 FRF1 / Alsace 250062 FRF2 / Champagne-Ardenne 250063 FRF3 / Lorraine 250070 FRG0 / Pays de la Loire 250080 FRH0 / Bretagne 250091 FRI1 / Aquitaine 250092 FRI2 / Limousin 250093 FRI3 / Poitou-Charentes 250101 FRJ1 / Languedoc-Roussillon 250102 FRJ2 / Midi-Pyrénées 250111 FRK1 / Auvergne 250112 FRK2 / Rhône-Alpes 250131 FRL1 / Provence-Alpes-Côte d'Azur 250140 FRM0 / Corse 250251 FRY1 / Guadeloupe 250252 FRY2 / Martinique 250253 FRY3 / Guyane 250254 FRY4 / La Réunion 250255 FRY5 / Mayotte 250999 FR99 / Unknown 300030 EL30 / Attica 300041 EL41 / Northern Aegean 300042 EL42 / Southern Aegean 300043 EL43 / Crete 300051 EL51 / East Macedonia, Thrace 300052 EL52 / Central Macedonia 300053 EL53 / West Macedonia 300054 EL54 / Epirus 300061 EL61 / Thessalia 300062 EL62 / Ionian Islands 300063 EL63 / Western Greece 300064 EL64 / Central Greece 300065 EL65 / Pelopponese 372004 IE04 / Northern and Western 372005 IE05 / Southern 372006 IE06 / Eastern and Midland 380031 ITC1 / Piemonte + ITC2 / Valle d'Aosta/Vallée d'Aoste 380033 ITC3 / Liguria 380034 ITC4 / Lombardia 380061 ITF1 / Abruzzo 380062 ITF2 / Molise 380063 ITF3 / Campania 380064 ITF4 / Puglia 380065 ITF5 / Basilicata 380066 ITF6 / Calabria 380071 ITG1 / Sicilia 380072 ITG2 / Sardegna 380081 ITH1 / Provincia Autonoma di Bolzano/Bozen + ITH2 / Provincia Autonoma di Trento 380083 ITH3 / Veneto 380084 ITH4 / Friuli-Venezia Giulia 380085 ITH5 / Emilia-Romagna 380091 ITI1 / Toscana 380092 ITI2 / Umbria 380093 ITI3 / Marche 380094 ITI4 / Lazio 616021 PL21 / Małopolskie 616022 PL22 / Śląskie 616041 PL41 / Wielkopolskie 616042 PL42 / Zachodniopomorskie 616043 PL43 / Lubuskie 616051 PL51 / Dolnośląskie 616052 PL52 / Opolskie 616061 PL61 / Kujawsko-pomorskie 616062 PL62 / Warmińsko-mazurskie 616063 PL63 / Pomorskie 616071 PL71 / Łódzkie 616072 PL72 / Świętokrzyskie 616081 PL81 / Lubelskie 616082 PL82 / Podkarpackie 616084 PL84 / Podlaskie 616091 PL91 / Warszawski stołeczny + PL92 / Mazowieckie regionalny 620011 PT11 / Norte 620015 PT15 / Algarve 620017 PT17 / Área Metropolitana de Lisboa + PT16 / Centro 620018 PT18 / Alentejo 620020 PT20 / Região Autónoma dos Açores 620030 PT30 / Região Autónoma da Madeira 642011 RO11 / Nord-Vest 642012 RO12 / Centru 642021 RO21 / Nord-Est 642022 RO22 / Sud-Est 642031 RO31 / Sud-Muntenia 642032 RO32 / Bucharești-Ilfov 642041 RO41 / Sud-Vest Oltenia 642042 RO42 / Vest 703001 SK01 / Bratislavský kraj 703002 SK02 / Západné Slovensko 703003 SK03 / Stredné Slovensko 703004 SK04 / Východné Slovensko 756001 CH01 / Région Lémanique 756002 CH02 / Espace Mittelland 756003 CH03 / Nordwestschweiz 756004 CH04 / Zurich 756005 CH05 / Ostschweiz 756006 CH06 / Zentralschweiz 756007 CH07 / Ticino ENUTS2_2013 is the third regular amendment to the annexes to the ENUTS2 classification. ENUTS2_2013 was enforced on 31 December 2013 and was applied from 1 January 2015. ENUTS2_2013 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second 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 (e.g. Turkey), and they are also incorporated into this variable. The first 3-digits of ENUTS2_2013 variable provide the COUNTRY code followed by the 3-digit NUTS2 code. The labels include the standard code for the NUTS1 (2013) system and the name of the NUTS2 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS3_2013. Larger sub-national units are available for most countries in ENUTS1_2013. 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 Nomenclature of Territorial Units for Statistics 3, 2013 codes, Europe 0400111 AT111 / Mittelburgenland + AT113 / Südburgenland 0400112 AT112 / Nordburgenland 0400121 AT121 / Mostviertel-Eisenwurzen 0400122 AT122 / Niederösterreich-Süd 0400123 AT123 / Sankt Pölten 0400124 AT124 / Waldviertel 0400125 AT125 / Weinviertel 0400126 AT126 / Wiener Umland/Nordteil 0400127 AT127 / Wiener Umland/Südteil 0400130 AT130 / Wien 0400211 AT211 / Klagenfurt-Villach 0400212 AT212 / Oberkärnten 0400213 AT213 / Unterkärnten 0400221 AT221 / Graz 0400222 AT222 / Liezen 0400223 AT223 / Östliche Obersteiermark 0400224 AT224 / Oststeiermark 0400225 AT225 / West- und Südsteiermark 0400226 AT226 / Westliche Obersteiermark 0400311 AT311 / Innviertel 0400312 AT312 / Linz-Wels 0400313 AT313 / Mühlviertel 0400314 AT314 / Steyr-Kirchdorf 0400315 AT315 / Traunviertel 0400321 AT321 / Lungau + AT322 / Pinzgau-Pongau 0400323 AT323 / Salzburg und Umgebung 0400331 AT331 / Außerfern + AT334 / Tiroler Oberland 0400332 AT332 / Innsbruck 0400333 AT333 / Osttirol + AT335 / Tiroler Unterland 0400341 AT341 / Bludenz-Bregenzer Wald 0400342 AT342 / Rheintal-Bodenseegebiet 7240111 ES111 / A Coruña 7240112 ES112 / Lugo 7240113 ES113 / Ourense 7240114 ES114 / Pontevedra 7240120 ES120 / Asturias 7240130 ES130 / Cantabria 7240211 ES211 / Araba/Álava 7240212 ES212 / Gipuzkoa 7240213 ES213 / Bizkaia 7240220 ES220 / Navarra 7240230 ES230 / Rioja (La) 7240241 ES241 / Huesca 7240242 ES242 / Teruel 7240243 ES243 / Zaragoza 7240300 ES300 / Madrid 7240411 ES411 / Ávila 7240412 ES412 / Burgos 7240413 ES413 / León 7240414 ES414 / Palencia 7240415 ES415 / Salamanca 7240416 ES416 / Segovia 7240417 ES417 / Soria 7240418 ES418 / Valladolid 7240419 ES419 / Zamora 7240421 ES421 / Albacete 7240422 ES422 / Ciudad Real 7240423 ES423 / Cuenca 7240424 ES424 / Guadalajara 7240425 ES425 / Toledo 7240431 ES431 / Badajoz 7240432 ES432 / Cáceres 7240511 ES511 / Barcelona 7240512 ES512 / Girona 7240513 ES513 / Lleida 7240514 ES514 / Tarragona 7240521 ES521 / Alicante/Alacant 7240522 ES522 / Castellón/Castelló 7240523 ES523 / Valencia/València 7240532 ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera 7240611 ES611 / Almería 7240612 ES612 / Cádiz 7240613 ES613 / Córdoba 7240614 ES614 / Granada 7240615 ES615 / Huelva 7240616 ES616 / Jaén 7240617 ES617 / Málaga 7240618 ES618 / Sevilla 7240620 ES620 / Murcia 7240630 ES630 / Ceuta 7240640 ES640 / Melilla 7240705 ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote 7240709 ES709 / Santa Cruz de Tenerife + ES703 / El Hierro + ES706 / La Gomera + ES707 / La Palma 7240999 ES999 / Unknown 3000303 EL303 / Central Athens Regional Unit + EL301 / North Athens Regional Unit + EL302 / West Athens Regional Unit + EL304 / South Athens Regional Unit 3000305 EL305 / Prefecture of East Attiki 3000306 EL306 / Prefecture of West Attiki 3000307 EL307 / Piereas, Nisoi 3000411 EL411 / Lesvos, Lemnos 3000412 EL412 / Icaria, Samos 3000413 EL413 / Chios 3000421 EL421 / Kalymnos, Karpathos, Kos, Rhodos 3000422 EL422 / Andros, Thira, Kea, Milos, Mykonos, Naxos, Paros, Syros, Tinos 3000431 EL431 / Iraklio 3000432 EL432 / Lassithi 3000433 EL433 / Rethymno 3000434 EL434 / Chania 3000511 EL511 / Evros 3000512 EL512 / Xanthi 3000513 EL513 / Rodopi 3000514 EL514 / Drama 3000515 EL515 / Thasos, Kavala 3000521 EL521 / Imathia 3000522 EL522 / Thessaloniki 3000523 EL523 / Kilkis 3000524 EL524 / Pella 3000525 EL525 / Pieria 3000526 EL526 / Serres 3000527 EL527 / Chalkidiki 3000531 EL531 / Grevena, Kozani 3000532 EL532 / Kastoria 3000533 EL533 / Florina 3000541 EL541 / Arta, Preveza 3000542 EL542 / Thesprotia 3000543 EL543 / Ioannina 3000611 EL611 / Karditsa, Trikala 3000612 EL612 / Larissa 3000613 EL613 / Magnissia, Sporades 3000621 EL621 / Zakynthos 3000622 EL622 / Kerkyra 3000623 EL623 / Ithaca, Kefallinia 3000624 EL624 / Lefkada 3000631 EL631 / Etolia and Akarnania 3000632 EL632 / Achaia 3000633 EL633 / Ilia 3000641 EL641 / Viotia 3000642 EL642 / Evia, Euboea 3000643 EL643 / Evrytania 3000644 EL644 / Fthiotida 3000645 EL645 / Fokida 3000651 EL651 / Argolida, Arkadia 3000652 EL652 / Korinthia 3000653 EL653 / Lakonia, Messenia 3720041 IE041 / Border 3720042 IE042 / West 3720051 IE051 / Mid-West 3720052 IE052 / South-East 3720053 IE053 / South-West 3720061 IE061 / Dublin 3720062 IE062 / Mid-East 3720063 IE063 / Midlands 3800311 ITC11 / Torino 3800312 ITC12 / Vercelli 3800313 ITC13 / Biella 3800314 ITC14 / Verbano-Cusio-Ossola 3800315 ITC15 / Novara 3800316 ITC16 / Cuneo 3800317 ITC17 / Asti 3800318 ITC18 / Alessandria 3800320 ITC20 / Valle d'Aosta/Vallée d'Aoste 3800331 ITC31 / Imperia 3800332 ITC32 / Savona 3800333 ITC33 / Genova 3800334 ITC34 / La Spezia 3800341 ITC41 / Varese 3800342 ITC42 / Como 3800343 ITC43 / Lecco 3800344 ITC44 / Sondrio 3800346 ITC46 / Bergamo 3800347 ITC47 / Brescia 3800348 ITC48 / Pavia 3800349 ITC49 / Lodi 3800350 ITC4A / Cremona 3800351 ITC4B / Mantova 3800352 ITC4C / Milano 3800353 ITC4D / Monza e della Brianza 3800611 ITF11 / L'Aquila 3800612 ITF12 / Teramo 3800613 ITF13 / Pescara 3800614 ITF14 / Chieti 3800621 ITF21 / Isernia 3800622 ITF22 / Campobasso 3800631 ITF31 / Caserta 3800632 ITF32 / Benevento 3800633 ITF33 / Napoli 3800634 ITF34 / Avellino 3800635 ITF35 / Salerno 3800643 ITF43 / Taranto 3800644 ITF44 / Brindisi 3800645 ITF45 / Lecce 3800646 ITF46 / Foggia 3800647 ITF47 / Bari 3800648 ITF48 / Barletta-Andria-Trani 3800651 ITF51 / Potenza 3800652 ITF52 / Matera 3800661 ITF61 / Cosenza 3800662 ITF62 / Crotone 3800663 ITF63 / Catanzaro 3800664 ITF64 / Vibo Valentia 3800665 ITF65 / Reggio di Calabria 3800711 ITG11 / Trapani 3800712 ITG12 / Palermo 3800713 ITG13 / Messina 3800714 ITG14 / Agrigento 3800715 ITG15 / Caltanissetta 3800716 ITG16 / Enna 3800717 ITG17 / Catania 3800718 ITG18 / Ragusa 3800719 ITG19 / Siracusa 3800725 ITG25 / Sassari 3800721 ITG2A / Ogliastra 3800722 ITG2B / Medio Campidano 3800723 ITG2C / Carbonia-Iglesias 3800726 ITG26 / Nuoro 3800727 ITG27 / Cagliari 3800728 ITG28 / Oristano 3800729 ITG29 / Olbia-Tempio 3800810 ITH10 / Bolzano-Bozen 3800820 ITH20 / Trento 3800831 ITH31 / Verona 3800832 ITH32 / Vicenza 3800833 ITH33 / Belluno 3800834 ITH34 / Treviso 3800835 ITH35 / Venezia 3800836 ITH36 / Padova 3800837 ITH37 / Rovigo 3800841 ITH41 / Pordenone 3800842 ITH42 / Udine 3800843 ITH43 / Gorizia 3800844 ITH44 / Trieste 3800851 ITH51 / Piacenza 3800852 ITH52 / Parma 3800853 ITH53 / Reggio nell'Emilia 3800854 ITH54 / Modena 3800855 ITH55 / Bologna 3800856 ITH56 / Ferrara 3800857 ITH57 / Ravenna 3800858 ITH58 / Forlì-Cesena 3800859 ITH59 / Rimini 3800911 ITI11 / Massa-Carrara 3800912 ITI12 / Lucca 3800913 ITI13 / Pistoia 3800914 ITI14 / Firenze 3800915 ITI15 / Prato 3800916 ITI16 / Livorno 3800917 ITI17 / Pisa 3800918 ITI18 / Arezzo 3800919 ITI19 / Siena 3800920 ITI1A / Grosseto 3800921 ITI21 / Perugia 3800922 ITI22 / Terni 3800931 ITI31 / Pesaro e Urbino 3800932 ITI32 / Ancona 3800933 ITI33 / Macerata 3800934 ITI34 / Ascoli Piceno 3800935 ITI35 / Fermo 3800941 ITI41 / Viterbo 3800942 ITI42 / Rieti 3800943 ITI43 / Roma 3800944 ITI44 / Latina 3800945 ITI45 / Frosinone 3800733 Sud Sardegna 6420111 RO111 / Bihor 6420112 RO112 / Bistrita-Nasaud 6420113 RO113 / Cluj 6420114 RO114 / Maramures 6420115 RO115 / Satu Mare 6420116 RO116 / Salaj 6420121 RO121 / Alba 6420122 RO122 / Brasov 6420123 RO123 / Covasna 6420124 RO124 / Harghita 6420125 RO125 / Mures 6420126 RO126 / Sibiu 6420211 RO211 / Bacau 6420212 RO212 / Botosani 6420213 RO213 / Iasi 6420214 RO214 / Neamt 6420215 RO215 / Suceava 6420216 RO216 / Vaslui 6420221 RO221 / Braila 6420222 RO222 / Buzau 6420223 RO223 / Constanta 6420224 RO224 / Galati 6420225 RO225 / Tulcea 6420226 RO226 / Vrancea 6420311 RO311 / Arges 6420312 RO312 / Calarasi 6420313 RO313 / Dâmbovita 6420314 RO314 / Giurgiu 6420315 RO315 / Ialomita 6420316 RO316 / Prahova 6420317 RO317 / Teleorman 6420321 RO321 / Bucuresti 6420411 RO411 / Dolj 6420412 RO412 / Gorj 6420413 RO413 / Mehedinti 6420414 RO414 / Olt 6420415 RO415 / Vâlcea 6420421 RO421 / Arad 6420422 RO422 / Caras-Severin 6420423 RO423 / Hunedoara 6420424 RO424 / Timis 7030010 SK010 / Bratislavský kraj 7030021 SK021 / Trnavský kraj 7030022 SK022 / Trenčiansky kraj 7030023 SK023 / Nitriansky kraj 7030031 SK031 / Žilinský kraj 7030032 SK032 / Banskobystrický kraj 7030041 SK041 / Prešovský kraj 7030042 SK042 / Košický kraj 7560011 CH011 / Vaud 7560012 CH012 / Valais 7560013 CH013 / Geneva 7560021 CH021 / Bern 7560022 CH022 / Freiburg 7560023 CH023 / Solothurn 7560024 CH024 / Neuchatel 7560025 CH025 / Jura 7560031 CH031 / Basel-Stadt 7560032 CH032 / Basel-Landschaft 7560033 CH033 / Aargau 7560040 CH040 / Zurich 7560051 CH051 / Glarus 7560052 CH052 / Schaffhausen 7560053 CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden 7560055 CH055 / St. Gallen 7560056 CH056 / Graubundun 7560057 CH057 / Thurgau 7560061 CH061 / Luzern 7560062 CH062 / Uri 7560063 CH063 / Schwyz 7560064 CH064 / Obwalden 7560065 CH065 / Nidwalden 7560066 CH066 / Zug 7560070 CH070 / Ticino ENUTS3_2013 is the third regular amendment to the annexes to the ENUTS3 classification. ENUTS3_2013 was enforced on 31 December 2013 and was applied from 1 January 2015. ENUTS3_2013 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third 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 (e.g. Turkey), and they are also incorporated into this variable. The first 3-digits of ENUTS3_2013 variable provide the COUNTRY code followed by the 4-digit NUTS3 code. The labels include the standard code for the NUTS3 (2013) system and the name of the NUTS3 region, separated by a slash. Larger sub-national units are available for most countries in ENUTS1_2013 and ENUTS2_2013. 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 Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 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. POPDENSGEO2 is a 12-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 Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 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. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. IPUMS Austria, State 1971 - 2011 [Level 1; consistent boundaries, GIS] 040011 Burgenland 040012 Niederösterreich 040013 Wien 040021 Kärnten 040022 Steiermark 040031 Oberösterreich 040032 Salzburg 040033 Tirol 040034 Vorarlberg GEO1_AT identifies the household's state within Austria in all sample years. States are the first level administrative units of the country. GEO1_AT is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_AT can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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 Austria, State 2011 [Level 1, GIS] 011 Burgenland 012 Niederösterreich 013 Wien 021 Kärnten 022 Steiermark 031 Oberösterreich 032 Salzburg 033 Tirol 034 Vorarlberg GEO1_AT2011 identifies the household's state within Austria in 2011. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_AT2011 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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 Austria, Enuts 3 1971 - 2011 [Level 2; consistent boundaries, GIS] 040011001 Mittelburgenland, Südburgenland 040011002 Nordburgenland 040012004 Mostviertel-Eisenwurzen 040012005 Niederösterreich-Süd 040012006 Sankt Pölten 040012007 Waldviertel 040012008 Weinviertel 040012009 Wiener Umland-Nordteil 040012010 Wiener Umland-Südteil 040013011 Wien 040021012 Klagenfurt-Villach 040021013 Oberkärnten 040021014 Unterkärnten 040022015 Graz 040022016 Liezen 040022017 Östliche Obersteiermark 040022018 Oststeiermark 040022019 West- und Südsteiermark 040022020 Westliche Obersteiermark 040031021 Innviertel 040031022 Linz-Wels 040031023 Mühlviertel 040031024 Steyr-Kirchdorf 040031025 Traunviertel 040032026 Lungau, Pinzgau-Pongau 040032028 Salzburg, Umgebung 040033029 Außerfern, Tiroler Oberland 040033030 Innsbruck 040033031 Osttirol, Tiroler Unterland 040034034 Bludenz-Bregenzer Wald 040034035 Rheintal-Bodenseegebiet GEO2_AT identifies the household's ENUTS 3 within Austria in all sample years. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. We are using ENUTS 3 as the second level administrative units of the country, after states. GEO2_AT is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO2_AT can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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 Austria, Enuts 3 2011 [Level 2, GIS] 011001 Mittelburgenland and Südburgenland 011002 Nordburgenland 012004 Mostviertel-Eisenwurzen 012005 Niederösterreich-Süd 012006 Sankt Pölten 012007 Waldviertel 012008 Weinviertel 012009 Wiener Umland-Nordteil 012010 Wiener Umland-Südteil 013011 Wien 021012 Klagenfurt-Villach 021013 Oberkärnten 021014 Unterkärnten 022015 Graz 022016 Liezen 022017 Östliche Obersteiermark 022018 Oststeiermark 022019 West- und Südsteiermark 022020 Westliche Obersteiermark 031021 Innviertel 031022 Linz-Wels 031023 Mühlviertel 031024 Steyr-Kirchdorf 031025 Traunviertel 032026 Lungau and Pinzgau-Pongau 032028 Salzburg und Umgebung 033029 Außerfern and Tiroler Oberland 033030 Innsbruck 033031 Osttirol and Tiroler Unterland 034034 Bludenz-Bregenzer Wald 034035 Rheintal-Bodenseegebiet GEO2_AT2011 identifies the household's ENUTS 3 within Austria in 2011. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. We are using ENUTS 3 as the second level administrative units of the country, after states. A GIS map (in shapefile format), corresponding to GEO2_AT2011 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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 Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Ownership of dwelling [detailed version] 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Number of rooms 00 Part of a room; no rooms 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+ 98 Unknown 99 NIU (not in universe) ROOMS indicates the number of rooms occupied by the housing unit. IPUMS Year structure was built 0000 NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Under construction 9999 Unknown BUILTYR indicates the year in which construction was completed on the building in which the household resides. IPUMS Age of structure, coded from intervals 000 Less than 1 year old 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) AGESTRUCT2 gives the estimated age of the structure. IPUMS Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ IPUMS Dwelling number Austria 2011: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Austria 2011: All records 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 30 031 31 032 32 033 33 034 34 035 35 037 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 51 054 54 055 55 056 56 057 57 061 61 062 62 063 63 064 64 065 65 067 67 068 68 070 70 071 71 077 77 078 78 079 79 081 81 082 82 085 85 086 86 092 92 099 99 100 100 101 101 107 107 111 111 115 115 117 117 119 119 126 126 136 136 141 141 169 169 179 179 180 180 240 240 249 249 260 260 277 277 289 289 306 306 351 351 356 356 This variable indicates the number of persons in the household. IPUMS Dwelling created by splitting apart a large dwelling or household Austria 2011: All records No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings This variable indicates if the dwelling was created by splitting apart a large dwelling or household. IPUMS Number of occupants in the dwelling Austria 2011: Conventional dwellings [discrepancies: none] 1 1 2 2 3 3 4 4 5 5 6 6+ NIU (not in universe) This variable indicates the number of occupants in the dwelling. IPUMS Housing arrangements Austria 2011: All households 1 Persons living in conventional dwellings 2 Persons living in other housing units This variable indicates whether the household lives in a conventional dwelling or in some other type of housing unit. IPUMS Number of rooms in the dwelling Austria 2011: Conventional dwellings [discrepancies: none] 1 1 2 2 3 3 to 5 4 6+ NIU (not in universe) This variable indicates the number of rooms in the dwelling. IPUMS Number of rooms per occupant Austria 2011: Conventional dwellings [discrepancies: none] 1 Less than 0.5 2 0.5 to 1 3 1 to 1.25 4 1.25 to 1.5 5 1.5 to 2 6 2 to 2.5 7 2.5 to 3 8 3+ NIU (not in universe) This variable indicates number of rooms per occupant. IPUMS Useful floor space of dwelling in square meters Austria 2011: Conventional dwellings [discrepancies: none] 1 Less than 30 2 30 to 40 3 40 to 50 4 50 to 60 5 60 to 80 6 80 to 100 7 100 to 120 8 120 to150 9 150+ NIU (not in universe) This variable indicates square meters of useful floor space of dwelling. IPUMS Density standard:useful floor space in square meters per occupant Austria 2011: Conventional dwellings [discrepancies: none] 1 Less than 10 2 10 to 15 3 15 to 20 4 20 to 30 5 30 to 40 6 40 to 60 7 60 to 80 8 80+ NIU (not in universe) This variable indicates the density standard in square meters of useful floor space in the dwelling per occupant. IPUMS Tenure status of the dwelling Austria 2011: Conventional dwellings [discrepancies: none] 1 Owner-occupied 2 Rented 3 Other type of ownership NIU (not in universe) This variable indicates whether the dwelling is owned or rented by the household. IPUMS Type of building Austria 2011: All households 1 Residential buildings with one conventional dwelling 2 Residential buildings with two conventional dwellings 3 Residential buildings with three or more conventional dwellings 4 Other buildings This variable indicates the type of building. IPUMS Number of conventional dwellings in the building Austria 2011: All households No conventional dwellings 1 1 2 2 3 3 to 5 4 6 to10 5 11 to 20 6 21+ This variable indicates the number of conventional dwellings in the building. IPUMS Period of construction Austria 2011: All households 1 Before 1919 2 1919 to 1944 3 1945 to 1960 4 1961 to 1970 5 1971 to 1980 6 1981 to 1990 7 1991 to 2000 8 2001 and later This variable indicates the period of construction of the building. IPUMS Ownership of building Austria 2011: All households 1 One or more persons 2 Public bodies 3 Limited profit housing associations 4 Other legal entities This variable indicates if the building is owned by individuals or by a private or public entity or association. IPUMS Type of private household Austria 2011: All households 01 One-person households 02 Multi-person households 03 Married couples without resident children 04 Married couples with at least one resident child under 25 05 Married couples, youngest resident son or daughter 25 or older 06 Consensual union couples without resident children 07 Consensual union couples with at least one resident child under 25 08 Consensual union couples, youngest resident son or daughter 25 or older 09 Lone father households with at least one resident child under 25 10 Lone father households, youngest resident son or daughter 25 or older 11 Lone mother households with at least one resident child under 25 12 Lone mother households, youngest resident son or daughter 25 or older 13 Two or more-family households 14 Non-private households This variable indicates the type of private household. IPUMS Number of persons in household Austria 2011: Private households [discrepancies: none] 1 1 2 2 3 3 4 4 5 5 6 6+ NIU (not in universe) This variable indicates the number of persons in the household. IPUMS Number of persons under the age of 15 in the household Austria 2011: Private households [discrepancies: none] No person 1 1 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) This variable indicates the number of persons under the age of 15 in the household. IPUMS Number of persons under the age of 18 in the household Austria 2011: Private households [discrepancies: none] No person 1 1 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) This variable indicates the number of persons under the age of 18 in the household. IPUMS Number of persons aged 65 or over in the household Austria 2011: Private households [discrepancies: none] No person 1 1 2 2 3 3+ 9 NIU (not in universe) This variable indicates the number of persons aged 65 or over in the household. IPUMS Type of one-family household Austria 2011: One-family private households [discrepancies: none] 1 One-family household without further person 2 One-family household with further person NIU (not in universe) This variable indicates the type of one-family household. IPUMS Strata Austria 2011: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 3-digit numeric variable with 0 implied decimal places 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 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 Nativity status NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVITY indicates whether the person was native-born or foreign-born. IPUMS Country of birth 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 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 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 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 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 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 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 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 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, 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 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 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 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 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 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 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 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 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 53060 Federated States of Micronesia 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. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown BPLCOUNTRY indicates the person's country of birth. 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 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, Austria 00 NIU (not in universe) 10 Primary education 20 Compulsory (lower) secondary school 30 Upper secondary education 31 Higher general secondary 32 Higher technical and vocational secondary school 33 Intermediate technical and vocational school 34 Apprenticeship training 40 Non-university education 41 Technical or vocational course 42 (Academic) Intermediate degrees 50 University, college 60 Doctorate 99 Unknown EDUCAT indicates the highest educational level in Austria that the person 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 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 Migration status, 1 year 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions. IPUMS 1st subnational geographic level of residence 1 years prior to survey, world [consistent boundaries over time] 040011 Burgenland [State: Austria] 040012 Niederösterreich [State: Austria] 040013 Wien [State: Austria] 040021 Kärnten [State: Austria] 040022 Steiermark [State: Austria] 040031 Oberösterreich [State: Austria] 040032 Salzburg [State: Austria] 040033 Tirol [State: Austria] 040034 Vorarlberg [State: Austria] 040097 Foreign country [State: Austria] 040099 NIU [State: Austria] 854001 Boucle du Mouhoun [Region: Burkina Faso] 854002 Cascades [Region: Burkina Faso] 854003 Centre [Region: Burkina Faso] 854004 Centre-Est [Region: Burkina Faso] 854005 Centre-Nord [Region: Burkina Faso] 854006 Centre-Ouest [Region: Burkina Faso] 854007 Centre-Sud [Region: Burkina Faso] 854008 Est [Region: Burkina Faso] 854009 Hauts-Bassins [Region: Burkina Faso] 854010 Nord [Region: Burkina Faso] 854011 Plateau Central [Region: Burkina Faso] 854012 Sahel [Region: Burkina Faso] 854013 Sud-Ouest [Region: Burkina Faso] 854997 Abroad [Region: Burkina Faso] 854998 Unknown [Region: Burkina Faso] 854999 NIU [Region: Burkina Faso] 072001 Gaborone [District: Botswana] 072002 Francistown [District: Botswana] 072003 Lobatse [District: Botswana] 072004 Selebi Phikwe [District: Botswana] 072007 Central Tutume, Sowa [District: Botswana] 072010 Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana] 072011 Borolong [District: Botswana] 072020 South East [District: Botswana] 072030 Kweneng, Kweneng South, Kweneng North [District: Botswana] 072040 Kgatleng [District: Botswana] 072050 Central Serowe/Palapye [District: Botswana] 072051 Central Mahalapye [District: Botswana] 072052 Central Bobonong [District: Botswana] 072053 Central Boteti, Orapa [District: Botswana] 072060 North East [District: Botswana] 072070 Ngamiland East [District: Botswana] 072071 Ngamiland West, Delta [District: Botswana] 072072 Chobe [District: Botswana] 072080 Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana] 072090 Tshabong (Kgalagadi South) [District: Botswana] 072091 Hukunsti (Kgalagadi North) [District: Botswana] 072092 Botswana, district unknown [District: Botswana] 072097 Abroad [District: Botswana] 072098 Unknown [District: Botswana] 072099 NIU (not in universe) [District: Botswana] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 124098 Unknown [Province: Canada] 124099 NIU (not in universe) [Province: Canada] 384001 Lagunes, Sud Comoé, Sud Bandama, Agneby [Region: Cote D'Ivoire] 384002 Haut Sassandra, Marahoué, Fromager [Region: Cote D'Ivoire] 384003 Savanes [Region: Cote D'Ivoire] 384004 Vallée du Bandam, Lacs, N'Zi Comoé [Region: Cote D'Ivoire] 384005 Moyen Comoé [Region: Cote D'Ivoire] 384006 Montagnes, Moyen Cavally [Region: Cote D'Ivoire] 384008 Zanzan [Region: Cote D'Ivoire] 384009 Bas Sassandra [Region: Cote D'Ivoire] 384010 Denguele, Worodougou, Bafing [Region: Cote D'Ivoire] 384097 Abroad [Region: Cote D'Ivoire] 384098 Unknown [Region: Cote D'Ivoire] 384099 NIU [Region: Cote D'Ivoire] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Agion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 300996 Foreign country [Department: Greece] 300997 Response suppressed [Department: Greece] 300998 Unknown [Department: Greece] 300999 NIU (not in universe) [Department: Greece] 372001 Dublin [Region: Ireland] 372002 Midlands [Region: Ireland] 372003 Mid-East, Border [Region: Ireland] 372004 Mid-West, South-East [Region: Ireland] 372006 West [Region: Ireland] 372008 South West [Region: Ireland] 372096 Ireland, region not specified [Region: Ireland] 372097 Abroad [Region: Ireland] 372098 Unknown [Region: Ireland] 372099 NIU (not in universe) [Region: Ireland] 380001 Piemonte, Valle d'Aosta [Region: Italy] 380003 Lombardia [Region: Italy] 380004 Trentino Alto Adige [Region: Italy] 380005 Veneto [Region: Italy] 380006 Friuli Venezia Giulia [Region: Italy] 380007 Liguria [Region: Italy] 380008 Emilia Romagna, Marche [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380012 Lazio [Region: Italy] 380013 Abruzzo [Region: Italy] 380014 Molise [Region: Italy] 380015 Campania [Region: Italy] 380016 Puglia [Region: Italy] 380017 Basilicata [Region: Italy] 380018 Calabria [Region: Italy] 380019 Sicilia [Region: Italy] 380020 Sardegna [Region: Italy] 380097 Foregin Country [Region: Italy] 380099 NIU [Region: Italy] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe city [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba city [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre city [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 454997 Abroad [District: Malawi] 454998 Unknown [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 508097 Foreign Country [Province: Mozambique] 508098 Unknown [Province: Mozambique] 508099 NIU (not in universe) [Province: Mozambique] 598001 Western [Province: Papua New Guinea] 598002 Gulf [Province: Papua New Guinea] 598003 Central [Province: Papua New Guinea] 598004 National Capital District [Province: Papua New Guinea] 598005 Milne Bay [Province: Papua New Guinea] 598006 Northern [Province: Papua New Guinea] 598007 Southern Highlands, Hela [Province: Papua New Guinea] 598008 Enga [Province: Papua New Guinea] 598009 Western Highlands, Jiwaka [Province: Papua New Guinea] 598010 Chimbu [Province: Papua New Guinea] 598011 Eastern Highlands [Province: Papua New Guinea] 598012 Morobe [Province: Papua New Guinea] 598013 Madang [Province: Papua New Guinea] 598014 East Sepik [Province: Papua New Guinea] 598015 West Sepik [Province: Papua New Guinea] 598016 Manus [Province: Papua New Guinea] 598017 New Ireland [Province: Papua New Guinea] 598018 East New Britain [Province: Papua New Guinea] 598019 West New Britain [Province: Papua New Guinea] 598020 Autonomous Region of Bougainville [Province: Papua New Guinea] 598097 Foreign country [Province: Papua New Guinea] 598098 Unknown [Province: Papua New Guinea] 598099 NIU (not in universe) [Province: Papua New Guinea] 616002 Dolnośląskie [Vovoidship (Province): Poland] 616004 Kujawsko pomorskie [Vovoidship (Province): Poland] 616006 Lubelskie [Vovoidship (Province): Poland] 616008 Lubuskie [Vovoidship (Province): Poland] 616010 Łódzkie [Vovoidship (Province): Poland] 616012 Małopolskie [Vovoidship (Province): Poland] 616014 Mazowieckie [Vovoidship (Province): Poland] 616016 Opolskie [Vovoidship (Province): Poland] 616018 Podkarpackie [Vovoidship (Province): Poland] 616020 Podlaskie [Vovoidship (Province): Poland] 616022 Pomorskie [Vovoidship (Province): Poland] 616024 Śląskie [Vovoidship (Province): Poland] 616026 Świętokrzyskie [Vovoidship (Province): Poland] 616028 Warmińsko mazurskie [Vovoidship (Province): Poland] 616030 Wielkopolskie [Vovoidship (Province): Poland] 616032 Zachodniopomorskie [Vovoidship (Province): Poland] 616098 Unknown [Vovoidship (Province): Poland] 616099 NIU (not in universe) [Vovoidship (Province): Poland] 620111 Minho-Lima [Subregion: Portugal] 620112 Cávado [Subregion: Portugal] 620113 Ave [Subregion: Portugal] 620114 Grande Porto [Subregion: Portugal] 620115 Tâmega [Subregion: Portugal] 620116 Entre Douro e Vouga [Subregion: Portugal] 620117 Douro [Subregion: Portugal] 620118 Alto Trás-os-Montes [Subregion: Portugal] 620150 Algarve [Subregion: Portugal] 620161 Baixo Vouga [Subregion: Portugal] 620162 Baixo Mondego [Subregion: Portugal] 620163 Pinhal Litoral [Subregion: Portugal] 620165 Dão-Lafões [Subregion: Portugal] 620166 Oeste [Subregion: Portugal] 620167 Médio Tejo [Subregion: Portugal] 620169 Other Center [Subregion: Portugal] 620171 Grande Lisboa [Subregion: Portugal] 620172 Península de Setúbal [Subregion: Portugal] 620185 Lezíria do Tejo [Subregion: Portugal] 620189 Other Alentejo [Subregion: Portugal] 620200 Região Autónoma dos Açores [Subregion: Portugal] 620300 Região Autónoma da Madeira [Subregion: Portugal] 620998 Foreign country [Subregion: Portugal] 620999 NIU (not in universe) [Subregion: Portugal] 643001 Altai Krai [Region: Russia] 643003 Krasnodar Krai [Region: Russia] 643004 Krasnoyarsk Krai [Region: Russia] 643005 Primorsky Krai [Region: Russia] 643007 Stavropol Krai [Region: Russia] 643008 Khabarovsk Krai [Region: Russia] 643010 Amur Oblast [Region: Russia] 643011 Arkhangelsk Oblast [Region: Russia] 643012 Astrakhan Oblast [Region: Russia] 643013 Nenets Autonomous District 643014 Belgorod Oblast [Region: Russia] 643015 Bryansk Oblast [Region: Russia] 643017 Vladimir Oblast [Region: Russia] 643018 Volgograd Oblast [Region: Russia] 643019 Vologda Oblast [Region: Russia] 643020 Voronezh Oblast [Region: Russia] 643022 Nizhny Novgorod Oblast [Region: Russia] 643024 Ivanovo Oblast [Region: Russia] 643025 Irkutsk Oblast [Region: Russia] 643026 Republic of Ingushetia [Region: Russia] 643027 Kaliningrad Oblast [Region: Russia] 643028 Tver Oblast [Region: Russia] 643029 Kaluga Oblast [Region: Russia] 643030 Kamchatka Krai [Region: Russia] 643032 Kemerovo Oblast [Region: Russia] 643033 Kirov Oblast [Region: Russia] 643034 Kostroma Oblast [Region: Russia] 643036 Samara Oblast [Region: Russia] 643037 Kurgan Oblast [Region: Russia] 643038 Kursk Oblast [Region: Russia] 643040 City of Federal Importance St. Petersburg [Region: Russia] 643041 Leningrad Oblast [Region: Russia] 643042 Lipetsk Oblast [Region: Russia] 643044 Magadan Oblast [Region: Russia] 643045 City of Federal Importance Moscow [Region: Russia] 643046 Moscow Oblast [Region: Russia] 643047 Murmansk Oblast [Region: Russia] 643049 Novgorod Oblast [Region: Russia] 643050 Novosibirsk Oblast [Region: Russia] 643052 Omsk Oblast [Region: Russia] 643053 Orenburg Oblast [Region: Russia] 643054 Oryol Oblast [Region: Russia] 643056 Penza Oblast [Region: Russia] 643057 Perm Krai [Region: Russia] 643058 Pskov Oblast [Region: Russia] 643060 Rostov Oblast [Region: Russia] 643061 Ryazan Oblast [Region: Russia] 643063 Saratov Oblast [Region: Russia] 643064 Sakhalin Oblast [Region: Russia] 643065 Sverdlovsk Oblast [Region: Russia] 643066 Smolensk Oblast [Region: Russia] 643068 Tambov Oblast [Region: Russia] 643069 Tomsk Oblast [Region: Russia] 643070 Tula Oblast [Region: Russia] 643071 Tyumen Oblast [Region: Russia] 643072 Khanty-Mansi Autonomous District - Yugra [Region: Russia] 643073 Ulyanovsk Oblast [Region: Russia] 643074 Yamalo-Nenets Autonomous District [Region: Russia] 643075 Chelyabinsk Oblast [Region: Russia] 643076 Zabaykalsky Krai, Aginsky Buryat District [Region: Russia] 643077 Chukotka Autonomous Region [Region: Russia] 643078 Yaroslavskaya Oblast [Region: Russia] 643079 Republic of Adygea [Region: Russia] 643080 Republic of Bashkortostan [Region: Russia] 643081 Republic of Buryatia [Region: Russia] 643082 Republic of Dagestan [Region: Russia] 643083 Kabardino-Balkaria Republic [Region: Russia] 643084 Altai Republic [Region: Russia] 643085 Republic of Kalmykia [Region: Russia] 643086 Republic of Karelia [Region: Russia] 643087 Komi Republic [Region: Russia] 643088 Mari El Republic [Region: Russia] 643089 Republic of Mordovia [Region: Russia] 643090 Republic of North Ossetia-Alania [Region: Russia] 643091 Karachay-Cherkess Republic [Region: Russia] 643092 Republic of Tatarstan [Region: Russia] 643093 Tyva Republic [Region: Russia] 643094 Udmurtia Republic [Region: Russia] 643095 Republic of Khakassia [Region: Russia] 643096 Chechen Republic [Region: Russia] 643097 Chuvash Republic [Region: Russia] 643098 Republic of Sakha (Yakutia) [Region: Russia] 643099 Jewish Autonomous Region [Region: Russia] 643997 Foreign Country [Region: Russia] 643998 Unknown [Region: Russia] 643999 NIU [Region: Russia] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 728011 Northern [State:South Sudan] 728012 Nahr El Nil [State:South Sudan] 728021 Red Sea [State:South Sudan] 728022 Kassala [State:South Sudan] 728023 Al Gedarif [State:South Sudan] 728031 Khartoum [State:South Sudan] 728041 Al Gezira [State:South Sudan] 728042 White Nile [State:South Sudan] 728043 Sinnar [State:South Sudan] 728044 Blue Nile [State:South Sudan] 728051 North Kordofan [State:South Sudan] 728052 South Kordofan [State:South Sudan] 728061 North Darfur [State:South Sudan] 728062 West Darfur [State:South Sudan] 728063 South Darfur [State:South Sudan] 728071 Upper Nile [State: South Sudan] 728072 Jonglei [State: South Sudan] 728073 Unity [State: South Sudan] 728081 Warrap [State: South Sudan] 728082 Northern Bahr El Ghazal [State: South Sudan] 728083 Western Bahr El Ghazal [State: South Sudan] 728084 Lakes [State: South Sudan] 728091 Western Equatoria [State: South Sudan] 728092 Central Equatoria [State: South Sudan] 728093 Eastern Equatoria [State: South Sudan] 728098 Abroad [State: South Sudan] 728099 NIU (Not in universe) [State: South Sudan] 729011 Northern [State: Sudan] 729012 Nahr El Nil [State: Sudan] 729021 Red Sea [State: Sudan] 729022 Kassala [State: Sudan] 729023 Al Gedarif [State: Sudan] 729031 Khartoum [State: Sudan] 729041 Al Gezira [State: Sudan] 729042 White Nile [State: Sudan] 729043 Sinnar [State: Sudan] 729044 Blue Nile [State: Sudan] 729051 North Kordofan [State: Sudan] 729052 South Kordofan [State: Sudan] 729061 North Darfur [State: Sudan] 729062 West Darfur [State: Sudan] 729063 South Darfur [State: Sudan] 729071 Upper Nile [State: Sudan] 729072 Jonglei [State: Sudan] 729073 Unity [State: Sudan] 729081 Warrap [State: Sudan] 729082 Northern Bahr El Ghazal [State: Sudan] 729083 Western Bahr El Ghazal [State: Sudan] 729084 Lakes [State: Sudan] 729091 Western Equatoria [State: Sudan] 729092 Central Equatoria [State: Sudan] 729093 Eastern Equatoria [State: Sudan] 729098 Abroad [State: Sudan] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 826101 North East [Region: United Kingdom] 826102 North West [Region: United Kingdom] 826103 Yorkshire and the Humber [Region: United Kingdom] 826104 East Midlands [Region: United Kingdom] 826105 West Midlands [Region: United Kingdom] 826106 East of England [Region: United Kingdom] 826107 South East [Region: United Kingdom] 826108 South West [Region: United Kingdom] 826110 Outer London, Inner London [Region: United Kingdom] 826111 Scotland [Region: United Kingdom] 826112 Wales [Region: United Kingdom] 826113 Northern Ireland [Region: United Kingdom] 826197 Other country [Region: United Kingdom] 826198 Unknown [Region: United Kingdom] 826199 NIU (not in universe) [Region: United Kingdom] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 834098 Unknown [Region: Tanzania] 834099 NIU (not in universe) [Region: Tanzania] 840001 Alabama [State: United States] 840002 Alaska [State: United States] 840004 Arizona [State: United States] 840005 Arkansas [State: United States] 840006 California [State: United States] 840008 Colorado [State: United States] 840009 Connecticut [State: United States] 840010 Delaware [State: United States] 840011 District of Columbia [State: United States] 840012 Florida [State: United States] 840013 Georgia [State: United States] 840015 Hawaii [State: United States] 840016 Idaho [State: United States] 840017 Illinois [State: United States] 840018 Indiana [State: United States] 840019 Iowa [State: United States] 840020 Kansas [State: United States] 840021 Kentucky [State: United States] 840022 Louisiana [State: United States] 840023 Maine [State: United States] 840024 Maryland [State: United States] 840025 Massachusetts [State: United States] 840026 Michigan [State: United States] 840027 Minnesota [State: United States] 840028 Mississippi [State: United States] 840029 Missouri [State: United States] 840030 Montana [State: United States] 840031 Nebraska [State: United States] 840032 Nevada [State: United States] 840033 New Hampshire [State: United States] 840034 New Jersey [State: United States] 840035 New Mexico [State: United States] 840036 New York [State: United States] 840037 North Carolina [State: United States] 840038 North Dakota [State: United States] 840039 Ohio [State: United States] 840040 Oklahoma [State: United States] 840041 Oregon [State: United States] 840042 Pennsylvania [State: United States] 840044 Rhode Island [State: United States] 840045 South Carolina [State: United States] 840046 South Dakota [State: United States] 840047 Tennessee [State: United States] 840048 Texas [State: United States] 840049 Utah [State: United States] 840050 Vermont [State: United States] 840051 Virginia [State: United States] 840053 Washington [State: United States] 840054 West Virginia [State: United States] 840055 Wisconsin [State: United States] 840056 Wyoming [State: United States] 840097 Abroad [State: United States] 840999 NIU (not in universe) [State: United States] 894001 Central [Province: Zambia] 894002 Copperbelt [Province: Zambia] 894003 Eastern, Muchinga, Northern [Province: Zambia] 894004 Luapula [Province: Zambia] 894005 Lusaka [Province: Zambia] 894008 North Western [Province: Zambia] 894009 Southern [Province: Zambia] 894010 Western [Province: Zambia] 894097 Foreign country [Province: Zambia] 894098 Unknown [Province: Zambia] 894099 NIU (not in universe) [Province: Zambia] GEOMIG1_1 indicates the major administrative unit in which the person resided one year prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence one year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. IPUMS European NUTS3 residence 1 year ago, Austria; consistent boundaries, GIS 040011001 Mittelburgenland, Südburgenland 040011002 Nordburgenland 040012004 Mostviertel-Eisenwurzen 040012005 Niederösterreich-Süd 040012006 Sankt Pölten 040012007 Waldviertel 040012008 Weinviertel 040012009 Wiener Umland-Nordteil 040012010 Wiener Umland-Südteil 040013011 Wien 040021012 Klagenfurt-Villach 040021013 Oberkärnten 040021014 Unterkärnten 040022015 Graz 040022016 Liezen 040022017 Östliche Obersteiermark 040022018 Oststeiermark 040022019 West- und Südsteiermark 040022020 Westliche Obersteiermark 040031021 Innviertel 040031022 Linz-Wels 040031023 Mühlviertel 040031024 Steyr-Kirchdorf 040031025 Traunviertel 040032026 Lungau, Pinzgau-Pongau 040032028 Salzburg, Umgebung 040033029 Außerfern, Tiroler Oberland 040033030 Innsbruck 040033031 Osttirol, Tiroler Unterland 040034034 Bludenz-Bregenzer Wald 040034035 Rheintal-Bodenseegebiet 040097097 Foreign country 040099099 NIU MIG2_1_AT indicates the person's ENUTS-3 of residence within Austria one year prior to the census. Migration ENUTS-3 codes in MIG2_1_AT are compatible with codes in GEO2_AT. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. IPUMS Person number (within household) Austria 2011: All records This variable indicates the person number within household. This is a 3-digit numeric variable with 0 implied decimal places IPUMS Family number Austria 2011: All persons This variable indicates the family number. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Age Austria 2011: All persons 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 96 96 97 97 98 98 99 99+ This variable indicates the person's age. IPUMS Sex Austria 2011: All persons 1 Male 2 Female This variable indicates the person's sex. IPUMS Legal marital status Austria 2011: All persons 1 Never married 2 Married 3 Widowed 4 Divorced This variable indicates the person's legal marital status. IPUMS Country of citizenship Austria 2011: All persons 01 Austria 02 EU Member States (14) 03 EU Member States (10) 04 EU Member States (2) 05 Former Yugoslavia (without Slovenia) 06 Turkey 07 EEA, Switzerland, associated microstates 08 Other European countries 09 Africa 10 North America 11 Latin America 12 Asia (without Turkey and Cyprus) 13 Oceania 14 Stateless/Unknown This variable indicates the person's country of citizenship. IPUMS Country of birth Austria 2011: All persons 01 Austria 02 EU Member States (14) 03 EU Member States (10) 04 EU Member States (2) 05 Former Yugoslavia (without Slovenia) 06 Turkey 07 EEA, Switzerland, associated microstates 08 Other European countries 09 Africa 10 North America 11 Latin America 12 Asia (without Turkey and Cyprus) 13 Oceania 14 Unknown This variable indicates the person's country of birth. IPUMS Place of usual residence one year prior to the census Austria 2011: Persons age 1+ [discrepancies: none] 1 Usual residence unchanged 2 Move within the municipality of the current usual residence 3 Move between municipalities 4 Move from abroad NIU (not in universe) This variable indicates the person's place of usual residence one year prior to the census. IPUMS NUTS3 Region of usual residence one year prior to the census Austria 2011: Persons age 1+ [discrepancies: none] 111 Mittelburgenland and Suedburgenland 112 Nordburgenland 121 Mostviertel-Eisenwurzen 122 Niederoesterreich-Sued 123 Sankt Poelten 124 Waldviertel 125 Weinviertel 126 Wiener Umland-Nordteil 127 Wiener Umland-Suedteil 130 Wien 211 Klagenfurt-Villach 212 Oberkaernten 213 Unterkaernten 221 Graz 222 Liezen 223 Oestliche Obersteiermark 224 Oststeiermark 225 West- und Suedsteiermark 226 Westliche Obersteiermark 311 Innviertel 312 Linz-Wels 313 Muehlviertel 314 Steyr-Kirchdorf 315 Traunviertel 321 Lungau and Pinzgau-Pongau 323 Salzburg und Umgebung 331 Ausserfern and Tiroler Oberland 332 Innsbruck 333 Osttirol and Tiroler Unterland 341 Bludenz-Bregenzer Wald 342 Rheintal-Bodenseegebiet 998 Abroad 999 NIU (not in universe) This variable indicates the region of usual residence in one year prior to the census (NUTS3) IPUMS NUTS3 Region of work or school Austria 2011: Persons who either work or attend school 111 Mittelburgenland 112 Nordburgenland 113 Suedburgenland 121 Mostviertel-Eisenwurzen 122 Niederoesterreich-Sued 123 Sankt Poelten 124 Waldviertel 125 Weinviertel 126 Wiener Umland-Nordteil 127 Wiener Umland-Suedteil 130 Wien 211 Klagenfurt-Villach 212 Oberkaernten 213 Unterkaernten 221 Graz 222 Liezen 223 Oestliche Obersteiermark 224 Oststeiermark 225 West- und Suedsteiermark 226 Westliche Obersteiermark 311 Innviertel 312 Linz-Wels 313 Muehlviertel 314 Steyr-Kirchdorf 315 Traunviertel 321 Lungau 322 Pinzgau-Pongau 323 Salzburg und Umgebung 331 Ausserfern 332 Innsbruck 333 Osttirol 334 Tiroler Oberland 335 Tiroler Unterland 341 Bludenz-Bregenzer Wald 342 Rheintal-Bodenseegebiet 998 Abroad 999 NIU (not in universe) This variable indicates the region of work or school of respondents (NUTS3) IPUMS Educational attainment Austria 2011: Persons age 15+ [discrepancies: none] 1 Primary education 2 Lower secondary education 3 Upper secondary education 4 Post secondary non-tertiary education 5 First stage of tertiary education 6 Second stage of tertiary education NIU (not in universe) This variable indicates the highest level of education completed by the individual. IPUMS Field of education Austria 2011: Persons age 15+ [discrepancies: none] 01 General programmes 02 Education 03 Humanities and arts 04 Social sciences, business and law 05 Science 06 Engineering, manufacturing and construction 07 Agriculture 08 Health and welfare 09 Services 10 Not stated 00 NIU (not in universe) This variable indicates the field of the highest level of education completed by the individual. IPUMS Current participation in education Austria 2011: All persons 1 Currently no participation in formal education 2 Primary level and secondary level I 3 Secondary level II and postsecondary level 4 Tertiary level 9 Unclassified children age 7 to 14 This variable indicates whether or not the person was attending school at the time of the census. IPUMS Employment status Austria 2011: All persons 1 Employed 2 Unemployed 3 Persons below the age of 15 4 Persons receiving a pension 5 Students 15 and over (not economically active) 6 Other currently not economically active persons This variable indicates whether or not the respondent was part of the labor force -- working or seeking work -- at the time of the census. IPUMS Class of worker Austria 2011: All persons 1 Employees 2 Employers 3 Own-account workers 4 Contributing family workers 5 Not stated 6 Currently not economically active This variable describes the status of an economically active person with respect to his or her employment -- that is, whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. IPUMS Industry Austria 2011: Economically active persons [discrepancies: none] 011 Growing of non-perennial crops 012 Growing of perennial crops 013 Plant propagation 014 Animal production 015 Mixed farming 016 Support activities to agriculture and post-harvest crop activities 019 Crop and animal production, hunting, and related service activities n.e.c. 021 Silviculture and other forestry activities 022 Logging 024 Support services to forestry 030 Fishing and aquaculture 061 Extraction of crude petroleum 081 Quarrying of stone, sand and clay 089 Mining and quarrying n.e.c. 101 Processing and preserving of meat and production of meat products 103 Processing and preserving of fruit and vegetables 104 Manufacture of vegetable and animal oils and fats 105 Manufacture of dairy products 106 Manufacture of grain mill products, starches and starch products 107 Manufacture of bakery and farinaceous products 108 Manufacture of other food products 109 Manufacture of prepared animal feeds 110 Manufacture of beverages 120 Manufacture of tobacco products 131 Preparation and spinning of textile fibres 132 Weaving of textiles 133 Finishing of textiles 139 Manufacture of other textiles 141 Manufacture of wearing apparel, except fur apparel 143 Manufacture of knitted and crocheted apparel 151 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness; dressing and dyeing of fur 152 Manufacture of footwear 161 Sawmilling and planing of wood 162 Manufacture of products of wood, cork, straw and plaiting materials 171 Manufacture of pulp, paper and paperboard 172 Manufacture of articles of paper and paperboard 181 Printing and service activities related to printing 182 Reproduction of recorded media 191 Manufacture of coke oven products 192 Manufacture of refined petroleum products 201 Manufacture of basic chemicals, fertilisers and nitrogen compounds, plastics and synthetic rubber in primary forms 202 Manufacture of pesticides and other agrochemical products 203 Manufacture of paints, varnishes and similar coatings, printing ink and mastics 204 Manufacture of soap and detergents, cleaning and polishing preparations, perfumes and toilet preparations 205 Manufacture of other chemical products 206 Manufacture of man-made fibres 211 Manufacture of basic pharmaceutical products 212 Manufacture of pharmaceutical preparations 221 Manufacture of rubber products 222 Manufacture of plastics products 231 Manufacture of glass and glass products 232 Manufacture of refractory products 233 Manufacture of clay building materials 234 Manufacture of other porcelain and ceramic products 235 Manufacture of cement, lime and plaster 236 Manufacture of articles of concrete, cement and plaster 237 Cutting, shaping and finishing of stone 239 Manufacture of abrasive products and non-metallic mineral products n.e.c. 241 Manufacture of basic iron and steel and of ferro-alloys 242 Manufacture of tubes, pipes, hollow profiles and related fittings, of steel 243 Manufacture of other products of first processing of steel 244 Manufacture of basic precious and other non-ferrous metals 245 Casting of metals 251 Manufacture of structural metal products 252 Manufacture of tanks, reservoirs and containers of metal 253 Manufacture of steam generators, except central heating hot water boilers 254 Manufacture of weapons and ammunition 255 Forging, pressing, stamping and roll-forming of metal; powder metallurgy 256 Treatment and coating of metals; machining 257 Manufacture of cutlery, tools and general hardware 259 Manufacture of other fabricated metal products 261 Manufacture of electronic components and boards 262 Manufacture of computers and peripheral equipment 263 Manufacture of communication equipment 264 Manufacture of consumer electronics 265 Manufacture of instruments and appliances for measuring, testing and navigation; watches and clocks 266 Manufacture of irradiation, electromedical and electrotherapeutic equipment 267 Manufacture of optical instruments and photographic equipment 271 Manufacture of electric motors, generators, transformers and electricity distribution and control apparatus 272 Manufacture of batteries and accumulators 273 Manufacture of wiring and wiring devices 274 Manufacture of electric lighting equipment 275 Manufacture of domestic appliances 279 Manufacture of other electrical equipment 281 Manufacture of general-purpose machinery 282 Manufacture of other general-purpose machinery 283 Manufacture of agricultural and forestry machinery 284 Manufacture of metal forming machinery and machine tools 289 Manufacture of other special-purpose machinery 291 Manufacture of motor vehicles 292 Manufacture of bodies (coachwork) for motor vehicles; manufacture of trailers and semi-trailers 293 Manufacture of parts and accessories for motor vehicles 301 Building of ships and boats 302 Manufacture of railway locomotives and rolling stock 303 Manufacture of air and spacecraft and related machinery 304 Manufacture of military fighting vehicles 309 Manufacture of transport equipment n.e.c. 310 Manufacture of furniture 321 Manufacture of jewellery, bijouterie and related articles 322 Manufacture of musical instruments 323 Manufacture of sports goods 324 Manufacture of games and toys 325 Manufacture of medical and dental instruments and supplies 329 Manufacturing n.e.c. 331 Repair of fabricated metal products, machinery and equipment 332 Installation of industrial machinery and equipment 351 Electric power generation, transmission and distribution 352 Manufacture of gas; distribution of gaseous fuels through mains 353 Steam and air conditioning supply 360 Water collection, treatment and supply 370 Sewerage 381 Waste collection 382 Waste treatment and disposal 383 Materials recovery 390 Remediation activities and other waste management services 411 Development of building projects 412 Construction of residential and non-residential buildings 421 Construction of roads and railways 422 Construction of utility projects 429 Construction of other civil engineering projects 431 Demolition and site preparation 432 Electrical, plumbing and other construction installation activities 433 Building completion and finishing 439 Other specialised construction activities 451 Sale of motor vehicles 452 Maintenance and repair of motor vehicles 453 Sale of motor vehicle parts and accessories 454 Sale, maintenance and repair of motorcycles and related parts and accessories 461 Wholesale on a fee or contract basis 462 Wholesale of agricultural raw materials and live animals 463 Wholesale of food, beverages and tobacco 464 Wholesale of household goods 465 Wholesale of information and communication equipment 466 Wholesale of other machinery, equipment and supplies 467 Other specialised wholesale 469 Non-specialised wholesale trade 471 Retail sale in non-specialised stores 472 Retail sale of food, beverages and tobacco in specialised stores 473 Retail sale of automotive fuel in specialised stores 474 Retail sale of information and communication equipment in specialised stores 475 Retail sale of other household equipment in specialised stores 476 Retail sale of cultural and recreation goods in specialised stores 477 Retail sale of other goods in specialised stores 478 Retail sale via stalls and markets 479 Retail trade not in stores, stalls or markets 491 Passenger rail transport, interurban 492 Freight rail transport 493 Other passenger land transport 494 Freight transport by road and removal services 495 Transport via pipeline 502 Sea and coastal freight water transport 503 Inland passenger water transport 511 Passenger air transport 521 Warehousing and storage 522 Support activities for transportation 531 Postal activities under universal service obligation 532 Other postal and courier activities 539 Transportation and storage n.e.c. 551 Hotels and similar accommodation 552 Holiday and other short-stay accommodation 553 Camping grounds, recreational vehicle parks and trailer parks 559 Other accommodation 561 Restaurants and mobile food service activities 562 Event catering and other food service activities 563 Beverage serving activities 581 Publishing of books, periodicals and other publishing activities 582 Software publishing 591 Motion picture, video and television programme activities 592 Sound recording and music publishing activities 601 Radio broadcasting 602 Television programming and broadcasting activities 611 Wired telecommunications activities 612 Wireless telecommunications activities 619 Other telecommunications activities 620 Computer programming, consultancy and related activities 631 Data processing, hosting and related activities; web portals 639 Other information service activities 641 Monetary intermediation 642 Activities of holding companies 643 Trusts, funds and similar financial entities 649 Other financial service activities, except insurance and pension funding 651 Insurance 652 Reinsurance 653 Pension funding 661 Activities auxiliary to financial services, except insurance and pension funding 662 Activities auxiliary to insurance and pension funding 663 Fund management activities 681 Buying and selling of own real estate 682 Renting and operating of own or leased real estate 683 Real estate activities on a fee or contract basis 691 Legal activities 692 Accounting, bookkeeping and auditing activities; tax consultancy 701 Activities of head offices 702 Management consultancy activities 711 Architectural and engineering activities and related technical consultancy 712 Technical testing and analysis 721 Research and experimental development on natural sciences and engineering 722 Research and experimental development on social sciences and humanities 731 Advertising 732 Market research and public opinion polling 741 Specialised design activities 742 Photographic activities 743 Translation and interpretation activities 749 Other professional, scientific and technical activities n.e.c. 750 Veterinary activities 771 Renting and leasing of motor vehicles 772 Renting and leasing of personal and household goods 773 Renting and leasing of other machinery, equipment and tangible goods 774 Leasing of intellectual property and similar products, except copyrighted works 781 Activities of employment placement agencies 782 Temporary employment agency activities 783 Other human resources provision 791 Travel agency and tour operator activities 799 Other reservation services and related activities 801 Private security activities 803 Investigation activities 811 Combined facilities support activities 812 Cleaning activities 813 Landscape service activities 821 Office administrative and support activities 822 Activities of call centres 823 Organisation of conventions and trade shows 829 Business support service activities n.e.c. 841 Administration of the State and the economic and social policy of the community 842 Provision of services to the community as a whole 843 Compulsory social security activities 851 Pre-primary education 852 Primary education 853 Secondary education 854 Higher education 855 Other education 856 Educational support activities 861 Hospital activities 862 Medical and dental practice activities 869 Other human health activities 871 Residential nursing care activities 872 Residential care activities for mental retardation, mental health and substance abuse 873 Residential care activities for the elderly and disabled 879 Other residential care activities 881 Social work activities without accommodation for the elderly and disabled 889 Other social work activities without accommodation 900 Creative, arts and entertainment activities 910 Libraries, archives, museums and other cultural activities 920 Gambling and betting activities 931 Sports activities 932 Amusement and recreation activities 941 Activities of business, employers and professional membership organisations 942 Activities of trade unions 949 Activities of other membership organisations 951 Repair of computers and communication equipment 952 Repair of personal and household goods 960 Other personal service activities 970 Activities of households as employers of domestic personnel 981 Undifferentiated goods-producing activities of private households for own use 982 Undifferentiated service-producing activities of private households for own use 990 Activities of extraterritorial organisations and bodies 999 Unknown 000 NIU (not in universe) This variable indicates the industry in which the person works. IPUMS Type of commuter Austria 2011: All persons 1 Economically active commuters 2 Pupils or students commuting to an educational institution 3 Persons who are not commuting This variable indicates whether or not the individual commutes to school or work. IPUMS Commuting: location of workplace or school Austria 2011: All persons 1 In the same building 2 Within municipality of usual residence 3 Outside municipality of usual residence 4 Abroad 5 Persons who are not commuting This variable identifies the location of the person's workplace or school. IPUMS Living arrangements Austria 2011: All persons 01 Persons in a married couple without children 02 Persons in a married couple with children 03 Partners in a consensual union without children 04 Partners in a consensual union with children 05 Lone parents 06 Daughters or sons of a couple 07 Daughters or sons of lone parent 08 Living alone 09 Not living alone (other non-family household) 10 Persons not in private household This variable indicates the type of living arrangements. IPUMS Family status Austria 2011: Persons living in a private family household [discrepancies: none] 1 Partners in a married couple without children 2 Partners in a married couple with children 3 Partners in a consensual union without children 4 Partners in a consensual union with children 5 Lone parents 6 Daughters or sons in a couple family 7 Daughters or sons in a lone parent family NIU (not in universe) This variable indicates the family status of the respondent. IPUMS Household reference person Austria 2011: All persons Other person 1 Household reference person This variable indicates whether or not the person is the household reference person. IPUMS Family reference person Austria 2011: All persons Other person 1 Family reference person This variable indicates whether or not the person is the family's reference person. IPUMS Type of nucleus family Austria 2011: Persons living in a private family household [discrepancies: none] 01 Married couple families without resident children 02 Married couple families with at least one resident child under 25 03 Married couple families, youngest resident son or daughter 25 or older 04 Consensual union couple families without resident children 05 Consensual union couple families with at least one resident child under 25 06 Consensual union couple families, youngest resident son or daughter 25 or older 07 Lone father families with at least one resident child under 25 08 Lone father families, youngest resident son or daughter 25 or older 09 Lone mother families with at least one resident child under 25 10 Lone mother families, youngest resident son or daughter 25 or older 00 NIU (not in universe) This variable indicates the type of nucleus family. IPUMS Size of nucleus family Austria 2011: Persons living in a private family household [discrepancies: none] 2 2 persons 3 3 4 4 5 5 6 6+ NIU (not in universe) This variable indicates the size of nucleus family. IPUMS Number of children in the nucleus family Austria 2011: Persons living in a private family household [discrepancies: none] No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) This variable indicates the number of children in the nucleus family. IPUMS Age of youngest child in the family Austria 2011: Persons living in a private family household with children [discrepancies: none] 1 Under 3 years 2 3 to 5 3 6 to 14 4 15 to 24 5 25+ NIU (not in universe) This variable indicates the age of youngest child in the family. IPUMS Number of children in the nucleus family under 6 years of age Austria 2011: Persons living in a private family household [discrepancies: none] No children 1 1 2 2 3 3+ 9 NIU (not in universe) This variable indicates the number of children in the nucleus family younger than 6 years old. IPUMS Number of children in the nucleus family under 15 years of age Austria 2011: Persons living in a private family household [discrepancies: none] No children 1 1 2 2 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) This variable indicates the number of children in the nucleus family younger than 15 years. IPUMS Number of children in the nucleus family under 18 years of age Austria 2011: Persons living in a private family household [discrepancies: none] No children 1 1 2 2 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) This variable indicates the number of children in the nucleus family younger than 18 years. IPUMS Number of children in the nucleus family under 25 years of age Austria 2011: Persons living in a private family household [discrepancies: none] No children 1 1 2 2 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) This variable indicates the number of children in the nucleus family less than 25 years of age. IPUMS