DDI_TUR_1985_PHC_v01_M_v7.5_A_IPUMS The 1985 General Population Census IPUMS May 20, 2024 MetadataEditor Version 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. The 1985 General Population Census - IPUMS Subset PHC Turkey 1985 (IPUMS Harmonized Subset) TUR_1985_PHC_v01_M_v7.5_A_IPUMS State Institute of Statistics of Turkey IPUMS (c) Copyright 1985, State Institute of Statistics of Turkey and Minnesota Population Center MetadataEditor State Institute of Statistics of Turkey Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Disability Variables -- PERSON Education Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Turkey District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Place where people reside. - Households: That collectivity composed of one or several people, whether bound by kinship or not, living in the same house or in a portion of the same house, sharing in the provision of service or in the management of the household, who do not separate their income and expenses among themselves. People lacking a kinship bond among themselves, but who live together on a continuous basis for various reasons and make no distinction among themselves in terms of their expenses and earnings, are considered to be households. - Group quarters: Military barracks, jails, hospitals, clinics, boarding schools, prisons, transit stations, factories, embassies. The total population at localities where they are physically present on the census day. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Turkey 1985 MICRODATA SOURCE: State Institute of Statistics of Turkey SAMPLE SIZE (person records): 2507758. SAMPLE DESIGN: Systematic random sampling by province Face-to-face [f2f] Single form with 4 sections: address information, dwelling type information, household questions, and personal characteristics. de facto, CENSUS DAY: October 20, 1985 Self-weighting (expansion factor=20) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. State Institute of Statistics of Turkey 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: Turkey, State Institute of Statistics of Turkey. The 1985 General Population Census 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. TUR1985_PHC-H-H Household records 586 36 TUR1985_PHC-P-H Person records 2507758 82 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 Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 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 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 Turkey, Province 1985 - 2000 [Level 1; consistent boundaries, GIS] 792001 Adana, Gaziantep, Osmaniye, Kilis 792002 Adiyaman 792003 Afyon 792004 Agri 792005 Amasya 792006 Ankara, Kirikkale 792007 Antalya 792008 Artvin 792009 Aydin 792010 Balikesir 792011 Bilecik 792012 Bingöl 792013 Bitlis 792015 Burdur 792017 Çanakkale 792019 Çorum 792020 Denizli 792021 Diyarbakir 792022 Edirne 792023 Elazig 792024 Erzincan 792025 Erzurum 792026 Eskisehir 792028 Giresun 792029 Gümüshane, Bayburt 792031 Hatay 792032 Isparta 792033 Mersin (içel) 792034 Istanbul, Bursa, Kocaeli, Yalova 792035 Izmir 792036 Kars, Ardahan, Igdir 792037 Kastamonu 792038 Kayseri 792039 Kirklareli 792040 Kirsehir 792042 Konya, Karaman 792043 Kütahya 792044 Malatya 792045 Manisa 792046 Kahramanmaras 792047 Mardin, Batman, Siirt, Sirnak, Hakkari 792048 Mugla 792049 Mus 792050 Nevsehir 792051 Aksaray, Nigde 792052 Ordu 792053 Rize 792054 Sakarya 792055 Samsun 792057 Sinop 792058 Sivas 792059 Tekirdag 792060 Tokat 792061 Trabzon 792062 Tunceli 792063 Sanliurfa 792064 Usak 792065 Van 792066 Yozgat 792067 Zonguldak, Bartin, Karabük, Çankiri 792081 Düzce, Bolu GEO1_TR identifies the household's province within Turkey in all sample years. Provinces are the first level administrative units of the country. GEO1_TR is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_TR can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Turkey 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 Turkey, Province 1985 [Level 1, GIS] 001 Adana 002 Adiyaman 003 Afyon 004 Agri 005 Amasya 006 Ankara 007 Antalya 008 Artvin 009 Aydin 010 Balikesir 011 Bilecik 012 Bingöl 013 Bitlis 014 Bolu 015 Burdur 016 Bursa 017 Çanakkale 018 Çankiri 019 Çorum 020 Denizli 021 Diyarbakir 022 Edirne 023 Elazig 024 Erzincan 025 Erzurum 026 Eskisehir 027 Gaziantep 028 Giresun 029 Gümüshane 030 Hakkari 031 Hatay 032 Isparta 033 Içel 034 Istanbul 035 Izmir 036 Kars 037 Kastamonu 038 Kayseri 039 Kirklareli 040 Kirsehir 041 Kocaeli 042 Konya 043 Kütahya 044 Malatya 045 Manisa 046 Kahramanmaras 047 Mardin 048 Mugla 049 Mus 050 Nevsehir 051 Nigde 052 Ordu 053 Rize 054 Sakarya 055 Samsun 056 Siirt 057 Sinop 058 Sivas 059 Tekirdag 060 Tokat 061 Trabzon 062 Tunceli 063 Sanliurfa 064 Usak 065 Van 066 Yozgat 067 Zonguldak GEO1_TR1985 identifies the household's province within Turkey in 1985. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_TR1985 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Turkey 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 Turkey, District 1985 - 2000 [Level 2; consistent boundaries, GIS] 792001001 Seyhan, Yuregir 792001002 Ceyhan 792001003 Kozan, Other Districts [Adana], Central District [Osmaniye], Kadirli, Other Districts [Osmaniye] 792001004 Sahinbey, Sehitkamil 792001005 Nizip, Other Districts [Gaziantep], Central District [Kilis], Other Districts [Kilis] 792002001 Central District [Adiyama] 792002002 Kahta, Other Districts [Adiyama] 792003001 Central District [Afyon], Bolvadin, Other Districts [Afyon] 792004001 Central District [Agri] 792004002 Dogubeyazit, Patnos, Other Districts [Agri] 792005001 Central District [Amasya] 792005002 Other Districts [Amasya] 792006001 Altindag 792006002 Cankaya 792006003 Etimesgut, Sincan, Yenimahalle, Other Districts [Ankara], Central District [Kirikkale], Other Districts [Kirikkale] 792006004 Kecioren 792006005 Mamak 792006006 Polatli 792007001 Central District [Antalya], Alanya, Manavgat, Other Districts [Antalya] 792008001 All Districts [Artvin] 792009001 Central District [Aydin], Soke, Other Districts [Aydin] 792009002 Nazilli 792010001 Central District [Balikesi] 792010002 Bandirma 792010003 Other Districts [Balikesi] 792011001 All Districts [Bilecik] 792012001 Central District [Bingol], Other Districts [Bingol] 792013001 Tatvan 792013002 Other Districts [Bitlis] 792015001 Central District [Burdur], Other Districts [Burdur] 792017001 Central District [Canakkale], Other Districts [Canakkale] 792019001 Central District [Corum], Other Districts [Corum] 792020001 Central District [Denizli], Other Districts [Denizli] 792021001 Central District [Diyarbakir], Bismil, Silvan, Other Districts [Diyarbakir] 792022001 Central District [Edirne], Other Districts [Edirne] 792023001 Central District [Elazig] 792023002 Other Districts [Elazig] 792024001 Central District [Erzincan], Other Districts [Erzincan] 792025001 Central District [Erzurum], Other Districts [Erzurum] 792026001 Central District [Eskisehir], Other Districts [Eskisehir] 792028001 Central District [Giresun] 792028002 Other Districts [Giresun] 792029001 Other Districts [Gumushane], Other Districts [Bayburt] 792031001 Central District [Hatay] 792031002 Dortyol, Iskenderun, Reyhanli, Other Districts [Hatay] 792031003 Kirikhan 792032001 Central District [Isparta], Other Districts [Isparta] 792033001 Central District [Mersin (Icel)] 792033002 Silifke, Tarsus, Other Districts [Mersin (Icel)] 792034001 Nilufer, Osmangazi, Yildirim, Gemlik, Other Districts [Bursa], Other Districts [Kocaeli], Central District [Yalova], Other Districts [Yalova] 792034002 Inegol 792034003 Avcilar, Bagcilar, Bahcelievler, Bakirkoy, Esenler, Gungoren, Kucukcekmece, Other Districts [Istanbul] 792034004 Bayrampasa, Zeytinburnu 792034005 Besiktas 792034006 Beykoz 792034007 Beyoglu 792034008 Eminonu 792034009 Eyup 792034010 Fatih 792034011 Gaziosmanpasa 792034012 Kadikoy 792034013 Kagithane, Sisli 792034014 Kartal, Maltepe, Pendik, Tuzla, Umraniye, Sultanbeyli 792034015 Sariyer 792034016 Uskudar 792034017 Central District [Kocaeli], Korfez, Derince 792034018 Gebze 792034019 Golcuk 792035001 Balcova, Buca, Cigli, Gaziemir, Karsiyaka, Konak, Narlidere, Bergama, Odemis, Other Districts [Izmir] 792035002 Bornova 792036001 Central District [Kars] 792036002 Other Districts [Kars], Other Districts [Ardahan], Central District [Igdir], Other Districts [Igdir] 792037001 Central District [Kastamonu], Other Districts [Kastamonu] 792038001 Kocasinan, Melikgazi, Other Districts [Kayseri] 792039001 Central District [Kirklareli], Luleburgaz, Other Districts [Kirklareli] 792040001 Central District [Kirsehir], Other Districts [Kirsehir] 792042001 Karatay, Meram, Selcuklu, Aksehir, Eregli, Other Districts [Konya], Central District [Karaman], Other Districts [Karaman] 792043001 Central District [Kutahya], Other Districts [Kutahya] 792044001 Central District [Malatya], Other Districts [Malatya] 792045001 Central District [Manisa] 792045002 Akhisar, Soma, Turgutlu, Other Districts [Manisa] 792045003 Salihli 792046001 Central District [Kahramanmaras] 792046002 Elbistan, Other Districts [Kahramanmaras] 792047001 Central District [Hakkari], Yuksekova, Other Districts [Hakkari], Central District [Mardin], Kiziltepe, Midyat, Nusaybin, Other Districts [Mardin], Central District [Siirt], Other Districts [Siirt], Other Districts [Batman] 792047002 Central District [Batman] 792048001 Fethiye, Other Districts [Mugla] 792049001 Central District [Mus], Other Districts [Mus] 792050001 Central District [Nevsehir], Other Districts [Nevsehir] 792051001 Central District [Nidge], Other Districts [Nigde], Central District [Aksaray], Other Districts [Aksaray] 792052001 Central District [Ordu], Fatsa, Unye, Other Districts [Ordu] 792053001 Central District [Rize], Other Districts [Rize] 792054001 Central District [Sakarya], Other Districts [Sakarya] 792055001 Central District [Samsun], Other Districts [Samsun] 792055002 Bafra 792057001 All Districts [Sinop] 792058001 Central District [Sivas], Other Districts [Sivas] 792059001 Central District [Tekirdag] 792059002 Corlu, Other Districts [Tekirdag] 792060001 Central District [Tokat] 792060002 Turhal, Zile, Other Districts [Tokat] 792061001 Central District [Trabzon] 792061002 Other Districts [Trabzon] 792062001 All Districts [Tunceli] 792063001 Central District [Sanliurfa] 792063002 Siverek, Viransehir, Other Districts [Sanliurfa] 792064001 Central District [Usak] 792064002 Other Districts [Usak] 792065001 Central District [Van], Ercis, Other Districts [Van] 792066001 Central District [Yozgat], Sorgun, Other Districts [Yozgat] 792067001 Central District [Cankiri], Other Districts [Cankiri], Eregli, Other Districts [Zonguldak], Other Districts [Bartin], Central District [Karabuk], Other Districts [Karabuk] 792067002 Central District [Zonguldak] 792081001 Central District [Bolu] 792081002 Other Districts [Bolu], Central District [Duzce], Other Districts [Duzce] GEO2_TR identifies the household's district within Turkey in all sample years. Districts are the second level administrative units of the country, after provinces. GEO2_TR is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_TR can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Turkey 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 Turkey, District 1985 [Level 2; GIS] 001000 Central district, Adana 001002 Ceyhan 001008 Kozan 001009 Osmaniye 001099 Adana province, other districts 002000 Central district, Adiyaman 002099 Adiyaman province, other districts 003000 Central district, Afyon 003099 Afyon province, other districts 004000 Central district, Agri 004099 Agri province, other districts 005000 Central district, Amasya 005099 Amasya province, other districts 006001 Altindag 006002 Çankaya 006003 Keçiören 006004 Mamak 006005 Yenimahalle 006018 Kirikkale 006021 Polatl 006022 Sincan 006099 Ankara province, other districts 007000 Central district, Antalya 007099 Antalya province, other districts 008099 Artvin province 009000 Central district, Aydin 009008 Nazilli 009099 Aydin province, other districts 010000 Central district, Balikesir 010003 Bandirma 010099 Balikesir province, other districts 011099 Bilecik province 012099 Bingöl province 013005 Tatvan 013099 Bitlis province, other districts 014000 Central district, Bolu 014099 Bolu province, other districts 015000 Central district, Burdur 015099 Burdur province, other districts 016000 Central district, Bursa 016002 Inegöl 016099 Bursa province, other districts 017099 Çanakkale province 018099 Çankiri province 019000 Central district, Çorum 019099 Çorum province, other districts 020000 Central district, Denizli 020099 Denizli 021000 Central district, Diyarbakir 021099 Diyarbakir province, other districts 022000 Central district, Edirne 022099 Edirne province, other districts 023000 Central district, Elazig 023099 Elazig province, other districts 024000 Central district, Erzincan 024099 Erzincan province, other districts 025000 Central district, Erzurum 025099 Erzurum province, other districts 026000 Central district, Eskisehir 026099 Eskisehir province, other districts 027000 Central district, Gaziantep 027003 Kilis 027004 Nizip 027099 Gaziantep province, other districts 028000 Central district, Giresun 028099 Giresun province, other districts 029099 Gümüshane province 030099 Hakkari province 031000 Central district, Hatay 031004 Iskender 031005 Kirikhan 031099 Hatay province, other districts 032000 Central district, Isparta 032099 Isparta province, other districts 033000 Central district, Içel 033006 Tarsus 033099 Içel province, other districts 034002 Bakirköy 034003 Besiktas 034004 Beykoz 034005 Beyoglu 034006 Eminönü 034007 Eyüp 034008 Fatih 034009 Gaziosmanpasa 034010 Kadiköy 034011 Kartal 034012 Sariyer 034013 Sisli 034014 Üsküdar 034015 Zeytinburnu 034019 Yalova 034099 Istanbul province, other districts 035000 Central district, Izmir 035001 Bornova 035002 Karsiyaka 035099 Izmir province, other districts 036000 Central district, Kars 036099 Kars province, other districts 037099 Kastamonu province 038000 Central district, Kayseri 038099 Kayseri province, other districts 039099 Kirklareli province 040000 Central district, Kirsehir 040099 Kirsehir province, other districts 041000 Central district, Kocaeli 041001 Gebze 041002 Gölcük 041099 Kocaeli province, other districts 042000 Central district, Konya 042007 Eregli 042012 Karaman 042099 Konya province, other districts 043000 Central district, Kütahya 043099 Kütahya province, other districts 044000 Central district, Malatya 044099 Malatya province, other districts 045000 Central district, Manisa 045001 Akhisar 045007 Salihli 045012 Turgutlu 045099 Manisa province, other districts 046000 Central district, Kahramanmaras 046099 Kahramanmaras province, other districts 047099 Mardin province 048099 Mugla province 049099 Mus province 050000 Central district, Nevsehir 050099 Nevsehir province, other districts 051001 Aksaray 051099 Nigde province, other districts 052000 Central district, Ordu 052099 Ordu province, other districts 053000 Central district, Rize 053099 Rize province, other districts 054000 Central district, Sakarya 054099 Sakarya province, other districts 055000 Central district, Samsun 055002 Bafra 055099 Samsun province, other districts 056000 Central district, Siirt 056001 Batman 056099 Siirt province, other districts 057099 Sinop province 058000 Central district, Sivas 058099 Sivas province, other districts 059000 Central district, Tekirdag 059002 Çorlu 059099 Tekirdag province, other districts 060000 Central district, Tokat 060006 Turhal 060099 Tokat province, other districts 061000 Central district, Trabzon 061099 Trabzon province, other districts 062099 Tunceli province 063000 Central district, Sanliurfa 063099 Sanliurfa province, other districts 064000 Central district, Usak 064099 Usak province, other districts 065000 Central district, Van 065099 Van province, other districts 066099 Yozgat province 067000 Central district, Zonguldak 067005 Eregli 067006 Karabük 067099 Zonguldak province, other districts GEO2_TR1985 identifies the household's district within Turkey in 1985. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_TR1985 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Turkey can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS 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 Household classification 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. IPUMS Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. IPUMS Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). IPUMS Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). IPUMS Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). IPUMS Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. IPUMS Dwelling number Turkey 1985: All records This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Turkey 1985: All records 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 40 40 41 41 45 45 51 51 This variable indicates the number of persons in the household. IPUMS Dwelling created by splitting apart a large dwelling or household Turkey 1985: 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 Dwelling created by splitting apart a multiheaded dwelling Turkey 1985: All records No 1 Yes This variable indicates if the dwelling was created by splitting apart a multiheaded dwelling. IPUMS Urban/rural status Turkey 1985: All households 1 City 2 Village This variable indicates whether the household is located in a city or in a village. IPUMS Type of dwelling <svar a="all" v="TR85A027"><span class="h2">Part II: Type of place</span><br /><div class="i1">[Private:]</div><br /><div class="i2">[] 0 House<br />[] 1 Apartment<br />[] 2 Squatter's house<br />[] 3 Tent, hollow, hut, cave, etc.</div><br /><div class="i1">[Collective:]</div><br /><div class="i2">[] 4 Hotel, motel, boarding house, etc.<br />[] 5 School, hostel, hospital, prison, etc.<br />[] 6 Military quarters, garrison, officer's club, etc.<br />[] 7 Train, ship, bus, terminal, etc.<br />[] 8 Others (factory, government office, etc.)</div><br /></svar> Turkey 1985: All households 1 Private 2 Collective This variable indicates if the household is private or collective. IPUMS Head of household at home <svar v="TR85A028 TR85A029 TR85A030"><span class="h2">Part III: Household questions</span><br />[Questions 1-10 were asked of private dwellings, per Part II]<br /></svar></p> <p><svar a="all" v="TR85A028">2. Is the household head at home?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Turkey 1985: Private households [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the head of household was at home during enumeration. IPUMS Household owns the dwelling Turkey 1985: Private households [discrepancies: type I trace; type II 4.3%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household owns the dwelling. IPUMS Number of rooms <svar v="TR85A028 TR85A029 TR85A030"><span class="h2">Part III: Household questions</span><br />[Questions 1-10 were asked of private dwellings, per Part II]<br /></svar></p> <p><svar a="all" v="TR85A032">8. Number of rooms that the household uses.____<br /></svar> Turkey 1985: Private households [discrepancies: type I trace; type II 4.3%] 00 Tent, hut, etc. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) This variable indicates the number of rooms occupied by the household. IPUMS Strata Turkey 1985: 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 5-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 Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother IPUMS Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father IPUMS Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse IPUMS Rule for linking parent 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Rule for linking spouse 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Probable stepmother Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. IPUMS Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. IPUMS Number of own family members in household 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Number of own children under age 5 in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Age of eldest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. IPUMS Age of youngest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to head, Europe 10 Reference person / Head 20 Spouse or partner 21 Husband or wife 22 Partner in consensual union 30 Child/child-in-law of head or of spouse/partner 31 Spouse or partner of child of head 40 Parent of head, of spouse, or of partner 50 Other relative of head, spouse, or partner 60 Non-relative of head 61 Foster child 62 Boarder 63 Domestic servant 64 Other 99 Not stated / unknown ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person. ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. IPUMS Age 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status [detailed version] 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status, Europe NIU (not in universe) 1 Never married 2 Married 3 Widowed and not remarried 4 Divorced/separated and not remarried 5 Widowed or divorced 9 Unknown / missing EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions. EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. IPUMS Children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. IPUMS Children surviving 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHSURV reports the number of children born to a woman who were still living at the time of the census. IPUMS Number of births last year None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. IPUMS Children surviving from births last year 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census. 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 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 Province of birth, Turkey 01 Adana, Gaziantep, Osmaniye and Kilis 02 Adiyaman 03 Afyon 04 Agri 05 Amasya 06 Ankara and Kirikkale 07 Antalya 08 Artvin 09 Aydin 10 Balikesir 11 Bilecik 12 Bingöl 13 Bitlis 14 Bolu and Düzce 15 Burdur 17 Çanakkale 19 Çorum 20 Denizli 21 Diyarbakir 22 Edirne 23 Elazig 24 Erzincan 25 Erzurum 26 Eskisehir 28 Giresun 29 Gümüshane and Bayburt 31 Hatay 32 Isparta 33 Mersin (içel) 34 Istanbul, Bursa, Kocaeli and Yalova 35 Izmir 36 Kars, Ardahan and Igdir 37 Kastamonu 38 Kayseri 39 Kirklareli 40 Kirsehir 42 Konya and Karaman 43 Kütahya 44 Malatya 45 Manisa 46 Kahramanmaras 47 Mardin, Hakkari, Siirt, Batman and Sirnak 48 Mugla 49 Mus 50 Nevsehir 51 Nigde and Aksaray 52 Ordu 53 Rize 54 Sakarya 55 Samsun 57 Sinop 58 Sivas 59 Tekirdag 60 Tokat 61 Trabzon 62 Tunceli 63 Sanliurfa 64 Usak 65 Van 66 Yozgat 67 Zonguldak, Çankiri, Karabuk and Bartin 98 Abroad 99 Unknown BPLTR indicates the person's province of birth within Turkey. IPUMS Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 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, Turkey 00 NIU (not in universe) 10 None 20 Primary education (5 years) 30 Junior high school 40 Vocational junior high school 50 Basic education (8 years) 60 High school 70 Vocational high school 80 Higher education 98 Unknown EDUCTR indicates the person's educational attainment in Turkey in terms of the level of schooling completed. IPUMS Educational attainment, Europe 00 NIU (not in universe) 10 Less than primary 20 Primary (first stage of basic education) 30 Lower secondary (second stage of basic education) 40 Upper secondary 50 Post-secondary non-tertiary education 60 University completed 99 Unknown/missing EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities. EEDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EEDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country. Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL. EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples. IPUMS Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Activity status (employment status) [detailed version] 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work, disabled or health reasons 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Labor force participation 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. IPUMS Occupation, ISCO general 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. IPUMS Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 IPUMS Industry, general recode 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. IPUMS Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 IPUMS Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Status in employment (class of worker) [detailed version] 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Period seeking work 00 NIU (not in universe) 10 Seeking work less than one year 11 Seeking work less than 1 month 12 Seeking work less than 3 months 13 Seeking work 1 to less than 3 months 14 Seeking work 1 to 6 months 15 Seeking work 3 to 12 months 16 Seeking work 3 to less than 6 months 17 Seeking work 6 to 12 months 20 Seeking work more than 1 year 21 Seeking work more than 1 and up to 2 years 22 Seeking work more than 2 years 90 Seeking work, unspecified period 99 Unknown LOOKJOB indicates the continuous period of time that an unemployed person has been seeking work. IPUMS Disability status NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown DISABLED indicates whether the person reported a disability of any kind. IPUMS Blind or vision-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISBLND indicates whether the person was blind or had limited vision. IPUMS Deaf or hearing-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISDEAF indicates whether the person was deaf or had limited hearing. IPUMS Disability affecting lower extremities NIU (not in universe) 1 Yes 2 No 9 Unknown DISLOWR indicates whether the person lacked use of one or both legs. IPUMS Disability affecting upper extremities NIU (not in universe) 1 Yes 2 No 9 Unknown DISUPPR indicates whether the person lacked full use of at least one arm or hand. IPUMS Mental disability NIU (not in universe) 1 Yes 2 No 9 Unknown DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. IPUMS Origin of disability 00 NIU (not in universe) 10 Congenital, since birth 20 Disease 21 Polio, infant paralysis 22 Parkinsons 23 Sclerosis 24 Stroke 25 Epilepsy 26 Hanson disease 29 Other disease 30 Accident 31 Work accident 32 Transport accident 33 Animal accident 34 Sports, athletic, or playing accident 39 Other accident 40 Other 41 Aging 42 Mental infirmity 43 War injury 44 Genocide 45 Anti-personnel mine or unexploded ordnance (UXO) 46 Domestic violence 47 Violence of delinquency 48 Other form of violence 49 Witchcraft 50 Other cause, n.e.c. 70 Multiple causes 90 No disability 99 Unknown DISORIG indicates the cause or origin of a person's stated disability. IPUMS Person number (within household) Turkey 1985: All records 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 This variable indicates the person number within the household. IPUMS Sex <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar a="all" v="TR85A401">12. Sex<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> Turkey 1985: All persons 1 Male 2 Female This variable indicates the sex of the person. IPUMS Age <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar a="all" v="TR85A402">13. Age completed<br /><div class="i1">(Enter "0" for infants younger than 1)<br /><br />____</div><br /></svar> Turkey 1985: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90+ 98 Unknown This variable indicates the person's age, in completed years. IPUMS Relationship to the head of household <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar a="all" v="TR85A403">15. Relationship to the household head<br /><div class="i1">(Enter as "guests" those who do not stay in this house permanently.)<br /><br />____</div><br /></svar> Turkey 1985: All persons Head of household 1 Wife/husband 2 Child 3 Child in-law or grandchild 4 Parent or parent in-law 5 Other relative 6 Other, non-relative 7 Visitor 8 Person in collective dwelling 9 Unknown This variable indicates the person's relationship to the head of household. IPUMS Province of birth <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar a="all" v="TR85A404">14. Place of birth<br /><div class="i1">(For those born in Turkey, indicate the province that is the place of birth; and for those born abroad, indicate the country that is the place of birth.)<br /><br />____</div><br /></svar> Turkey 1985: All persons 01 Adana 02 Adiyaman 03 Afyon 04 Agri 05 Amasya 06 Ankara 07 Antalya 08 Artvin 09 Aydin 10 Balikesir 11 Bilecik 12 Bingöl 13 Bitlis 14 Bolu 15 Burdur 16 Bursa 17 Çanakkale 18 Çankiri 19 Çorum 20 Denizli 21 Diyarbakir 22 Edirne 23 Elazig 24 Erzincan 25 Erzurum 26 Eskisehir 27 Gaziantep 28 Giresun 29 Gümüshane 30 Hakkari 31 Hatay 32 Isparta 33 Içel 34 Istanbul 35 Izmir 36 Kars 37 Kastamonu 38 Kayseri 39 Kirklareli 40 Kirsehir 41 Kocaeli 42 Konya 43 Kütahya 44 Malatya 45 Manisa 46 Kahramanmaras 47 Mardin 48 Mugla 49 Mus 50 Nevsehir 51 Nigde 52 Ordu 53 Rize 54 Sakarya 55 Samsun 56 Siirt 57 Sinop 58 Sivas 59 Tekirdag 60 Tokat 61 Trabzon 62 Tunceli 63 Sanliurfa 64 Usak 65 Van 66 Yozgat 67 Zonguldak 90 Born abroad 98 Unknown This variable indicates the person's province of birth. IPUMS Nationality <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar a="all" v="TR85A405">16. Citizenship<br /><div class="i1">(If Turkish citizen, check "T. C."; if citizen of a foreign country, enter the name of that country.)<br /><br />[] 1 T. C.<br />If not T. C., specify ____</div><br /></svar> Turkey 1985: All persons 1 Turkish 2 Foreigner 3 Unknown This variable indicates the person's country of citizenship. IPUMS Disability <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A406 TR85A407 TR85A408"><span class="em">Physical disability</span><br /></svar></p> <p><svar a="all" v="TR85A406">20. Visible physical disability, mental disorder or psychological defect, if any<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Turkey 1985: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the person has a disability. IPUMS Type of disability <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A406 TR85A407 TR85A408"><span class="em">Physical disability</span><br /></svar></p> <p><svar a="all" v="TR85A406">20. Visible physical disability, mental disorder or psychological defect, if any<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar></p> <p><svar v="TR85A407 TR85A408">Ask those who answer "Yes" to question 20.<br />[Questions 21-22 were asked of those who had physical disability, as per question 20.]<br /></svar></p> <p><svar a="all" v="TR85A407">21. Nature of disability<br /><div class="i1">(One eye blind, two eyes blind, one leg crippled, crippled, one ear deaf, dumb with mental disorder or psychological defect, etc.)<br /><br />____</div><br /></svar> Turkey 1985: Persons with a disability [discrepancies: type 1 trace; type II none] 01 Blind 02 One eye blind 03 Deaf in one ear 04 Deaf 05 Disability in arms 06 Disability in legs 07 Hunchbacked 08 Crippled 09 Mental disability 10 Other 98 Unknown 99 NIU (not in universe) This variable indicates the type of disability that the person has. IPUMS Cause of disability <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A406 TR85A407 TR85A408"><span class="em">Physical disability</span><br /></svar></p> <p><svar a="all" v="TR85A406">20. Visible physical disability, mental disorder or psychological defect, if any<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar></p> <p><svar v="TR85A407 TR85A408">Ask those who answer "Yes" to question 20.<br />[Questions 21-22 were asked of those who had physical disability, as per question 20.]<br /></svar></p> <p><svar a="all" v="TR85A408">22. Cause of disability<br /><div class="i1">[] 1 Congenital<br />[] 2 Traffic accident<br />[] 3 Work accident<br />[] 4 Illness<br />[] 5 Other</div><br /></svar> Turkey 1985: Persons with a disability [discrepancies: none] 1 Congenital 2 Traffic accident 3 Work accident 4 Illness 5 Other 8 Unknown 9 NIU (not in universe) This variable indicates the cause of the person's disability. IPUMS Literacy <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A409 TR85A410"><span class="em">Educational background</span><br /></svar></p> <p><svar a="all" v="TR85A409">27. Can you read and write?<br /><div class="i1">Ask persons age 6 or older<br /><br />[] 4 Yes<br />[] 5 No</div><br /></svar> Turkey 1985: Persons age 6+ [discrepancies: none] 1 Yes (literate) 2 No (illiterate) 8 Unknown 9 NIU (not in universe) This variable indicates whether the person is literate. IPUMS Highest level of education completed <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A409 TR85A410"><span class="em">Educational background</span><br /></svar></p> <p><svar a="all" v="TR85A409">27. Can you read and write?<br /><div class="i1">Ask persons age 6 or older<br /><br />[] 4 Yes<br />[] 5 No</div><br /></svar></p> <p><svar a="all" v="TR85A410">28. Last school completed<br /><div class="i1">[Question 28 was asked of literate persons age 6 or older]<br /><br />(Primary, secondary, high school, commercial high school, medical college, teacher training schools, etc.)<br /><br />____</div><br /></svar> Turkey 1985: Literate persons age 6+ [discrepancies: none] 1 No school completed 2 Primary school 3 Junior high school 4 Vocational at junior high school level 5 High school 6 Vocational at high school level 7 Higher education and university 8 Unknown 9 NIU (not in universe) This variable indicates the highest level of education that the person has completed. IPUMS Marital status <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar a="all" v="TR85A411">29. Marital status<br /><div class="i1">(Ask persons age 12 or older)<br /><br />[] 1 Never married<br />[] 2 Married<br />[] 3 Divorced<br />[] 4 Widowed</div><br /></svar> Turkey 1985: Persons age 12+ [discrepancies: none] 1 Never married 2 Married 3 Divorced 4 Widowed 8 Unknown 9 NIU (not in universe) This variable indicates the person's marital status. IPUMS Number of live born children <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A412 TR85A413 TR85A414 TR85A415"><span class="em">Fertility</span><br />(Ask married, widowed and divorced females age 12 or older)<br />[Questions 30-33 were asked of ever married females age 12 or older]<br /></svar></p> <p><svar a="all" v="TR85A412">30. Number of children alive or dead you have given birth to whether male or female ____<br /></svar> Turkey 1985: Ever-married females age 12+ [discrepancies: type I none; type II 2.2%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) This variable indicates the number of live born children that the woman has ever had. IPUMS Number of living children <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A412 TR85A413 TR85A414 TR85A415"><span class="em">Fertility</span><br />(Ask married, widowed and divorced females age 12 or older)<br />[Questions 30-33 were asked of ever married females age 12 or older]<br /></svar></p> <p><svar a="all" v="TR85A413">31. How many of the children to whom you gave birth are alive now? ____<br /><div class="i1">[Question 31 was asked of ever married females age 12 or older who have ever given birth.]</div><br /></svar> Turkey 1985: Ever-married females age 12+ who have ever given birth [discrepancies: type I none; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) This variable indicates the number of children that the woman has ever had that are still alive. IPUMS Number of children born alive last year <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A412 TR85A413 TR85A414 TR85A415"><span class="em">Fertility</span><br />(Ask married, widowed and divorced females age 12 or older)<br />[Questions 30-33 were asked of ever married females age 12 or older]<br /></svar></p> <p><svar v="TR85A414 TR85A415">[Questions 32-33 were asked of ever married females ages 12-49 who ever gave birth.]<br /></svar></p> <p><svar a="all" v="TR85A414">32. Number of children alive or dead, male or female, to whom you gave birth in the preceding year?<br /><div class="i1">(Since 20 October, 1984 -- i.e., since last autumn)<br /><br />____</div><br /></svar> Turkey 1985: Ever-married females age 12-49 who have ever given birth [discrepancies: type I trace; type II 13.5%] 1 1 2 2 9 NIU (not in universe) This variable indicates the number of children that the woman has borne alive last year. IPUMS Number of children born alive last year who have died <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A412 TR85A413 TR85A414 TR85A415"><span class="em">Fertility</span><br />(Ask married, widowed and divorced females age 12 or older)<br />[Questions 30-33 were asked of ever married females age 12 or older]<br /></svar></p> <p><svar v="TR85A414 TR85A415">[Questions 32-33 were asked of ever married females ages 12-49 who ever gave birth.]<br /></svar></p> <p><svar a="all" v="TR85A415">33. Did you have children who died before reaching 1 year of age in the preceding year? If any, how many?<br /><div class="i1">(Since 20 October, 1984 -- i.e., since last autumn)<br /><br />_____</div><br /></svar> Turkey 1985: Ever-married females age 12-49 who have ever given birth [discrepancies: type I none; type II 15.2%] 1 1 2 2 9 NIU (not in universe) This variable indicates the number of children that the woman has borne alive in the past year who have subsequently died. IPUMS Worked during previous week <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar a="all" v="TR85A416">34. Did you work in any job last week for cash or income in kind; if you didn't, do you continue having a job?<br /><div class="i1">[] 5 Worked<br />[] 6 Didn't work but has a job<br />[] 7 Didn't work</div><br /></svar> Turkey 1985: Persons age 12+ [discrepancies: none] 1 Worked 2 Did not work but has a job 3 Did not work 8 Unknown 9 NIU (not in universe) This variable indicates whether the person worked during the week preceding the census date. IPUMS Occupation (1-digit) <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A417 TR85A418 TR85A419 TR85A420 TR85A421">Ask those who answer question 34 as "Worked" or "Didn't work but has a job"<br />[Questions 35-38 were asked of persons age 12 or older who worked or didn't work but had a job last week, as per question 34]<br /></svar></p> <p><svar a="all" v="TR85A417 TR85A418">35. Kind of work you did last week or the job you continue to have?<br /><div class="i1">(Farmer, mechanical engineer, bank manager, typist, teacher, green grocer, yogurt seller, shoe repairman, barber, etc.)<br /><br />____</div><br /></svar> Turkey 1985: Persons age 12+ with a job last week [discrepancies: none] 1 Scientific, technical, professional and related workers 2 Administrative and managerial workers 3 Clerical and related workers 4 Commercial and sales workers 5 Services workers 6 Agricultural, animal husbandry, forestry workers, fishermen and hunters 7 Non-agricultural production and related workers, transport equipment operators and laborers 8 Unknown 9 NIU (not in universe) This variable indicates the person's occupation, classified by one digit. IPUMS Occupation (2-digit) <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A417 TR85A418 TR85A419 TR85A420 TR85A421">Ask those who answer question 34 as "Worked" or "Didn't work but has a job"<br />[Questions 35-38 were asked of persons age 12 or older who worked or didn't work but had a job last week, as per question 34]<br /></svar></p> <p><svar a="all" v="TR85A417 TR85A418">35. Kind of work you did last week or the job you continue to have?<br /><div class="i1">(Farmer, mechanical engineer, bank manager, typist, teacher, green grocer, yogurt seller, shoe repairman, barber, etc.)<br /><br />____</div><br /></svar> Turkey 1985: Persons age 12+ with a job last week [discrepancies: none] 01 Physicists, chemists and related workers 02 Architects, engineers and related technicians 03 Aircraft and ship officers 04 Life scientists and related technicians 05 Medical, dental, veterinary and related workers 06 Statisticians, mathematicians, systems analysts and related technicians 07 Economists 08 Financial counsellors and accountants 09 Jurists 10 Teachers 11 Religious workers 12 Authors, journalists and related writers 13 Sculptors, painters, photographers and related creative artists 14 Composers and performing artists 15 Athletes, sportsmen and related workers 16 Professional, technical and related workers, nec 17 Legislative officials and goverment administrators 18 Managers 19 Clerical supervisors 20 Goverment executive officials 21 Stenographers, typists and card and tape punching machine operators 22 Bookkeepers, cashiers and related workers 23 Computing machine operators 24 Transport and communication supervisors 25 Transport conductors 26 Mail distribution clerks 27 Telephone and telegraph operators 28 Clerical and related workers, nec 29 Managers (wholesale and retail trade) 30 Working proprietors 31 Sales supervisors and buyers 32 Technical salesman, commercial travellers and manufacturer agents 33 Insurance, real estate, securities and business services, salesmen and auctioneers 34 Salesmen, shop assistants and demonstrators 35 Commercial and sales workers, nec 36 Administrators of hotel, cafe, restaurant, casino, pastry-shop, cinema, theatre and related places 37 Administrative and managerial owners of hotel, cafe, restaurant, casino, pastry-shop, cinema, theatre and related places 38 Housekeeping and related service supervisors 39 Cooks, waiters, bartenders and related workers 40 Maids and related workers 41 Building caretakers, char workers 42 Launderers, dry cleaners and pressers 43 Hairdressers, barbers, beauticians and related workers 44 Protective service workers 45 Services workers, nec 46 Farm managers and supervisors 47 Farmers 48 Agricultural and animal husbandry workers 49 Forestry workers 50 Fishermen, hunters and related workers 51 Production supervisors and general foremen 52 Miners, quarrymen, well drillers and related workers 53 Metal processers 54 Wood preparation workers and paper makers 55 Chemical processers and related workers 56 Spinners, weavers, knitters, dyers and related workers 57 Tanners, fellmongers and pelt dressers 58 Food and beverage processers 59 Tobacco preparers and tobacco product makers 60 Tailors, dressmakers, upholsterers and related workers 61 Shoemakers and leather goods makers 62 Cabinetmakers and related wood workers 63 Stone cutters and carvers 64 Blacksmiths toolmakers and machine-tool operators 65 Machinery fitters, machine assemblers and precision instrument makers (except electrical). 66 Electrical fitters and related electrical and electronics workers 67 Broadcasting station and sound equipment operators and cinema projectionists 68 Plumbers, sanitary installation, tin and copper workers, metallic pipe fitters 69 Goldsmiths and jewellers 70 Glass and glass products, ceramic and earthenware workers 71 Plastic and rubber material workers 72 Paper, paper-board and binding material workers 73 Compositors, printers, binders and related workers 74 House painters and whitewashers 75 Production and related workers, nec 76 Master builder, carpenter and other construction workers 77 Fixed installment machinery operators 78 Loading and unloading workers and construction equipment operators 79 Transport equipment operators 80 Unskilled workers or unclassifiable workers 98 Unknown 99 NIU (not in universe) This variable indicates the person's occupation, classified by two digits. IPUMS Industry (1-digit) <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A417 TR85A418 TR85A419 TR85A420 TR85A421">Ask those who answer question 34 as "Worked" or "Didn't work but has a job"<br />[Questions 35-38 were asked of persons age 12 or older who worked or didn't work but had a job last week, as per question 34]<br /></svar></p> <p><svar a="all" v="TR85A419 TR85A420">37. Nature of work done at the work place where you worked last week or you continue to work<br /><div class="i1">(Public service, retail trade, banking, manufacture of refrigerators, TV repairs, etc.)<br /><br />____</div><br /></svar> Turkey 1985: Persons age 12+ with a job last week [discrepancies: type I none; type II 0.2%] 01 Agriculture, hunting, forestry and fishing 02 Mining and quarrying 03 Manufacturing 04 Electricity, gas and water 05 Construction 06 Wholesale and retail trade, restaurants, hotels 07 Transport, communication and storage 08 Finance, insurance, real estate and business services 09 Community, social and personal services 98 Unknown 99 NIU (not in universe) This variable indicates the industry that the person works in, classified by one digit. IPUMS Industry (2-digit) <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A417 TR85A418 TR85A419 TR85A420 TR85A421">Ask those who answer question 34 as "Worked" or "Didn't work but has a job"<br />[Questions 35-38 were asked of persons age 12 or older who worked or didn't work but had a job last week, as per question 34]<br /></svar></p> <p><svar a="all" v="TR85A419 TR85A420">37. Nature of work done at the work place where you worked last week or you continue to work<br /><div class="i1">(Public service, retail trade, banking, manufacture of refrigerators, TV repairs, etc.)<br /><br />____</div><br /></svar> Turkey 1985: Persons age 12+ with a job last week [discrepancies: type I none, type II 0.2%] 01 Agriculture and hunting 02 Forestry and logging 04 Coal mining 06 Metal, ore, mining 07 Other mining 08 Manufacturing of food, beverages and tobacco 09 Textile wearing apparel and leather industries 10 Manufacture of wood and wood products, including furniture 11 Manufacture of paper and paper products, printing and publishing 12 Manufacture of chemicals and chemical, petroleum, coal, rubber and plastic products 13 Manufacture of nonmetalic mineral products 14 Basic metal industries 15 Manufacture of fabricated metal products, machinery and equipment 16 Other manufacturing industries 17 Electricity, gas and steam 18 Water works and supply 19 Construction 20 Wholesale trade 21 Retail trade 22 Restaurants and hotels 23 Transport 24 Communication 25 Financial institutions 26 Insurance 27 Real estate and business services 28 Public administration and defence 29 Environmental health and similar services 30 Social and similar public services 31 Creative and cultural services 32 Personal services 33 International and other foreign organizations 98 Unknown 99 NIU (not in universe) This variable indicates the industry that the person works in, classified by two digits. IPUMS Status in employment <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A417 TR85A418 TR85A419 TR85A420 TR85A421">Ask those who answer question 34 as "Worked" or "Didn't work but has a job"<br />[Questions 35-38 were asked of persons age 12 or older who worked or didn't work but had a job last week, as per question 34]<br /></svar></p> <p><svar a="all" v="TR85A421">38. Employment status in the job you worked last week or where you continue to work.<br /><div class="i1">[] 0 Employee<br />[] 1 Employer<br />[] 2 Own account<br />[] 3 Unpaid family worker</div><br /></svar> Turkey 1985: Persons age 12+ with a job last week [discrepancies: type I none; type II 0.2%] 1 Employee 2 Employer 3 Self-employed/own account 4 Unpaid family worker 8 Unknown 9 NIU (not in universe) This variable indicates the type of employment that the person holds. IPUMS Reason for not working <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A422 TR85A423 TR85A424">Ask those who answer "Didn't work" to question 34<br />[Questions 39-41 were asked of those who did not work last week, per question 34]<br /></svar></p> <p><svar a="all" v="TR85A422">39. Reason for not working, if you didn't work or discontinue working<br /><div class="i1">(Put an "X" in the box "Other" for persons disabled or in prison.)<br /><br />[] 3 Retired<br />[] 4 Student<br />[] 5 Housewife<br />[] 6 Income recipient<br />[] 7 Other<br />[] 8 Unemployed</div><br /></svar> Turkey 1985: Persons age 12+ without a job last week [discrepancies: none] 1 Retired 2 Student 3 Housewife 4 Income recipients 5 Other 6 Unemployed 8 Unknown 9 NIU (not in universe) This variable indicates the reason that the person is not working. IPUMS Seeking a job <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A422 TR85A423 TR85A424">Ask those who answer "Didn't work" to question 34<br />[Questions 39-41 were asked of those who did not work last week, per question 34]<br /></svar></p> <p><svar a="all" v="TR85A423">40. Are you looking for a job?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Turkey 1985: Persons age 12+ without a job last week [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person is seeking a job. IPUMS Duration of job search <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar v="TR85A422 TR85A423 TR85A424">Ask those who answer "Didn't work" to question 34<br />[Questions 39-41 were asked of those who did not work last week, per question 34]<br /></svar></p> <p><svar a="all" v="TR85A424">41. How long have you been looking for a job?<br /><div class="i1">Ask those who answer "Yes" [looking for a job] in question 40.<br /><br />[] 3 Less than one month<br />[] 4 1 to 6 months<br />[] 5 7 to 12 months<br />[] 6 Over 12 months</div><br /></svar> Turkey 1985: Persons age 12+ without a job last week who are seeking work [discrepancies: none] 1 Less than 1 month 2 1-6 months 3 7-12 months 4 More than 12 months 8 Unknown 9 NIU (not in universe) This variable indicates the duration of time that the person has been seeking a job. IPUMS Main profession (1-digit) <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar a="all" v="TR85A425 TR85A426">42. What is your main occupation?<br /><div class="i1">Ask persons age 12 or older<br /><br />[] 0 None<br />If you have one, specify____</div><br /></svar> Turkey 1985: Persons age 12+ [discrepancies: type I none; type II 25.2%] 01 Scientific, technical, professional and related workers 02 Administrative and managerial workers 03 Clerical and related workers 04 Commercial and sales workers 05 Services workers 06 Agricultural, animal husbandry, forestry workers, fisherman and hunters 07 Non-agricultural production and related workers, transport equipment operators and laborers 08 Without a profession 98 Unknown 99 NIU (not in universe) This variable indicates the person's main profession, classified by one digit. IPUMS Main profession (2-digit) <svar v=" TR85A400 TR85A401 TR85A402 TR85A403 TR85A404 TR85A405 TR85A406 TR85A407 TR85A408 TR85A409 TR85A410 TR85A411 TR85A412 TR85A413 TR85A414 TR85A415 TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="h2">Part IV: Questions on personal characteristics</span><br /></svar></p> <p><svar v="TR85A416 TR85A417 TR85A418 TR85A419 TR85A420 TR85A421 TR85A422 TR85A423 TR85A424 TR85A425 TR85A426"><span class="em">Employment status in the last week</span><br />(Ask persons age 12 or older)<br />[Questions 34-42 were asked of persons age 12 or older]<br /></svar></p> <p><svar a="all" v="TR85A425 TR85A426">42. What is your main occupation?<br /><div class="i1">Ask persons age 12 or older<br /><br />[] 0 None<br />If you have one, specify____</div><br /></svar> Turkey 1985: Persons age 12+ [discrepancies: none] 01 Physicists, chemists and related workers 02 Architects, engineers and related technicians 03 Aircraft and ship officers 04 Life scientists and related technicians 05 Medical, dental, veterinary and related workers 06 Statisticians, mathematicians, systems analysts and related technicians 07 Economists 08 Financial counsellors and accountants 09 Jurists 10 Teachers 11 Workers in religion 12 Authors, journalists and related writers 13 Sculptors, painters, photographers and related creative artists 14 Composers and performing artists 15 Athletes, sportsmen and related workers 16 Professional, technical and related workers, nec 17 Legislative officials and goverment administrators 18 Managers 19 Clerical supervisors 20 Goverment executive officials 21 Stenographers, typists and card and tape punching machine operators 22 Bookkeepers, cashiers and related workers 23 Computing machine operators 24 Transport and communication supervisors 25 Transport conductors 26 Mail distribution clerks 27 Telephone and telegraph operators 28 Clerical and related workers, nec 29 Managers (wholesale and retail trade) 30 Working proprietors 31 Sales supervisors and buyers 32 Technical salesman, commercial travellers and manufacturer agents 33 Insurance, real estate, securities and business services, salesmen and auctioneers 34 Salesmen, shop assistants and demonstrators 35 Commercial and sales workers, nec 36 Administrators of hotel, cafe, restaurant, casino, pastry-shop, cinema, theatre and related places 37 Administrative and managerial owners of hotel, cafe, restaurant, casino, pastry-shop, cinema, theatre and related places 38 Housekeeping and related service supervisors 39 Cooks, waiters, bartenders and related workers 40 Maids and related workers 41 Building caretakers, char workers 42 Launderers, dry cleaners and pressers 43 Hairdressers, barbers, beauticians and related workers 44 Protective service workers 45 Services workers, nec 46 Farm managers and supervisors 47 Farmers 48 Agricultural and animal husbandry workers 49 Forestry workers 50 Fishermen, hunters and related workers 51 Production supervisors and general foremen 52 Miners, quarrymen, well drillers and related workers 53 Metal processers 54 Wood preparation workers and paper makers 55 Chemical processers and related workers 56 Spinners, weavers, knitters, dyers and related workers 57 Tanners, fellmongers and pelt dressers 58 Food and beverage processers 59 Tobacco preparers and tobacco product makers 60 Tailors, dressmakers, upholsterers and related workers 61 Shoemakers and leather goods makers 62 Cabinetmakers and related wood workers 63 Stone cutters and carvers 64 Blacksmiths toolmakers and machine-tool operators 65 Machinery fitters, machine assemblers and precision instrument makers (except electrical). 66 Electrical fitters and related electrical and electronics workers 67 Broadcasting station and sound equipment operators and cinema projectionists 68 Plumbers, sanitary installation, tin and copper workers, metallic pipe fitters 69 Goldsmiths and jewellers 70 Glass and glass products, ceramic and earthenware workers 71 Plastic and rubber material workers 72 Paper, paper-board and binding material workers 73 Compositors, printers, binders and related workers 74 House painters and whitewashers 75 Production and related workers, nec 76 Master builder, carpenter and other construction workers 77 Fixed installment machinery operators 78 Loading and unloading workers and construction equipment operators 79 Transport equipment operators 80 Unskilled workers or unclassifiable workers 81 Without a profession 98 Unknown 99 NIU (not in universe) This variable indicates the person's main profession, classified by two digits. IPUMS